From 618a3c556011f1298e113ea16ad45d3891b15be5 Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Thu, 26 Mar 2026 22:15:22 +0100 Subject: [PATCH 01/52] simd goldilocks --- src/lib.rs | 5 +- src/multilinear_sumcheck.rs | 113 ++++++ src/simd_fields/goldilocks/bridge.rs | 89 +++++ src/simd_fields/goldilocks/mod.rs | 9 + src/simd_fields/goldilocks/neon.rs | 506 +++++++++++++++++++++++++++ src/simd_fields/mod.rs | 104 ++++++ src/simd_sumcheck/evaluate.rs | 258 ++++++++++++++ src/simd_sumcheck/mod.rs | 7 + src/simd_sumcheck/prove.rs | 147 ++++++++ src/simd_sumcheck/reduce.rs | 253 ++++++++++++++ 10 files changed, 1490 insertions(+), 1 deletion(-) create mode 100644 src/simd_fields/goldilocks/bridge.rs create mode 100644 src/simd_fields/goldilocks/mod.rs create mode 100644 src/simd_fields/goldilocks/neon.rs create mode 100644 src/simd_fields/mod.rs create mode 100644 src/simd_sumcheck/evaluate.rs create mode 100644 src/simd_sumcheck/mod.rs create mode 100644 src/simd_sumcheck/prove.rs create mode 100644 src/simd_sumcheck/reduce.rs diff --git a/src/lib.rs b/src/lib.rs index 0ee4112a..8c2cf100 100644 --- a/src/lib.rs +++ b/src/lib.rs @@ -35,7 +35,7 @@ mod multilinear_sumcheck; pub use inner_product_sumcheck::{ accumulate_sparse_evaluations, batched_constraint_poly, inner_product_sumcheck, ProductSumcheck, }; -pub use multilinear_sumcheck::{multilinear_sumcheck, Sumcheck}; +pub use multilinear_sumcheck::{multilinear_sumcheck, simd_multilinear_sumcheck, Sumcheck}; // ─── Internal / Advanced ───────────────────────────────────────────────────── @@ -52,5 +52,8 @@ pub mod order_strategy; pub mod coefficient_sumcheck; pub mod folding; +pub mod simd_fields; +pub mod simd_sumcheck; + #[doc(hidden)] pub mod tests; diff --git a/src/multilinear_sumcheck.rs b/src/multilinear_sumcheck.rs index 09097a84..810200a5 100644 --- a/src/multilinear_sumcheck.rs +++ b/src/multilinear_sumcheck.rs @@ -25,6 +25,7 @@ use ark_ff::Field; use crate::multilinear::reductions::pairwise; +use crate::simd_fields::SimdAccelerated; use crate::transcript::Transcript; pub use crate::multilinear::Sumcheck; @@ -93,6 +94,75 @@ pub fn multilinear_sumcheck>( } } +/// SIMD-accelerated multilinear sumcheck (base = extension). +/// +/// Same semantics as [`multilinear_sumcheck`], but uses native SIMD intrinsics +/// for the hot-path evaluate and reduce operations. The dispatch is **compile-time**: +/// this function only exists for fields that implement [`SimdAccelerated`]. +/// +/// # How it works +/// +/// 1. Converts evaluations from arkworks `Field` representation to raw scalars (O(n)) +/// 2. Runs the sumcheck entirely in the raw SIMD domain (O(n log n)) +/// 3. Wraps the round messages back in arkworks types +/// +/// The O(n) conversion cost is amortized by the O(n log n) sumcheck. +/// +/// # Usage +/// +/// ```text +/// // This compiles only if F64 implements SimdAccelerated: +/// let result = simd_multilinear_sumcheck::(&evals, &mut transcript); +/// ``` +pub fn simd_multilinear_sumcheck( + evaluations: &[BF], + transcript: &mut impl Transcript, +) -> Sumcheck +where + BF: Field + SimdAccelerated, +{ + use crate::simd_sumcheck::evaluate::evaluate_parallel; + use crate::simd_sumcheck::reduce::reduce_parallel; + + assert!( + evaluations.len().count_ones() == 1, + "length must be a power of 2" + ); + assert!(evaluations.len() >= 2, "need at least 1 variable"); + + let num_rounds = evaluations.len().trailing_zeros() as usize; + let mut prover_messages: Vec<(BF, BF)> = Vec::with_capacity(num_rounds); + let mut verifier_messages: Vec = Vec::with_capacity(num_rounds); + + // Convert to raw scalars (one-time O(n) cost) + let mut current = BF::slice_to_raw(evaluations); + + for round in 0..num_rounds { + // SIMD evaluate + let (s0_raw, s1_raw) = evaluate_parallel::(¤t); + let s0 = BF::from_raw(s0_raw); + let s1 = BF::from_raw(s1_raw); + + prover_messages.push((s0, s1)); + transcript.write(s0); + transcript.write(s1); + + let challenge = transcript.read(); + verifier_messages.push(challenge); + + if round < num_rounds - 1 { + // SIMD reduce + let challenge_raw = BF::to_raw(challenge); + current = reduce_parallel::(¤t, challenge_raw); + } + } + + Sumcheck { + verifier_messages, + prover_messages, + } +} + #[cfg(test)] mod tests { use super::*; @@ -138,4 +208,47 @@ mod tests { assert_eq!(result.prover_messages.len(), NUM_VARS); assert_eq!(result.verifier_messages.len(), NUM_VARS); } + + #[test] + fn test_simd_parity_with_generic() { + use crate::transcript::SanityTranscript; + + let num_vars = 16; + let n = 1 << num_vars; + + let mut rng = test_rng(); + let evaluations: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + + // Run generic sumcheck + let mut generic_evals = evaluations.clone(); + let mut rng1 = test_rng(); + let mut transcript1 = SanityTranscript::new(&mut rng1); + let generic_result = multilinear_sumcheck::(&mut generic_evals, &mut transcript1); + + // Run SIMD sumcheck with the same transcript seeding + let mut rng2 = test_rng(); + let mut transcript2 = SanityTranscript::new(&mut rng2); + let simd_result = simd_multilinear_sumcheck::(&evaluations, &mut transcript2); + + // Prover messages must match exactly + assert_eq!( + generic_result.prover_messages.len(), + simd_result.prover_messages.len() + ); + for (i, (g, s)) in generic_result + .prover_messages + .iter() + .zip(simd_result.prover_messages.iter()) + .enumerate() + { + assert_eq!(g.0, s.0, "s0 mismatch at round {}", i); + assert_eq!(g.1, s.1, "s1 mismatch at round {}", i); + } + + // Verifier challenges must match exactly + assert_eq!( + generic_result.verifier_messages, + simd_result.verifier_messages + ); + } } diff --git a/src/simd_fields/goldilocks/bridge.rs b/src/simd_fields/goldilocks/bridge.rs new file mode 100644 index 00000000..68be01b3 --- /dev/null +++ b/src/simd_fields/goldilocks/bridge.rs @@ -0,0 +1,89 @@ +//! `SimdAccelerated` implementation for Goldilocks (`F64`). +//! +//! Bridges the arkworks `Fp64>` type to the +//! [`GoldilocksSIMD`] backend by converting between Montgomery and canonical form. + +use ark_ff::PrimeField; + +use super::GoldilocksSIMD; +use crate::simd_fields::SimdAccelerated; +use crate::tests::F64; + +impl SimdAccelerated for F64 { + type Backend = GoldilocksSIMD; + + #[inline] + fn to_raw(val: F64) -> u64 { + // into_bigint() converts from Montgomery form to canonical + val.into_bigint().0[0] + } + + #[inline] + fn from_raw(val: u64) -> F64 { + F64::from_bigint(ark_ff::BigInt([val])).unwrap() + } +} + +#[cfg(test)] +mod tests { + use super::*; + use ark_ff::UniformRand; + use ark_std::test_rng; + + #[test] + fn test_roundtrip() { + let mut rng = test_rng(); + for _ in 0..10_000 { + let f = F64::rand(&mut rng); + let raw = ::to_raw(f); + let back = ::from_raw(raw); + assert_eq!(f, back); + } + } + + #[test] + fn test_slice_roundtrip() { + let mut rng = test_rng(); + let n = 1024; + let original: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let raw = ::slice_to_raw(&original); + let recovered = ::slice_from_raw(&raw); + assert_eq!(original, recovered); + } + + #[test] + fn test_arithmetic_in_raw_domain() { + use crate::simd_fields::goldilocks::GoldilocksSIMD; + use crate::simd_fields::SimdBaseField; + + let mut rng = test_rng(); + for _ in 0..10_000 { + let a = F64::rand(&mut rng); + let b = F64::rand(&mut rng); + + // Add + let ff_sum = a + b; + let raw_sum = GoldilocksSIMD::scalar_add( + ::to_raw(a), + ::to_raw(b), + ); + assert_eq!( + ::to_raw(ff_sum), + raw_sum, + "add mismatch" + ); + + // Mul + let ff_prod = a * b; + let raw_prod = GoldilocksSIMD::scalar_mul( + ::to_raw(a), + ::to_raw(b), + ); + assert_eq!( + ::to_raw(ff_prod), + raw_prod, + "mul mismatch" + ); + } + } +} diff --git a/src/simd_fields/goldilocks/mod.rs b/src/simd_fields/goldilocks/mod.rs new file mode 100644 index 00000000..36153302 --- /dev/null +++ b/src/simd_fields/goldilocks/mod.rs @@ -0,0 +1,9 @@ +//! Goldilocks field (p = 2^64 - 2^32 + 1) SIMD backends. + +#[cfg(target_arch = "aarch64")] +pub mod neon; + +pub mod bridge; + +#[cfg(target_arch = "aarch64")] +pub use neon::GoldilocksNeon as GoldilocksSIMD; diff --git a/src/simd_fields/goldilocks/neon.rs b/src/simd_fields/goldilocks/neon.rs new file mode 100644 index 00000000..b325a6c2 --- /dev/null +++ b/src/simd_fields/goldilocks/neon.rs @@ -0,0 +1,506 @@ +//! Goldilocks NEON backend: packed `uint64x2_t` (2 lanes of u64). +//! +//! Goldilocks modulus: P = 2^64 - 2^32 + 1 = 0xFFFF_FFFF_0000_0001 +//! +//! Key property: 2^64 ≡ 2^32 - 1 (mod P), so reduction of a 128-bit +//! product `(hi, lo)` is: `lo + hi * (2^32 - 1)`, with at most two +//! conditional subtractions. + +use core::arch::aarch64::*; + +use super::super::SimdBaseField; + +/// Goldilocks field p = 2^64 - 2^32 + 1 +const P: u64 = 0xFFFF_FFFF_0000_0001; + +/// ε = 2^32 - 1 = 0xFFFF_FFFF, used in reduction: 2^64 ≡ ε (mod P)... wait, +/// actually 2^64 = P + 2^32 - 1, so 2^64 ≡ 2^32 - 1 ≡ ε (mod P). Yes. +const EPSILON: u64 = 0xFFFF_FFFF; + +#[derive(Copy, Clone)] +pub struct GoldilocksNeon; + +impl SimdBaseField for GoldilocksNeon { + type Scalar = u64; + type Packed = uint64x2_t; + const LANES: usize = 2; + const MODULUS: u64 = P; + const ZERO: u64 = 0; + const ONE: u64 = 1; + + #[inline(always)] + fn splat(val: u64) -> uint64x2_t { + unsafe { vdupq_n_u64(val) } + } + + #[inline(always)] + unsafe fn load(ptr: *const u64) -> uint64x2_t { + unsafe { vld1q_u64(ptr) } + } + + #[inline(always)] + unsafe fn store(ptr: *mut u64, v: uint64x2_t) { + unsafe { vst1q_u64(ptr, v) } + } + + #[inline(always)] + fn add(a: uint64x2_t, b: uint64x2_t) -> uint64x2_t { + // (a + b) mod P + // Since a, b < P < 2^64, the sum can overflow u64. + // Strategy: sum = a + b (wrapping). If sum < a, we overflowed. + // Overflowed: result = sum + EPSILON (since 2^64 ≡ ε mod P) + // ... but we also need sum + ε < P check + // Not overflowed: if sum >= P then sum - P, else sum + // + // Equivalent (branchless): let (sum, carry) = a.overflowing_add(b); + // if carry: result = sum + EPSILON (can't overflow again since a,b < P) + // else: if sum >= P then sum - P else sum + // + // NEON approach: use vaddq_u64 for wrapping add, then detect overflow + // via vcltq_u64(sum, a) — if sum < a, overflow occurred. + unsafe { + let sum = vaddq_u64(a, b); + let p_vec = vdupq_n_u64(P); + let eps_vec = vdupq_n_u64(EPSILON); + + // Detect overflow: sum < a means carry occurred + let carry = vcltq_u64(sum, a); + // carry is all-ones (0xFFFF...) in lanes that overflowed + + // If carry: result = sum + EPSILON (overflow path) + // If no carry and sum >= P: result = sum - P + // If no carry and sum < P: result = sum + + // Non-overflow conditional subtract + let geq_p = vcgeq_u64(sum, p_vec); + let sub_p = vsubq_u64(sum, p_vec); + + // When no carry: choose between sum and sum-P + let no_carry_result = vbslq_u64(geq_p, sub_p, sum); + + // When carry: sum + epsilon + let carry_result = vaddq_u64(sum, eps_vec); + + // Select based on carry + vbslq_u64(carry, carry_result, no_carry_result) + } + } + + #[inline(always)] + fn sub(a: uint64x2_t, b: uint64x2_t) -> uint64x2_t { + // (a - b) mod P + // If a >= b: result = a - b (may need no reduction since both < P) + // If a < b: result = a - b + P (wrapping sub, then add P) + // + // But wrapping: diff = a.wrapping_sub(b). If a < b, diff "underflowed". + // Detect: a < b via vcltq_u64(a, b). + // Underflow path: diff + P. Since a,b < P, diff+P is in range. + unsafe { + let diff = vsubq_u64(a, b); + let p_vec = vdupq_n_u64(P); + + // Detect underflow: a < b + let borrow = vcltq_u64(a, b); + + // If borrow: diff + P. Otherwise: diff. + let corrected = vaddq_u64(diff, p_vec); + vbslq_u64(borrow, corrected, diff) + } + } + + #[inline(always)] + fn mul(a: uint64x2_t, b: uint64x2_t) -> uint64x2_t { + // 64×64 → 128-bit multiply, then Goldilocks reduction. + // + // NEON doesn't have a 64×64→128 multiply instruction. + // We decompose into 32-bit pieces: + // a = a_hi * 2^32 + a_lo + // b = b_hi * 2^32 + b_lo + // a*b = a_lo*b_lo + (a_lo*b_hi + a_hi*b_lo)*2^32 + a_hi*b_hi*2^64 + // + // Since 2^64 ≡ ε (mod P) and 2^32 ≡ 2^32 (mod P, since 2^32 < P): + // a*b ≡ a_lo*b_lo + (a_lo*b_hi + a_hi*b_lo)*2^32 + a_hi*b_hi*ε (mod P) + // + // But we need to be careful with carries. It's simpler and more robust + // to compute the full 128-bit product and then reduce. + // + // We process each lane separately since NEON can't do 64×64→128 in one go. + unsafe { + // Extract lanes, multiply, reduce, repack + let a0 = vgetq_lane_u64(a, 0); + let a1 = vgetq_lane_u64(a, 1); + let b0 = vgetq_lane_u64(b, 0); + let b1 = vgetq_lane_u64(b, 1); + + let r0 = goldilocks_mul_scalar(a0, b0); + let r1 = goldilocks_mul_scalar(a1, b1); + + vcombine_u64(vcreate_u64(r0), vcreate_u64(r1)) + } + } + + #[inline(always)] + fn scalar_add(a: u64, b: u64) -> u64 { + let (sum, carry) = a.overflowing_add(b); + if carry { + // 2^64 ≡ ε (mod P) + sum + EPSILON // can't overflow again since a, b < P + } else if sum >= P { + sum - P + } else { + sum + } + } + + #[inline(always)] + fn scalar_sub(a: u64, b: u64) -> u64 { + if a >= b { + a - b + } else { + a.wrapping_sub(b).wrapping_add(P) + } + } + + #[inline(always)] + fn scalar_mul(a: u64, b: u64) -> u64 { + goldilocks_mul_scalar(a, b) + } +} + +/// Full 64×64 → 128-bit multiply with Goldilocks reduction. +/// +/// Computes `(a * b) mod P` where P = 2^64 - 2^32 + 1. +/// +/// Uses the identity: if a*b = hi * 2^64 + lo, then +/// a*b ≡ lo + hi * ε (mod P) where ε = 2^32 - 1 +/// +/// Since hi < 2^64 and ε < 2^32, the product hi * ε < 2^96, +/// so we need to handle the intermediate result carefully. +#[inline(always)] +fn goldilocks_mul_scalar(a: u64, b: u64) -> u64 { + let full = (a as u128) * (b as u128); + let lo = full as u64; + let hi = (full >> 64) as u64; + goldilocks_reduce(lo, hi) +} + +/// Reduce a 128-bit value `(lo + hi * 2^64)` modulo P = 2^64 - 2^32 + 1. +/// +/// Using 2^64 ≡ ε (mod P) where ε = 2^32 - 1: +/// result ≡ lo + hi * ε (mod P) +/// +/// We compute hi * ε = hi * (2^32 - 1) = (hi << 32) - hi, +/// carefully handling the intermediate 96-bit value. +#[inline(always)] +fn goldilocks_reduce(lo: u64, hi: u64) -> u64 { + // hi * ε = hi * 2^32 - hi + // Split: hi_hi = hi >> 32, hi_lo = hi & 0xFFFF_FFFF + // hi * 2^32 = hi_lo * 2^32 + hi_hi * 2^64 + // ≡ hi_lo * 2^32 + hi_hi * ε (mod P) + // ... this recurses. Better: direct computation. + // + // Let's compute step by step: + // hi * ε where ε = 2^32 - 1 + // = (hi << 32) - hi + // + // (hi << 32) can produce a 96-bit value. Let: + // hi_hi = hi >> 32 + // hi_lo = hi & 0xFFFF_FFFF + // + // hi << 32 = hi_lo << 32 | 0 (low 64 bits) + hi_hi (carry into 2^64) + // + // So: hi * 2^32 = (hi_lo << 32) + hi_hi * 2^64 + // hi * ε = (hi_lo << 32) + hi_hi * 2^64 - hi + // ≡ (hi_lo << 32) + hi_hi * ε - hi (mod P) + // + // Since hi_hi < 2^32 and ε < 2^32, hi_hi * ε < 2^64, fits in u64. + // + // Total: lo + (hi_lo << 32) + hi_hi * ε - hi (mod P) + // + // This can still overflow, so we need careful addition. + + let hi_hi = hi >> 32; + let hi_lo = hi & 0xFFFF_FFFF; + + // term1 = hi_lo << 32 (fits in u64, since hi_lo < 2^32) + let term1 = hi_lo << 32; + + // term2 = hi_hi * EPSILON (fits in u64, since hi_hi < 2^32, EPSILON < 2^32) + let term2 = hi_hi * EPSILON; + + // result = lo + term1 + term2 - hi (mod P) + // Do additions first, then subtraction, with overflow handling. + + // lo + term1 + let (s1, c1) = lo.overflowing_add(term1); + // s1 + term2 + let (s2, c2) = s1.overflowing_add(term2); + // Total carry count (0, 1, or 2). Each carry means +ε in the final result. + let carry = (c1 as u64) + (c2 as u64); + + // s2 + carry * EPSILON - hi + // First: s2 + carry * EPSILON + let (s3, c3) = s2.overflowing_add(carry * EPSILON); + let carry2 = c3 as u64; + + // Now subtract hi + let (s4, borrow) = s3.overflowing_sub(hi); + let borrow_val = borrow as u64; + + // Net adjustment: carry2 * EPSILON - borrow_val * P + // But since carry2 ∈ {0,1} and borrow ∈ {0,1}, let's handle: + // result = s4 + carry2 * EPSILON (from overflow in s3) + // + borrow_val * P (to compensate underflow in s4) + // Wait: if borrow, the true value is s4 + 2^64 - hi_val = s4 + ε (mod P). + // No: s3 - hi. If borrow, true value = s3 - hi + 2^64 ≡ s4 + ε + 1 (mod P)? + // 2^64 mod P = ε + 1? No. 2^64 = P + 2^32 - 1 = P + ε, so 2^64 ≡ ε (mod P). + // Hmm, P = 2^64 - 2^32 + 1, so 2^64 = P + 2^32 - 1 = P + ε. + // So 2^64 ≡ ε ≡ EPSILON (mod P). ← Wait that's wrong. + // P = 2^64 - ε - 1? Let me recheck. P = 2^64 - 2^32 + 1. + // 2^64 = P + 2^32 - 1 = P + EPSILON. + // So 2^64 mod P = EPSILON. + // No wait: EPSILON = 2^32 - 1 = 0xFFFF_FFFF. + // P = 2^64 - 2^32 + 1 = 2^64 - EPSILON - 1. + // Hmm, 2^64 = P + EPSILON + 1? Let me just compute: + // 2^64 - P = 2^64 - (2^64 - 2^32 + 1) = 2^32 - 1 = EPSILON. + // So 2^64 ≡ EPSILON (mod P)? No: + // 2^64 = 1 * P + EPSILON. So 2^64 mod P = EPSILON. ← Wait: + // P = 18446744069414584321 + // 2^64 = 18446744073709551616 + // 2^64 - P = 18446744073709551616 - 18446744069414584321 = 4294967295 = 0xFFFF_FFFF = EPSILON + // Yes! 2^64 mod P = EPSILON. + + // So if s3 overflowed (carry2=1), add EPSILON. + // If subtraction borrowed (borrow_val=1), we need s4 + 2^64 (mod P) => s4 + EPSILON. + // Wait, that's not right either. Borrow means the true mathematical result is + // s3 - hi + 2^64. mod P, that's s4 + EPSILON. + // + // But the carry2 case: s2 + carry*ε overflowed, so the true value is + // s3 + 2^64. mod P, that's s3 + EPSILON. + // We already set s3 = the overflow result, and carry2 flags the overflow. + // + // Net: s4 + carry2 * EPSILON + borrow_val * EPSILON + // = s4 + (carry2 + borrow_val) * EPSILON + // + // Hmm, but borrow means we subtracted too much, so we should ADD back, not add EPSILON. + // Let me re-derive: + // After carry step: true value = s3 + carry2 * 2^64 ≡ s3 + carry2 * EPSILON (mod P) + // After sub step: true value = (s3 + carry2*2^64) - hi + // = s4 + borrow * 2^64 + carry2 * 2^64 + // Wait no. Let me be more careful. + // + // Let V = s2 + carry * EPSILON (mathematical, could be > 2^64) + // s3 = V mod 2^64, carry2 = V >= 2^64 + // So V = s3 + carry2 * 2^64 + // + // Let W = V - hi = s3 + carry2 * 2^64 - hi + // s4 = s3.wrapping_sub(hi), borrow = s3 < hi + // s4 = s3 - hi + borrow * 2^64 + // So s3 - hi = s4 - borrow * 2^64 + // W = s4 - borrow * 2^64 + carry2 * 2^64 + // = s4 + (carry2 - borrow) * 2^64 + // ≡ s4 + (carry2 - borrow) * EPSILON (mod P) + // + // carry2 - borrow ∈ {-1, 0, 1} + // If +1: add EPSILON + // If 0: done + // If -1: subtract EPSILON (equivalently, add P - EPSILON = 2^64 - 2*EPSILON) + // ... but simpler: add P (since subtracting EPSILON when result could underflow) + + let adj = (carry2 as i64) - (borrow_val as i64); + if adj > 0 { + let (r, overflow) = s4.overflowing_add(EPSILON); + if overflow || r >= P { + r.wrapping_sub(P) + } else { + r + } + } else if adj < 0 { + // s4 - EPSILON; if underflow, add P + if s4 >= EPSILON { + let r = s4 - EPSILON; + if r >= P { + r - P + } else { + r + } + } else { + // s4 - EPSILON + P = s4 + (P - EPSILON) = s4 + 2^64 - 2*EPSILON + // P - EPSILON = 2^64 - 2^32 + 1 - (2^32 - 1) = 2^64 - 2^33 + 2 + // That doesn't look right for a simple formula. Let's just do: + s4.wrapping_sub(EPSILON).wrapping_add(P) + } + } else { + // adj == 0 + if s4 >= P { + s4 - P + } else { + s4 + } + } +} + +#[cfg(test)] +mod tests { + use super::*; + use ark_ff::UniformRand; + use ark_std::test_rng; + + // Use the existing Goldilocks (F64) field from the test module for reference + use crate::tests::F64; + + /// Convert an arkworks F64 element to its raw u64 representative in [0, P). + fn to_raw(f: F64) -> u64 { + use ark_ff::PrimeField; + // BigInt -> u64 + let big = f.into_bigint(); + big.0[0] + } + + #[test] + fn test_scalar_add() { + let mut rng = test_rng(); + for _ in 0..10_000 { + let a = F64::rand(&mut rng); + let b = F64::rand(&mut rng); + let expected = to_raw(a + b); + let received = GoldilocksNeon::scalar_add(to_raw(a), to_raw(b)); + assert_eq!( + expected, + received, + "add failed for a={}, b={}", + to_raw(a), + to_raw(b) + ); + } + } + + #[test] + fn test_scalar_sub() { + let mut rng = test_rng(); + for _ in 0..10_000 { + let a = F64::rand(&mut rng); + let b = F64::rand(&mut rng); + let expected = to_raw(a - b); + let received = GoldilocksNeon::scalar_sub(to_raw(a), to_raw(b)); + assert_eq!( + expected, + received, + "sub failed for a={}, b={}", + to_raw(a), + to_raw(b) + ); + } + } + + #[test] + fn test_scalar_mul() { + let mut rng = test_rng(); + for _ in 0..10_000 { + let a = F64::rand(&mut rng); + let b = F64::rand(&mut rng); + let expected = to_raw(a * b); + let received = GoldilocksNeon::scalar_mul(to_raw(a), to_raw(b)); + assert_eq!( + expected, + received, + "mul failed for a={}, b={}", + to_raw(a), + to_raw(b) + ); + } + } + + #[test] + fn test_neon_add() { + let mut rng = test_rng(); + for _ in 0..5_000 { + let a0 = F64::rand(&mut rng); + let a1 = F64::rand(&mut rng); + let b0 = F64::rand(&mut rng); + let b1 = F64::rand(&mut rng); + + let a_raw = [to_raw(a0), to_raw(a1)]; + let b_raw = [to_raw(b0), to_raw(b1)]; + + let a_v = unsafe { GoldilocksNeon::load(a_raw.as_ptr()) }; + let b_v = unsafe { GoldilocksNeon::load(b_raw.as_ptr()) }; + let r_v = GoldilocksNeon::add(a_v, b_v); + + let mut result = [0u64; 2]; + unsafe { GoldilocksNeon::store(result.as_mut_ptr(), r_v) }; + + assert_eq!(result[0], to_raw(a0 + b0)); + assert_eq!(result[1], to_raw(a1 + b1)); + } + } + + #[test] + fn test_neon_sub() { + let mut rng = test_rng(); + for _ in 0..5_000 { + let a0 = F64::rand(&mut rng); + let a1 = F64::rand(&mut rng); + let b0 = F64::rand(&mut rng); + let b1 = F64::rand(&mut rng); + + let a_raw = [to_raw(a0), to_raw(a1)]; + let b_raw = [to_raw(b0), to_raw(b1)]; + + let a_v = unsafe { GoldilocksNeon::load(a_raw.as_ptr()) }; + let b_v = unsafe { GoldilocksNeon::load(b_raw.as_ptr()) }; + let r_v = GoldilocksNeon::sub(a_v, b_v); + + let mut result = [0u64; 2]; + unsafe { GoldilocksNeon::store(result.as_mut_ptr(), r_v) }; + + assert_eq!(result[0], to_raw(a0 - b0)); + assert_eq!(result[1], to_raw(a1 - b1)); + } + } + + #[test] + fn test_neon_mul() { + let mut rng = test_rng(); + for _ in 0..5_000 { + let a0 = F64::rand(&mut rng); + let a1 = F64::rand(&mut rng); + let b0 = F64::rand(&mut rng); + let b1 = F64::rand(&mut rng); + + let a_raw = [to_raw(a0), to_raw(a1)]; + let b_raw = [to_raw(b0), to_raw(b1)]; + + let a_v = unsafe { GoldilocksNeon::load(a_raw.as_ptr()) }; + let b_v = unsafe { GoldilocksNeon::load(b_raw.as_ptr()) }; + let r_v = GoldilocksNeon::mul(a_v, b_v); + + let mut result = [0u64; 2]; + unsafe { GoldilocksNeon::store(result.as_mut_ptr(), r_v) }; + + assert_eq!(result[0], to_raw(a0 * b0)); + assert_eq!(result[1], to_raw(a1 * b1)); + } + } + + #[test] + fn test_edge_cases() { + // Test with boundary values + let zero = 0u64; + let one = 1u64; + let p_minus_1 = P - 1; + + // 0 + 0 = 0 + assert_eq!(GoldilocksNeon::scalar_add(zero, zero), zero); + // 0 * anything = 0 + assert_eq!(GoldilocksNeon::scalar_mul(zero, p_minus_1), zero); + // 1 * x = x + assert_eq!(GoldilocksNeon::scalar_mul(one, p_minus_1), p_minus_1); + // (P-1) + 1 = 0 + assert_eq!(GoldilocksNeon::scalar_add(p_minus_1, one), zero); + // 0 - 1 = P - 1 + assert_eq!(GoldilocksNeon::scalar_sub(zero, one), p_minus_1); + // (P-1) * (P-1) = 1 + assert_eq!(GoldilocksNeon::scalar_mul(p_minus_1, p_minus_1), one); + } +} diff --git a/src/simd_fields/mod.rs b/src/simd_fields/mod.rs new file mode 100644 index 00000000..1a259086 --- /dev/null +++ b/src/simd_fields/mod.rs @@ -0,0 +1,104 @@ +//! SIMD-vectorized field arithmetic using native intrinsics. +//! +//! Each base field provides platform-specific implementations of add, sub, mul +//! operating on packed SIMD vectors. + +pub mod goldilocks; + +/// Platform-agnostic packed field operations. +/// +/// Each ISA backend (NEON, AVX2, AVX-512) provides its own implementation +/// with the appropriate packed vector type. +/// +/// # Safety +/// +/// All values stored in `Packed` vectors must be valid field elements +/// (i.e., in `0..P`). The arithmetic functions maintain this invariant +/// when given valid inputs. +pub trait SimdBaseField: Copy + Send + Sync + Sized + 'static { + /// Scalar representation (u32 for 31-bit fields, u64 for Goldilocks). + type Scalar: Copy + Send + Sync + Default + PartialEq + core::fmt::Debug + 'static; + + /// The packed SIMD vector type (e.g., `uint64x2_t`, `__m256i`). + type Packed: Copy; + + /// Number of scalar lanes in one `Packed` vector. + const LANES: usize; + + /// The field modulus as a scalar. + const MODULUS: Self::Scalar; + + /// Zero element. + const ZERO: Self::Scalar; + + /// One element. + const ONE: Self::Scalar; + + /// Broadcast a scalar to all lanes. + fn splat(val: Self::Scalar) -> Self::Packed; + + /// Load a packed vector from a pointer (must be aligned to `Packed`). + /// + /// # Safety + /// + /// `ptr` must point to at least `LANES` valid `Scalar` values. + unsafe fn load(ptr: *const Self::Scalar) -> Self::Packed; + + /// Store a packed vector to a pointer. + /// + /// # Safety + /// + /// `ptr` must point to writable memory for at least `LANES` `Scalar` values. + unsafe fn store(ptr: *mut Self::Scalar, v: Self::Packed); + + /// Packed modular addition: `(a + b) mod P`. + fn add(a: Self::Packed, b: Self::Packed) -> Self::Packed; + + /// Packed modular subtraction: `(a - b) mod P`. + fn sub(a: Self::Packed, b: Self::Packed) -> Self::Packed; + + /// Packed modular multiplication: `(a * b) mod P`. + fn mul(a: Self::Packed, b: Self::Packed) -> Self::Packed; + + /// Scalar modular addition (non-vectorized, for reductions). + fn scalar_add(a: Self::Scalar, b: Self::Scalar) -> Self::Scalar; + + /// Scalar modular subtraction (non-vectorized, for reductions). + fn scalar_sub(a: Self::Scalar, b: Self::Scalar) -> Self::Scalar; + + /// Scalar modular multiplication (non-vectorized, for reductions). + fn scalar_mul(a: Self::Scalar, b: Self::Scalar) -> Self::Scalar; +} + +/// Bridge trait: connects an arkworks `Field` type to its SIMD backend. +/// +/// Implement this for any arkworks field type (e.g., `Fp64>`) +/// to enable compile-time dispatch to the SIMD sumcheck path. +/// +/// The conversion functions handle the representation difference +/// (e.g., Montgomery form → canonical) at the sumcheck boundary. +/// This is an O(n) one-time cost that's amortized over the O(n log n) sumcheck. +pub trait SimdAccelerated: ark_ff::Field + Sized { + /// The SIMD backend for this field. + type Backend: SimdBaseField; + + /// Convert from arkworks field element to raw scalar. + fn to_raw(val: Self) -> ::Scalar; + + /// Convert from raw scalar to arkworks field element. + fn from_raw(val: ::Scalar) -> Self; + + /// Bulk convert a slice of arkworks elements to raw scalars. + /// + /// Default implementation calls `to_raw` element-wise. + /// Override for zero-cost `transmute` when the representations match + /// (e.g., `SmallFp` backends where internal repr IS the canonical value). + fn slice_to_raw(src: &[Self]) -> Vec<::Scalar> { + src.iter().map(|x| Self::to_raw(*x)).collect() + } + + /// Bulk convert raw scalars back to arkworks elements. + fn slice_from_raw(src: &[::Scalar]) -> Vec { + src.iter().map(|x| Self::from_raw(*x)).collect() + } +} diff --git a/src/simd_sumcheck/evaluate.rs b/src/simd_sumcheck/evaluate.rs new file mode 100644 index 00000000..c281da92 --- /dev/null +++ b/src/simd_sumcheck/evaluate.rs @@ -0,0 +1,258 @@ +//! SIMD-vectorized pairwise evaluation: computes (sum_even, sum_odd). +//! +//! Uses a 4-accumulator unroll for instruction-level parallelism. + +use crate::simd_fields::SimdBaseField; + +/// SIMD-vectorized pairwise evaluate. +/// +/// Given `src` = `[f(0), f(1), f(2), f(3), ...]`, computes: +/// sum_even = f(0) + f(2) + f(4) + ... +/// sum_odd = f(1) + f(3) + f(5) + ... +/// +/// Returns `(sum_even, sum_odd)`. +/// +/// # Panics +/// +/// Panics if `src.len()` is not a multiple of `8 * F::LANES` (the unroll factor). +/// In production, the caller should pad to this alignment. +pub fn evaluate(src: &[F::Scalar]) -> (F::Scalar, F::Scalar) { + let lanes = F::LANES; + // Interleaved layout: even indices go to even_acc, odd indices to odd_acc. + // With LANES=2 (Goldilocks NEON), a single load of 2 elements gives + // one even and one odd. But the pairwise layout puts elements contiguously, + // so we need to load 2*LANES elements and split even/odd. + // + // Instead, we use the simpler approach: load LANES-wide vectors and + // accumulate. The first load is "even", the second is "odd", repeating. + // + // With 4-way unroll: we process 4*LANES scalars per iteration. + // Each iteration: 4 loads, 4 adds. + + let step = 4 * lanes; + assert!( + src.len() % step == 0 || src.is_empty(), + "src.len() ({}) must be a multiple of {} (4 * LANES)", + src.len(), + step + ); + + let zero = F::splat(F::ZERO); + let mut acc0 = zero; + let mut acc1 = zero; + let mut acc2 = zero; + let mut acc3 = zero; + + let ptr = src.as_ptr(); + let mut i = 0; + + while i < src.len() { + unsafe { + acc0 = F::add(acc0, F::load(ptr.add(i))); + acc1 = F::add(acc1, F::load(ptr.add(i + lanes))); + acc2 = F::add(acc2, F::load(ptr.add(i + 2 * lanes))); + acc3 = F::add(acc3, F::load(ptr.add(i + 3 * lanes))); + } + i += step; + } + + // Combine accumulators: acc0, acc2 are "even groups", acc1, acc3 are "odd groups". + // Wait — that's not right. The layout is contiguous: + // [0..LANES) [LANES..2*LANES) [2*LANES..3*LANES) [3*LANES..4*LANES) + // + // With pairwise storage [f(0), f(1), f(2), f(3), ...], and LANES=2: + // acc0 = [f(0)+f(4)+..., f(1)+f(5)+...] + // acc1 = [f(2)+f(6)+..., f(3)+f(7)+...] + // etc. + // + // So all accumulators mix even and odd. We need to reduce them lane-by-lane. + // Combine: total = acc0 + acc1 + acc2 + acc3 (element-wise) + let total = F::add(F::add(acc0, acc1), F::add(acc2, acc3)); + + // Now `total` has LANES values. For pairwise semantics with the interleaved + // storage [f(0), f(1), f(2), f(3), ...], each pair of adjacent elements + // contributes: + // lane 0: sum of f(0), f(2), f(4), ... (even-indexed in each LANES-group) + // lane 1: sum of f(1), f(3), f(5), ... (odd-indexed in each LANES-group) + // + // Hmm, this only works cleanly if LANES=2. For LANES>2 (AVX), we need + // a different decomposition. Let me think about this more carefully. + // + // Actually, the pairwise evaluation sums even-indexed and odd-indexed elements + // from the ORIGINAL array. With LANES=2: + // Load [f(0), f(1)] → lane 0 is even, lane 1 is odd + // Load [f(2), f(3)] → lane 0 is even, lane 1 is odd + // + // So after accumulating, total[0] = sum of all even-indexed, total[1] = sum of all odd-indexed. + // This is exactly what we want! + // + // For LANES=4 (AVX2 with u64): + // Load [f(0), f(1), f(2), f(3)] → lanes 0,2 are even, lanes 1,3 are odd + // + // So for general LANES: even lanes (0, 2, 4, ...) sum to even_total, + // odd lanes (1, 3, 5, ...) sum to odd_total. + + // Extract lanes and sum them appropriately. + // Store total to a temporary array, then sum even/odd lanes scalar-wise. + let mut lanes_buf: Vec = vec![F::ZERO; F::LANES]; + unsafe { F::store(lanes_buf.as_mut_ptr(), total) }; + + let mut even_sum = F::ZERO; + let mut odd_sum = F::ZERO; + for j in 0..F::LANES { + if j % 2 == 0 { + even_sum = F::scalar_add(even_sum, lanes_buf[j]); + } else { + odd_sum = F::scalar_add(odd_sum, lanes_buf[j]); + } + } + + (even_sum, odd_sum) +} + +/// Parallel SIMD evaluate with chunking for large arrays. +/// +/// Splits `src` into chunks, evaluates each in parallel (when the `parallel` +/// feature is enabled), then combines. +#[cfg(feature = "parallel")] +pub fn evaluate_parallel(src: &[F::Scalar]) -> (F::Scalar, F::Scalar) { + use rayon::prelude::*; + + let chunk_size = 32_768; // number of scalars per chunk + let lanes = F::LANES; + let step = 4 * lanes; + + // Round chunk size up to multiple of step + let chunk_size = ((chunk_size + step - 1) / step) * step; + + // For small inputs, use the aligned+tail scalar approach directly + if src.len() <= chunk_size { + let aligned_len = (src.len() / step) * step; + let (mut even, mut odd) = if aligned_len > 0 { + evaluate::(&src[..aligned_len]) + } else { + (F::ZERO, F::ZERO) + }; + for i in aligned_len..src.len() { + if i % 2 == 0 { + even = F::scalar_add(even, src[i]); + } else { + odd = F::scalar_add(odd, src[i]); + } + } + return (even, odd); + } + + src.par_chunks(chunk_size) + .map(|chunk| { + // Handle last chunk that may not be aligned + let aligned_len = (chunk.len() / step) * step; + if aligned_len == 0 { + // Scalar fallback for tiny remainder + let mut even = F::ZERO; + let mut odd = F::ZERO; + for i in 0..chunk.len() { + if i % 2 == 0 { + even = F::scalar_add(even, chunk[i]); + } else { + odd = F::scalar_add(odd, chunk[i]); + } + } + (even, odd) + } else { + let (e, o) = evaluate::(&chunk[..aligned_len]); + // Handle remainder scalarly + let mut even = e; + let mut odd = o; + for i in aligned_len..chunk.len() { + if i % 2 == 0 { + even = F::scalar_add(even, chunk[i]); + } else { + odd = F::scalar_add(odd, chunk[i]); + } + } + (even, odd) + } + }) + .reduce( + || (F::ZERO, F::ZERO), + |(e1, o1), (e2, o2)| (F::scalar_add(e1, e2), F::scalar_add(o1, o2)), + ) +} + +/// Non-parallel version of evaluate that handles arbitrary lengths. +#[cfg(not(feature = "parallel"))] +pub fn evaluate_parallel(src: &[F::Scalar]) -> (F::Scalar, F::Scalar) { + let lanes = F::LANES; + let step = 4 * lanes; + let aligned_len = (src.len() / step) * step; + + let (mut even, mut odd) = if aligned_len > 0 { + evaluate::(&src[..aligned_len]) + } else { + (F::ZERO, F::ZERO) + }; + + for i in aligned_len..src.len() { + if i % 2 == 0 { + even = F::scalar_add(even, src[i]); + } else { + odd = F::scalar_add(odd, src[i]); + } + } + + (even, odd) +} + +#[cfg(test)] +mod tests { + use super::*; + use crate::simd_fields::goldilocks::neon::GoldilocksNeon; + use crate::tests::F64; + use ark_ff::{PrimeField, UniformRand}; + use ark_std::test_rng; + + fn to_raw(f: F64) -> u64 { + f.into_bigint().0[0] + } + + #[test] + fn test_evaluate_matches_pairwise() { + use crate::multilinear::reductions::pairwise; + + let mut rng = test_rng(); + // Length must be multiple of 4*LANES = 8 for non-parallel evaluate + let n = 1 << 16; // 65536 + let evals_ff: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let evals_raw: Vec = evals_ff.iter().map(|f| to_raw(*f)).collect(); + + // Reference: arkworks pairwise evaluate + let (expected_even, expected_odd) = pairwise::evaluate(&evals_ff); + + // SIMD evaluate + let (simd_even, simd_odd) = evaluate::(&evals_raw); + + assert_eq!(to_raw(expected_even), simd_even, "even sum mismatch"); + assert_eq!(to_raw(expected_odd), simd_odd, "odd sum mismatch"); + } + + #[test] + fn test_evaluate_parallel_matches_pairwise() { + use crate::multilinear::reductions::pairwise; + + let mut rng = test_rng(); + let n = 1 << 20; // ~1M elements, enough to trigger parallel chunks + let evals_ff: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let evals_raw: Vec = evals_ff.iter().map(|f| to_raw(*f)).collect(); + + let (expected_even, expected_odd) = pairwise::evaluate(&evals_ff); + let (simd_even, simd_odd) = evaluate_parallel::(&evals_raw); + + assert_eq!( + to_raw(expected_even), + simd_even, + "parallel even sum mismatch" + ); + assert_eq!(to_raw(expected_odd), simd_odd, "parallel odd sum mismatch"); + } +} diff --git a/src/simd_sumcheck/mod.rs b/src/simd_sumcheck/mod.rs new file mode 100644 index 00000000..1ce715a6 --- /dev/null +++ b/src/simd_sumcheck/mod.rs @@ -0,0 +1,7 @@ +//! SIMD-vectorized sumcheck algorithm layer. +//! +//! Generic over [`SimdBaseField`](super::simd_fields::SimdBaseField). + +pub mod evaluate; +pub mod prove; +pub mod reduce; diff --git a/src/simd_sumcheck/prove.rs b/src/simd_sumcheck/prove.rs new file mode 100644 index 00000000..7a0714c4 --- /dev/null +++ b/src/simd_sumcheck/prove.rs @@ -0,0 +1,147 @@ +//! SIMD-vectorized multilinear sumcheck prover (base = extension). +//! +//! This is the base=extension (EXT_DEGREE=1) sumcheck: the entire protocol +//! stays in the base field, no extension promotion or Karatsuba needed. + +use crate::simd_fields::SimdBaseField; +use crate::simd_sumcheck::evaluate::evaluate_parallel; +use crate::simd_sumcheck::reduce::reduce_parallel; + +/// Result of the SIMD multilinear sumcheck. +#[derive(Debug)] +pub struct SimdSumcheck { + /// Round messages: `(s(0), s(1))` for each round. + pub prover_messages: Vec<(S, S)>, + /// Verifier challenges, one per round (except the last). + pub verifier_messages: Vec, +} + +/// Run the SIMD multilinear sumcheck (base = extension). +/// +/// `evals` are the raw scalar evaluations of the multilinear polynomial on the +/// boolean hypercube. `challenge_fn` provides the verifier's challenge after each +/// round (e.g., from a Fiat-Shamir transcript). +/// +/// This function consumes the evaluations and runs the full sumcheck protocol, +/// returning the transcript. +pub fn prove_base_eq_ext( + evals: &[F::Scalar], + mut challenge_fn: impl FnMut(F::Scalar, F::Scalar) -> F::Scalar, +) -> SimdSumcheck { + assert!( + evals.len().count_ones() == 1 && evals.len() >= 2, + "evals length must be a power of 2 and >= 2" + ); + + let num_rounds = evals.len().trailing_zeros() as usize; + let mut prover_messages = Vec::with_capacity(num_rounds); + let mut verifier_messages = Vec::with_capacity(num_rounds); + + let mut current = evals.to_vec(); + + for round in 0..num_rounds { + // Evaluate: sum even-indexed and odd-indexed elements + let (s0, s1) = evaluate_parallel::(¤t); + prover_messages.push((s0, s1)); + + if round < num_rounds - 1 { + // Get verifier challenge + let challenge = challenge_fn(s0, s1); + verifier_messages.push(challenge); + + // Reduce + current = reduce_parallel::(¤t, challenge); + } + } + + SimdSumcheck { + prover_messages, + verifier_messages, + } +} + +#[cfg(test)] +mod tests { + use super::*; + use crate::multilinear_sumcheck; + use crate::simd_fields::goldilocks::neon::GoldilocksNeon; + use crate::tests::F64; + use crate::transcript::SanityTranscript; + use ark_ff::{PrimeField, UniformRand}; + use ark_std::test_rng; + + fn to_raw(f: F64) -> u64 { + f.into_bigint().0[0] + } + + #[test] + fn test_simd_sumcheck_matches_reference() { + let num_vars = 16; + let n = 1 << num_vars; + + let mut rng = test_rng(); + let evals_ff: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let evals_raw: Vec = evals_ff.iter().map(|f| to_raw(*f)).collect(); + + // Run the reference sumcheck + let mut ref_evals = evals_ff.clone(); + let mut ref_rng = test_rng(); + let mut ref_transcript = SanityTranscript::new(&mut ref_rng); + let ref_result = multilinear_sumcheck::(&mut ref_evals, &mut ref_transcript); + + // Run the SIMD sumcheck with the same challenges + // We need to produce the same challenges. The SanityTranscript uses + // random challenges that depend on the prover messages via write/read. + // To make this deterministic, we use the reference challenges directly. + let ref_challenges = ref_result.verifier_messages.clone(); + let mut challenge_idx = 0; + + let simd_result = prove_base_eq_ext::(&evals_raw, |_s0, _s1| { + let c = to_raw(ref_challenges[challenge_idx]); + challenge_idx += 1; + c + }); + + // Check prover messages match + assert_eq!( + ref_result.prover_messages.len(), + simd_result.prover_messages.len(), + "round count mismatch" + ); + + for (i, (ref_msg, simd_msg)) in ref_result + .prover_messages + .iter() + .zip(simd_result.prover_messages.iter()) + .enumerate() + { + assert_eq!(to_raw(ref_msg.0), simd_msg.0, "s0 mismatch at round {}", i); + assert_eq!(to_raw(ref_msg.1), simd_msg.1, "s1 mismatch at round {}", i); + } + } + + #[test] + fn test_simd_sumcheck_small() { + // Small test (4 elements = 2 rounds) + let evals_raw: Vec = vec![1, 2, 3, 4]; + // sum = 10, s0 = 1+3=4, s1 = 2+4=6 + + let simd_result = prove_base_eq_ext::( + &evals_raw, + |_s0, _s1| 7, // fixed challenge + ); + + assert_eq!(simd_result.prover_messages.len(), 2); + assert_eq!(simd_result.verifier_messages.len(), 1); + + // Round 0: s0 = 4, s1 = 6 + assert_eq!(simd_result.prover_messages[0], (4, 6)); + + // After reduce with challenge=7: for each pair (a, b): + // a + 7*(b-a) = a + 7b - 7a = 7b - 6a + // pair (1,2): 1 + 7*(2-1) = 8 + // pair (3,4): 3 + 7*(4-3) = 10 + // Round 1: s0 = 8, s1 = 10 + assert_eq!(simd_result.prover_messages[1], (8, 10)); + } +} diff --git a/src/simd_sumcheck/reduce.rs b/src/simd_sumcheck/reduce.rs new file mode 100644 index 00000000..cf182abc --- /dev/null +++ b/src/simd_sumcheck/reduce.rs @@ -0,0 +1,253 @@ +//! SIMD-vectorized pairwise reduce: folds evaluations with a challenge. +//! +//! For each adjacent pair `(a, b)`: `result = a + challenge * (b - a)` +//! +//! This is the base-field reduce used when base = extension (EXT_DEGREE = 1). + +use crate::simd_fields::SimdBaseField; + +/// SIMD-vectorized pairwise reduce (base = extension, in-place). +/// +/// For each pair `(src[2i], src[2i+1])`, computes: +/// `src[2i] + challenge * (src[2i+1] - src[2i])` +/// +/// Results are written into the first `src.len() / 2` positions. +/// Returns the number of output elements. +/// +/// This is the kernel used when EXT_DEGREE = 1 (base field IS the extension field). +pub fn reduce_in_place(src: &mut [F::Scalar], challenge: F::Scalar) -> usize { + let n = src.len() / 2; + let lanes = F::LANES; + let challenge_v = F::splat(challenge); + + // Process LANES-wide chunks: we need 2*LANES elements per iteration + // (LANES for 'a' values, LANES for 'b' values) + + let aligned = (n / lanes) * lanes; // number of output elements we can do via SIMD + + for i in (0..aligned).step_by(lanes) { + // a = src[2i..2i + 2*LANES : step 2] — but elements are contiguous pairs + // Layout: [a0, b0, a1, b1, a2, b2, a3, b3, ...] + // We need to deinterleave: load 2*LANES elements, take even/odd + + // For LANES=2: load [a0, b0, a1, b1] + // a_v = [a0, a1], b_v = [b0, b1] + + // However, with raw loads this requires deinterleaving. + // NEON has vld2q_u64 for deinterleaving loads. + // For now, use scalar indexing to load/store since the bottleneck is mul, not load: + + let src_idx = 2 * i; + let mut a_buf = vec![F::ZERO; lanes]; + let mut b_buf = vec![F::ZERO; lanes]; + + for j in 0..lanes { + a_buf[j] = src[src_idx + 2 * j]; + b_buf[j] = src[src_idx + 2 * j + 1]; + } + + unsafe { + let a_v = F::load(a_buf.as_ptr()); + let b_v = F::load(b_buf.as_ptr()); + + // b - a + let diff = F::sub(b_v, a_v); + // challenge * (b - a) + let scaled = F::mul(challenge_v, diff); + // a + challenge * (b - a) + let result = F::add(a_v, scaled); + + // Store result at position i..i+LANES + F::store(src[i..].as_mut_ptr(), result); + } + } + + // Scalar tail + for i in aligned..n { + let a = src[2 * i]; + let b = src[2 * i + 1]; + let diff = F::scalar_sub(b, a); + let scaled = F::scalar_mul(challenge, diff); + src[i] = F::scalar_add(a, scaled); + } + + n +} + +/// SIMD-vectorized pairwise reduce, producing a new Vec. +/// +/// Same semantics as `reduce_in_place`, but allocates and returns a new vector. +pub fn reduce_to_vec(src: &[F::Scalar], challenge: F::Scalar) -> Vec { + let n = src.len() / 2; + let mut out = vec![F::ZERO; n]; + + let lanes = F::LANES; + let challenge_v = F::splat(challenge); + + let aligned = (n / lanes) * lanes; + + for i in (0..aligned).step_by(lanes) { + let src_idx = 2 * i; + let mut a_buf = vec![F::ZERO; lanes]; + let mut b_buf = vec![F::ZERO; lanes]; + + for j in 0..lanes { + a_buf[j] = src[src_idx + 2 * j]; + b_buf[j] = src[src_idx + 2 * j + 1]; + } + + unsafe { + let a_v = F::load(a_buf.as_ptr()); + let b_v = F::load(b_buf.as_ptr()); + + let diff = F::sub(b_v, a_v); + let scaled = F::mul(challenge_v, diff); + let result = F::add(a_v, scaled); + + F::store(out[i..].as_mut_ptr(), result); + } + } + + // Scalar tail + for i in aligned..n { + let a = src[2 * i]; + let b = src[2 * i + 1]; + let diff = F::scalar_sub(b, a); + let scaled = F::scalar_mul(challenge, diff); + out[i] = F::scalar_add(a, scaled); + } + + out +} + +/// Parallel SIMD reduce (producing a new Vec). +#[cfg(feature = "parallel")] +pub fn reduce_parallel( + src: &[F::Scalar], + challenge: F::Scalar, +) -> Vec { + use rayon::prelude::*; + + let n = src.len() / 2; + let chunk_size = 32_768_usize; // pairs per chunk + let pair_chunk = chunk_size * 2; // scalars per chunk (each pair is 2 scalars) + + if n <= chunk_size { + return reduce_to_vec::(src, challenge); + } + + // Process in parallel chunks, then concatenate + src.par_chunks(pair_chunk) + .flat_map(|chunk| reduce_to_vec::(chunk, challenge)) + .collect() +} + +/// Non-parallel fallback. +#[cfg(not(feature = "parallel"))] +pub fn reduce_parallel( + src: &[F::Scalar], + challenge: F::Scalar, +) -> Vec { + reduce_to_vec::(src, challenge) +} + +#[cfg(test)] +mod tests { + use super::*; + use crate::simd_fields::goldilocks::neon::GoldilocksNeon; + use crate::tests::F64; + use ark_ff::{PrimeField, UniformRand}; + use ark_std::test_rng; + + fn to_raw(f: F64) -> u64 { + f.into_bigint().0[0] + } + + #[test] + fn test_reduce_matches_pairwise() { + use crate::multilinear::reductions::pairwise; + + let mut rng = test_rng(); + let n = 1 << 16; + let evals_ff: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let evals_raw: Vec = evals_ff.iter().map(|f| to_raw(*f)).collect(); + + let challenge_ff = F64::rand(&mut rng); + let challenge_raw = to_raw(challenge_ff); + + // Reference: arkworks pairwise reduce + let mut expected_ff = evals_ff.clone(); + pairwise::reduce_evaluations(&mut expected_ff, challenge_ff); + + // SIMD reduce + let received_raw = reduce_to_vec::(&evals_raw, challenge_raw); + + assert_eq!(expected_ff.len(), received_raw.len()); + for i in 0..expected_ff.len() { + assert_eq!( + to_raw(expected_ff[i]), + received_raw[i], + "mismatch at index {}", + i + ); + } + } + + #[test] + fn test_reduce_in_place_matches_pairwise() { + use crate::multilinear::reductions::pairwise; + + let mut rng = test_rng(); + let n = 1 << 16; + let evals_ff: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let mut evals_raw: Vec = evals_ff.iter().map(|f| to_raw(*f)).collect(); + + let challenge_ff = F64::rand(&mut rng); + let challenge_raw = to_raw(challenge_ff); + + // Reference + let mut expected_ff = evals_ff; + pairwise::reduce_evaluations(&mut expected_ff, challenge_ff); + + // SIMD in-place + let out_len = reduce_in_place::(&mut evals_raw, challenge_raw); + + assert_eq!(expected_ff.len(), out_len); + for i in 0..out_len { + assert_eq!( + to_raw(expected_ff[i]), + evals_raw[i], + "mismatch at index {}", + i + ); + } + } + + #[test] + fn test_reduce_parallel_matches() { + use crate::multilinear::reductions::pairwise; + + let mut rng = test_rng(); + let n = 1 << 20; + let evals_ff: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let evals_raw: Vec = evals_ff.iter().map(|f| to_raw(*f)).collect(); + + let challenge_ff = F64::rand(&mut rng); + let challenge_raw = to_raw(challenge_ff); + + let mut expected_ff = evals_ff; + pairwise::reduce_evaluations(&mut expected_ff, challenge_ff); + + let received_raw = reduce_parallel::(&evals_raw, challenge_raw); + + assert_eq!(expected_ff.len(), received_raw.len()); + for i in 0..expected_ff.len() { + assert_eq!( + to_raw(expected_ff[i]), + received_raw[i], + "mismatch at index {}", + i + ); + } + } +} From 092f2bd2b5ac34bf4508cc63abd5d58cdc7401a0 Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Thu, 26 Mar 2026 23:08:04 +0100 Subject: [PATCH 02/52] benches --- Cargo.toml | 5 + benches/simd_vs_generic.rs | 140 ++++++++++++ src/multilinear_sumcheck.rs | 147 +++++++++++-- src/simd_fields/goldilocks/bridge.rs | 72 +++++-- src/simd_fields/goldilocks/mod.rs | 9 + src/simd_fields/goldilocks/mont_neon.rs | 274 ++++++++++++++++++++++++ src/simd_sumcheck/micro_bench.rs | 125 +++++++++++ src/simd_sumcheck/mod.rs | 1 + 8 files changed, 735 insertions(+), 38 deletions(-) create mode 100644 benches/simd_vs_generic.rs create mode 100644 src/simd_fields/goldilocks/mont_neon.rs create mode 100644 src/simd_sumcheck/micro_bench.rs diff --git a/Cargo.toml b/Cargo.toml index 7f278d32..2b3bb45a 100644 --- a/Cargo.toml +++ b/Cargo.toml @@ -33,3 +33,8 @@ parallel = [ name = "provers" path = "benches/provers.rs" harness = false + +[[bench]] +name = "simd_vs_generic" +path = "benches/simd_vs_generic.rs" +harness = false diff --git a/benches/simd_vs_generic.rs b/benches/simd_vs_generic.rs new file mode 100644 index 00000000..2dd9b2e4 --- /dev/null +++ b/benches/simd_vs_generic.rs @@ -0,0 +1,140 @@ +use ark_ff::UniformRand; +use ark_std::{hint::black_box, time::Duration}; +use criterion::{ + criterion_group, criterion_main, measurement::WallTime, BenchmarkGroup, BenchmarkId, Criterion, +}; + +use efficient_sumcheck::{ + multilinear_sumcheck, + simd_fields::{goldilocks::GoldilocksSIMD, SimdBaseField}, + simd_multilinear_sumcheck, + tests::F64, + transcript::SanityTranscript, +}; + +fn get_bench_group(c: &mut Criterion) -> BenchmarkGroup<'_, WallTime> { + let mut group = c.benchmark_group("simd_vs_generic"); + group + .sample_size(10) + .warm_up_time(Duration::from_secs(2)) + .measurement_time(Duration::from_secs(5)); + group +} + +fn simd_vs_generic_sumcheck(c: &mut Criterion) { + let mut group = get_bench_group(c); + + for num_vars in [16, 20, 24] { + let n = 1usize << num_vars; + + // ── Generic multilinear_sumcheck ── + group.bench_with_input( + BenchmarkId::new("generic", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + bencher.iter_with_setup( + || { + let mut rng = ark_std::test_rng(); + let evals: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + evals + }, + |mut evals| { + let mut rng = ark_std::test_rng(); + let mut transcript = SanityTranscript::new(&mut rng); + black_box(multilinear_sumcheck::( + &mut evals, + &mut transcript, + )); + }, + ) + }, + ); + + // ── SIMD multilinear_sumcheck (with Montgomery conversion) ── + group.bench_with_input( + BenchmarkId::new("simd_with_conv", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + bencher.iter_with_setup( + || { + let mut rng = ark_std::test_rng(); + let evals: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + evals + }, + |evals| { + let mut rng = ark_std::test_rng(); + let mut transcript = SanityTranscript::new(&mut rng); + black_box(simd_multilinear_sumcheck::(&evals, &mut transcript)); + }, + ) + }, + ); + + // ── Raw SIMD (no conversion — simulates SmallFp / zero-cost transmute) ── + group.bench_with_input( + BenchmarkId::new("simd_raw", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + bencher.iter_with_setup( + || { + // Generate raw u64 values directly (as SmallFp would store them) + use ark_ff::PrimeField; + let mut rng = ark_std::test_rng(); + let evals: Vec = (0..n) + .map(|_| F64::rand(&mut rng).into_bigint().0[0]) + .collect(); + evals + }, + |evals| { + use efficient_sumcheck::simd_fields::goldilocks::GoldilocksSIMD; + use efficient_sumcheck::simd_sumcheck::prove::prove_base_eq_ext; + // Use fixed challenge function (avoids transcript overhead) + let mut challenge_idx = 0u64; + black_box(prove_base_eq_ext::(&evals, |_s0, _s1| { + challenge_idx = challenge_idx + .wrapping_mul(6364136223846793005) + .wrapping_add(1); + challenge_idx % GoldilocksSIMD::MODULUS + })); + }, + ) + }, + ); + + // ── Generic sumcheck with same fixed challenges (apples-to-apples) ── + group.bench_with_input( + BenchmarkId::new("generic_fixed_chg", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + bencher.iter_with_setup( + || { + let mut rng = ark_std::test_rng(); + let evals: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + evals + }, + |mut evals| { + use efficient_sumcheck::multilinear::reductions::pairwise; + let num_rounds = evals.len().trailing_zeros() as usize; + let mut msgs = Vec::with_capacity(num_rounds); + let mut challenge_idx = 0u64; + for _ in 0..num_rounds { + let msg = pairwise::evaluate(&evals); + msgs.push(msg); + challenge_idx = challenge_idx + .wrapping_mul(6364136223846793005) + .wrapping_add(1); + let chg = F64::from(challenge_idx % GoldilocksSIMD::MODULUS); + pairwise::reduce_evaluations(&mut evals, chg); + } + black_box(msgs); + }, + ) + }, + ); + } + + group.finish(); +} + +criterion_group!(benches, simd_vs_generic_sumcheck); +criterion_main!(benches); diff --git a/src/multilinear_sumcheck.rs b/src/multilinear_sumcheck.rs index 810200a5..ee5d3aa3 100644 --- a/src/multilinear_sumcheck.rs +++ b/src/multilinear_sumcheck.rs @@ -121,9 +121,6 @@ pub fn simd_multilinear_sumcheck( where BF: Field + SimdAccelerated, { - use crate::simd_sumcheck::evaluate::evaluate_parallel; - use crate::simd_sumcheck::reduce::reduce_parallel; - assert!( evaluations.len().count_ones() == 1, "length must be a power of 2" @@ -134,26 +131,30 @@ where let mut prover_messages: Vec<(BF, BF)> = Vec::with_capacity(num_rounds); let mut verifier_messages: Vec = Vec::with_capacity(num_rounds); - // Convert to raw scalars (one-time O(n) cost) - let mut current = BF::slice_to_raw(evaluations); + // Copy to raw scalars — zero-cost memcpy for Montgomery-form types. + let mut buf = BF::slice_to_raw(evaluations); + let mut active_len = buf.len(); for round in 0..num_rounds { - // SIMD evaluate - let (s0_raw, s1_raw) = evaluate_parallel::(¤t); - let s0 = BF::from_raw(s0_raw); - let s1 = BF::from_raw(s1_raw); + let half = active_len / 2; + + // ── Evaluate: sum even-indexed and odd-indexed elements ── + let (s0, s1) = eval_raw::(&buf[..active_len]); + + let msg_s0 = BF::from_raw(s0); + let msg_s1 = BF::from_raw(s1); - prover_messages.push((s0, s1)); - transcript.write(s0); - transcript.write(s1); + prover_messages.push((msg_s0, msg_s1)); + transcript.write(msg_s0); + transcript.write(msg_s1); let challenge = transcript.read(); verifier_messages.push(challenge); + // ── Reduce in-place ── if round < num_rounds - 1 { - // SIMD reduce - let challenge_raw = BF::to_raw(challenge); - current = reduce_parallel::(¤t, challenge_raw); + reduce_raw::(&mut buf, half, BF::to_raw(challenge)); + active_len = half; } } @@ -163,6 +164,122 @@ where } } +/// Below this element count, stay single-threaded (rayon spawn overhead dominates). +/// Above it, parallelize evaluate & reduce. 128K elements ≈ 2^17. +const PAR_THRESHOLD: usize = 1 << 17; + +/// Sum even-indexed and odd-indexed elements of a raw scalar slice. +#[inline(always)] +fn eval_raw(evals: &[F::Scalar]) -> (F::Scalar, F::Scalar) { + #[cfg(feature = "parallel")] + { + if evals.len() >= PAR_THRESHOLD { + return eval_raw_parallel::(evals); + } + } + eval_raw_seq::(evals) +} + +/// Sequential evaluate. +#[inline(always)] +fn eval_raw_seq( + evals: &[F::Scalar], +) -> (F::Scalar, F::Scalar) { + let mut s0 = F::ZERO; + let mut s1 = F::ZERO; + let mut i = 0; + while i + 1 < evals.len() { + s0 = F::scalar_add(s0, evals[i]); + s1 = F::scalar_add(s1, evals[i + 1]); + i += 2; + } + (s0, s1) +} + +/// Parallel evaluate using rayon. +#[cfg(feature = "parallel")] +fn eval_raw_parallel( + evals: &[F::Scalar], +) -> (F::Scalar, F::Scalar) { + use rayon::prelude::*; + + // Split into chunks of pairs, compute partial sums in parallel, then merge. + let chunk_pairs = 16_384; // pairs per chunk + let chunk_scalars = chunk_pairs * 2; + + let (s0, s1) = evals + .par_chunks(chunk_scalars) + .map(|chunk| eval_raw_seq::(chunk)) + .reduce( + || (F::ZERO, F::ZERO), + |(a0, a1), (b0, b1)| (F::scalar_add(a0, b0), F::scalar_add(a1, b1)), + ); + (s0, s1) +} + +/// In-place pairwise reduce: `buf[i] = buf[2i] + c * (buf[2i+1] - buf[2i])`. +#[inline(always)] +fn reduce_raw( + buf: &mut [F::Scalar], + half: usize, + c: F::Scalar, +) { + #[cfg(feature = "parallel")] + { + if half >= PAR_THRESHOLD / 2 { + reduce_raw_parallel::(buf, half, c); + return; + } + } + reduce_raw_seq::(buf, half, c); +} + +/// Sequential reduce. +#[inline(always)] +fn reduce_raw_seq( + buf: &mut [F::Scalar], + half: usize, + c: F::Scalar, +) { + for i in 0..half { + let a = buf[2 * i]; + let b = buf[2 * i + 1]; + let diff = F::scalar_sub(b, a); + let scaled = F::scalar_mul(c, diff); + buf[i] = F::scalar_add(a, scaled); + } +} + +/// Parallel reduce using rayon. +/// +/// Strategy: we can't trivially do in-place parallel reduce because of +/// aliasing (buf[i] reads from buf[2i]). Instead, we first compute +/// the reduced values into a temporary buffer in parallel, then copy back. +#[cfg(feature = "parallel")] +fn reduce_raw_parallel( + buf: &mut [F::Scalar], + half: usize, + c: F::Scalar, +) { + use rayon::prelude::*; + + // Compute reduced values in parallel from the pairs region. + let pairs = &buf[..2 * half]; + let reduced: Vec = pairs + .par_chunks(2) + .map(|pair| { + let a = pair[0]; + let b = pair[1]; + let diff = F::scalar_sub(b, a); + let scaled = F::scalar_mul(c, diff); + F::scalar_add(a, scaled) + }) + .collect(); + + // Copy back into the first `half` positions. + buf[..half].copy_from_slice(&reduced); +} + #[cfg(test)] mod tests { use super::*; diff --git a/src/simd_fields/goldilocks/bridge.rs b/src/simd_fields/goldilocks/bridge.rs index 68be01b3..4323ce8b 100644 --- a/src/simd_fields/goldilocks/bridge.rs +++ b/src/simd_fields/goldilocks/bridge.rs @@ -1,32 +1,61 @@ //! `SimdAccelerated` implementation for Goldilocks (`F64`). //! -//! Bridges the arkworks `Fp64>` type to the -//! [`GoldilocksSIMD`] backend by converting between Montgomery and canonical form. +//! Uses the Montgomery-form NEON backend (`MontGoldilocksNeon`) which operates +//! directly on arkworks' internal representation — zero-cost access, +//! no conversion needed. -use ark_ff::PrimeField; +use ark_ff::BigInt; +use core::marker::PhantomData; -use super::GoldilocksSIMD; +use super::MontGoldilocksSIMD; use crate::simd_fields::SimdAccelerated; use crate::tests::F64; impl SimdAccelerated for F64 { - type Backend = GoldilocksSIMD; + type Backend = MontGoldilocksSIMD; - #[inline] + #[inline(always)] fn to_raw(val: F64) -> u64 { - // into_bigint() converts from Montgomery form to canonical - val.into_bigint().0[0] + // F64 = Fp(BigInt([val]), PhantomData) + // .0 is the BigInt<1>, .0.0 is [u64; 1] + (val.0).0[0] } - #[inline] + #[inline(always)] fn from_raw(val: u64) -> F64 { - F64::from_bigint(ark_ff::BigInt([val])).unwrap() + // Construct Fp directly from Montgomery-form value. + // new_unchecked skips the R2 multiplication (value is already in Montgomery form). + ark_ff::Fp(BigInt([val]), PhantomData) + } + + #[inline(always)] + fn slice_to_raw(src: &[F64]) -> Vec { + // Zero-cost: F64 is repr-compatible with u64 (BigInt<1> + ZST PhantomData). + // We copy instead of transmute-in-place since the caller owns &[F64]. + // SAFETY: F64 and u64 have the same size and alignment. + let mut out = Vec::with_capacity(src.len()); + unsafe { + core::ptr::copy_nonoverlapping(src.as_ptr() as *const u64, out.as_mut_ptr(), src.len()); + out.set_len(src.len()); + } + out + } + + #[inline(always)] + fn slice_from_raw(src: &[u64]) -> Vec { + let mut out = Vec::with_capacity(src.len()); + unsafe { + core::ptr::copy_nonoverlapping(src.as_ptr() as *const F64, out.as_mut_ptr(), src.len()); + out.set_len(src.len()); + } + out } } #[cfg(test)] mod tests { use super::*; + use crate::simd_fields::SimdBaseField; use ark_ff::UniformRand; use ark_std::test_rng; @@ -52,36 +81,33 @@ mod tests { } #[test] - fn test_arithmetic_in_raw_domain() { - use crate::simd_fields::goldilocks::GoldilocksSIMD; - use crate::simd_fields::SimdBaseField; - + fn test_arithmetic_in_mont_domain() { let mut rng = test_rng(); for _ in 0..10_000 { let a = F64::rand(&mut rng); let b = F64::rand(&mut rng); // Add - let ff_sum = a + b; - let raw_sum = GoldilocksSIMD::scalar_add( + let expected_sum = a + b; + let raw_sum = MontGoldilocksSIMD::scalar_add( ::to_raw(a), ::to_raw(b), ); assert_eq!( - ::to_raw(ff_sum), - raw_sum, + ::from_raw(raw_sum), + expected_sum, "add mismatch" ); - // Mul - let ff_prod = a * b; - let raw_prod = GoldilocksSIMD::scalar_mul( + // Mul (Montgomery mul in the raw domain should match arkworks mul) + let expected_prod = a * b; + let raw_prod = MontGoldilocksSIMD::scalar_mul( ::to_raw(a), ::to_raw(b), ); assert_eq!( - ::to_raw(ff_prod), - raw_prod, + ::from_raw(raw_prod), + expected_prod, "mul mismatch" ); } diff --git a/src/simd_fields/goldilocks/mod.rs b/src/simd_fields/goldilocks/mod.rs index 36153302..cc4abe29 100644 --- a/src/simd_fields/goldilocks/mod.rs +++ b/src/simd_fields/goldilocks/mod.rs @@ -3,7 +3,16 @@ #[cfg(target_arch = "aarch64")] pub mod neon; +#[cfg(target_arch = "aarch64")] +pub mod mont_neon; + pub mod bridge; +/// Canonical-form Goldilocks backend (for SmallFp or direct representation). #[cfg(target_arch = "aarch64")] pub use neon::GoldilocksNeon as GoldilocksSIMD; + +/// Montgomery-form Goldilocks backend (for Fp64>). +/// Enables zero-cost `transmute` from arkworks field elements. +#[cfg(target_arch = "aarch64")] +pub use mont_neon::MontGoldilocksNeon as MontGoldilocksSIMD; diff --git a/src/simd_fields/goldilocks/mont_neon.rs b/src/simd_fields/goldilocks/mont_neon.rs new file mode 100644 index 00000000..4bca5e98 --- /dev/null +++ b/src/simd_fields/goldilocks/mont_neon.rs @@ -0,0 +1,274 @@ +//! Montgomery-form Goldilocks NEON backend. +//! +//! Operates directly on Montgomery-form values (as stored by arkworks `Fp64`), +//! enabling zero-cost `transmute` from `&[F64]` to `&[u64]`. +//! +//! Implements the same CIOS Montgomery reduction as arkworks' `MontBackend` +//! for `N=1`, so results are bit-identical. + +use core::arch::aarch64::*; + +use super::super::SimdBaseField; + +/// Goldilocks modulus: P = 2^64 - 2^32 + 1. +const P: u64 = 0xFFFF_FFFF_0000_0001; + +/// Montgomery constant: INV = -P^{-1} mod 2^64. +const INV: u64 = 0xFFFF_FFFE_FFFF_FFFF; + +/// ε = 2^64 mod P = 2^32 - 1 (used for add/sub overflow correction). +const EPSILON: u64 = 0xFFFF_FFFF; + +/// Montgomery ONE = R mod P = 2^64 mod P = EPSILON. +const MONT_ONE: u64 = EPSILON; + +/// Montgomery ZERO = 0 (same in both domains). +const MONT_ZERO: u64 = 0; + +#[derive(Copy, Clone)] +pub struct MontGoldilocksNeon; + +impl SimdBaseField for MontGoldilocksNeon { + type Scalar = u64; + type Packed = uint64x2_t; + const LANES: usize = 2; + const MODULUS: u64 = P; + const ZERO: u64 = MONT_ZERO; + const ONE: u64 = MONT_ONE; + + #[inline(always)] + fn splat(val: u64) -> uint64x2_t { + unsafe { vdupq_n_u64(val) } + } + + #[inline(always)] + unsafe fn load(ptr: *const u64) -> uint64x2_t { + unsafe { vld1q_u64(ptr) } + } + + #[inline(always)] + unsafe fn store(ptr: *mut u64, v: uint64x2_t) { + unsafe { vst1q_u64(ptr, v) } + } + + // Add/sub are identical in canonical and Montgomery domain. + // mont(a) + mont(b) = mont(a + b), same wrapping/reduction logic. + + #[inline(always)] + fn add(a: uint64x2_t, b: uint64x2_t) -> uint64x2_t { + unsafe { + let sum = vaddq_u64(a, b); + let p_vec = vdupq_n_u64(P); + let eps_vec = vdupq_n_u64(EPSILON); + let carry = vcltq_u64(sum, a); + let geq_p = vcgeq_u64(sum, p_vec); + let sub_p = vsubq_u64(sum, p_vec); + let no_carry_result = vbslq_u64(geq_p, sub_p, sum); + let carry_result = vaddq_u64(sum, eps_vec); + vbslq_u64(carry, carry_result, no_carry_result) + } + } + + #[inline(always)] + fn sub(a: uint64x2_t, b: uint64x2_t) -> uint64x2_t { + unsafe { + let diff = vsubq_u64(a, b); + let p_vec = vdupq_n_u64(P); + let borrow = vcltq_u64(a, b); + let corrected = vaddq_u64(diff, p_vec); + vbslq_u64(borrow, corrected, diff) + } + } + + #[inline(always)] + fn mul(a: uint64x2_t, b: uint64x2_t) -> uint64x2_t { + // Per-lane Montgomery multiplication (CIOS for N=1). + // NEON has no 64×64→128, so we extract lanes and use scalar. + unsafe { + let a0 = vgetq_lane_u64(a, 0); + let a1 = vgetq_lane_u64(a, 1); + let b0 = vgetq_lane_u64(b, 0); + let b1 = vgetq_lane_u64(b, 1); + + let r0 = mont_mul(a0, b0); + let r1 = mont_mul(a1, b1); + + vcombine_u64(vcreate_u64(r0), vcreate_u64(r1)) + } + } + + #[inline(always)] + fn scalar_add(a: u64, b: u64) -> u64 { + let (sum, carry) = a.overflowing_add(b); + if carry { + sum + EPSILON + } else if sum >= P { + sum - P + } else { + sum + } + } + + #[inline(always)] + fn scalar_sub(a: u64, b: u64) -> u64 { + if a >= b { + a - b + } else { + a.wrapping_sub(b).wrapping_add(P) + } + } + + #[inline(always)] + fn scalar_mul(a: u64, b: u64) -> u64 { + mont_mul(a, b) + } +} + +/// Montgomery multiplication for single-limb Goldilocks. +/// +/// Computes `mont_mul(a, b) = a * b * R^{-1} mod P` where R = 2^64. +/// This is the CIOS algorithm for N=1, identical to arkworks' `MontBackend`. +/// +/// full = a * b (128-bit) +/// lo = full mod 2^64 +/// hi = full >> 64 +/// k = lo * INV mod 2^64 (INV = -P^{-1} mod 2^64) +/// t = k * P (128-bit) +/// result = (full + t) >> 64 (fits in 64 bits + carry) +/// if result >= P: result -= P +#[inline(always)] +fn mont_mul(a: u64, b: u64) -> u64 { + let full = (a as u128) * (b as u128); + let lo = full as u64; + let hi = (full >> 64) as u64; + + // k = lo * INV mod 2^64 + let k = lo.wrapping_mul(INV); + + // t = k * P (128-bit) + let t = (k as u128) * (P as u128); + let t_lo = t as u64; + let t_hi = (t >> 64) as u64; + + // (full + t) >> 64 = hi + t_hi + carry_from(lo + t_lo) + let (_, carry) = lo.overflowing_add(t_lo); + let (mut result, carry2) = hi.overflowing_add(t_hi); + let (result2, carry3) = result.overflowing_add(carry as u64); + result = result2; + + // Handle carry: carry2 || carry3 can happen since Goldilocks has no spare bit + if carry2 || carry3 || result >= P { + result = result.wrapping_sub(P); + } + + result +} + +#[cfg(test)] +mod tests { + use super::*; + use crate::tests::F64; + use ark_ff::{AdditiveGroup, BigInt, Field, UniformRand}; + use ark_std::test_rng; + use core::marker::PhantomData; + + /// Get the Montgomery-form value (raw internal representation). + fn to_mont(f: F64) -> u64 { + (f.0).0[0] + } + + /// Reconstruct F64 from Montgomery-form value. + fn from_mont(val: u64) -> F64 { + ark_ff::Fp(BigInt([val]), PhantomData) + } + + #[test] + fn test_mont_mul_matches_arkworks() { + let mut rng = test_rng(); + for _ in 0..100_000 { + let a = F64::rand(&mut rng); + let b = F64::rand(&mut rng); + let expected = a * b; + let result = from_mont(mont_mul(to_mont(a), to_mont(b))); + assert_eq!( + expected, result, + "mont_mul mismatch for a={:?}, b={:?}", + a, b + ); + } + } + + #[test] + fn test_mont_add_matches_arkworks() { + let mut rng = test_rng(); + for _ in 0..100_000 { + let a = F64::rand(&mut rng); + let b = F64::rand(&mut rng); + let expected = a + b; + let result = from_mont(MontGoldilocksNeon::scalar_add(to_mont(a), to_mont(b))); + assert_eq!(expected, result); + } + } + + #[test] + fn test_mont_sub_matches_arkworks() { + let mut rng = test_rng(); + for _ in 0..100_000 { + let a = F64::rand(&mut rng); + let b = F64::rand(&mut rng); + let expected = a - b; + let result = from_mont(MontGoldilocksNeon::scalar_sub(to_mont(a), to_mont(b))); + assert_eq!(expected, result); + } + } + + #[test] + fn test_neon_mont_mul() { + let mut rng = test_rng(); + for _ in 0..10_000 { + let a0 = F64::rand(&mut rng); + let a1 = F64::rand(&mut rng); + let b0 = F64::rand(&mut rng); + let b1 = F64::rand(&mut rng); + + let a_raw = [to_mont(a0), to_mont(a1)]; + let b_raw = [to_mont(b0), to_mont(b1)]; + + let a_v = unsafe { MontGoldilocksNeon::load(a_raw.as_ptr()) }; + let b_v = unsafe { MontGoldilocksNeon::load(b_raw.as_ptr()) }; + let r_v = MontGoldilocksNeon::mul(a_v, b_v); + + let mut result = [0u64; 2]; + unsafe { MontGoldilocksNeon::store(result.as_mut_ptr(), r_v) }; + + assert_eq!(from_mont(result[0]), a0 * b0); + assert_eq!(from_mont(result[1]), a1 * b1); + } + } + + #[test] + fn test_transmute_roundtrip() { + let mut rng = test_rng(); + for _ in 0..10_000 { + let f = F64::rand(&mut rng); + let mont = to_mont(f); + let back = from_mont(mont); + assert_eq!(f, back, "transmute roundtrip failed"); + } + } + + #[test] + fn test_edge_cases() { + use ark_ff::Field; + let zero = F64::ZERO; + let one = F64::ONE; + let neg_one = -F64::ONE; + + // 0 * anything = 0 + assert_eq!(from_mont(mont_mul(to_mont(zero), to_mont(neg_one))), zero); + // 1 * x = x + assert_eq!(from_mont(mont_mul(to_mont(one), to_mont(neg_one))), neg_one); + // (-1) * (-1) = 1 + assert_eq!(from_mont(mont_mul(to_mont(neg_one), to_mont(neg_one))), one); + } +} diff --git a/src/simd_sumcheck/micro_bench.rs b/src/simd_sumcheck/micro_bench.rs new file mode 100644 index 00000000..bcf7e7f2 --- /dev/null +++ b/src/simd_sumcheck/micro_bench.rs @@ -0,0 +1,125 @@ +/// Quick micro-benchmark to isolate multiply cost vs allocation overhead. +/// +/// Run with: cargo test --release --lib micro_bench -- --nocapture + +#[cfg(test)] +mod tests { + use crate::simd_fields::goldilocks::neon::GoldilocksNeon; + use crate::simd_fields::SimdBaseField; + use crate::tests::F64; + use ark_ff::{Field, PrimeField, UniformRand}; + use ark_std::test_rng; + + #[test] + fn micro_bench_multiply() { + let n = 1 << 20; // 1M elements + let iters = 5; + + let mut rng = test_rng(); + let a_ff: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let b_ff: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let a_raw: Vec = a_ff.iter().map(|f| f.into_bigint().0[0]).collect(); + let b_raw: Vec = b_ff.iter().map(|f| f.into_bigint().0[0]).collect(); + + // Warm up + let mut sink = 0u64; + + // === Arkworks multiply === + let start = std::time::Instant::now(); + for _ in 0..iters { + for i in 0..n { + sink ^= (a_ff[i] * b_ff[i]).into_bigint().0[0]; + } + } + let arkworks_time = start.elapsed(); + println!("Arkworks mul: {:?} ({} muls)", arkworks_time, n * iters); + println!( + " per mul: {:.1}ns", + arkworks_time.as_nanos() as f64 / (n * iters) as f64 + ); + + // === Our Goldilocks scalar multiply === + let start = std::time::Instant::now(); + for _ in 0..iters { + for i in 0..n { + sink ^= GoldilocksNeon::scalar_mul(a_raw[i], b_raw[i]); + } + } + let goldilocks_time = start.elapsed(); + println!( + "Goldilocks scalar mul: {:?} ({} muls)", + goldilocks_time, + n * iters + ); + println!( + " per mul: {:.1}ns", + goldilocks_time.as_nanos() as f64 / (n * iters) as f64 + ); + + // === Montgomery Goldilocks scalar multiply === + let a_mont: Vec = a_ff.iter().map(|f| (f.0).0[0]).collect(); + let b_mont: Vec = b_ff.iter().map(|f| (f.0).0[0]).collect(); + let start = std::time::Instant::now(); + for _ in 0..iters { + for i in 0..n { + sink ^= crate::simd_fields::goldilocks::MontGoldilocksSIMD::scalar_mul( + a_mont[i], b_mont[i], + ); + } + } + let mont_time = start.elapsed(); + println!( + "Montgomery scalar mul: {:?} ({} muls)", + mont_time, + n * iters + ); + println!( + " per mul: {:.1}ns", + mont_time.as_nanos() as f64 / (n * iters) as f64 + ); + + // === Arkworks add === + let start = std::time::Instant::now(); + for _ in 0..iters { + for i in 0..n { + sink ^= (a_ff[i] + b_ff[i]).into_bigint().0[0]; + } + } + let arkworks_add_time = start.elapsed(); + println!("Arkworks add: {:?}", arkworks_add_time); + println!( + " per add: {:.1}ns", + arkworks_add_time.as_nanos() as f64 / (n * iters) as f64 + ); + + // === Our Goldilocks scalar add === + let start = std::time::Instant::now(); + for _ in 0..iters { + for i in 0..n { + sink ^= GoldilocksNeon::scalar_add(a_raw[i], b_raw[i]); + } + } + let goldilocks_add_time = start.elapsed(); + println!("Goldilocks scalar add: {:?}", goldilocks_add_time); + println!( + " per add: {:.1}ns", + goldilocks_add_time.as_nanos() as f64 / (n * iters) as f64 + ); + + // === Vec allocation test === + let start = std::time::Instant::now(); + for _ in 0..iters { + let v: Vec = vec![0u64; n]; + sink ^= v[0]; + } + let alloc_time = start.elapsed(); + println!("Vec alloc ({}): {:?}", n, alloc_time); + println!( + " per alloc: {:.1}ms", + alloc_time.as_millis() as f64 / iters as f64 + ); + + // Prevent optimization + assert_ne!(sink, u64::MAX - 1); + } +} diff --git a/src/simd_sumcheck/mod.rs b/src/simd_sumcheck/mod.rs index 1ce715a6..ffd1b344 100644 --- a/src/simd_sumcheck/mod.rs +++ b/src/simd_sumcheck/mod.rs @@ -3,5 +3,6 @@ //! Generic over [`SimdBaseField`](super::simd_fields::SimdBaseField). pub mod evaluate; +pub mod micro_bench; pub mod prove; pub mod reduce; From dce7ebf69cb3bf5d850ea9b0f9c01e43a1cb2925 Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Thu, 26 Mar 2026 23:22:31 +0100 Subject: [PATCH 03/52] auto dispatch --- src/multilinear_sumcheck.rs | 102 ++++++++++++++++++++++++++++++++++++ 1 file changed, 102 insertions(+) diff --git a/src/multilinear_sumcheck.rs b/src/multilinear_sumcheck.rs index ee5d3aa3..86f99732 100644 --- a/src/multilinear_sumcheck.rs +++ b/src/multilinear_sumcheck.rs @@ -54,6 +54,15 @@ pub fn multilinear_sumcheck>( ); assert!(evaluations.len() >= 2, "need at least 1 variable"); + // ── SIMD auto-dispatch ── + // When BF == EF and BF has a SIMD backend, transparently route to the + // fast SIMD path. The TypeId checks evaluate to compile-time constants + // in monomorphized code, so LLVM eliminates the dead branch — zero cost. + #[cfg(target_arch = "aarch64")] + if let Some(result) = try_simd_dispatch::(evaluations, transcript) { + return result; + } + let num_rounds = evaluations.len().trailing_zeros() as usize; let mut prover_messages: Vec<(EF, EF)> = vec![]; let mut verifier_messages: Vec = vec![]; @@ -94,6 +103,99 @@ pub fn multilinear_sumcheck>( } } +/// Try to dispatch to the SIMD backend when `BF == EF` and `BF` is a known +/// SIMD-accelerated type (currently: Goldilocks F64). +/// +/// Returns `Some(result)` if the SIMD path was taken, `None` otherwise. +/// +/// In monomorphized code, the `TypeId` checks are compile-time constants. +/// LLVM eliminates the entire function body for non-matching types — zero cost. +#[cfg(target_arch = "aarch64")] +fn try_simd_dispatch>( + evaluations: &mut [BF], + transcript: &mut impl Transcript, +) -> Option> { + use crate::tests::F64; + use std::any::TypeId; + + // Both checks are compile-time constants in monomorphized code. + if TypeId::of::() == TypeId::of::() && TypeId::of::() == TypeId::of::() { + // BF == EF == F64 (verified via TypeId). + + // Cast &mut [BF] → &[F64] (same type, same layout). + let evals_f64: &[F64] = unsafe { + core::slice::from_raw_parts(evaluations.as_ptr() as *const F64, evaluations.len()) + }; + + // Single closure for transcript round-step: write (s0, s1), return challenge. + // This avoids the double-mutable-borrow issue with separate write/read closures. + let result_f64 = simd_sumcheck_raw_f64(evals_f64, |s0, s1| { + // SAFETY: EF == F64, so the in-memory representation is identical. + let s0_ef: EF = unsafe { core::mem::transmute_copy(&s0) }; + let s1_ef: EF = unsafe { core::mem::transmute_copy(&s1) }; + transcript.write(s0_ef); + transcript.write(s1_ef); + let chg_ef: EF = transcript.read(); + unsafe { core::mem::transmute_copy(&chg_ef) } + }); + + // Cast Sumcheck → Sumcheck. + // SAFETY: F64 == EF (verified above), so layout is identical. + let result: Sumcheck = Sumcheck { + verifier_messages: unsafe { core::mem::transmute(result_f64.verifier_messages) }, + prover_messages: unsafe { core::mem::transmute(result_f64.prover_messages) }, + }; + + return Some(result); + } + + None +} + +/// Raw SIMD sumcheck for F64, using a single closure for transcript interaction. +/// +/// `round_step(s0, s1) -> challenge`: Writes the round messages to the transcript +/// and returns the verifier's challenge. This single-closure design avoids borrowing +/// issues with the outer transcript reference. +#[cfg(target_arch = "aarch64")] +fn simd_sumcheck_raw_f64( + evaluations: &[crate::tests::F64], + mut round_step: impl FnMut(crate::tests::F64, crate::tests::F64) -> crate::tests::F64, +) -> Sumcheck { + use crate::simd_fields::SimdAccelerated; + use crate::tests::F64; + + let num_rounds = evaluations.len().trailing_zeros() as usize; + let mut prover_messages: Vec<(F64, F64)> = Vec::with_capacity(num_rounds); + let mut verifier_messages: Vec = Vec::with_capacity(num_rounds); + + let mut buf = F64::slice_to_raw(evaluations); + let mut active_len = buf.len(); + + for round in 0..num_rounds { + let half = active_len / 2; + + let (s0, s1) = eval_raw::<::Backend>(&buf[..active_len]); + + let msg_s0 = F64::from_raw(s0); + let msg_s1 = F64::from_raw(s1); + + prover_messages.push((msg_s0, msg_s1)); + let challenge = round_step(msg_s0, msg_s1); + verifier_messages.push(challenge); + + if round < num_rounds - 1 { + reduce_raw::<::Backend>(&mut buf, half, F64::to_raw(challenge)); + active_len = half; + } + } + + Sumcheck { + verifier_messages, + prover_messages, + } +} + /// SIMD-accelerated multilinear sumcheck (base = extension). /// /// Same semantics as [`multilinear_sumcheck`], but uses native SIMD intrinsics From 960907da59fe96cf247b909e3aea9ddc43e2ea4d Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Thu, 26 Mar 2026 23:53:34 +0100 Subject: [PATCH 04/52] tweaks --- src/multilinear_sumcheck.rs | 75 ++++++++++++++++++++++++++++--------- 1 file changed, 57 insertions(+), 18 deletions(-) diff --git a/src/multilinear_sumcheck.rs b/src/multilinear_sumcheck.rs index 86f99732..05edb49d 100644 --- a/src/multilinear_sumcheck.rs +++ b/src/multilinear_sumcheck.rs @@ -108,8 +108,16 @@ pub fn multilinear_sumcheck>( /// /// Returns `Some(result)` if the SIMD path was taken, `None` otherwise. /// -/// In monomorphized code, the `TypeId` checks are compile-time constants. -/// LLVM eliminates the entire function body for non-matching types — zero cost. +/// Only dispatches for inputs ≤ `SIMD_MAX_ELEMENTS` — above this size the +/// generic arkworks path is competitive or faster due to its allocation-free +/// parallel reduce. The TypeId checks are compile-time constants in +/// monomorphized code, so LLVM eliminates the entire function body for +/// non-matching types. +/// +/// Currently only handles `BF == EF` (no extension field). Extension field +/// cases always use the generic path. +const SIMD_MAX_ELEMENTS: usize = 1 << 18; // 256K elements + #[cfg(target_arch = "aarch64")] fn try_simd_dispatch>( evaluations: &mut [BF], @@ -118,8 +126,12 @@ fn try_simd_dispatch>( use crate::tests::F64; use std::any::TypeId; - // Both checks are compile-time constants in monomorphized code. - if TypeId::of::() == TypeId::of::() && TypeId::of::() == TypeId::of::() { + // Both TypeId checks are compile-time constants in monomorphized code. + // The size check ensures we only take the SIMD path where it's actually faster. + if TypeId::of::() == TypeId::of::() + && TypeId::of::() == TypeId::of::() + && evaluations.len() <= SIMD_MAX_ELEMENTS + { // BF == EF == F64 (verified via TypeId). // Cast &mut [BF] → &[F64] (same type, same layout). @@ -282,14 +294,49 @@ fn eval_raw(evals: &[F::Scalar]) -> (F::Sc eval_raw_seq::(evals) } -/// Sequential evaluate. +/// Sequential evaluate using SIMD vector ops. +/// +/// Accumulates into `uint64x2_t` (2 lanes), processing 2 pairs (4 scalars) +/// per iteration. Falls back to scalar for the tail. #[inline(always)] fn eval_raw_seq( evals: &[F::Scalar], ) -> (F::Scalar, F::Scalar) { - let mut s0 = F::ZERO; - let mut s1 = F::ZERO; + let lanes = F::LANES; // 2 for NEON uint64x2_t + let stride = lanes * 2; // Process 2 pairs = 4 scalars per vector iteration + let vec_end = evals.len() / stride * stride; + + // Vector accumulation: each lane accumulates one "column" of pairs. + // After deinterleaving: acc_even holds sum of even-indexed, acc_odd holds odd-indexed. + let mut acc_even = F::splat(F::ZERO); + let mut acc_odd = F::splat(F::ZERO); + let mut i = 0; + while i < vec_end { + // Load [e0, o0, e1, o1] as two vectors [e0, o0] and [e1, o1] + let v0 = unsafe { F::load(evals.as_ptr().add(i)) }; // [e0, o0] + let v1 = unsafe { F::load(evals.as_ptr().add(i + lanes)) }; // [e1, o1] + + // Accumulate: each vector has [even, odd] + // v0.lane0 = even, v0.lane1 = odd + // v1.lane0 = even, v1.lane1 = odd + // So we can just add them all to a single accumulator and extract later. + acc_even = F::add(acc_even, v0); + acc_odd = F::add(acc_odd, v1); + i += stride; + } + + // Reduce the two 2-lane accumulators: merge even lanes, merge odd lanes. + // acc_even has [sum_of_slot0, sum_of_slot1], acc_odd has [sum_of_slot2, sum_of_slot3] + // slot0 and slot2 are even-indexed, slot1 and slot3 are odd-indexed. + let merged = F::add(acc_even, acc_odd); + let mut result = [F::ZERO; 2]; + unsafe { F::store(result.as_mut_ptr(), merged) }; + // result[0] has accumulated evens from slots 0,2; result[1] has odds from slots 1,3 + let mut s0 = result[0]; + let mut s1 = result[1]; + + // Scalar tail while i + 1 < evals.len() { s0 = F::scalar_add(s0, evals[i]); s1 = F::scalar_add(s1, evals[i + 1]); @@ -305,18 +352,16 @@ fn eval_raw_parallel( ) -> (F::Scalar, F::Scalar) { use rayon::prelude::*; - // Split into chunks of pairs, compute partial sums in parallel, then merge. - let chunk_pairs = 16_384; // pairs per chunk + let chunk_pairs = 16_384; let chunk_scalars = chunk_pairs * 2; - let (s0, s1) = evals + evals .par_chunks(chunk_scalars) .map(|chunk| eval_raw_seq::(chunk)) .reduce( || (F::ZERO, F::ZERO), |(a0, a1), (b0, b1)| (F::scalar_add(a0, b0), F::scalar_add(a1, b1)), - ); - (s0, s1) + ) } /// In-place pairwise reduce: `buf[i] = buf[2i] + c * (buf[2i+1] - buf[2i])`. @@ -353,10 +398,6 @@ fn reduce_raw_seq( } /// Parallel reduce using rayon. -/// -/// Strategy: we can't trivially do in-place parallel reduce because of -/// aliasing (buf[i] reads from buf[2i]). Instead, we first compute -/// the reduced values into a temporary buffer in parallel, then copy back. #[cfg(feature = "parallel")] fn reduce_raw_parallel( buf: &mut [F::Scalar], @@ -365,7 +406,6 @@ fn reduce_raw_parallel( ) { use rayon::prelude::*; - // Compute reduced values in parallel from the pairs region. let pairs = &buf[..2 * half]; let reduced: Vec = pairs .par_chunks(2) @@ -378,7 +418,6 @@ fn reduce_raw_parallel( }) .collect(); - // Copy back into the first `half` positions. buf[..half].copy_from_slice(&reduced); } From 799f23bd816bf9dd38e7c8481adb2499dbd98e9f Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Fri, 27 Mar 2026 19:41:51 +0100 Subject: [PATCH 05/52] opts --- Cargo.toml | 7 +- benches/simd_vs_generic.rs | 25 +- src/lib.rs | 2 +- src/multilinear_sumcheck.rs | 328 +----------------------- src/simd_fields/goldilocks/bridge.rs | 17 +- src/simd_fields/goldilocks/mont_neon.rs | 8 +- src/simd_sumcheck/dispatch.rs | 250 ++++++++++++++++++ src/simd_sumcheck/evaluate.rs | 28 +- src/simd_sumcheck/micro_bench.rs | 12 +- src/simd_sumcheck/mod.rs | 1 + src/tests/fields.rs | 22 +- src/tests/mod.rs | 3 +- 12 files changed, 314 insertions(+), 389 deletions(-) create mode 100644 src/simd_sumcheck/dispatch.rs diff --git a/Cargo.toml b/Cargo.toml index 2b3bb45a..f3b3923b 100644 --- a/Cargo.toml +++ b/Cargo.toml @@ -15,7 +15,7 @@ ark-std ="0.5.0" memmap2 = "0.9.5" nohash-hasher = "0.2.0" rayon = { version = "1.10", optional = true } -spongefish = { git = "https://github.com/arkworks-rs/spongefish", branch = "main", features = ["ark-ff"] } +spongefish = { git = "https://github.com/z-tech/spongefish.git", branch = "smallfp-support", features = ["ark-ff"] } [dev-dependencies] criterion = "0.8" @@ -38,3 +38,8 @@ harness = false name = "simd_vs_generic" path = "benches/simd_vs_generic.rs" harness = false + +[patch.crates-io] +ark-ff = { git = "https://github.com/arkworks-rs/algebra.git" } +ark-poly = { git = "https://github.com/arkworks-rs/algebra.git" } +ark-serialize = { git = "https://github.com/arkworks-rs/algebra.git" } diff --git a/benches/simd_vs_generic.rs b/benches/simd_vs_generic.rs index 2dd9b2e4..a238e9cb 100644 --- a/benches/simd_vs_generic.rs +++ b/benches/simd_vs_generic.rs @@ -7,7 +7,6 @@ use criterion::{ use efficient_sumcheck::{ multilinear_sumcheck, simd_fields::{goldilocks::GoldilocksSIMD, SimdBaseField}, - simd_multilinear_sumcheck, tests::F64, transcript::SanityTranscript, }; @@ -24,10 +23,10 @@ fn get_bench_group(c: &mut Criterion) -> BenchmarkGroup<'_, WallTime> { fn simd_vs_generic_sumcheck(c: &mut Criterion) { let mut group = get_bench_group(c); - for num_vars in [16, 20, 24] { + for num_vars in [16, 17, 18, 19, 20, 24] { let n = 1usize << num_vars; - // ── Generic multilinear_sumcheck ── + // ── Generic multilinear_sumcheck (auto-dispatches to SIMD for F64) ── group.bench_with_input( BenchmarkId::new("generic", format!("2^{}", num_vars)), &num_vars, @@ -50,26 +49,6 @@ fn simd_vs_generic_sumcheck(c: &mut Criterion) { }, ); - // ── SIMD multilinear_sumcheck (with Montgomery conversion) ── - group.bench_with_input( - BenchmarkId::new("simd_with_conv", format!("2^{}", num_vars)), - &num_vars, - |bencher, _| { - bencher.iter_with_setup( - || { - let mut rng = ark_std::test_rng(); - let evals: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - evals - }, - |evals| { - let mut rng = ark_std::test_rng(); - let mut transcript = SanityTranscript::new(&mut rng); - black_box(simd_multilinear_sumcheck::(&evals, &mut transcript)); - }, - ) - }, - ); - // ── Raw SIMD (no conversion — simulates SmallFp / zero-cost transmute) ── group.bench_with_input( BenchmarkId::new("simd_raw", format!("2^{}", num_vars)), diff --git a/src/lib.rs b/src/lib.rs index 8c2cf100..af8d4cd4 100644 --- a/src/lib.rs +++ b/src/lib.rs @@ -35,7 +35,7 @@ mod multilinear_sumcheck; pub use inner_product_sumcheck::{ accumulate_sparse_evaluations, batched_constraint_poly, inner_product_sumcheck, ProductSumcheck, }; -pub use multilinear_sumcheck::{multilinear_sumcheck, simd_multilinear_sumcheck, Sumcheck}; +pub use multilinear_sumcheck::{multilinear_sumcheck, Sumcheck}; // ─── Internal / Advanced ───────────────────────────────────────────────────── diff --git a/src/multilinear_sumcheck.rs b/src/multilinear_sumcheck.rs index 05edb49d..b2692243 100644 --- a/src/multilinear_sumcheck.rs +++ b/src/multilinear_sumcheck.rs @@ -25,7 +25,6 @@ use ark_ff::Field; use crate::multilinear::reductions::pairwise; -use crate::simd_fields::SimdAccelerated; use crate::transcript::Transcript; pub use crate::multilinear::Sumcheck; @@ -59,7 +58,9 @@ pub fn multilinear_sumcheck>( // fast SIMD path. The TypeId checks evaluate to compile-time constants // in monomorphized code, so LLVM eliminates the dead branch — zero cost. #[cfg(target_arch = "aarch64")] - if let Some(result) = try_simd_dispatch::(evaluations, transcript) { + if let Some(result) = + crate::simd_sumcheck::dispatch::try_simd_dispatch::(evaluations, transcript) + { return result; } @@ -103,324 +104,6 @@ pub fn multilinear_sumcheck>( } } -/// Try to dispatch to the SIMD backend when `BF == EF` and `BF` is a known -/// SIMD-accelerated type (currently: Goldilocks F64). -/// -/// Returns `Some(result)` if the SIMD path was taken, `None` otherwise. -/// -/// Only dispatches for inputs ≤ `SIMD_MAX_ELEMENTS` — above this size the -/// generic arkworks path is competitive or faster due to its allocation-free -/// parallel reduce. The TypeId checks are compile-time constants in -/// monomorphized code, so LLVM eliminates the entire function body for -/// non-matching types. -/// -/// Currently only handles `BF == EF` (no extension field). Extension field -/// cases always use the generic path. -const SIMD_MAX_ELEMENTS: usize = 1 << 18; // 256K elements - -#[cfg(target_arch = "aarch64")] -fn try_simd_dispatch>( - evaluations: &mut [BF], - transcript: &mut impl Transcript, -) -> Option> { - use crate::tests::F64; - use std::any::TypeId; - - // Both TypeId checks are compile-time constants in monomorphized code. - // The size check ensures we only take the SIMD path where it's actually faster. - if TypeId::of::() == TypeId::of::() - && TypeId::of::() == TypeId::of::() - && evaluations.len() <= SIMD_MAX_ELEMENTS - { - // BF == EF == F64 (verified via TypeId). - - // Cast &mut [BF] → &[F64] (same type, same layout). - let evals_f64: &[F64] = unsafe { - core::slice::from_raw_parts(evaluations.as_ptr() as *const F64, evaluations.len()) - }; - - // Single closure for transcript round-step: write (s0, s1), return challenge. - // This avoids the double-mutable-borrow issue with separate write/read closures. - let result_f64 = simd_sumcheck_raw_f64(evals_f64, |s0, s1| { - // SAFETY: EF == F64, so the in-memory representation is identical. - let s0_ef: EF = unsafe { core::mem::transmute_copy(&s0) }; - let s1_ef: EF = unsafe { core::mem::transmute_copy(&s1) }; - transcript.write(s0_ef); - transcript.write(s1_ef); - let chg_ef: EF = transcript.read(); - unsafe { core::mem::transmute_copy(&chg_ef) } - }); - - // Cast Sumcheck → Sumcheck. - // SAFETY: F64 == EF (verified above), so layout is identical. - let result: Sumcheck = Sumcheck { - verifier_messages: unsafe { core::mem::transmute(result_f64.verifier_messages) }, - prover_messages: unsafe { core::mem::transmute(result_f64.prover_messages) }, - }; - - return Some(result); - } - - None -} - -/// Raw SIMD sumcheck for F64, using a single closure for transcript interaction. -/// -/// `round_step(s0, s1) -> challenge`: Writes the round messages to the transcript -/// and returns the verifier's challenge. This single-closure design avoids borrowing -/// issues with the outer transcript reference. -#[cfg(target_arch = "aarch64")] -fn simd_sumcheck_raw_f64( - evaluations: &[crate::tests::F64], - mut round_step: impl FnMut(crate::tests::F64, crate::tests::F64) -> crate::tests::F64, -) -> Sumcheck { - use crate::simd_fields::SimdAccelerated; - use crate::tests::F64; - - let num_rounds = evaluations.len().trailing_zeros() as usize; - let mut prover_messages: Vec<(F64, F64)> = Vec::with_capacity(num_rounds); - let mut verifier_messages: Vec = Vec::with_capacity(num_rounds); - - let mut buf = F64::slice_to_raw(evaluations); - let mut active_len = buf.len(); - - for round in 0..num_rounds { - let half = active_len / 2; - - let (s0, s1) = eval_raw::<::Backend>(&buf[..active_len]); - - let msg_s0 = F64::from_raw(s0); - let msg_s1 = F64::from_raw(s1); - - prover_messages.push((msg_s0, msg_s1)); - let challenge = round_step(msg_s0, msg_s1); - verifier_messages.push(challenge); - - if round < num_rounds - 1 { - reduce_raw::<::Backend>(&mut buf, half, F64::to_raw(challenge)); - active_len = half; - } - } - - Sumcheck { - verifier_messages, - prover_messages, - } -} - -/// SIMD-accelerated multilinear sumcheck (base = extension). -/// -/// Same semantics as [`multilinear_sumcheck`], but uses native SIMD intrinsics -/// for the hot-path evaluate and reduce operations. The dispatch is **compile-time**: -/// this function only exists for fields that implement [`SimdAccelerated`]. -/// -/// # How it works -/// -/// 1. Converts evaluations from arkworks `Field` representation to raw scalars (O(n)) -/// 2. Runs the sumcheck entirely in the raw SIMD domain (O(n log n)) -/// 3. Wraps the round messages back in arkworks types -/// -/// The O(n) conversion cost is amortized by the O(n log n) sumcheck. -/// -/// # Usage -/// -/// ```text -/// // This compiles only if F64 implements SimdAccelerated: -/// let result = simd_multilinear_sumcheck::(&evals, &mut transcript); -/// ``` -pub fn simd_multilinear_sumcheck( - evaluations: &[BF], - transcript: &mut impl Transcript, -) -> Sumcheck -where - BF: Field + SimdAccelerated, -{ - assert!( - evaluations.len().count_ones() == 1, - "length must be a power of 2" - ); - assert!(evaluations.len() >= 2, "need at least 1 variable"); - - let num_rounds = evaluations.len().trailing_zeros() as usize; - let mut prover_messages: Vec<(BF, BF)> = Vec::with_capacity(num_rounds); - let mut verifier_messages: Vec = Vec::with_capacity(num_rounds); - - // Copy to raw scalars — zero-cost memcpy for Montgomery-form types. - let mut buf = BF::slice_to_raw(evaluations); - let mut active_len = buf.len(); - - for round in 0..num_rounds { - let half = active_len / 2; - - // ── Evaluate: sum even-indexed and odd-indexed elements ── - let (s0, s1) = eval_raw::(&buf[..active_len]); - - let msg_s0 = BF::from_raw(s0); - let msg_s1 = BF::from_raw(s1); - - prover_messages.push((msg_s0, msg_s1)); - transcript.write(msg_s0); - transcript.write(msg_s1); - - let challenge = transcript.read(); - verifier_messages.push(challenge); - - // ── Reduce in-place ── - if round < num_rounds - 1 { - reduce_raw::(&mut buf, half, BF::to_raw(challenge)); - active_len = half; - } - } - - Sumcheck { - verifier_messages, - prover_messages, - } -} - -/// Below this element count, stay single-threaded (rayon spawn overhead dominates). -/// Above it, parallelize evaluate & reduce. 128K elements ≈ 2^17. -const PAR_THRESHOLD: usize = 1 << 17; - -/// Sum even-indexed and odd-indexed elements of a raw scalar slice. -#[inline(always)] -fn eval_raw(evals: &[F::Scalar]) -> (F::Scalar, F::Scalar) { - #[cfg(feature = "parallel")] - { - if evals.len() >= PAR_THRESHOLD { - return eval_raw_parallel::(evals); - } - } - eval_raw_seq::(evals) -} - -/// Sequential evaluate using SIMD vector ops. -/// -/// Accumulates into `uint64x2_t` (2 lanes), processing 2 pairs (4 scalars) -/// per iteration. Falls back to scalar for the tail. -#[inline(always)] -fn eval_raw_seq( - evals: &[F::Scalar], -) -> (F::Scalar, F::Scalar) { - let lanes = F::LANES; // 2 for NEON uint64x2_t - let stride = lanes * 2; // Process 2 pairs = 4 scalars per vector iteration - let vec_end = evals.len() / stride * stride; - - // Vector accumulation: each lane accumulates one "column" of pairs. - // After deinterleaving: acc_even holds sum of even-indexed, acc_odd holds odd-indexed. - let mut acc_even = F::splat(F::ZERO); - let mut acc_odd = F::splat(F::ZERO); - - let mut i = 0; - while i < vec_end { - // Load [e0, o0, e1, o1] as two vectors [e0, o0] and [e1, o1] - let v0 = unsafe { F::load(evals.as_ptr().add(i)) }; // [e0, o0] - let v1 = unsafe { F::load(evals.as_ptr().add(i + lanes)) }; // [e1, o1] - - // Accumulate: each vector has [even, odd] - // v0.lane0 = even, v0.lane1 = odd - // v1.lane0 = even, v1.lane1 = odd - // So we can just add them all to a single accumulator and extract later. - acc_even = F::add(acc_even, v0); - acc_odd = F::add(acc_odd, v1); - i += stride; - } - - // Reduce the two 2-lane accumulators: merge even lanes, merge odd lanes. - // acc_even has [sum_of_slot0, sum_of_slot1], acc_odd has [sum_of_slot2, sum_of_slot3] - // slot0 and slot2 are even-indexed, slot1 and slot3 are odd-indexed. - let merged = F::add(acc_even, acc_odd); - let mut result = [F::ZERO; 2]; - unsafe { F::store(result.as_mut_ptr(), merged) }; - // result[0] has accumulated evens from slots 0,2; result[1] has odds from slots 1,3 - let mut s0 = result[0]; - let mut s1 = result[1]; - - // Scalar tail - while i + 1 < evals.len() { - s0 = F::scalar_add(s0, evals[i]); - s1 = F::scalar_add(s1, evals[i + 1]); - i += 2; - } - (s0, s1) -} - -/// Parallel evaluate using rayon. -#[cfg(feature = "parallel")] -fn eval_raw_parallel( - evals: &[F::Scalar], -) -> (F::Scalar, F::Scalar) { - use rayon::prelude::*; - - let chunk_pairs = 16_384; - let chunk_scalars = chunk_pairs * 2; - - evals - .par_chunks(chunk_scalars) - .map(|chunk| eval_raw_seq::(chunk)) - .reduce( - || (F::ZERO, F::ZERO), - |(a0, a1), (b0, b1)| (F::scalar_add(a0, b0), F::scalar_add(a1, b1)), - ) -} - -/// In-place pairwise reduce: `buf[i] = buf[2i] + c * (buf[2i+1] - buf[2i])`. -#[inline(always)] -fn reduce_raw( - buf: &mut [F::Scalar], - half: usize, - c: F::Scalar, -) { - #[cfg(feature = "parallel")] - { - if half >= PAR_THRESHOLD / 2 { - reduce_raw_parallel::(buf, half, c); - return; - } - } - reduce_raw_seq::(buf, half, c); -} - -/// Sequential reduce. -#[inline(always)] -fn reduce_raw_seq( - buf: &mut [F::Scalar], - half: usize, - c: F::Scalar, -) { - for i in 0..half { - let a = buf[2 * i]; - let b = buf[2 * i + 1]; - let diff = F::scalar_sub(b, a); - let scaled = F::scalar_mul(c, diff); - buf[i] = F::scalar_add(a, scaled); - } -} - -/// Parallel reduce using rayon. -#[cfg(feature = "parallel")] -fn reduce_raw_parallel( - buf: &mut [F::Scalar], - half: usize, - c: F::Scalar, -) { - use rayon::prelude::*; - - let pairs = &buf[..2 * half]; - let reduced: Vec = pairs - .par_chunks(2) - .map(|pair| { - let a = pair[0]; - let b = pair[1]; - let diff = F::scalar_sub(b, a); - let scaled = F::scalar_mul(c, diff); - F::scalar_add(a, scaled) - }) - .collect(); - - buf[..half].copy_from_slice(&reduced); -} - #[cfg(test)] mod tests { use super::*; @@ -483,10 +166,11 @@ mod tests { let mut transcript1 = SanityTranscript::new(&mut rng1); let generic_result = multilinear_sumcheck::(&mut generic_evals, &mut transcript1); - // Run SIMD sumcheck with the same transcript seeding + // Run SIMD sumcheck (auto-dispatched via multilinear_sumcheck) + let mut simd_evals = evaluations.clone(); let mut rng2 = test_rng(); let mut transcript2 = SanityTranscript::new(&mut rng2); - let simd_result = simd_multilinear_sumcheck::(&evaluations, &mut transcript2); + let simd_result = multilinear_sumcheck::(&mut simd_evals, &mut transcript2); // Prover messages must match exactly assert_eq!( diff --git a/src/simd_fields/goldilocks/bridge.rs b/src/simd_fields/goldilocks/bridge.rs index 4323ce8b..da4febfc 100644 --- a/src/simd_fields/goldilocks/bridge.rs +++ b/src/simd_fields/goldilocks/bridge.rs @@ -4,9 +4,6 @@ //! directly on arkworks' internal representation — zero-cost access, //! no conversion needed. -use ark_ff::BigInt; -use core::marker::PhantomData; - use super::MontGoldilocksSIMD; use crate::simd_fields::SimdAccelerated; use crate::tests::F64; @@ -16,23 +13,19 @@ impl SimdAccelerated for F64 { #[inline(always)] fn to_raw(val: F64) -> u64 { - // F64 = Fp(BigInt([val]), PhantomData) - // .0 is the BigInt<1>, .0.0 is [u64; 1] - (val.0).0[0] + // SmallFp { value: u64, _phantom } — direct access to Montgomery-form value. + val.value } #[inline(always)] fn from_raw(val: u64) -> F64 { - // Construct Fp directly from Montgomery-form value. - // new_unchecked skips the R2 multiplication (value is already in Montgomery form). - ark_ff::Fp(BigInt([val]), PhantomData) + // Construct SmallFp directly from Montgomery-form value (no conversion). + F64::from_raw(val) } #[inline(always)] fn slice_to_raw(src: &[F64]) -> Vec { - // Zero-cost: F64 is repr-compatible with u64 (BigInt<1> + ZST PhantomData). - // We copy instead of transmute-in-place since the caller owns &[F64]. - // SAFETY: F64 and u64 have the same size and alignment. + // Zero-cost: SmallFp

is repr-compatible with u64 (value: u64 + ZST PhantomData). let mut out = Vec::with_capacity(src.len()); unsafe { core::ptr::copy_nonoverlapping(src.as_ptr() as *const u64, out.as_mut_ptr(), src.len()); diff --git a/src/simd_fields/goldilocks/mont_neon.rs b/src/simd_fields/goldilocks/mont_neon.rs index 4bca5e98..0b0620e7 100644 --- a/src/simd_fields/goldilocks/mont_neon.rs +++ b/src/simd_fields/goldilocks/mont_neon.rs @@ -167,19 +167,19 @@ fn mont_mul(a: u64, b: u64) -> u64 { #[cfg(test)] mod tests { use super::*; + use crate::simd_fields::SimdAccelerated; use crate::tests::F64; - use ark_ff::{AdditiveGroup, BigInt, Field, UniformRand}; + use ark_ff::{AdditiveGroup, Field, UniformRand}; use ark_std::test_rng; - use core::marker::PhantomData; /// Get the Montgomery-form value (raw internal representation). fn to_mont(f: F64) -> u64 { - (f.0).0[0] + F64::to_raw(f) } /// Reconstruct F64 from Montgomery-form value. fn from_mont(val: u64) -> F64 { - ark_ff::Fp(BigInt([val]), PhantomData) + F64::from_raw(val) } #[test] diff --git a/src/simd_sumcheck/dispatch.rs b/src/simd_sumcheck/dispatch.rs new file mode 100644 index 00000000..7cafce07 --- /dev/null +++ b/src/simd_sumcheck/dispatch.rs @@ -0,0 +1,250 @@ +//! SIMD auto-dispatch for the multilinear sumcheck protocol. +//! +//! When `BF == EF == Goldilocks F64`, the sumcheck is transparently routed +//! to a double-buffered Montgomery-arithmetic backend using NEON intrinsics. +//! +//! The TypeId checks evaluate to compile-time constants in monomorphized code, +//! so LLVM eliminates the dead branch — zero cost for non-matching types. + +use ark_ff::Field; + +use crate::multilinear::Sumcheck; +use crate::transcript::Transcript; + +#[cfg(target_arch = "aarch64")] +use crate::simd_fields::goldilocks::mont_neon::MontGoldilocksNeon as MontBackend; +#[cfg(target_arch = "aarch64")] +use crate::simd_fields::SimdBaseField; + +/// Returns `true` when `T` is a Goldilocks field type (q = 2^64 - 2^32 + 1) +/// stored as a single Montgomery-form `u64`. +/// +/// Matches **both** representations: +/// - `SmallFp` (via `define_field!`) — bare `u64` + PhantomData +/// - `Fp64>` (via `MontConfig`) — `BigInt<1>` + PhantomData +/// +/// Both have identical memory layout (one `u64` in Montgomery form), +/// so the SIMD arithmetic works for either. +/// +/// This is a compile-time constant after monomorphization — LLVM +/// eliminates the dead branch entirely (zero runtime cost). +#[cfg(target_arch = "aarch64")] +#[inline(always)] +fn is_goldilocks_f64() -> bool { + use crate::tests::FpF64; + use crate::tests::F64; // SmallFp // Fp64> + let tid = std::any::TypeId::of::(); + tid == std::any::TypeId::of::() || tid == std::any::TypeId::of::() +} + +// ─── Auto-dispatch ────────────────────────────────────────────────────────── + +/// Try to dispatch to the SIMD backend when `BF == EF` and `BF` is a known +/// SIMD-accelerated type (currently: Goldilocks F64). +/// +/// Returns `Some(result)` if the SIMD path was taken, `None` otherwise. +/// +/// Zero allocation: transmutes `&mut [BF]` → `&mut [u64]` in-place. +/// The TypeId checks are compile-time constants in monomorphized code. +#[cfg(target_arch = "aarch64")] +pub(crate) fn try_simd_dispatch>( + evaluations: &mut [BF], + transcript: &mut impl Transcript, +) -> Option> { + if !(is_goldilocks_f64::() && is_goldilocks_f64::()) { + return None; + } + + // BF == EF == F64 (verified via TypeId). + + // SAFETY: F64 is repr-transparent over u64 (Montgomery form). + // Zero-copy transmute — work directly on the caller's buffer. + let buf: &mut [u64] = unsafe { + core::slice::from_raw_parts_mut(evaluations.as_mut_ptr() as *mut u64, evaluations.len()) + }; + + // Single closure for transcript round-step: write (s0, s1), return challenge. + let result_f64 = simd_sumcheck_inplace(buf, |s0, s1| { + let s0_ef: EF = unsafe { core::mem::transmute_copy(&s0) }; + let s1_ef: EF = unsafe { core::mem::transmute_copy(&s1) }; + transcript.write(s0_ef); + transcript.write(s1_ef); + let chg_ef: EF = transcript.read(); + unsafe { core::mem::transmute_copy(&chg_ef) } + }); + + // Cast Sumcheck → Sumcheck. + let result: Sumcheck = Sumcheck { + verifier_messages: unsafe { + core::mem::transmute::, Vec>(result_f64.verifier_messages) + }, + prover_messages: unsafe { + core::mem::transmute::, Vec<(EF, EF)>>( + result_f64.prover_messages, + ) + }, + }; + + Some(result) +} + +// ─── Double-buffered sumcheck loop ────────────────────────────────────────── + +/// Double-buffered SIMD sumcheck over raw Montgomery-form `u64` values. +/// +/// Pre-allocates one extra buffer of size `n/2`. Each round reads from one +/// buffer and reduces into the other. Since src/dst are non-overlapping, +/// parallel writes via `par_chunks_mut` are trivially safe. +/// +/// Memory cost: one allocation of `n/2 * 8` bytes at the start. Zero per-round. +#[cfg(target_arch = "aarch64")] +fn simd_sumcheck_inplace( + buf: &mut [u64], + mut round_step: impl FnMut(crate::tests::F64, crate::tests::F64) -> crate::tests::F64, +) -> Sumcheck { + use crate::simd_fields::SimdAccelerated; + use crate::tests::F64; + + let n = buf.len(); + let num_rounds = n.trailing_zeros() as usize; + let mut prover_messages: Vec<(F64, F64)> = Vec::with_capacity(num_rounds); + let mut verifier_messages: Vec = Vec::with_capacity(num_rounds); + + // Second buffer for double-buffering (only n/2 needed). + let mut buf_b: Vec = vec![0u64; n / 2]; + + // Track which buffer holds the current data. + let mut active_len = n; + let mut read_from_a = true; // true = data in buf (a), false = data in buf_b (b) + + for round in 0..num_rounds { + let half = active_len / 2; + + // ── Evaluate: sum even/odd elements from the current buffer ── + let src = if read_from_a { + &buf[..active_len] + } else { + &buf_b[..active_len] + }; + let (s0, s1) = simd_evaluate(src); + + let msg_s0 = F64::from_raw(s0); + let msg_s1 = F64::from_raw(s1); + + prover_messages.push((msg_s0, msg_s1)); + let challenge = round_step(msg_s0, msg_s1); + verifier_messages.push(challenge); + + // ── Reduce: read from current buffer, write to the other ── + if round < num_rounds - 1 { + let c = F64::to_raw(challenge); + if read_from_a { + simd_reduce_double(&buf[..active_len], &mut buf_b[..half], c); + } else { + simd_reduce_double(&buf_b[..active_len], &mut buf[..half], c); + } + active_len = half; + read_from_a = !read_from_a; + } + } + + Sumcheck { + verifier_messages, + prover_messages, + } +} + +// ─── SIMD evaluate & reduce: Montgomery ops, double-buffered ──────────────── + +/// Sum even-indexed and odd-indexed elements. +/// +/// Each rayon task sums a 16K-pair chunk with fast Montgomery adds. +#[cfg(target_arch = "aarch64")] +fn simd_evaluate(evals: &[u64]) -> (u64, u64) { + #[cfg(feature = "parallel")] + { + use rayon::prelude::*; + + evals + .par_chunks(16_384 * 2) + .map(|chunk| { + let mut s0 = MontBackend::ZERO; + let mut s1 = MontBackend::ZERO; + let mut i = 0; + while i + 1 < chunk.len() { + s0 = MontBackend::scalar_add(s0, chunk[i]); + s1 = MontBackend::scalar_add(s1, chunk[i + 1]); + i += 2; + } + (s0, s1) + }) + .reduce( + || (MontBackend::ZERO, MontBackend::ZERO), + |(a0, a1), (b0, b1)| { + ( + MontBackend::scalar_add(a0, b0), + MontBackend::scalar_add(a1, b1), + ) + }, + ) + } + + #[cfg(not(feature = "parallel"))] + { + let mut s0 = MontBackend::ZERO; + let mut s1 = MontBackend::ZERO; + let mut i = 0; + while i + 1 < evals.len() { + s0 = MontBackend::scalar_add(s0, evals[i]); + s1 = MontBackend::scalar_add(s1, evals[i + 1]); + i += 2; + } + (s0, s1) + } +} + +/// Double-buffered pairwise reduce: read from `src`, write to `dst`. +/// +/// `dst[i] = src[2i] + c * (src[2i+1] - src[2i])` +/// +/// Since `src` and `dst` are non-overlapping slices: +/// - parallel writes to `dst` via `par_chunks_mut` are trivially safe +/// - reads from `src` are shared immutable references +/// - zero per-round allocation, no `unsafe` +#[cfg(target_arch = "aarch64")] +fn simd_reduce_double(src: &[u64], dst: &mut [u64], c: u64) { + let half = dst.len(); + debug_assert!(src.len() >= 2 * half); + + #[cfg(feature = "parallel")] + { + use rayon::prelude::*; + + // 16K output elements per rayon task (reads 32K input elements). + let chunk_size = 16_384; + + dst.par_chunks_mut(chunk_size) + .enumerate() + .for_each(|(chunk_idx, dst_chunk)| { + let src_offset = chunk_idx * chunk_size * 2; + for i in 0..dst_chunk.len() { + let a = src[src_offset + 2 * i]; + let b = src[src_offset + 2 * i + 1]; + let diff = MontBackend::scalar_sub(b, a); + let scaled = MontBackend::scalar_mul(c, diff); + dst_chunk[i] = MontBackend::scalar_add(a, scaled); + } + }); + } + + #[cfg(not(feature = "parallel"))] + { + for i in 0..half { + let a = src[2 * i]; + let b = src[2 * i + 1]; + let diff = MontBackend::scalar_sub(b, a); + let scaled = MontBackend::scalar_mul(c, diff); + dst[i] = MontBackend::scalar_add(a, scaled); + } + } +} diff --git a/src/simd_sumcheck/evaluate.rs b/src/simd_sumcheck/evaluate.rs index c281da92..da2a8996 100644 --- a/src/simd_sumcheck/evaluate.rs +++ b/src/simd_sumcheck/evaluate.rs @@ -99,11 +99,11 @@ pub fn evaluate(src: &[F::Scalar]) -> (F::Scalar, F::Scalar) { let mut even_sum = F::ZERO; let mut odd_sum = F::ZERO; - for j in 0..F::LANES { + for (j, &val) in lanes_buf.iter().enumerate().take(F::LANES) { if j % 2 == 0 { - even_sum = F::scalar_add(even_sum, lanes_buf[j]); + even_sum = F::scalar_add(even_sum, val); } else { - odd_sum = F::scalar_add(odd_sum, lanes_buf[j]); + odd_sum = F::scalar_add(odd_sum, val); } } @@ -118,12 +118,12 @@ pub fn evaluate(src: &[F::Scalar]) -> (F::Scalar, F::Scalar) { pub fn evaluate_parallel(src: &[F::Scalar]) -> (F::Scalar, F::Scalar) { use rayon::prelude::*; - let chunk_size = 32_768; // number of scalars per chunk + let chunk_size: usize = 32_768; // number of scalars per chunk let lanes = F::LANES; let step = 4 * lanes; // Round chunk size up to multiple of step - let chunk_size = ((chunk_size + step - 1) / step) * step; + let chunk_size = chunk_size.div_ceil(step) * step; // For small inputs, use the aligned+tail scalar approach directly if src.len() <= chunk_size { @@ -133,11 +133,11 @@ pub fn evaluate_parallel(src: &[F::Scalar]) -> (F::Scalar, F:: } else { (F::ZERO, F::ZERO) }; - for i in aligned_len..src.len() { + for (i, &val) in src.iter().enumerate().skip(aligned_len) { if i % 2 == 0 { - even = F::scalar_add(even, src[i]); + even = F::scalar_add(even, val); } else { - odd = F::scalar_add(odd, src[i]); + odd = F::scalar_add(odd, val); } } return (even, odd); @@ -151,11 +151,11 @@ pub fn evaluate_parallel(src: &[F::Scalar]) -> (F::Scalar, F:: // Scalar fallback for tiny remainder let mut even = F::ZERO; let mut odd = F::ZERO; - for i in 0..chunk.len() { + for (i, &val) in chunk.iter().enumerate() { if i % 2 == 0 { - even = F::scalar_add(even, chunk[i]); + even = F::scalar_add(even, val); } else { - odd = F::scalar_add(odd, chunk[i]); + odd = F::scalar_add(odd, val); } } (even, odd) @@ -164,11 +164,11 @@ pub fn evaluate_parallel(src: &[F::Scalar]) -> (F::Scalar, F:: // Handle remainder scalarly let mut even = e; let mut odd = o; - for i in aligned_len..chunk.len() { + for (i, &val) in chunk.iter().enumerate().skip(aligned_len) { if i % 2 == 0 { - even = F::scalar_add(even, chunk[i]); + even = F::scalar_add(even, val); } else { - odd = F::scalar_add(odd, chunk[i]); + odd = F::scalar_add(odd, val); } } (even, odd) diff --git a/src/simd_sumcheck/micro_bench.rs b/src/simd_sumcheck/micro_bench.rs index bcf7e7f2..018cd05e 100644 --- a/src/simd_sumcheck/micro_bench.rs +++ b/src/simd_sumcheck/micro_bench.rs @@ -18,8 +18,8 @@ mod tests { let mut rng = test_rng(); let a_ff: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); let b_ff: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - let a_raw: Vec = a_ff.iter().map(|f| f.into_bigint().0[0]).collect(); - let b_raw: Vec = b_ff.iter().map(|f| f.into_bigint().0[0]).collect(); + let a_raw: Vec = a_ff.iter().map(|f| f.value).collect(); + let b_raw: Vec = b_ff.iter().map(|f| f.value).collect(); // Warm up let mut sink = 0u64; @@ -28,7 +28,7 @@ mod tests { let start = std::time::Instant::now(); for _ in 0..iters { for i in 0..n { - sink ^= (a_ff[i] * b_ff[i]).into_bigint().0[0]; + sink ^= (a_ff[i] * b_ff[i]).value; } } let arkworks_time = start.elapsed(); @@ -57,8 +57,8 @@ mod tests { ); // === Montgomery Goldilocks scalar multiply === - let a_mont: Vec = a_ff.iter().map(|f| (f.0).0[0]).collect(); - let b_mont: Vec = b_ff.iter().map(|f| (f.0).0[0]).collect(); + let a_mont: Vec = a_ff.iter().map(|f| f.value).collect(); + let b_mont: Vec = b_ff.iter().map(|f| f.value).collect(); let start = std::time::Instant::now(); for _ in 0..iters { for i in 0..n { @@ -82,7 +82,7 @@ mod tests { let start = std::time::Instant::now(); for _ in 0..iters { for i in 0..n { - sink ^= (a_ff[i] + b_ff[i]).into_bigint().0[0]; + sink ^= (a_ff[i] + b_ff[i]).value; } } let arkworks_add_time = start.elapsed(); diff --git a/src/simd_sumcheck/mod.rs b/src/simd_sumcheck/mod.rs index ffd1b344..663746a6 100644 --- a/src/simd_sumcheck/mod.rs +++ b/src/simd_sumcheck/mod.rs @@ -2,6 +2,7 @@ //! //! Generic over [`SimdBaseField`](super::simd_fields::SimdBaseField). +pub(crate) mod dispatch; pub mod evaluate; pub mod micro_bench; pub mod prove; diff --git a/src/tests/fields.rs b/src/tests/fields.rs index 503026c6..d4513ff7 100644 --- a/src/tests/fields.rs +++ b/src/tests/fields.rs @@ -1,3 +1,4 @@ +use ark_ff::define_field; use ark_ff::fields::{Fp128, Fp64, MontBackend, MontConfig}; #[derive(MontConfig)] @@ -18,14 +19,25 @@ pub type M31 = Fp64>; pub struct BabyBearConfig; pub type BabyBear = Fp64>; +// Goldilocks: q = 2^64 - 2^32 + 1 +// Primary type: SmallFp (optimal single-u64 Montgomery representation). +define_field!( + modulus = "18446744069414584321", + generator = "7", + name = F64, +); + +// Secondary type: Fp64 (for compatibility with code using MontConfig). +// Both F64 and FpF64 store a single u64 in Montgomery form — the SIMD backend +// works identically for either. #[derive(MontConfig)] -#[modulus = "18446744069414584321"] // q = 2^64 - 2^32 + 1 -#[generator = "2"] -pub struct F64Config; -pub type F64 = Fp64>; +#[modulus = "18446744069414584321"] +#[generator = "7"] +pub struct FpF64Config; +pub type FpF64 = Fp64>; #[derive(MontConfig)] -#[modulus = "143244528689204659050391023439224324689"] // q = 143244528689204659050391023439224324689 +#[modulus = "143244528689204659050391023439224324689"] #[generator = "2"] pub struct F128Config; pub type F128 = Fp128>; diff --git a/src/tests/mod.rs b/src/tests/mod.rs index 2a0907d0..8dc2d228 100644 --- a/src/tests/mod.rs +++ b/src/tests/mod.rs @@ -1,8 +1,9 @@ +#[allow(clippy::assign_op_pattern)] mod fields; mod streams; pub mod multilinear; pub mod multilinear_product; pub mod polynomials; -pub use fields::{BabyBear, F128, F19, F64, M31}; +pub use fields::{BabyBear, FpF64, F128, F19, F64, M31}; pub use streams::BenchStream; From 5608be151a73f29e602f39be3cc3dc801dcf2177 Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Mon, 6 Apr 2026 10:50:31 +0200 Subject: [PATCH 06/52] cleanup --- src/simd_fields/goldilocks/bridge.rs | 108 ----- src/simd_fields/goldilocks/mod.rs | 15 +- src/simd_fields/goldilocks/mont_neon.rs | 5 +- src/simd_fields/goldilocks/neon.rs | 506 ------------------------ src/simd_fields/mod.rs | 37 +- src/simd_sumcheck/dispatch.rs | 285 +++++-------- src/simd_sumcheck/evaluate.rs | 95 ++--- src/simd_sumcheck/micro_bench.rs | 45 +-- src/simd_sumcheck/prove.rs | 62 ++- src/simd_sumcheck/reduce.rs | 70 +--- 10 files changed, 179 insertions(+), 1049 deletions(-) delete mode 100644 src/simd_fields/goldilocks/bridge.rs delete mode 100644 src/simd_fields/goldilocks/neon.rs diff --git a/src/simd_fields/goldilocks/bridge.rs b/src/simd_fields/goldilocks/bridge.rs deleted file mode 100644 index da4febfc..00000000 --- a/src/simd_fields/goldilocks/bridge.rs +++ /dev/null @@ -1,108 +0,0 @@ -//! `SimdAccelerated` implementation for Goldilocks (`F64`). -//! -//! Uses the Montgomery-form NEON backend (`MontGoldilocksNeon`) which operates -//! directly on arkworks' internal representation — zero-cost access, -//! no conversion needed. - -use super::MontGoldilocksSIMD; -use crate::simd_fields::SimdAccelerated; -use crate::tests::F64; - -impl SimdAccelerated for F64 { - type Backend = MontGoldilocksSIMD; - - #[inline(always)] - fn to_raw(val: F64) -> u64 { - // SmallFp { value: u64, _phantom } — direct access to Montgomery-form value. - val.value - } - - #[inline(always)] - fn from_raw(val: u64) -> F64 { - // Construct SmallFp directly from Montgomery-form value (no conversion). - F64::from_raw(val) - } - - #[inline(always)] - fn slice_to_raw(src: &[F64]) -> Vec { - // Zero-cost: SmallFp

is repr-compatible with u64 (value: u64 + ZST PhantomData). - let mut out = Vec::with_capacity(src.len()); - unsafe { - core::ptr::copy_nonoverlapping(src.as_ptr() as *const u64, out.as_mut_ptr(), src.len()); - out.set_len(src.len()); - } - out - } - - #[inline(always)] - fn slice_from_raw(src: &[u64]) -> Vec { - let mut out = Vec::with_capacity(src.len()); - unsafe { - core::ptr::copy_nonoverlapping(src.as_ptr() as *const F64, out.as_mut_ptr(), src.len()); - out.set_len(src.len()); - } - out - } -} - -#[cfg(test)] -mod tests { - use super::*; - use crate::simd_fields::SimdBaseField; - use ark_ff::UniformRand; - use ark_std::test_rng; - - #[test] - fn test_roundtrip() { - let mut rng = test_rng(); - for _ in 0..10_000 { - let f = F64::rand(&mut rng); - let raw = ::to_raw(f); - let back = ::from_raw(raw); - assert_eq!(f, back); - } - } - - #[test] - fn test_slice_roundtrip() { - let mut rng = test_rng(); - let n = 1024; - let original: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - let raw = ::slice_to_raw(&original); - let recovered = ::slice_from_raw(&raw); - assert_eq!(original, recovered); - } - - #[test] - fn test_arithmetic_in_mont_domain() { - let mut rng = test_rng(); - for _ in 0..10_000 { - let a = F64::rand(&mut rng); - let b = F64::rand(&mut rng); - - // Add - let expected_sum = a + b; - let raw_sum = MontGoldilocksSIMD::scalar_add( - ::to_raw(a), - ::to_raw(b), - ); - assert_eq!( - ::from_raw(raw_sum), - expected_sum, - "add mismatch" - ); - - // Mul (Montgomery mul in the raw domain should match arkworks mul) - let expected_prod = a * b; - let raw_prod = MontGoldilocksSIMD::scalar_mul( - ::to_raw(a), - ::to_raw(b), - ); - assert_eq!( - ::from_raw(raw_prod), - expected_prod, - "mul mismatch" - ); - } - } -} diff --git a/src/simd_fields/goldilocks/mod.rs b/src/simd_fields/goldilocks/mod.rs index cc4abe29..bc1df21c 100644 --- a/src/simd_fields/goldilocks/mod.rs +++ b/src/simd_fields/goldilocks/mod.rs @@ -1,18 +1,9 @@ //! Goldilocks field (p = 2^64 - 2^32 + 1) SIMD backends. -#[cfg(target_arch = "aarch64")] -pub mod neon; - #[cfg(target_arch = "aarch64")] pub mod mont_neon; -pub mod bridge; - -/// Canonical-form Goldilocks backend (for SmallFp or direct representation). -#[cfg(target_arch = "aarch64")] -pub use neon::GoldilocksNeon as GoldilocksSIMD; - -/// Montgomery-form Goldilocks backend (for Fp64>). -/// Enables zero-cost `transmute` from arkworks field elements. +/// Montgomery-form Goldilocks backend (for both SmallFp and Fp64). +/// Operates directly on arkworks' internal representation — zero-cost transmute. #[cfg(target_arch = "aarch64")] -pub use mont_neon::MontGoldilocksNeon as MontGoldilocksSIMD; +pub use mont_neon::MontGoldilocksNeon; diff --git a/src/simd_fields/goldilocks/mont_neon.rs b/src/simd_fields/goldilocks/mont_neon.rs index 0b0620e7..e2e7588b 100644 --- a/src/simd_fields/goldilocks/mont_neon.rs +++ b/src/simd_fields/goldilocks/mont_neon.rs @@ -167,14 +167,13 @@ fn mont_mul(a: u64, b: u64) -> u64 { #[cfg(test)] mod tests { use super::*; - use crate::simd_fields::SimdAccelerated; use crate::tests::F64; - use ark_ff::{AdditiveGroup, Field, UniformRand}; + use ark_ff::{AdditiveGroup, UniformRand}; use ark_std::test_rng; /// Get the Montgomery-form value (raw internal representation). fn to_mont(f: F64) -> u64 { - F64::to_raw(f) + f.value } /// Reconstruct F64 from Montgomery-form value. diff --git a/src/simd_fields/goldilocks/neon.rs b/src/simd_fields/goldilocks/neon.rs deleted file mode 100644 index b325a6c2..00000000 --- a/src/simd_fields/goldilocks/neon.rs +++ /dev/null @@ -1,506 +0,0 @@ -//! Goldilocks NEON backend: packed `uint64x2_t` (2 lanes of u64). -//! -//! Goldilocks modulus: P = 2^64 - 2^32 + 1 = 0xFFFF_FFFF_0000_0001 -//! -//! Key property: 2^64 ≡ 2^32 - 1 (mod P), so reduction of a 128-bit -//! product `(hi, lo)` is: `lo + hi * (2^32 - 1)`, with at most two -//! conditional subtractions. - -use core::arch::aarch64::*; - -use super::super::SimdBaseField; - -/// Goldilocks field p = 2^64 - 2^32 + 1 -const P: u64 = 0xFFFF_FFFF_0000_0001; - -/// ε = 2^32 - 1 = 0xFFFF_FFFF, used in reduction: 2^64 ≡ ε (mod P)... wait, -/// actually 2^64 = P + 2^32 - 1, so 2^64 ≡ 2^32 - 1 ≡ ε (mod P). Yes. -const EPSILON: u64 = 0xFFFF_FFFF; - -#[derive(Copy, Clone)] -pub struct GoldilocksNeon; - -impl SimdBaseField for GoldilocksNeon { - type Scalar = u64; - type Packed = uint64x2_t; - const LANES: usize = 2; - const MODULUS: u64 = P; - const ZERO: u64 = 0; - const ONE: u64 = 1; - - #[inline(always)] - fn splat(val: u64) -> uint64x2_t { - unsafe { vdupq_n_u64(val) } - } - - #[inline(always)] - unsafe fn load(ptr: *const u64) -> uint64x2_t { - unsafe { vld1q_u64(ptr) } - } - - #[inline(always)] - unsafe fn store(ptr: *mut u64, v: uint64x2_t) { - unsafe { vst1q_u64(ptr, v) } - } - - #[inline(always)] - fn add(a: uint64x2_t, b: uint64x2_t) -> uint64x2_t { - // (a + b) mod P - // Since a, b < P < 2^64, the sum can overflow u64. - // Strategy: sum = a + b (wrapping). If sum < a, we overflowed. - // Overflowed: result = sum + EPSILON (since 2^64 ≡ ε mod P) - // ... but we also need sum + ε < P check - // Not overflowed: if sum >= P then sum - P, else sum - // - // Equivalent (branchless): let (sum, carry) = a.overflowing_add(b); - // if carry: result = sum + EPSILON (can't overflow again since a,b < P) - // else: if sum >= P then sum - P else sum - // - // NEON approach: use vaddq_u64 for wrapping add, then detect overflow - // via vcltq_u64(sum, a) — if sum < a, overflow occurred. - unsafe { - let sum = vaddq_u64(a, b); - let p_vec = vdupq_n_u64(P); - let eps_vec = vdupq_n_u64(EPSILON); - - // Detect overflow: sum < a means carry occurred - let carry = vcltq_u64(sum, a); - // carry is all-ones (0xFFFF...) in lanes that overflowed - - // If carry: result = sum + EPSILON (overflow path) - // If no carry and sum >= P: result = sum - P - // If no carry and sum < P: result = sum - - // Non-overflow conditional subtract - let geq_p = vcgeq_u64(sum, p_vec); - let sub_p = vsubq_u64(sum, p_vec); - - // When no carry: choose between sum and sum-P - let no_carry_result = vbslq_u64(geq_p, sub_p, sum); - - // When carry: sum + epsilon - let carry_result = vaddq_u64(sum, eps_vec); - - // Select based on carry - vbslq_u64(carry, carry_result, no_carry_result) - } - } - - #[inline(always)] - fn sub(a: uint64x2_t, b: uint64x2_t) -> uint64x2_t { - // (a - b) mod P - // If a >= b: result = a - b (may need no reduction since both < P) - // If a < b: result = a - b + P (wrapping sub, then add P) - // - // But wrapping: diff = a.wrapping_sub(b). If a < b, diff "underflowed". - // Detect: a < b via vcltq_u64(a, b). - // Underflow path: diff + P. Since a,b < P, diff+P is in range. - unsafe { - let diff = vsubq_u64(a, b); - let p_vec = vdupq_n_u64(P); - - // Detect underflow: a < b - let borrow = vcltq_u64(a, b); - - // If borrow: diff + P. Otherwise: diff. - let corrected = vaddq_u64(diff, p_vec); - vbslq_u64(borrow, corrected, diff) - } - } - - #[inline(always)] - fn mul(a: uint64x2_t, b: uint64x2_t) -> uint64x2_t { - // 64×64 → 128-bit multiply, then Goldilocks reduction. - // - // NEON doesn't have a 64×64→128 multiply instruction. - // We decompose into 32-bit pieces: - // a = a_hi * 2^32 + a_lo - // b = b_hi * 2^32 + b_lo - // a*b = a_lo*b_lo + (a_lo*b_hi + a_hi*b_lo)*2^32 + a_hi*b_hi*2^64 - // - // Since 2^64 ≡ ε (mod P) and 2^32 ≡ 2^32 (mod P, since 2^32 < P): - // a*b ≡ a_lo*b_lo + (a_lo*b_hi + a_hi*b_lo)*2^32 + a_hi*b_hi*ε (mod P) - // - // But we need to be careful with carries. It's simpler and more robust - // to compute the full 128-bit product and then reduce. - // - // We process each lane separately since NEON can't do 64×64→128 in one go. - unsafe { - // Extract lanes, multiply, reduce, repack - let a0 = vgetq_lane_u64(a, 0); - let a1 = vgetq_lane_u64(a, 1); - let b0 = vgetq_lane_u64(b, 0); - let b1 = vgetq_lane_u64(b, 1); - - let r0 = goldilocks_mul_scalar(a0, b0); - let r1 = goldilocks_mul_scalar(a1, b1); - - vcombine_u64(vcreate_u64(r0), vcreate_u64(r1)) - } - } - - #[inline(always)] - fn scalar_add(a: u64, b: u64) -> u64 { - let (sum, carry) = a.overflowing_add(b); - if carry { - // 2^64 ≡ ε (mod P) - sum + EPSILON // can't overflow again since a, b < P - } else if sum >= P { - sum - P - } else { - sum - } - } - - #[inline(always)] - fn scalar_sub(a: u64, b: u64) -> u64 { - if a >= b { - a - b - } else { - a.wrapping_sub(b).wrapping_add(P) - } - } - - #[inline(always)] - fn scalar_mul(a: u64, b: u64) -> u64 { - goldilocks_mul_scalar(a, b) - } -} - -/// Full 64×64 → 128-bit multiply with Goldilocks reduction. -/// -/// Computes `(a * b) mod P` where P = 2^64 - 2^32 + 1. -/// -/// Uses the identity: if a*b = hi * 2^64 + lo, then -/// a*b ≡ lo + hi * ε (mod P) where ε = 2^32 - 1 -/// -/// Since hi < 2^64 and ε < 2^32, the product hi * ε < 2^96, -/// so we need to handle the intermediate result carefully. -#[inline(always)] -fn goldilocks_mul_scalar(a: u64, b: u64) -> u64 { - let full = (a as u128) * (b as u128); - let lo = full as u64; - let hi = (full >> 64) as u64; - goldilocks_reduce(lo, hi) -} - -/// Reduce a 128-bit value `(lo + hi * 2^64)` modulo P = 2^64 - 2^32 + 1. -/// -/// Using 2^64 ≡ ε (mod P) where ε = 2^32 - 1: -/// result ≡ lo + hi * ε (mod P) -/// -/// We compute hi * ε = hi * (2^32 - 1) = (hi << 32) - hi, -/// carefully handling the intermediate 96-bit value. -#[inline(always)] -fn goldilocks_reduce(lo: u64, hi: u64) -> u64 { - // hi * ε = hi * 2^32 - hi - // Split: hi_hi = hi >> 32, hi_lo = hi & 0xFFFF_FFFF - // hi * 2^32 = hi_lo * 2^32 + hi_hi * 2^64 - // ≡ hi_lo * 2^32 + hi_hi * ε (mod P) - // ... this recurses. Better: direct computation. - // - // Let's compute step by step: - // hi * ε where ε = 2^32 - 1 - // = (hi << 32) - hi - // - // (hi << 32) can produce a 96-bit value. Let: - // hi_hi = hi >> 32 - // hi_lo = hi & 0xFFFF_FFFF - // - // hi << 32 = hi_lo << 32 | 0 (low 64 bits) + hi_hi (carry into 2^64) - // - // So: hi * 2^32 = (hi_lo << 32) + hi_hi * 2^64 - // hi * ε = (hi_lo << 32) + hi_hi * 2^64 - hi - // ≡ (hi_lo << 32) + hi_hi * ε - hi (mod P) - // - // Since hi_hi < 2^32 and ε < 2^32, hi_hi * ε < 2^64, fits in u64. - // - // Total: lo + (hi_lo << 32) + hi_hi * ε - hi (mod P) - // - // This can still overflow, so we need careful addition. - - let hi_hi = hi >> 32; - let hi_lo = hi & 0xFFFF_FFFF; - - // term1 = hi_lo << 32 (fits in u64, since hi_lo < 2^32) - let term1 = hi_lo << 32; - - // term2 = hi_hi * EPSILON (fits in u64, since hi_hi < 2^32, EPSILON < 2^32) - let term2 = hi_hi * EPSILON; - - // result = lo + term1 + term2 - hi (mod P) - // Do additions first, then subtraction, with overflow handling. - - // lo + term1 - let (s1, c1) = lo.overflowing_add(term1); - // s1 + term2 - let (s2, c2) = s1.overflowing_add(term2); - // Total carry count (0, 1, or 2). Each carry means +ε in the final result. - let carry = (c1 as u64) + (c2 as u64); - - // s2 + carry * EPSILON - hi - // First: s2 + carry * EPSILON - let (s3, c3) = s2.overflowing_add(carry * EPSILON); - let carry2 = c3 as u64; - - // Now subtract hi - let (s4, borrow) = s3.overflowing_sub(hi); - let borrow_val = borrow as u64; - - // Net adjustment: carry2 * EPSILON - borrow_val * P - // But since carry2 ∈ {0,1} and borrow ∈ {0,1}, let's handle: - // result = s4 + carry2 * EPSILON (from overflow in s3) - // + borrow_val * P (to compensate underflow in s4) - // Wait: if borrow, the true value is s4 + 2^64 - hi_val = s4 + ε (mod P). - // No: s3 - hi. If borrow, true value = s3 - hi + 2^64 ≡ s4 + ε + 1 (mod P)? - // 2^64 mod P = ε + 1? No. 2^64 = P + 2^32 - 1 = P + ε, so 2^64 ≡ ε (mod P). - // Hmm, P = 2^64 - 2^32 + 1, so 2^64 = P + 2^32 - 1 = P + ε. - // So 2^64 ≡ ε ≡ EPSILON (mod P). ← Wait that's wrong. - // P = 2^64 - ε - 1? Let me recheck. P = 2^64 - 2^32 + 1. - // 2^64 = P + 2^32 - 1 = P + EPSILON. - // So 2^64 mod P = EPSILON. - // No wait: EPSILON = 2^32 - 1 = 0xFFFF_FFFF. - // P = 2^64 - 2^32 + 1 = 2^64 - EPSILON - 1. - // Hmm, 2^64 = P + EPSILON + 1? Let me just compute: - // 2^64 - P = 2^64 - (2^64 - 2^32 + 1) = 2^32 - 1 = EPSILON. - // So 2^64 ≡ EPSILON (mod P)? No: - // 2^64 = 1 * P + EPSILON. So 2^64 mod P = EPSILON. ← Wait: - // P = 18446744069414584321 - // 2^64 = 18446744073709551616 - // 2^64 - P = 18446744073709551616 - 18446744069414584321 = 4294967295 = 0xFFFF_FFFF = EPSILON - // Yes! 2^64 mod P = EPSILON. - - // So if s3 overflowed (carry2=1), add EPSILON. - // If subtraction borrowed (borrow_val=1), we need s4 + 2^64 (mod P) => s4 + EPSILON. - // Wait, that's not right either. Borrow means the true mathematical result is - // s3 - hi + 2^64. mod P, that's s4 + EPSILON. - // - // But the carry2 case: s2 + carry*ε overflowed, so the true value is - // s3 + 2^64. mod P, that's s3 + EPSILON. - // We already set s3 = the overflow result, and carry2 flags the overflow. - // - // Net: s4 + carry2 * EPSILON + borrow_val * EPSILON - // = s4 + (carry2 + borrow_val) * EPSILON - // - // Hmm, but borrow means we subtracted too much, so we should ADD back, not add EPSILON. - // Let me re-derive: - // After carry step: true value = s3 + carry2 * 2^64 ≡ s3 + carry2 * EPSILON (mod P) - // After sub step: true value = (s3 + carry2*2^64) - hi - // = s4 + borrow * 2^64 + carry2 * 2^64 - // Wait no. Let me be more careful. - // - // Let V = s2 + carry * EPSILON (mathematical, could be > 2^64) - // s3 = V mod 2^64, carry2 = V >= 2^64 - // So V = s3 + carry2 * 2^64 - // - // Let W = V - hi = s3 + carry2 * 2^64 - hi - // s4 = s3.wrapping_sub(hi), borrow = s3 < hi - // s4 = s3 - hi + borrow * 2^64 - // So s3 - hi = s4 - borrow * 2^64 - // W = s4 - borrow * 2^64 + carry2 * 2^64 - // = s4 + (carry2 - borrow) * 2^64 - // ≡ s4 + (carry2 - borrow) * EPSILON (mod P) - // - // carry2 - borrow ∈ {-1, 0, 1} - // If +1: add EPSILON - // If 0: done - // If -1: subtract EPSILON (equivalently, add P - EPSILON = 2^64 - 2*EPSILON) - // ... but simpler: add P (since subtracting EPSILON when result could underflow) - - let adj = (carry2 as i64) - (borrow_val as i64); - if adj > 0 { - let (r, overflow) = s4.overflowing_add(EPSILON); - if overflow || r >= P { - r.wrapping_sub(P) - } else { - r - } - } else if adj < 0 { - // s4 - EPSILON; if underflow, add P - if s4 >= EPSILON { - let r = s4 - EPSILON; - if r >= P { - r - P - } else { - r - } - } else { - // s4 - EPSILON + P = s4 + (P - EPSILON) = s4 + 2^64 - 2*EPSILON - // P - EPSILON = 2^64 - 2^32 + 1 - (2^32 - 1) = 2^64 - 2^33 + 2 - // That doesn't look right for a simple formula. Let's just do: - s4.wrapping_sub(EPSILON).wrapping_add(P) - } - } else { - // adj == 0 - if s4 >= P { - s4 - P - } else { - s4 - } - } -} - -#[cfg(test)] -mod tests { - use super::*; - use ark_ff::UniformRand; - use ark_std::test_rng; - - // Use the existing Goldilocks (F64) field from the test module for reference - use crate::tests::F64; - - /// Convert an arkworks F64 element to its raw u64 representative in [0, P). - fn to_raw(f: F64) -> u64 { - use ark_ff::PrimeField; - // BigInt -> u64 - let big = f.into_bigint(); - big.0[0] - } - - #[test] - fn test_scalar_add() { - let mut rng = test_rng(); - for _ in 0..10_000 { - let a = F64::rand(&mut rng); - let b = F64::rand(&mut rng); - let expected = to_raw(a + b); - let received = GoldilocksNeon::scalar_add(to_raw(a), to_raw(b)); - assert_eq!( - expected, - received, - "add failed for a={}, b={}", - to_raw(a), - to_raw(b) - ); - } - } - - #[test] - fn test_scalar_sub() { - let mut rng = test_rng(); - for _ in 0..10_000 { - let a = F64::rand(&mut rng); - let b = F64::rand(&mut rng); - let expected = to_raw(a - b); - let received = GoldilocksNeon::scalar_sub(to_raw(a), to_raw(b)); - assert_eq!( - expected, - received, - "sub failed for a={}, b={}", - to_raw(a), - to_raw(b) - ); - } - } - - #[test] - fn test_scalar_mul() { - let mut rng = test_rng(); - for _ in 0..10_000 { - let a = F64::rand(&mut rng); - let b = F64::rand(&mut rng); - let expected = to_raw(a * b); - let received = GoldilocksNeon::scalar_mul(to_raw(a), to_raw(b)); - assert_eq!( - expected, - received, - "mul failed for a={}, b={}", - to_raw(a), - to_raw(b) - ); - } - } - - #[test] - fn test_neon_add() { - let mut rng = test_rng(); - for _ in 0..5_000 { - let a0 = F64::rand(&mut rng); - let a1 = F64::rand(&mut rng); - let b0 = F64::rand(&mut rng); - let b1 = F64::rand(&mut rng); - - let a_raw = [to_raw(a0), to_raw(a1)]; - let b_raw = [to_raw(b0), to_raw(b1)]; - - let a_v = unsafe { GoldilocksNeon::load(a_raw.as_ptr()) }; - let b_v = unsafe { GoldilocksNeon::load(b_raw.as_ptr()) }; - let r_v = GoldilocksNeon::add(a_v, b_v); - - let mut result = [0u64; 2]; - unsafe { GoldilocksNeon::store(result.as_mut_ptr(), r_v) }; - - assert_eq!(result[0], to_raw(a0 + b0)); - assert_eq!(result[1], to_raw(a1 + b1)); - } - } - - #[test] - fn test_neon_sub() { - let mut rng = test_rng(); - for _ in 0..5_000 { - let a0 = F64::rand(&mut rng); - let a1 = F64::rand(&mut rng); - let b0 = F64::rand(&mut rng); - let b1 = F64::rand(&mut rng); - - let a_raw = [to_raw(a0), to_raw(a1)]; - let b_raw = [to_raw(b0), to_raw(b1)]; - - let a_v = unsafe { GoldilocksNeon::load(a_raw.as_ptr()) }; - let b_v = unsafe { GoldilocksNeon::load(b_raw.as_ptr()) }; - let r_v = GoldilocksNeon::sub(a_v, b_v); - - let mut result = [0u64; 2]; - unsafe { GoldilocksNeon::store(result.as_mut_ptr(), r_v) }; - - assert_eq!(result[0], to_raw(a0 - b0)); - assert_eq!(result[1], to_raw(a1 - b1)); - } - } - - #[test] - fn test_neon_mul() { - let mut rng = test_rng(); - for _ in 0..5_000 { - let a0 = F64::rand(&mut rng); - let a1 = F64::rand(&mut rng); - let b0 = F64::rand(&mut rng); - let b1 = F64::rand(&mut rng); - - let a_raw = [to_raw(a0), to_raw(a1)]; - let b_raw = [to_raw(b0), to_raw(b1)]; - - let a_v = unsafe { GoldilocksNeon::load(a_raw.as_ptr()) }; - let b_v = unsafe { GoldilocksNeon::load(b_raw.as_ptr()) }; - let r_v = GoldilocksNeon::mul(a_v, b_v); - - let mut result = [0u64; 2]; - unsafe { GoldilocksNeon::store(result.as_mut_ptr(), r_v) }; - - assert_eq!(result[0], to_raw(a0 * b0)); - assert_eq!(result[1], to_raw(a1 * b1)); - } - } - - #[test] - fn test_edge_cases() { - // Test with boundary values - let zero = 0u64; - let one = 1u64; - let p_minus_1 = P - 1; - - // 0 + 0 = 0 - assert_eq!(GoldilocksNeon::scalar_add(zero, zero), zero); - // 0 * anything = 0 - assert_eq!(GoldilocksNeon::scalar_mul(zero, p_minus_1), zero); - // 1 * x = x - assert_eq!(GoldilocksNeon::scalar_mul(one, p_minus_1), p_minus_1); - // (P-1) + 1 = 0 - assert_eq!(GoldilocksNeon::scalar_add(p_minus_1, one), zero); - // 0 - 1 = P - 1 - assert_eq!(GoldilocksNeon::scalar_sub(zero, one), p_minus_1); - // (P-1) * (P-1) = 1 - assert_eq!(GoldilocksNeon::scalar_mul(p_minus_1, p_minus_1), one); - } -} diff --git a/src/simd_fields/mod.rs b/src/simd_fields/mod.rs index 1a259086..cf2638d2 100644 --- a/src/simd_fields/mod.rs +++ b/src/simd_fields/mod.rs @@ -1,7 +1,9 @@ //! SIMD-vectorized field arithmetic using native intrinsics. //! //! Each base field provides platform-specific implementations of add, sub, mul -//! operating on packed SIMD vectors. +//! operating on packed SIMD vectors. Currently supports: +//! +//! - **Goldilocks** (p = 2^64 − 2^32 + 1) via NEON on aarch64. pub mod goldilocks; @@ -69,36 +71,3 @@ pub trait SimdBaseField: Copy + Send + Sync + Sized + 'static { /// Scalar modular multiplication (non-vectorized, for reductions). fn scalar_mul(a: Self::Scalar, b: Self::Scalar) -> Self::Scalar; } - -/// Bridge trait: connects an arkworks `Field` type to its SIMD backend. -/// -/// Implement this for any arkworks field type (e.g., `Fp64>`) -/// to enable compile-time dispatch to the SIMD sumcheck path. -/// -/// The conversion functions handle the representation difference -/// (e.g., Montgomery form → canonical) at the sumcheck boundary. -/// This is an O(n) one-time cost that's amortized over the O(n log n) sumcheck. -pub trait SimdAccelerated: ark_ff::Field + Sized { - /// The SIMD backend for this field. - type Backend: SimdBaseField; - - /// Convert from arkworks field element to raw scalar. - fn to_raw(val: Self) -> ::Scalar; - - /// Convert from raw scalar to arkworks field element. - fn from_raw(val: ::Scalar) -> Self; - - /// Bulk convert a slice of arkworks elements to raw scalars. - /// - /// Default implementation calls `to_raw` element-wise. - /// Override for zero-cost `transmute` when the representations match - /// (e.g., `SmallFp` backends where internal repr IS the canonical value). - fn slice_to_raw(src: &[Self]) -> Vec<::Scalar> { - src.iter().map(|x| Self::to_raw(*x)).collect() - } - - /// Bulk convert raw scalars back to arkworks elements. - fn slice_from_raw(src: &[::Scalar]) -> Vec { - src.iter().map(|x| Self::from_raw(*x)).collect() - } -} diff --git a/src/simd_sumcheck/dispatch.rs b/src/simd_sumcheck/dispatch.rs index 7cafce07..ded55dc0 100644 --- a/src/simd_sumcheck/dispatch.rs +++ b/src/simd_sumcheck/dispatch.rs @@ -1,250 +1,147 @@ //! SIMD auto-dispatch for the multilinear sumcheck protocol. //! -//! When `BF == EF == Goldilocks F64`, the sumcheck is transparently routed -//! to a double-buffered Montgomery-arithmetic backend using NEON intrinsics. +//! When `BF == EF` and both are a Goldilocks field (p = 2^64 − 2^32 + 1) +//! stored as a single `u64` in Montgomery form, the sumcheck is transparently +//! routed to a NEON-accelerated backend. //! -//! The TypeId checks evaluate to compile-time constants in monomorphized code, -//! so LLVM eliminates the dead branch — zero cost for non-matching types. +//! Detection uses [`Field::BasePrimeField::MODULUS`] from arkworks — no +//! concrete type names are referenced. After monomorphization the check +//! is constant-folded by LLVM, so the dead branch is eliminated entirely. use ark_ff::Field; use crate::multilinear::Sumcheck; use crate::transcript::Transcript; -#[cfg(target_arch = "aarch64")] -use crate::simd_fields::goldilocks::mont_neon::MontGoldilocksNeon as MontBackend; -#[cfg(target_arch = "aarch64")] -use crate::simd_fields::SimdBaseField; +/// Goldilocks modulus: p = 2^64 − 2^32 + 1. +const GOLDILOCKS_P: u64 = 0xFFFF_FFFF_0000_0001; -/// Returns `true` when `T` is a Goldilocks field type (q = 2^64 - 2^32 + 1) -/// stored as a single Montgomery-form `u64`. +/// Returns `true` when `F` is a Goldilocks prime field stored as a +/// single `u64` in Montgomery form. /// -/// Matches **both** representations: -/// - `SmallFp` (via `define_field!`) — bare `u64` + PhantomData -/// - `Fp64>` (via `MontConfig`) — `BigInt<1>` + PhantomData +/// The check uses only the [`Field`] trait (via `BasePrimeField: PrimeField`): /// -/// Both have identical memory layout (one `u64` in Montgomery form), -/// so the SIMD arithmetic works for either. +/// 1. `extension_degree() == 1` — must be a prime field, not an extension. +/// 2. `size_of::() == 8` — the element must be a single `u64` +/// (true for both `SmallFp

` and `Fp64>`). +/// 3. The modulus value equals `GOLDILOCKS_P`. /// -/// This is a compile-time constant after monomorphization — LLVM -/// eliminates the dead branch entirely (zero runtime cost). +/// After monomorphization every operand is a compile-time constant, +/// so LLVM folds the entire function to `true` or `false`. #[cfg(target_arch = "aarch64")] #[inline(always)] -fn is_goldilocks_f64() -> bool { - use crate::tests::FpF64; - use crate::tests::F64; // SmallFp // Fp64> - let tid = std::any::TypeId::of::(); - tid == std::any::TypeId::of::() || tid == std::any::TypeId::of::() +fn is_goldilocks() -> bool { + use ark_ff::PrimeField; // for MODULUS on BasePrimeField + + if F::extension_degree() != 1 { + return false; + } + if core::mem::size_of::() != core::mem::size_of::() { + return false; + } + if F::BasePrimeField::MODULUS_BIT_SIZE != 64 { + return false; + } + let modulus = F::BasePrimeField::MODULUS; + let limbs: &[u64] = modulus.as_ref(); + limbs[0] == GOLDILOCKS_P && limbs[1..].iter().all(|&x| x == 0) } // ─── Auto-dispatch ────────────────────────────────────────────────────────── -/// Try to dispatch to the SIMD backend when `BF == EF` and `BF` is a known -/// SIMD-accelerated type (currently: Goldilocks F64). +/// Try to run the multilinear sumcheck on the SIMD backend. +/// +/// Returns `Some(result)` if `BF == EF` is a recognised SIMD-accelerated +/// type (currently: Goldilocks). Returns `None` otherwise, letting the +/// caller fall through to the generic path. /// -/// Returns `Some(result)` if the SIMD path was taken, `None` otherwise. +/// # Safety invariant /// -/// Zero allocation: transmutes `&mut [BF]` → `&mut [u64]` in-place. -/// The TypeId checks are compile-time constants in monomorphized code. +/// When `is_goldilocks::()` is true we transmute `&[BF]` ↔ `&[u64]`. +/// This relies on `SmallFp

` (and `Fp64>`) having +/// the same in-memory layout as a bare `u64` — guaranteed in practice +/// because the only non-ZST field is `value: u64` (resp. `BigInt<1>([u64; 1])`). +/// A formal guarantee would require `#[repr(transparent)]` on those +/// structs or the `zerocopy` crate; until then the `size_of` check +/// provides a compile-time safety net. #[cfg(target_arch = "aarch64")] pub(crate) fn try_simd_dispatch>( evaluations: &mut [BF], transcript: &mut impl Transcript, ) -> Option> { - if !(is_goldilocks_f64::() && is_goldilocks_f64::()) { + if !(is_goldilocks::() && is_goldilocks::()) { return None; } - // BF == EF == F64 (verified via TypeId). - - // SAFETY: F64 is repr-transparent over u64 (Montgomery form). - // Zero-copy transmute — work directly on the caller's buffer. - let buf: &mut [u64] = unsafe { - core::slice::from_raw_parts_mut(evaluations.as_mut_ptr() as *mut u64, evaluations.len()) - }; - - // Single closure for transcript round-step: write (s0, s1), return challenge. - let result_f64 = simd_sumcheck_inplace(buf, |s0, s1| { - let s0_ef: EF = unsafe { core::mem::transmute_copy(&s0) }; - let s1_ef: EF = unsafe { core::mem::transmute_copy(&s1) }; - transcript.write(s0_ef); - transcript.write(s1_ef); - let chg_ef: EF = transcript.read(); - unsafe { core::mem::transmute_copy(&chg_ef) } - }); - - // Cast Sumcheck → Sumcheck. - let result: Sumcheck = Sumcheck { - verifier_messages: unsafe { - core::mem::transmute::, Vec>(result_f64.verifier_messages) - }, - prover_messages: unsafe { - core::mem::transmute::, Vec<(EF, EF)>>( - result_f64.prover_messages, - ) - }, + // ── Compile-time size sanity ──────────────────────────────────────── + // If the size check above somehow passed for a type whose layout + // doesn't match u64, this assert will fire at compile time (const). + assert!( + core::mem::size_of::() == 8 && core::mem::size_of::() == 8, + "Goldilocks dispatch: field element size must be 8 bytes" + ); + + use crate::simd_fields::goldilocks::mont_neon::MontGoldilocksNeon; + use crate::simd_sumcheck::evaluate::evaluate_parallel; + use crate::simd_sumcheck::reduce::reduce_parallel; + + // SAFETY: BF/EF are Goldilocks, size_of == 8, layout-compatible with u64. + let buf: &[u64] = unsafe { + core::slice::from_raw_parts(evaluations.as_ptr() as *const u64, evaluations.len()) }; - Some(result) -} - -// ─── Double-buffered sumcheck loop ────────────────────────────────────────── - -/// Double-buffered SIMD sumcheck over raw Montgomery-form `u64` values. -/// -/// Pre-allocates one extra buffer of size `n/2`. Each round reads from one -/// buffer and reduces into the other. Since src/dst are non-overlapping, -/// parallel writes via `par_chunks_mut` are trivially safe. -/// -/// Memory cost: one allocation of `n/2 * 8` bytes at the start. Zero per-round. -#[cfg(target_arch = "aarch64")] -fn simd_sumcheck_inplace( - buf: &mut [u64], - mut round_step: impl FnMut(crate::tests::F64, crate::tests::F64) -> crate::tests::F64, -) -> Sumcheck { - use crate::simd_fields::SimdAccelerated; - use crate::tests::F64; - let n = buf.len(); let num_rounds = n.trailing_zeros() as usize; - let mut prover_messages: Vec<(F64, F64)> = Vec::with_capacity(num_rounds); - let mut verifier_messages: Vec = Vec::with_capacity(num_rounds); - - // Second buffer for double-buffering (only n/2 needed). - let mut buf_b: Vec = vec![0u64; n / 2]; + let mut prover_messages: Vec<(EF, EF)> = Vec::with_capacity(num_rounds); + let mut verifier_messages: Vec = Vec::with_capacity(num_rounds); - // Track which buffer holds the current data. - let mut active_len = n; - let mut read_from_a = true; // true = data in buf (a), false = data in buf_b (b) + let mut current = buf.to_vec(); for round in 0..num_rounds { - let half = active_len / 2; + // ── Evaluate: SIMD-vectorized even/odd sums ──────────────────── + let (s0, s1) = evaluate_parallel::(¤t); - // ── Evaluate: sum even/odd elements from the current buffer ── - let src = if read_from_a { - &buf[..active_len] - } else { - &buf_b[..active_len] - }; - let (s0, s1) = simd_evaluate(src); + let s0_ef: EF = u64_to_field(s0); + let s1_ef: EF = u64_to_field(s1); - let msg_s0 = F64::from_raw(s0); - let msg_s1 = F64::from_raw(s1); + prover_messages.push((s0_ef, s1_ef)); + transcript.write(s0_ef); + transcript.write(s1_ef); - prover_messages.push((msg_s0, msg_s1)); - let challenge = round_step(msg_s0, msg_s1); - verifier_messages.push(challenge); + // ── Reduce: fold with verifier challenge ─────────────────────── + let chg_ef: EF = transcript.read(); + verifier_messages.push(chg_ef); - // ── Reduce: read from current buffer, write to the other ── if round < num_rounds - 1 { - let c = F64::to_raw(challenge); - if read_from_a { - simd_reduce_double(&buf[..active_len], &mut buf_b[..half], c); - } else { - simd_reduce_double(&buf_b[..active_len], &mut buf[..half], c); - } - active_len = half; - read_from_a = !read_from_a; + let chg: u64 = field_to_u64(chg_ef); + current = reduce_parallel::(¤t, chg); } } - Sumcheck { + Some(Sumcheck { verifier_messages, prover_messages, - } + }) } -// ─── SIMD evaluate & reduce: Montgomery ops, double-buffered ──────────────── +// ─── Helpers: field ↔ u64 conversion ──────────────────────────────────────── -/// Sum even-indexed and odd-indexed elements. +/// Reinterpret a Montgomery-form `u64` as a field element. /// -/// Each rayon task sums a 16K-pair chunk with fast Montgomery adds. +/// Precondition: `F` is Goldilocks with `size_of::() == 8`. #[cfg(target_arch = "aarch64")] -fn simd_evaluate(evals: &[u64]) -> (u64, u64) { - #[cfg(feature = "parallel")] - { - use rayon::prelude::*; - - evals - .par_chunks(16_384 * 2) - .map(|chunk| { - let mut s0 = MontBackend::ZERO; - let mut s1 = MontBackend::ZERO; - let mut i = 0; - while i + 1 < chunk.len() { - s0 = MontBackend::scalar_add(s0, chunk[i]); - s1 = MontBackend::scalar_add(s1, chunk[i + 1]); - i += 2; - } - (s0, s1) - }) - .reduce( - || (MontBackend::ZERO, MontBackend::ZERO), - |(a0, a1), (b0, b1)| { - ( - MontBackend::scalar_add(a0, b0), - MontBackend::scalar_add(a1, b1), - ) - }, - ) - } - - #[cfg(not(feature = "parallel"))] - { - let mut s0 = MontBackend::ZERO; - let mut s1 = MontBackend::ZERO; - let mut i = 0; - while i + 1 < evals.len() { - s0 = MontBackend::scalar_add(s0, evals[i]); - s1 = MontBackend::scalar_add(s1, evals[i + 1]); - i += 2; - } - (s0, s1) - } +#[inline(always)] +fn u64_to_field(raw: u64) -> F { + debug_assert_eq!(core::mem::size_of::(), 8); + unsafe { core::mem::transmute_copy(&raw) } } -/// Double-buffered pairwise reduce: read from `src`, write to `dst`. +/// Reinterpret a field element as its Montgomery-form `u64`. /// -/// `dst[i] = src[2i] + c * (src[2i+1] - src[2i])` -/// -/// Since `src` and `dst` are non-overlapping slices: -/// - parallel writes to `dst` via `par_chunks_mut` are trivially safe -/// - reads from `src` are shared immutable references -/// - zero per-round allocation, no `unsafe` +/// Precondition: `F` is Goldilocks with `size_of::() == 8`. #[cfg(target_arch = "aarch64")] -fn simd_reduce_double(src: &[u64], dst: &mut [u64], c: u64) { - let half = dst.len(); - debug_assert!(src.len() >= 2 * half); - - #[cfg(feature = "parallel")] - { - use rayon::prelude::*; - - // 16K output elements per rayon task (reads 32K input elements). - let chunk_size = 16_384; - - dst.par_chunks_mut(chunk_size) - .enumerate() - .for_each(|(chunk_idx, dst_chunk)| { - let src_offset = chunk_idx * chunk_size * 2; - for i in 0..dst_chunk.len() { - let a = src[src_offset + 2 * i]; - let b = src[src_offset + 2 * i + 1]; - let diff = MontBackend::scalar_sub(b, a); - let scaled = MontBackend::scalar_mul(c, diff); - dst_chunk[i] = MontBackend::scalar_add(a, scaled); - } - }); - } - - #[cfg(not(feature = "parallel"))] - { - for i in 0..half { - let a = src[2 * i]; - let b = src[2 * i + 1]; - let diff = MontBackend::scalar_sub(b, a); - let scaled = MontBackend::scalar_mul(c, diff); - dst[i] = MontBackend::scalar_add(a, scaled); - } - } +#[inline(always)] +fn field_to_u64(val: F) -> u64 { + debug_assert_eq!(core::mem::size_of::(), 8); + unsafe { core::mem::transmute_copy(&val) } } diff --git a/src/simd_sumcheck/evaluate.rs b/src/simd_sumcheck/evaluate.rs index da2a8996..5e5f3d09 100644 --- a/src/simd_sumcheck/evaluate.rs +++ b/src/simd_sumcheck/evaluate.rs @@ -14,21 +14,9 @@ use crate::simd_fields::SimdBaseField; /// /// # Panics /// -/// Panics if `src.len()` is not a multiple of `8 * F::LANES` (the unroll factor). -/// In production, the caller should pad to this alignment. +/// Panics if `src.len()` is not a multiple of `4 * F::LANES` (the unroll factor). pub fn evaluate(src: &[F::Scalar]) -> (F::Scalar, F::Scalar) { let lanes = F::LANES; - // Interleaved layout: even indices go to even_acc, odd indices to odd_acc. - // With LANES=2 (Goldilocks NEON), a single load of 2 elements gives - // one even and one odd. But the pairwise layout puts elements contiguously, - // so we need to load 2*LANES elements and split even/odd. - // - // Instead, we use the simpler approach: load LANES-wide vectors and - // accumulate. The first load is "even", the second is "odd", repeating. - // - // With 4-way unroll: we process 4*LANES scalars per iteration. - // Each iteration: 4 loads, 4 adds. - let step = 4 * lanes; assert!( src.len() % step == 0 || src.is_empty(), @@ -56,44 +44,13 @@ pub fn evaluate(src: &[F::Scalar]) -> (F::Scalar, F::Scalar) { i += step; } - // Combine accumulators: acc0, acc2 are "even groups", acc1, acc3 are "odd groups". - // Wait — that's not right. The layout is contiguous: - // [0..LANES) [LANES..2*LANES) [2*LANES..3*LANES) [3*LANES..4*LANES) - // - // With pairwise storage [f(0), f(1), f(2), f(3), ...], and LANES=2: - // acc0 = [f(0)+f(4)+..., f(1)+f(5)+...] - // acc1 = [f(2)+f(6)+..., f(3)+f(7)+...] - // etc. - // - // So all accumulators mix even and odd. We need to reduce them lane-by-lane. - // Combine: total = acc0 + acc1 + acc2 + acc3 (element-wise) + // Combine accumulators element-wise. + // With LANES=2 and pairwise storage [f(0), f(1), f(2), f(3), ...]: + // each load of 2 elements gives lane 0 = even-indexed, lane 1 = odd-indexed. + // After accumulating: total[0] = sum of all even-indexed, total[1] = sum of all odd-indexed. let total = F::add(F::add(acc0, acc1), F::add(acc2, acc3)); - // Now `total` has LANES values. For pairwise semantics with the interleaved - // storage [f(0), f(1), f(2), f(3), ...], each pair of adjacent elements - // contributes: - // lane 0: sum of f(0), f(2), f(4), ... (even-indexed in each LANES-group) - // lane 1: sum of f(1), f(3), f(5), ... (odd-indexed in each LANES-group) - // - // Hmm, this only works cleanly if LANES=2. For LANES>2 (AVX), we need - // a different decomposition. Let me think about this more carefully. - // - // Actually, the pairwise evaluation sums even-indexed and odd-indexed elements - // from the ORIGINAL array. With LANES=2: - // Load [f(0), f(1)] → lane 0 is even, lane 1 is odd - // Load [f(2), f(3)] → lane 0 is even, lane 1 is odd - // - // So after accumulating, total[0] = sum of all even-indexed, total[1] = sum of all odd-indexed. - // This is exactly what we want! - // - // For LANES=4 (AVX2 with u64): - // Load [f(0), f(1), f(2), f(3)] → lanes 0,2 are even, lanes 1,3 are odd - // - // So for general LANES: even lanes (0, 2, 4, ...) sum to even_total, - // odd lanes (1, 3, 5, ...) sum to odd_total. - - // Extract lanes and sum them appropriately. - // Store total to a temporary array, then sum even/odd lanes scalar-wise. + // Extract lanes and sum even/odd groups. let mut lanes_buf: Vec = vec![F::ZERO; F::LANES]; unsafe { F::store(lanes_buf.as_mut_ptr(), total) }; @@ -118,14 +75,11 @@ pub fn evaluate(src: &[F::Scalar]) -> (F::Scalar, F::Scalar) { pub fn evaluate_parallel(src: &[F::Scalar]) -> (F::Scalar, F::Scalar) { use rayon::prelude::*; - let chunk_size: usize = 32_768; // number of scalars per chunk + let chunk_size: usize = 32_768; let lanes = F::LANES; let step = 4 * lanes; - - // Round chunk size up to multiple of step let chunk_size = chunk_size.div_ceil(step) * step; - // For small inputs, use the aligned+tail scalar approach directly if src.len() <= chunk_size { let aligned_len = (src.len() / step) * step; let (mut even, mut odd) = if aligned_len > 0 { @@ -145,10 +99,8 @@ pub fn evaluate_parallel(src: &[F::Scalar]) -> (F::Scalar, F:: src.par_chunks(chunk_size) .map(|chunk| { - // Handle last chunk that may not be aligned let aligned_len = (chunk.len() / step) * step; if aligned_len == 0 { - // Scalar fallback for tiny remainder let mut even = F::ZERO; let mut odd = F::ZERO; for (i, &val) in chunk.iter().enumerate() { @@ -161,7 +113,6 @@ pub fn evaluate_parallel(src: &[F::Scalar]) -> (F::Scalar, F:: (even, odd) } else { let (e, o) = evaluate::(&chunk[..aligned_len]); - // Handle remainder scalarly let mut even = e; let mut odd = o; for (i, &val) in chunk.iter().enumerate().skip(aligned_len) { @@ -207,13 +158,14 @@ pub fn evaluate_parallel(src: &[F::Scalar]) -> (F::Scalar, F:: #[cfg(test)] mod tests { use super::*; - use crate::simd_fields::goldilocks::neon::GoldilocksNeon; + use crate::simd_fields::goldilocks::mont_neon::MontGoldilocksNeon; use crate::tests::F64; - use ark_ff::{PrimeField, UniformRand}; + use ark_ff::UniformRand; use ark_std::test_rng; - fn to_raw(f: F64) -> u64 { - f.into_bigint().0[0] + /// Get the Montgomery-form raw value for SIMD operations. + fn to_mont(f: F64) -> u64 { + f.value } #[test] @@ -221,19 +173,18 @@ mod tests { use crate::multilinear::reductions::pairwise; let mut rng = test_rng(); - // Length must be multiple of 4*LANES = 8 for non-parallel evaluate - let n = 1 << 16; // 65536 + let n = 1 << 16; let evals_ff: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - let evals_raw: Vec = evals_ff.iter().map(|f| to_raw(*f)).collect(); + let evals_raw: Vec = evals_ff.iter().map(|f| to_mont(*f)).collect(); // Reference: arkworks pairwise evaluate let (expected_even, expected_odd) = pairwise::evaluate(&evals_ff); - // SIMD evaluate - let (simd_even, simd_odd) = evaluate::(&evals_raw); + // SIMD evaluate (Montgomery domain) + let (simd_even, simd_odd) = evaluate::(&evals_raw); - assert_eq!(to_raw(expected_even), simd_even, "even sum mismatch"); - assert_eq!(to_raw(expected_odd), simd_odd, "odd sum mismatch"); + assert_eq!(to_mont(expected_even), simd_even, "even sum mismatch"); + assert_eq!(to_mont(expected_odd), simd_odd, "odd sum mismatch"); } #[test] @@ -241,18 +192,18 @@ mod tests { use crate::multilinear::reductions::pairwise; let mut rng = test_rng(); - let n = 1 << 20; // ~1M elements, enough to trigger parallel chunks + let n = 1 << 20; let evals_ff: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - let evals_raw: Vec = evals_ff.iter().map(|f| to_raw(*f)).collect(); + let evals_raw: Vec = evals_ff.iter().map(|f| to_mont(*f)).collect(); let (expected_even, expected_odd) = pairwise::evaluate(&evals_ff); - let (simd_even, simd_odd) = evaluate_parallel::(&evals_raw); + let (simd_even, simd_odd) = evaluate_parallel::(&evals_raw); assert_eq!( - to_raw(expected_even), + to_mont(expected_even), simd_even, "parallel even sum mismatch" ); - assert_eq!(to_raw(expected_odd), simd_odd, "parallel odd sum mismatch"); + assert_eq!(to_mont(expected_odd), simd_odd, "parallel odd sum mismatch"); } } diff --git a/src/simd_sumcheck/micro_bench.rs b/src/simd_sumcheck/micro_bench.rs index 018cd05e..cee8d239 100644 --- a/src/simd_sumcheck/micro_bench.rs +++ b/src/simd_sumcheck/micro_bench.rs @@ -4,10 +4,10 @@ #[cfg(test)] mod tests { - use crate::simd_fields::goldilocks::neon::GoldilocksNeon; + use crate::simd_fields::goldilocks::mont_neon::MontGoldilocksNeon; use crate::simd_fields::SimdBaseField; use crate::tests::F64; - use ark_ff::{Field, PrimeField, UniformRand}; + use ark_ff::UniformRand; use ark_std::test_rng; #[test] @@ -18,10 +18,9 @@ mod tests { let mut rng = test_rng(); let a_ff: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); let b_ff: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - let a_raw: Vec = a_ff.iter().map(|f| f.value).collect(); - let b_raw: Vec = b_ff.iter().map(|f| f.value).collect(); + let a_mont: Vec = a_ff.iter().map(|f| f.value).collect(); + let b_mont: Vec = b_ff.iter().map(|f| f.value).collect(); - // Warm up let mut sink = 0u64; // === Arkworks multiply === @@ -38,33 +37,11 @@ mod tests { arkworks_time.as_nanos() as f64 / (n * iters) as f64 ); - // === Our Goldilocks scalar multiply === - let start = std::time::Instant::now(); - for _ in 0..iters { - for i in 0..n { - sink ^= GoldilocksNeon::scalar_mul(a_raw[i], b_raw[i]); - } - } - let goldilocks_time = start.elapsed(); - println!( - "Goldilocks scalar mul: {:?} ({} muls)", - goldilocks_time, - n * iters - ); - println!( - " per mul: {:.1}ns", - goldilocks_time.as_nanos() as f64 / (n * iters) as f64 - ); - - // === Montgomery Goldilocks scalar multiply === - let a_mont: Vec = a_ff.iter().map(|f| f.value).collect(); - let b_mont: Vec = b_ff.iter().map(|f| f.value).collect(); + // === Montgomery SIMD scalar multiply === let start = std::time::Instant::now(); for _ in 0..iters { for i in 0..n { - sink ^= crate::simd_fields::goldilocks::MontGoldilocksSIMD::scalar_mul( - a_mont[i], b_mont[i], - ); + sink ^= MontGoldilocksNeon::scalar_mul(a_mont[i], b_mont[i]); } } let mont_time = start.elapsed(); @@ -92,18 +69,18 @@ mod tests { arkworks_add_time.as_nanos() as f64 / (n * iters) as f64 ); - // === Our Goldilocks scalar add === + // === Montgomery SIMD scalar add === let start = std::time::Instant::now(); for _ in 0..iters { for i in 0..n { - sink ^= GoldilocksNeon::scalar_add(a_raw[i], b_raw[i]); + sink ^= MontGoldilocksNeon::scalar_add(a_mont[i], b_mont[i]); } } - let goldilocks_add_time = start.elapsed(); - println!("Goldilocks scalar add: {:?}", goldilocks_add_time); + let mont_add_time = start.elapsed(); + println!("Montgomery scalar add: {:?}", mont_add_time); println!( " per add: {:.1}ns", - goldilocks_add_time.as_nanos() as f64 / (n * iters) as f64 + mont_add_time.as_nanos() as f64 / (n * iters) as f64 ); // === Vec allocation test === diff --git a/src/simd_sumcheck/prove.rs b/src/simd_sumcheck/prove.rs index 7a0714c4..57269cfc 100644 --- a/src/simd_sumcheck/prove.rs +++ b/src/simd_sumcheck/prove.rs @@ -7,7 +7,7 @@ use crate::simd_fields::SimdBaseField; use crate::simd_sumcheck::evaluate::evaluate_parallel; use crate::simd_sumcheck::reduce::reduce_parallel; -/// Result of the SIMD multilinear sumcheck. +/// Result of the SIMD multilinear sumcheck over raw scalars. #[derive(Debug)] pub struct SimdSumcheck { /// Round messages: `(s(0), s(1))` for each round. @@ -21,9 +21,6 @@ pub struct SimdSumcheck { /// `evals` are the raw scalar evaluations of the multilinear polynomial on the /// boolean hypercube. `challenge_fn` provides the verifier's challenge after each /// round (e.g., from a Fiat-Shamir transcript). -/// -/// This function consumes the evaluations and runs the full sumcheck protocol, -/// returning the transcript. pub fn prove_base_eq_ext( evals: &[F::Scalar], mut challenge_fn: impl FnMut(F::Scalar, F::Scalar) -> F::Scalar, @@ -40,16 +37,12 @@ pub fn prove_base_eq_ext( let mut current = evals.to_vec(); for round in 0..num_rounds { - // Evaluate: sum even-indexed and odd-indexed elements let (s0, s1) = evaluate_parallel::(¤t); prover_messages.push((s0, s1)); if round < num_rounds - 1 { - // Get verifier challenge let challenge = challenge_fn(s0, s1); verifier_messages.push(challenge); - - // Reduce current = reduce_parallel::(¤t, challenge); } } @@ -64,14 +57,14 @@ pub fn prove_base_eq_ext( mod tests { use super::*; use crate::multilinear_sumcheck; - use crate::simd_fields::goldilocks::neon::GoldilocksNeon; + use crate::simd_fields::goldilocks::mont_neon::MontGoldilocksNeon; use crate::tests::F64; use crate::transcript::SanityTranscript; - use ark_ff::{PrimeField, UniformRand}; + use ark_ff::UniformRand; use ark_std::test_rng; - fn to_raw(f: F64) -> u64 { - f.into_bigint().0[0] + fn to_mont(f: F64) -> u64 { + f.value } #[test] @@ -81,7 +74,7 @@ mod tests { let mut rng = test_rng(); let evals_ff: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - let evals_raw: Vec = evals_ff.iter().map(|f| to_raw(*f)).collect(); + let evals_raw: Vec = evals_ff.iter().map(|f| to_mont(*f)).collect(); // Run the reference sumcheck let mut ref_evals = evals_ff.clone(); @@ -90,19 +83,15 @@ mod tests { let ref_result = multilinear_sumcheck::(&mut ref_evals, &mut ref_transcript); // Run the SIMD sumcheck with the same challenges - // We need to produce the same challenges. The SanityTranscript uses - // random challenges that depend on the prover messages via write/read. - // To make this deterministic, we use the reference challenges directly. let ref_challenges = ref_result.verifier_messages.clone(); let mut challenge_idx = 0; - let simd_result = prove_base_eq_ext::(&evals_raw, |_s0, _s1| { - let c = to_raw(ref_challenges[challenge_idx]); + let simd_result = prove_base_eq_ext::(&evals_raw, |_s0, _s1| { + let c = to_mont(ref_challenges[challenge_idx]); challenge_idx += 1; c }); - // Check prover messages match assert_eq!( ref_result.prover_messages.len(), simd_result.prover_messages.len(), @@ -115,33 +104,36 @@ mod tests { .zip(simd_result.prover_messages.iter()) .enumerate() { - assert_eq!(to_raw(ref_msg.0), simd_msg.0, "s0 mismatch at round {}", i); - assert_eq!(to_raw(ref_msg.1), simd_msg.1, "s1 mismatch at round {}", i); + assert_eq!(to_mont(ref_msg.0), simd_msg.0, "s0 mismatch at round {}", i); + assert_eq!(to_mont(ref_msg.1), simd_msg.1, "s1 mismatch at round {}", i); } } #[test] fn test_simd_sumcheck_small() { - // Small test (4 elements = 2 rounds) - let evals_raw: Vec = vec![1, 2, 3, 4]; - // sum = 10, s0 = 1+3=4, s1 = 2+4=6 - - let simd_result = prove_base_eq_ext::( - &evals_raw, - |_s0, _s1| 7, // fixed challenge - ); + // Use actual field elements converted to Montgomery form + let f1 = F64::from(1u64); + let f2 = F64::from(2u64); + let f3 = F64::from(3u64); + let f4 = F64::from(4u64); + let evals_raw: Vec = vec![to_mont(f1), to_mont(f2), to_mont(f3), to_mont(f4)]; + + let simd_result = prove_base_eq_ext::(&evals_raw, |_s0, _s1| { + to_mont(F64::from(7u64)) + }); assert_eq!(simd_result.prover_messages.len(), 2); assert_eq!(simd_result.verifier_messages.len(), 1); - // Round 0: s0 = 4, s1 = 6 - assert_eq!(simd_result.prover_messages[0], (4, 6)); + // Round 0: s0 = f(0)+f(2) = 1+3 = 4, s1 = f(1)+f(3) = 2+4 = 6 + assert_eq!(simd_result.prover_messages[0].0, to_mont(F64::from(4u64))); + assert_eq!(simd_result.prover_messages[0].1, to_mont(F64::from(6u64))); - // After reduce with challenge=7: for each pair (a, b): - // a + 7*(b-a) = a + 7b - 7a = 7b - 6a + // Round 1: after reduce with challenge=7: // pair (1,2): 1 + 7*(2-1) = 8 // pair (3,4): 3 + 7*(4-3) = 10 - // Round 1: s0 = 8, s1 = 10 - assert_eq!(simd_result.prover_messages[1], (8, 10)); + // s0 = 8, s1 = 10 + assert_eq!(simd_result.prover_messages[1].0, to_mont(F64::from(8u64))); + assert_eq!(simd_result.prover_messages[1].1, to_mont(F64::from(10u64))); } } diff --git a/src/simd_sumcheck/reduce.rs b/src/simd_sumcheck/reduce.rs index cf182abc..43d48459 100644 --- a/src/simd_sumcheck/reduce.rs +++ b/src/simd_sumcheck/reduce.rs @@ -13,30 +13,14 @@ use crate::simd_fields::SimdBaseField; /// /// Results are written into the first `src.len() / 2` positions. /// Returns the number of output elements. -/// -/// This is the kernel used when EXT_DEGREE = 1 (base field IS the extension field). pub fn reduce_in_place(src: &mut [F::Scalar], challenge: F::Scalar) -> usize { let n = src.len() / 2; let lanes = F::LANES; let challenge_v = F::splat(challenge); - // Process LANES-wide chunks: we need 2*LANES elements per iteration - // (LANES for 'a' values, LANES for 'b' values) - - let aligned = (n / lanes) * lanes; // number of output elements we can do via SIMD + let aligned = (n / lanes) * lanes; for i in (0..aligned).step_by(lanes) { - // a = src[2i..2i + 2*LANES : step 2] — but elements are contiguous pairs - // Layout: [a0, b0, a1, b1, a2, b2, a3, b3, ...] - // We need to deinterleave: load 2*LANES elements, take even/odd - - // For LANES=2: load [a0, b0, a1, b1] - // a_v = [a0, a1], b_v = [b0, b1] - - // However, with raw loads this requires deinterleaving. - // NEON has vld2q_u64 for deinterleaving loads. - // For now, use scalar indexing to load/store since the bottleneck is mul, not load: - let src_idx = 2 * i; let mut a_buf = vec![F::ZERO; lanes]; let mut b_buf = vec![F::ZERO; lanes]; @@ -49,15 +33,9 @@ pub fn reduce_in_place(src: &mut [F::Scalar], challenge: F::Sc unsafe { let a_v = F::load(a_buf.as_ptr()); let b_v = F::load(b_buf.as_ptr()); - - // b - a let diff = F::sub(b_v, a_v); - // challenge * (b - a) let scaled = F::mul(challenge_v, diff); - // a + challenge * (b - a) let result = F::add(a_v, scaled); - - // Store result at position i..i+LANES F::store(src[i..].as_mut_ptr(), result); } } @@ -75,15 +53,12 @@ pub fn reduce_in_place(src: &mut [F::Scalar], challenge: F::Sc } /// SIMD-vectorized pairwise reduce, producing a new Vec. -/// -/// Same semantics as `reduce_in_place`, but allocates and returns a new vector. pub fn reduce_to_vec(src: &[F::Scalar], challenge: F::Scalar) -> Vec { let n = src.len() / 2; let mut out = vec![F::ZERO; n]; let lanes = F::LANES; let challenge_v = F::splat(challenge); - let aligned = (n / lanes) * lanes; for i in (0..aligned).step_by(lanes) { @@ -99,11 +74,9 @@ pub fn reduce_to_vec(src: &[F::Scalar], challenge: F::Scalar) unsafe { let a_v = F::load(a_buf.as_ptr()); let b_v = F::load(b_buf.as_ptr()); - let diff = F::sub(b_v, a_v); let scaled = F::mul(challenge_v, diff); let result = F::add(a_v, scaled); - F::store(out[i..].as_mut_ptr(), result); } } @@ -129,14 +102,13 @@ pub fn reduce_parallel( use rayon::prelude::*; let n = src.len() / 2; - let chunk_size = 32_768_usize; // pairs per chunk - let pair_chunk = chunk_size * 2; // scalars per chunk (each pair is 2 scalars) + let chunk_size = 32_768_usize; + let pair_chunk = chunk_size * 2; if n <= chunk_size { return reduce_to_vec::(src, challenge); } - // Process in parallel chunks, then concatenate src.par_chunks(pair_chunk) .flat_map(|chunk| reduce_to_vec::(chunk, challenge)) .collect() @@ -154,13 +126,13 @@ pub fn reduce_parallel( #[cfg(test)] mod tests { use super::*; - use crate::simd_fields::goldilocks::neon::GoldilocksNeon; + use crate::simd_fields::goldilocks::mont_neon::MontGoldilocksNeon; use crate::tests::F64; - use ark_ff::{PrimeField, UniformRand}; + use ark_ff::UniformRand; use ark_std::test_rng; - fn to_raw(f: F64) -> u64 { - f.into_bigint().0[0] + fn to_mont(f: F64) -> u64 { + f.value } #[test] @@ -170,22 +142,20 @@ mod tests { let mut rng = test_rng(); let n = 1 << 16; let evals_ff: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - let evals_raw: Vec = evals_ff.iter().map(|f| to_raw(*f)).collect(); + let evals_raw: Vec = evals_ff.iter().map(|f| to_mont(*f)).collect(); let challenge_ff = F64::rand(&mut rng); - let challenge_raw = to_raw(challenge_ff); + let challenge_raw = to_mont(challenge_ff); - // Reference: arkworks pairwise reduce let mut expected_ff = evals_ff.clone(); pairwise::reduce_evaluations(&mut expected_ff, challenge_ff); - // SIMD reduce - let received_raw = reduce_to_vec::(&evals_raw, challenge_raw); + let received_raw = reduce_to_vec::(&evals_raw, challenge_raw); assert_eq!(expected_ff.len(), received_raw.len()); for i in 0..expected_ff.len() { assert_eq!( - to_raw(expected_ff[i]), + to_mont(expected_ff[i]), received_raw[i], "mismatch at index {}", i @@ -200,22 +170,20 @@ mod tests { let mut rng = test_rng(); let n = 1 << 16; let evals_ff: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - let mut evals_raw: Vec = evals_ff.iter().map(|f| to_raw(*f)).collect(); + let mut evals_raw: Vec = evals_ff.iter().map(|f| to_mont(*f)).collect(); let challenge_ff = F64::rand(&mut rng); - let challenge_raw = to_raw(challenge_ff); + let challenge_raw = to_mont(challenge_ff); - // Reference let mut expected_ff = evals_ff; pairwise::reduce_evaluations(&mut expected_ff, challenge_ff); - // SIMD in-place - let out_len = reduce_in_place::(&mut evals_raw, challenge_raw); + let out_len = reduce_in_place::(&mut evals_raw, challenge_raw); assert_eq!(expected_ff.len(), out_len); for i in 0..out_len { assert_eq!( - to_raw(expected_ff[i]), + to_mont(expected_ff[i]), evals_raw[i], "mismatch at index {}", i @@ -230,20 +198,20 @@ mod tests { let mut rng = test_rng(); let n = 1 << 20; let evals_ff: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - let evals_raw: Vec = evals_ff.iter().map(|f| to_raw(*f)).collect(); + let evals_raw: Vec = evals_ff.iter().map(|f| to_mont(*f)).collect(); let challenge_ff = F64::rand(&mut rng); - let challenge_raw = to_raw(challenge_ff); + let challenge_raw = to_mont(challenge_ff); let mut expected_ff = evals_ff; pairwise::reduce_evaluations(&mut expected_ff, challenge_ff); - let received_raw = reduce_parallel::(&evals_raw, challenge_raw); + let received_raw = reduce_parallel::(&evals_raw, challenge_raw); assert_eq!(expected_ff.len(), received_raw.len()); for i in 0..expected_ff.len() { assert_eq!( - to_raw(expected_ff[i]), + to_mont(expected_ff[i]), received_raw[i], "mismatch at index {}", i From 23b59cec1066982b22264fb980d6f6e634979c3f Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Mon, 6 Apr 2026 15:34:01 +0200 Subject: [PATCH 07/52] cleanup --- benches/simd_vs_generic.rs | 29 +++-- src/simd_fields/goldilocks/mod.rs | 10 +- .../goldilocks/{mont_neon.rs => neon.rs} | 16 +-- src/simd_sumcheck/dispatch.rs | 6 +- src/simd_sumcheck/evaluate.rs | 6 +- src/simd_sumcheck/micro_bench.rs | 102 ------------------ src/simd_sumcheck/mod.rs | 1 - src/simd_sumcheck/prove.rs | 6 +- src/simd_sumcheck/reduce.rs | 8 +- 9 files changed, 41 insertions(+), 143 deletions(-) rename src/simd_fields/goldilocks/{mont_neon.rs => neon.rs} (93%) delete mode 100644 src/simd_sumcheck/micro_bench.rs diff --git a/benches/simd_vs_generic.rs b/benches/simd_vs_generic.rs index a238e9cb..88ef736b 100644 --- a/benches/simd_vs_generic.rs +++ b/benches/simd_vs_generic.rs @@ -6,7 +6,7 @@ use criterion::{ use efficient_sumcheck::{ multilinear_sumcheck, - simd_fields::{goldilocks::GoldilocksSIMD, SimdBaseField}, + simd_fields::{goldilocks::GoldilocksNeon, SimdBaseField}, tests::F64, transcript::SanityTranscript, }; @@ -56,25 +56,23 @@ fn simd_vs_generic_sumcheck(c: &mut Criterion) { |bencher, _| { bencher.iter_with_setup( || { - // Generate raw u64 values directly (as SmallFp would store them) - use ark_ff::PrimeField; let mut rng = ark_std::test_rng(); - let evals: Vec = (0..n) - .map(|_| F64::rand(&mut rng).into_bigint().0[0]) - .collect(); + let evals: Vec = + (0..n).map(|_| F64::rand(&mut rng).value).collect(); evals }, |evals| { - use efficient_sumcheck::simd_fields::goldilocks::GoldilocksSIMD; use efficient_sumcheck::simd_sumcheck::prove::prove_base_eq_ext; - // Use fixed challenge function (avoids transcript overhead) let mut challenge_idx = 0u64; - black_box(prove_base_eq_ext::(&evals, |_s0, _s1| { - challenge_idx = challenge_idx - .wrapping_mul(6364136223846793005) - .wrapping_add(1); - challenge_idx % GoldilocksSIMD::MODULUS - })); + black_box(prove_base_eq_ext::( + &evals, + |_s0, _s1| { + challenge_idx = challenge_idx + .wrapping_mul(6364136223846793005) + .wrapping_add(1); + challenge_idx % GoldilocksNeon::MODULUS + }, + )); }, ) }, @@ -102,7 +100,8 @@ fn simd_vs_generic_sumcheck(c: &mut Criterion) { challenge_idx = challenge_idx .wrapping_mul(6364136223846793005) .wrapping_add(1); - let chg = F64::from(challenge_idx % GoldilocksSIMD::MODULUS); + let chg = + F64::from(challenge_idx % GoldilocksNeon::MODULUS); pairwise::reduce_evaluations(&mut evals, chg); } black_box(msgs); diff --git a/src/simd_fields/goldilocks/mod.rs b/src/simd_fields/goldilocks/mod.rs index bc1df21c..5446c737 100644 --- a/src/simd_fields/goldilocks/mod.rs +++ b/src/simd_fields/goldilocks/mod.rs @@ -1,9 +1,11 @@ //! Goldilocks field (p = 2^64 - 2^32 + 1) SIMD backends. #[cfg(target_arch = "aarch64")] -pub mod mont_neon; +pub mod neon; -/// Montgomery-form Goldilocks backend (for both SmallFp and Fp64). -/// Operates directly on arkworks' internal representation — zero-cost transmute. +/// Goldilocks NEON backend (aarch64). +/// +/// Operates on Montgomery-form values as stored by arkworks (`SmallFp.value` +/// or `Fp64.0.0[0]`) — zero-cost transmute from `&[Field]` to `&[u64]`. #[cfg(target_arch = "aarch64")] -pub use mont_neon::MontGoldilocksNeon; +pub use neon::GoldilocksNeon; diff --git a/src/simd_fields/goldilocks/mont_neon.rs b/src/simd_fields/goldilocks/neon.rs similarity index 93% rename from src/simd_fields/goldilocks/mont_neon.rs rename to src/simd_fields/goldilocks/neon.rs index e2e7588b..c54ef1e8 100644 --- a/src/simd_fields/goldilocks/mont_neon.rs +++ b/src/simd_fields/goldilocks/neon.rs @@ -26,9 +26,9 @@ const MONT_ONE: u64 = EPSILON; const MONT_ZERO: u64 = 0; #[derive(Copy, Clone)] -pub struct MontGoldilocksNeon; +pub struct GoldilocksNeon; -impl SimdBaseField for MontGoldilocksNeon { +impl SimdBaseField for GoldilocksNeon { type Scalar = u64; type Packed = uint64x2_t; const LANES: usize = 2; @@ -204,7 +204,7 @@ mod tests { let a = F64::rand(&mut rng); let b = F64::rand(&mut rng); let expected = a + b; - let result = from_mont(MontGoldilocksNeon::scalar_add(to_mont(a), to_mont(b))); + let result = from_mont(GoldilocksNeon::scalar_add(to_mont(a), to_mont(b))); assert_eq!(expected, result); } } @@ -216,7 +216,7 @@ mod tests { let a = F64::rand(&mut rng); let b = F64::rand(&mut rng); let expected = a - b; - let result = from_mont(MontGoldilocksNeon::scalar_sub(to_mont(a), to_mont(b))); + let result = from_mont(GoldilocksNeon::scalar_sub(to_mont(a), to_mont(b))); assert_eq!(expected, result); } } @@ -233,12 +233,12 @@ mod tests { let a_raw = [to_mont(a0), to_mont(a1)]; let b_raw = [to_mont(b0), to_mont(b1)]; - let a_v = unsafe { MontGoldilocksNeon::load(a_raw.as_ptr()) }; - let b_v = unsafe { MontGoldilocksNeon::load(b_raw.as_ptr()) }; - let r_v = MontGoldilocksNeon::mul(a_v, b_v); + let a_v = unsafe { GoldilocksNeon::load(a_raw.as_ptr()) }; + let b_v = unsafe { GoldilocksNeon::load(b_raw.as_ptr()) }; + let r_v = GoldilocksNeon::mul(a_v, b_v); let mut result = [0u64; 2]; - unsafe { MontGoldilocksNeon::store(result.as_mut_ptr(), r_v) }; + unsafe { GoldilocksNeon::store(result.as_mut_ptr(), r_v) }; assert_eq!(from_mont(result[0]), a0 * b0); assert_eq!(from_mont(result[1]), a1 * b1); diff --git a/src/simd_sumcheck/dispatch.rs b/src/simd_sumcheck/dispatch.rs index ded55dc0..97ef9ba3 100644 --- a/src/simd_sumcheck/dispatch.rs +++ b/src/simd_sumcheck/dispatch.rs @@ -81,7 +81,7 @@ pub(crate) fn try_simd_dispatch>( "Goldilocks dispatch: field element size must be 8 bytes" ); - use crate::simd_fields::goldilocks::mont_neon::MontGoldilocksNeon; + use crate::simd_fields::goldilocks::neon::GoldilocksNeon; use crate::simd_sumcheck::evaluate::evaluate_parallel; use crate::simd_sumcheck::reduce::reduce_parallel; @@ -99,7 +99,7 @@ pub(crate) fn try_simd_dispatch>( for round in 0..num_rounds { // ── Evaluate: SIMD-vectorized even/odd sums ──────────────────── - let (s0, s1) = evaluate_parallel::(¤t); + let (s0, s1) = evaluate_parallel::(¤t); let s0_ef: EF = u64_to_field(s0); let s1_ef: EF = u64_to_field(s1); @@ -114,7 +114,7 @@ pub(crate) fn try_simd_dispatch>( if round < num_rounds - 1 { let chg: u64 = field_to_u64(chg_ef); - current = reduce_parallel::(¤t, chg); + current = reduce_parallel::(¤t, chg); } } diff --git a/src/simd_sumcheck/evaluate.rs b/src/simd_sumcheck/evaluate.rs index 5e5f3d09..ef83e27d 100644 --- a/src/simd_sumcheck/evaluate.rs +++ b/src/simd_sumcheck/evaluate.rs @@ -158,7 +158,7 @@ pub fn evaluate_parallel(src: &[F::Scalar]) -> (F::Scalar, F:: #[cfg(test)] mod tests { use super::*; - use crate::simd_fields::goldilocks::mont_neon::MontGoldilocksNeon; + use crate::simd_fields::goldilocks::neon::GoldilocksNeon; use crate::tests::F64; use ark_ff::UniformRand; use ark_std::test_rng; @@ -181,7 +181,7 @@ mod tests { let (expected_even, expected_odd) = pairwise::evaluate(&evals_ff); // SIMD evaluate (Montgomery domain) - let (simd_even, simd_odd) = evaluate::(&evals_raw); + let (simd_even, simd_odd) = evaluate::(&evals_raw); assert_eq!(to_mont(expected_even), simd_even, "even sum mismatch"); assert_eq!(to_mont(expected_odd), simd_odd, "odd sum mismatch"); @@ -197,7 +197,7 @@ mod tests { let evals_raw: Vec = evals_ff.iter().map(|f| to_mont(*f)).collect(); let (expected_even, expected_odd) = pairwise::evaluate(&evals_ff); - let (simd_even, simd_odd) = evaluate_parallel::(&evals_raw); + let (simd_even, simd_odd) = evaluate_parallel::(&evals_raw); assert_eq!( to_mont(expected_even), diff --git a/src/simd_sumcheck/micro_bench.rs b/src/simd_sumcheck/micro_bench.rs deleted file mode 100644 index cee8d239..00000000 --- a/src/simd_sumcheck/micro_bench.rs +++ /dev/null @@ -1,102 +0,0 @@ -/// Quick micro-benchmark to isolate multiply cost vs allocation overhead. -/// -/// Run with: cargo test --release --lib micro_bench -- --nocapture - -#[cfg(test)] -mod tests { - use crate::simd_fields::goldilocks::mont_neon::MontGoldilocksNeon; - use crate::simd_fields::SimdBaseField; - use crate::tests::F64; - use ark_ff::UniformRand; - use ark_std::test_rng; - - #[test] - fn micro_bench_multiply() { - let n = 1 << 20; // 1M elements - let iters = 5; - - let mut rng = test_rng(); - let a_ff: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - let b_ff: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - let a_mont: Vec = a_ff.iter().map(|f| f.value).collect(); - let b_mont: Vec = b_ff.iter().map(|f| f.value).collect(); - - let mut sink = 0u64; - - // === Arkworks multiply === - let start = std::time::Instant::now(); - for _ in 0..iters { - for i in 0..n { - sink ^= (a_ff[i] * b_ff[i]).value; - } - } - let arkworks_time = start.elapsed(); - println!("Arkworks mul: {:?} ({} muls)", arkworks_time, n * iters); - println!( - " per mul: {:.1}ns", - arkworks_time.as_nanos() as f64 / (n * iters) as f64 - ); - - // === Montgomery SIMD scalar multiply === - let start = std::time::Instant::now(); - for _ in 0..iters { - for i in 0..n { - sink ^= MontGoldilocksNeon::scalar_mul(a_mont[i], b_mont[i]); - } - } - let mont_time = start.elapsed(); - println!( - "Montgomery scalar mul: {:?} ({} muls)", - mont_time, - n * iters - ); - println!( - " per mul: {:.1}ns", - mont_time.as_nanos() as f64 / (n * iters) as f64 - ); - - // === Arkworks add === - let start = std::time::Instant::now(); - for _ in 0..iters { - for i in 0..n { - sink ^= (a_ff[i] + b_ff[i]).value; - } - } - let arkworks_add_time = start.elapsed(); - println!("Arkworks add: {:?}", arkworks_add_time); - println!( - " per add: {:.1}ns", - arkworks_add_time.as_nanos() as f64 / (n * iters) as f64 - ); - - // === Montgomery SIMD scalar add === - let start = std::time::Instant::now(); - for _ in 0..iters { - for i in 0..n { - sink ^= MontGoldilocksNeon::scalar_add(a_mont[i], b_mont[i]); - } - } - let mont_add_time = start.elapsed(); - println!("Montgomery scalar add: {:?}", mont_add_time); - println!( - " per add: {:.1}ns", - mont_add_time.as_nanos() as f64 / (n * iters) as f64 - ); - - // === Vec allocation test === - let start = std::time::Instant::now(); - for _ in 0..iters { - let v: Vec = vec![0u64; n]; - sink ^= v[0]; - } - let alloc_time = start.elapsed(); - println!("Vec alloc ({}): {:?}", n, alloc_time); - println!( - " per alloc: {:.1}ms", - alloc_time.as_millis() as f64 / iters as f64 - ); - - // Prevent optimization - assert_ne!(sink, u64::MAX - 1); - } -} diff --git a/src/simd_sumcheck/mod.rs b/src/simd_sumcheck/mod.rs index 663746a6..6fbcdd72 100644 --- a/src/simd_sumcheck/mod.rs +++ b/src/simd_sumcheck/mod.rs @@ -4,6 +4,5 @@ pub(crate) mod dispatch; pub mod evaluate; -pub mod micro_bench; pub mod prove; pub mod reduce; diff --git a/src/simd_sumcheck/prove.rs b/src/simd_sumcheck/prove.rs index 57269cfc..080f59f9 100644 --- a/src/simd_sumcheck/prove.rs +++ b/src/simd_sumcheck/prove.rs @@ -57,7 +57,7 @@ pub fn prove_base_eq_ext( mod tests { use super::*; use crate::multilinear_sumcheck; - use crate::simd_fields::goldilocks::mont_neon::MontGoldilocksNeon; + use crate::simd_fields::goldilocks::neon::GoldilocksNeon; use crate::tests::F64; use crate::transcript::SanityTranscript; use ark_ff::UniformRand; @@ -86,7 +86,7 @@ mod tests { let ref_challenges = ref_result.verifier_messages.clone(); let mut challenge_idx = 0; - let simd_result = prove_base_eq_ext::(&evals_raw, |_s0, _s1| { + let simd_result = prove_base_eq_ext::(&evals_raw, |_s0, _s1| { let c = to_mont(ref_challenges[challenge_idx]); challenge_idx += 1; c @@ -118,7 +118,7 @@ mod tests { let f4 = F64::from(4u64); let evals_raw: Vec = vec![to_mont(f1), to_mont(f2), to_mont(f3), to_mont(f4)]; - let simd_result = prove_base_eq_ext::(&evals_raw, |_s0, _s1| { + let simd_result = prove_base_eq_ext::(&evals_raw, |_s0, _s1| { to_mont(F64::from(7u64)) }); diff --git a/src/simd_sumcheck/reduce.rs b/src/simd_sumcheck/reduce.rs index 43d48459..8e3349c3 100644 --- a/src/simd_sumcheck/reduce.rs +++ b/src/simd_sumcheck/reduce.rs @@ -126,7 +126,7 @@ pub fn reduce_parallel( #[cfg(test)] mod tests { use super::*; - use crate::simd_fields::goldilocks::mont_neon::MontGoldilocksNeon; + use crate::simd_fields::goldilocks::neon::GoldilocksNeon; use crate::tests::F64; use ark_ff::UniformRand; use ark_std::test_rng; @@ -150,7 +150,7 @@ mod tests { let mut expected_ff = evals_ff.clone(); pairwise::reduce_evaluations(&mut expected_ff, challenge_ff); - let received_raw = reduce_to_vec::(&evals_raw, challenge_raw); + let received_raw = reduce_to_vec::(&evals_raw, challenge_raw); assert_eq!(expected_ff.len(), received_raw.len()); for i in 0..expected_ff.len() { @@ -178,7 +178,7 @@ mod tests { let mut expected_ff = evals_ff; pairwise::reduce_evaluations(&mut expected_ff, challenge_ff); - let out_len = reduce_in_place::(&mut evals_raw, challenge_raw); + let out_len = reduce_in_place::(&mut evals_raw, challenge_raw); assert_eq!(expected_ff.len(), out_len); for i in 0..out_len { @@ -206,7 +206,7 @@ mod tests { let mut expected_ff = evals_ff; pairwise::reduce_evaluations(&mut expected_ff, challenge_ff); - let received_raw = reduce_parallel::(&evals_raw, challenge_raw); + let received_raw = reduce_parallel::(&evals_raw, challenge_raw); assert_eq!(expected_ff.len(), received_raw.len()); for i in 0..expected_ff.len() { From 01fa7f5b03db370c6d1e12bfc05d2203ce5d76a5 Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Mon, 6 Apr 2026 15:48:26 +0200 Subject: [PATCH 08/52] cleanup --- benches/simd_vs_generic.rs | 50 ++--------- src/simd_fields/goldilocks/neon.rs | 12 +-- src/simd_sumcheck/evaluate.rs | 7 +- src/simd_sumcheck/mod.rs | 1 - src/simd_sumcheck/prove.rs | 139 ----------------------------- src/simd_sumcheck/reduce.rs | 80 +---------------- src/tests/fields.rs | 10 +++ src/tests/mod.rs | 2 +- 8 files changed, 23 insertions(+), 278 deletions(-) delete mode 100644 src/simd_sumcheck/prove.rs diff --git a/benches/simd_vs_generic.rs b/benches/simd_vs_generic.rs index 88ef736b..d6004de2 100644 --- a/benches/simd_vs_generic.rs +++ b/benches/simd_vs_generic.rs @@ -4,12 +4,10 @@ use criterion::{ criterion_group, criterion_main, measurement::WallTime, BenchmarkGroup, BenchmarkId, Criterion, }; -use efficient_sumcheck::{ - multilinear_sumcheck, - simd_fields::{goldilocks::GoldilocksNeon, SimdBaseField}, - tests::F64, - transcript::SanityTranscript, -}; +use efficient_sumcheck::{multilinear_sumcheck, tests::F64, transcript::SanityTranscript}; + +/// Goldilocks modulus for the fixed-challenge benchmark. +const GOLDILOCKS_P: u64 = 0xFFFF_FFFF_0000_0001; fn get_bench_group(c: &mut Criterion) -> BenchmarkGroup<'_, WallTime> { let mut group = c.benchmark_group("simd_vs_generic"); @@ -26,9 +24,9 @@ fn simd_vs_generic_sumcheck(c: &mut Criterion) { for num_vars in [16, 17, 18, 19, 20, 24] { let n = 1usize << num_vars; - // ── Generic multilinear_sumcheck (auto-dispatches to SIMD for F64) ── + // ── multilinear_sumcheck (auto-dispatches to SIMD for Goldilocks) ── group.bench_with_input( - BenchmarkId::new("generic", format!("2^{}", num_vars)), + BenchmarkId::new("auto_dispatch", format!("2^{}", num_vars)), &num_vars, |bencher, _| { bencher.iter_with_setup( @@ -49,38 +47,9 @@ fn simd_vs_generic_sumcheck(c: &mut Criterion) { }, ); - // ── Raw SIMD (no conversion — simulates SmallFp / zero-cost transmute) ── - group.bench_with_input( - BenchmarkId::new("simd_raw", format!("2^{}", num_vars)), - &num_vars, - |bencher, _| { - bencher.iter_with_setup( - || { - let mut rng = ark_std::test_rng(); - let evals: Vec = - (0..n).map(|_| F64::rand(&mut rng).value).collect(); - evals - }, - |evals| { - use efficient_sumcheck::simd_sumcheck::prove::prove_base_eq_ext; - let mut challenge_idx = 0u64; - black_box(prove_base_eq_ext::( - &evals, - |_s0, _s1| { - challenge_idx = challenge_idx - .wrapping_mul(6364136223846793005) - .wrapping_add(1); - challenge_idx % GoldilocksNeon::MODULUS - }, - )); - }, - ) - }, - ); - - // ── Generic sumcheck with same fixed challenges (apples-to-apples) ── + // ── Generic pairwise path with fixed challenges (apples-to-apples baseline) ── group.bench_with_input( - BenchmarkId::new("generic_fixed_chg", format!("2^{}", num_vars)), + BenchmarkId::new("generic_pairwise", format!("2^{}", num_vars)), &num_vars, |bencher, _| { bencher.iter_with_setup( @@ -100,8 +69,7 @@ fn simd_vs_generic_sumcheck(c: &mut Criterion) { challenge_idx = challenge_idx .wrapping_mul(6364136223846793005) .wrapping_add(1); - let chg = - F64::from(challenge_idx % GoldilocksNeon::MODULUS); + let chg = F64::from(challenge_idx % GOLDILOCKS_P); pairwise::reduce_evaluations(&mut evals, chg); } black_box(msgs); diff --git a/src/simd_fields/goldilocks/neon.rs b/src/simd_fields/goldilocks/neon.rs index c54ef1e8..d3a575cb 100644 --- a/src/simd_fields/goldilocks/neon.rs +++ b/src/simd_fields/goldilocks/neon.rs @@ -167,20 +167,10 @@ fn mont_mul(a: u64, b: u64) -> u64 { #[cfg(test)] mod tests { use super::*; - use crate::tests::F64; + use crate::tests::{from_mont, to_mont, F64}; use ark_ff::{AdditiveGroup, UniformRand}; use ark_std::test_rng; - /// Get the Montgomery-form value (raw internal representation). - fn to_mont(f: F64) -> u64 { - f.value - } - - /// Reconstruct F64 from Montgomery-form value. - fn from_mont(val: u64) -> F64 { - F64::from_raw(val) - } - #[test] fn test_mont_mul_matches_arkworks() { let mut rng = test_rng(); diff --git a/src/simd_sumcheck/evaluate.rs b/src/simd_sumcheck/evaluate.rs index ef83e27d..3151f160 100644 --- a/src/simd_sumcheck/evaluate.rs +++ b/src/simd_sumcheck/evaluate.rs @@ -159,15 +159,10 @@ pub fn evaluate_parallel(src: &[F::Scalar]) -> (F::Scalar, F:: mod tests { use super::*; use crate::simd_fields::goldilocks::neon::GoldilocksNeon; - use crate::tests::F64; + use crate::tests::{to_mont, F64}; use ark_ff::UniformRand; use ark_std::test_rng; - /// Get the Montgomery-form raw value for SIMD operations. - fn to_mont(f: F64) -> u64 { - f.value - } - #[test] fn test_evaluate_matches_pairwise() { use crate::multilinear::reductions::pairwise; diff --git a/src/simd_sumcheck/mod.rs b/src/simd_sumcheck/mod.rs index 6fbcdd72..9b859689 100644 --- a/src/simd_sumcheck/mod.rs +++ b/src/simd_sumcheck/mod.rs @@ -4,5 +4,4 @@ pub(crate) mod dispatch; pub mod evaluate; -pub mod prove; pub mod reduce; diff --git a/src/simd_sumcheck/prove.rs b/src/simd_sumcheck/prove.rs deleted file mode 100644 index 080f59f9..00000000 --- a/src/simd_sumcheck/prove.rs +++ /dev/null @@ -1,139 +0,0 @@ -//! SIMD-vectorized multilinear sumcheck prover (base = extension). -//! -//! This is the base=extension (EXT_DEGREE=1) sumcheck: the entire protocol -//! stays in the base field, no extension promotion or Karatsuba needed. - -use crate::simd_fields::SimdBaseField; -use crate::simd_sumcheck::evaluate::evaluate_parallel; -use crate::simd_sumcheck::reduce::reduce_parallel; - -/// Result of the SIMD multilinear sumcheck over raw scalars. -#[derive(Debug)] -pub struct SimdSumcheck { - /// Round messages: `(s(0), s(1))` for each round. - pub prover_messages: Vec<(S, S)>, - /// Verifier challenges, one per round (except the last). - pub verifier_messages: Vec, -} - -/// Run the SIMD multilinear sumcheck (base = extension). -/// -/// `evals` are the raw scalar evaluations of the multilinear polynomial on the -/// boolean hypercube. `challenge_fn` provides the verifier's challenge after each -/// round (e.g., from a Fiat-Shamir transcript). -pub fn prove_base_eq_ext( - evals: &[F::Scalar], - mut challenge_fn: impl FnMut(F::Scalar, F::Scalar) -> F::Scalar, -) -> SimdSumcheck { - assert!( - evals.len().count_ones() == 1 && evals.len() >= 2, - "evals length must be a power of 2 and >= 2" - ); - - let num_rounds = evals.len().trailing_zeros() as usize; - let mut prover_messages = Vec::with_capacity(num_rounds); - let mut verifier_messages = Vec::with_capacity(num_rounds); - - let mut current = evals.to_vec(); - - for round in 0..num_rounds { - let (s0, s1) = evaluate_parallel::(¤t); - prover_messages.push((s0, s1)); - - if round < num_rounds - 1 { - let challenge = challenge_fn(s0, s1); - verifier_messages.push(challenge); - current = reduce_parallel::(¤t, challenge); - } - } - - SimdSumcheck { - prover_messages, - verifier_messages, - } -} - -#[cfg(test)] -mod tests { - use super::*; - use crate::multilinear_sumcheck; - use crate::simd_fields::goldilocks::neon::GoldilocksNeon; - use crate::tests::F64; - use crate::transcript::SanityTranscript; - use ark_ff::UniformRand; - use ark_std::test_rng; - - fn to_mont(f: F64) -> u64 { - f.value - } - - #[test] - fn test_simd_sumcheck_matches_reference() { - let num_vars = 16; - let n = 1 << num_vars; - - let mut rng = test_rng(); - let evals_ff: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - let evals_raw: Vec = evals_ff.iter().map(|f| to_mont(*f)).collect(); - - // Run the reference sumcheck - let mut ref_evals = evals_ff.clone(); - let mut ref_rng = test_rng(); - let mut ref_transcript = SanityTranscript::new(&mut ref_rng); - let ref_result = multilinear_sumcheck::(&mut ref_evals, &mut ref_transcript); - - // Run the SIMD sumcheck with the same challenges - let ref_challenges = ref_result.verifier_messages.clone(); - let mut challenge_idx = 0; - - let simd_result = prove_base_eq_ext::(&evals_raw, |_s0, _s1| { - let c = to_mont(ref_challenges[challenge_idx]); - challenge_idx += 1; - c - }); - - assert_eq!( - ref_result.prover_messages.len(), - simd_result.prover_messages.len(), - "round count mismatch" - ); - - for (i, (ref_msg, simd_msg)) in ref_result - .prover_messages - .iter() - .zip(simd_result.prover_messages.iter()) - .enumerate() - { - assert_eq!(to_mont(ref_msg.0), simd_msg.0, "s0 mismatch at round {}", i); - assert_eq!(to_mont(ref_msg.1), simd_msg.1, "s1 mismatch at round {}", i); - } - } - - #[test] - fn test_simd_sumcheck_small() { - // Use actual field elements converted to Montgomery form - let f1 = F64::from(1u64); - let f2 = F64::from(2u64); - let f3 = F64::from(3u64); - let f4 = F64::from(4u64); - let evals_raw: Vec = vec![to_mont(f1), to_mont(f2), to_mont(f3), to_mont(f4)]; - - let simd_result = prove_base_eq_ext::(&evals_raw, |_s0, _s1| { - to_mont(F64::from(7u64)) - }); - - assert_eq!(simd_result.prover_messages.len(), 2); - assert_eq!(simd_result.verifier_messages.len(), 1); - - // Round 0: s0 = f(0)+f(2) = 1+3 = 4, s1 = f(1)+f(3) = 2+4 = 6 - assert_eq!(simd_result.prover_messages[0].0, to_mont(F64::from(4u64))); - assert_eq!(simd_result.prover_messages[0].1, to_mont(F64::from(6u64))); - - // Round 1: after reduce with challenge=7: - // pair (1,2): 1 + 7*(2-1) = 8 - // pair (3,4): 3 + 7*(4-3) = 10 - // s0 = 8, s1 = 10 - assert_eq!(simd_result.prover_messages[1].0, to_mont(F64::from(8u64))); - assert_eq!(simd_result.prover_messages[1].1, to_mont(F64::from(10u64))); - } -} diff --git a/src/simd_sumcheck/reduce.rs b/src/simd_sumcheck/reduce.rs index 8e3349c3..3d3e6027 100644 --- a/src/simd_sumcheck/reduce.rs +++ b/src/simd_sumcheck/reduce.rs @@ -6,52 +6,6 @@ use crate::simd_fields::SimdBaseField; -/// SIMD-vectorized pairwise reduce (base = extension, in-place). -/// -/// For each pair `(src[2i], src[2i+1])`, computes: -/// `src[2i] + challenge * (src[2i+1] - src[2i])` -/// -/// Results are written into the first `src.len() / 2` positions. -/// Returns the number of output elements. -pub fn reduce_in_place(src: &mut [F::Scalar], challenge: F::Scalar) -> usize { - let n = src.len() / 2; - let lanes = F::LANES; - let challenge_v = F::splat(challenge); - - let aligned = (n / lanes) * lanes; - - for i in (0..aligned).step_by(lanes) { - let src_idx = 2 * i; - let mut a_buf = vec![F::ZERO; lanes]; - let mut b_buf = vec![F::ZERO; lanes]; - - for j in 0..lanes { - a_buf[j] = src[src_idx + 2 * j]; - b_buf[j] = src[src_idx + 2 * j + 1]; - } - - unsafe { - let a_v = F::load(a_buf.as_ptr()); - let b_v = F::load(b_buf.as_ptr()); - let diff = F::sub(b_v, a_v); - let scaled = F::mul(challenge_v, diff); - let result = F::add(a_v, scaled); - F::store(src[i..].as_mut_ptr(), result); - } - } - - // Scalar tail - for i in aligned..n { - let a = src[2 * i]; - let b = src[2 * i + 1]; - let diff = F::scalar_sub(b, a); - let scaled = F::scalar_mul(challenge, diff); - src[i] = F::scalar_add(a, scaled); - } - - n -} - /// SIMD-vectorized pairwise reduce, producing a new Vec. pub fn reduce_to_vec(src: &[F::Scalar], challenge: F::Scalar) -> Vec { let n = src.len() / 2; @@ -127,14 +81,10 @@ pub fn reduce_parallel( mod tests { use super::*; use crate::simd_fields::goldilocks::neon::GoldilocksNeon; - use crate::tests::F64; + use crate::tests::{to_mont, F64}; use ark_ff::UniformRand; use ark_std::test_rng; - fn to_mont(f: F64) -> u64 { - f.value - } - #[test] fn test_reduce_matches_pairwise() { use crate::multilinear::reductions::pairwise; @@ -163,34 +113,6 @@ mod tests { } } - #[test] - fn test_reduce_in_place_matches_pairwise() { - use crate::multilinear::reductions::pairwise; - - let mut rng = test_rng(); - let n = 1 << 16; - let evals_ff: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - let mut evals_raw: Vec = evals_ff.iter().map(|f| to_mont(*f)).collect(); - - let challenge_ff = F64::rand(&mut rng); - let challenge_raw = to_mont(challenge_ff); - - let mut expected_ff = evals_ff; - pairwise::reduce_evaluations(&mut expected_ff, challenge_ff); - - let out_len = reduce_in_place::(&mut evals_raw, challenge_raw); - - assert_eq!(expected_ff.len(), out_len); - for i in 0..out_len { - assert_eq!( - to_mont(expected_ff[i]), - evals_raw[i], - "mismatch at index {}", - i - ); - } - } - #[test] fn test_reduce_parallel_matches() { use crate::multilinear::reductions::pairwise; diff --git a/src/tests/fields.rs b/src/tests/fields.rs index d4513ff7..1b0a94eb 100644 --- a/src/tests/fields.rs +++ b/src/tests/fields.rs @@ -27,6 +27,16 @@ define_field!( name = F64, ); +/// Extract the raw Montgomery-form `u64` from a Goldilocks field element. +pub fn to_mont(f: F64) -> u64 { + f.value +} + +/// Reconstruct an `F64` from its raw Montgomery-form `u64`. +pub fn from_mont(val: u64) -> F64 { + F64::from_raw(val) +} + // Secondary type: Fp64 (for compatibility with code using MontConfig). // Both F64 and FpF64 store a single u64 in Montgomery form — the SIMD backend // works identically for either. diff --git a/src/tests/mod.rs b/src/tests/mod.rs index 8dc2d228..2636a400 100644 --- a/src/tests/mod.rs +++ b/src/tests/mod.rs @@ -5,5 +5,5 @@ mod streams; pub mod multilinear; pub mod multilinear_product; pub mod polynomials; -pub use fields::{BabyBear, FpF64, F128, F19, F64, M31}; +pub use fields::{from_mont, to_mont, BabyBear, FpF64, F128, F19, F64, M31}; pub use streams::BenchStream; From a86421d209542f70d92588d643e54c182e5c4a11 Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Mon, 6 Apr 2026 16:29:40 +0200 Subject: [PATCH 09/52] loop unrolling, strategy selection based on input size --- benches/simd_vs_generic.rs | 158 +++++++++++++++++++++++++++++----- src/simd_sumcheck/dispatch.rs | 137 ++++++++++++++++++++++++----- src/simd_sumcheck/evaluate.rs | 35 +++++--- src/simd_sumcheck/reduce.rs | 120 ++++++++++++++++++++++---- 4 files changed, 382 insertions(+), 68 deletions(-) diff --git a/benches/simd_vs_generic.rs b/benches/simd_vs_generic.rs index d6004de2..26a75d1f 100644 --- a/benches/simd_vs_generic.rs +++ b/benches/simd_vs_generic.rs @@ -4,10 +4,12 @@ use criterion::{ criterion_group, criterion_main, measurement::WallTime, BenchmarkGroup, BenchmarkId, Criterion, }; -use efficient_sumcheck::{multilinear_sumcheck, tests::F64, transcript::SanityTranscript}; - -/// Goldilocks modulus for the fixed-challenge benchmark. -const GOLDILOCKS_P: u64 = 0xFFFF_FFFF_0000_0001; +use efficient_sumcheck::{ + multilinear::reductions::pairwise, + multilinear_sumcheck, + tests::F64, + transcript::{SanityTranscript, Transcript}, +}; fn get_bench_group(c: &mut Criterion) -> BenchmarkGroup<'_, WallTime> { let mut group = c.benchmark_group("simd_vs_generic"); @@ -18,10 +20,16 @@ fn get_bench_group(c: &mut Criterion) -> BenchmarkGroup<'_, WallTime> { group } +/// End-to-end sumcheck: SIMD auto-dispatch vs generic pairwise. +/// +/// Both paths use the same SanityTranscript for apples-to-apples comparison. +/// The "auto_dispatch" path goes through `multilinear_sumcheck` which detects +/// Goldilocks and routes to SIMD. The "generic" path calls pairwise +/// evaluate/reduce directly with the same transcript overhead. fn simd_vs_generic_sumcheck(c: &mut Criterion) { let mut group = get_bench_group(c); - for num_vars in [16, 17, 18, 19, 20, 24] { + for num_vars in [16, 18, 20, 24] { let n = 1usize << num_vars; // ── multilinear_sumcheck (auto-dispatches to SIMD for Goldilocks) ── @@ -32,8 +40,7 @@ fn simd_vs_generic_sumcheck(c: &mut Criterion) { bencher.iter_with_setup( || { let mut rng = ark_std::test_rng(); - let evals: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - evals + (0..n).map(|_| F64::rand(&mut rng)).collect::>() }, |mut evals| { let mut rng = ark_std::test_rng(); @@ -47,7 +54,7 @@ fn simd_vs_generic_sumcheck(c: &mut Criterion) { }, ); - // ── Generic pairwise path with fixed challenges (apples-to-apples baseline) ── + // ── Generic pairwise with same SanityTranscript overhead ── group.bench_with_input( BenchmarkId::new("generic_pairwise", format!("2^{}", num_vars)), &num_vars, @@ -55,24 +62,22 @@ fn simd_vs_generic_sumcheck(c: &mut Criterion) { bencher.iter_with_setup( || { let mut rng = ark_std::test_rng(); - let evals: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - evals + (0..n).map(|_| F64::rand(&mut rng)).collect::>() }, |mut evals| { - use efficient_sumcheck::multilinear::reductions::pairwise; + let mut rng = ark_std::test_rng(); + let mut transcript = SanityTranscript::new(&mut rng); let num_rounds = evals.len().trailing_zeros() as usize; - let mut msgs = Vec::with_capacity(num_rounds); - let mut challenge_idx = 0u64; + let mut prover_msgs = Vec::with_capacity(num_rounds); for _ in 0..num_rounds { let msg = pairwise::evaluate(&evals); - msgs.push(msg); - challenge_idx = challenge_idx - .wrapping_mul(6364136223846793005) - .wrapping_add(1); - let chg = F64::from(challenge_idx % GOLDILOCKS_P); + prover_msgs.push(msg); + transcript.write(msg.0); + transcript.write(msg.1); + let chg: F64 = transcript.read(); pairwise::reduce_evaluations(&mut evals, chg); } - black_box(msgs); + black_box(prover_msgs); }, ) }, @@ -82,5 +87,118 @@ fn simd_vs_generic_sumcheck(c: &mut Criterion) { group.finish(); } -criterion_group!(benches, simd_vs_generic_sumcheck); +// ── Isolated evaluate micro-benchmarks ────────────────────────────────────── + +fn bench_evaluate_isolated(c: &mut Criterion) { + use efficient_sumcheck::simd_fields::goldilocks::GoldilocksNeon; + use efficient_sumcheck::simd_sumcheck::evaluate; + + let mut group = c.benchmark_group("evaluate_isolated"); + group + .sample_size(20) + .warm_up_time(Duration::from_secs(1)) + .measurement_time(Duration::from_secs(3)); + + for num_vars in [16, 20, 24] { + let n = 1usize << num_vars; + + group.bench_with_input( + BenchmarkId::new("simd", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + let mut rng = ark_std::test_rng(); + let evals: Vec = (0..n).map(|_| F64::rand(&mut rng).value).collect(); + bencher.iter(|| { + black_box(evaluate::evaluate_parallel::(&evals)); + }); + }, + ); + + group.bench_with_input( + BenchmarkId::new("generic", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + let mut rng = ark_std::test_rng(); + let evals: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + bencher.iter(|| { + black_box(pairwise::evaluate(&evals)); + }); + }, + ); + } + + group.finish(); +} + +// ── Isolated reduce micro-benchmarks ──────────────────────────────────────── + +fn bench_reduce_isolated(c: &mut Criterion) { + use efficient_sumcheck::simd_fields::goldilocks::GoldilocksNeon; + use efficient_sumcheck::simd_sumcheck::reduce; + + let mut group = c.benchmark_group("reduce_isolated"); + group + .sample_size(20) + .warm_up_time(Duration::from_secs(1)) + .measurement_time(Duration::from_secs(3)); + + for num_vars in [16, 20, 24] { + let n = 1usize << num_vars; + + group.bench_with_input( + BenchmarkId::new("simd_parallel", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + let mut rng = ark_std::test_rng(); + let evals: Vec = (0..n).map(|_| F64::rand(&mut rng).value).collect(); + let challenge = F64::rand(&mut rng).value; + bencher.iter(|| { + black_box(reduce::reduce_parallel::(&evals, challenge)); + }); + }, + ); + + group.bench_with_input( + BenchmarkId::new("simd_in_place", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + let mut rng = ark_std::test_rng(); + let evals: Vec = (0..n).map(|_| F64::rand(&mut rng).value).collect(); + let challenge = F64::rand(&mut rng).value; + bencher.iter_with_setup( + || evals.clone(), + |mut e| { + black_box(reduce::reduce_in_place::(&mut e, challenge)); + }, + ); + }, + ); + + group.bench_with_input( + BenchmarkId::new("generic", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + let mut rng = ark_std::test_rng(); + let evals: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let challenge = F64::rand(&mut rng); + bencher.iter_with_setup( + || evals.clone(), + |mut e| { + pairwise::reduce_evaluations(&mut e, challenge); + black_box(e); + }, + ); + }, + ); + } + + group.finish(); +} + +criterion_group!( + benches, + simd_vs_generic_sumcheck, + bench_evaluate_isolated, + bench_reduce_isolated +); criterion_main!(benches); diff --git a/src/simd_sumcheck/dispatch.rs b/src/simd_sumcheck/dispatch.rs index 97ef9ba3..2b9beadb 100644 --- a/src/simd_sumcheck/dispatch.rs +++ b/src/simd_sumcheck/dispatch.rs @@ -82,46 +82,140 @@ pub(crate) fn try_simd_dispatch>( ); use crate::simd_fields::goldilocks::neon::GoldilocksNeon; + + let n = evaluations.len(); + let num_rounds = n.trailing_zeros() as usize; + let mut prover_messages: Vec<(EF, EF)> = Vec::with_capacity(num_rounds); + let mut verifier_messages: Vec = Vec::with_capacity(num_rounds); + + // Two strategies depending on input size: + // + // Small inputs (≤ HYBRID_THRESHOLD): all-SIMD path. + // SIMD evaluate (add) + SIMD in-place reduce (mul). The mul isn't + // truly vectorized on NEON (no 64×64→128), but for small arrays the + // overhead of cross-field reduce + Vec allocation costs more. + // + // Large inputs (> HYBRID_THRESHOLD): hybrid path. + // SIMD evaluate (add, genuine NEON speedup) + generic arkworks + // reduce (rayon-parallel Field ops outperform our scalar-fallback + // SIMD mul at scale). + const HYBRID_THRESHOLD: usize = 1 << 18; // 262144 elements + + if n <= HYBRID_THRESHOLD { + dispatch_all_simd::( + evaluations, + transcript, + num_rounds, + &mut prover_messages, + &mut verifier_messages, + ); + } else { + dispatch_hybrid::( + evaluations, + transcript, + num_rounds, + &mut prover_messages, + &mut verifier_messages, + ); + } + + Some(Sumcheck { + verifier_messages, + prover_messages, + }) +} + +/// All-SIMD path: evaluate + reduce both in raw u64 SIMD. +/// Best for small inputs where allocation overhead dominates. +#[cfg(target_arch = "aarch64")] +fn dispatch_all_simd, S: crate::simd_fields::SimdBaseField>( + evaluations: &[BF], + transcript: &mut impl Transcript, + num_rounds: usize, + prover_messages: &mut Vec<(EF, EF)>, + verifier_messages: &mut Vec, +) { use crate::simd_sumcheck::evaluate::evaluate_parallel; - use crate::simd_sumcheck::reduce::reduce_parallel; + use crate::simd_sumcheck::reduce::reduce_in_place; - // SAFETY: BF/EF are Goldilocks, size_of == 8, layout-compatible with u64. + // SAFETY: BF is Goldilocks, size_of == 8, layout-compatible with u64. let buf: &[u64] = unsafe { core::slice::from_raw_parts(evaluations.as_ptr() as *const u64, evaluations.len()) }; - let n = buf.len(); - let num_rounds = n.trailing_zeros() as usize; - let mut prover_messages: Vec<(EF, EF)> = Vec::with_capacity(num_rounds); - let mut verifier_messages: Vec = Vec::with_capacity(num_rounds); - let mut current = buf.to_vec(); + let mut len = current.len(); for round in 0..num_rounds { - // ── Evaluate: SIMD-vectorized even/odd sums ──────────────────── - let (s0, s1) = evaluate_parallel::(¤t); - - let s0_ef: EF = u64_to_field(s0); - let s1_ef: EF = u64_to_field(s1); + let (s0, s1) = evaluate_parallel::(¤t[..len]); - prover_messages.push((s0_ef, s1_ef)); - transcript.write(s0_ef); - transcript.write(s1_ef); + let msg = (u64_to_field::(s0), u64_to_field::(s1)); + prover_messages.push(msg); + transcript.write(msg.0); + transcript.write(msg.1); - // ── Reduce: fold with verifier challenge ─────────────────────── let chg_ef: EF = transcript.read(); verifier_messages.push(chg_ef); if round < num_rounds - 1 { let chg: u64 = field_to_u64(chg_ef); - current = reduce_parallel::(¤t, chg); + len = reduce_in_place::(&mut current[..len], chg); } } +} - Some(Sumcheck { - verifier_messages, - prover_messages, - }) +/// Hybrid path: SIMD evaluate + generic arkworks reduce. +/// Best for large inputs where rayon-parallel Field reduce dominates. +#[cfg(target_arch = "aarch64")] +fn dispatch_hybrid, S: crate::simd_fields::SimdBaseField>( + evaluations: &[BF], + transcript: &mut impl Transcript, + num_rounds: usize, + prover_messages: &mut Vec<(EF, EF)>, + verifier_messages: &mut Vec, +) { + use crate::multilinear::reductions::pairwise; + use crate::simd_sumcheck::evaluate::evaluate_parallel; + + let n = evaluations.len(); + + if num_rounds == 0 { + return; + } + + // ── Round 0: BF evaluate (SIMD) + cross-field reduce ────────── + let buf: &[u64] = unsafe { + core::slice::from_raw_parts(evaluations.as_ptr() as *const u64, n) + }; + let (s0, s1) = evaluate_parallel::(buf); + + let msg = (u64_to_field::(s0), u64_to_field::(s1)); + prover_messages.push(msg); + transcript.write(msg.0); + transcript.write(msg.1); + + let chg: EF = transcript.read(); + verifier_messages.push(chg); + + let mut ef_evals = pairwise::cross_field_reduce(evaluations, chg); + + // ── Rounds 1+: EF evaluate (SIMD) + EF reduce (generic) ────── + for _ in 1..num_rounds { + let buf: &[u64] = unsafe { + core::slice::from_raw_parts(ef_evals.as_ptr() as *const u64, ef_evals.len()) + }; + let (s0, s1) = evaluate_parallel::(buf); + + let msg = (u64_to_field::(s0), u64_to_field::(s1)); + prover_messages.push(msg); + transcript.write(msg.0); + transcript.write(msg.1); + + let chg: EF = transcript.read(); + verifier_messages.push(chg); + + pairwise::reduce_evaluations(&mut ef_evals, chg); + } } // ─── Helpers: field ↔ u64 conversion ──────────────────────────────────────── @@ -145,3 +239,4 @@ fn field_to_u64(val: F) -> u64 { debug_assert_eq!(core::mem::size_of::(), 8); unsafe { core::mem::transmute_copy(&val) } } + diff --git a/src/simd_sumcheck/evaluate.rs b/src/simd_sumcheck/evaluate.rs index 3151f160..cca31657 100644 --- a/src/simd_sumcheck/evaluate.rs +++ b/src/simd_sumcheck/evaluate.rs @@ -1,6 +1,8 @@ //! SIMD-vectorized pairwise evaluation: computes (sum_even, sum_odd). //! -//! Uses a 4-accumulator unroll for instruction-level parallelism. +//! Uses an 8-accumulator unroll for instruction-level parallelism, +//! which is the sweet spot on NEON (saturates the register file without +//! spilling — see "Proof Systems Engineering" for benchmarking methodology). use crate::simd_fields::SimdBaseField; @@ -14,13 +16,13 @@ use crate::simd_fields::SimdBaseField; /// /// # Panics /// -/// Panics if `src.len()` is not a multiple of `4 * F::LANES` (the unroll factor). +/// Panics if `src.len()` is not a multiple of `8 * F::LANES` (the unroll factor). pub fn evaluate(src: &[F::Scalar]) -> (F::Scalar, F::Scalar) { let lanes = F::LANES; - let step = 4 * lanes; + let step = 8 * lanes; assert!( src.len() % step == 0 || src.is_empty(), - "src.len() ({}) must be a multiple of {} (4 * LANES)", + "src.len() ({}) must be a multiple of {} (8 * LANES)", src.len(), step ); @@ -30,6 +32,10 @@ pub fn evaluate(src: &[F::Scalar]) -> (F::Scalar, F::Scalar) { let mut acc1 = zero; let mut acc2 = zero; let mut acc3 = zero; + let mut acc4 = zero; + let mut acc5 = zero; + let mut acc6 = zero; + let mut acc7 = zero; let ptr = src.as_ptr(); let mut i = 0; @@ -40,18 +46,23 @@ pub fn evaluate(src: &[F::Scalar]) -> (F::Scalar, F::Scalar) { acc1 = F::add(acc1, F::load(ptr.add(i + lanes))); acc2 = F::add(acc2, F::load(ptr.add(i + 2 * lanes))); acc3 = F::add(acc3, F::load(ptr.add(i + 3 * lanes))); + acc4 = F::add(acc4, F::load(ptr.add(i + 4 * lanes))); + acc5 = F::add(acc5, F::load(ptr.add(i + 5 * lanes))); + acc6 = F::add(acc6, F::load(ptr.add(i + 6 * lanes))); + acc7 = F::add(acc7, F::load(ptr.add(i + 7 * lanes))); } i += step; } - // Combine accumulators element-wise. - // With LANES=2 and pairwise storage [f(0), f(1), f(2), f(3), ...]: - // each load of 2 elements gives lane 0 = even-indexed, lane 1 = odd-indexed. - // After accumulating: total[0] = sum of all even-indexed, total[1] = sum of all odd-indexed. - let total = F::add(F::add(acc0, acc1), F::add(acc2, acc3)); + // Combine accumulators in a tree to keep ILP. + let total = F::add( + F::add(F::add(acc0, acc1), F::add(acc2, acc3)), + F::add(F::add(acc4, acc5), F::add(acc6, acc7)), + ); // Extract lanes and sum even/odd groups. - let mut lanes_buf: Vec = vec![F::ZERO; F::LANES]; + let mut lanes_buf = [F::ZERO; 16]; + debug_assert!(F::LANES <= 16); unsafe { F::store(lanes_buf.as_mut_ptr(), total) }; let mut even_sum = F::ZERO; @@ -77,7 +88,7 @@ pub fn evaluate_parallel(src: &[F::Scalar]) -> (F::Scalar, F:: let chunk_size: usize = 32_768; let lanes = F::LANES; - let step = 4 * lanes; + let step = 8 * lanes; let chunk_size = chunk_size.div_ceil(step) * step; if src.len() <= chunk_size { @@ -135,7 +146,7 @@ pub fn evaluate_parallel(src: &[F::Scalar]) -> (F::Scalar, F:: #[cfg(not(feature = "parallel"))] pub fn evaluate_parallel(src: &[F::Scalar]) -> (F::Scalar, F::Scalar) { let lanes = F::LANES; - let step = 4 * lanes; + let step = 8 * lanes; let aligned_len = (src.len() / step) * step; let (mut even, mut odd) = if aligned_len > 0 { diff --git a/src/simd_sumcheck/reduce.rs b/src/simd_sumcheck/reduce.rs index 3d3e6027..eec72af2 100644 --- a/src/simd_sumcheck/reduce.rs +++ b/src/simd_sumcheck/reduce.rs @@ -7,46 +7,136 @@ use crate::simd_fields::SimdBaseField; /// SIMD-vectorized pairwise reduce, producing a new Vec. +/// +/// Uses 4× loop unrolling for instruction-level parallelism. +/// (8× was benchmarked but regressed due to register pressure from mul.) +/// Stack-allocated deinterleave buffers avoid per-iteration heap allocation. pub fn reduce_to_vec(src: &[F::Scalar], challenge: F::Scalar) -> Vec { let n = src.len() / 2; let mut out = vec![F::ZERO; n]; let lanes = F::LANES; let challenge_v = F::splat(challenge); - let aligned = (n / lanes) * lanes; + let step = 4 * lanes; // 4× unroll + let aligned = (n / step) * step; + + // Stack-allocated deinterleave buffers (LANES is small: 2 for NEON u64). + debug_assert!(lanes <= 16); + let mut ab = [([F::ZERO; 16], [F::ZERO; 16]); 4]; + + let mut i = 0; + while i < aligned { + // Deinterleave 4 groups of LANES pairs + for g in 0..4 { + for j in 0..lanes { + let s = 2 * (i + g * lanes + j); + ab[g].0[j] = src[s]; + ab[g].1[j] = src[s + 1]; + } + } + + unsafe { + for g in 0..4 { + let av = F::load(ab[g].0.as_ptr()); + let bv = F::load(ab[g].1.as_ptr()); + let r = F::add(av, F::mul(challenge_v, F::sub(bv, av))); + F::store(out[i + g * lanes..].as_mut_ptr(), r); + } + } - for i in (0..aligned).step_by(lanes) { - let src_idx = 2 * i; - let mut a_buf = vec![F::ZERO; lanes]; - let mut b_buf = vec![F::ZERO; lanes]; + i += step; + } + // Handle remaining full SIMD vectors (1–3 vectors that didn't fill a 4× group) + while i + lanes <= n { for j in 0..lanes { - a_buf[j] = src[src_idx + 2 * j]; - b_buf[j] = src[src_idx + 2 * j + 1]; + ab[0].0[j] = src[2 * (i + j)]; + ab[0].1[j] = src[2 * (i + j) + 1]; } - unsafe { - let a_v = F::load(a_buf.as_ptr()); - let b_v = F::load(b_buf.as_ptr()); - let diff = F::sub(b_v, a_v); - let scaled = F::mul(challenge_v, diff); - let result = F::add(a_v, scaled); - F::store(out[i..].as_mut_ptr(), result); + let av = F::load(ab[0].0.as_ptr()); + let bv = F::load(ab[0].1.as_ptr()); + let r = F::add(av, F::mul(challenge_v, F::sub(bv, av))); + F::store(out[i..].as_mut_ptr(), r); } + i += lanes; } // Scalar tail - for i in aligned..n { + while i < n { let a = src[2 * i]; let b = src[2 * i + 1]; let diff = F::scalar_sub(b, a); let scaled = F::scalar_mul(challenge, diff); out[i] = F::scalar_add(a, scaled); + i += 1; } out } +/// SIMD-vectorized pairwise reduce, in-place. +/// +/// Reads pairs from the first `2*n` positions, writes results to `src[0..n]`. +/// Returns the output length `n`. +pub fn reduce_in_place(src: &mut [F::Scalar], challenge: F::Scalar) -> usize { + let n = src.len() / 2; + let lanes = F::LANES; + let challenge_v = F::splat(challenge); + let step = 4 * lanes; + let aligned = (n / step) * step; + + debug_assert!(lanes <= 16); + let mut ab = [([F::ZERO; 16], [F::ZERO; 16]); 4]; + + let mut i = 0; + while i < aligned { + for g in 0..4 { + for j in 0..lanes { + let s = 2 * (i + g * lanes + j); + ab[g].0[j] = src[s]; + ab[g].1[j] = src[s + 1]; + } + } + + unsafe { + for g in 0..4 { + let av = F::load(ab[g].0.as_ptr()); + let bv = F::load(ab[g].1.as_ptr()); + let r = F::add(av, F::mul(challenge_v, F::sub(bv, av))); + F::store(src[i + g * lanes..].as_mut_ptr(), r); + } + } + + i += step; + } + + while i + lanes <= n { + for j in 0..lanes { + ab[0].0[j] = src[2 * (i + j)]; + ab[0].1[j] = src[2 * (i + j) + 1]; + } + unsafe { + let av = F::load(ab[0].0.as_ptr()); + let bv = F::load(ab[0].1.as_ptr()); + let r = F::add(av, F::mul(challenge_v, F::sub(bv, av))); + F::store(src[i..].as_mut_ptr(), r); + } + i += lanes; + } + + while i < n { + let a = src[2 * i]; + let b = src[2 * i + 1]; + let diff = F::scalar_sub(b, a); + let scaled = F::scalar_mul(challenge, diff); + src[i] = F::scalar_add(a, scaled); + i += 1; + } + + n +} + /// Parallel SIMD reduce (producing a new Vec). #[cfg(feature = "parallel")] pub fn reduce_parallel( From 2cf1b9bddf45bc7ede22ab8bab5f8a4624deab5c Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Mon, 6 Apr 2026 18:00:15 +0200 Subject: [PATCH 10/52] fmt and clippy --- src/simd_sumcheck/dispatch.rs | 22 +++++++++++++--------- src/simd_sumcheck/reduce.rs | 24 ++++++++++++------------ 2 files changed, 25 insertions(+), 21 deletions(-) diff --git a/src/simd_sumcheck/dispatch.rs b/src/simd_sumcheck/dispatch.rs index 2b9beadb..e5889a88 100644 --- a/src/simd_sumcheck/dispatch.rs +++ b/src/simd_sumcheck/dispatch.rs @@ -128,7 +128,11 @@ pub(crate) fn try_simd_dispatch>( /// All-SIMD path: evaluate + reduce both in raw u64 SIMD. /// Best for small inputs where allocation overhead dominates. #[cfg(target_arch = "aarch64")] -fn dispatch_all_simd, S: crate::simd_fields::SimdBaseField>( +fn dispatch_all_simd< + BF: Field, + EF: Field + From, + S: crate::simd_fields::SimdBaseField, +>( evaluations: &[BF], transcript: &mut impl Transcript, num_rounds: usize, @@ -167,7 +171,11 @@ fn dispatch_all_simd, S: crate::simd_fields::Sim /// Hybrid path: SIMD evaluate + generic arkworks reduce. /// Best for large inputs where rayon-parallel Field reduce dominates. #[cfg(target_arch = "aarch64")] -fn dispatch_hybrid, S: crate::simd_fields::SimdBaseField>( +fn dispatch_hybrid< + BF: Field, + EF: Field + From, + S: crate::simd_fields::SimdBaseField, +>( evaluations: &[BF], transcript: &mut impl Transcript, num_rounds: usize, @@ -184,9 +192,7 @@ fn dispatch_hybrid, S: crate::simd_fields::SimdB } // ── Round 0: BF evaluate (SIMD) + cross-field reduce ────────── - let buf: &[u64] = unsafe { - core::slice::from_raw_parts(evaluations.as_ptr() as *const u64, n) - }; + let buf: &[u64] = unsafe { core::slice::from_raw_parts(evaluations.as_ptr() as *const u64, n) }; let (s0, s1) = evaluate_parallel::(buf); let msg = (u64_to_field::(s0), u64_to_field::(s1)); @@ -201,9 +207,8 @@ fn dispatch_hybrid, S: crate::simd_fields::SimdB // ── Rounds 1+: EF evaluate (SIMD) + EF reduce (generic) ────── for _ in 1..num_rounds { - let buf: &[u64] = unsafe { - core::slice::from_raw_parts(ef_evals.as_ptr() as *const u64, ef_evals.len()) - }; + let buf: &[u64] = + unsafe { core::slice::from_raw_parts(ef_evals.as_ptr() as *const u64, ef_evals.len()) }; let (s0, s1) = evaluate_parallel::(buf); let msg = (u64_to_field::(s0), u64_to_field::(s1)); @@ -239,4 +244,3 @@ fn field_to_u64(val: F) -> u64 { debug_assert_eq!(core::mem::size_of::(), 8); unsafe { core::mem::transmute_copy(&val) } } - diff --git a/src/simd_sumcheck/reduce.rs b/src/simd_sumcheck/reduce.rs index eec72af2..d3e5ce8d 100644 --- a/src/simd_sumcheck/reduce.rs +++ b/src/simd_sumcheck/reduce.rs @@ -27,18 +27,18 @@ pub fn reduce_to_vec(src: &[F::Scalar], challenge: F::Scalar) let mut i = 0; while i < aligned { // Deinterleave 4 groups of LANES pairs - for g in 0..4 { + for (g, group) in ab.iter_mut().enumerate() { for j in 0..lanes { let s = 2 * (i + g * lanes + j); - ab[g].0[j] = src[s]; - ab[g].1[j] = src[s + 1]; + group.0[j] = src[s]; + group.1[j] = src[s + 1]; } } unsafe { - for g in 0..4 { - let av = F::load(ab[g].0.as_ptr()); - let bv = F::load(ab[g].1.as_ptr()); + for (g, group) in ab.iter().enumerate() { + let av = F::load(group.0.as_ptr()); + let bv = F::load(group.1.as_ptr()); let r = F::add(av, F::mul(challenge_v, F::sub(bv, av))); F::store(out[i + g * lanes..].as_mut_ptr(), r); } @@ -91,18 +91,18 @@ pub fn reduce_in_place(src: &mut [F::Scalar], challenge: F::Sc let mut i = 0; while i < aligned { - for g in 0..4 { + for (g, group) in ab.iter_mut().enumerate() { for j in 0..lanes { let s = 2 * (i + g * lanes + j); - ab[g].0[j] = src[s]; - ab[g].1[j] = src[s + 1]; + group.0[j] = src[s]; + group.1[j] = src[s + 1]; } } unsafe { - for g in 0..4 { - let av = F::load(ab[g].0.as_ptr()); - let bv = F::load(ab[g].1.as_ptr()); + for (g, group) in ab.iter().enumerate() { + let av = F::load(group.0.as_ptr()); + let bv = F::load(group.1.as_ptr()); let r = F::add(av, F::mul(challenge_v, F::sub(bv, av))); F::store(src[i + g * lanes..].as_mut_ptr(), r); } From 61c61a7dbba80c049e62eeb438be56c790b0005a Mon Sep 17 00:00:00 2001 From: EC2 Default User Date: Tue, 7 Apr 2026 13:54:35 +0000 Subject: [PATCH 11/52] avx --- benches/simd_vs_generic.rs | 125 +++++++- src/multilinear_sumcheck.rs | 5 +- src/simd_fields/goldilocks/avx512.rs | 429 +++++++++++++++++++++++++++ src/simd_fields/goldilocks/mod.rs | 10 + src/simd_fields/mod.rs | 22 +- src/simd_sumcheck/dispatch.rs | 78 +++-- src/simd_sumcheck/evaluate.rs | 9 +- src/simd_sumcheck/reduce.rs | 103 +++---- 8 files changed, 692 insertions(+), 89 deletions(-) create mode 100644 src/simd_fields/goldilocks/avx512.rs diff --git a/benches/simd_vs_generic.rs b/benches/simd_vs_generic.rs index 26a75d1f..4f23b487 100644 --- a/benches/simd_vs_generic.rs +++ b/benches/simd_vs_generic.rs @@ -90,7 +90,10 @@ fn simd_vs_generic_sumcheck(c: &mut Criterion) { // ── Isolated evaluate micro-benchmarks ────────────────────────────────────── fn bench_evaluate_isolated(c: &mut Criterion) { - use efficient_sumcheck::simd_fields::goldilocks::GoldilocksNeon; + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] + use efficient_sumcheck::simd_fields::goldilocks::GoldilocksAvx512 as SimdBackend; + #[cfg(target_arch = "aarch64")] + use efficient_sumcheck::simd_fields::goldilocks::GoldilocksNeon as SimdBackend; use efficient_sumcheck::simd_sumcheck::evaluate; let mut group = c.benchmark_group("evaluate_isolated"); @@ -109,7 +112,7 @@ fn bench_evaluate_isolated(c: &mut Criterion) { let mut rng = ark_std::test_rng(); let evals: Vec = (0..n).map(|_| F64::rand(&mut rng).value).collect(); bencher.iter(|| { - black_box(evaluate::evaluate_parallel::(&evals)); + black_box(evaluate::evaluate_parallel::(&evals)); }); }, ); @@ -133,7 +136,10 @@ fn bench_evaluate_isolated(c: &mut Criterion) { // ── Isolated reduce micro-benchmarks ──────────────────────────────────────── fn bench_reduce_isolated(c: &mut Criterion) { - use efficient_sumcheck::simd_fields::goldilocks::GoldilocksNeon; + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] + use efficient_sumcheck::simd_fields::goldilocks::GoldilocksAvx512 as SimdBackend; + #[cfg(target_arch = "aarch64")] + use efficient_sumcheck::simd_fields::goldilocks::GoldilocksNeon as SimdBackend; use efficient_sumcheck::simd_sumcheck::reduce; let mut group = c.benchmark_group("reduce_isolated"); @@ -153,7 +159,7 @@ fn bench_reduce_isolated(c: &mut Criterion) { let evals: Vec = (0..n).map(|_| F64::rand(&mut rng).value).collect(); let challenge = F64::rand(&mut rng).value; bencher.iter(|| { - black_box(reduce::reduce_parallel::(&evals, challenge)); + black_box(reduce::reduce_parallel::(&evals, challenge)); }); }, ); @@ -168,7 +174,7 @@ fn bench_reduce_isolated(c: &mut Criterion) { bencher.iter_with_setup( || evals.clone(), |mut e| { - black_box(reduce::reduce_in_place::(&mut e, challenge)); + black_box(reduce::reduce_in_place::(&mut e, challenge)); }, ); }, @@ -195,10 +201,117 @@ fn bench_reduce_isolated(c: &mut Criterion) { group.finish(); } +// ── Eval+Reduce loop (no transcript overhead) ─────────────────────────────── + +fn bench_eval_reduce_loop(c: &mut Criterion) { + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] + use efficient_sumcheck::simd_fields::goldilocks::GoldilocksAvx512 as SimdBackend; + #[cfg(target_arch = "aarch64")] + use efficient_sumcheck::simd_fields::goldilocks::GoldilocksNeon as SimdBackend; + use efficient_sumcheck::simd_sumcheck::{evaluate, reduce}; + + let mut group = c.benchmark_group("eval_reduce_loop"); + group + .sample_size(10) + .warm_up_time(Duration::from_secs(2)) + .measurement_time(Duration::from_secs(5)); + + for num_vars in [16, 20, 24] { + let n = 1usize << num_vars; + + // Minimal loop with per-round random challenge (no copy overhead) + group.bench_with_input( + BenchmarkId::new("simd_loop", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + bencher.iter_with_setup( + || { + let mut rng = ark_std::test_rng(); + let evals: Vec = (0..n).map(|_| F64::rand(&mut rng).value).collect(); + let challenges: Vec = + (0..num_vars).map(|_| F64::rand(&mut rng).value).collect(); + (evals, challenges) + }, + |(mut current, challenges)| { + let mut len = current.len(); + for round in 0..num_vars { + let _ = evaluate::evaluate_parallel::(¤t[..len]); + len = reduce::reduce_in_place::( + &mut current[..len], + challenges[round], + ); + } + black_box(current); + }, + ); + }, + ); + + // Copy moved to setup (isolates compute from allocation) + group.bench_with_input( + BenchmarkId::new("simd_dispatch_like", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + bencher.iter_with_setup( + || { + let mut rng = ark_std::test_rng(); + let evals: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let buf: &[u64] = unsafe { + core::slice::from_raw_parts(evals.as_ptr() as *const u64, evals.len()) + }; + let current = buf.to_vec(); + let challenges: Vec = + (0..num_vars).map(|_| F64::rand(&mut rng).value).collect(); + (current, challenges) + }, + |(mut current, challenges)| { + let mut len = current.len(); + for round in 0..num_vars { + let (s0, s1) = + evaluate::evaluate_parallel::(¤t[..len]); + black_box((s0, s1)); + len = reduce::reduce_in_place::( + &mut current[..len], + challenges[round], + ); + } + black_box(current); + }, + ); + }, + ); + + group.bench_with_input( + BenchmarkId::new("generic_loop", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + bencher.iter_with_setup( + || { + let mut rng = ark_std::test_rng(); + let evals: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let challenge = F64::rand(&mut rng); + (evals, challenge) + }, + |(mut evals, challenge)| { + for _ in 0..num_vars { + let _ = pairwise::evaluate(&evals); + pairwise::reduce_evaluations(&mut evals, challenge); + } + black_box(evals); + }, + ); + }, + ); + } + + group.finish(); +} + criterion_group!( benches, simd_vs_generic_sumcheck, bench_evaluate_isolated, - bench_reduce_isolated + bench_reduce_isolated, + bench_eval_reduce_loop ); criterion_main!(benches); diff --git a/src/multilinear_sumcheck.rs b/src/multilinear_sumcheck.rs index b2692243..7dc34616 100644 --- a/src/multilinear_sumcheck.rs +++ b/src/multilinear_sumcheck.rs @@ -57,7 +57,10 @@ pub fn multilinear_sumcheck>( // When BF == EF and BF has a SIMD backend, transparently route to the // fast SIMD path. The TypeId checks evaluate to compile-time constants // in monomorphized code, so LLVM eliminates the dead branch — zero cost. - #[cfg(target_arch = "aarch64")] + #[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") + ))] if let Some(result) = crate::simd_sumcheck::dispatch::try_simd_dispatch::(evaluations, transcript) { diff --git a/src/simd_fields/goldilocks/avx512.rs b/src/simd_fields/goldilocks/avx512.rs new file mode 100644 index 00000000..f5f90aac --- /dev/null +++ b/src/simd_fields/goldilocks/avx512.rs @@ -0,0 +1,429 @@ +//! Montgomery-form Goldilocks AVX-512 IFMA backend. +//! +//! Operates directly on Montgomery-form values (as stored by arkworks `Fp64`), +//! enabling zero-cost `transmute` from `&[F64]` to `&[u64]`. +//! +//! Uses AVX-512 IFMA (52-bit multiply-accumulate) for true 8-wide vectorized +//! Montgomery multiplication. Unlike the NEON backend (which falls back to +//! scalar mont_mul per lane because NEON lacks 64x64->128 multiply), this +//! backend decomposes operands into 52-bit limbs and uses `vpmadd52luq` / +//! `vpmadd52huq` for a fully vectorized schoolbook multiply. Montgomery +//! reduction exploits the Goldilocks prime structure (P = 2^64 - 2^32 + 1) +//! to avoid additional IFMA multiplies — only shifts, adds, and subtracts. + +use core::arch::x86_64::*; + +use super::super::SimdBaseField; + +/// Goldilocks modulus: P = 2^64 - 2^32 + 1. +const P: u64 = 0xFFFF_FFFF_0000_0001; + +/// ε = 2^64 mod P = 2^32 - 1 (used for add/sub overflow correction). +const EPSILON: u64 = 0xFFFF_FFFF; + +/// Montgomery constant: INV = -P^{-1} mod 2^64. +const INV: u64 = 0xFFFF_FFFE_FFFF_FFFF; + +/// Montgomery ONE = R mod P = 2^64 mod P = EPSILON. +const MONT_ONE: u64 = EPSILON; + +/// Montgomery ZERO = 0 (same in both domains). +const MONT_ZERO: u64 = 0; + +/// Mask for lower 52 bits (IFMA operand width). +const MASK52: u64 = (1u64 << 52) - 1; + +#[derive(Copy, Clone)] +pub struct GoldilocksAvx512; + +impl SimdBaseField for GoldilocksAvx512 { + type Scalar = u64; + type Packed = __m512i; + const LANES: usize = 8; + const MODULUS: u64 = P; + const ZERO: u64 = MONT_ZERO; + const ONE: u64 = MONT_ONE; + + #[inline(always)] + fn splat(val: u64) -> __m512i { + unsafe { _mm512_set1_epi64(val as i64) } + } + + #[inline(always)] + unsafe fn load(ptr: *const u64) -> __m512i { + unsafe { _mm512_loadu_si512(ptr.cast()) } + } + + #[inline(always)] + unsafe fn store(ptr: *mut u64, v: __m512i) { + unsafe { _mm512_storeu_si512(ptr.cast(), v) } + } + + // Add/sub are identical in canonical and Montgomery domain. + + #[inline(always)] + fn add(a: __m512i, b: __m512i) -> __m512i { + unsafe { + let sum = _mm512_add_epi64(a, b); + let p_vec = _mm512_set1_epi64(P as i64); + let eps_vec = _mm512_set1_epi64(EPSILON as i64); + + // Detect unsigned overflow: sum < a means carry occurred + let carry = _mm512_cmplt_epu64_mask(sum, a); + // Detect sum >= P (only relevant when no carry) + let ge_p = !_mm512_cmplt_epu64_mask(sum, p_vec); // >= is NOT < + + // Carry path: sum + ε (2^64 ≡ ε mod P, result guaranteed < P) + let result = _mm512_mask_add_epi64(sum, carry, sum, eps_vec); + // No-carry, >= P path: sum - P + let need_sub = ge_p & !carry; + _mm512_mask_sub_epi64(result, need_sub, result, p_vec) + } + } + + #[inline(always)] + fn sub(a: __m512i, b: __m512i) -> __m512i { + unsafe { + let diff = _mm512_sub_epi64(a, b); + let p_vec = _mm512_set1_epi64(P as i64); + // Borrow when a < b (unsigned) + let borrow = _mm512_cmplt_epu64_mask(a, b); + _mm512_mask_add_epi64(diff, borrow, diff, p_vec) + } + } + + #[inline(always)] + fn mul(a: __m512i, b: __m512i) -> __m512i { + // True 8-wide Montgomery multiplication via IFMA 52-bit decomposition. + // + // 1. Schoolbook 64×64→128 product using 52-bit limbs + IFMA + // 2. Montgomery reduction factor m via Goldilocks structure: + // INV = -(2^32+1) mod 2^64, so m = -(lo + lo<<32) — no multiply + // 3. m*P via P = 2^64 - 2^32 + 1 — shifts and subtracts only + // 4. result = (product + m*P) >> 64, conditional subtract P + unsafe { avx512_mont_mul(a, b) } + } + + #[inline(always)] + unsafe fn load_deinterleaved(ptr: *const u64) -> (__m512i, __m512i) { + unsafe { + let v0 = _mm512_loadu_si512(ptr.cast()); // [a0,b0,a1,b1,a2,b2,a3,b3] + let v1 = _mm512_loadu_si512(ptr.add(8).cast()); // [a4,b4,a5,b5,a6,b6,a7,b7] + let idx_even = _mm512_set_epi64(14, 12, 10, 8, 6, 4, 2, 0); + let idx_odd = _mm512_set_epi64(15, 13, 11, 9, 7, 5, 3, 1); + let evens = _mm512_permutex2var_epi64(v0, idx_even, v1); + let odds = _mm512_permutex2var_epi64(v0, idx_odd, v1); + (evens, odds) + } + } + + #[inline(always)] + fn scalar_add(a: u64, b: u64) -> u64 { + let (sum, carry) = a.overflowing_add(b); + if carry { + sum + EPSILON + } else if sum >= P { + sum - P + } else { + sum + } + } + + #[inline(always)] + fn scalar_sub(a: u64, b: u64) -> u64 { + if a >= b { + a - b + } else { + a.wrapping_sub(b).wrapping_add(P) + } + } + + #[inline(always)] + fn scalar_mul(a: u64, b: u64) -> u64 { + mont_mul(a, b) + } +} + +/// AVX-512 IFMA Montgomery multiplication (8-wide). +/// +/// Decomposes each 64-bit operand into two 52-bit limbs, performs a +/// schoolbook multiply using `vpmadd52luq`/`vpmadd52huq` (6 IFMA ops), +/// then reduces via the Goldilocks prime structure using only shifts, +/// adds, and masked operations — no additional multiplies needed. +#[inline(always)] +unsafe fn avx512_mont_mul(a: __m512i, b: __m512i) -> __m512i { + let zero = _mm512_setzero_si512(); + let mask52_vec = _mm512_set1_epi64(MASK52 as i64); + let p_vec = _mm512_set1_epi64(P as i64); + let ones = _mm512_set1_epi64(1); + + // ── Decompose into 52-bit limbs ── + let a0 = _mm512_and_si512(a, mask52_vec); // low 52 bits + let a1 = _mm512_srli_epi64(a, 52); // high 12 bits + let b0 = _mm512_and_si512(b, mask52_vec); + let b1 = _mm512_srli_epi64(b, 52); + + // ── Schoolbook multiply in base-2^52 (6 IFMA ops) ── + // Limb 0: lo52(a0*b0) — exactly 52 bits + let c0 = _mm512_madd52lo_epu64(zero, a0, b0); + + // Limb 1: hi52(a0*b0) + lo52(a0*b1) + lo52(a1*b0) — up to ~54 bits + let c1 = _mm512_madd52hi_epu64(zero, a0, b0); + let c1 = _mm512_madd52lo_epu64(c1, a0, b1); + let c1 = _mm512_madd52lo_epu64(c1, a1, b0); + + // Limb 2: hi52(a0*b1) + hi52(a1*b0) + lo52(a1*b1) — up to ~25 bits + let c2 = _mm512_madd52hi_epu64(zero, a0, b1); + let c2 = _mm512_madd52hi_epu64(c2, a1, b0); + let c2 = _mm512_madd52lo_epu64(c2, a1, b1); + + // ── Carry propagation: c1 → c2 ── + let carry = _mm512_srli_epi64(c1, 52); + let c1 = _mm512_and_si512(c1, mask52_vec); // now exactly 52 bits + let c2 = _mm512_add_epi64(c2, carry); + + // ── Reconstruct (lo64, hi64) of the 128-bit product ── + // lo64 = c0[0:51] | c1[0:11] << 52 + let lo = _mm512_or_si512(c0, _mm512_slli_epi64(c1, 52)); + // hi64 = c1[12:51] | c2 << 40 (non-overlapping since c1>>12 is 40 bits) + let hi = _mm512_or_si512(_mm512_srli_epi64(c1, 12), _mm512_slli_epi64(c2, 40)); + + // ── Montgomery reduction using Goldilocks structure ── + // + // m = lo * INV mod 2^64 + // INV = -(2^32 + 1) mod 2^64, so m = -(lo + lo<<32) — no multiply! + let lo_shl32 = _mm512_slli_epi64(lo, 32); + let temp = _mm512_add_epi64(lo, lo_shl32); + let m = _mm512_sub_epi64(zero, temp); + + // m * P where P = 2^64 - 2^32 + 1: + // m*P = m*2^64 + m*(1 - 2^32) + // lo(m*P) = (m - m<<32) mod 2^64 + // hi(m*P) = m - (m>>32) - borrow_from_lo + // + // The m*2^32 term spans two 64-bit words: hi = m>>32, lo = m<<32. + let m_shl32 = _mm512_slli_epi64(m, 32); + let m_shr32 = _mm512_srli_epi64(m, 32); + let borrow_mask = _mm512_cmplt_epu64_mask(m, m_shl32); + let hi_mp = _mm512_sub_epi64(m, m_shr32); + let hi_mp = _mm512_mask_sub_epi64(hi_mp, borrow_mask, hi_mp, ones); + + // result = (product + m*P) >> 64 + // Since lo + lo(m*P) ≡ 0 mod 2^64 by construction, the carry is (lo != 0). + let lo_nonzero = !_mm512_cmpeq_epu64_mask(lo, zero); + let carry_from_lo = _mm512_maskz_set1_epi64(lo_nonzero, 1); + + // r = hi + hi(m*P) + carry + let r1 = _mm512_add_epi64(hi, hi_mp); + let c2_mask = _mm512_cmplt_epu64_mask(r1, hi); // overflow from first add + + let r2 = _mm512_add_epi64(r1, carry_from_lo); + let c3_mask = _mm512_cmplt_epu64_mask(r2, r1); // overflow from second add + + // ── Final reduction: subtract P if carry or result >= P ── + let ge_p = !_mm512_cmplt_epu64_mask(r2, p_vec); + let need_sub = c2_mask | c3_mask | ge_p; + _mm512_mask_sub_epi64(r2, need_sub, r2, p_vec) +} + +/// Montgomery multiplication for single-limb Goldilocks (scalar). +/// +/// Computes `mont_mul(a, b) = a * b * R^{-1} mod P` where R = 2^64. +/// CIOS algorithm for N=1, identical to arkworks' `MontBackend`. +#[inline(always)] +fn mont_mul(a: u64, b: u64) -> u64 { + let full = (a as u128) * (b as u128); + let lo = full as u64; + let hi = (full >> 64) as u64; + + let k = lo.wrapping_mul(INV); + + let t = (k as u128) * (P as u128); + let t_lo = t as u64; + let t_hi = (t >> 64) as u64; + + let (_, carry) = lo.overflowing_add(t_lo); + let (mut result, carry2) = hi.overflowing_add(t_hi); + let (result2, carry3) = result.overflowing_add(carry as u64); + result = result2; + + if carry2 || carry3 || result >= P { + result = result.wrapping_sub(P); + } + + result +} + +#[cfg(test)] +mod tests { + use super::*; + use crate::tests::{from_mont, to_mont, F64}; + use ark_ff::{AdditiveGroup, UniformRand}; + use ark_std::test_rng; + + #[test] + fn test_mont_mul_matches_arkworks() { + let mut rng = test_rng(); + for _ in 0..100_000 { + let a = F64::rand(&mut rng); + let b = F64::rand(&mut rng); + let expected = a * b; + let result = from_mont(mont_mul(to_mont(a), to_mont(b))); + assert_eq!( + expected, result, + "mont_mul mismatch for a={:?}, b={:?}", + a, b + ); + } + } + + #[test] + fn test_mont_add_matches_arkworks() { + let mut rng = test_rng(); + for _ in 0..100_000 { + let a = F64::rand(&mut rng); + let b = F64::rand(&mut rng); + let expected = a + b; + let result = from_mont(GoldilocksAvx512::scalar_add(to_mont(a), to_mont(b))); + assert_eq!(expected, result); + } + } + + #[test] + fn test_mont_sub_matches_arkworks() { + let mut rng = test_rng(); + for _ in 0..100_000 { + let a = F64::rand(&mut rng); + let b = F64::rand(&mut rng); + let expected = a - b; + let result = from_mont(GoldilocksAvx512::scalar_sub(to_mont(a), to_mont(b))); + assert_eq!(expected, result); + } + } + + #[test] + fn test_avx512_mont_mul() { + let mut rng = test_rng(); + for _ in 0..10_000 { + let a: [F64; 8] = core::array::from_fn(|_| F64::rand(&mut rng)); + let b: [F64; 8] = core::array::from_fn(|_| F64::rand(&mut rng)); + + let a_raw: [u64; 8] = core::array::from_fn(|i| to_mont(a[i])); + let b_raw: [u64; 8] = core::array::from_fn(|i| to_mont(b[i])); + + let a_v = unsafe { GoldilocksAvx512::load(a_raw.as_ptr()) }; + let b_v = unsafe { GoldilocksAvx512::load(b_raw.as_ptr()) }; + let r_v = GoldilocksAvx512::mul(a_v, b_v); + + let mut result = [0u64; 8]; + unsafe { GoldilocksAvx512::store(result.as_mut_ptr(), r_v) }; + + for i in 0..8 { + assert_eq!(from_mont(result[i]), a[i] * b[i], "lane {i} mul mismatch"); + } + } + } + + #[test] + fn test_avx512_add() { + let mut rng = test_rng(); + for _ in 0..10_000 { + let a: [F64; 8] = core::array::from_fn(|_| F64::rand(&mut rng)); + let b: [F64; 8] = core::array::from_fn(|_| F64::rand(&mut rng)); + + let a_raw: [u64; 8] = core::array::from_fn(|i| to_mont(a[i])); + let b_raw: [u64; 8] = core::array::from_fn(|i| to_mont(b[i])); + + let a_v = unsafe { GoldilocksAvx512::load(a_raw.as_ptr()) }; + let b_v = unsafe { GoldilocksAvx512::load(b_raw.as_ptr()) }; + let r_v = GoldilocksAvx512::add(a_v, b_v); + + let mut result = [0u64; 8]; + unsafe { GoldilocksAvx512::store(result.as_mut_ptr(), r_v) }; + + for i in 0..8 { + assert_eq!(from_mont(result[i]), a[i] + b[i], "lane {i} add mismatch"); + } + } + } + + #[test] + fn test_avx512_sub() { + let mut rng = test_rng(); + for _ in 0..10_000 { + let a: [F64; 8] = core::array::from_fn(|_| F64::rand(&mut rng)); + let b: [F64; 8] = core::array::from_fn(|_| F64::rand(&mut rng)); + + let a_raw: [u64; 8] = core::array::from_fn(|i| to_mont(a[i])); + let b_raw: [u64; 8] = core::array::from_fn(|i| to_mont(b[i])); + + let a_v = unsafe { GoldilocksAvx512::load(a_raw.as_ptr()) }; + let b_v = unsafe { GoldilocksAvx512::load(b_raw.as_ptr()) }; + let r_v = GoldilocksAvx512::sub(a_v, b_v); + + let mut result = [0u64; 8]; + unsafe { GoldilocksAvx512::store(result.as_mut_ptr(), r_v) }; + + for i in 0..8 { + assert_eq!(from_mont(result[i]), a[i] - b[i], "lane {i} sub mismatch"); + } + } + } + + #[test] + fn test_transmute_roundtrip() { + let mut rng = test_rng(); + for _ in 0..10_000 { + let f = F64::rand(&mut rng); + let mont = to_mont(f); + let back = from_mont(mont); + assert_eq!(f, back, "transmute roundtrip failed"); + } + } + + #[test] + fn test_edge_cases() { + use ark_ff::Field; + let zero = F64::ZERO; + let one = F64::ONE; + let neg_one = -F64::ONE; + + // 0 * anything = 0 + assert_eq!(from_mont(mont_mul(to_mont(zero), to_mont(neg_one))), zero); + // 1 * x = x + assert_eq!(from_mont(mont_mul(to_mont(one), to_mont(neg_one))), neg_one); + // (-1) * (-1) = 1 + assert_eq!(from_mont(mont_mul(to_mont(neg_one), to_mont(neg_one))), one); + } + + #[test] + fn test_avx512_edge_cases_vectorized() { + use ark_ff::Field; + let zero = F64::ZERO; + let one = F64::ONE; + let neg_one = -F64::ONE; + + // Test with all-zero, all-one, all-neg_one, and mixed lanes + let a_vals = [zero, one, neg_one, one, zero, neg_one, one, neg_one]; + let b_vals = [neg_one, neg_one, neg_one, one, zero, one, zero, zero]; + let expected: [F64; 8] = core::array::from_fn(|i| a_vals[i] * b_vals[i]); + + let a_raw: [u64; 8] = core::array::from_fn(|i| to_mont(a_vals[i])); + let b_raw: [u64; 8] = core::array::from_fn(|i| to_mont(b_vals[i])); + + let a_v = unsafe { GoldilocksAvx512::load(a_raw.as_ptr()) }; + let b_v = unsafe { GoldilocksAvx512::load(b_raw.as_ptr()) }; + let r_v = GoldilocksAvx512::mul(a_v, b_v); + + let mut result = [0u64; 8]; + unsafe { GoldilocksAvx512::store(result.as_mut_ptr(), r_v) }; + + for i in 0..8 { + assert_eq!( + from_mont(result[i]), + expected[i], + "edge case lane {i} mismatch" + ); + } + } +} diff --git a/src/simd_fields/goldilocks/mod.rs b/src/simd_fields/goldilocks/mod.rs index 5446c737..aaf7272a 100644 --- a/src/simd_fields/goldilocks/mod.rs +++ b/src/simd_fields/goldilocks/mod.rs @@ -3,9 +3,19 @@ #[cfg(target_arch = "aarch64")] pub mod neon; +#[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] +pub mod avx512; + /// Goldilocks NEON backend (aarch64). /// /// Operates on Montgomery-form values as stored by arkworks (`SmallFp.value` /// or `Fp64.0.0[0]`) — zero-cost transmute from `&[Field]` to `&[u64]`. #[cfg(target_arch = "aarch64")] pub use neon::GoldilocksNeon; + +/// Goldilocks AVX-512 IFMA backend (x86_64). +/// +/// Same Montgomery-form transmute as the NEON backend, but with true 8-wide +/// vectorized multiplication via 52-bit IFMA decomposition. +#[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] +pub use avx512::GoldilocksAvx512; diff --git a/src/simd_fields/mod.rs b/src/simd_fields/mod.rs index cf2638d2..b6f4a613 100644 --- a/src/simd_fields/mod.rs +++ b/src/simd_fields/mod.rs @@ -3,7 +3,7 @@ //! Each base field provides platform-specific implementations of add, sub, mul //! operating on packed SIMD vectors. Currently supports: //! -//! - **Goldilocks** (p = 2^64 − 2^32 + 1) via NEON on aarch64. +//! - **Goldilocks** (p = 2^64 − 2^32 + 1) via NEON on aarch64, AVX-512 IFMA on x86_64. pub mod goldilocks; @@ -70,4 +70,24 @@ pub trait SimdBaseField: Copy + Send + Sync + Sized + 'static { /// Scalar modular multiplication (non-vectorized, for reductions). fn scalar_mul(a: Self::Scalar, b: Self::Scalar) -> Self::Scalar; + + /// Load `2 * LANES` scalars from interleaved pairs and deinterleave: + /// `[a0, b0, a1, b1, ..., a_{L-1}, b_{L-1}]` → `(evens, odds)`. + /// + /// Default: scalar deinterleave through stack buffers. + /// Backends with native shuffle (e.g. AVX-512 `vpermutex2var`) should override. + /// + /// # Safety + /// + /// `ptr` must point to at least `2 * LANES` valid `Scalar` values. + #[inline(always)] + unsafe fn load_deinterleaved(ptr: *const Self::Scalar) -> (Self::Packed, Self::Packed) { + let mut evens = [Self::ZERO; 16]; + let mut odds = [Self::ZERO; 16]; + for j in 0..Self::LANES { + evens[j] = *ptr.add(2 * j); + odds[j] = *ptr.add(2 * j + 1); + } + (Self::load(evens.as_ptr()), Self::load(odds.as_ptr())) + } } diff --git a/src/simd_sumcheck/dispatch.rs b/src/simd_sumcheck/dispatch.rs index e5889a88..c6e086d3 100644 --- a/src/simd_sumcheck/dispatch.rs +++ b/src/simd_sumcheck/dispatch.rs @@ -2,7 +2,10 @@ //! //! When `BF == EF` and both are a Goldilocks field (p = 2^64 − 2^32 + 1) //! stored as a single `u64` in Montgomery form, the sumcheck is transparently -//! routed to a NEON-accelerated backend. +//! routed to a SIMD-accelerated backend: +//! +//! - **aarch64**: NEON backend (2-wide, scalar mul fallback) +//! - **x86_64 + AVX-512 IFMA**: AVX-512 backend (8-wide, true IFMA mul) //! //! Detection uses [`Field::BasePrimeField::MODULUS`] from arkworks — no //! concrete type names are referenced. After monomorphization the check @@ -28,7 +31,10 @@ const GOLDILOCKS_P: u64 = 0xFFFF_FFFF_0000_0001; /// /// After monomorphization every operand is a compile-time constant, /// so LLVM folds the entire function to `true` or `false`. -#[cfg(target_arch = "aarch64")] +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] #[inline(always)] fn is_goldilocks() -> bool { use ark_ff::PrimeField; // for MODULUS on BasePrimeField @@ -64,7 +70,10 @@ fn is_goldilocks() -> bool { /// A formal guarantee would require `#[repr(transparent)]` on those /// structs or the `zerocopy` crate; until then the `size_of` check /// provides a compile-time safety net. -#[cfg(target_arch = "aarch64")] +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] pub(crate) fn try_simd_dispatch>( evaluations: &mut [BF], transcript: &mut impl Transcript, @@ -81,7 +90,10 @@ pub(crate) fn try_simd_dispatch>( "Goldilocks dispatch: field element size must be 8 bytes" ); - use crate::simd_fields::goldilocks::neon::GoldilocksNeon; + #[cfg(target_arch = "aarch64")] + type Backend = crate::simd_fields::goldilocks::neon::GoldilocksNeon; + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] + type Backend = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; let n = evaluations.len(); let num_rounds = n.trailing_zeros() as usize; @@ -91,18 +103,28 @@ pub(crate) fn try_simd_dispatch>( // Two strategies depending on input size: // // Small inputs (≤ HYBRID_THRESHOLD): all-SIMD path. - // SIMD evaluate (add) + SIMD in-place reduce (mul). The mul isn't - // truly vectorized on NEON (no 64×64→128), but for small arrays the - // overhead of cross-field reduce + Vec allocation costs more. + // SIMD evaluate (add) + SIMD in-place reduce (mul). // // Large inputs (> HYBRID_THRESHOLD): hybrid path. - // SIMD evaluate (add, genuine NEON speedup) + generic arkworks - // reduce (rayon-parallel Field ops outperform our scalar-fallback - // SIMD mul at scale). - const HYBRID_THRESHOLD: usize = 1 << 18; // 262144 elements + // SIMD evaluate (add) + generic arkworks reduce (rayon-parallel). + // + // The threshold is architecture-dependent: + // + // NEON: mul falls back to scalar (no 64×64→128), so the hybrid path + // (in-place generic reduce) wins at scale. Threshold at 2^18. + // + // AVX-512 IFMA: mul is truly 8-wide vectorized, so the all-SIMD path + // stays competitive longer. At very large sizes memory bandwidth + // dominates and the hybrid path (which avoids extra allocation) + // catches up. Threshold at 2^20 balances SIMD reduce wins with + // memory traffic. + #[cfg(target_arch = "aarch64")] + const HYBRID_THRESHOLD: usize = 1 << 18; + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] + const HYBRID_THRESHOLD: usize = 1 << 30; if n <= HYBRID_THRESHOLD { - dispatch_all_simd::( + dispatch_all_simd::( evaluations, transcript, num_rounds, @@ -110,7 +132,7 @@ pub(crate) fn try_simd_dispatch>( &mut verifier_messages, ); } else { - dispatch_hybrid::( + dispatch_hybrid::( evaluations, transcript, num_rounds, @@ -126,14 +148,17 @@ pub(crate) fn try_simd_dispatch>( } /// All-SIMD path: evaluate + reduce both in raw u64 SIMD. -/// Best for small inputs where allocation overhead dominates. -#[cfg(target_arch = "aarch64")] +/// Best for small-to-medium inputs where SIMD reduce beats generic. +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] fn dispatch_all_simd< BF: Field, EF: Field + From, S: crate::simd_fields::SimdBaseField, >( - evaluations: &[BF], + evaluations: &mut [BF], transcript: &mut impl Transcript, num_rounds: usize, prover_messages: &mut Vec<(EF, EF)>, @@ -143,11 +168,11 @@ fn dispatch_all_simd< use crate::simd_sumcheck::reduce::reduce_in_place; // SAFETY: BF is Goldilocks, size_of == 8, layout-compatible with u64. - let buf: &[u64] = unsafe { - core::slice::from_raw_parts(evaluations.as_ptr() as *const u64, evaluations.len()) + // Work in-place on the evaluation buffer to avoid allocation overhead. + let current: &mut [u64] = unsafe { + core::slice::from_raw_parts_mut(evaluations.as_mut_ptr() as *mut u64, evaluations.len()) }; - let mut current = buf.to_vec(); let mut len = current.len(); for round in 0..num_rounds { @@ -170,7 +195,10 @@ fn dispatch_all_simd< /// Hybrid path: SIMD evaluate + generic arkworks reduce. /// Best for large inputs where rayon-parallel Field reduce dominates. -#[cfg(target_arch = "aarch64")] +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] fn dispatch_hybrid< BF: Field, EF: Field + From, @@ -228,7 +256,10 @@ fn dispatch_hybrid< /// Reinterpret a Montgomery-form `u64` as a field element. /// /// Precondition: `F` is Goldilocks with `size_of::() == 8`. -#[cfg(target_arch = "aarch64")] +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] #[inline(always)] fn u64_to_field(raw: u64) -> F { debug_assert_eq!(core::mem::size_of::(), 8); @@ -238,7 +269,10 @@ fn u64_to_field(raw: u64) -> F { /// Reinterpret a field element as its Montgomery-form `u64`. /// /// Precondition: `F` is Goldilocks with `size_of::() == 8`. -#[cfg(target_arch = "aarch64")] +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] #[inline(always)] fn field_to_u64(val: F) -> u64 { debug_assert_eq!(core::mem::size_of::(), 8); diff --git a/src/simd_sumcheck/evaluate.rs b/src/simd_sumcheck/evaluate.rs index cca31657..a68a3099 100644 --- a/src/simd_sumcheck/evaluate.rs +++ b/src/simd_sumcheck/evaluate.rs @@ -169,7 +169,10 @@ pub fn evaluate_parallel(src: &[F::Scalar]) -> (F::Scalar, F:: #[cfg(test)] mod tests { use super::*; - use crate::simd_fields::goldilocks::neon::GoldilocksNeon; + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] + use crate::simd_fields::goldilocks::avx512::GoldilocksAvx512 as Backend; + #[cfg(target_arch = "aarch64")] + use crate::simd_fields::goldilocks::neon::GoldilocksNeon as Backend; use crate::tests::{to_mont, F64}; use ark_ff::UniformRand; use ark_std::test_rng; @@ -187,7 +190,7 @@ mod tests { let (expected_even, expected_odd) = pairwise::evaluate(&evals_ff); // SIMD evaluate (Montgomery domain) - let (simd_even, simd_odd) = evaluate::(&evals_raw); + let (simd_even, simd_odd) = evaluate::(&evals_raw); assert_eq!(to_mont(expected_even), simd_even, "even sum mismatch"); assert_eq!(to_mont(expected_odd), simd_odd, "odd sum mismatch"); @@ -203,7 +206,7 @@ mod tests { let evals_raw: Vec = evals_ff.iter().map(|f| to_mont(*f)).collect(); let (expected_even, expected_odd) = pairwise::evaluate(&evals_ff); - let (simd_even, simd_odd) = evaluate_parallel::(&evals_raw); + let (simd_even, simd_odd) = evaluate_parallel::(&evals_raw); assert_eq!( to_mont(expected_even), diff --git a/src/simd_sumcheck/reduce.rs b/src/simd_sumcheck/reduce.rs index d3e5ce8d..bf47760e 100644 --- a/src/simd_sumcheck/reduce.rs +++ b/src/simd_sumcheck/reduce.rs @@ -14,50 +14,44 @@ use crate::simd_fields::SimdBaseField; pub fn reduce_to_vec(src: &[F::Scalar], challenge: F::Scalar) -> Vec { let n = src.len() / 2; let mut out = vec![F::ZERO; n]; + reduce_into::(src, &mut out, challenge); + out +} + +/// Core SIMD reduce: reads pairs from `src` and writes folded results to `out`. +/// +/// `src` must have `2 * out.len()` elements. Each pair `(src[2i], src[2i+1])` +/// produces `out[i] = src[2i] + challenge * (src[2i+1] - src[2i])`. +fn reduce_into(src: &[F::Scalar], out: &mut [F::Scalar], challenge: F::Scalar) { + let n = out.len(); + debug_assert_eq!(src.len(), 2 * n); let lanes = F::LANES; let challenge_v = F::splat(challenge); let step = 4 * lanes; // 4× unroll let aligned = (n / step) * step; - // Stack-allocated deinterleave buffers (LANES is small: 2 for NEON u64). - debug_assert!(lanes <= 16); - let mut ab = [([F::ZERO; 16], [F::ZERO; 16]); 4]; + let src_ptr = src.as_ptr(); + let out_ptr = out.as_mut_ptr(); let mut i = 0; while i < aligned { - // Deinterleave 4 groups of LANES pairs - for (g, group) in ab.iter_mut().enumerate() { - for j in 0..lanes { - let s = 2 * (i + g * lanes + j); - group.0[j] = src[s]; - group.1[j] = src[s + 1]; - } - } - unsafe { - for (g, group) in ab.iter().enumerate() { - let av = F::load(group.0.as_ptr()); - let bv = F::load(group.1.as_ptr()); + for g in 0..4 { + let (av, bv) = F::load_deinterleaved(src_ptr.add(2 * (i + g * lanes))); let r = F::add(av, F::mul(challenge_v, F::sub(bv, av))); - F::store(out[i + g * lanes..].as_mut_ptr(), r); + F::store(out_ptr.add(i + g * lanes), r); } } - i += step; } - // Handle remaining full SIMD vectors (1–3 vectors that didn't fill a 4× group) + // Handle remaining full SIMD vectors while i + lanes <= n { - for j in 0..lanes { - ab[0].0[j] = src[2 * (i + j)]; - ab[0].1[j] = src[2 * (i + j) + 1]; - } unsafe { - let av = F::load(ab[0].0.as_ptr()); - let bv = F::load(ab[0].1.as_ptr()); + let (av, bv) = F::load_deinterleaved(src_ptr.add(2 * i)); let r = F::add(av, F::mul(challenge_v, F::sub(bv, av))); - F::store(out[i..].as_mut_ptr(), r); + F::store(out_ptr.add(i), r); } i += lanes; } @@ -71,8 +65,6 @@ pub fn reduce_to_vec(src: &[F::Scalar], challenge: F::Scalar) out[i] = F::scalar_add(a, scaled); i += 1; } - - out } /// SIMD-vectorized pairwise reduce, in-place. @@ -83,42 +75,27 @@ pub fn reduce_in_place(src: &mut [F::Scalar], challenge: F::Sc let n = src.len() / 2; let lanes = F::LANES; let challenge_v = F::splat(challenge); - let step = 4 * lanes; + let step = 8 * lanes; let aligned = (n / step) * step; - debug_assert!(lanes <= 16); - let mut ab = [([F::ZERO; 16], [F::ZERO; 16]); 4]; + let src_ptr = src.as_ptr(); + let out_ptr = src.as_mut_ptr(); let mut i = 0; while i < aligned { - for (g, group) in ab.iter_mut().enumerate() { - for j in 0..lanes { - let s = 2 * (i + g * lanes + j); - group.0[j] = src[s]; - group.1[j] = src[s + 1]; - } - } - unsafe { - for (g, group) in ab.iter().enumerate() { - let av = F::load(group.0.as_ptr()); - let bv = F::load(group.1.as_ptr()); + for g in 0..4 { + let (av, bv) = F::load_deinterleaved(src_ptr.add(2 * (i + g * lanes))); let r = F::add(av, F::mul(challenge_v, F::sub(bv, av))); - F::store(src[i + g * lanes..].as_mut_ptr(), r); + F::store(out_ptr.add(i + g * lanes), r); } } - i += step; } while i + lanes <= n { - for j in 0..lanes { - ab[0].0[j] = src[2 * (i + j)]; - ab[0].1[j] = src[2 * (i + j) + 1]; - } unsafe { - let av = F::load(ab[0].0.as_ptr()); - let bv = F::load(ab[0].1.as_ptr()); + let (av, bv) = F::load_deinterleaved(src_ptr.add(2 * i)); let r = F::add(av, F::mul(challenge_v, F::sub(bv, av))); F::store(src[i..].as_mut_ptr(), r); } @@ -138,6 +115,9 @@ pub fn reduce_in_place(src: &mut [F::Scalar], challenge: F::Sc } /// Parallel SIMD reduce (producing a new Vec). +/// +/// Pre-allocates the output and writes directly to non-overlapping slices +/// via `par_chunks_mut`, avoiding per-chunk Vec allocations. #[cfg(feature = "parallel")] pub fn reduce_parallel( src: &[F::Scalar], @@ -147,15 +127,23 @@ pub fn reduce_parallel( let n = src.len() / 2; let chunk_size = 32_768_usize; - let pair_chunk = chunk_size * 2; if n <= chunk_size { return reduce_to_vec::(src, challenge); } - src.par_chunks(pair_chunk) - .flat_map(|chunk| reduce_to_vec::(chunk, challenge)) - .collect() + let mut out = vec![F::ZERO; n]; + let pair_chunk = chunk_size * 2; + + out.par_chunks_mut(chunk_size) + .enumerate() + .for_each(|(idx, out_chunk)| { + let src_start = idx * pair_chunk; + let src_end = src_start + out_chunk.len() * 2; + reduce_into::(&src[src_start..src_end], out_chunk, challenge); + }); + + out } /// Non-parallel fallback. @@ -170,7 +158,10 @@ pub fn reduce_parallel( #[cfg(test)] mod tests { use super::*; - use crate::simd_fields::goldilocks::neon::GoldilocksNeon; + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] + use crate::simd_fields::goldilocks::avx512::GoldilocksAvx512 as Backend; + #[cfg(target_arch = "aarch64")] + use crate::simd_fields::goldilocks::neon::GoldilocksNeon as Backend; use crate::tests::{to_mont, F64}; use ark_ff::UniformRand; use ark_std::test_rng; @@ -190,7 +181,7 @@ mod tests { let mut expected_ff = evals_ff.clone(); pairwise::reduce_evaluations(&mut expected_ff, challenge_ff); - let received_raw = reduce_to_vec::(&evals_raw, challenge_raw); + let received_raw = reduce_to_vec::(&evals_raw, challenge_raw); assert_eq!(expected_ff.len(), received_raw.len()); for i in 0..expected_ff.len() { @@ -218,7 +209,7 @@ mod tests { let mut expected_ff = evals_ff; pairwise::reduce_evaluations(&mut expected_ff, challenge_ff); - let received_raw = reduce_parallel::(&evals_raw, challenge_raw); + let received_raw = reduce_parallel::(&evals_raw, challenge_raw); assert_eq!(expected_ff.len(), received_raw.len()); for i in 0..expected_ff.len() { From 7df2722ad6be67dc0c4301ea9ea500054b895dc2 Mon Sep 17 00:00:00 2001 From: EC2 Default User Date: Tue, 7 Apr 2026 14:07:35 +0000 Subject: [PATCH 12/52] clippy --- Cargo.toml | 6 +++--- src/simd_sumcheck/dispatch.rs | 16 ++++++++++++++++ src/simd_sumcheck/evaluate.rs | 4 ++++ src/simd_sumcheck/reduce.rs | 4 ++++ 4 files changed, 27 insertions(+), 3 deletions(-) diff --git a/Cargo.toml b/Cargo.toml index f3b3923b..6d0cdca8 100644 --- a/Cargo.toml +++ b/Cargo.toml @@ -40,6 +40,6 @@ path = "benches/simd_vs_generic.rs" harness = false [patch.crates-io] -ark-ff = { git = "https://github.com/arkworks-rs/algebra.git" } -ark-poly = { git = "https://github.com/arkworks-rs/algebra.git" } -ark-serialize = { git = "https://github.com/arkworks-rs/algebra.git" } +ark-ff = { git = "https://github.com/arkworks-rs/algebra.git", rev = "285dac2" } +ark-poly = { git = "https://github.com/arkworks-rs/algebra.git", rev = "285dac2" } +ark-serialize = { git = "https://github.com/arkworks-rs/algebra.git", rev = "285dac2" } diff --git a/src/simd_sumcheck/dispatch.rs b/src/simd_sumcheck/dispatch.rs index c6e086d3..9c63c386 100644 --- a/src/simd_sumcheck/dispatch.rs +++ b/src/simd_sumcheck/dispatch.rs @@ -11,12 +11,28 @@ //! concrete type names are referenced. After monomorphization the check //! is constant-folded by LLVM, so the dead branch is eliminated entirely. +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] use ark_ff::Field; +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] use crate::multilinear::Sumcheck; +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] use crate::transcript::Transcript; /// Goldilocks modulus: p = 2^64 − 2^32 + 1. +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] const GOLDILOCKS_P: u64 = 0xFFFF_FFFF_0000_0001; /// Returns `true` when `F` is a Goldilocks prime field stored as a diff --git a/src/simd_sumcheck/evaluate.rs b/src/simd_sumcheck/evaluate.rs index a68a3099..fbf91a16 100644 --- a/src/simd_sumcheck/evaluate.rs +++ b/src/simd_sumcheck/evaluate.rs @@ -167,6 +167,10 @@ pub fn evaluate_parallel(src: &[F::Scalar]) -> (F::Scalar, F:: } #[cfg(test)] +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] mod tests { use super::*; #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] diff --git a/src/simd_sumcheck/reduce.rs b/src/simd_sumcheck/reduce.rs index bf47760e..7c3f745f 100644 --- a/src/simd_sumcheck/reduce.rs +++ b/src/simd_sumcheck/reduce.rs @@ -156,6 +156,10 @@ pub fn reduce_parallel( } #[cfg(test)] +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] mod tests { use super::*; #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] From 432e7860418b2b5bdff93f2fa3c474cf48312c40 Mon Sep 17 00:00:00 2001 From: EC2 Default User Date: Tue, 7 Apr 2026 16:23:38 +0000 Subject: [PATCH 13/52] chkpt --- benches/simd_vs_generic.rs | 46 +++- src/simd_fields/goldilocks/avx512.rs | 24 ++ src/simd_fields/mod.rs | 29 +++ src/simd_sumcheck/dispatch.rs | 20 +- src/simd_sumcheck/reduce.rs | 349 +++++++++++++++++++++++++++ 5 files changed, 461 insertions(+), 7 deletions(-) diff --git a/benches/simd_vs_generic.rs b/benches/simd_vs_generic.rs index 4f23b487..58b4a025 100644 --- a/benches/simd_vs_generic.rs +++ b/benches/simd_vs_generic.rs @@ -234,11 +234,11 @@ fn bench_eval_reduce_loop(c: &mut Criterion) { }, |(mut current, challenges)| { let mut len = current.len(); - for round in 0..num_vars { + for chg in &challenges { let _ = evaluate::evaluate_parallel::(¤t[..len]); len = reduce::reduce_in_place::( &mut current[..len], - challenges[round], + *chg, ); } black_box(current); @@ -266,13 +266,13 @@ fn bench_eval_reduce_loop(c: &mut Criterion) { }, |(mut current, challenges)| { let mut len = current.len(); - for round in 0..num_vars { + for chg in &challenges { let (s0, s1) = evaluate::evaluate_parallel::(¤t[..len]); black_box((s0, s1)); len = reduce::reduce_in_place::( &mut current[..len], - challenges[round], + *chg, ); } black_box(current); @@ -281,6 +281,44 @@ fn bench_eval_reduce_loop(c: &mut Criterion) { }, ); + // Fused: reduce + next evaluate in a single pass + group.bench_with_input( + BenchmarkId::new("simd_fused", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + bencher.iter_with_setup( + || { + let mut rng = ark_std::test_rng(); + let evals: Vec = (0..n).map(|_| F64::rand(&mut rng).value).collect(); + let challenges: Vec = + (0..num_vars).map(|_| F64::rand(&mut rng).value).collect(); + (evals, challenges) + }, + |(mut current, challenges)| { + let mut len = current.len(); + // First evaluate standalone + let (mut s0, mut s1) = + evaluate::evaluate_parallel::(¤t[..len]); + for (round, chg) in challenges.iter().enumerate() { + black_box((s0, s1)); + if round < num_vars - 1 { + // Fused reduce + next evaluate + let (ns0, ns1, new_len) = + reduce::reduce_and_evaluate::( + &mut current[..len], + *chg, + ); + len = new_len; + s0 = ns0; + s1 = ns1; + } + } + black_box(current); + }, + ); + }, + ); + group.bench_with_input( BenchmarkId::new("generic_loop", format!("2^{}", num_vars)), &num_vars, diff --git a/src/simd_fields/goldilocks/avx512.rs b/src/simd_fields/goldilocks/avx512.rs index f5f90aac..24fdde2b 100644 --- a/src/simd_fields/goldilocks/avx512.rs +++ b/src/simd_fields/goldilocks/avx512.rs @@ -104,6 +104,30 @@ impl SimdBaseField for GoldilocksAvx512 { unsafe { avx512_mont_mul(a, b) } } + #[inline(always)] + fn add_wrapping(a: __m512i, b: __m512i) -> __m512i { + unsafe { _mm512_add_epi64(a, b) } + } + + #[inline(always)] + fn carry_mask(sum: __m512i, a_before: __m512i) -> __m512i { + unsafe { + let carry = _mm512_cmplt_epu64_mask(sum, a_before); + _mm512_maskz_set1_epi64(carry, 1) + } + } + + #[inline(always)] + fn reduce_carry(sum: __m512i, carry_count: __m512i) -> __m512i { + // Each carry represents 2^64 ≡ EPSILON (mod P). + // correction = carry_count * EPSILON (fits in u64 for reasonable counts). + unsafe { + let eps_vec = _mm512_set1_epi64(EPSILON as i64); + let correction = _mm512_mullo_epi64(carry_count, eps_vec); + Self::add(sum, correction) + } + } + #[inline(always)] unsafe fn load_deinterleaved(ptr: *const u64) -> (__m512i, __m512i) { unsafe { diff --git a/src/simd_fields/mod.rs b/src/simd_fields/mod.rs index b6f4a613..27051471 100644 --- a/src/simd_fields/mod.rs +++ b/src/simd_fields/mod.rs @@ -71,6 +71,35 @@ pub trait SimdBaseField: Copy + Send + Sync + Sized + 'static { /// Scalar modular multiplication (non-vectorized, for reductions). fn scalar_mul(a: Self::Scalar, b: Self::Scalar) -> Self::Scalar; + /// Wrapping add without modular reduction — just raw integer addition. + /// + /// Callers must track carries separately and finalize with `reduce_carry`. + /// Backends should override for performance; default falls back to `add`. + #[inline(always)] + fn add_wrapping(a: Self::Packed, b: Self::Packed) -> Self::Packed { + Self::add(a, b) + } + + /// Detect carries from a wrapping add: returns a packed vector with `1` in + /// lanes where `sum < a` (unsigned overflow) and `0` elsewhere. + /// + /// Default returns zero (no carries tracked — consistent with `add` default). + #[inline(always)] + fn carry_mask(_sum: Self::Packed, _a_before: Self::Packed) -> Self::Packed { + Self::splat(Self::ZERO) + } + + /// Correct a wrapping accumulator given the carry count per lane. + /// + /// For Goldilocks: each carry represents 2^64 ≡ EPSILON (mod P), + /// so result = sum + carry_count * EPSILON (mod P). + /// + /// Default is identity (assumes `add_wrapping` already reduced). + #[inline(always)] + fn reduce_carry(sum: Self::Packed, _carry_count: Self::Packed) -> Self::Packed { + sum + } + /// Load `2 * LANES` scalars from interleaved pairs and deinterleave: /// `[a0, b0, a1, b1, ..., a_{L-1}, b_{L-1}]` → `(evens, odds)`. /// diff --git a/src/simd_sumcheck/dispatch.rs b/src/simd_sumcheck/dispatch.rs index 9c63c386..e982dae7 100644 --- a/src/simd_sumcheck/dispatch.rs +++ b/src/simd_sumcheck/dispatch.rs @@ -181,7 +181,7 @@ fn dispatch_all_simd< verifier_messages: &mut Vec, ) { use crate::simd_sumcheck::evaluate::evaluate_parallel; - use crate::simd_sumcheck::reduce::reduce_in_place; + use crate::simd_sumcheck::reduce::{reduce_and_evaluate, reduce_in_place}; // SAFETY: BF is Goldilocks, size_of == 8, layout-compatible with u64. // Work in-place on the evaluation buffer to avoid allocation overhead. @@ -191,8 +191,14 @@ fn dispatch_all_simd< let mut len = current.len(); + // Fused reduce+evaluate eliminates one data pass per round. + // Only beneficial when data exceeds L2 cache (~2 MB = ~2^18 u64s). + const FUSE_THRESHOLD: usize = 1 << 20; + + let mut pending_eval: Option<(u64, u64)> = None; + for round in 0..num_rounds { - let (s0, s1) = evaluate_parallel::(¤t[..len]); + let (s0, s1) = pending_eval.unwrap_or_else(|| evaluate_parallel::(¤t[..len])); let msg = (u64_to_field::(s0), u64_to_field::(s1)); prover_messages.push(msg); @@ -204,7 +210,15 @@ fn dispatch_all_simd< if round < num_rounds - 1 { let chg: u64 = field_to_u64(chg_ef); - len = reduce_in_place::(&mut current[..len], chg); + if len > FUSE_THRESHOLD { + let (ns0, ns1, new_len) = + reduce_and_evaluate::(&mut current[..len], chg); + len = new_len; + pending_eval = Some((ns0, ns1)); + } else { + len = reduce_in_place::(&mut current[..len], chg); + pending_eval = None; + } } } } diff --git a/src/simd_sumcheck/reduce.rs b/src/simd_sumcheck/reduce.rs index 7c3f745f..6b1b0196 100644 --- a/src/simd_sumcheck/reduce.rs +++ b/src/simd_sumcheck/reduce.rs @@ -114,6 +114,296 @@ pub fn reduce_in_place(src: &mut [F::Scalar], challenge: F::Sc n } +/// Fused reduce + evaluate for the next round. +/// +/// Performs in-place pairwise reduce (same as `reduce_in_place`) and simultaneously +/// accumulates the even/odd sums that `evaluate` would compute on the reduced output. +/// This eliminates one full data pass per round (the separate evaluate read). +/// +/// Returns `(next_even_sum, next_odd_sum, output_length)`. +pub fn reduce_and_evaluate( + src: &mut [F::Scalar], + challenge: F::Scalar, +) -> (F::Scalar, F::Scalar, usize) { + let n = src.len() / 2; + let lanes = F::LANES; + let challenge_v = F::splat(challenge); + + // We need 2 groups of accumulators: one for reduced values at even output + // positions and one for odd. Within a contiguous vector of LANES elements + // written at output position i, lanes 0,2,4,6 are "even" and 1,3,5,7 are + // "odd" when considered as part of the flat output array (since i is always + // aligned to LANES). So we just accumulate all reduced vectors and separate + // even/odd lanes at the end — exactly like evaluate does. + // + // Use lazy accumulation: wrapping add + carry count, finalize at the end. + // This halves the accumulation overhead (3 instructions vs 6 for full mod add). + let zero = F::splat(F::ZERO); + let mut acc0 = zero; + let mut acc1 = zero; + let mut acc2 = zero; + let mut acc3 = zero; + let mut carry0 = zero; + let mut carry1 = zero; + let mut carry2 = zero; + let mut carry3 = zero; + + let step = 4 * lanes; + let aligned = (n / step) * step; + + let src_ptr = src.as_ptr(); + let out_ptr = src.as_mut_ptr(); + + let mut i = 0; + while i < aligned { + unsafe { + let (av0, bv0) = F::load_deinterleaved(src_ptr.add(2 * i)); + let r0 = F::add(av0, F::mul(challenge_v, F::sub(bv0, av0))); + F::store(out_ptr.add(i), r0); + let sum0 = F::add_wrapping(acc0, r0); + carry0 = F::add_wrapping(carry0, F::carry_mask(sum0, acc0)); + acc0 = sum0; + + let (av1, bv1) = F::load_deinterleaved(src_ptr.add(2 * (i + lanes))); + let r1 = F::add(av1, F::mul(challenge_v, F::sub(bv1, av1))); + F::store(out_ptr.add(i + lanes), r1); + let sum1 = F::add_wrapping(acc1, r1); + carry1 = F::add_wrapping(carry1, F::carry_mask(sum1, acc1)); + acc1 = sum1; + + let (av2, bv2) = F::load_deinterleaved(src_ptr.add(2 * (i + 2 * lanes))); + let r2 = F::add(av2, F::mul(challenge_v, F::sub(bv2, av2))); + F::store(out_ptr.add(i + 2 * lanes), r2); + let sum2 = F::add_wrapping(acc2, r2); + carry2 = F::add_wrapping(carry2, F::carry_mask(sum2, acc2)); + acc2 = sum2; + + let (av3, bv3) = F::load_deinterleaved(src_ptr.add(2 * (i + 3 * lanes))); + let r3 = F::add(av3, F::mul(challenge_v, F::sub(bv3, av3))); + F::store(out_ptr.add(i + 3 * lanes), r3); + let sum3 = F::add_wrapping(acc3, r3); + carry3 = F::add_wrapping(carry3, F::carry_mask(sum3, acc3)); + acc3 = sum3; + } + i += step; + } + + // Cleanup: single vector at a time (use full modular add — few iterations) + while i + lanes <= n { + unsafe { + let (av, bv) = F::load_deinterleaved(src_ptr.add(2 * i)); + let r = F::add(av, F::mul(challenge_v, F::sub(bv, av))); + F::store(src[i..].as_mut_ptr(), r); + acc0 = F::add(acc0, r); + } + i += lanes; + } + + // Finalize lazy accumulators: correct for carries + let red0 = F::reduce_carry(acc0, carry0); + let red1 = F::reduce_carry(acc1, carry1); + let red2 = F::reduce_carry(acc2, carry2); + let red3 = F::reduce_carry(acc3, carry3); + + // Combine in a tree for ILP + let total = F::add(F::add(red0, red1), F::add(red2, red3)); + + // Extract lanes and sum even/odd groups + let mut lanes_buf = [F::ZERO; 16]; + debug_assert!(F::LANES <= 16); + unsafe { F::store(lanes_buf.as_mut_ptr(), total) }; + + let mut even_sum = F::ZERO; + let mut odd_sum = F::ZERO; + for (j, &val) in lanes_buf.iter().enumerate().take(F::LANES) { + if j % 2 == 0 { + even_sum = F::scalar_add(even_sum, val); + } else { + odd_sum = F::scalar_add(odd_sum, val); + } + } + + // Scalar tail (both reduce and accumulate) + while i < n { + let a = src[2 * i]; + let b = src[2 * i + 1]; + let diff = F::scalar_sub(b, a); + let scaled = F::scalar_mul(challenge, diff); + let r = F::scalar_add(a, scaled); + src[i] = r; + if i % 2 == 0 { + even_sum = F::scalar_add(even_sum, r); + } else { + odd_sum = F::scalar_add(odd_sum, r); + } + i += 1; + } + + (even_sum, odd_sum, n) +} + +/// Core fused reduce+evaluate on a src→out pair (not in-place). +/// +/// Returns `(even_sum, odd_sum)` for the chunk. +fn reduce_and_evaluate_into( + src: &[F::Scalar], + out: &mut [F::Scalar], + challenge: F::Scalar, +) -> (F::Scalar, F::Scalar) { + let n = out.len(); + debug_assert_eq!(src.len(), 2 * n); + + let lanes = F::LANES; + let challenge_v = F::splat(challenge); + let zero = F::splat(F::ZERO); + let mut acc0 = zero; + let mut acc1 = zero; + let mut acc2 = zero; + let mut acc3 = zero; + let mut carry0 = zero; + let mut carry1 = zero; + let mut carry2 = zero; + let mut carry3 = zero; + + let step = 4 * lanes; + let aligned = (n / step) * step; + + let src_ptr = src.as_ptr(); + let out_ptr = out.as_mut_ptr(); + + let mut i = 0; + while i < aligned { + unsafe { + let (av0, bv0) = F::load_deinterleaved(src_ptr.add(2 * i)); + let r0 = F::add(av0, F::mul(challenge_v, F::sub(bv0, av0))); + F::store(out_ptr.add(i), r0); + let sum0 = F::add_wrapping(acc0, r0); + carry0 = F::add_wrapping(carry0, F::carry_mask(sum0, acc0)); + acc0 = sum0; + + let (av1, bv1) = F::load_deinterleaved(src_ptr.add(2 * (i + lanes))); + let r1 = F::add(av1, F::mul(challenge_v, F::sub(bv1, av1))); + F::store(out_ptr.add(i + lanes), r1); + let sum1 = F::add_wrapping(acc1, r1); + carry1 = F::add_wrapping(carry1, F::carry_mask(sum1, acc1)); + acc1 = sum1; + + let (av2, bv2) = F::load_deinterleaved(src_ptr.add(2 * (i + 2 * lanes))); + let r2 = F::add(av2, F::mul(challenge_v, F::sub(bv2, av2))); + F::store(out_ptr.add(i + 2 * lanes), r2); + let sum2 = F::add_wrapping(acc2, r2); + carry2 = F::add_wrapping(carry2, F::carry_mask(sum2, acc2)); + acc2 = sum2; + + let (av3, bv3) = F::load_deinterleaved(src_ptr.add(2 * (i + 3 * lanes))); + let r3 = F::add(av3, F::mul(challenge_v, F::sub(bv3, av3))); + F::store(out_ptr.add(i + 3 * lanes), r3); + let sum3 = F::add_wrapping(acc3, r3); + carry3 = F::add_wrapping(carry3, F::carry_mask(sum3, acc3)); + acc3 = sum3; + } + i += step; + } + + while i + lanes <= n { + unsafe { + let (av, bv) = F::load_deinterleaved(src_ptr.add(2 * i)); + let r = F::add(av, F::mul(challenge_v, F::sub(bv, av))); + F::store(out_ptr.add(i), r); + acc0 = F::add(acc0, r); + } + i += lanes; + } + + let red0 = F::reduce_carry(acc0, carry0); + let red1 = F::reduce_carry(acc1, carry1); + let red2 = F::reduce_carry(acc2, carry2); + let red3 = F::reduce_carry(acc3, carry3); + let total = F::add(F::add(red0, red1), F::add(red2, red3)); + + let mut lanes_buf = [F::ZERO; 16]; + debug_assert!(F::LANES <= 16); + unsafe { F::store(lanes_buf.as_mut_ptr(), total) }; + + let mut even_sum = F::ZERO; + let mut odd_sum = F::ZERO; + for (j, &val) in lanes_buf.iter().enumerate().take(F::LANES) { + if j % 2 == 0 { + even_sum = F::scalar_add(even_sum, val); + } else { + odd_sum = F::scalar_add(odd_sum, val); + } + } + + while i < n { + let a = src[2 * i]; + let b = src[2 * i + 1]; + let diff = F::scalar_sub(b, a); + let scaled = F::scalar_mul(challenge, diff); + let r = F::scalar_add(a, scaled); + out[i] = r; + if i % 2 == 0 { + even_sum = F::scalar_add(even_sum, r); + } else { + odd_sum = F::scalar_add(odd_sum, r); + } + i += 1; + } + + (even_sum, odd_sum) +} + +/// Parallel fused reduce + evaluate using rayon. +/// +/// Allocates a new output buffer, processes chunks in parallel, and returns +/// `(even_sum, odd_sum, output_vec)`. +#[cfg(feature = "parallel")] +pub fn reduce_and_evaluate_parallel( + src: &[F::Scalar], + challenge: F::Scalar, +) -> (F::Scalar, F::Scalar, Vec) { + use rayon::prelude::*; + + let n = src.len() / 2; + let chunk_size = 32_768_usize; + + if n <= chunk_size { + let mut out = vec![F::ZERO; n]; + let (e, o) = reduce_and_evaluate_into::(src, &mut out, challenge); + return (e, o, out); + } + + let mut out = vec![F::ZERO; n]; + let pair_chunk = chunk_size * 2; + + let (even, odd) = out + .par_chunks_mut(chunk_size) + .enumerate() + .map(|(idx, out_chunk)| { + let src_start = idx * pair_chunk; + let src_end = (src_start + out_chunk.len() * 2).min(src.len()); + reduce_and_evaluate_into::(&src[src_start..src_end], out_chunk, challenge) + }) + .reduce( + || (F::ZERO, F::ZERO), + |(e1, o1), (e2, o2)| (F::scalar_add(e1, e2), F::scalar_add(o1, o2)), + ); + + (even, odd, out) +} + +/// Non-parallel fallback. +#[cfg(not(feature = "parallel"))] +pub fn reduce_and_evaluate_parallel( + src: &[F::Scalar], + challenge: F::Scalar, +) -> (F::Scalar, F::Scalar, Vec) { + let n = src.len() / 2; + let mut out = vec![F::ZERO; n]; + let (e, o) = reduce_and_evaluate_into::(src, &mut out, challenge); + (e, o, out) +} + /// Parallel SIMD reduce (producing a new Vec). /// /// Pre-allocates the output and writes directly to non-overlapping slices @@ -198,6 +488,65 @@ mod tests { } } + #[test] + fn test_reduce_and_evaluate_matches() { + use crate::multilinear::reductions::pairwise; + + let mut rng = test_rng(); + let n = 1 << 16; + let evals_ff: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let mut evals_raw: Vec = evals_ff.iter().map(|f| to_mont(*f)).collect(); + + let challenge_ff = F64::rand(&mut rng); + let challenge_raw = to_mont(challenge_ff); + + // Reference: reduce then evaluate + let mut expected_ff = evals_ff; + pairwise::reduce_evaluations(&mut expected_ff, challenge_ff); + let (expected_even, expected_odd) = pairwise::evaluate(&expected_ff); + + // Fused + let (fused_even, fused_odd, new_len) = + reduce_and_evaluate::(&mut evals_raw, challenge_raw); + + assert_eq!(new_len, n / 2); + assert_eq!(to_mont(expected_even), fused_even, "fused even mismatch"); + assert_eq!(to_mont(expected_odd), fused_odd, "fused odd mismatch"); + + // Also verify the reduce output matches + for i in 0..new_len { + assert_eq!( + to_mont(expected_ff[i]), + evals_raw[i], + "reduce mismatch at index {}", + i + ); + } + } + + #[test] + fn test_reduce_and_evaluate_large() { + use crate::multilinear::reductions::pairwise; + + let mut rng = test_rng(); + let n = 1 << 20; + let evals_ff: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let mut evals_raw: Vec = evals_ff.iter().map(|f| to_mont(*f)).collect(); + + let challenge_ff = F64::rand(&mut rng); + let challenge_raw = to_mont(challenge_ff); + + let mut expected_ff = evals_ff; + pairwise::reduce_evaluations(&mut expected_ff, challenge_ff); + let (expected_even, expected_odd) = pairwise::evaluate(&expected_ff); + + let (fused_even, fused_odd, _) = + reduce_and_evaluate::(&mut evals_raw, challenge_raw); + + assert_eq!(to_mont(expected_even), fused_even, "large fused even mismatch"); + assert_eq!(to_mont(expected_odd), fused_odd, "large fused odd mismatch"); + } + #[test] fn test_reduce_parallel_matches() { use crate::multilinear::reductions::pairwise; From 54d0f24f5cba1dda1b46c3bacff4908d0f447202 Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Wed, 8 Apr 2026 14:47:06 +0200 Subject: [PATCH 14/52] 2 coefficient round messages for inner product --- src/inner_product_sumcheck.rs | 14 +-- src/interpolation/lagrange_polynomial.rs | 19 ---- .../provers/blendy/core.rs | 45 ++++------ .../provers/blendy/prover.rs | 4 +- src/multilinear_product/provers/space/core.rs | 23 ++--- .../provers/space/prover.rs | 10 +-- src/multilinear_product/provers/time/core.rs | 15 ++-- .../provers/time/prover.rs | 4 +- .../provers/time/reductions/pairwise.rs | 63 +++++--------- .../provers/time/reductions/variablewise.rs | 86 ++++--------------- src/multilinear_product/sumcheck.rs | 62 +++++++------ src/tests/multilinear_product/consistency.rs | 2 +- .../multilinear_product/provers/basic/core.rs | 25 +++--- .../provers/basic/prover.rs | 9 +- src/tests/multilinear_product/sanity.rs | 47 ++++------ 15 files changed, 152 insertions(+), 276 deletions(-) diff --git a/src/inner_product_sumcheck.rs b/src/inner_product_sumcheck.rs index a96f3756..78893910 100644 --- a/src/inner_product_sumcheck.rs +++ b/src/inner_product_sumcheck.rs @@ -95,21 +95,23 @@ pub fn accumulate_sparse_evaluations( /// rounds work entirely in `EF`. /// /// Each round: -/// 1. Computes the round polynomial evaluations `(s(0), s(1), s(2))` via the product prover. -/// 2. Writes them to the transcript (3 field elements). +/// 1. Computes `(a, b)` — the constant and linear coefficients of the degree-2 +/// round polynomial `q(x) = a + bx + cx²`. +/// 2. Writes them to the transcript (2 field elements). /// 3. Reads the verifier's challenge from the transcript (1 field element). /// 4. Reduces both evaluation vectors by folding with the challenge. +/// +/// The verifier derives `c = claim - 2a - b` from the constraint `q(0) + q(1) = claim`. pub fn inner_product_sumcheck>( f: &mut [BF], g: &mut [BF], transcript: &mut impl Transcript, ) -> ProductSumcheck { - // checks assert_eq!(f.len(), g.len()); assert!(f.len().count_ones() == 1); let num_rounds = f.len().trailing_zeros() as usize; - let mut prover_messages: Vec<(EF, EF, EF)> = vec![]; + let mut prover_messages: Vec<(EF, EF)> = vec![]; let mut verifier_messages: Vec = vec![]; // ── Round 0: evaluate in BF, lift to EF, cross-field reduce ── @@ -121,12 +123,11 @@ pub fn inner_product_sumcheck>( )); let msg_bf = prover.next_message(None).unwrap(); - let msg = (EF::from(msg_bf.0), EF::from(msg_bf.1), EF::from(msg_bf.2)); + let msg = (EF::from(msg_bf.0), EF::from(msg_bf.1)); prover_messages.push(msg); transcript.write(msg.0); transcript.write(msg.1); - transcript.write(msg.2); let chg = transcript.read(); verifier_messages.push(chg); @@ -151,7 +152,6 @@ pub fn inner_product_sumcheck>( prover_messages.push(msg); transcript.write(msg.0); transcript.write(msg.1); - transcript.write(msg.2); let chg = transcript.read(); verifier_messages.push(chg); diff --git a/src/interpolation/lagrange_polynomial.rs b/src/interpolation/lagrange_polynomial.rs index 69acbd06..2b355cb1 100644 --- a/src/interpolation/lagrange_polynomial.rs +++ b/src/interpolation/lagrange_polynomial.rs @@ -43,25 +43,6 @@ impl<'a, F: Field, O: OrderStrategy> LagrangePolynomial<'a, F, O> { }, ) } - pub fn evaluate_from_three_points(verifier_message: F, prover_message: (F, F, F)) -> F { - // Hardcoded x-values: - let zero = F::zero(); - let one = F::one(); - let half = F::from(2_u32).inverse().unwrap(); - - // Compute denominators for the Lagrange basis polynomials - let inv_denom_0 = ((zero - one) * (zero - half)).inverse().unwrap(); - let inv_denom_1 = ((one - zero) * (one - half)).inverse().unwrap(); - let inv_denom_2 = ((half - zero) * (half - one)).inverse().unwrap(); - - // Compute the Lagrange basis polynomials evaluated at x - let basis_p_0 = (verifier_message - one) * (verifier_message - half) * inv_denom_0; - let basis_p_1 = (verifier_message - zero) * (verifier_message - half) * inv_denom_1; - let basis_p_2 = (verifier_message - zero) * (verifier_message - one) * inv_denom_2; - - // Return the evaluation of the unique quadratic polynomial - prover_message.0 * basis_p_0 + prover_message.1 * basis_p_1 + prover_message.2 * basis_p_2 - } } impl<'a, F: Field> Iterator for LagrangePolynomial<'a, F, GraycodeOrder> { diff --git a/src/multilinear_product/provers/blendy/core.rs b/src/multilinear_product/provers/blendy/core.rs index efbdc1e2..69793f01 100644 --- a/src/multilinear_product/provers/blendy/core.rs +++ b/src/multilinear_product/provers/blendy/core.rs @@ -57,24 +57,21 @@ impl> BlendyProductProver { } } - pub fn compute_round(&mut self) -> (F, F, F) { - let mut sum_0 = F::ZERO; - let mut sum_1 = F::ZERO; - let mut sum_half = F::ZERO; + pub fn compute_round(&mut self) -> (F, F) { + let mut a = F::ZERO; + let mut b = F::ZERO; // in the last rounds, we switch to the memory intensive prover if self.switched_to_vsbw { - (sum_0, sum_1, sum_half) = self.vsbw_prover.vsbw_evaluate(); + (a, b) = self.vsbw_prover.vsbw_evaluate(); } // if first few rounds, then no table is computed, need to compute sums from the streams else if self.current_round < self.last_round_phase1 { - // Lag Poly let mut sequential_lag_poly: LagrangePolynomial = LagrangePolynomial::new(&self.verifier_messages_round_comp); let lag_polys_len = Hypercube::::stop_value(self.current_round); let mut lag_polys: Vec = vec![F::ONE; lag_polys_len]; - // reset the streams self.stream_iterators .iter_mut() .for_each(|stream_it| stream_it.reset()); @@ -82,15 +79,13 @@ impl> BlendyProductProver { for (x_index, _) in Hypercube::::new(self.num_variables - self.current_round - 1) { - // can avoid unnecessary additions for first round since there is no lag poly: gives a small speedup if self.is_initial_round() { let p0 = self.stream_iterators[0].next().unwrap(); let p1 = self.stream_iterators[0].next().unwrap(); let q0 = self.stream_iterators[1].next().unwrap(); let q1 = self.stream_iterators[1].next().unwrap(); - sum_0 += p0 * q0; - sum_1 += p1 * q1; - sum_half += (p0 + p1) * (q0 + q1); + a += p0 * q0; + b += p0 * q1 + p1 * q0; } else { let mut partial_sum_p_0 = F::ZERO; let mut partial_sum_p_1 = F::ZERO; @@ -110,32 +105,24 @@ impl> BlendyProductProver { partial_sum_q_1 += self.stream_iterators[1].next().unwrap() * lag_poly; } - sum_0 += partial_sum_p_0 * partial_sum_q_0; - sum_1 += partial_sum_p_1 * partial_sum_q_1; - sum_half += - (partial_sum_p_0 + partial_sum_p_1) * (partial_sum_q_0 + partial_sum_q_1); + a += partial_sum_p_0 * partial_sum_q_0; + b += partial_sum_p_0 * partial_sum_q_1 + partial_sum_p_1 * partial_sum_q_0; } } - sum_half *= self.inverse_four; } else { // computing evaluations from the cross product tables - - // things to help iterating let b_prime_num_vars = self.current_round + 1 - self.prev_table_round_num; let v_num_vars: usize = self.prev_table_size + self.prev_table_round_num - self.current_round - 2; let b_prime_index_left_shift = v_num_vars + 1; - // Lag Poly let mut sequential_lag_poly: LagrangePolynomial = LagrangePolynomial::new(&self.verifier_messages_round_comp); let lag_polys_len = Hypercube::::stop_value(b_prime_num_vars); let mut lag_polys: Vec = vec![F::ONE; lag_polys_len]; - // Sums for (b_prime_index, _) in Hypercube::::new(b_prime_num_vars) { for (b_prime_prime_index, _) in Hypercube::::new(b_prime_num_vars) { - // doing it like this, for each hypercube member lag_poly is computed exactly once if b_prime_index == 0 { lag_polys[b_prime_prime_index] = sequential_lag_poly.next().unwrap(); } @@ -155,19 +142,17 @@ impl> BlendyProductProver { | 1 << v_num_vars | v_index; - sum_0 += lag_poly * self.j_prime_table[b_prime_0_v][b_prime_prime_0_v]; - sum_1 += lag_poly * self.j_prime_table[b_prime_1_v][b_prime_prime_1_v]; - sum_half += lag_poly - * (self.j_prime_table[b_prime_0_v][b_prime_prime_0_v] - + self.j_prime_table[b_prime_0_v][b_prime_prime_1_v] - + self.j_prime_table[b_prime_1_v][b_prime_prime_0_v] - + self.j_prime_table[b_prime_1_v][b_prime_prime_1_v]); + // a = sum of even-even products (j_prime_table[0v][0v]) + a += lag_poly * self.j_prime_table[b_prime_0_v][b_prime_prime_0_v]; + // b = cross-term: even-odd + odd-even + b += lag_poly + * (self.j_prime_table[b_prime_0_v][b_prime_prime_1_v] + + self.j_prime_table[b_prime_1_v][b_prime_prime_0_v]); } } } - sum_half *= self.inverse_four; } - (sum_0, sum_1, sum_half) + (a, b) } pub fn compute_state(&mut self) { diff --git a/src/multilinear_product/provers/blendy/prover.rs b/src/multilinear_product/provers/blendy/prover.rs index 49c1a72b..594403c3 100644 --- a/src/multilinear_product/provers/blendy/prover.rs +++ b/src/multilinear_product/provers/blendy/prover.rs @@ -12,7 +12,7 @@ use crate::{ impl> Prover for BlendyProductProver { type ProverConfig = BlendyProductProverConfig; - type ProverMessage = Option<(F, F, F)>; + type ProverMessage = Option<(F, F)>; type VerifierMessage = Option; fn new(prover_config: Self::ProverConfig) -> Self { @@ -96,7 +96,7 @@ impl> Prover for BlendyProductProver { self.compute_state(); - let sums: (F, F, F) = self.compute_round(); + let sums = self.compute_round(); // Increment the round counter self.current_round += 1; diff --git a/src/multilinear_product/provers/space/core.rs b/src/multilinear_product/provers/space/core.rs index 5a0ae45d..c07b67b9 100644 --- a/src/multilinear_product/provers/space/core.rs +++ b/src/multilinear_product/provers/space/core.rs @@ -17,26 +17,22 @@ pub struct SpaceProductProver> { } impl> SpaceProductProver { - pub fn cty_evaluate(&mut self) -> (F, F, F) { - let mut sum_0: F = F::ZERO; - let mut sum_1: F = F::ZERO; - let mut sum_half: F = F::ZERO; + pub fn cty_evaluate(&mut self) -> (F, F) { + let mut a: F = F::ZERO; + let mut b: F = F::ZERO; - // reset the streams self.stream_iterators .iter_mut() .for_each(|stream_it| stream_it.reset()); for (_, _) in Hypercube::::new(self.num_variables - self.current_round - 1) { - // can avoid unnecessary additions for first round since there is no lag poly: gives a small speedup if self.current_round == 0 { let p0 = self.stream_iterators[0].next().unwrap(); let p1 = self.stream_iterators[0].next().unwrap(); let q0 = self.stream_iterators[1].next().unwrap(); let q1 = self.stream_iterators[1].next().unwrap(); - sum_0 += p0 * q0; - sum_1 += p1 * q1; - sum_half += (p0 + p1) * (q0 + q1); + a += p0 * q0; + b += p0 * q1 + p1 * q0; } else { let mut partial_sum_p_0 = F::ZERO; let mut partial_sum_p_1 = F::ZERO; @@ -59,13 +55,10 @@ impl> SpaceProductProver { partial_sum_q_1 += self.stream_iterators[1].next().unwrap() * lag_poly; } - sum_0 += partial_sum_p_0 * partial_sum_q_0; - sum_1 += partial_sum_p_1 * partial_sum_q_1; - sum_half += - (partial_sum_p_0 + partial_sum_p_1) * (partial_sum_q_0 + partial_sum_q_1); + a += partial_sum_p_0 * partial_sum_q_0; + b += partial_sum_p_0 * partial_sum_q_1 + partial_sum_p_1 * partial_sum_q_0; } } - sum_half *= self.inverse_four; - (sum_0, sum_1, sum_half) + (a, b) } } diff --git a/src/multilinear_product/provers/space/prover.rs b/src/multilinear_product/provers/space/prover.rs index 45da2194..0ad1409e 100644 --- a/src/multilinear_product/provers/space/prover.rs +++ b/src/multilinear_product/provers/space/prover.rs @@ -10,7 +10,7 @@ use crate::{ impl> Prover for SpaceProductProver { type ProverConfig = SpaceProductProverConfig; - type ProverMessage = Option<(F, F, F)>; + type ProverMessage = Option<(F, F)>; type VerifierMessage = Option; fn new(prover_config: Self::ProverConfig) -> Self { @@ -31,23 +31,17 @@ impl> Prover for SpaceProductProver { } fn next_message(&mut self, verifier_message: Self::VerifierMessage) -> Self::ProverMessage { - // Ensure the current round is within bounds if self.current_round >= self.num_variables { return None; } - // If it's not the first round, add the verifier message to verifier_messages if self.current_round != 0 { self.verifier_messages .receive_message(verifier_message.unwrap()); } - // evaluate using cty - let sums: (F, F, F) = self.cty_evaluate(); - - // don't forget to increment the round + let sums = self.cty_evaluate(); self.current_round += 1; - Some(sums) } } diff --git a/src/multilinear_product/provers/time/core.rs b/src/multilinear_product/provers/time/core.rs index 549f6d7c..106c2a8f 100644 --- a/src/multilinear_product/provers/time/core.rs +++ b/src/multilinear_product/provers/time/core.rs @@ -33,13 +33,12 @@ impl> TimeProductProver { * Note in evaluate() there's an optimization for the first round where we read directly * from the streams (instead of the tables), which reduces max memory usage by 1/2 */ - pub fn vsbw_evaluate(&self) -> (F, F, F) { + pub fn vsbw_evaluate(&self) -> (F, F) { match &self.evaluations[0] { None => match self.reduce_mode { - ReduceMode::Variablewise => variablewise_product_evaluate_from_stream( - &self.streams.clone().unwrap(), - self.inverse_four, - ), + ReduceMode::Variablewise => { + variablewise_product_evaluate_from_stream(&self.streams.clone().unwrap()) + } ReduceMode::Pairwise => { pairwise_product_evaluate_from_stream(&self.streams.clone().unwrap()) } @@ -48,13 +47,11 @@ impl> TimeProductProver { let evals: Vec> = self .evaluations .iter() - .filter_map(|opt| opt.clone()) // keep only Some(&Vec) + .filter_map(|opt| opt.clone()) .collect(); let evals_slice: &[Vec] = &evals; match self.reduce_mode { - ReduceMode::Variablewise => { - variablewise_product_evaluate(evals_slice, self.inverse_four) - } + ReduceMode::Variablewise => variablewise_product_evaluate(evals_slice), ReduceMode::Pairwise => pairwise_product_evaluate(evals_slice), } } diff --git a/src/multilinear_product/provers/time/prover.rs b/src/multilinear_product/provers/time/prover.rs index f5ad2a42..fcee7df3 100644 --- a/src/multilinear_product/provers/time/prover.rs +++ b/src/multilinear_product/provers/time/prover.rs @@ -8,7 +8,7 @@ use crate::{ impl> Prover for TimeProductProver { type ProverConfig = TimeProductProverConfig; - type ProverMessage = Option<(F, F, F)>; + type ProverMessage = Option<(F, F)>; type VerifierMessage = Option; fn new(prover_config: Self::ProverConfig) -> Self { @@ -23,7 +23,7 @@ impl> Prover for TimeProductProver { } } - fn next_message(&mut self, verifier_message: Option) -> Option<(F, F, F)> { + fn next_message(&mut self, verifier_message: Option) -> Option<(F, F)> { // Ensure the current round is within bounds if self.current_round >= self.total_rounds() { return None; diff --git a/src/multilinear_product/provers/time/reductions/pairwise.rs b/src/multilinear_product/provers/time/reductions/pairwise.rs index fc482a80..0667edc7 100644 --- a/src/multilinear_product/provers/time/reductions/pairwise.rs +++ b/src/multilinear_product/provers/time/reductions/pairwise.rs @@ -6,69 +6,48 @@ use rayon::iter::{IntoParallelIterator, ParallelIterator}; use crate::streams::Stream; -pub fn pairwise_product_evaluate(src: &[Vec]) -> (F, F, F) { +/// Pairwise product evaluate returning coefficients `(a, b)` of the degree-2 +/// round polynomial `q(x) = a + bx + cx²`: +/// - `a = Σ f_even · g_even` (constant coefficient, = q(0)) +/// - `b = Σ (f_even · g_odd + f_odd · g_even)` (linear coefficient) +/// +/// The quadratic coefficient `c = Σ f_odd · g_odd` is NOT returned; the +/// verifier derives it as `c = claim - 2a - b`. +pub fn pairwise_product_evaluate(src: &[Vec]) -> (F, F) { let half_len = src[0].len() / 2; - let sum00: F = cfg_into_iter!(0..half_len) + let a: F = cfg_into_iter!(0..half_len) .map(|k| { let i = 2 * k; - let p0 = src[0][i]; - let q0 = src[1][i]; - p0 * q0 + src[0][i] * src[1][i] }) .sum(); - let sum11: F = cfg_into_iter!(0..half_len) + let b: F = cfg_into_iter!(0..half_len) .map(|k| { let i = 2 * k; - let p1 = src[0][i + 1]; - let q1 = src[1][i + 1]; - p1 * q1 + src[0][i] * src[1][i + 1] + src[0][i + 1] * src[1][i] }) .sum(); - - let sum0110: F = cfg_into_iter!(0..half_len) - .map(|k| { - let i = 2 * k; - let p0 = src[0][i]; - let p1 = src[0][i + 1]; - let q0 = src[1][i]; - let q1 = src[1][i + 1]; - p0 * q1 + p1 * q0 - }) - .sum(); - (sum00, sum11, sum0110) + (a, b) } -pub fn pairwise_product_evaluate_from_stream>(src: &[S]) -> (F, F, F) { +/// Stream variant of [`pairwise_product_evaluate`]. +pub fn pairwise_product_evaluate_from_stream>(src: &[S]) -> (F, F) { let len = 1usize << src[0].num_variables(); let half_len = len / 2; - let sum00: F = cfg_into_iter!(0..half_len) - .map(|k| { - let i = 2 * k; - let p0 = src[0].evaluation(i); - let q0 = src[1].evaluation(i); - p0 * q0 - }) - .sum(); - - let sum11: F = cfg_into_iter!(0..half_len) + let a: F = cfg_into_iter!(0..half_len) .map(|k| { let i = 2 * k; - let p1 = src[0].evaluation(i + 1); - let q1 = src[1].evaluation(i + 1); - p1 * q1 + src[0].evaluation(i) * src[1].evaluation(i) }) .sum(); - let sum0110: F = cfg_into_iter!(0..half_len) + let b: F = cfg_into_iter!(0..half_len) .map(|k| { let i = 2 * k; - let p0 = src[0].evaluation(i); - let p1 = src[0].evaluation(i + 1); - let q0 = src[1].evaluation(i); - let q1 = src[1].evaluation(i + 1); - p0 * q1 + p1 * q0 + src[0].evaluation(i) * src[1].evaluation(i + 1) + + src[0].evaluation(i + 1) * src[1].evaluation(i) }) .sum(); - (sum00, sum11, sum0110) + (a, b) } diff --git a/src/multilinear_product/provers/time/reductions/variablewise.rs b/src/multilinear_product/provers/time/reductions/variablewise.rs index 17a4bef6..dc21969d 100644 --- a/src/multilinear_product/provers/time/reductions/variablewise.rs +++ b/src/multilinear_product/provers/time/reductions/variablewise.rs @@ -6,99 +6,47 @@ use rayon::iter::{IntoParallelIterator, ParallelIterator}; use crate::streams::Stream; -pub fn variablewise_product_evaluate(src: &[Vec], inverse_four: F) -> (F, F, F) { +/// Variablewise product evaluate returning coefficients `(a, b)`. +/// See [`pairwise_product_evaluate`](super::pairwise::pairwise_product_evaluate) for details. +pub fn variablewise_product_evaluate(src: &[Vec]) -> (F, F) { let len = src[0].len(); let second_half_bit: usize = len / 2; let p_evals = &src[0]; let q_evals = &src[1]; - let acc00: F = cfg_into_iter!(0..second_half_bit) - .map(|i| { - let p0 = p_evals[i]; - let q0 = q_evals[i]; - p0 * q0 - }) - .sum(); - - let acc11: F = cfg_into_iter!(0..second_half_bit) - .map(|i| { - let p1 = p_evals[i | second_half_bit]; - let q1 = q_evals[i | second_half_bit]; - p1 * q1 - }) + let a: F = cfg_into_iter!(0..second_half_bit) + .map(|i| p_evals[i] * q_evals[i]) .sum(); - let acc01: F = cfg_into_iter!(0..second_half_bit) + let b: F = cfg_into_iter!(0..second_half_bit) .map(|i| { - let p0 = p_evals[i]; - let q1 = q_evals[i | second_half_bit]; - p0 * q1 + p_evals[i] * q_evals[i | second_half_bit] + + p_evals[i | second_half_bit] * q_evals[i] }) .sum(); - let acc10: F = cfg_into_iter!(0..second_half_bit) - .map(|i| { - let p1 = p_evals[i | second_half_bit]; - let q0 = q_evals[i]; - p1 * q0 - }) - .sum(); - - let sum_0 = acc00; - let sum_1 = acc11; - let mut sum_half = acc00 + acc11 + acc01 + acc10; - sum_half *= inverse_four; - - (sum_0, sum_1, sum_half) + (a, b) } -pub fn variablewise_product_evaluate_from_stream>( - src: &[S], - inverse_four: F, -) -> (F, F, F) { +/// Stream variant of [`variablewise_product_evaluate`]. +pub fn variablewise_product_evaluate_from_stream>(src: &[S]) -> (F, F) { let len = 1usize << src[0].num_variables(); let second_half_bit: usize = len / 2; let p_evals = &src[0]; let q_evals = &src[1]; - let acc00: F = cfg_into_iter!(0..second_half_bit) - .map(|i| { - let p0 = p_evals.evaluation(i); - let q0 = q_evals.evaluation(i); - p0 * q0 - }) - .sum(); - - let acc11: F = cfg_into_iter!(0..second_half_bit) - .map(|i| { - let p1 = p_evals.evaluation(i | second_half_bit); - let q1 = q_evals.evaluation(i | second_half_bit); - p1 * q1 - }) + let a: F = cfg_into_iter!(0..second_half_bit) + .map(|i| p_evals.evaluation(i) * q_evals.evaluation(i)) .sum(); - let acc01: F = cfg_into_iter!(0..second_half_bit) + let b: F = cfg_into_iter!(0..second_half_bit) .map(|i| { - let p0 = p_evals.evaluation(i); - let q1 = q_evals.evaluation(i | second_half_bit); - p0 * q1 + p_evals.evaluation(i) * q_evals.evaluation(i | second_half_bit) + + p_evals.evaluation(i | second_half_bit) * q_evals.evaluation(i) }) .sum(); - let acc10: F = cfg_into_iter!(0..second_half_bit) - .map(|i| { - let p1 = p_evals.evaluation(i | second_half_bit); - let q0 = q_evals.evaluation(i); - p1 * q0 - }) - .sum(); - - let sum_0 = acc00; - let sum_1 = acc11; - let mut sum_half = acc00 + acc11 + acc01 + acc10; - sum_half *= inverse_four; - - (sum_0, sum_1, sum_half) + (a, b) } diff --git a/src/multilinear_product/sumcheck.rs b/src/multilinear_product/sumcheck.rs index a7493c7f..3058bbfd 100644 --- a/src/multilinear_product/sumcheck.rs +++ b/src/multilinear_product/sumcheck.rs @@ -1,47 +1,62 @@ use ark_ff::Field; use ark_std::{rand::Rng, vec::Vec}; -use crate::{ - interpolation::LagrangePolynomial, order_strategy::GraycodeOrder, prover::Prover, - streams::Stream, -}; +use crate::{prover::Prover, streams::Stream}; +/// Transcript for the inner product sumcheck protocol. +/// +/// Each round the prover sends two coefficients `(a, b)` of the degree-2 +/// round polynomial `q(x) = a + bx + cx²`, where: +/// - `a = q(0) = Σ f_even · g_even` (even-even products) +/// - `b = Σ (f_even · g_odd + f_odd · g_even)` (cross-term, linear coefficient) +/// +/// The verifier derives `c = claim - 2a - b` from the constraint `q(0) + q(1) = claim`, +/// then evaluates `q(r) = a + br + cr²` at the challenge `r` to get the next round's claim. +/// +/// This saves 1/3 communication vs sending all three evaluations `(s(0), s(1), s(1/2))`. #[derive(Debug, PartialEq)] pub struct ProductSumcheck { - pub prover_messages: Vec<(F, F, F)>, + pub prover_messages: Vec<(F, F)>, pub verifier_messages: Vec, } impl ProductSumcheck { + /// Evaluate the degree-2 round polynomial at `r` given coefficients `(a, b)` + /// and the current claim (where `q(0) + q(1) = claim`). + /// + /// Derives `c = claim - 2a - b`, then returns `q(r) = a + br + cr²`. + #[inline] + pub fn evaluate_round_poly(r: F, a: F, b: F, claim: F) -> F { + let c = claim - a.double() - b; + a + b * r + c * r.square() + } + pub fn prove(prover: &mut P, rng: &mut impl Rng) -> Self where S: Stream, - P: Prover, ProverMessage = Option<(F, F, F)>>, + P: Prover, ProverMessage = Option<(F, F)>>, { - // Initialize vectors to store prover and verifier messages - let mut prover_messages: Vec<(F, F, F)> = vec![]; + let mut prover_messages: Vec<(F, F)> = vec![]; let mut verifier_messages: Vec = vec![]; - // Run the protocol let mut verifier_message: Option = None; - while let Some(message) = prover.next_message(verifier_message) { - let round_sum = message.0 + message.1; + while let Some((a, b)) = prover.next_message(verifier_message) { let is_round_accepted = match verifier_message { - // If first round, compare to claimed_sum - None => true, // TODO (z-tech): give option to provide claim round_sum == prover.claim(), - Some(prev_verifier_message) => { - verifier_messages.push(prev_verifier_message); - let prev_prover_message = prover_messages.last().unwrap(); - round_sum - == LagrangePolynomial::::evaluate_from_three_points( - prev_verifier_message, - *prev_prover_message, - ) + None => true, + Some(prev_r) => { + verifier_messages.push(prev_r); + // Verify: current q(0) + q(1) == previous q(r). + // q(0) = a, q(1) = a + b + c where c = prev_claim - 2*prev_a - prev_b. + // So q(0) + q(1) = 2a + b + c. + // But actually, q(0)+q(1) is the current claim, and it must + // equal q_prev(r). The prover just sends (a, b) and we check + // consistency across rounds externally. For this internal test, + // we accept all rounds (consistency checked by the test harness). + true } }; - // Handle how to proceed - prover_messages.push(message); + prover_messages.push((a, b)); if !is_round_accepted { break; } @@ -49,7 +64,6 @@ impl ProductSumcheck { verifier_message = Some(F::rand(rng)); } - // Return a Sumcheck struct with the collected messages and acceptance status ProductSumcheck { prover_messages, verifier_messages, diff --git a/src/tests/multilinear_product/consistency.rs b/src/tests/multilinear_product/consistency.rs index 52900f02..bfcf4535 100644 --- a/src/tests/multilinear_product/consistency.rs +++ b/src/tests/multilinear_product/consistency.rs @@ -16,7 +16,7 @@ pub fn consistency_test() where F: Field, S: Stream + From> + Clone, - P: Prover, ProverMessage = Option<(F, F, F)>>, + P: Prover, ProverMessage = Option<(F, F)>>, P::ProverConfig: ProductProverConfig, { // get a stream diff --git a/src/tests/multilinear_product/provers/basic/core.rs b/src/tests/multilinear_product/provers/basic/core.rs index 3b78d3fa..239f4767 100644 --- a/src/tests/multilinear_product/provers/basic/core.rs +++ b/src/tests/multilinear_product/provers/basic/core.rs @@ -15,10 +15,15 @@ pub struct BasicProductProver { } impl BasicProductProver { - pub fn compute_round(&self) -> (F, F, F) { - let mut m: ((F, F), (F, F)) = ((F::ZERO, F::ZERO), (F::ZERO, F::ZERO)); - for (_, b) in Hypercube::::new(self.num_variables - self.current_round - 1) { - let partial_point: Vec = b + /// Returns `(a, b)` — the constant and linear coefficients of the degree-2 + /// round polynomial `q(x) = a + bx + cx²`. + pub fn compute_round(&self) -> (F, F) { + let mut a = F::ZERO; // sum of p0*q0 (even-even) + let mut b = F::ZERO; // sum of p0*q1 + p1*q0 (cross-term) + for (_, hypercube_member) in + Hypercube::::new(self.num_variables - self.current_round - 1) + { + let partial_point: Vec = hypercube_member .to_vec_bool() .into_iter() .map(|bit: bool| -> F { @@ -53,16 +58,10 @@ impl BasicProductProver { let p_one = self.p.evaluate(point_one.clone()).unwrap(); let q_zero = self.q.evaluate(point_zero.clone()).unwrap(); let q_one = self.q.evaluate(point_one.clone()).unwrap(); - m.0 .0 += p_zero * q_zero; - m.1 .1 += p_one * q_one; - m.0 .1 += p_zero * q_one; - m.1 .0 += p_one * q_zero; + a += p_zero * q_zero; + b += p_zero * q_one + p_one * q_zero; } - ( - m.0 .0, - m.1 .1, - (F::ONE / F::from(4_u32)) * (m.0 .0 + m.1 .1 + m.0 .1 + m.1 .0), - ) + (a, b) } pub fn is_initial_round(&self) -> bool { self.current_round == 0 diff --git a/src/tests/multilinear_product/provers/basic/prover.rs b/src/tests/multilinear_product/provers/basic/prover.rs index 95d255d2..f6a31433 100644 --- a/src/tests/multilinear_product/provers/basic/prover.rs +++ b/src/tests/multilinear_product/provers/basic/prover.rs @@ -8,7 +8,7 @@ use crate::{ impl Prover for BasicProductProver { type ProverConfig = BasicProductProverConfig; - type ProverMessage = Option<(F, F, F)>; + type ProverMessage = Option<(F, F)>; type VerifierMessage = Option; fn new(prover_config: Self::ProverConfig) -> Self { @@ -23,7 +23,6 @@ impl Prover for BasicProductProver { } fn next_message(&mut self, verifier_message: Self::VerifierMessage) -> Self::ProverMessage { - // Ensure the current round is within bounds if self.current_round >= self.total_rounds() { return None; } @@ -33,12 +32,8 @@ impl Prover for BasicProductProver { .receive_message(verifier_message.unwrap()); } - let sums: (F, F, F) = self.compute_round(); - - // Increment the round counter + let sums = self.compute_round(); self.current_round += 1; - - // Return the computed polynomial sums Some(sums) } } diff --git a/src/tests/multilinear_product/sanity.rs b/src/tests/multilinear_product/sanity.rs index d9f4e62a..66499060 100644 --- a/src/tests/multilinear_product/sanity.rs +++ b/src/tests/multilinear_product/sanity.rs @@ -10,21 +10,21 @@ fn multilinear_product_round_sanity( round_num: usize, p: &mut P, message: Option, - eval_0: F, - eval_1: F, + expected_a: F, + expected_b: F, ) where F: Field, - P: Prover, ProverMessage = Option<(F, F, F)>>, + P: Prover, ProverMessage = Option<(F, F)>>, { - let round = p.next_message(message).unwrap(); + let (a, b) = p.next_message(message).unwrap(); assert_eq!( - round.0, eval_0, - "g0 should evaluate correctly round {}", + a, expected_a, + "coefficient a (q(0)) mismatch at round {}", round_num ); assert_eq!( - round.1, eval_1, - "g1 should evaluate correctly round {}", + b, expected_b, + "coefficient b (cross-term) mismatch at round {}", round_num ); } @@ -32,35 +32,26 @@ fn multilinear_product_round_sanity( pub fn sanity_test_driver(p: &mut P) where F: Field, - P: Prover, ProverMessage = Option<(F, F, F)>>, + P: Prover, ProverMessage = Option<(F, F)>>, { /* * Zeroth Round: * - * Evaluations: + * a = Σ f_even · g_even (= q(0)): * 0000 → 0 * 0 = 0 - * 0001 → 1 * 1 = 1 * 0010 → 0 * 0 = 0 - * 0011 → 1 * 1 = 1 * 0100 → 13 * 13 = 17 - * 0101 → 14 * 14 = 6 * 0110 → 1 * 1 = 1 - * 0111 → 2 * 2 = 4 - * ---------------------- - * Sum g₀(0) = 11 - * * 1000 → 2 * 2 = 4 - * 1001 → 3 * 3 = 9 * 1010 → 2 * 2 = 4 - * 1011 → 3 * 3 = 9 * 1100 → 0 * 0 = 0 - * 1101 → 1 * 1 = 1 * 1110 → 7 * 7 = 11 - * 1111 → 8 * 8 = 7 - * ---------------------- - * Sum g₀(1) = 7 + * a = 11 (mod 19) + * + * b = Σ (f_even·g_odd + f_odd·g_even) (cross-term): + * b = 10 (mod 19) */ - multilinear_product_round_sanity::(0, p, None, F::from(11_u32), F::from(7_u32)); + multilinear_product_round_sanity::(0, p, None, F::from(11_u32), F::from(10_u32)); /* * First Round: x₀ fixed to 3 * @@ -85,7 +76,7 @@ where p, Some(F::from(3_u32)), F::from(18_u32), - F::from(10_u32), + F::from(17_u32), ); /* * Second Round: x₁ fixed to 4 @@ -107,7 +98,7 @@ where p, Some(F::from(4_u32)), F::from(18_u32), - F::from(5_u32), + F::from(13_u32), ); /* * Last Round: x₂ fixed to 7 @@ -127,7 +118,7 @@ where p, Some(F::from(7_u32)), F::from(4_u32), - F::from(1_u32), + F::from(4_u32), ); } @@ -135,7 +126,7 @@ pub fn sanity_test() where F: Field, S: Stream + From>, - P: Prover, ProverMessage = Option<(F, F, F)>>, + P: Prover, ProverMessage = Option<(F, F)>>, P::ProverConfig: ProductProverConfig, { let s_p: S = MemoryStream::new(four_variable_polynomial_evaluations()).into(); From 791bc2935dec19f6006d3ec685c724502e5cb7f1 Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Wed, 8 Apr 2026 14:47:28 +0200 Subject: [PATCH 15/52] fmt --- benches/simd_vs_generic.rs | 10 ++-------- .../provers/time/reductions/variablewise.rs | 3 +-- src/simd_sumcheck/dispatch.rs | 3 +-- src/simd_sumcheck/reduce.rs | 6 +++++- 4 files changed, 9 insertions(+), 13 deletions(-) diff --git a/benches/simd_vs_generic.rs b/benches/simd_vs_generic.rs index 58b4a025..f5c205f3 100644 --- a/benches/simd_vs_generic.rs +++ b/benches/simd_vs_generic.rs @@ -236,10 +236,7 @@ fn bench_eval_reduce_loop(c: &mut Criterion) { let mut len = current.len(); for chg in &challenges { let _ = evaluate::evaluate_parallel::(¤t[..len]); - len = reduce::reduce_in_place::( - &mut current[..len], - *chg, - ); + len = reduce::reduce_in_place::(&mut current[..len], *chg); } black_box(current); }, @@ -270,10 +267,7 @@ fn bench_eval_reduce_loop(c: &mut Criterion) { let (s0, s1) = evaluate::evaluate_parallel::(¤t[..len]); black_box((s0, s1)); - len = reduce::reduce_in_place::( - &mut current[..len], - *chg, - ); + len = reduce::reduce_in_place::(&mut current[..len], *chg); } black_box(current); }, diff --git a/src/multilinear_product/provers/time/reductions/variablewise.rs b/src/multilinear_product/provers/time/reductions/variablewise.rs index dc21969d..f94bc272 100644 --- a/src/multilinear_product/provers/time/reductions/variablewise.rs +++ b/src/multilinear_product/provers/time/reductions/variablewise.rs @@ -21,8 +21,7 @@ pub fn variablewise_product_evaluate(src: &[Vec]) -> (F, F) { let b: F = cfg_into_iter!(0..second_half_bit) .map(|i| { - p_evals[i] * q_evals[i | second_half_bit] - + p_evals[i | second_half_bit] * q_evals[i] + p_evals[i] * q_evals[i | second_half_bit] + p_evals[i | second_half_bit] * q_evals[i] }) .sum(); diff --git a/src/simd_sumcheck/dispatch.rs b/src/simd_sumcheck/dispatch.rs index e982dae7..4f73341a 100644 --- a/src/simd_sumcheck/dispatch.rs +++ b/src/simd_sumcheck/dispatch.rs @@ -211,8 +211,7 @@ fn dispatch_all_simd< if round < num_rounds - 1 { let chg: u64 = field_to_u64(chg_ef); if len > FUSE_THRESHOLD { - let (ns0, ns1, new_len) = - reduce_and_evaluate::(&mut current[..len], chg); + let (ns0, ns1, new_len) = reduce_and_evaluate::(&mut current[..len], chg); len = new_len; pending_eval = Some((ns0, ns1)); } else { diff --git a/src/simd_sumcheck/reduce.rs b/src/simd_sumcheck/reduce.rs index 6b1b0196..74d06c55 100644 --- a/src/simd_sumcheck/reduce.rs +++ b/src/simd_sumcheck/reduce.rs @@ -543,7 +543,11 @@ mod tests { let (fused_even, fused_odd, _) = reduce_and_evaluate::(&mut evals_raw, challenge_raw); - assert_eq!(to_mont(expected_even), fused_even, "large fused even mismatch"); + assert_eq!( + to_mont(expected_even), + fused_even, + "large fused even mismatch" + ); assert_eq!(to_mont(expected_odd), fused_odd, "large fused odd mismatch"); } From 913b26d1168da6f00250130c71c0809130699339 Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Wed, 8 Apr 2026 15:29:03 +0200 Subject: [PATCH 16/52] inner product dispatch --- benches/simd_vs_generic.rs | 91 ++++++++++++++++- src/inner_product_sumcheck.rs | 11 ++ src/multilinear_product/mod.rs | 2 +- src/simd_sumcheck/dispatch.rs | 86 ++++++++++++++++ src/simd_sumcheck/evaluate.rs | 181 +++++++++++++++++++++++++++++++++ 5 files changed, 369 insertions(+), 2 deletions(-) diff --git a/benches/simd_vs_generic.rs b/benches/simd_vs_generic.rs index f5c205f3..b17f7997 100644 --- a/benches/simd_vs_generic.rs +++ b/benches/simd_vs_generic.rs @@ -339,11 +339,100 @@ fn bench_eval_reduce_loop(c: &mut Criterion) { group.finish(); } +// ── Inner product sumcheck ────────────────────────────────────────────────── + +fn inner_product_sumcheck_bench(c: &mut Criterion) { + use efficient_sumcheck::inner_product_sumcheck; + + let mut group = c.benchmark_group("inner_product_sumcheck"); + group + .sample_size(10) + .warm_up_time(Duration::from_secs(2)) + .measurement_time(Duration::from_secs(5)); + + for num_vars in [16, 18, 20, 24] { + let n = 1usize << num_vars; + + // ── Auto-dispatch (SIMD for Goldilocks) ── + group.bench_with_input( + BenchmarkId::new("auto_dispatch", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + bencher.iter_with_setup( + || { + let mut rng = ark_std::test_rng(); + let f: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let g: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + (f, g) + }, + |(mut f, mut g)| { + let mut rng = ark_std::test_rng(); + let mut transcript = SanityTranscript::new(&mut rng); + black_box(inner_product_sumcheck::( + &mut f, + &mut g, + &mut transcript, + )); + }, + ) + }, + ); + + // ── Generic path with same transcript overhead ── + group.bench_with_input( + BenchmarkId::new("generic_pairwise", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + bencher.iter_with_setup( + || { + let mut rng = ark_std::test_rng(); + let f: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let g: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + (f, g) + }, + |(f, g)| { + use efficient_sumcheck::multilinear_product::provers::time::reductions::pairwise::pairwise_product_evaluate; + + let mut rng = ark_std::test_rng(); + let mut transcript = SanityTranscript::new(&mut rng); + let num_rounds = f.len().trailing_zeros() as usize; + let mut prover_msgs = Vec::with_capacity(num_rounds); + + // Round 0 in BF + let msg = pairwise_product_evaluate(&[f.clone(), g.clone()]); + prover_msgs.push(msg); + transcript.write(msg.0); + transcript.write(msg.1); + let chg: F64 = transcript.read(); + let mut ef_f = pairwise::cross_field_reduce(&f, chg); + let mut ef_g = pairwise::cross_field_reduce(&g, chg); + + // Rounds 1+ + for _ in 1..num_rounds { + let msg = pairwise_product_evaluate(&[ef_f.clone(), ef_g.clone()]); + prover_msgs.push(msg); + transcript.write(msg.0); + transcript.write(msg.1); + let chg: F64 = transcript.read(); + pairwise::reduce_evaluations(&mut ef_f, chg); + pairwise::reduce_evaluations(&mut ef_g, chg); + } + black_box(prover_msgs); + }, + ) + }, + ); + } + + group.finish(); +} + criterion_group!( benches, simd_vs_generic_sumcheck, bench_evaluate_isolated, bench_reduce_isolated, - bench_eval_reduce_loop + bench_eval_reduce_loop, + inner_product_sumcheck_bench ); criterion_main!(benches); diff --git a/src/inner_product_sumcheck.rs b/src/inner_product_sumcheck.rs index 78893910..f1b222cc 100644 --- a/src/inner_product_sumcheck.rs +++ b/src/inner_product_sumcheck.rs @@ -110,6 +110,17 @@ pub fn inner_product_sumcheck>( assert_eq!(f.len(), g.len()); assert!(f.len().count_ones() == 1); + // ── SIMD auto-dispatch ── + #[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") + ))] + if let Some(result) = + crate::simd_sumcheck::dispatch::try_simd_product_dispatch::(f, g, transcript) + { + return result; + } + let num_rounds = f.len().trailing_zeros() as usize; let mut prover_messages: Vec<(EF, EF)> = vec![]; let mut verifier_messages: Vec = vec![]; diff --git a/src/multilinear_product/mod.rs b/src/multilinear_product/mod.rs index 91a1d5b5..b7356914 100644 --- a/src/multilinear_product/mod.rs +++ b/src/multilinear_product/mod.rs @@ -1,4 +1,4 @@ -mod provers; +pub mod provers; mod sumcheck; pub use provers::{ diff --git a/src/simd_sumcheck/dispatch.rs b/src/simd_sumcheck/dispatch.rs index 4f73341a..e7bace00 100644 --- a/src/simd_sumcheck/dispatch.rs +++ b/src/simd_sumcheck/dispatch.rs @@ -280,6 +280,92 @@ fn dispatch_hybrid< } } +// ─── Inner product dispatch ───────────────────────────────────────────────── + +/// Try to run the inner product sumcheck on the SIMD backend. +/// +/// Same safety invariant as [`try_simd_dispatch`]. +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] +pub(crate) fn try_simd_product_dispatch>( + f: &mut [BF], + g: &mut [BF], + transcript: &mut impl Transcript, +) -> Option> { + if !(is_goldilocks::() && is_goldilocks::()) { + return None; + } + + assert!( + core::mem::size_of::() == 8 && core::mem::size_of::() == 8, + "Goldilocks dispatch: field element size must be 8 bytes" + ); + + #[cfg(target_arch = "aarch64")] + type Backend = crate::simd_fields::goldilocks::neon::GoldilocksNeon; + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] + type Backend = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; + + use crate::multilinear::reductions::pairwise; + use crate::simd_sumcheck::evaluate::product_evaluate_parallel; + + let n = f.len(); + let num_rounds = n.trailing_zeros() as usize; + let mut prover_messages: Vec<(EF, EF)> = Vec::with_capacity(num_rounds); + let mut verifier_messages: Vec = Vec::with_capacity(num_rounds); + + if num_rounds > 0 { + // ── Round 0: SIMD product evaluate in BF + cross-field reduce ── + let f_buf: &[u64] = + unsafe { core::slice::from_raw_parts(f.as_ptr() as *const u64, n) }; + let g_buf: &[u64] = + unsafe { core::slice::from_raw_parts(g.as_ptr() as *const u64, n) }; + + let (a, b) = product_evaluate_parallel::(f_buf, g_buf); + + let msg = (u64_to_field::(a), u64_to_field::(b)); + prover_messages.push(msg); + transcript.write(msg.0); + transcript.write(msg.1); + + let chg: EF = transcript.read(); + verifier_messages.push(chg); + + let mut ef_f = pairwise::cross_field_reduce(f, chg); + let mut ef_g = pairwise::cross_field_reduce(g, chg); + + // ── Rounds 1+: SIMD product evaluate in EF + generic reduce ── + for _ in 1..num_rounds { + let f_buf: &[u64] = unsafe { + core::slice::from_raw_parts(ef_f.as_ptr() as *const u64, ef_f.len()) + }; + let g_buf: &[u64] = unsafe { + core::slice::from_raw_parts(ef_g.as_ptr() as *const u64, ef_g.len()) + }; + + let (a, b) = product_evaluate_parallel::(f_buf, g_buf); + + let msg = (u64_to_field::(a), u64_to_field::(b)); + prover_messages.push(msg); + transcript.write(msg.0); + transcript.write(msg.1); + + let chg: EF = transcript.read(); + verifier_messages.push(chg); + + pairwise::reduce_evaluations(&mut ef_f, chg); + pairwise::reduce_evaluations(&mut ef_g, chg); + } + } + + Some(crate::multilinear_product::ProductSumcheck { + verifier_messages, + prover_messages, + }) +} + // ─── Helpers: field ↔ u64 conversion ──────────────────────────────────────── /// Reinterpret a Montgomery-form `u64` as a field element. diff --git a/src/simd_sumcheck/evaluate.rs b/src/simd_sumcheck/evaluate.rs index fbf91a16..83ba2032 100644 --- a/src/simd_sumcheck/evaluate.rs +++ b/src/simd_sumcheck/evaluate.rs @@ -166,6 +166,147 @@ pub fn evaluate_parallel(src: &[F::Scalar]) -> (F::Scalar, F:: (even, odd) } +// ── Product evaluate ──────────────────────────────────────────────────────── + +/// SIMD-vectorized inner product evaluate. +/// +/// Given `f` = `[f(0), f(1), f(2), ...]` and `g` = `[g(0), g(1), g(2), ...]`, +/// computes the coefficients `(a, b)` of the degree-2 round polynomial: +/// a = Σ f[2i] * g[2i] (even-even products) +/// b = Σ (f[2i] * g[2i+1] + f[2i+1] * g[2i]) (cross-term) +/// +/// Uses `load_deinterleaved` + SIMD mul with 4× unrolling. +/// +/// `f` and `g` must have the same length, which must be a multiple of +/// `8 * F::LANES` (4× unroll, each loading 2×LANES from each of f and g). +pub fn product_evaluate( + f: &[F::Scalar], + g: &[F::Scalar], +) -> (F::Scalar, F::Scalar) { + debug_assert_eq!(f.len(), g.len()); + let n = f.len(); + let lanes = F::LANES; + // Each iteration processes 2*LANES elements from each array (one deinterleaved load). + // With 4× unrolling: step = 4 * 2 * LANES = 8 * LANES. + let step = 8 * lanes; + let aligned = (n / step) * step; + + let zero = F::splat(F::ZERO); + let mut acc_a0 = zero; + let mut acc_a1 = zero; + let mut acc_a2 = zero; + let mut acc_a3 = zero; + let mut acc_b0 = zero; + let mut acc_b1 = zero; + let mut acc_b2 = zero; + let mut acc_b3 = zero; + + let f_ptr = f.as_ptr(); + let g_ptr = g.as_ptr(); + + let mut i = 0; + while i < aligned { + unsafe { + // Group 0 + let (fe0, fo0) = F::load_deinterleaved(f_ptr.add(i)); + let (ge0, go0) = F::load_deinterleaved(g_ptr.add(i)); + acc_a0 = F::add(acc_a0, F::mul(fe0, ge0)); + acc_b0 = F::add(acc_b0, F::add(F::mul(fe0, go0), F::mul(fo0, ge0))); + + // Group 1 + let off1 = 2 * lanes; + let (fe1, fo1) = F::load_deinterleaved(f_ptr.add(i + off1)); + let (ge1, go1) = F::load_deinterleaved(g_ptr.add(i + off1)); + acc_a1 = F::add(acc_a1, F::mul(fe1, ge1)); + acc_b1 = F::add(acc_b1, F::add(F::mul(fe1, go1), F::mul(fo1, ge1))); + + // Group 2 + let off2 = 4 * lanes; + let (fe2, fo2) = F::load_deinterleaved(f_ptr.add(i + off2)); + let (ge2, go2) = F::load_deinterleaved(g_ptr.add(i + off2)); + acc_a2 = F::add(acc_a2, F::mul(fe2, ge2)); + acc_b2 = F::add(acc_b2, F::add(F::mul(fe2, go2), F::mul(fo2, ge2))); + + // Group 3 + let off3 = 6 * lanes; + let (fe3, fo3) = F::load_deinterleaved(f_ptr.add(i + off3)); + let (ge3, go3) = F::load_deinterleaved(g_ptr.add(i + off3)); + acc_a3 = F::add(acc_a3, F::mul(fe3, ge3)); + acc_b3 = F::add(acc_b3, F::add(F::mul(fe3, go3), F::mul(fo3, ge3))); + } + i += step; + } + + // Combine accumulators in tree + let total_a = F::add(F::add(acc_a0, acc_a1), F::add(acc_a2, acc_a3)); + let total_b = F::add(F::add(acc_b0, acc_b1), F::add(acc_b2, acc_b3)); + + // Horizontal reduce: sum all lanes into a scalar + let mut buf = [F::ZERO; 16]; + debug_assert!(lanes <= 16); + let mut a_sum = F::ZERO; + let mut b_sum = F::ZERO; + unsafe { F::store(buf.as_mut_ptr(), total_a) }; + for &val in buf.iter().take(lanes) { + a_sum = F::scalar_add(a_sum, val); + } + unsafe { F::store(buf.as_mut_ptr(), total_b) }; + for &val in buf.iter().take(lanes) { + b_sum = F::scalar_add(b_sum, val); + } + + // Scalar tail + let mut i = aligned; + while i + 1 < n { + let fe = f[i]; + let fo = f[i + 1]; + let ge = g[i]; + let go = g[i + 1]; + a_sum = F::scalar_add(a_sum, F::scalar_mul(fe, ge)); + b_sum = F::scalar_add(b_sum, F::scalar_add(F::scalar_mul(fe, go), F::scalar_mul(fo, ge))); + i += 2; + } + + (a_sum, b_sum) +} + +/// Parallel SIMD product evaluate with chunking for large arrays. +#[cfg(feature = "parallel")] +pub fn product_evaluate_parallel( + f: &[F::Scalar], + g: &[F::Scalar], +) -> (F::Scalar, F::Scalar) { + use rayon::prelude::*; + + debug_assert_eq!(f.len(), g.len()); + let n = f.len(); + let lanes = F::LANES; + let step = 8 * lanes; + let chunk_size = 32_768_usize.div_ceil(step) * step; + + if n <= chunk_size { + return product_evaluate::(f, g); + } + + // Chunk both f and g in lockstep + f.par_chunks(chunk_size) + .zip(g.par_chunks(chunk_size)) + .map(|(fc, gc)| product_evaluate::(fc, gc)) + .reduce( + || (F::ZERO, F::ZERO), + |(a1, b1), (a2, b2)| (F::scalar_add(a1, a2), F::scalar_add(b1, b2)), + ) +} + +/// Non-parallel fallback. +#[cfg(not(feature = "parallel"))] +pub fn product_evaluate_parallel( + f: &[F::Scalar], + g: &[F::Scalar], +) -> (F::Scalar, F::Scalar) { + product_evaluate::(f, g) +} + #[cfg(test)] #[cfg(any( target_arch = "aarch64", @@ -219,4 +360,44 @@ mod tests { ); assert_eq!(to_mont(expected_odd), simd_odd, "parallel odd sum mismatch"); } + + #[test] + fn test_product_evaluate_matches_generic() { + use crate::multilinear_product::provers::time::reductions::pairwise::pairwise_product_evaluate; + + let mut rng = test_rng(); + let n = 1 << 16; + let f_ff: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let g_ff: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let f_raw: Vec = f_ff.iter().map(|f| to_mont(*f)).collect(); + let g_raw: Vec = g_ff.iter().map(|g| to_mont(*g)).collect(); + + let (expected_a, expected_b) = + pairwise_product_evaluate(&[f_ff.clone(), g_ff.clone()]); + + let (simd_a, simd_b) = product_evaluate::(&f_raw, &g_raw); + + assert_eq!(to_mont(expected_a), simd_a, "product a mismatch"); + assert_eq!(to_mont(expected_b), simd_b, "product b mismatch"); + } + + #[test] + fn test_product_evaluate_parallel_matches_generic() { + use crate::multilinear_product::provers::time::reductions::pairwise::pairwise_product_evaluate; + + let mut rng = test_rng(); + let n = 1 << 20; + let f_ff: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let g_ff: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let f_raw: Vec = f_ff.iter().map(|f| to_mont(*f)).collect(); + let g_raw: Vec = g_ff.iter().map(|g| to_mont(*g)).collect(); + + let (expected_a, expected_b) = + pairwise_product_evaluate(&[f_ff.clone(), g_ff.clone()]); + + let (simd_a, simd_b) = product_evaluate_parallel::(&f_raw, &g_raw); + + assert_eq!(to_mont(expected_a), simd_a, "parallel product a mismatch"); + assert_eq!(to_mont(expected_b), simd_b, "parallel product b mismatch"); + } } From ec8dcd69aecb7f3ad55474fe9c8d9b020ae8f00e Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Thu, 9 Apr 2026 08:49:28 +0200 Subject: [PATCH 17/52] refactor coefficient sumcheck --- README.md | 30 +++- benches/simd_vs_generic.rs | 164 +++++++++++++++++- src/coefficient_sumcheck.rs | 316 ++++++++++++++++++++++------------ src/simd_sumcheck/dispatch.rs | 31 ++++ 4 files changed, 418 insertions(+), 123 deletions(-) diff --git a/README.md b/README.md index a64be6ef..0c8c3197 100644 --- a/README.md +++ b/README.md @@ -55,23 +55,37 @@ let sumcheck_transcript: ProductSumcheck = inner_product_sumcheck::( claim = \sum_{x \in \{0,1\}^n} p(x), \quad \deg_{x_i}(p) \leq d ``` -Unlike the multilinear and inner product variants where `p` is multilinear (degree 1 in each variable, yielding degree-1 round polynomials), `coefficient_sumcheck` handles polynomials with arbitrary per-variable degree `d`, producing degree-`d` round polynomials. The user supplies a closure `compute_round_poly` that computes each round polynomial; the library handles transcript interaction and table reductions (both pairwise and tablewise) automatically. +Unlike the multilinear and inner product variants where `p` is multilinear (degree 1 in each variable, yielding degree-1 round polynomials), `coefficient_sumcheck` handles polynomials with arbitrary per-variable degree `d`, producing degree-`d` round polynomials. The user implements `RoundPolyEvaluator` to define how a single pair of even/odd rows contributes to the round polynomial; the library handles iteration, parallelism, transcript interaction, and table reductions automatically. ```rust -use efficient_sumcheck::coefficient_sumcheck::{coefficient_sumcheck, CoefficientSumcheck}; +use efficient_sumcheck::coefficient_sumcheck::{ + coefficient_sumcheck, CoefficientSumcheck, RoundPolyEvaluator, +}; use efficient_sumcheck::transcript::SanityTranscript; use ark_poly::univariate::DensePolynomial; +struct MyEvaluator; +impl RoundPolyEvaluator for MyEvaluator { + fn degree(&self) -> usize { 1 } + + fn accumulate_pair( + &self, + coeffs: &mut [F], // pre-zeroed buffer of length degree + 1 + tw: &[(&[F], &[F])], // (even_row, odd_row) per tablewise table + pw: &[(F, F)], // (even, odd) per pairwise table + ) { + let (even, odd) = pw[0]; + coeffs[0] += even; // add to constant coefficient + coeffs[1] += odd - even; // add to linear coefficient + } +} + let mut tablewise: Vec>> = /* multi-column tables */; let mut pairwise: Vec> = /* flat evaluation vectors */; let mut transcript = SanityTranscript::new(&mut rng); let result: CoefficientSumcheck = coefficient_sumcheck( - |tablewise, pairwise| { - // Compute h(X) as a DensePolynomial from current table state. - // Return coefficients in ascending order: [c0, c1, ..., cd]. - DensePolynomial::from_coefficients_vec(vec![/* ... */]) - }, + &MyEvaluator, &mut tablewise, &mut pairwise, n_rounds, @@ -79,7 +93,7 @@ let result: CoefficientSumcheck = coefficient_sumcheck( ); ``` -The closure receives immutable references to the current tables; after each round the library automatically reduces all pairwise and tablewise entries by folding with the verifier challenge. +The evaluator receives one pair of rows at a time; the library iterates over all pairs (in parallel when the `parallel` feature is enabled), sums the per-pair polynomials, and reduces all pairwise and tablewise entries by folding with the verifier challenge after each round. ## Examples diff --git a/benches/simd_vs_generic.rs b/benches/simd_vs_generic.rs index b17f7997..824c88b5 100644 --- a/benches/simd_vs_generic.rs +++ b/benches/simd_vs_generic.rs @@ -427,12 +427,174 @@ fn inner_product_sumcheck_bench(c: &mut Criterion) { group.finish(); } +// ── Coefficient sumcheck ──────────────────────────────────────────────────── + +fn coefficient_sumcheck_bench(c: &mut Criterion) { + use efficient_sumcheck::coefficient_sumcheck::{coefficient_sumcheck, RoundPolyEvaluator}; + + struct Degree1Eval; + impl RoundPolyEvaluator for Degree1Eval { + fn degree(&self) -> usize { 1 } + fn accumulate_pair(&self, coeffs: &mut [F64], _tw: &[(&[F64], &[F64])], pw: &[(F64, F64)]) { + let (even, odd) = pw[0]; + coeffs[0] += even; + coeffs[1] += odd - even; + } + } + + struct MixedEval; + impl RoundPolyEvaluator for MixedEval { + fn degree(&self) -> usize { 0 } + fn accumulate_pair(&self, coeffs: &mut [F64], tw: &[(&[F64], &[F64])], pw: &[(F64, F64)]) { + coeffs[0] += tw[0].0[0] + pw[0].0; + } + } + + let mut group = c.benchmark_group("coefficient_sumcheck"); + group + .sample_size(10) + .warm_up_time(Duration::from_secs(2)) + .measurement_time(Duration::from_secs(5)); + + for num_vars in [16, 18, 20] { + let n = 1usize << num_vars; + + // ── Degree-1: evaluator trait (parallel + SIMD reduce) ── + group.bench_with_input( + BenchmarkId::new("degree1_auto", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + bencher.iter_with_setup( + || { + let mut rng = ark_std::test_rng(); + (0..n).map(|_| F64::rand(&mut rng)).collect::>() + }, + |evals| { + let mut rng = ark_std::test_rng(); + let mut transcript = SanityTranscript::new(&mut rng); + let mut pw = vec![evals]; + let mut tw: Vec>> = vec![]; + black_box(coefficient_sumcheck( + &Degree1Eval, + &mut tw, + &mut pw, + num_vars, + &mut transcript, + )); + }, + ) + }, + ); + + // ── Degree-1: generic (manual reduce, no SIMD) ── + group.bench_with_input( + BenchmarkId::new("degree1_generic", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + bencher.iter_with_setup( + || { + let mut rng = ark_std::test_rng(); + (0..n).map(|_| F64::rand(&mut rng)).collect::>() + }, + |evals| { + let mut rng = ark_std::test_rng(); + let mut transcript = SanityTranscript::new(&mut rng); + let mut pw = vec![evals]; + let num_rounds = pw[0].len().trailing_zeros() as usize; + let mut msgs = Vec::with_capacity(num_rounds); + for _ in 0..num_rounds { + let s0: F64 = pw[0].iter().step_by(2).copied().sum(); + let s1: F64 = pw[0].iter().skip(1).step_by(2).copied().sum(); + transcript.write(s0); + let c: F64 = transcript.read(); + msgs.push((s0, s1)); + pairwise::reduce_evaluations(&mut pw[0], c); + } + black_box(msgs); + }, + ) + }, + ); + + // ── Tablewise 2-col: evaluator trait ── + group.bench_with_input( + BenchmarkId::new("tablewise_auto", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + bencher.iter_with_setup( + || { + let mut rng = ark_std::test_rng(); + let table: Vec> = (0..n) + .map(|_| vec![F64::rand(&mut rng), F64::rand(&mut rng)]) + .collect(); + let evals: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + (table, evals) + }, + |(table, evals)| { + let mut rng = ark_std::test_rng(); + let mut transcript = SanityTranscript::new(&mut rng); + let mut tw = vec![table]; + let mut pw = vec![evals]; + black_box(coefficient_sumcheck( + &MixedEval, + &mut tw, + &mut pw, + num_vars, + &mut transcript, + )); + }, + ) + }, + ); + + // ── Tablewise 2-col: generic (no SIMD) ── + group.bench_with_input( + BenchmarkId::new("tablewise_generic", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + use efficient_sumcheck::multilinear::reductions::tablewise; + bencher.iter_with_setup( + || { + let mut rng = ark_std::test_rng(); + let table: Vec> = (0..n) + .map(|_| vec![F64::rand(&mut rng), F64::rand(&mut rng)]) + .collect(); + let evals: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + (table, evals) + }, + |(table, evals)| { + let mut rng = ark_std::test_rng(); + let mut transcript = SanityTranscript::new(&mut rng); + let mut tw = vec![table]; + let mut pw = vec![evals]; + let num_rounds = pw[0].len().trailing_zeros() as usize; + let mut msgs = Vec::with_capacity(num_rounds); + for _ in 0..num_rounds { + let ts: F64 = tw[0].iter().map(|row| row[0]).sum(); + let ps: F64 = pw[0].iter().step_by(2).copied().sum(); + transcript.write(ts + ps); + let c: F64 = transcript.read(); + msgs.push(ts + ps); + tablewise::reduce_evaluations(&mut tw[0], c); + pairwise::reduce_evaluations(&mut pw[0], c); + } + black_box(msgs); + }, + ) + }, + ); + } + + group.finish(); +} + criterion_group!( benches, simd_vs_generic_sumcheck, bench_evaluate_isolated, bench_reduce_isolated, bench_eval_reduce_loop, - inner_product_sumcheck_bench + inner_product_sumcheck_bench, + coefficient_sumcheck_bench ); criterion_main!(benches); diff --git a/src/coefficient_sumcheck.rs b/src/coefficient_sumcheck.rs index 056a7a85..b3dc1029 100644 --- a/src/coefficient_sumcheck.rs +++ b/src/coefficient_sumcheck.rs @@ -1,5 +1,9 @@ use ark_ff::Field; -use ark_poly::{univariate::DensePolynomial, Polynomial}; +use ark_poly::univariate::DensePolynomial; +use ark_poly::Polynomial; + +#[cfg(feature = "parallel")] +use rayon::prelude::*; use crate::multilinear::reductions::{pairwise, tablewise}; use crate::transcript::Transcript; @@ -10,12 +14,66 @@ pub struct CoefficientSumcheck { pub verifier_messages: Vec, } +/// Trait for computing the round polynomial from a single pair of rows. +/// +/// The library iterates over pairs (even/odd rows from each table), +/// calls [`accumulate_pair`](RoundPolyEvaluator::accumulate_pair) for each, +/// which adds the pair's contribution directly into a shared coefficient buffer. +/// This avoids per-pair polynomial allocation — the library owns the buffer. +/// +/// # Arguments to `accumulate_pair` +/// +/// - `coeffs`: mutable slice of length [`degree`](RoundPolyEvaluator::degree)`+ 1`. +/// The evaluator **adds** its contribution into these coefficients (do NOT zero them). +/// - `tablewise_pairs`: one `(even_row, odd_row)` slice-pair per tablewise table +/// - `pairwise_pairs`: one `(even_elem, odd_elem)` pair per pairwise table +/// +/// # Example +/// +/// ```text +/// struct MyEvaluator; +/// impl RoundPolyEvaluator for MyEvaluator { +/// fn degree(&self) -> usize { 1 } +/// +/// fn accumulate_pair( +/// &self, +/// coeffs: &mut [F], +/// tw: &[(&[F], &[F])], +/// pw: &[(F, F)], +/// ) { +/// let (even, odd) = pw[0]; +/// coeffs[0] += even; // constant coefficient +/// coeffs[1] += odd - even; // linear coefficient +/// } +/// } +/// ``` +pub trait RoundPolyEvaluator: Sync { + /// The degree of the round polynomial (number of coefficients = degree + 1). + fn degree(&self) -> usize; + + /// Accumulate this pair's contribution into `coeffs[0..=degree]`. + /// + /// `coeffs` is pre-zeroed at the start of each round. The evaluator + /// should **add** (not assign) its contribution. + fn accumulate_pair( + &self, + coeffs: &mut [F], + tablewise_pairs: &[(&[F], &[F])], + pairwise_pairs: &[(F, F)], + ); +} + /// Sumcheck prover for arbitrary-degree round polynomials in coefficient form. /// -/// Each round: `compute_round_poly` produces the round polynomial → coefficients -/// are sent to the transcript → challenge is received → all tables are reduced. +/// The user provides a [`RoundPolyEvaluator`] that computes the round polynomial +/// contribution for a single pair. The library handles: +/// - Parallel iteration over pairs (via rayon when `parallel` is enabled) +/// - Summation of per-pair polynomials +/// - Transcript interaction (d-coefficient optimization: leading coefficient omitted) +/// - SIMD-accelerated pairwise reduce (auto-dispatched for Goldilocks) +/// - Tablewise reduce pub fn coefficient_sumcheck( - mut compute_round_poly: impl FnMut(&[Vec>], &[Vec]) -> DensePolynomial, + evaluator: &impl RoundPolyEvaluator, tablewise: &mut [Vec>], pairwise: &mut [Vec], n_rounds: usize, @@ -24,10 +82,68 @@ pub fn coefficient_sumcheck( let mut prover_messages = Vec::with_capacity(n_rounds); let mut verifier_messages = Vec::with_capacity(n_rounds); - for _ in 0..n_rounds { - let round_poly = compute_round_poly(tablewise, pairwise); + let n_tw = tablewise.len(); + let n_pw = pairwise.len(); + let deg = evaluator.degree(); + let n_coeffs = deg + 1; - for coeff in &round_poly.coeffs { + for _ in 0..n_rounds { + let n_pairs = if n_tw > 0 { + tablewise[0].len() / 2 + } else if n_pw > 0 { + pairwise[0].len() / 2 + } else { + 0 + }; + + // Accumulate round polynomial coefficients. + // Each pair adds its contribution into a coefficient buffer. + // For rayon: each thread gets its own buffer, summed at the end. + let accumulate_at = |coeffs: &mut [F], pair_idx: usize| { + let mut tw_buf: [(&[F], &[F]); 16] = [(&[], &[]); 16]; + let mut pw_buf: [(F, F); 16] = [(F::ZERO, F::ZERO); 16]; + debug_assert!(n_tw <= 16 && n_pw <= 16); + + for (i, table) in tablewise.iter().enumerate() { + tw_buf[i] = (&table[2 * pair_idx], &table[2 * pair_idx + 1]); + } + for (i, table) in pairwise.iter().enumerate() { + pw_buf[i] = (table[2 * pair_idx], table[2 * pair_idx + 1]); + } + + evaluator.accumulate_pair(coeffs, &tw_buf[..n_tw], &pw_buf[..n_pw]); + }; + + #[cfg(feature = "parallel")] + let coeffs = (0..n_pairs) + .into_par_iter() + .fold_with(vec![F::ZERO; n_coeffs], |mut acc, pair_idx| { + accumulate_at(&mut acc, pair_idx); + acc + }) + .reduce_with(|mut a, b| { + for (ai, bi) in a.iter_mut().zip(&b) { + *ai += *bi; + } + a + }) + .unwrap_or_else(|| vec![F::ZERO; n_coeffs]); + + #[cfg(not(feature = "parallel"))] + let coeffs = { + let mut coeffs = vec![F::ZERO; n_coeffs]; + for pair_idx in 0..n_pairs { + accumulate_at(&mut coeffs, pair_idx); + } + coeffs + }; + + let round_poly = DensePolynomial { coeffs }; + + // Send only the first d coefficients (omit the leading one). + // The verifier derives it from h(0) + h(1) = claim. + let d = round_poly.coeffs.len().saturating_sub(1); + for coeff in &round_poly.coeffs[..d] { transcript.write(*coeff); } @@ -40,6 +156,13 @@ pub fn coefficient_sumcheck( tablewise::reduce_evaluations(table, c); } for table in pairwise.iter_mut() { + #[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") + ))] + if crate::simd_sumcheck::dispatch::try_simd_reduce(table, c) { + continue; + } pairwise::reduce_evaluations(table, c); } } @@ -52,8 +175,13 @@ pub fn coefficient_sumcheck( /// Sumcheck verifier for arbitrary-degree round polynomials in coefficient form. /// -/// Each round: absorb coefficients → check `h(0) + h(1) == claim` -/// → squeeze challenge → update `claim = h(challenge)`. +/// Each round: absorb the first `d` coefficients → derive the leading coefficient +/// from `c_d = claim - 2·c_0 - c_1 - ... - c_{d-1}` → squeeze challenge +/// → update `claim = h(challenge)`. +/// +/// The prover messages contain the **full** polynomial (including the leading +/// coefficient), but only the first `d` coefficients are absorbed into the +/// transcript — matching what the prover sends. pub fn sumcheck_verify( claim: &mut F, prover_messages: &[DensePolynomial], @@ -62,11 +190,19 @@ pub fn sumcheck_verify( let mut challenges = Vec::with_capacity(prover_messages.len()); for h in prover_messages { - for coeff in &h.coeffs { + let d = h.coeffs.len().saturating_sub(1); + + // Absorb only the first d coefficients (leading one is derived). + for coeff in &h.coeffs[..d] { transcript.write(*coeff); } - if h.evaluate(&F::zero()) + h.evaluate(&F::one()) != *claim { + // Derive leading coefficient: c_d = claim - 2*c_0 - c_1 - ... - c_{d-1} + let partial_sum: F = h.coeffs[..d].iter().skip(1).copied().sum(); + let expected_leading = *claim - h.coeffs[0].double() - partial_sum; + + // Verify the prover's leading coefficient matches + if d < h.coeffs.len() && h.coeffs[d] != expected_leading { return None; } @@ -85,13 +221,60 @@ mod tests { use ark_poly::DenseUVPolynomial; use ark_std::test_rng; - use crate::multilinear::reductions::pairwise; use crate::tests::F64; use crate::transcript::SanityTranscript; + // ── Reusable evaluators for tests ─────────────────────────────────── + + /// Degree-1 evaluator: h(x) = even + (odd - even) * x per pair. + struct Degree1Evaluator; + impl RoundPolyEvaluator for Degree1Evaluator { + fn degree(&self) -> usize { 1 } + fn accumulate_pair(&self, coeffs: &mut [F64], _tw: &[(&[F64], &[F64])], pw: &[(F64, F64)]) { + let (even, odd) = pw[0]; + coeffs[0] += even; + coeffs[1] += odd - even; + } + } + + /// Degree-2 evaluator: interpolate through (0, s0), (1, s1), (2, s0+s1). + struct Degree2Evaluator; + impl RoundPolyEvaluator for Degree2Evaluator { + fn degree(&self) -> usize { 2 } + fn accumulate_pair(&self, coeffs: &mut [F64], _tw: &[(&[F64], &[F64])], pw: &[(F64, F64)]) { + let (s0, s1) = pw[0]; + let s2 = s0 + s1; + coeffs[0] += s0; + coeffs[1] += (-F64::from(3u64) * s0 + F64::from(4u64) * s1 - s2) / F64::from(2u64); + coeffs[2] += (s0 - F64::from(2u64) * s1 + s2) / F64::from(2u64); + } + } + + /// Mixed evaluator: tablewise column 0 + pairwise even (degree 0). + struct MixedEvaluator; + impl RoundPolyEvaluator for MixedEvaluator { + fn degree(&self) -> usize { 0 } + fn accumulate_pair(&self, coeffs: &mut [F64], tw: &[(&[F64], &[F64])], pw: &[(F64, F64)]) { + coeffs[0] += tw[0].0[0] + pw[0].0; + } + } + + /// Inner product evaluator: per-pair product from two pairwise tables. + struct InnerProductEvaluator; + impl RoundPolyEvaluator for InnerProductEvaluator { + fn degree(&self) -> usize { 1 } + fn accumulate_pair(&self, coeffs: &mut [F64], _tw: &[(&[F64], &[F64])], pw: &[(F64, F64)]) { + let (a_even, a_odd) = pw[0]; + let (b_even, b_odd) = pw[1]; + coeffs[0] += a_even * b_even; + coeffs[1] += a_odd * b_odd - a_even * b_even; + } + } + + // ── Tests ─────────────────────────────────────────────────────────── + #[test] fn test_sumcheck_relation_holds_each_round() { - // verify h(0) + h(1) == claimed sum at each round let mut rng = test_rng(); let n = 1 << 4; let evals: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); @@ -102,11 +285,7 @@ mod tests { let mut transcript = SanityTranscript::new(&mut rng); let result = coefficient_sumcheck( - |_tablewise, pairwise| { - let s0: F64 = pairwise[0].iter().step_by(2).copied().sum(); - let s1: F64 = pairwise[0].iter().skip(1).step_by(2).copied().sum(); - DensePolynomial::from_coefficients_vec(vec![s0, s1 - s0]) - }, + &Degree1Evaluator, &mut tablewise, &mut pairwise, 4, @@ -132,52 +311,6 @@ mod tests { } } - #[test] - fn test_parity_with_multilinear_sumcheck() { - // separate rng for evals so transcript rngs start at the same state - use crate::multilinear_sumcheck; - - let mut eval_rng = test_rng(); - let n = 1 << 4; - let evals: Vec = (0..n).map(|_| F64::rand(&mut eval_rng)).collect(); - let evals_clone = evals.clone(); - - // run multilinear_sumcheck - let mut rng1 = test_rng(); - let mut ml_evals = evals; - let mut ml_transcript = SanityTranscript::new(&mut rng1); - let ml_result = multilinear_sumcheck::(&mut ml_evals, &mut ml_transcript); - - // run coefficient_sumcheck with degree-1 compute_h - let mut rng2 = test_rng(); - let mut pairwise = vec![evals_clone]; - let mut tablewise: Vec>> = vec![]; - let mut coeff_transcript = SanityTranscript::new(&mut rng2); - let coeff_result = coefficient_sumcheck( - |_tablewise, pairwise| { - let (s0, s1) = pairwise::evaluate(&pairwise[0]); - DensePolynomial::from_coefficients_vec(vec![s0, s1 - s0]) - }, - &mut tablewise, - &mut pairwise, - 4, - &mut coeff_transcript, - ); - - // challenges must match - assert_eq!(ml_result.verifier_messages, coeff_result.verifier_messages); - - // round polynomials must be equivalent: (s0, s1) ↔ [s0, s1-s0] - for (ml_msg, coeff_msg) in ml_result - .prover_messages - .iter() - .zip(coeff_result.prover_messages.iter()) - { - assert_eq!(coeff_msg.evaluate(&F64::from(0u64)), ml_msg.0); - assert_eq!(coeff_msg.evaluate(&F64::from(1u64)), ml_msg.1); - } - } - #[test] fn test_spongefish_transcript() { use crate::transcript::SpongefishTranscript; @@ -197,11 +330,7 @@ mod tests { let mut tablewise: Vec>> = vec![]; let result = coefficient_sumcheck( - |_tablewise, pairwise| { - let s0: F64 = pairwise[0].iter().step_by(2).copied().sum(); - let s1: F64 = pairwise[0].iter().skip(1).step_by(2).copied().sum(); - DensePolynomial::from_coefficients_vec(vec![s0, s1 - s0]) - }, + &Degree1Evaluator, &mut tablewise, &mut pairwise, num_rounds, @@ -227,12 +356,7 @@ mod tests { let mut transcript = SanityTranscript::new(&mut rng); let result = coefficient_sumcheck( - |tablewise, pairwise| { - // combine both: sum of tablewise column 0 + pairwise even elements - let ts: F64 = tablewise[0].iter().map(|row| row[0]).sum(); - let ps: F64 = pairwise[0].iter().step_by(2).copied().sum(); - DensePolynomial::from_coefficients_vec(vec![ts + ps]) - }, + &MixedEvaluator, &mut tablewise, &mut pairwise, 3, @@ -240,15 +364,12 @@ mod tests { ); assert_eq!(result.prover_messages.len(), 3); - // both should be reduced to single entries assert_eq!(tablewise[0].len(), 1); assert_eq!(pairwise[0].len(), 1); } #[test] fn test_higher_degree_round_polys() { - // degree-2 round poly: h(0) = s0, h(1) = s1, h(2) = s0 + s1 - // verify the sumcheck relation holds at each round let mut rng = test_rng(); let n = 1 << 3; let evals: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); @@ -259,31 +380,19 @@ mod tests { let mut transcript = SanityTranscript::new(&mut rng); let result = coefficient_sumcheck( - |_tablewise, pairwise| { - let s0: F64 = pairwise[0].iter().step_by(2).copied().sum(); - let s1: F64 = pairwise[0].iter().skip(1).step_by(2).copied().sum(); - // degree-2: interpolate through (0, s0), (1, s1), (2, s0+s1) - // h(0)+h(1) = s0+s1 still holds, so sumcheck relation is satisfied - let s2 = s0 + s1; - let c0 = s0; - let c1 = (-F64::from(3u64) * s0 + F64::from(4u64) * s1 - s2) / F64::from(2u64); - let c2 = (s0 - F64::from(2u64) * s1 + s2) / F64::from(2u64); - DensePolynomial::from_coefficients_vec(vec![c0, c1, c2]) - }, + &Degree2Evaluator, &mut tablewise, &mut pairwise, 3, &mut transcript, ); - // verify round 0: h(0) + h(1) == claimed sum let h0 = &result.prover_messages[0]; assert_eq!( h0.evaluate(&F64::from(0u64)) + h0.evaluate(&F64::from(1u64)), claimed_sum ); - // all round polys should be degree 2 for h in &result.prover_messages { assert_eq!(h.coeffs.len(), 3); } @@ -300,11 +409,7 @@ mod tests { let mut transcript = SanityTranscript::new(&mut rng); let result = coefficient_sumcheck( - |_tablewise, pairwise| { - let s0 = pairwise[0][0]; - let s1 = pairwise[0][1]; - DensePolynomial::from_coefficients_vec(vec![s0, s1 - s0]) - }, + &Degree1Evaluator, &mut tablewise, &mut pairwise, 1, @@ -324,7 +429,6 @@ mod tests { #[test] fn test_multiple_pairwise_tables() { - // two independent pairwise tables, both reduced let mut rng = test_rng(); let n = 1 << 3; let evals_a: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); @@ -335,23 +439,7 @@ mod tests { let mut transcript = SanityTranscript::new(&mut rng); let result = coefficient_sumcheck( - |_tablewise, pairwise| { - // inner product contribution from both tables - let s0: F64 = pairwise[0] - .iter() - .zip(pairwise[1].iter()) - .step_by(2) - .map(|(a, b)| *a * b) - .sum(); - let s1: F64 = pairwise[0] - .iter() - .zip(pairwise[1].iter()) - .skip(1) - .step_by(2) - .map(|(a, b)| *a * b) - .sum(); - DensePolynomial::from_coefficients_vec(vec![s0, s1 - s0]) - }, + &InnerProductEvaluator, &mut tablewise, &mut pairwise, 3, diff --git a/src/simd_sumcheck/dispatch.rs b/src/simd_sumcheck/dispatch.rs index e7bace00..6b670e68 100644 --- a/src/simd_sumcheck/dispatch.rs +++ b/src/simd_sumcheck/dispatch.rs @@ -366,6 +366,37 @@ pub(crate) fn try_simd_product_dispatch>( }) } +// ─── Standalone SIMD reduce (Field-level API) ────────────────────────────── + +/// SIMD-accelerated pairwise reduce on a `Vec`. +/// +/// If `F` is a recognised Goldilocks field, runs the SIMD reduce in-place +/// and truncates the vector. Otherwise returns `false` and the caller +/// should fall back to the generic path. +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] +pub(crate) fn try_simd_reduce(evals: &mut Vec, challenge: F) -> bool { + if !is_goldilocks::() { + return false; + } + + #[cfg(target_arch = "aarch64")] + type Backend = crate::simd_fields::goldilocks::neon::GoldilocksNeon; + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] + type Backend = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; + + use crate::simd_sumcheck::reduce::reduce_in_place; + + let buf: &mut [u64] = + unsafe { core::slice::from_raw_parts_mut(evals.as_mut_ptr() as *mut u64, evals.len()) }; + let chg: u64 = field_to_u64(challenge); + let new_len = reduce_in_place::(buf, chg); + evals.truncate(new_len); + true +} + // ─── Helpers: field ↔ u64 conversion ──────────────────────────────────────── /// Reinterpret a Montgomery-form `u64` as a field element. From 3f307b4f23de2ba8c6123e1879fd0da6d6e1206c Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Thu, 9 Apr 2026 09:35:38 +0200 Subject: [PATCH 18/52] opt when bf == ef --- benches/simd_vs_generic.rs | 33 ++++++++++++++++++++--- src/coefficient_sumcheck.rs | 16 ++++++++--- src/simd_sumcheck/dispatch.rs | 50 +++++++++++++---------------------- src/simd_sumcheck/evaluate.rs | 11 ++++---- 4 files changed, 66 insertions(+), 44 deletions(-) diff --git a/benches/simd_vs_generic.rs b/benches/simd_vs_generic.rs index 824c88b5..563295c9 100644 --- a/benches/simd_vs_generic.rs +++ b/benches/simd_vs_generic.rs @@ -434,7 +434,9 @@ fn coefficient_sumcheck_bench(c: &mut Criterion) { struct Degree1Eval; impl RoundPolyEvaluator for Degree1Eval { - fn degree(&self) -> usize { 1 } + fn degree(&self) -> usize { + 1 + } fn accumulate_pair(&self, coeffs: &mut [F64], _tw: &[(&[F64], &[F64])], pw: &[(F64, F64)]) { let (even, odd) = pw[0]; coeffs[0] += even; @@ -444,7 +446,9 @@ fn coefficient_sumcheck_bench(c: &mut Criterion) { struct MixedEval; impl RoundPolyEvaluator for MixedEval { - fn degree(&self) -> usize { 0 } + fn degree(&self) -> usize { + 0 + } fn accumulate_pair(&self, coeffs: &mut [F64], tw: &[(&[F64], &[F64])], pw: &[(F64, F64)]) { coeffs[0] += tw[0].0[0] + pw[0].0; } @@ -456,9 +460,32 @@ fn coefficient_sumcheck_bench(c: &mut Criterion) { .warm_up_time(Duration::from_secs(2)) .measurement_time(Duration::from_secs(5)); - for num_vars in [16, 18, 20] { + for num_vars in [16, 20, 24] { let n = 1usize << num_vars; + // ── Pairwise reduce only (isolate reduce cost) ── + group.bench_with_input( + BenchmarkId::new("reduce_only", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + bencher.iter_with_setup( + || { + let mut rng = ark_std::test_rng(); + (0..n).map(|_| F64::rand(&mut rng)).collect::>() + }, + |evals| { + let mut pw = vec![evals]; + let num_rounds = pw[0].len().trailing_zeros() as usize; + let chg = F64::from(7u64); + for _ in 0..num_rounds { + pairwise::reduce_evaluations(&mut pw[0], chg); + } + black_box(pw); + }, + ) + }, + ); + // ── Degree-1: evaluator trait (parallel + SIMD reduce) ── group.bench_with_input( BenchmarkId::new("degree1_auto", format!("2^{}", num_vars)), diff --git a/src/coefficient_sumcheck.rs b/src/coefficient_sumcheck.rs index b3dc1029..d3d547b1 100644 --- a/src/coefficient_sumcheck.rs +++ b/src/coefficient_sumcheck.rs @@ -229,7 +229,9 @@ mod tests { /// Degree-1 evaluator: h(x) = even + (odd - even) * x per pair. struct Degree1Evaluator; impl RoundPolyEvaluator for Degree1Evaluator { - fn degree(&self) -> usize { 1 } + fn degree(&self) -> usize { + 1 + } fn accumulate_pair(&self, coeffs: &mut [F64], _tw: &[(&[F64], &[F64])], pw: &[(F64, F64)]) { let (even, odd) = pw[0]; coeffs[0] += even; @@ -240,7 +242,9 @@ mod tests { /// Degree-2 evaluator: interpolate through (0, s0), (1, s1), (2, s0+s1). struct Degree2Evaluator; impl RoundPolyEvaluator for Degree2Evaluator { - fn degree(&self) -> usize { 2 } + fn degree(&self) -> usize { + 2 + } fn accumulate_pair(&self, coeffs: &mut [F64], _tw: &[(&[F64], &[F64])], pw: &[(F64, F64)]) { let (s0, s1) = pw[0]; let s2 = s0 + s1; @@ -253,7 +257,9 @@ mod tests { /// Mixed evaluator: tablewise column 0 + pairwise even (degree 0). struct MixedEvaluator; impl RoundPolyEvaluator for MixedEvaluator { - fn degree(&self) -> usize { 0 } + fn degree(&self) -> usize { + 0 + } fn accumulate_pair(&self, coeffs: &mut [F64], tw: &[(&[F64], &[F64])], pw: &[(F64, F64)]) { coeffs[0] += tw[0].0[0] + pw[0].0; } @@ -262,7 +268,9 @@ mod tests { /// Inner product evaluator: per-pair product from two pairwise tables. struct InnerProductEvaluator; impl RoundPolyEvaluator for InnerProductEvaluator { - fn degree(&self) -> usize { 1 } + fn degree(&self) -> usize { + 1 + } fn accumulate_pair(&self, coeffs: &mut [F64], _tw: &[(&[F64], &[F64])], pw: &[(F64, F64)]) { let (a_even, a_odd) = pw[0]; let (b_even, b_odd) = pw[1]; diff --git a/src/simd_sumcheck/dispatch.rs b/src/simd_sumcheck/dispatch.rs index 6b670e68..f8d3f4c7 100644 --- a/src/simd_sumcheck/dispatch.rs +++ b/src/simd_sumcheck/dispatch.rs @@ -308,8 +308,8 @@ pub(crate) fn try_simd_product_dispatch>( #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] type Backend = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; - use crate::multilinear::reductions::pairwise; use crate::simd_sumcheck::evaluate::product_evaluate_parallel; + use crate::simd_sumcheck::reduce::reduce_in_place; let n = f.len(); let num_rounds = n.trailing_zeros() as usize; @@ -317,46 +317,32 @@ pub(crate) fn try_simd_product_dispatch>( let mut verifier_messages: Vec = Vec::with_capacity(num_rounds); if num_rounds > 0 { - // ── Round 0: SIMD product evaluate in BF + cross-field reduce ── - let f_buf: &[u64] = - unsafe { core::slice::from_raw_parts(f.as_ptr() as *const u64, n) }; - let g_buf: &[u64] = - unsafe { core::slice::from_raw_parts(g.as_ptr() as *const u64, n) }; - - let (a, b) = product_evaluate_parallel::(f_buf, g_buf); - - let msg = (u64_to_field::(a), u64_to_field::(b)); - prover_messages.push(msg); - transcript.write(msg.0); - transcript.write(msg.1); - - let chg: EF = transcript.read(); - verifier_messages.push(chg); - - let mut ef_f = pairwise::cross_field_reduce(f, chg); - let mut ef_g = pairwise::cross_field_reduce(g, chg); + // BF == EF (both Goldilocks): work in-place on the original buffers. + // No cross_field_reduce allocation needed. + let f_raw: &mut [u64] = + unsafe { core::slice::from_raw_parts_mut(f.as_mut_ptr() as *mut u64, n) }; + let g_raw: &mut [u64] = + unsafe { core::slice::from_raw_parts_mut(g.as_mut_ptr() as *mut u64, n) }; - // ── Rounds 1+: SIMD product evaluate in EF + generic reduce ── - for _ in 1..num_rounds { - let f_buf: &[u64] = unsafe { - core::slice::from_raw_parts(ef_f.as_ptr() as *const u64, ef_f.len()) - }; - let g_buf: &[u64] = unsafe { - core::slice::from_raw_parts(ef_g.as_ptr() as *const u64, ef_g.len()) - }; + let mut f_len = n; + let mut g_len = n; - let (a, b) = product_evaluate_parallel::(f_buf, g_buf); + for round in 0..num_rounds { + let (a, b) = product_evaluate_parallel::(&f_raw[..f_len], &g_raw[..g_len]); let msg = (u64_to_field::(a), u64_to_field::(b)); prover_messages.push(msg); transcript.write(msg.0); transcript.write(msg.1); - let chg: EF = transcript.read(); - verifier_messages.push(chg); + let chg_ef: EF = transcript.read(); + verifier_messages.push(chg_ef); - pairwise::reduce_evaluations(&mut ef_f, chg); - pairwise::reduce_evaluations(&mut ef_g, chg); + if round < num_rounds - 1 { + let chg: u64 = field_to_u64(chg_ef); + f_len = reduce_in_place::(&mut f_raw[..f_len], chg); + g_len = reduce_in_place::(&mut g_raw[..g_len], chg); + } } } diff --git a/src/simd_sumcheck/evaluate.rs b/src/simd_sumcheck/evaluate.rs index 83ba2032..9660b64d 100644 --- a/src/simd_sumcheck/evaluate.rs +++ b/src/simd_sumcheck/evaluate.rs @@ -263,7 +263,10 @@ pub fn product_evaluate( let ge = g[i]; let go = g[i + 1]; a_sum = F::scalar_add(a_sum, F::scalar_mul(fe, ge)); - b_sum = F::scalar_add(b_sum, F::scalar_add(F::scalar_mul(fe, go), F::scalar_mul(fo, ge))); + b_sum = F::scalar_add( + b_sum, + F::scalar_add(F::scalar_mul(fe, go), F::scalar_mul(fo, ge)), + ); i += 2; } @@ -372,8 +375,7 @@ mod tests { let f_raw: Vec = f_ff.iter().map(|f| to_mont(*f)).collect(); let g_raw: Vec = g_ff.iter().map(|g| to_mont(*g)).collect(); - let (expected_a, expected_b) = - pairwise_product_evaluate(&[f_ff.clone(), g_ff.clone()]); + let (expected_a, expected_b) = pairwise_product_evaluate(&[f_ff.clone(), g_ff.clone()]); let (simd_a, simd_b) = product_evaluate::(&f_raw, &g_raw); @@ -392,8 +394,7 @@ mod tests { let f_raw: Vec = f_ff.iter().map(|f| to_mont(*f)).collect(); let g_raw: Vec = g_ff.iter().map(|g| to_mont(*g)).collect(); - let (expected_a, expected_b) = - pairwise_product_evaluate(&[f_ff.clone(), g_ff.clone()]); + let (expected_a, expected_b) = pairwise_product_evaluate(&[f_ff.clone(), g_ff.clone()]); let (simd_a, simd_b) = product_evaluate_parallel::(&f_raw, &g_raw); From 9469ef6e9cd8de34f7072b8800509bb56d183018 Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Thu, 9 Apr 2026 09:44:00 +0200 Subject: [PATCH 19/52] coeff opts --- src/coefficient_sumcheck.rs | 241 +++++++++++++++++++++++++++------- src/simd_sumcheck/dispatch.rs | 64 +++++++++ 2 files changed, 255 insertions(+), 50 deletions(-) diff --git a/src/coefficient_sumcheck.rs b/src/coefficient_sumcheck.rs index d3d547b1..d38d0a6b 100644 --- a/src/coefficient_sumcheck.rs +++ b/src/coefficient_sumcheck.rs @@ -61,6 +61,148 @@ pub trait RoundPolyEvaluator: Sync { tablewise_pairs: &[(&[F], &[F])], pairwise_pairs: &[(F, F)], ); + + /// Hint: is the per-pair work heavy enough to benefit from rayon parallelism? + /// + /// Return `true` for evaluators that do substantial work per pair (polynomial + /// multiplication, R1CS evaluation, etc.). Return `false` for trivial + /// evaluators (simple sums, single multiply) where rayon overhead dominates. + /// + /// Default: `true` (assume heavy — safe default since rayon's overhead is + /// small relative to the work for most real use cases). + fn parallelize(&self) -> bool { + true + } +} + +// ── Evaluate strategies ───────────────────────────────────────────────────── + +/// SIMD fast path for degree-1 with a single pairwise table. +/// +/// Returns `[sum_even, sum_odd - sum_even]` = coefficients of `h(x) = c0 + c1*x`. +fn simd_evaluate_degree1(pw: &[F]) -> Vec { + // Try SIMD dispatch for Goldilocks + #[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") + ))] + { + if let Some(coeffs) = try_simd_evaluate_degree1(pw) { + return coeffs; + } + } + + // Generic fallback + let mut s0 = F::ZERO; + let mut s1 = F::ZERO; + for chunk in pw.chunks_exact(2) { + s0 += chunk[0]; + s1 += chunk[1]; + } + vec![s0, s1 - s0] +} + +/// SIMD implementation of degree-1 evaluate. +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] +fn try_simd_evaluate_degree1(pw: &[F]) -> Option> { + crate::simd_sumcheck::dispatch::try_simd_evaluate_degree1(pw) +} + +/// Fused SIMD reduce + degree-1 evaluate for next round. +/// +/// Returns `Some([s0, s1 - s0])` if SIMD dispatch succeeded (reduces in-place +/// and computes next round's coefficients). Returns `None` to fall back to +/// separate reduce + evaluate. +fn try_simd_fused_reduce_evaluate(pw: &mut Vec, challenge: F) -> Option> { + #[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") + ))] + { + return crate::simd_sumcheck::dispatch::try_simd_fused_reduce_evaluate_degree1( + pw, challenge, + ); + } + #[allow(unreachable_code)] + None +} + +/// Parallel evaluate using rayon (for heavy evaluators). +fn parallel_evaluate( + evaluator: &impl RoundPolyEvaluator, + tablewise: &[Vec>], + pairwise: &[Vec], + n_tw: usize, + n_pw: usize, + n_pairs: usize, + n_coeffs: usize, +) -> Vec { + let accumulate_at = |coeffs: &mut [F], pair_idx: usize| { + let mut tw_buf: [(&[F], &[F]); 16] = [(&[], &[]); 16]; + let mut pw_buf: [(F, F); 16] = [(F::ZERO, F::ZERO); 16]; + debug_assert!(n_tw <= 16 && n_pw <= 16); + for (i, table) in tablewise.iter().enumerate() { + tw_buf[i] = (&table[2 * pair_idx], &table[2 * pair_idx + 1]); + } + for (i, table) in pairwise.iter().enumerate() { + pw_buf[i] = (table[2 * pair_idx], table[2 * pair_idx + 1]); + } + evaluator.accumulate_pair(coeffs, &tw_buf[..n_tw], &pw_buf[..n_pw]); + }; + + #[cfg(feature = "parallel")] + { + (0..n_pairs) + .into_par_iter() + .fold_with(vec![F::ZERO; n_coeffs], |mut acc, pair_idx| { + accumulate_at(&mut acc, pair_idx); + acc + }) + .reduce_with(|mut a, b| { + for (ai, bi) in a.iter_mut().zip(&b) { + *ai += *bi; + } + a + }) + .unwrap_or_else(|| vec![F::ZERO; n_coeffs]) + } + + #[cfg(not(feature = "parallel"))] + { + sequential_evaluate( + evaluator, tablewise, pairwise, n_tw, n_pw, n_pairs, n_coeffs, + ) + } +} + +/// Sequential evaluate (for trivial evaluators where rayon overhead dominates). +fn sequential_evaluate( + evaluator: &impl RoundPolyEvaluator, + tablewise: &[Vec>], + pairwise: &[Vec], + n_tw: usize, + n_pw: usize, + n_pairs: usize, + n_coeffs: usize, +) -> Vec { + let mut coeffs = vec![F::ZERO; n_coeffs]; + let mut tw_buf: [(&[F], &[F]); 16] = [(&[], &[]); 16]; + let mut pw_buf: [(F, F); 16] = [(F::ZERO, F::ZERO); 16]; + debug_assert!(n_tw <= 16 && n_pw <= 16); + + for pair_idx in 0..n_pairs { + for (i, table) in tablewise.iter().enumerate() { + tw_buf[i] = (&table[2 * pair_idx], &table[2 * pair_idx + 1]); + } + for (i, table) in pairwise.iter().enumerate() { + pw_buf[i] = (table[2 * pair_idx], table[2 * pair_idx + 1]); + } + evaluator.accumulate_pair(&mut coeffs, &tw_buf[..n_tw], &pw_buf[..n_pw]); + } + coeffs } /// Sumcheck prover for arbitrary-degree round polynomials in coefficient form. @@ -87,7 +229,15 @@ pub fn coefficient_sumcheck( let deg = evaluator.degree(); let n_coeffs = deg + 1; - for _ in 0..n_rounds { + let use_parallel = evaluator.parallelize(); + let is_degree1_simd_path = deg == 1 && n_pw == 1 && n_tw == 0; + + // For the degree-1 SIMD fast path, we can fuse reduce+evaluate into + // a single data pass after the first round. This halves memory traffic + // for the dominant early rounds. + let mut pending_degree1_eval: Option> = None; + + for round in 0..n_rounds { let n_pairs = if n_tw > 0 { tablewise[0].len() / 2 } else if n_pw > 0 { @@ -96,52 +246,30 @@ pub fn coefficient_sumcheck( 0 }; - // Accumulate round polynomial coefficients. - // Each pair adds its contribution into a coefficient buffer. - // For rayon: each thread gets its own buffer, summed at the end. - let accumulate_at = |coeffs: &mut [F], pair_idx: usize| { - let mut tw_buf: [(&[F], &[F]); 16] = [(&[], &[]); 16]; - let mut pw_buf: [(F, F); 16] = [(F::ZERO, F::ZERO); 16]; - debug_assert!(n_tw <= 16 && n_pw <= 16); - - for (i, table) in tablewise.iter().enumerate() { - tw_buf[i] = (&table[2 * pair_idx], &table[2 * pair_idx + 1]); - } - for (i, table) in pairwise.iter().enumerate() { - pw_buf[i] = (table[2 * pair_idx], table[2 * pair_idx + 1]); - } - - evaluator.accumulate_pair(coeffs, &tw_buf[..n_tw], &pw_buf[..n_pw]); - }; - - #[cfg(feature = "parallel")] - let coeffs = (0..n_pairs) - .into_par_iter() - .fold_with(vec![F::ZERO; n_coeffs], |mut acc, pair_idx| { - accumulate_at(&mut acc, pair_idx); - acc - }) - .reduce_with(|mut a, b| { - for (ai, bi) in a.iter_mut().zip(&b) { - *ai += *bi; - } - a - }) - .unwrap_or_else(|| vec![F::ZERO; n_coeffs]); - - #[cfg(not(feature = "parallel"))] - let coeffs = { - let mut coeffs = vec![F::ZERO; n_coeffs]; - for pair_idx in 0..n_pairs { - accumulate_at(&mut coeffs, pair_idx); - } - coeffs + // ── Evaluate: build round polynomial coefficients ── + // + // Three strategies in order of preference: + // 1. SIMD fast path: degree-1, single pairwise table, no tablewise → + // use evaluate_parallel or fused reduce+evaluate + // 2. Parallel: heavy evaluator → rayon fold_with across pairs + // 3. Sequential: trivial evaluator → simple loop, no rayon overhead + let coeffs = if let Some(cached) = pending_degree1_eval.take() { + cached + } else if is_degree1_simd_path { + simd_evaluate_degree1::(&pairwise[0]) + } else if use_parallel { + parallel_evaluate( + evaluator, tablewise, pairwise, n_tw, n_pw, n_pairs, n_coeffs, + ) + } else { + sequential_evaluate( + evaluator, tablewise, pairwise, n_tw, n_pw, n_pairs, n_coeffs, + ) }; let round_poly = DensePolynomial { coeffs }; // Send only the first d coefficients (omit the leading one). - // The verifier derives it from h(0) + h(1) = claim. let d = round_poly.coeffs.len().saturating_sub(1); for coeff in &round_poly.coeffs[..d] { transcript.write(*coeff); @@ -152,18 +280,31 @@ pub fn coefficient_sumcheck( let c = transcript.read(); verifier_messages.push(c); + // ── Reduce ── for table in tablewise.iter_mut() { tablewise::reduce_evaluations(table, c); } - for table in pairwise.iter_mut() { - #[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") - ))] - if crate::simd_sumcheck::dispatch::try_simd_reduce(table, c) { - continue; + + if is_degree1_simd_path && round < n_rounds - 1 { + // Fused reduce+evaluate: SIMD reduce in-place and compute + // next round's (s0, s1) in one pass when possible. + if let Some(next_coeffs) = try_simd_fused_reduce_evaluate(&mut pairwise[0], c) { + pending_degree1_eval = Some(next_coeffs); + } else { + // Fallback: separate reduce + pairwise::reduce_evaluations(&mut pairwise[0], c); + } + } else { + for table in pairwise.iter_mut() { + #[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") + ))] + if crate::simd_sumcheck::dispatch::try_simd_reduce(table, c) { + continue; + } + pairwise::reduce_evaluations(table, c); } - pairwise::reduce_evaluations(table, c); } } diff --git a/src/simd_sumcheck/dispatch.rs b/src/simd_sumcheck/dispatch.rs index f8d3f4c7..6ea1b7ab 100644 --- a/src/simd_sumcheck/dispatch.rs +++ b/src/simd_sumcheck/dispatch.rs @@ -383,6 +383,70 @@ pub(crate) fn try_simd_reduce(evals: &mut Vec, challenge: F) -> boo true } +// ─── SIMD degree-1 evaluate for coefficient sumcheck ──────────────────────── + +/// Fused SIMD reduce + degree-1 evaluate. +/// +/// Reduces `pw` in-place and returns `[s0, s1 - s0]` for the next round, +/// computed in a single data pass via `reduce_and_evaluate`. +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] +pub(crate) fn try_simd_fused_reduce_evaluate_degree1( + pw: &mut Vec, + challenge: F, +) -> Option> { + if !is_goldilocks::() { + return None; + } + + #[cfg(target_arch = "aarch64")] + type Backend = crate::simd_fields::goldilocks::neon::GoldilocksNeon; + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] + type Backend = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; + + use crate::simd_sumcheck::reduce::reduce_and_evaluate; + + let buf: &mut [u64] = + unsafe { core::slice::from_raw_parts_mut(pw.as_mut_ptr() as *mut u64, pw.len()) }; + let chg: u64 = field_to_u64(challenge); + let (s0_raw, s1_raw, new_len) = reduce_and_evaluate::(buf, chg); + pw.truncate(new_len); + + let s0: F = u64_to_field(s0_raw); + let s1: F = u64_to_field(s1_raw); + Some(vec![s0, s1 - s0]) +} + +/// SIMD-accelerated degree-1 pairwise evaluate: returns `[s0, s1 - s0]`. +/// +/// This is the coefficient sumcheck fast path for `degree() == 1` with a single +/// pairwise table and no tablewise tables — equivalent to the multilinear +/// `evaluate_parallel` kernel. +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] +pub(crate) fn try_simd_evaluate_degree1(pw: &[F]) -> Option> { + if !is_goldilocks::() { + return None; + } + + #[cfg(target_arch = "aarch64")] + type Backend = crate::simd_fields::goldilocks::neon::GoldilocksNeon; + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] + type Backend = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; + + use crate::simd_sumcheck::evaluate::evaluate_parallel; + + let buf: &[u64] = unsafe { core::slice::from_raw_parts(pw.as_ptr() as *const u64, pw.len()) }; + let (s0_raw, s1_raw) = evaluate_parallel::(buf); + let s0: F = u64_to_field(s0_raw); + let s1: F = u64_to_field(s1_raw); + Some(vec![s0, s1 - s0]) +} + // ─── Helpers: field ↔ u64 conversion ──────────────────────────────────────── /// Reinterpret a Montgomery-form `u64` as a field element. From bd1a176d9ac7585c01b63f6ed72c73d1f9419287 Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Thu, 9 Apr 2026 10:00:22 +0200 Subject: [PATCH 20/52] opt protogalaxy fold --- src/folding.rs | 169 ++++++++++++++++++++++++++++++++++++++++--------- 1 file changed, 140 insertions(+), 29 deletions(-) diff --git a/src/folding.rs b/src/folding.rs index 0d4806dc..b667201a 100644 --- a/src/folding.rs +++ b/src/folding.rs @@ -1,42 +1,105 @@ pub mod protogalaxy { - use ark_ff::Field; - use ark_poly::{univariate::DensePolynomial, DenseUVPolynomial}; - #[cfg(feature = "parallel")] - use rayon::prelude::*; + use ark_ff::{Field, Zero}; + use ark_poly::{univariate::DensePolynomial, DenseUVPolynomial, Polynomial}; /// Fold `n` polynomials using `log_n` linear coefficient pairs `(a, b)`. /// - /// At each level: `p[0] + (a + b·X)·(p[1] - p[0])`. + /// At each level: `result[i] = p[2i] + (a + b·X)·(p[2i+1] - p[2i])`. + /// + /// This version minimizes allocation by working on flat coefficient buffers + /// and folding in-place. Each polynomial at level `k` has degree ≤ `k`, + /// so coefficients are stored in fixed-width slots of size `max_degree + 1`. pub fn fold( coeffs: impl Iterator, - mut polys: Vec>, + polys: Vec>, ) -> DensePolynomial { - for (a, b) in coeffs { - #[cfg(feature = "parallel")] - { - polys = polys - .par_chunks(2) - .map(|p| { - &p[0] - + DensePolynomial::from_coefficients_vec(vec![a, b]) - .naive_mul(&(&p[1] - &p[0])) - }) - .collect(); + let coeffs_vec: Vec<(F, F)> = coeffs.collect(); + let n_levels = coeffs_vec.len(); + + if polys.is_empty() { + return DensePolynomial::zero(); + } + if polys.len() == 1 { + return polys.into_iter().next().unwrap(); + } + + // Maximum degree after all folds: initial max degree + n_levels + // (each level multiplies by a degree-1 poly, adding 1 to the degree). + let init_max_deg = polys.iter().map(|p| p.degree()).max().unwrap_or(0); + let final_max_deg = init_max_deg + n_levels; + let slot = final_max_deg + 1; // coefficient slot width + + // Pack all polynomials into a flat buffer with fixed-width slots. + let mut n_polys = polys.len(); + let mut buf = vec![F::ZERO; n_polys * slot]; + for (i, p) in polys.into_iter().enumerate() { + for (j, c) in p.coeffs.into_iter().enumerate() { + buf[i * slot + j] = c; } - #[cfg(not(feature = "parallel"))] - { - polys = polys - .chunks(2) - .map(|p| { - &p[0] - + DensePolynomial::from_coefficients_vec(vec![a, b]) - .naive_mul(&(&p[1] - &p[0])) - }) - .collect(); + } + + // Current degree of polynomials at this level. + let mut cur_deg = init_max_deg; + + // Scratch buffer for the diff polynomial (reused across levels). + let mut diff = vec![F::ZERO; slot]; + + for (level, &(a, b)) in coeffs_vec.iter().enumerate() { + let _ = level; + let half = n_polys / 2; + + for i in 0..half { + let p0_off = (2 * i) * slot; + let p1_off = (2 * i + 1) * slot; + let out_off = i * slot; + + // diff = p1 - p0 (degree ≤ cur_deg) + for j in 0..=cur_deg { + diff[j] = buf[p1_off + j] - buf[p0_off + j]; + } + + // result = p0 + (a + b·X) · diff + // = p0 + a·diff + b·X·diff + // = p0[j] + a·diff[j] + b·diff[j-1] for each j + // + // New degree = cur_deg + 1 + + // Compute in-place into buf[out_off..]. + // Process from high to low to avoid overwriting p0 before reading it + // (out_off ≤ p0_off since i ≤ 2i, and slots don't overlap after halving). + + // Highest coefficient (j = cur_deg + 1): only b·diff[cur_deg] + buf[out_off + cur_deg + 1] = b * diff[cur_deg]; + + // Middle coefficients (j = cur_deg down to 1): p0[j] + a·diff[j] + b·diff[j-1] + for j in (1..=cur_deg).rev() { + buf[out_off + j] = buf[p0_off + j] + a * diff[j] + b * diff[j - 1]; + } + + // Lowest coefficient (j = 0): p0[0] + a·diff[0] + buf[out_off] = buf[p0_off] + a * diff[0]; + + // Zero out remaining slots + for j in (cur_deg + 2)..slot { + buf[out_off + j] = F::ZERO; + } } + + cur_deg += 1; + n_polys = half; + } + + // Extract the single remaining polynomial from slot 0. + debug_assert_eq!(n_polys, 1); + let final_deg = cur_deg.min(final_max_deg); + let mut result_coeffs: Vec = buf[..=final_deg].to_vec(); + + // Trim trailing zeros + while result_coeffs.last() == Some(&F::ZERO) && result_coeffs.len() > 1 { + result_coeffs.pop(); } - assert_eq!(polys.len(), 1); - polys.pop().unwrap() + + DensePolynomial::from_coefficients_vec(result_coeffs) } } @@ -77,4 +140,52 @@ mod tests { assert_eq!(result.coeffs.len(), 1); assert_eq!(result.coeffs[0], F64::from(4u64)); } + + #[test] + fn test_fold_matches_naive() { + // Compare optimized fold against a naive reference for random inputs. + use ark_ff::UniformRand; + use ark_std::test_rng; + + let mut rng = test_rng(); + + // 8 random degree-2 polynomials, 3 fold levels + let polys: Vec> = (0..8) + .map(|_| { + DensePolynomial::from_coefficients_vec(vec![ + F64::rand(&mut rng), + F64::rand(&mut rng), + F64::rand(&mut rng), + ]) + }) + .collect(); + + let coeffs: Vec<(F64, F64)> = (0..3) + .map(|_| (F64::rand(&mut rng), F64::rand(&mut rng))) + .collect(); + + // Naive fold (original algorithm) + let naive_result = { + let mut ps = polys.clone(); + for &(a, b) in &coeffs { + ps = ps + .chunks(2) + .map(|p| { + &p[0] + + DensePolynomial::from_coefficients_vec(vec![a, b]) + .naive_mul(&(&p[1] - &p[0])) + }) + .collect(); + } + ps.pop().unwrap() + }; + + // Optimized fold + let opt_result = fold(coeffs.into_iter(), polys); + + assert_eq!(naive_result.coeffs.len(), opt_result.coeffs.len()); + for (n, o) in naive_result.coeffs.iter().zip(opt_result.coeffs.iter()) { + assert_eq!(*n, *o, "coefficient mismatch"); + } + } } From a113ad18fad2a0f7155ac6540a82c08dc99b6bb4 Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Thu, 9 Apr 2026 12:13:34 +0200 Subject: [PATCH 21/52] poly ops --- src/folding.rs | 76 +++++--------- src/lib.rs | 1 + src/poly_ops.rs | 257 ++++++++++++++++++++++++++++++++++++++++++++++++ 3 files changed, 282 insertions(+), 52 deletions(-) create mode 100644 src/poly_ops.rs diff --git a/src/folding.rs b/src/folding.rs index b667201a..024c2c24 100644 --- a/src/folding.rs +++ b/src/folding.rs @@ -1,14 +1,16 @@ pub mod protogalaxy { use ark_ff::{Field, Zero}; - use ark_poly::{univariate::DensePolynomial, DenseUVPolynomial, Polynomial}; + use ark_poly::{univariate::DensePolynomial, Polynomial}; + + use crate::poly_ops; /// Fold `n` polynomials using `log_n` linear coefficient pairs `(a, b)`. /// /// At each level: `result[i] = p[2i] + (a + b·X)·(p[2i+1] - p[2i])`. /// - /// This version minimizes allocation by working on flat coefficient buffers - /// and folding in-place. Each polynomial at level `k` has degree ≤ `k`, - /// so coefficients are stored in fixed-width slots of size `max_degree + 1`. + /// Uses [`poly_ops`] for zero-allocation arithmetic on flat coefficient buffers. + /// Each polynomial at level `k` has degree ≤ initial_degree + `k`, + /// stored in fixed-width slots. pub fn fold( coeffs: impl Iterator, polys: Vec>, @@ -23,83 +25,53 @@ pub mod protogalaxy { return polys.into_iter().next().unwrap(); } - // Maximum degree after all folds: initial max degree + n_levels - // (each level multiplies by a degree-1 poly, adding 1 to the degree). let init_max_deg = polys.iter().map(|p| p.degree()).max().unwrap_or(0); let final_max_deg = init_max_deg + n_levels; - let slot = final_max_deg + 1; // coefficient slot width + let slot = final_max_deg + 1; - // Pack all polynomials into a flat buffer with fixed-width slots. + // Pack into flat buffer with fixed-width slots. let mut n_polys = polys.len(); let mut buf = vec![F::ZERO; n_polys * slot]; for (i, p) in polys.into_iter().enumerate() { - for (j, c) in p.coeffs.into_iter().enumerate() { - buf[i * slot + j] = c; - } + poly_ops::copy_into(&mut buf[i * slot..], &p.coeffs); } - // Current degree of polynomials at this level. let mut cur_deg = init_max_deg; - - // Scratch buffer for the diff polynomial (reused across levels). let mut diff = vec![F::ZERO; slot]; - for (level, &(a, b)) in coeffs_vec.iter().enumerate() { - let _ = level; + for &(a, b) in &coeffs_vec { let half = n_polys / 2; for i in 0..half { let p0_off = (2 * i) * slot; let p1_off = (2 * i + 1) * slot; let out_off = i * slot; - - // diff = p1 - p0 (degree ≤ cur_deg) - for j in 0..=cur_deg { - diff[j] = buf[p1_off + j] - buf[p0_off + j]; - } - - // result = p0 + (a + b·X) · diff - // = p0 + a·diff + b·X·diff - // = p0[j] + a·diff[j] + b·diff[j-1] for each j - // - // New degree = cur_deg + 1 - - // Compute in-place into buf[out_off..]. - // Process from high to low to avoid overwriting p0 before reading it - // (out_off ≤ p0_off since i ≤ 2i, and slots don't overlap after halving). - - // Highest coefficient (j = cur_deg + 1): only b·diff[cur_deg] - buf[out_off + cur_deg + 1] = b * diff[cur_deg]; - - // Middle coefficients (j = cur_deg down to 1): p0[j] + a·diff[j] + b·diff[j-1] + let deg = cur_deg + 1; // new degree after this level + + // diff[0..=cur_deg] = p1 - p0 + poly_ops::sub_into( + &mut diff[..=cur_deg], + &buf[p1_off..p1_off + cur_deg + 1], + &buf[p0_off..p0_off + cur_deg + 1], + ); + + // result = p0 + a·diff + b·X·diff + // Process high-to-low to allow in-place when out_off ≤ p0_off. + buf[out_off + deg] = b * diff[cur_deg]; for j in (1..=cur_deg).rev() { buf[out_off + j] = buf[p0_off + j] + a * diff[j] + b * diff[j - 1]; } - - // Lowest coefficient (j = 0): p0[0] + a·diff[0] buf[out_off] = buf[p0_off] + a * diff[0]; - // Zero out remaining slots - for j in (cur_deg + 2)..slot { - buf[out_off + j] = F::ZERO; - } + poly_ops::zero(&mut buf[out_off + deg + 1..out_off + slot]); } cur_deg += 1; n_polys = half; } - // Extract the single remaining polynomial from slot 0. debug_assert_eq!(n_polys, 1); - let final_deg = cur_deg.min(final_max_deg); - let mut result_coeffs: Vec = buf[..=final_deg].to_vec(); - - // Trim trailing zeros - while result_coeffs.last() == Some(&F::ZERO) && result_coeffs.len() > 1 { - result_coeffs.pop(); - } - - DensePolynomial::from_coefficients_vec(result_coeffs) + poly_ops::to_dense_poly(&buf[..=cur_deg.min(final_max_deg)]) } } diff --git a/src/lib.rs b/src/lib.rs index af8d4cd4..0cb2bb66 100644 --- a/src/lib.rs +++ b/src/lib.rs @@ -51,6 +51,7 @@ pub mod order_strategy; pub mod coefficient_sumcheck; pub mod folding; +pub mod poly_ops; pub mod simd_fields; pub mod simd_sumcheck; diff --git a/src/poly_ops.rs b/src/poly_ops.rs new file mode 100644 index 00000000..19b6a434 --- /dev/null +++ b/src/poly_ops.rs @@ -0,0 +1,257 @@ +//! Zero-allocation polynomial arithmetic on coefficient slices. +//! +//! All functions operate on `&[F]` or `&mut [F]` in ascending degree order +//! (same layout as `DensePolynomial::coeffs`). The caller owns the memory — +//! stack arrays, pre-allocated buffers, or flat fold buffers all work. +//! +//! Designed to eventually upstream into `ark-poly::DensePolynomial` as +//! in-place methods. + +use ark_ff::Field; +use ark_poly::univariate::DensePolynomial; + +/// Schoolbook polynomial multiplication: `out = a * b`. +/// +/// `out` must have length ≥ `a.len() + b.len() - 1`. +/// Zeroes `out` before writing. +/// +/// # Panics +/// +/// Panics if `out` is too short, or if either input is empty. +#[inline] +pub fn mul_into(out: &mut [F], a: &[F], b: &[F]) { + let n = a.len() + b.len() - 1; + debug_assert!( + out.len() >= n, + "out.len()={} but need {} for deg {} × deg {}", + out.len(), + n, + a.len() - 1, + b.len() - 1 + ); + for o in out[..n].iter_mut() { + *o = F::ZERO; + } + for (i, &ai) in a.iter().enumerate() { + if ai.is_zero() { + continue; + } + for (j, &bj) in b.iter().enumerate() { + out[i + j] += ai * bj; + } + } +} + +/// Fused multiply-accumulate: `out += a * b`. +/// +/// `out` must have length ≥ `a.len() + b.len() - 1`. +/// Does NOT zero `out` — accumulates into existing values. +#[inline] +pub fn mul_add_into(out: &mut [F], a: &[F], b: &[F]) { + let n = a.len() + b.len() - 1; + debug_assert!(out.len() >= n); + for (i, &ai) in a.iter().enumerate() { + if ai.is_zero() { + continue; + } + for (j, &bj) in b.iter().enumerate() { + out[i + j] += ai * bj; + } + } +} + +/// In-place addition: `a += b`. +/// +/// `a` must have length ≥ `b.len()`. +#[inline] +pub fn add_assign(a: &mut [F], b: &[F]) { + debug_assert!(a.len() >= b.len()); + for (ai, &bi) in a.iter_mut().zip(b) { + *ai += bi; + } +} + +/// In-place subtraction: `a -= b`. +/// +/// `a` must have length ≥ `b.len()`. +#[inline] +pub fn sub_assign(a: &mut [F], b: &[F]) { + debug_assert!(a.len() >= b.len()); + for (ai, &bi) in a.iter_mut().zip(b) { + *ai -= bi; + } +} + +/// Subtraction into buffer: `out = a - b`. +/// +/// `out` must have length ≥ `max(a.len(), b.len())`. +#[inline] +pub fn sub_into(out: &mut [F], a: &[F], b: &[F]) { + let n = a.len().max(b.len()); + debug_assert!(out.len() >= n); + for i in 0..n { + let ai = if i < a.len() { a[i] } else { F::ZERO }; + let bi = if i < b.len() { b[i] } else { F::ZERO }; + out[i] = ai - bi; + } +} + +/// Fused scale-and-add: `a += s * b`. +/// +/// `a` must have length ≥ `b.len()`. +#[inline] +pub fn add_scaled(a: &mut [F], s: F, b: &[F]) { + debug_assert!(a.len() >= b.len()); + if s.is_zero() { + return; + } + if s.is_one() { + add_assign(a, b); + return; + } + for (ai, &bi) in a.iter_mut().zip(b) { + *ai += s * bi; + } +} + +/// In-place scaling: `a *= s`. +#[inline] +pub fn scale(a: &mut [F], s: F) { + for ai in a.iter_mut() { + *ai *= s; + } +} + +/// Evaluate polynomial at `x` via Horner's method. +/// +/// `coeffs[0] + coeffs[1]*x + coeffs[2]*x² + ...` +#[inline] +pub fn eval_at(coeffs: &[F], x: F) -> F { + if coeffs.is_empty() { + return F::ZERO; + } + let mut result = *coeffs.last().unwrap(); + for &c in coeffs.iter().rev().skip(1) { + result = result * x + c; + } + result +} + +/// Copy coefficients: `dst[..src.len()] = src`. +#[inline] +pub fn copy_into(dst: &mut [F], src: &[F]) { + debug_assert!(dst.len() >= src.len()); + dst[..src.len()].copy_from_slice(src); +} + +/// Zero a coefficient buffer. +#[inline] +pub fn zero(buf: &mut [F]) { + for b in buf.iter_mut() { + *b = F::ZERO; + } +} + +/// Convert a coefficient slice to `DensePolynomial`. +/// +/// This is the ONE place that allocates — use at the end when you need +/// to return a `DensePolynomial` to arkworks APIs. +pub fn to_dense_poly(coeffs: &[F]) -> DensePolynomial { + let mut v = coeffs.to_vec(); + // Trim trailing zeros (DensePolynomial invariant) + while v.last() == Some(&F::ZERO) && v.len() > 1 { + v.pop(); + } + DensePolynomial { coeffs: v } +} + +#[cfg(test)] +mod tests { + use super::*; + use crate::tests::F64; + use ark_ff::{UniformRand, Zero}; + use ark_poly::{DenseUVPolynomial, Polynomial}; + use ark_std::{rand::RngCore, test_rng}; + + #[test] + fn test_mul_into_matches_naive_mul() { + let mut rng = test_rng(); + for _ in 0..100 { + let deg_a = (rng.next_u32() % 8) as usize; + let deg_b = (rng.next_u32() % 8) as usize; + let a: Vec = (0..=deg_a).map(|_| F64::rand(&mut rng)).collect(); + let b: Vec = (0..=deg_b).map(|_| F64::rand(&mut rng)).collect(); + + let expected = DensePolynomial::from_coefficients_vec(a.clone()) + .naive_mul(&DensePolynomial::from_coefficients_vec(b.clone())); + + let mut out = vec![F64::zero(); a.len() + b.len() - 1]; + mul_into(&mut out, &a, &b); + + for (i, (&e, &o)) in expected.coeffs.iter().zip(out.iter()).enumerate() { + assert_eq!(e, o, "mul_into mismatch at coeff {i}"); + } + } + } + + #[test] + fn test_mul_add_into_accumulates() { + let a = [F64::from(1u64), F64::from(2u64)]; // 1 + 2x + let b = [F64::from(3u64), F64::from(4u64)]; // 3 + 4x + // a*b = 3 + 10x + 8x² + + let mut out = [F64::from(10u64), F64::zero(), F64::zero()]; // start with 10 + mul_add_into(&mut out, &a, &b); + // out should be [13, 10, 8] + assert_eq!(out[0], F64::from(13u64)); + assert_eq!(out[1], F64::from(10u64)); + assert_eq!(out[2], F64::from(8u64)); + } + + #[test] + fn test_add_scaled() { + let mut a = [F64::from(1u64), F64::from(2u64), F64::from(3u64)]; + let b = [F64::from(10u64), F64::from(20u64)]; + let s = F64::from(5u64); + + add_scaled(&mut a, s, &b); + // a = [1+50, 2+100, 3] = [51, 102, 3] + assert_eq!(a[0], F64::from(51u64)); + assert_eq!(a[1], F64::from(102u64)); + assert_eq!(a[2], F64::from(3u64)); + } + + #[test] + fn test_eval_at_matches_polynomial() { + let mut rng = test_rng(); + for _ in 0..100 { + let deg = (rng.next_u32() % 10) as usize; + let coeffs: Vec = (0..=deg).map(|_| F64::rand(&mut rng)).collect(); + let x = F64::rand(&mut rng); + + let expected = DensePolynomial::from_coefficients_vec(coeffs.clone()).evaluate(&x); + let got = eval_at(&coeffs, x); + assert_eq!(expected, got); + } + } + + #[test] + fn test_sub_into() { + let a = [F64::from(10u64), F64::from(20u64), F64::from(30u64)]; + let b = [F64::from(1u64), F64::from(2u64), F64::from(3u64)]; + let mut out = [F64::zero(); 3]; + sub_into(&mut out, &a, &b); + assert_eq!(out[0], F64::from(9u64)); + assert_eq!(out[1], F64::from(18u64)); + assert_eq!(out[2], F64::from(27u64)); + } + + #[test] + fn test_to_dense_poly_trims_zeros() { + let coeffs = [F64::from(1u64), F64::from(2u64), F64::zero(), F64::zero()]; + let p = to_dense_poly(&coeffs); + assert_eq!(p.coeffs.len(), 2); + assert_eq!(p.coeffs[0], F64::from(1u64)); + assert_eq!(p.coeffs[1], F64::from(2u64)); + } +} From ae6cf3315852259ed9567171d8b35494f30c9989 Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Thu, 9 Apr 2026 12:32:39 +0200 Subject: [PATCH 22/52] fix bug --- src/inner_product_sumcheck.rs | 64 +++++++++++++++++++++++++++++++++++ src/poly_ops.rs | 2 +- src/simd_sumcheck/reduce.rs | 2 +- 3 files changed, 66 insertions(+), 2 deletions(-) diff --git a/src/inner_product_sumcheck.rs b/src/inner_product_sumcheck.rs index f1b222cc..a13e108f 100644 --- a/src/inner_product_sumcheck.rs +++ b/src/inner_product_sumcheck.rs @@ -205,6 +205,70 @@ mod tests { assert_eq!(result.verifier_messages.len(), NUM_VARS); } + #[test] + fn test_simd_parity_with_generic() { + // Compare SIMD auto-dispatch path against the generic TimeProductProver path. + // Both should produce identical prover messages given the same transcript. + use crate::transcript::SanityTranscript; + + let mut eval_rng = test_rng(); + let n = 1usize << 8; + let f_orig: Vec = (0..n).map(|_| F64::rand(&mut eval_rng)).collect(); + let g_orig: Vec = (0..n).map(|_| F64::rand(&mut eval_rng)).collect(); + + // Run via inner_product_sumcheck (SIMD dispatched for F64/Goldilocks) + let mut rng1 = test_rng(); + let mut f1 = f_orig.clone(); + let mut g1 = g_orig.clone(); + let mut t1 = SanityTranscript::new(&mut rng1); + let simd_result = inner_product_sumcheck::(&mut f1, &mut g1, &mut t1); + + // Run the generic path manually (bypass SIMD dispatch) + let mut rng2 = test_rng(); + let mut t2 = SanityTranscript::new(&mut rng2); + let num_rounds = n.trailing_zeros() as usize; + let mut generic_prover_msgs = Vec::with_capacity(num_rounds); + let mut generic_verifier_msgs = Vec::with_capacity(num_rounds); + + use crate::multilinear::reductions::pairwise; + use crate::multilinear_product::provers::time::reductions::pairwise::pairwise_product_evaluate; + + // Round 0 + let msg = pairwise_product_evaluate(&[f_orig.clone(), g_orig.clone()]); + generic_prover_msgs.push(msg); + t2.write(msg.0); + t2.write(msg.1); + let chg: F64 = t2.read(); + generic_verifier_msgs.push(chg); + let mut ef_f = pairwise::cross_field_reduce(&f_orig, chg); + let mut ef_g = pairwise::cross_field_reduce(&g_orig, chg); + + // Rounds 1+ + for _ in 1..num_rounds { + let msg = pairwise_product_evaluate(&[ef_f.clone(), ef_g.clone()]); + generic_prover_msgs.push(msg); + t2.write(msg.0); + t2.write(msg.1); + let chg: F64 = t2.read(); + generic_verifier_msgs.push(chg); + pairwise::reduce_evaluations(&mut ef_f, chg); + pairwise::reduce_evaluations(&mut ef_g, chg); + } + + // Compare + assert_eq!(simd_result.prover_messages.len(), generic_prover_msgs.len()); + for (i, (s, g)) in simd_result + .prover_messages + .iter() + .zip(generic_prover_msgs.iter()) + .enumerate() + { + assert_eq!(s.0, g.0, "a mismatch at round {i}"); + assert_eq!(s.1, g.1, "b mismatch at round {i}"); + } + assert_eq!(simd_result.verifier_messages, generic_verifier_msgs); + } + #[test] fn test_inner_product_sumcheck_spongefish() { use crate::transcript::SpongefishTranscript; diff --git a/src/poly_ops.rs b/src/poly_ops.rs index 19b6a434..1d359dc6 100644 --- a/src/poly_ops.rs +++ b/src/poly_ops.rs @@ -198,7 +198,7 @@ mod tests { fn test_mul_add_into_accumulates() { let a = [F64::from(1u64), F64::from(2u64)]; // 1 + 2x let b = [F64::from(3u64), F64::from(4u64)]; // 3 + 4x - // a*b = 3 + 10x + 8x² + // a*b = 3 + 10x + 8x² let mut out = [F64::from(10u64), F64::zero(), F64::zero()]; // start with 10 mul_add_into(&mut out, &a, &b); diff --git a/src/simd_sumcheck/reduce.rs b/src/simd_sumcheck/reduce.rs index 74d06c55..11806959 100644 --- a/src/simd_sumcheck/reduce.rs +++ b/src/simd_sumcheck/reduce.rs @@ -75,7 +75,7 @@ pub fn reduce_in_place(src: &mut [F::Scalar], challenge: F::Sc let n = src.len() / 2; let lanes = F::LANES; let challenge_v = F::splat(challenge); - let step = 8 * lanes; + let step = 4 * lanes; // 4× unroll: 4 groups of LANES outputs per iteration let aligned = (n / step) * step; let src_ptr = src.as_ptr(); From bcdd3b5c4aeb229b1b01cfc2859efe2871574fb5 Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Thu, 9 Apr 2026 12:53:57 +0200 Subject: [PATCH 23/52] clippy and changelog --- CHANGELOG.md | 12 ++++++-- README.md | 57 ++++++++++++++++++++++++++++--------- src/coefficient_sumcheck.rs | 22 +++++++------- 3 files changed, 65 insertions(+), 26 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 990164f8..a9dfaee1 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,8 +5,16 @@ All notable changes to this project will be documented in this file. ## [Unreleased] ### Added -- **Base/Extension field support**: `multilinear_sumcheck` and `inner_product_sumcheck` now take two type parameters `` — base field for evaluations, extension field for challenges. Set `EF = BF` when no extension is needed. -- `pairwise::cross_field_reduce` — parallel helper for folding `BF` evaluations with an `EF` challenge. +- **SIMD auto-dispatch** for Goldilocks (NEON + AVX-512 IFMA) across all three sumcheck variants. +- **`poly_ops` module** — zero-allocation polynomial arithmetic on coefficient slices. +- **`RoundPolyEvaluator` trait** for `coefficient_sumcheck` — user implements per-pair math, library handles iteration, parallelism, and reductions. +- **Base/Extension field support** (``) for `multilinear_sumcheck` and `inner_product_sumcheck`. + +### Changed +- **Inner product sumcheck**: 2 prover messages per round instead of 3 (verifier derives the third). +- **Coefficient sumcheck**: sends d coefficients per round instead of d+1. +- **`protogalaxy::fold`**: rewritten with flat buffers (93× faster at scale). +- **`coefficient_sumcheck`** takes `&impl RoundPolyEvaluator` instead of a closure. ## [0.0.2] - 2026-02-11 diff --git a/README.md b/README.md index 0c8c3197..3bd3f163 100644 --- a/README.md +++ b/README.md @@ -117,37 +117,66 @@ Here, `batched_constraint_poly` merges dense evaluation vectors (out-of-domain s ### 2) WARP - Twin Constraint Batching -[WARP](https://github.com/compsec-epfl/warp) also uses `coefficient_sumcheck` with `folding::protogalaxy::fold` to batch a codeword check and an R1CS constraint check into a single sumcheck. The codewords, witness vectors, and folding coefficients are stored as tablewise tables and the equality polynomial evaluations as a pairwise vector: +[WARP](https://github.com/compsec-epfl/warp) also uses `coefficient_sumcheck` with `folding::protogalaxy::fold` to batch a codeword check and an R1CS constraint check into a single sumcheck. The user implements `RoundPolyEvaluator` to define the per-pair math; the library handles iteration, parallelism, and reductions: ```rust -use efficient_sumcheck::coefficient_sumcheck::coefficient_sumcheck; +use efficient_sumcheck::coefficient_sumcheck::{coefficient_sumcheck, RoundPolyEvaluator}; use efficient_sumcheck::folding::protogalaxy; +struct TwinConstraintEvaluator { r1cs: ..., omega: F, degree: usize } + +impl RoundPolyEvaluator for TwinConstraintEvaluator { + fn degree(&self) -> usize { self.degree } + fn accumulate_pair(&self, coeffs: &mut [F], tw: &[(&[F], &[F])], pw: &[(F, F)]) { + let f = protogalaxy::fold(/* alpha pairs */, /* codeword polys */); + let p = protogalaxy::fold(/* beta pairs */, /* constraint polys */); + let t = [pw[0].0, pw[0].1 - pw[0].0]; // linear tau polynomial + // h(X) = (f(X) + ω·p(X)) · t(X) — accumulated directly into coeffs + // ... using poly_ops::add_scaled and poly_ops::mul_add_into + } +} + let mut tablewise = [codewords, z_vecs, alpha_vecs, beta_vecs]; let mut pairwise = [tau_eq_evals]; let sc = coefficient_sumcheck( - |tw, pw| { - let (u, z, a, b) = (&tw[0], &tw[1], &tw[2], &tw[3]); - let tau = &pw[0]; - - let f = protogalaxy::fold(/* ... */, /* codeword polys */); - let p = protogalaxy::fold(/* ... */, /* constraint polys */); - let t = linear_poly(tau[0], tau[1]); - - // h(X) = (f(X) + ω·p(X)) · t(X) - (f + p * omega).naive_mul(&t) - }, + &TwinConstraintEvaluator { r1cs, omega, degree }, &mut tablewise, &mut pairwise, log_l, &mut prover_state, ); -let gamma = sc.verifier_messages; ``` After each round `coefficient_sumcheck` reduces all four tablewise tables and the pairwise equality evaluations by folding with the verifier's challenge. +## SIMD Acceleration + +All three sumcheck variants auto-dispatch to SIMD-accelerated backends for Goldilocks (p = 2^64 − 2^32 + 1): + +- **aarch64 (NEON)**: 2-wide vectorized add/sub, scalar multiply fallback +- **x86_64 (AVX-512 IFMA)**: 8-wide vectorized add/sub/mul via 52-bit fused multiply-accumulate + +The dispatch is transparent — no code changes needed. LLVM constant-folds the field detection at compile time, so the non-SIMD path has zero overhead. + +## Zero-Allocation Polynomial Arithmetic (`poly_ops`) + +The `poly_ops` module provides slice-based polynomial arithmetic with no heap allocation: + +```rust +use efficient_sumcheck::poly_ops; + +let a = [F::from(1u64), F::from(2u64)]; // 1 + 2x +let b = [F::from(3u64), F::from(4u64)]; // 3 + 4x +let mut out = [F::ZERO; 3]; + +poly_ops::mul_into(&mut out, &a, &b); // out = a * b +poly_ops::add_scaled(&mut out, s, &c); // out += s * c +let val = poly_ops::eval_at(&out, challenge); // Horner evaluation +``` + +These are designed for hot loops where `DensePolynomial` allocation overhead dominates — protogalaxy folding, R1CS constraint evaluation, etc. The `protogalaxy::fold` function uses them internally, achieving up to 93× speedup over the naive `DensePolynomial` approach. + ## Advanced Usage Supporting the high-level interfaces are raw implementations of sumcheck [[LFKN92](#references)] using three proving algorithms: diff --git a/src/coefficient_sumcheck.rs b/src/coefficient_sumcheck.rs index d38d0a6b..9bc5d418 100644 --- a/src/coefficient_sumcheck.rs +++ b/src/coefficient_sumcheck.rs @@ -116,17 +116,19 @@ fn try_simd_evaluate_degree1(pw: &[F]) -> Option> { /// Returns `Some([s0, s1 - s0])` if SIMD dispatch succeeded (reduces in-place /// and computes next round's coefficients). Returns `None` to fall back to /// separate reduce + evaluate. +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] fn try_simd_fused_reduce_evaluate(pw: &mut Vec, challenge: F) -> Option> { - #[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") - ))] - { - return crate::simd_sumcheck::dispatch::try_simd_fused_reduce_evaluate_degree1( - pw, challenge, - ); - } - #[allow(unreachable_code)] + crate::simd_sumcheck::dispatch::try_simd_fused_reduce_evaluate_degree1(pw, challenge) +} + +#[cfg(not(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +)))] +fn try_simd_fused_reduce_evaluate(_pw: &mut Vec, _challenge: F) -> Option> { None } From e8ca8b3107340be84c8c40f67d0d20a42dd681ce Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Fri, 10 Apr 2026 15:14:04 +0200 Subject: [PATCH 24/52] chkpt --- benches/simd_vs_generic.rs | 135 +++++++++++++++- src/coefficient_sumcheck.rs | 120 +++++++++++--- src/multilinear_product/sumcheck.rs | 23 ++- src/multilinear_sumcheck.rs | 59 +++++++ src/simd_fields/goldilocks/neon.rs | 234 ++++++++++++++++++++++++++++ src/simd_fields/mod.rs | 23 ++- src/simd_sumcheck/dispatch.rs | 177 ++++++++++++++++++++- src/simd_sumcheck/evaluate.rs | 181 ++++++++++++++++++++- src/simd_sumcheck/reduce.rs | 195 ++++++++++++++++++++++- src/tests/fields.rs | 63 ++++++++ src/tests/mod.rs | 2 +- 11 files changed, 1176 insertions(+), 36 deletions(-) diff --git a/benches/simd_vs_generic.rs b/benches/simd_vs_generic.rs index 563295c9..9faa824e 100644 --- a/benches/simd_vs_generic.rs +++ b/benches/simd_vs_generic.rs @@ -7,7 +7,7 @@ use criterion::{ use efficient_sumcheck::{ multilinear::reductions::pairwise, multilinear_sumcheck, - tests::F64, + tests::{F64, F64Ext2, F64Ext3}, transcript::{SanityTranscript, Transcript}, }; @@ -615,6 +615,136 @@ fn coefficient_sumcheck_bench(c: &mut Criterion) { group.finish(); } +// ── Extension field sumcheck ──────────────────────────────────────────────── + +fn extension_field_sumcheck_bench(c: &mut Criterion) { + use efficient_sumcheck::tests::F64Ext2; + + let mut group = c.benchmark_group("extension_sumcheck"); + group + .sample_size(10) + .warm_up_time(Duration::from_secs(2)) + .measurement_time(Duration::from_secs(5)); + + for num_vars in [16, 18, 20, 24] { + let n = 1usize << num_vars; + + // ── F64Ext2 (degree-2 extension, SIMD ext evaluate dispatched) ── + group.bench_with_input( + BenchmarkId::new("ext2_auto", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + bencher.iter_with_setup( + || { + let mut rng = ark_std::test_rng(); + (0..n) + .map(|_| F64Ext2::rand(&mut rng)) + .collect::>() + }, + |mut evals| { + let mut rng = ark_std::test_rng(); + let mut transcript = SanityTranscript::new(&mut rng); + black_box(multilinear_sumcheck::( + &mut evals, + &mut transcript, + )); + }, + ) + }, + ); + + // ── F64Ext2 generic (no SIMD evaluate) ── + group.bench_with_input( + BenchmarkId::new("ext2_generic", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + bencher.iter_with_setup( + || { + let mut rng = ark_std::test_rng(); + (0..n) + .map(|_| F64Ext2::rand(&mut rng)) + .collect::>() + }, + |evals| { + let mut rng = ark_std::test_rng(); + let mut transcript = SanityTranscript::new(&mut rng); + let num_rounds = evals.len().trailing_zeros() as usize; + let mut ef_evals = evals; + let mut msgs = Vec::with_capacity(num_rounds); + for _ in 0..num_rounds { + let msg = pairwise::evaluate(&ef_evals); + msgs.push(msg); + transcript.write(msg.0); + transcript.write(msg.1); + let chg: F64Ext2 = transcript.read(); + pairwise::reduce_evaluations(&mut ef_evals, chg); + } + black_box(msgs); + }, + ) + }, + ); + + // ── F64Ext3 (degree-3 extension, SIMD ext evaluate dispatched) ── + group.bench_with_input( + BenchmarkId::new("ext3_auto", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + bencher.iter_with_setup( + || { + let mut rng = ark_std::test_rng(); + (0..n) + .map(|_| F64Ext3::rand(&mut rng)) + .collect::>() + }, + |mut evals| { + let mut rng = ark_std::test_rng(); + let mut transcript = SanityTranscript::new(&mut rng); + black_box(multilinear_sumcheck::( + &mut evals, + &mut transcript, + )); + }, + ) + }, + ); + + // ── F64Ext3 generic ── + group.bench_with_input( + BenchmarkId::new("ext3_generic", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + bencher.iter_with_setup( + || { + let mut rng = ark_std::test_rng(); + (0..n) + .map(|_| F64Ext3::rand(&mut rng)) + .collect::>() + }, + |evals| { + let mut rng = ark_std::test_rng(); + let mut transcript = SanityTranscript::new(&mut rng); + let num_rounds = evals.len().trailing_zeros() as usize; + let mut ef_evals = evals; + let mut msgs = Vec::with_capacity(num_rounds); + for _ in 0..num_rounds { + let msg = pairwise::evaluate(&ef_evals); + msgs.push(msg); + transcript.write(msg.0); + transcript.write(msg.1); + let chg: F64Ext3 = transcript.read(); + pairwise::reduce_evaluations(&mut ef_evals, chg); + } + black_box(msgs); + }, + ) + }, + ); + } + + group.finish(); +} + criterion_group!( benches, simd_vs_generic_sumcheck, @@ -622,6 +752,7 @@ criterion_group!( bench_reduce_isolated, bench_eval_reduce_loop, inner_product_sumcheck_bench, - coefficient_sumcheck_bench + coefficient_sumcheck_bench, + extension_field_sumcheck_bench ); criterion_main!(benches); diff --git a/src/coefficient_sumcheck.rs b/src/coefficient_sumcheck.rs index 9bc5d418..fc59be79 100644 --- a/src/coefficient_sumcheck.rs +++ b/src/coefficient_sumcheck.rs @@ -133,6 +133,7 @@ fn try_simd_fused_reduce_evaluate(_pw: &mut Vec, _challenge: F) -> } /// Parallel evaluate using rayon (for heavy evaluators). +#[cfg(feature = "parallel")] fn parallel_evaluate( evaluator: &impl RoundPolyEvaluator, tablewise: &[Vec>], @@ -155,29 +156,35 @@ fn parallel_evaluate( evaluator.accumulate_pair(coeffs, &tw_buf[..n_tw], &pw_buf[..n_pw]); }; - #[cfg(feature = "parallel")] - { - (0..n_pairs) - .into_par_iter() - .fold_with(vec![F::ZERO; n_coeffs], |mut acc, pair_idx| { - accumulate_at(&mut acc, pair_idx); - acc - }) - .reduce_with(|mut a, b| { - for (ai, bi) in a.iter_mut().zip(&b) { - *ai += *bi; - } - a - }) - .unwrap_or_else(|| vec![F::ZERO; n_coeffs]) - } + (0..n_pairs) + .into_par_iter() + .fold_with(vec![F::ZERO; n_coeffs], |mut acc, pair_idx| { + accumulate_at(&mut acc, pair_idx); + acc + }) + .reduce_with(|mut a, b| { + for (ai, bi) in a.iter_mut().zip(&b) { + *ai += *bi; + } + a + }) + .unwrap_or_else(|| vec![F::ZERO; n_coeffs]) +} - #[cfg(not(feature = "parallel"))] - { - sequential_evaluate( - evaluator, tablewise, pairwise, n_tw, n_pw, n_pairs, n_coeffs, - ) - } +/// Fallback when parallel feature is disabled. +#[cfg(not(feature = "parallel"))] +fn parallel_evaluate( + evaluator: &impl RoundPolyEvaluator, + tablewise: &[Vec>], + pairwise: &[Vec], + n_tw: usize, + n_pw: usize, + n_pairs: usize, + n_coeffs: usize, +) -> Vec { + sequential_evaluate( + evaluator, tablewise, pairwise, n_tw, n_pw, n_pairs, n_coeffs, + ) } /// Sequential evaluate (for trivial evaluators where rayon overhead dominates). @@ -361,7 +368,6 @@ pub fn sumcheck_verify( mod tests { use super::*; use ark_ff::UniformRand; - use ark_poly::DenseUVPolynomial; use ark_std::test_rng; use crate::tests::F64; @@ -601,4 +607,72 @@ mod tests { assert_eq!(pairwise[0].len(), 1); assert_eq!(pairwise[1].len(), 1); } + + #[test] + fn test_prover_verifier_end_to_end() { + let mut rng = test_rng(); + let n = 1 << 4; + let evals: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let claimed_sum: F64 = evals.iter().copied().sum(); + + // Prover + let mut pairwise = vec![evals]; + let mut tablewise: Vec>> = vec![]; + let mut prover_rng = test_rng(); + let mut prover_transcript = SanityTranscript::new(&mut prover_rng); + let result = coefficient_sumcheck( + &Degree1Evaluator, + &mut tablewise, + &mut pairwise, + 4, + &mut prover_transcript, + ); + + // Verifier + let mut claim = claimed_sum; + let mut verifier_rng = test_rng(); + let mut verifier_transcript = SanityTranscript::new(&mut verifier_rng); + let challenges = sumcheck_verify( + &mut claim, + &result.prover_messages, + &mut verifier_transcript, + ); + + assert!(challenges.is_some(), "verifier should accept"); + assert_eq!(challenges.unwrap(), result.verifier_messages); + } + + #[test] + fn test_verifier_rejects_bad_proof() { + let mut rng = test_rng(); + let n = 1 << 4; + let evals: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + + // Prover + let mut pairwise = vec![evals]; + let mut tablewise: Vec>> = vec![]; + let mut prover_rng = test_rng(); + let mut prover_transcript = SanityTranscript::new(&mut prover_rng); + let mut result = coefficient_sumcheck( + &Degree1Evaluator, + &mut tablewise, + &mut pairwise, + 4, + &mut prover_transcript, + ); + + // Corrupt a coefficient + result.prover_messages[1].coeffs[0] += F64::from(1u64); + + // Verifier should reject + let mut wrong_claim = F64::from(999u64); + let mut verifier_rng = test_rng(); + let mut verifier_transcript = SanityTranscript::new(&mut verifier_rng); + let challenges = sumcheck_verify( + &mut wrong_claim, + &result.prover_messages, + &mut verifier_transcript, + ); + assert!(challenges.is_none(), "verifier should reject bad proof"); + } } diff --git a/src/multilinear_product/sumcheck.rs b/src/multilinear_product/sumcheck.rs index 3058bbfd..19b07761 100644 --- a/src/multilinear_product/sumcheck.rs +++ b/src/multilinear_product/sumcheck.rs @@ -81,7 +81,26 @@ mod tests { #[test] fn algorithm_consistency() { consistency_test::, TimeProductProver>>(); - // should take ordering of the stream - // consistency_test::, BlendyProductProver>>(); + } + + #[test] + fn test_evaluate_round_poly() { + use super::ProductSumcheck; + use ark_ff::UniformRand; + use ark_std::test_rng; + + let mut rng = test_rng(); + for _ in 0..1000 { + let a = F64::rand(&mut rng); + let b = F64::rand(&mut rng); + let c = F64::rand(&mut rng); + let r = F64::rand(&mut rng); + + // claim = q(0) + q(1) = a + (a + b + c) = 2a + b + c + let claim = a + a + b + c; + let expected = a + b * r + c * r * r; + let got = ProductSumcheck::::evaluate_round_poly(r, a, b, claim); + assert_eq!(expected, got); + } } } diff --git a/src/multilinear_sumcheck.rs b/src/multilinear_sumcheck.rs index 7dc34616..9fc96ee1 100644 --- a/src/multilinear_sumcheck.rs +++ b/src/multilinear_sumcheck.rs @@ -88,6 +88,18 @@ pub fn multilinear_sumcheck>( // Remaining rounds work in EF for _ in 1..num_rounds { + // Try SIMD extension evaluate (accelerates when EF is Goldilocks-based) + #[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") + ))] + let msg = crate::simd_sumcheck::dispatch::try_simd_ext_evaluate(&ef_evals) + .unwrap_or_else(|| pairwise::evaluate(&ef_evals)); + + #[cfg(not(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") + )))] let msg = pairwise::evaluate(&ef_evals); prover_messages.push(msg); @@ -196,4 +208,51 @@ mod tests { simd_result.verifier_messages ); } + + #[test] + #[should_panic(expected = "power of 2")] + fn test_non_power_of_2_panics() { + use crate::transcript::SanityTranscript; + let mut rng = test_rng(); + let mut evals = vec![F64::from(1u64); 7]; // not a power of 2 + let mut transcript = SanityTranscript::new(&mut rng); + multilinear_sumcheck::(&mut evals, &mut transcript); + } + + #[test] + fn test_minimal_input() { + // n = 2 (1 variable, 1 round) + use crate::transcript::SanityTranscript; + let mut rng = test_rng(); + let mut evals = vec![F64::from(3u64), F64::from(7u64)]; + let mut transcript = SanityTranscript::new(&mut rng); + let result = multilinear_sumcheck::(&mut evals, &mut transcript); + assert_eq!(result.prover_messages.len(), 1); + assert_eq!(result.prover_messages[0].0, F64::from(3u64)); // s(0) + assert_eq!(result.prover_messages[0].1, F64::from(7u64)); // s(1) + } + + #[test] + fn test_extension_field_sumcheck() { + // Test multilinear sumcheck with BF = EF = F64Ext2 (degree-2 extension). + // This exercises the SIMD extension evaluate path in rounds 1+. + use crate::tests::F64Ext2; + use crate::transcript::SanityTranscript; + + let mut rng = test_rng(); + let n = 1 << 8; + let mut evals: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); + + // Run the sumcheck (SIMD extension evaluate dispatched for Goldilocks Ext2) + let mut transcript = SanityTranscript::new(&mut rng); + let result = multilinear_sumcheck::(&mut evals, &mut transcript); + + assert_eq!(result.prover_messages.len(), 8); + assert_eq!(result.verifier_messages.len(), 8); + + // Verify round 0: s(0) + s(1) == sum of all evaluations + let claimed_sum: F64Ext2 = evals.iter().copied().sum(); + let (s0, s1) = result.prover_messages[0]; + assert_eq!(s0 + s1, claimed_sum, "round 0 sum mismatch"); + } } diff --git a/src/simd_fields/goldilocks/neon.rs b/src/simd_fields/goldilocks/neon.rs index d3a575cb..51575842 100644 --- a/src/simd_fields/goldilocks/neon.rs +++ b/src/simd_fields/goldilocks/neon.rs @@ -164,6 +164,138 @@ fn mont_mul(a: u64, b: u64) -> u64 { result } +// ── Extension field SIMD multiply functions ───────────────────────────────── +// +// These are free functions rather than trait impls because the nonresidue +// is a runtime value (extracted from the arkworks extension field config +// during dispatch). The SimdExtField trait on mod.rs defines the interface; +// these functions implement the Karatsuba formulas for degree 2 and 3. + +/// Degree-2 Karatsuba: (a0 + a1·X)(b0 + b1·X) mod (X² - w) +/// 3 base muls + 1 mul-by-w + adds. +#[inline(always)] +pub fn ext2_mul(a: [uint64x2_t; 2], b: [uint64x2_t; 2], w: uint64x2_t) -> [uint64x2_t; 2] { + let v0 = GoldilocksNeon::mul(a[0], b[0]); + let v1 = GoldilocksNeon::mul(a[1], b[1]); + let c0 = GoldilocksNeon::add(v0, GoldilocksNeon::mul(w, v1)); + let a_sum = GoldilocksNeon::add(a[0], a[1]); + let b_sum = GoldilocksNeon::add(b[0], b[1]); + let c1 = GoldilocksNeon::sub( + GoldilocksNeon::sub(GoldilocksNeon::mul(a_sum, b_sum), v0), + v1, + ); + [c0, c1] +} + +/// Degree-2 Karatsuba (scalar version for tail processing). +#[inline(always)] +pub fn ext2_scalar_mul(a: [u64; 2], b: [u64; 2], w: u64) -> [u64; 2] { + let v0 = mont_mul(a[0], b[0]); + let v1 = mont_mul(a[1], b[1]); + let c0 = GoldilocksNeon::scalar_add(v0, mont_mul(w, v1)); + let a_sum = GoldilocksNeon::scalar_add(a[0], a[1]); + let b_sum = GoldilocksNeon::scalar_add(b[0], b[1]); + let c1 = GoldilocksNeon::scalar_sub(GoldilocksNeon::scalar_sub(mont_mul(a_sum, b_sum), v0), v1); + [c0, c1] +} + +/// Degree-3 Karatsuba: (a0 + a1·X + a2·X²)(b0 + b1·X + b2·X²) mod (X³ - w) +/// 6 base muls + 2 mul-by-w + adds. +#[inline(always)] +pub fn ext3_mul(a: [uint64x2_t; 3], b: [uint64x2_t; 3], w: uint64x2_t) -> [uint64x2_t; 3] { + let ad = GoldilocksNeon::mul(a[0], b[0]); + let be = GoldilocksNeon::mul(a[1], b[1]); + let cf = GoldilocksNeon::mul(a[2], b[2]); + + let x = GoldilocksNeon::sub( + GoldilocksNeon::sub( + GoldilocksNeon::mul( + GoldilocksNeon::add(a[1], a[2]), + GoldilocksNeon::add(b[1], b[2]), + ), + be, + ), + cf, + ); + let y = GoldilocksNeon::sub( + GoldilocksNeon::sub( + GoldilocksNeon::mul( + GoldilocksNeon::add(a[0], a[1]), + GoldilocksNeon::add(b[0], b[1]), + ), + ad, + ), + be, + ); + let z = GoldilocksNeon::add( + GoldilocksNeon::sub( + GoldilocksNeon::sub( + GoldilocksNeon::mul( + GoldilocksNeon::add(a[0], a[2]), + GoldilocksNeon::add(b[0], b[2]), + ), + ad, + ), + cf, + ), + be, + ); + + [ + GoldilocksNeon::add(ad, GoldilocksNeon::mul(w, x)), + GoldilocksNeon::add(y, GoldilocksNeon::mul(w, cf)), + z, + ] +} + +/// Degree-3 Karatsuba (scalar version). +#[inline(always)] +pub fn ext3_scalar_mul(a: [u64; 3], b: [u64; 3], w: u64) -> [u64; 3] { + let ad = mont_mul(a[0], b[0]); + let be = mont_mul(a[1], b[1]); + let cf = mont_mul(a[2], b[2]); + + let x = GoldilocksNeon::scalar_sub( + GoldilocksNeon::scalar_sub( + mont_mul( + GoldilocksNeon::scalar_add(a[1], a[2]), + GoldilocksNeon::scalar_add(b[1], b[2]), + ), + be, + ), + cf, + ); + let y = GoldilocksNeon::scalar_sub( + GoldilocksNeon::scalar_sub( + mont_mul( + GoldilocksNeon::scalar_add(a[0], a[1]), + GoldilocksNeon::scalar_add(b[0], b[1]), + ), + ad, + ), + be, + ); + let z = GoldilocksNeon::scalar_add( + GoldilocksNeon::scalar_sub( + GoldilocksNeon::scalar_sub( + mont_mul( + GoldilocksNeon::scalar_add(a[0], a[2]), + GoldilocksNeon::scalar_add(b[0], b[2]), + ), + ad, + ), + cf, + ), + be, + ); + + [ + GoldilocksNeon::scalar_add(ad, mont_mul(w, x)), + GoldilocksNeon::scalar_add(y, mont_mul(w, cf)), + z, + ] +} + #[cfg(test)] mod tests { use super::*; @@ -260,4 +392,106 @@ mod tests { // (-1) * (-1) = 1 assert_eq!(from_mont(mont_mul(to_mont(neg_one), to_mont(neg_one))), one); } + + #[test] + fn test_ext2_scalar_mul() { + // Test degree-2 extension multiply against naive computation. + // Using nonresidue w = 7 (in Montgomery form). + let mut rng = test_rng(); + let w_mont = to_mont(F64::from(7u64)); + + for _ in 0..10_000 { + let a0 = F64::rand(&mut rng); + let a1 = F64::rand(&mut rng); + let b0 = F64::rand(&mut rng); + let b1 = F64::rand(&mut rng); + + let a = [to_mont(a0), to_mont(a1)]; + let b = [to_mont(b0), to_mont(b1)]; + let result = ext2_scalar_mul(a, b, w_mont); + + // Naive: c0 = a0*b0 + 7*a1*b1, c1 = a0*b1 + a1*b0 + let expected_c0 = a0 * b0 + F64::from(7u64) * a1 * b1; + let expected_c1 = a0 * b1 + a1 * b0; + + assert_eq!(from_mont(result[0]), expected_c0, "ext2 c0 mismatch"); + assert_eq!(from_mont(result[1]), expected_c1, "ext2 c1 mismatch"); + } + } + + #[test] + fn test_ext3_scalar_mul() { + // Test degree-3 extension multiply against naive schoolbook. + // Using nonresidue w = 7 (in Montgomery form). + let mut rng = test_rng(); + let w_mont = to_mont(F64::from(7u64)); + let w = F64::from(7u64); + + for _ in 0..10_000 { + let a0 = F64::rand(&mut rng); + let a1 = F64::rand(&mut rng); + let a2 = F64::rand(&mut rng); + let b0 = F64::rand(&mut rng); + let b1 = F64::rand(&mut rng); + let b2 = F64::rand(&mut rng); + + let a = [to_mont(a0), to_mont(a1), to_mont(a2)]; + let b = [to_mont(b0), to_mont(b1), to_mont(b2)]; + let result = ext3_scalar_mul(a, b, w_mont); + + // Naive schoolbook mod (X³ - w): + // c0 = a0*b0 + w*(a1*b2 + a2*b1) + // c1 = a0*b1 + a1*b0 + w*a2*b2 + // c2 = a0*b2 + a1*b1 + a2*b0 + let expected_c0 = a0 * b0 + w * (a1 * b2 + a2 * b1); + let expected_c1 = a0 * b1 + a1 * b0 + w * a2 * b2; + let expected_c2 = a0 * b2 + a1 * b1 + a2 * b0; + + assert_eq!(from_mont(result[0]), expected_c0, "ext3 c0 mismatch"); + assert_eq!(from_mont(result[1]), expected_c1, "ext3 c1 mismatch"); + assert_eq!(from_mont(result[2]), expected_c2, "ext3 c2 mismatch"); + } + } + + #[test] + fn test_ext2_neon_matches_scalar() { + // Verify NEON ext2_mul matches ext2_scalar_mul. + let mut rng = test_rng(); + let w_mont = to_mont(F64::from(7u64)); + let w_vec = GoldilocksNeon::splat(w_mont); + + for _ in 0..10_000 { + let a0 = F64::rand(&mut rng); + let a1 = F64::rand(&mut rng); + let b0 = F64::rand(&mut rng); + let b1 = F64::rand(&mut rng); + + let a_raw = [[to_mont(a0), to_mont(a0)], [to_mont(a1), to_mont(a1)]]; + let b_raw = [[to_mont(b0), to_mont(b0)], [to_mont(b1), to_mont(b1)]]; + + let a_v = [unsafe { GoldilocksNeon::load(a_raw[0].as_ptr()) }, unsafe { + GoldilocksNeon::load(a_raw[1].as_ptr()) + }]; + let b_v = [unsafe { GoldilocksNeon::load(b_raw[0].as_ptr()) }, unsafe { + GoldilocksNeon::load(b_raw[1].as_ptr()) + }]; + + let r_v = ext2_mul(a_v, b_v, w_vec); + + let mut r_out = [[0u64; 2]; 2]; + unsafe { + GoldilocksNeon::store(r_out[0].as_mut_ptr(), r_v[0]); + GoldilocksNeon::store(r_out[1].as_mut_ptr(), r_v[1]); + } + + let scalar_result = ext2_scalar_mul( + [to_mont(a0), to_mont(a1)], + [to_mont(b0), to_mont(b1)], + w_mont, + ); + + assert_eq!(r_out[0][0], scalar_result[0], "ext2 NEON c0 mismatch"); + assert_eq!(r_out[1][0], scalar_result[1], "ext2 NEON c1 mismatch"); + } + } } diff --git a/src/simd_fields/mod.rs b/src/simd_fields/mod.rs index 27051471..db04dbdf 100644 --- a/src/simd_fields/mod.rs +++ b/src/simd_fields/mod.rs @@ -4,6 +4,14 @@ //! operating on packed SIMD vectors. Currently supports: //! //! - **Goldilocks** (p = 2^64 − 2^32 + 1) via NEON on aarch64, AVX-512 IFMA on x86_64. +//! +//! # Extension fields +//! +//! The [`SimdExtField`] trait extends [`SimdBaseField`] with multiplication +//! formulas for algebraic extensions (degree 2, 3, 4, ...). Extension field +//! elements are represented as `d` consecutive base field scalars in memory. +//! Addition is component-wise (uses base field SIMD directly). Multiplication +//! uses Karatsuba or schoolbook formulas with base field SIMD operations. pub mod goldilocks; @@ -111,8 +119,13 @@ pub trait SimdBaseField: Copy + Send + Sync + Sized + 'static { /// `ptr` must point to at least `2 * LANES` valid `Scalar` values. #[inline(always)] unsafe fn load_deinterleaved(ptr: *const Self::Scalar) -> (Self::Packed, Self::Packed) { - let mut evens = [Self::ZERO; 16]; - let mut odds = [Self::ZERO; 16]; + assert!( + Self::LANES <= 32, + "LANES={} exceeds max supported (32)", + Self::LANES + ); + let mut evens = [Self::ZERO; 32]; + let mut odds = [Self::ZERO; 32]; for j in 0..Self::LANES { evens[j] = *ptr.add(2 * j); odds[j] = *ptr.add(2 * j + 1); @@ -120,3 +133,9 @@ pub trait SimdBaseField: Copy + Send + Sync + Sized + 'static { (Self::load(evens.as_ptr()), Self::load(odds.as_ptr())) } } + +// Extension field SIMD multiplication is implemented as free functions +// in each backend module (e.g., `goldilocks::neon::ext2_mul`) rather than +// as a trait, because the nonresidue is a runtime value extracted from the +// arkworks extension field config during dispatch. See `ext2_mul`, `ext3_mul` +// in the backend modules. diff --git a/src/simd_sumcheck/dispatch.rs b/src/simd_sumcheck/dispatch.rs index 6ea1b7ab..47e21de0 100644 --- a/src/simd_sumcheck/dispatch.rs +++ b/src/simd_sumcheck/dispatch.rs @@ -10,6 +10,21 @@ //! Detection uses [`Field::BasePrimeField::MODULUS`] from arkworks — no //! concrete type names are referenced. After monomorphization the check //! is constant-folded by LLVM, so the dead branch is eliminated entirely. +//! +//! # Safety: `transmute_copy` between `Field` and `u64` +//! +//! The `u64_to_field` and `field_to_u64` helpers use `transmute_copy` to +//! reinterpret between arkworks field elements and raw Montgomery-form `u64` +//! values. This is safe for Goldilocks because: +//! +//! 1. `is_goldilocks()` verifies: extension degree == 1, `size_of::()` == 8, +//! modulus bits == 64, and modulus value == `0xFFFF_FFFF_0000_0001`. +//! 2. Both `SmallFp

` and `Fp64>` store a single `u64` +//! as their only non-ZST field (`value: u64` resp. `BigInt<1>([u64; 1])`). +//! +//! This invariant is NOT guaranteed by `#[repr(transparent)]` in arkworks. +//! If arkworks changes the internal layout of these types, the SIMD path +//! must be updated. The `size_of` check provides a compile-time safety net. #[cfg(any( target_arch = "aarch64", @@ -53,7 +68,7 @@ const GOLDILOCKS_P: u64 = 0xFFFF_FFFF_0000_0001; ))] #[inline(always)] fn is_goldilocks() -> bool { - use ark_ff::PrimeField; // for MODULUS on BasePrimeField + use ark_ff::PrimeField; if F::extension_degree() != 1 { return false; @@ -69,6 +84,33 @@ fn is_goldilocks() -> bool { limbs[0] == GOLDILOCKS_P && limbs[1..].iter().all(|&x| x == 0) } +/// Returns `true` when `F` has Goldilocks as its base prime field, +/// regardless of extension degree. For degree-1 this is the same as +/// `is_goldilocks`. For degree 2, 3, etc., the element is `d` consecutive +/// `u64` values in Montgomery form. +/// +/// After monomorphization, fully constant-folded by LLVM. +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] +#[inline(always)] +fn is_goldilocks_based() -> bool { + use ark_ff::PrimeField; + + if F::BasePrimeField::MODULUS_BIT_SIZE != 64 { + return false; + } + // Check element size matches d * 8 bytes (d u64 components) + let d = F::extension_degree() as usize; + if core::mem::size_of::() != d * core::mem::size_of::() { + return false; + } + let modulus = F::BasePrimeField::MODULUS; + let limbs: &[u64] = modulus.as_ref(); + limbs[0] == GOLDILOCKS_P && limbs[1..].iter().all(|&x| x == 0) +} + // ─── Auto-dispatch ────────────────────────────────────────────────────────── /// Try to run the multilinear sumcheck on the SIMD backend. @@ -419,6 +461,139 @@ pub(crate) fn try_simd_fused_reduce_evaluate_degree1( Some(vec![s0, s1 - s0]) } +// ─── Extension field evaluate dispatch ────────────────────────────────────── + +/// SIMD-accelerated pairwise evaluate for extension field elements. +/// +/// Returns `Some((sum_even, sum_odd))` as extension field elements if +/// `EF` is a Goldilocks extension. Returns `None` otherwise. +/// +/// The evaluate is pure addition (component-wise), so SIMD wins regardless +/// of extension degree. +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] +pub(crate) fn try_simd_ext_evaluate(evals: &[EF]) -> Option<(EF, EF)> { + if !is_goldilocks_based::() { + return None; + } + + #[cfg(target_arch = "aarch64")] + type Backend = crate::simd_fields::goldilocks::neon::GoldilocksNeon; + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] + type Backend = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; + + let d = EF::extension_degree() as usize; + + if d == 1 { + // Base field — use the optimized base evaluate + let buf: &[u64] = + unsafe { core::slice::from_raw_parts(evals.as_ptr() as *const u64, evals.len()) }; + let (s0, s1) = crate::simd_sumcheck::evaluate::evaluate_parallel::(buf); + return Some((u64_to_field(s0), u64_to_field(s1))); + } + + // Extension field: view as flat u64 buffer and run ext_evaluate + let n_u64 = evals.len() * d; + let buf: &[u64] = unsafe { core::slice::from_raw_parts(evals.as_ptr() as *const u64, n_u64) }; + let (even_comps, odd_comps) = + crate::simd_sumcheck::evaluate::ext_evaluate_parallel::(buf, d); + + // Reconstruct extension field elements from component vectors + let even: EF = unsafe { ext_components_to_field(&even_comps) }; + let odd: EF = unsafe { ext_components_to_field(&odd_comps) }; + + Some((even, odd)) +} + +/// Reconstruct an extension field element from its raw u64 components. +/// +/// # Safety +/// +/// Components must be valid Montgomery-form u64 values and `F` must be +/// a Goldilocks extension with `size_of::() == components.len() * 8`. +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] +#[inline(always)] +unsafe fn ext_components_to_field(components: &[u64]) -> F { + debug_assert_eq!(core::mem::size_of::(), components.len() * 8); + let mut val = core::mem::MaybeUninit::::uninit(); + core::ptr::copy_nonoverlapping( + components.as_ptr(), + val.as_mut_ptr() as *mut u64, + components.len(), + ); + val.assume_init() +} + +/// SIMD-accelerated extension field reduce on `Vec`. +/// +/// For degree-2 Goldilocks extensions: uses `ext2_reduce_in_place` with +/// specialized Karatsuba multiply. Returns `true` if handled. +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] +#[allow(dead_code)] +pub(crate) fn try_simd_ext_reduce(evals: &mut Vec, challenge: EF) -> bool { + if !is_goldilocks_based::() { + return false; + } + + let d = EF::extension_degree() as usize; + + if d == 1 { + // Base field — use existing reduce + return try_simd_reduce(evals, challenge); + } + + if d == 2 { + #[cfg(target_arch = "aarch64")] + type Backend = crate::simd_fields::goldilocks::neon::GoldilocksNeon; + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] + type Backend = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; + + let n_u64 = evals.len() * d; + let buf: &[u64] = + unsafe { core::slice::from_raw_parts(evals.as_ptr() as *const u64, n_u64) }; + + // Extract challenge components as raw u64 + let chg_raw: [u64; 2] = unsafe { + let ptr = &challenge as *const EF as *const u64; + [*ptr, *ptr.add(1)] + }; + + // Extract nonresidue from the extension field config. + // We compute (0, 1) * (0, 1) = (NONRESIDUE, 0) to get it at runtime. + let one_x = unsafe { + use crate::simd_fields::SimdBaseField; + let mut tmp = [0u64; 2]; + tmp[1] = Backend::ONE; // c1 = 1 (in Montgomery form) + let one_x: EF = core::mem::transmute_copy(&tmp); + one_x + }; + let nr = one_x * one_x; + let w: u64 = unsafe { *((&nr) as *const EF as *const u64) }; + + let result_u64 = crate::simd_sumcheck::reduce::ext2_reduce_parallel(buf, chg_raw, w); + + // Reinterpret result u64s as EF elements + let new_len = result_u64.len() / d; + let result_ef: Vec = unsafe { + let mut v = core::mem::ManuallyDrop::new(result_u64); + Vec::from_raw_parts(v.as_mut_ptr() as *mut EF, new_len, v.capacity() / d) + }; + *evals = result_ef; + return true; + } + + // degree 3, 4, etc. — fall through to generic + false +} + /// SIMD-accelerated degree-1 pairwise evaluate: returns `[s0, s1 - s0]`. /// /// This is the coefficient sumcheck fast path for `degree() == 1` with a single diff --git a/src/simd_sumcheck/evaluate.rs b/src/simd_sumcheck/evaluate.rs index 9660b64d..7809eef7 100644 --- a/src/simd_sumcheck/evaluate.rs +++ b/src/simd_sumcheck/evaluate.rs @@ -61,7 +61,7 @@ pub fn evaluate(src: &[F::Scalar]) -> (F::Scalar, F::Scalar) { ); // Extract lanes and sum even/odd groups. - let mut lanes_buf = [F::ZERO; 16]; + let mut lanes_buf = [F::ZERO; 32]; debug_assert!(F::LANES <= 16); unsafe { F::store(lanes_buf.as_mut_ptr(), total) }; @@ -242,8 +242,8 @@ pub fn product_evaluate( let total_b = F::add(F::add(acc_b0, acc_b1), F::add(acc_b2, acc_b3)); // Horizontal reduce: sum all lanes into a scalar - let mut buf = [F::ZERO; 16]; - debug_assert!(lanes <= 16); + let mut buf = [F::ZERO; 32]; + debug_assert!(lanes <= 32); let mut a_sum = F::ZERO; let mut b_sum = F::ZERO; unsafe { F::store(buf.as_mut_ptr(), total_a) }; @@ -310,6 +310,181 @@ pub fn product_evaluate_parallel( product_evaluate::(f, g) } +// ── Extension field evaluate ──────────────────────────────────────────────── + +/// SIMD-vectorized pairwise evaluate for extension field elements. +/// +/// Given `src` containing `n` extension elements of degree `d` (total +/// `n * d` base field scalars in AoS layout: `[e0_c0, e0_c1, ..., e1_c0, ...]`), +/// computes: +/// sum_even = e0 + e2 + e4 + ... (component-wise) +/// sum_odd = e1 + e3 + e5 + ... (component-wise) +/// +/// Returns `(even_components, odd_components)` each of length `d`. +/// +/// For degree-1 (base field), use [`evaluate`] instead — it's more optimized. +pub fn ext_evaluate( + src: &[F::Scalar], + ext_degree: usize, +) -> (Vec, Vec) { + let n_elems = src.len() / ext_degree; + debug_assert_eq!(src.len(), n_elems * ext_degree); + + let lanes = F::LANES; + let n_pairs = n_elems / 2; + // Stride in u64s between adjacent extension elements + let elem_stride = ext_degree; + // Stride in u64s between even and odd element in a pair + let pair_stride = 2 * ext_degree; + + let mut even_sums = vec![F::ZERO; ext_degree]; + let mut odd_sums = vec![F::ZERO; ext_degree]; + + // Number of SIMD vectors needed to load one extension element + let vecs_per_elem = ext_degree.div_ceil(lanes); + + if ext_degree >= lanes { + // Optimized path: each extension element is ≥ 1 SIMD vector. + // Use 4× unrolling for ILP (processes 4 pairs per outer iteration). + let unroll = 4; + let aligned_pairs = (n_pairs / unroll) * unroll; + + let simd_components = ext_degree / lanes; + // 4 even + 4 odd accumulators, each with simd_components vectors + let zero = F::splat(F::ZERO); + let mut even_accs = [[zero; 8]; 4]; // [unroll][max_simd_components] + let mut odd_accs = [[zero; 8]; 4]; + debug_assert!(simd_components <= 8); + + let ptr = src.as_ptr(); + let mut pair = 0; + while pair < aligned_pairs { + for u in 0..unroll { + let p = pair + u; + let even_off = p * pair_stride; + let odd_off = even_off + elem_stride; + for c in 0..simd_components { + unsafe { + even_accs[u][c] = + F::add(even_accs[u][c], F::load(ptr.add(even_off + c * lanes))); + odd_accs[u][c] = + F::add(odd_accs[u][c], F::load(ptr.add(odd_off + c * lanes))); + } + } + } + pair += unroll; + } + + // Combine unrolled accumulators + for u in 1..unroll { + for c in 0..simd_components { + even_accs[0][c] = F::add(even_accs[0][c], even_accs[u][c]); + odd_accs[0][c] = F::add(odd_accs[0][c], odd_accs[u][c]); + } + } + + // Tail: remaining pairs (< unroll) + while pair < n_pairs { + let even_off = pair * pair_stride; + let odd_off = even_off + elem_stride; + for c in 0..simd_components { + unsafe { + even_accs[0][c] = + F::add(even_accs[0][c], F::load(ptr.add(even_off + c * lanes))); + odd_accs[0][c] = F::add(odd_accs[0][c], F::load(ptr.add(odd_off + c * lanes))); + } + } + pair += 1; + } + + // Extract SIMD lanes into scalar sums + let mut buf = [F::ZERO; 32]; + for c in 0..simd_components { + unsafe { F::store(buf.as_mut_ptr(), even_accs[0][c]) }; + for l in 0..lanes { + even_sums[c * lanes + l] = F::scalar_add(even_sums[c * lanes + l], buf[l]); + } + unsafe { F::store(buf.as_mut_ptr(), odd_accs[0][c]) }; + for l in 0..lanes { + odd_sums[c * lanes + l] = F::scalar_add(odd_sums[c * lanes + l], buf[l]); + } + } + + // Tail components (ext_degree not divisible by lanes) + let tail_start = simd_components * lanes; + for p in 0..n_pairs { + let even_off = p * pair_stride; + let odd_off = even_off + elem_stride; + for c in tail_start..ext_degree { + even_sums[c] = F::scalar_add(even_sums[c], src[even_off + c]); + odd_sums[c] = F::scalar_add(odd_sums[c], src[odd_off + c]); + } + } + } else { + // ext_degree < LANES (e.g., degree-2 with AVX-512 LANES=8): + // Multiple extension elements fit in one SIMD vector. + // Scalar accumulation — still fast for small n. + let _ = vecs_per_elem; + for p in 0..n_pairs { + let even_off = p * pair_stride; + let odd_off = even_off + elem_stride; + for c in 0..ext_degree { + even_sums[c] = F::scalar_add(even_sums[c], src[even_off + c]); + odd_sums[c] = F::scalar_add(odd_sums[c], src[odd_off + c]); + } + } + } + + (even_sums, odd_sums) +} + +/// Parallel extension evaluate with chunking for large arrays. +#[cfg(feature = "parallel")] +pub fn ext_evaluate_parallel( + src: &[F::Scalar], + ext_degree: usize, +) -> (Vec, Vec) { + use rayon::prelude::*; + + let n_elems = src.len() / ext_degree; + let pair_stride = 2 * ext_degree; + let chunk_pairs = 8192_usize; + let chunk_u64s = chunk_pairs * pair_stride; + let n_pairs = n_elems / 2; + + if n_pairs <= chunk_pairs { + return ext_evaluate::(src, ext_degree); + } + + src.par_chunks(chunk_u64s) + .map(|chunk| ext_evaluate::(chunk, ext_degree)) + .reduce( + || (vec![F::ZERO; ext_degree], vec![F::ZERO; ext_degree]), + |(mut e1, mut o1), (e2, o2)| { + for i in 0..ext_degree { + e1[i] = F::scalar_add(e1[i], e2[i]); + o1[i] = F::scalar_add(o1[i], o2[i]); + } + (e1, o1) + }, + ) +} + +/// Non-parallel fallback. +#[cfg(not(feature = "parallel"))] +pub fn ext_evaluate_parallel( + src: &[F::Scalar], + ext_degree: usize, +) -> (Vec, Vec) { + ext_evaluate::(src, ext_degree) +} + +// Note: Extension field REDUCE (multiply by challenge) stays in the generic +// arkworks path. The extension multiply is complex (Karatsuba with base muls) +// and on NEON the base mul is scalar anyway. The SIMD win for extensions is +// in the EVALUATE (addition only). For AVX-512 where base mul is truly +// vectorized, a SIMD extension reduce would help — future work. + #[cfg(test)] #[cfg(any( target_arch = "aarch64", diff --git a/src/simd_sumcheck/reduce.rs b/src/simd_sumcheck/reduce.rs index 11806959..c023b261 100644 --- a/src/simd_sumcheck/reduce.rs +++ b/src/simd_sumcheck/reduce.rs @@ -209,7 +209,7 @@ pub fn reduce_and_evaluate( let total = F::add(F::add(red0, red1), F::add(red2, red3)); // Extract lanes and sum even/odd groups - let mut lanes_buf = [F::ZERO; 16]; + let mut lanes_buf = [F::ZERO; 32]; debug_assert!(F::LANES <= 16); unsafe { F::store(lanes_buf.as_mut_ptr(), total) }; @@ -321,7 +321,7 @@ fn reduce_and_evaluate_into( let red3 = F::reduce_carry(acc3, carry3); let total = F::add(F::add(red0, red1), F::add(red2, red3)); - let mut lanes_buf = [F::ZERO; 16]; + let mut lanes_buf = [F::ZERO; 32]; debug_assert!(F::LANES <= 16); unsafe { F::store(lanes_buf.as_mut_ptr(), total) }; @@ -445,6 +445,197 @@ pub fn reduce_parallel( reduce_to_vec::(src, challenge) } +// ── Extension field reduce ────────────────────────────────────────────────── + +/// Degree-2 extension reduce in-place. +/// +/// `src` contains `n` extension elements as `2*n` consecutive u64s in AoS layout. +/// `challenge` is the extension challenge as `[c0, c1]` raw u64s. +/// `w` is the nonresidue in Montgomery form. +/// +/// For each pair `(a, b)`: `result = a + challenge * (b - a)` using ext2 multiply. +/// Returns the new length in u64s (`n * ext_degree / 2 = n`). +/// Degree-2 extension reduce, producing a new Vec (parallel-friendly). +/// +/// Each pair of adjacent extension elements `(a, b)` is folded: +/// `result = a + challenge * (b - a)` using degree-2 Karatsuba. +/// +/// `src` is `n_elems * 2` u64s in AoS layout. Returns `n_elems/2 * 2` u64s. +#[cfg(feature = "parallel")] +pub fn ext2_reduce_parallel(src: &[u64], challenge: [u64; 2], w: u64) -> Vec { + use rayon::prelude::*; + + let ext_deg = 2; + let pair_u64s = 2 * ext_deg; // 4 u64s per pair (even + odd element) + let n_pairs = src.len() / pair_u64s; + let chunk_pairs = 16_384_usize; + let chunk_u64s = chunk_pairs * pair_u64s; + + if n_pairs <= chunk_pairs { + return ext2_reduce_chunk(src, challenge, w); + } + + src.par_chunks(chunk_u64s) + .flat_map(|chunk| ext2_reduce_chunk(chunk, challenge, w)) + .collect() +} + +#[cfg(not(feature = "parallel"))] +pub fn ext2_reduce_parallel(src: &[u64], challenge: [u64; 2], w: u64) -> Vec { + ext2_reduce_chunk(src, challenge, w) +} + +/// Process a chunk of pairs for ext2 reduce. +fn ext2_reduce_chunk(src: &[u64], challenge: [u64; 2], w: u64) -> Vec { + let ext_deg = 2; + let n_elems = src.len() / ext_deg; + let n_pairs = n_elems / 2; + let mut out = vec![0u64; n_pairs * ext_deg]; + + #[cfg(target_arch = "aarch64")] + { + use crate::simd_fields::goldilocks::neon::{ext2_scalar_mul, GoldilocksNeon}; + + for i in 0..n_pairs { + let a_off = (2 * i) * ext_deg; + let b_off = (2 * i + 1) * ext_deg; + let out_off = i * ext_deg; + + let diff = [ + GoldilocksNeon::scalar_sub(src[b_off], src[a_off]), + GoldilocksNeon::scalar_sub(src[b_off + 1], src[a_off + 1]), + ]; + let prod = ext2_scalar_mul(diff, challenge, w); + out[out_off] = GoldilocksNeon::scalar_add(src[a_off], prod[0]); + out[out_off + 1] = GoldilocksNeon::scalar_add(src[a_off + 1], prod[1]); + } + } + + #[cfg(not(target_arch = "aarch64"))] + { + use crate::simd_fields::SimdBaseField; + type F = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; + + for i in 0..n_pairs { + let a_off = (2 * i) * ext_deg; + let b_off = (2 * i + 1) * ext_deg; + let out_off = i * ext_deg; + + let diff = [ + F::scalar_sub(src[b_off], src[a_off]), + F::scalar_sub(src[b_off + 1], src[a_off + 1]), + ]; + // Schoolbook ext2 mul for scalar fallback + let prod = [ + F::scalar_add( + F::scalar_mul(challenge[0], diff[0]), + F::scalar_mul(w, F::scalar_mul(challenge[1], diff[1])), + ), + F::scalar_add( + F::scalar_mul(challenge[0], diff[1]), + F::scalar_mul(challenge[1], diff[0]), + ), + ]; + out[out_off] = F::scalar_add(src[a_off], prod[0]); + out[out_off + 1] = F::scalar_add(src[a_off + 1], prod[1]); + } + } + + out +} + +/// Degree-2 extension reduce in-place (single-threaded, for small inputs). +#[allow(dead_code)] +pub fn ext2_reduce_in_place>( + src: &mut [u64], + challenge: [u64; 2], + w: u64, +) -> usize { + let ext_deg = 2; + let n_elems = src.len() / ext_deg; + let n_pairs = n_elems / 2; + + #[cfg(target_arch = "aarch64")] + { + use crate::simd_fields::goldilocks::neon::{ext2_scalar_mul, GoldilocksNeon}; + + let _w_vec = GoldilocksNeon::splat(w); + let _chg_v = [ + GoldilocksNeon::splat(challenge[0]), + GoldilocksNeon::splat(challenge[1]), + ]; + + // With NEON LANES=2 and degree-2: one SIMD load = one extension element. + // Process pairs: load even (2 u64s), load odd (2 u64s), compute result. + let ptr = src.as_mut_ptr(); + for i in 0..n_pairs { + let a_off = (2 * i) * ext_deg; + let b_off = (2 * i + 1) * ext_deg; + let out_off = i * ext_deg; + + unsafe { + // Load even and odd extension elements + let a_v = GoldilocksNeon::load(ptr.add(a_off) as *const u64); + let b_v = GoldilocksNeon::load(ptr.add(b_off) as *const u64); + + // diff = b - a (component-wise, both components in one SIMD op) + let diff_v = GoldilocksNeon::sub(b_v, a_v); + + // For ext2 multiply, we need SoA: separate c0 and c1 components. + // With LANES=2, the vector holds [c0, c1] — need to broadcast + // each component to both lanes for the multiply. + // Actually, ext2_mul expects [Packed; 2] where each Packed has + // the same component from multiple elements. With only 1 element + // per SIMD vector, we just extract and use scalar. + let diff0 = core::arch::aarch64::vgetq_lane_u64(diff_v, 0); + let diff1 = core::arch::aarch64::vgetq_lane_u64(diff_v, 1); + let prod = ext2_scalar_mul([diff0, diff1], challenge, w); + + // result = a + prod (component-wise) + let a0 = core::arch::aarch64::vgetq_lane_u64(a_v, 0); + let a1 = core::arch::aarch64::vgetq_lane_u64(a_v, 1); + let r0 = GoldilocksNeon::scalar_add(a0, prod[0]); + let r1 = GoldilocksNeon::scalar_add(a1, prod[1]); + + *ptr.add(out_off) = r0; + *ptr.add(out_off + 1) = r1; + } + } + } + + #[cfg(not(target_arch = "aarch64"))] + { + // Scalar fallback + for i in 0..n_pairs { + let a_off = (2 * i) * ext_deg; + let b_off = (2 * i + 1) * ext_deg; + let out_off = i * ext_deg; + + let diff = [ + F::scalar_sub(src[b_off], src[a_off]), + F::scalar_sub(src[b_off + 1], src[a_off + 1]), + ]; + + // Use the scalar ext2 mul from whichever backend is available + let prod = [ + F::scalar_add( + F::scalar_mul(challenge[0], diff[0]), + F::scalar_mul(w, F::scalar_mul(challenge[1], diff[1])), + ), + F::scalar_add( + F::scalar_mul(challenge[0], diff[1]), + F::scalar_mul(challenge[1], diff[0]), + ), + ]; + + src[out_off] = F::scalar_add(src[a_off], prod[0]); + src[out_off + 1] = F::scalar_add(src[a_off + 1], prod[1]); + } + } + + n_pairs * ext_deg +} + #[cfg(test)] #[cfg(any( target_arch = "aarch64", diff --git a/src/tests/fields.rs b/src/tests/fields.rs index 1b0a94eb..421aee36 100644 --- a/src/tests/fields.rs +++ b/src/tests/fields.rs @@ -1,4 +1,6 @@ use ark_ff::define_field; +use ark_ff::fields::models::cubic_extension::{CubicExtConfig, CubicExtField}; +use ark_ff::fields::models::quadratic_extension::{QuadExtConfig, QuadExtField}; use ark_ff::fields::{Fp128, Fp64, MontBackend, MontConfig}; #[derive(MontConfig)] @@ -46,6 +48,67 @@ pub fn from_mont(val: u64) -> F64 { pub struct FpF64Config; pub type FpF64 = Fp64>; +// Degree-2 extension of Goldilocks: F64[X] / (X² - 7) +// NONRESIDUE = 7 (must be a non-square in F64). +pub struct F64Ext2Config; +impl QuadExtConfig for F64Ext2Config { + type BasePrimeField = F64; + type BaseField = F64; + type FrobCoeff = F64; + const DEGREE_OVER_BASE_PRIME_FIELD: usize = 2; + const NONRESIDUE: F64 = F64::from_raw(7); + // Frobenius coefficient: NONRESIDUE^((p-1)/2). For testing, -1 works + // for any non-square nonresidue (Euler criterion). + // Frobenius coefficients: [1, -1]. + // -1 mod P = P - 1 = 0xFFFF_FFFF_0000_0000 in Montgomery form. + // Actually, -1 in Montgomery form is mont(-1) = mont(P-1) = (P-1)*R mod P. + // For Goldilocks, R mod P = EPSILON = 0xFFFFFFFF. + // mont(P-1) = (P-1) * R mod P. Let's just use from_raw(P - 1)... no. + // from_raw takes a value already in Montgomery form. + // -1 in Montgomery form = R * (P-1) mod P = (-R) mod P = P - EPSILON = P - (2^32-1) + // = 0xFFFF_FFFF_0000_0001 - 0xFFFF_FFFF = 0xFFFF_FFFE_0000_0002 + // Actually easier: just use the constant P - EPSILON. + const FROBENIUS_COEFF_C1: &'static [F64] = &[ + F64::from_raw(0xFFFF_FFFF), // mont(1) = R mod P = EPSILON + F64::from_raw(0xFFFF_FFFE_0000_0002), // mont(-1) = P - EPSILON + ]; + + fn mul_base_field_by_frob_coeff(fe: &mut Self::BaseField, power: usize) { + *fe *= &Self::FROBENIUS_COEFF_C1[power % 2]; + } +} +pub type F64Ext2 = QuadExtField; + +// Degree-3 extension of Goldilocks: F64[X] / (X³ - 7) +pub struct F64Ext3Config; +impl CubicExtConfig for F64Ext3Config { + type BasePrimeField = F64; + type BaseField = F64; + type FrobCoeff = F64; + const SQRT_PRECOMP: Option>> = None; + const DEGREE_OVER_BASE_PRIME_FIELD: usize = 3; + const NONRESIDUE: F64 = F64::from_raw(7); + // Frobenius coefficients for cubic extension. + // FROBENIUS_COEFF_C1[i] = NONRESIDUE^((p^i - 1) / 3) + // FROBENIUS_COEFF_C2[i] = NONRESIDUE^((2*(p^i - 1)) / 3) + // For testing purposes, we use identity (power 0) and compute the rest. + // Since p ≡ 1 mod 3 for Goldilocks, these exist. + // For simplicity, use [1, w^((p-1)/3), w^(2(p-1)/3)] but computing these + // requires modular exponentiation. For test-only usage, just provide placeholders + // that satisfy the trait — the sumcheck doesn't use Frobenius. + const FROBENIUS_COEFF_C1: &'static [F64] = &[F64::from_raw(0xFFFF_FFFF)]; // [1] + const FROBENIUS_COEFF_C2: &'static [F64] = &[F64::from_raw(0xFFFF_FFFF)]; // [1] + + fn mul_base_field_by_frob_coeff( + _c1: &mut Self::BaseField, + _c2: &mut Self::BaseField, + _power: usize, + ) { + // Frobenius not used in sumcheck — no-op for testing + } +} +pub type F64Ext3 = CubicExtField; + #[derive(MontConfig)] #[modulus = "143244528689204659050391023439224324689"] #[generator = "2"] diff --git a/src/tests/mod.rs b/src/tests/mod.rs index 2636a400..69c627a2 100644 --- a/src/tests/mod.rs +++ b/src/tests/mod.rs @@ -5,5 +5,5 @@ mod streams; pub mod multilinear; pub mod multilinear_product; pub mod polynomials; -pub use fields::{from_mont, to_mont, BabyBear, FpF64, F128, F19, F64, M31}; +pub use fields::{from_mont, to_mont, BabyBear, F64Ext2, F64Ext3, FpF64, F128, F19, F64, M31}; pub use streams::BenchStream; From 880122cd73eb51702b32a7225c14a2d18d479f86 Mon Sep 17 00:00:00 2001 From: EC2 Default User Date: Fri, 10 Apr 2026 15:15:27 +0000 Subject: [PATCH 25/52] chkpt --- src/multilinear_sumcheck.rs | 44 ++- src/simd_fields/goldilocks/avx512.rs | 522 +++++++++++++++++++++++++++ src/simd_sumcheck/dispatch.rs | 207 +++++++++-- src/simd_sumcheck/reduce.rs | 297 +++++++++++++-- 4 files changed, 1009 insertions(+), 61 deletions(-) diff --git a/src/multilinear_sumcheck.rs b/src/multilinear_sumcheck.rs index 9fc96ee1..4071ae2b 100644 --- a/src/multilinear_sumcheck.rs +++ b/src/multilinear_sumcheck.rs @@ -61,10 +61,22 @@ pub fn multilinear_sumcheck>( target_arch = "aarch64", all(target_arch = "x86_64", target_feature = "avx512ifma") ))] - if let Some(result) = - crate::simd_sumcheck::dispatch::try_simd_dispatch::(evaluations, transcript) { - return result; + // Base field dispatch (BF == EF == Goldilocks base) + if let Some(result) = + crate::simd_sumcheck::dispatch::try_simd_dispatch::(evaluations, transcript) + { + return result; + } + // Extension field dispatch (BF == EF == Goldilocks ext2/ext3) + if let Some(result) = + crate::simd_sumcheck::dispatch::try_simd_ext_dispatch::( + evaluations, + transcript, + ) + { + return result; + } } let num_rounds = evaluations.len().trailing_zeros() as usize; @@ -109,6 +121,26 @@ pub fn multilinear_sumcheck>( let chg = transcript.read(); verifier_messages.push(chg); + // Try SIMD extension reduce (accelerates when EF is Goldilocks-based) + #[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") + ))] + let reduced = + crate::simd_sumcheck::dispatch::try_simd_ext_reduce(&mut ef_evals, chg); + + #[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") + ))] + if !reduced { + pairwise::reduce_evaluations(&mut ef_evals, chg); + } + + #[cfg(not(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") + )))] pairwise::reduce_evaluations(&mut ef_evals, chg); } } @@ -243,7 +275,10 @@ mod tests { let n = 1 << 8; let mut evals: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); - // Run the sumcheck (SIMD extension evaluate dispatched for Goldilocks Ext2) + // Compute expected sum before sumcheck (which may modify evals in-place) + let claimed_sum: F64Ext2 = evals.iter().copied().sum(); + + // Run the sumcheck (SIMD extension dispatch for Goldilocks Ext2) let mut transcript = SanityTranscript::new(&mut rng); let result = multilinear_sumcheck::(&mut evals, &mut transcript); @@ -251,7 +286,6 @@ mod tests { assert_eq!(result.verifier_messages.len(), 8); // Verify round 0: s(0) + s(1) == sum of all evaluations - let claimed_sum: F64Ext2 = evals.iter().copied().sum(); let (s0, s1) = result.prover_messages[0]; assert_eq!(s0 + s1, claimed_sum, "round 0 sum mismatch"); } diff --git a/src/simd_fields/goldilocks/avx512.rs b/src/simd_fields/goldilocks/avx512.rs index 24fdde2b..b343f51b 100644 --- a/src/simd_fields/goldilocks/avx512.rs +++ b/src/simd_fields/goldilocks/avx512.rs @@ -250,6 +250,275 @@ unsafe fn avx512_mont_mul(a: __m512i, b: __m512i) -> __m512i { _mm512_mask_sub_epi64(r2, need_sub, r2, p_vec) } +// ── Extension field arithmetic ── +// +// Extension field SIMD multiplication is not part of the SimdBaseField trait — +// it's implemented as free functions because the nonresidue `w` is a runtime +// value (extracted from the arkworks extension field config during dispatch). + +/// Degree-2 Karatsuba: (a0 + a1·X)(b0 + b1·X) mod (X² - w) +/// 3 base muls + 1 mul-by-w + adds. +#[inline(always)] +pub fn ext2_mul(a: [__m512i; 2], b: [__m512i; 2], w: __m512i) -> [__m512i; 2] { + let v0 = GoldilocksAvx512::mul(a[0], b[0]); + let v1 = GoldilocksAvx512::mul(a[1], b[1]); + let c0 = GoldilocksAvx512::add(v0, GoldilocksAvx512::mul(w, v1)); + let a_sum = GoldilocksAvx512::add(a[0], a[1]); + let b_sum = GoldilocksAvx512::add(b[0], b[1]); + let c1 = GoldilocksAvx512::sub( + GoldilocksAvx512::sub(GoldilocksAvx512::mul(a_sum, b_sum), v0), + v1, + ); + [c0, c1] +} + +/// Degree-2 Karatsuba (scalar version for tail processing). +#[inline(always)] +pub fn ext2_scalar_mul(a: [u64; 2], b: [u64; 2], w: u64) -> [u64; 2] { + let v0 = mont_mul(a[0], b[0]); + let v1 = mont_mul(a[1], b[1]); + let c0 = GoldilocksAvx512::scalar_add(v0, mont_mul(w, v1)); + let a_sum = GoldilocksAvx512::scalar_add(a[0], a[1]); + let b_sum = GoldilocksAvx512::scalar_add(b[0], b[1]); + let c1 = GoldilocksAvx512::scalar_sub( + GoldilocksAvx512::scalar_sub(mont_mul(a_sum, b_sum), v0), + v1, + ); + [c0, c1] +} + +/// Degree-3 Karatsuba: (a0 + a1·X + a2·X²)(b0 + b1·X + b2·X²) mod (X³ - w) +/// 6 base muls + 2 mul-by-w + adds. +#[inline(always)] +pub fn ext3_mul(a: [__m512i; 3], b: [__m512i; 3], w: __m512i) -> [__m512i; 3] { + let ad = GoldilocksAvx512::mul(a[0], b[0]); + let be = GoldilocksAvx512::mul(a[1], b[1]); + let cf = GoldilocksAvx512::mul(a[2], b[2]); + + let x = GoldilocksAvx512::sub( + GoldilocksAvx512::sub( + GoldilocksAvx512::mul( + GoldilocksAvx512::add(a[1], a[2]), + GoldilocksAvx512::add(b[1], b[2]), + ), + be, + ), + cf, + ); + let y = GoldilocksAvx512::sub( + GoldilocksAvx512::sub( + GoldilocksAvx512::mul( + GoldilocksAvx512::add(a[0], a[1]), + GoldilocksAvx512::add(b[0], b[1]), + ), + ad, + ), + be, + ); + let z = GoldilocksAvx512::add( + GoldilocksAvx512::sub( + GoldilocksAvx512::sub( + GoldilocksAvx512::mul( + GoldilocksAvx512::add(a[0], a[2]), + GoldilocksAvx512::add(b[0], b[2]), + ), + ad, + ), + cf, + ), + be, + ); + + [ + GoldilocksAvx512::add(ad, GoldilocksAvx512::mul(w, x)), + GoldilocksAvx512::add(y, GoldilocksAvx512::mul(w, cf)), + z, + ] +} + +/// Degree-3 Karatsuba (scalar version). +#[inline(always)] +pub fn ext3_scalar_mul(a: [u64; 3], b: [u64; 3], w: u64) -> [u64; 3] { + let ad = mont_mul(a[0], b[0]); + let be = mont_mul(a[1], b[1]); + let cf = mont_mul(a[2], b[2]); + + let x = GoldilocksAvx512::scalar_sub( + GoldilocksAvx512::scalar_sub( + mont_mul( + GoldilocksAvx512::scalar_add(a[1], a[2]), + GoldilocksAvx512::scalar_add(b[1], b[2]), + ), + be, + ), + cf, + ); + let y = GoldilocksAvx512::scalar_sub( + GoldilocksAvx512::scalar_sub( + mont_mul( + GoldilocksAvx512::scalar_add(a[0], a[1]), + GoldilocksAvx512::scalar_add(b[0], b[1]), + ), + ad, + ), + be, + ); + let z = GoldilocksAvx512::scalar_add( + GoldilocksAvx512::scalar_sub( + GoldilocksAvx512::scalar_sub( + mont_mul( + GoldilocksAvx512::scalar_add(a[0], a[2]), + GoldilocksAvx512::scalar_add(b[0], b[2]), + ), + ad, + ), + cf, + ), + be, + ); + + [ + GoldilocksAvx512::scalar_add(ad, mont_mul(w, x)), + GoldilocksAvx512::scalar_add(y, mont_mul(w, cf)), + z, + ] +} + +/// Vectorized ext2 reduce: processes 8 pairs of degree-2 extension elements. +/// +/// Input: 32 u64s in AoS layout: `[a0_c0, a0_c1, b0_c0, b0_c1, a1_c0, ...]` +/// Each group of 4 u64s is one pair `(a_i, b_i)` where a,b are ext2 elements. +/// Computes `result_i = a_i + challenge * (b_i - a_i)` for 8 pairs simultaneously. +/// Output: 16 u64s in AoS layout: `[r0_c0, r0_c1, r1_c0, r1_c1, ...]` +#[inline(always)] +pub unsafe fn ext2_reduce_8pairs( + src: *const u64, + dst: *mut u64, + challenge_c0: __m512i, + challenge_c1: __m512i, + w_vec: __m512i, +) { + // Load 32 u64s (4 cache lines worth) + let v0 = _mm512_loadu_si512(src.cast()); // pairs 0-1: [a0c0,a0c1,b0c0,b0c1, a1c0,a1c1,b1c0,b1c1] + let v1 = _mm512_loadu_si512(src.add(8).cast()); // pairs 2-3 + let v2 = _mm512_loadu_si512(src.add(16).cast()); // pairs 4-5 + let v3 = _mm512_loadu_si512(src.add(24).cast()); // pairs 6-7 + + // Deinterleave: extract a_c0, a_c1, b_c0, b_c1 each as 8-wide vectors. + // Within each 512-bit register, stride is 4: positions 0,4 are a_c0; 1,5 are a_c1; etc. + // Across 4 registers: we gather element [k] from register [k/2], lane [4*(k%2) + component]. + // + // a_c0: from (v0 lane 0), (v0 lane 4), (v1 lane 0), (v1 lane 4), (v2 lane 0), (v2 lane 4), (v3 lane 0), (v3 lane 4) + // This requires cross-register shuffles. Use permutex2var for pairs of registers, + // then a second round. + + // First round: extract even-pair and odd-pair components from adjacent register pairs + // From v0,v1: gather a_c0 at indices 0,4 from v0 (=lanes 0,4) and 0,4 from v1 (=lanes 8,12) + // permutex2var across v0,v1 gives us 8 values; we want the lower 4 from v0 and lower 4 from v1 + // permutex2var treats v0 as indices 0-7 and v1 as indices 8-15 + let a_c0_lo = _mm512_permutex2var_epi64(v0, _mm512_set_epi64(12, 8, 4, 0, 12, 8, 4, 0), v1); + let a_c1_lo = _mm512_permutex2var_epi64(v0, _mm512_set_epi64(13, 9, 5, 1, 13, 9, 5, 1), v1); + let b_c0_lo = _mm512_permutex2var_epi64(v0, _mm512_set_epi64(14, 10, 6, 2, 14, 10, 6, 2), v1); + let b_c1_lo = _mm512_permutex2var_epi64(v0, _mm512_set_epi64(15, 11, 7, 3, 15, 11, 7, 3), v1); + + let a_c0_hi = _mm512_permutex2var_epi64(v2, _mm512_set_epi64(12, 8, 4, 0, 12, 8, 4, 0), v3); + let a_c1_hi = _mm512_permutex2var_epi64(v2, _mm512_set_epi64(13, 9, 5, 1, 13, 9, 5, 1), v3); + let b_c0_hi = _mm512_permutex2var_epi64(v2, _mm512_set_epi64(14, 10, 6, 2, 14, 10, 6, 2), v3); + let b_c1_hi = _mm512_permutex2var_epi64(v2, _mm512_set_epi64(15, 11, 7, 3, 15, 11, 7, 3), v3); + + // Second round: merge lo (pairs 0-3 in lanes 0-3) and hi (pairs 4-7 in lanes 0-3) + // into final 8-wide vectors. + // lo has useful data in lanes 0-3, hi has useful data in lanes 0-3. + // Use permutex2var: take lanes 0-3 from lo (indices 0-3) and lanes 0-3 from hi (indices 8-11). + let idx_merge = _mm512_set_epi64(11, 10, 9, 8, 3, 2, 1, 0); + + let a_c0 = _mm512_permutex2var_epi64(a_c0_lo, idx_merge, a_c0_hi); + let a_c1 = _mm512_permutex2var_epi64(a_c1_lo, idx_merge, a_c1_hi); + let b_c0 = _mm512_permutex2var_epi64(b_c0_lo, idx_merge, b_c0_hi); + let b_c1 = _mm512_permutex2var_epi64(b_c1_lo, idx_merge, b_c1_hi); + + // Compute diff = b - a (component-wise) + let diff_c0 = GoldilocksAvx512::sub(b_c0, a_c0); + let diff_c1 = GoldilocksAvx512::sub(b_c1, a_c1); + + // prod = challenge * diff (ext2 Karatsuba) + let prod = ext2_mul([diff_c0, diff_c1], [challenge_c0, challenge_c1], w_vec); + + // result = a + prod + let r_c0 = GoldilocksAvx512::add(a_c0, prod[0]); + let r_c1 = GoldilocksAvx512::add(a_c1, prod[1]); + + // Interleave back to AoS: [r0_c0, r0_c1, r1_c0, r1_c1, ...] + // 8 results → 16 u64s in 2 registers + // r_c0 = [r0, r1, r2, r3, r4, r5, r6, r7] (component 0) + // r_c1 = [r0, r1, r2, r3, r4, r5, r6, r7] (component 1) + // Want: out0 = [r0c0,r0c1,r1c0,r1c1,r2c0,r2c1,r3c0,r3c1] + // out1 = [r4c0,r4c1,r5c0,r5c1,r6c0,r6c1,r7c0,r7c1] + let idx_interleave_lo = _mm512_set_epi64(11, 3, 10, 2, 9, 1, 8, 0); + let idx_interleave_hi = _mm512_set_epi64(15, 7, 14, 6, 13, 5, 12, 4); + let out0 = _mm512_permutex2var_epi64(r_c0, idx_interleave_lo, r_c1); + let out1 = _mm512_permutex2var_epi64(r_c0, idx_interleave_hi, r_c1); + + _mm512_storeu_si512(dst.cast(), out0); + _mm512_storeu_si512(dst.add(8).cast(), out1); +} + +/// Vectorized ext3 reduce: processes 8 pairs of degree-3 extension elements. +/// +/// Input: 48 u64s in AoS layout: `[a0_c0, a0_c1, a0_c2, b0_c0, b0_c1, b0_c2, a1_c0, ...]` +/// Each group of 6 u64s is one pair `(a_i, b_i)` where a,b are ext3 elements. +/// Computes `result_i = a_i + challenge * (b_i - a_i)` for 8 pairs simultaneously. +/// Output: 24 u64s in AoS layout: `[r0_c0, r0_c1, r0_c2, r1_c0, r1_c1, r1_c2, ...]` +/// +/// Uses AVX-512 gather/scatter for the stride-6 deinterleave/interleave. +#[inline(always)] +pub unsafe fn ext3_reduce_8pairs( + src: *const u64, + dst: *mut u64, + challenge: [__m512i; 3], + w_vec: __m512i, +) { + // Gather 6 components from AoS layout (stride 6 per pair) + // Pair i: a at offset 6i, b at offset 6i+3 + let idx_a_c0 = _mm512_set_epi64(42, 36, 30, 24, 18, 12, 6, 0); + let idx_a_c1 = _mm512_set_epi64(43, 37, 31, 25, 19, 13, 7, 1); + let idx_a_c2 = _mm512_set_epi64(44, 38, 32, 26, 20, 14, 8, 2); + let idx_b_c0 = _mm512_set_epi64(45, 39, 33, 27, 21, 15, 9, 3); + let idx_b_c1 = _mm512_set_epi64(46, 40, 34, 28, 22, 16, 10, 4); + let idx_b_c2 = _mm512_set_epi64(47, 41, 35, 29, 23, 17, 11, 5); + + let base = src as *const i64; + let a_c0 = _mm512_i64gather_epi64::<8>(idx_a_c0, base); + let a_c1 = _mm512_i64gather_epi64::<8>(idx_a_c1, base); + let a_c2 = _mm512_i64gather_epi64::<8>(idx_a_c2, base); + let b_c0 = _mm512_i64gather_epi64::<8>(idx_b_c0, base); + let b_c1 = _mm512_i64gather_epi64::<8>(idx_b_c1, base); + let b_c2 = _mm512_i64gather_epi64::<8>(idx_b_c2, base); + + // diff = b - a (component-wise) + let diff_c0 = GoldilocksAvx512::sub(b_c0, a_c0); + let diff_c1 = GoldilocksAvx512::sub(b_c1, a_c1); + let diff_c2 = GoldilocksAvx512::sub(b_c2, a_c2); + + // prod = challenge * diff (ext3 Karatsuba) + let prod = ext3_mul([diff_c0, diff_c1, diff_c2], challenge, w_vec); + + // result = a + prod + let r_c0 = GoldilocksAvx512::add(a_c0, prod[0]); + let r_c1 = GoldilocksAvx512::add(a_c1, prod[1]); + let r_c2 = GoldilocksAvx512::add(a_c2, prod[2]); + + // Scatter back to AoS (stride 3 per result element) + let idx_r_c0 = _mm512_set_epi64(21, 18, 15, 12, 9, 6, 3, 0); + let idx_r_c1 = _mm512_set_epi64(22, 19, 16, 13, 10, 7, 4, 1); + let idx_r_c2 = _mm512_set_epi64(23, 20, 17, 14, 11, 8, 5, 2); + + let base_out = dst as *mut i64; + _mm512_i64scatter_epi64::<8>(base_out, idx_r_c0, r_c0); + _mm512_i64scatter_epi64::<8>(base_out, idx_r_c1, r_c1); + _mm512_i64scatter_epi64::<8>(base_out, idx_r_c2, r_c2); +} + /// Montgomery multiplication for single-limb Goldilocks (scalar). /// /// Computes `mont_mul(a, b) = a * b * R^{-1} mod P` where R = 2^64. @@ -450,4 +719,257 @@ mod tests { ); } } + + #[test] + fn test_ext2_scalar_mul() { + let mut rng = test_rng(); + let w_mont = to_mont(F64::from(7u64)); + + for _ in 0..10_000 { + let a0 = F64::rand(&mut rng); + let a1 = F64::rand(&mut rng); + let b0 = F64::rand(&mut rng); + let b1 = F64::rand(&mut rng); + + let a = [to_mont(a0), to_mont(a1)]; + let b = [to_mont(b0), to_mont(b1)]; + let result = ext2_scalar_mul(a, b, w_mont); + + // Naive: c0 = a0*b0 + 7*a1*b1, c1 = a0*b1 + a1*b0 + let expected_c0 = a0 * b0 + F64::from(7u64) * a1 * b1; + let expected_c1 = a0 * b1 + a1 * b0; + + assert_eq!(from_mont(result[0]), expected_c0, "ext2 c0 mismatch"); + assert_eq!(from_mont(result[1]), expected_c1, "ext2 c1 mismatch"); + } + } + + #[test] + fn test_ext3_scalar_mul() { + let mut rng = test_rng(); + let w_mont = to_mont(F64::from(7u64)); + let w = F64::from(7u64); + + for _ in 0..10_000 { + let a0 = F64::rand(&mut rng); + let a1 = F64::rand(&mut rng); + let a2 = F64::rand(&mut rng); + let b0 = F64::rand(&mut rng); + let b1 = F64::rand(&mut rng); + let b2 = F64::rand(&mut rng); + + let a = [to_mont(a0), to_mont(a1), to_mont(a2)]; + let b = [to_mont(b0), to_mont(b1), to_mont(b2)]; + let result = ext3_scalar_mul(a, b, w_mont); + + // Naive schoolbook mod (X³ - w): + let expected_c0 = a0 * b0 + w * (a1 * b2 + a2 * b1); + let expected_c1 = a0 * b1 + a1 * b0 + w * a2 * b2; + let expected_c2 = a0 * b2 + a1 * b1 + a2 * b0; + + assert_eq!(from_mont(result[0]), expected_c0, "ext3 c0 mismatch"); + assert_eq!(from_mont(result[1]), expected_c1, "ext3 c1 mismatch"); + assert_eq!(from_mont(result[2]), expected_c2, "ext3 c2 mismatch"); + } + } + + #[test] + fn test_ext2_avx512_matches_scalar() { + let mut rng = test_rng(); + let w_mont = to_mont(F64::from(7u64)); + let w_vec = GoldilocksAvx512::splat(w_mont); + + for _ in 0..10_000 { + let a0 = F64::rand(&mut rng); + let a1 = F64::rand(&mut rng); + let b0 = F64::rand(&mut rng); + let b1 = F64::rand(&mut rng); + + // Broadcast same values across all 8 lanes + let a_v = [ + GoldilocksAvx512::splat(to_mont(a0)), + GoldilocksAvx512::splat(to_mont(a1)), + ]; + let b_v = [ + GoldilocksAvx512::splat(to_mont(b0)), + GoldilocksAvx512::splat(to_mont(b1)), + ]; + + let r_v = ext2_mul(a_v, b_v, w_vec); + + let mut r_out = [[0u64; 8]; 2]; + unsafe { + GoldilocksAvx512::store(r_out[0].as_mut_ptr(), r_v[0]); + GoldilocksAvx512::store(r_out[1].as_mut_ptr(), r_v[1]); + } + + let scalar_result = ext2_scalar_mul( + [to_mont(a0), to_mont(a1)], + [to_mont(b0), to_mont(b1)], + w_mont, + ); + + for lane in 0..8 { + assert_eq!( + r_out[0][lane], scalar_result[0], + "ext2 AVX-512 c0 lane {lane} mismatch" + ); + assert_eq!( + r_out[1][lane], scalar_result[1], + "ext2 AVX-512 c1 lane {lane} mismatch" + ); + } + } + } + + #[test] + fn test_ext3_avx512_matches_scalar() { + let mut rng = test_rng(); + let w_mont = to_mont(F64::from(7u64)); + let w_vec = GoldilocksAvx512::splat(w_mont); + + for _ in 0..10_000 { + let a0 = F64::rand(&mut rng); + let a1 = F64::rand(&mut rng); + let a2 = F64::rand(&mut rng); + let b0 = F64::rand(&mut rng); + let b1 = F64::rand(&mut rng); + let b2 = F64::rand(&mut rng); + + let a_v = [ + GoldilocksAvx512::splat(to_mont(a0)), + GoldilocksAvx512::splat(to_mont(a1)), + GoldilocksAvx512::splat(to_mont(a2)), + ]; + let b_v = [ + GoldilocksAvx512::splat(to_mont(b0)), + GoldilocksAvx512::splat(to_mont(b1)), + GoldilocksAvx512::splat(to_mont(b2)), + ]; + + let r_v = ext3_mul(a_v, b_v, w_vec); + + let mut r_out = [[0u64; 8]; 3]; + unsafe { + GoldilocksAvx512::store(r_out[0].as_mut_ptr(), r_v[0]); + GoldilocksAvx512::store(r_out[1].as_mut_ptr(), r_v[1]); + GoldilocksAvx512::store(r_out[2].as_mut_ptr(), r_v[2]); + } + + let scalar_result = ext3_scalar_mul( + [to_mont(a0), to_mont(a1), to_mont(a2)], + [to_mont(b0), to_mont(b1), to_mont(b2)], + w_mont, + ); + + for lane in 0..8 { + assert_eq!( + r_out[0][lane], scalar_result[0], + "ext3 AVX-512 c0 lane {lane} mismatch" + ); + assert_eq!( + r_out[1][lane], scalar_result[1], + "ext3 AVX-512 c1 lane {lane} mismatch" + ); + assert_eq!( + r_out[2][lane], scalar_result[2], + "ext3 AVX-512 c2 lane {lane} mismatch" + ); + } + } + } + + #[test] + fn test_ext2_reduce_8pairs() { + let mut rng = test_rng(); + let w_mont = to_mont(F64::from(7u64)); + + for _ in 0..1_000 { + // Generate 8 pairs of ext2 elements in AoS layout (32 u64s) + let src: Vec = (0..32).map(|_| to_mont(F64::rand(&mut rng))).collect(); + let challenge = [to_mont(F64::rand(&mut rng)), to_mont(F64::rand(&mut rng))]; + + // Reference: scalar reduce + let mut expected = vec![0u64; 16]; + for i in 0..8 { + let a = [src[4 * i], src[4 * i + 1]]; + let b = [src[4 * i + 2], src[4 * i + 3]]; + let diff = [ + GoldilocksAvx512::scalar_sub(b[0], a[0]), + GoldilocksAvx512::scalar_sub(b[1], a[1]), + ]; + let prod = ext2_scalar_mul(diff, challenge, w_mont); + expected[2 * i] = GoldilocksAvx512::scalar_add(a[0], prod[0]); + expected[2 * i + 1] = GoldilocksAvx512::scalar_add(a[1], prod[1]); + } + + // Vectorized + let mut actual = vec![0u64; 16]; + let challenge_c0 = GoldilocksAvx512::splat(challenge[0]); + let challenge_c1 = GoldilocksAvx512::splat(challenge[1]); + let w_vec = GoldilocksAvx512::splat(w_mont); + unsafe { + ext2_reduce_8pairs( + src.as_ptr(), + actual.as_mut_ptr(), + challenge_c0, + challenge_c1, + w_vec, + ); + } + + assert_eq!(expected, actual, "ext2_reduce_8pairs mismatch"); + } + } + + #[test] + fn test_ext3_reduce_8pairs() { + let mut rng = test_rng(); + let w_mont = to_mont(F64::from(7u64)); + + for _ in 0..1_000 { + // Generate 8 pairs of ext3 elements in AoS layout (48 u64s) + let src: Vec = (0..48).map(|_| to_mont(F64::rand(&mut rng))).collect(); + let challenge = [ + to_mont(F64::rand(&mut rng)), + to_mont(F64::rand(&mut rng)), + to_mont(F64::rand(&mut rng)), + ]; + + // Reference: scalar reduce + let mut expected = vec![0u64; 24]; + for i in 0..8 { + let a = [src[6 * i], src[6 * i + 1], src[6 * i + 2]]; + let b = [src[6 * i + 3], src[6 * i + 4], src[6 * i + 5]]; + let diff = [ + GoldilocksAvx512::scalar_sub(b[0], a[0]), + GoldilocksAvx512::scalar_sub(b[1], a[1]), + GoldilocksAvx512::scalar_sub(b[2], a[2]), + ]; + let prod = ext3_scalar_mul(diff, challenge, w_mont); + expected[3 * i] = GoldilocksAvx512::scalar_add(a[0], prod[0]); + expected[3 * i + 1] = GoldilocksAvx512::scalar_add(a[1], prod[1]); + expected[3 * i + 2] = GoldilocksAvx512::scalar_add(a[2], prod[2]); + } + + // Vectorized + let mut actual = vec![0u64; 24]; + let challenge_v = [ + GoldilocksAvx512::splat(challenge[0]), + GoldilocksAvx512::splat(challenge[1]), + GoldilocksAvx512::splat(challenge[2]), + ]; + let w_vec = GoldilocksAvx512::splat(w_mont); + unsafe { + ext3_reduce_8pairs( + src.as_ptr(), + actual.as_mut_ptr(), + challenge_v, + w_vec, + ); + } + + assert_eq!(expected, actual, "ext3_reduce_8pairs mismatch"); + } + } } diff --git a/src/simd_sumcheck/dispatch.rs b/src/simd_sumcheck/dispatch.rs index 47e21de0..43427768 100644 --- a/src/simd_sumcheck/dispatch.rs +++ b/src/simd_sumcheck/dispatch.rs @@ -111,6 +111,44 @@ fn is_goldilocks_based() -> bool { limbs[0] == GOLDILOCKS_P && limbs[1..].iter().all(|&x| x == 0) } +/// Extract the degree-2 nonresidue `w` from the extension field config. +/// Computes `(0, 1) * (0, 1) = (w, 0)` so `w` is at component 0. +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] +#[inline] +fn extract_nonresidue_ext2>( +) -> u64 { + let one_x = unsafe { + let mut tmp = [0u64; 2]; + tmp[1] = S::ONE; + let one_x: EF = core::mem::transmute_copy(&tmp); + one_x + }; + let nr = one_x * one_x; + unsafe { *((&nr) as *const EF as *const u64) } +} + +/// Extract the degree-3 nonresidue `w` from the extension field config. +/// Computes `(0, 1, 0)^3 = X^3 = w` so `w` is at component 0. +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] +#[inline] +fn extract_nonresidue_ext3>( +) -> u64 { + let one_x = unsafe { + let mut tmp = [0u64; 3]; + tmp[1] = S::ONE; + let one_x: EF = core::mem::transmute_copy(&tmp); + one_x + }; + let nr = one_x * one_x * one_x; + unsafe { *((&nr) as *const EF as *const u64) } +} + // ─── Auto-dispatch ────────────────────────────────────────────────────────── /// Try to run the multilinear sumcheck on the SIMD backend. @@ -205,6 +243,124 @@ pub(crate) fn try_simd_dispatch>( }) } +/// Try to run the multilinear sumcheck on the SIMD backend for extension fields. +/// +/// Handles the case where BF == EF and EF is a Goldilocks extension (degree 2 or 3). +/// All rounds are done in-place with SIMD evaluate + SIMD ext reduce, avoiding the +/// generic path's wasteful cross_field_reduce on round 0 (which is a no-op when BF==EF). +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] +pub(crate) fn try_simd_ext_dispatch>( + evaluations: &mut [BF], + transcript: &mut impl Transcript, +) -> Option> { + if !is_goldilocks_based::() { + return None; + } + + let d = BF::extension_degree() as usize; + if d < 2 || d > 3 { + return None; + } + + // BF must be the same as EF (both are ext fields with same layout) + if core::mem::size_of::() != core::mem::size_of::() { + return None; + } + + #[cfg(target_arch = "aarch64")] + type Backend = crate::simd_fields::goldilocks::neon::GoldilocksNeon; + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] + type Backend = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; + + let n = evaluations.len(); + let num_rounds = n.trailing_zeros() as usize; + let mut prover_messages: Vec<(EF, EF)> = Vec::with_capacity(num_rounds); + let mut verifier_messages: Vec = Vec::with_capacity(num_rounds); + + let n_u64 = n * d; + let current: &mut [u64] = unsafe { + core::slice::from_raw_parts_mut(evaluations.as_mut_ptr() as *mut u64, n_u64) + }; + + let mut len_u64 = n_u64; + + if d == 2 { + let w = extract_nonresidue_ext2::(); + + for round in 0..num_rounds { + // Evaluate: component-wise SIMD sums + let (even_comps, odd_comps) = + crate::simd_sumcheck::evaluate::ext_evaluate_parallel::( + ¤t[..len_u64], + d, + ); + let even: EF = unsafe { ext_components_to_field(&even_comps) }; + let odd: EF = unsafe { ext_components_to_field(&odd_comps) }; + let msg = (even, odd); + + prover_messages.push(msg); + transcript.write(msg.0); + transcript.write(msg.1); + + let chg: EF = transcript.read(); + verifier_messages.push(chg); + + if round < num_rounds - 1 { + let chg_raw: [u64; 2] = unsafe { + let ptr = &chg as *const EF as *const u64; + [*ptr, *ptr.add(1)] + }; + len_u64 = crate::simd_sumcheck::reduce::ext2_reduce_in_place::( + &mut current[..len_u64], + chg_raw, + w, + ); + } + } + } else { + // d == 3 + let w = extract_nonresidue_ext3::(); + + for round in 0..num_rounds { + let (even_comps, odd_comps) = + crate::simd_sumcheck::evaluate::ext_evaluate_parallel::( + ¤t[..len_u64], + d, + ); + let even: EF = unsafe { ext_components_to_field(&even_comps) }; + let odd: EF = unsafe { ext_components_to_field(&odd_comps) }; + let msg = (even, odd); + + prover_messages.push(msg); + transcript.write(msg.0); + transcript.write(msg.1); + + let chg: EF = transcript.read(); + verifier_messages.push(chg); + + if round < num_rounds - 1 { + let chg_raw: [u64; 3] = unsafe { + let ptr = &chg as *const EF as *const u64; + [*ptr, *ptr.add(1), *ptr.add(2)] + }; + len_u64 = crate::simd_sumcheck::reduce::ext3_reduce_in_place::( + &mut current[..len_u64], + chg_raw, + w, + ); + } + } + } + + Some(Sumcheck { + verifier_messages, + prover_messages, + }) +} + /// All-SIMD path: evaluate + reduce both in raw u64 SIMD. /// Best for small-to-medium inputs where SIMD reduce beats generic. #[cfg(any( @@ -556,41 +712,46 @@ pub(crate) fn try_simd_ext_reduce(evals: &mut Vec, challenge: EF) #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] type Backend = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; - let n_u64 = evals.len() * d; - let buf: &[u64] = - unsafe { core::slice::from_raw_parts(evals.as_ptr() as *const u64, n_u64) }; - - // Extract challenge components as raw u64 let chg_raw: [u64; 2] = unsafe { let ptr = &challenge as *const EF as *const u64; [*ptr, *ptr.add(1)] }; + let w = extract_nonresidue_ext2::(); - // Extract nonresidue from the extension field config. - // We compute (0, 1) * (0, 1) = (NONRESIDUE, 0) to get it at runtime. - let one_x = unsafe { - use crate::simd_fields::SimdBaseField; - let mut tmp = [0u64; 2]; - tmp[1] = Backend::ONE; // c1 = 1 (in Montgomery form) - let one_x: EF = core::mem::transmute_copy(&tmp); - one_x + // In-place reduce: first half gets results, then truncate. + let n_u64 = evals.len() * d; + let buf: &mut [u64] = unsafe { + core::slice::from_raw_parts_mut(evals.as_mut_ptr() as *mut u64, n_u64) }; - let nr = one_x * one_x; - let w: u64 = unsafe { *((&nr) as *const EF as *const u64) }; + crate::simd_sumcheck::reduce::ext2_reduce_in_place::(buf, chg_raw, w); + let new_len = evals.len() / 2; + evals.truncate(new_len); + return true; + } - let result_u64 = crate::simd_sumcheck::reduce::ext2_reduce_parallel(buf, chg_raw, w); + if d == 3 { + #[cfg(target_arch = "aarch64")] + type Backend3 = crate::simd_fields::goldilocks::neon::GoldilocksNeon; + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] + type Backend3 = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; - // Reinterpret result u64s as EF elements - let new_len = result_u64.len() / d; - let result_ef: Vec = unsafe { - let mut v = core::mem::ManuallyDrop::new(result_u64); - Vec::from_raw_parts(v.as_mut_ptr() as *mut EF, new_len, v.capacity() / d) + let chg_raw: [u64; 3] = unsafe { + let ptr = &challenge as *const EF as *const u64; + [*ptr, *ptr.add(1), *ptr.add(2)] + }; + let w = extract_nonresidue_ext3::(); + + let n_u64 = evals.len() * d; + let buf: &mut [u64] = unsafe { + core::slice::from_raw_parts_mut(evals.as_mut_ptr() as *mut u64, n_u64) }; - *evals = result_ef; + crate::simd_sumcheck::reduce::ext3_reduce_in_place::(buf, chg_raw, w); + let new_len = evals.len() / 2; + evals.truncate(new_len); return true; } - // degree 3, 4, etc. — fall through to generic + // degree 4+: fall through to generic false } diff --git a/src/simd_sumcheck/reduce.rs b/src/simd_sumcheck/reduce.rs index c023b261..d12f126d 100644 --- a/src/simd_sumcheck/reduce.rs +++ b/src/simd_sumcheck/reduce.rs @@ -513,31 +513,46 @@ fn ext2_reduce_chunk(src: &[u64], challenge: [u64; 2], w: u64) -> Vec { #[cfg(not(target_arch = "aarch64"))] { - use crate::simd_fields::SimdBaseField; - type F = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; + use crate::simd_fields::goldilocks::avx512::{ + ext2_reduce_8pairs, ext2_scalar_mul, GoldilocksAvx512, + }; + + let challenge_c0 = GoldilocksAvx512::splat(challenge[0]); + let challenge_c1 = GoldilocksAvx512::splat(challenge[1]); + let w_vec = GoldilocksAvx512::splat(w); + + // Process 8 pairs at a time (32 input u64s → 16 output u64s) + let simd_pairs = (n_pairs / 8) * 8; + let mut i = 0; + while i < simd_pairs { + let src_off = (2 * i) * ext_deg; // 4 u64s per pair, 8 pairs = 32 u64s + let out_off = i * ext_deg; // 2 u64s per result, 8 results = 16 u64s + unsafe { + ext2_reduce_8pairs( + src.as_ptr().add(src_off), + out.as_mut_ptr().add(out_off), + challenge_c0, + challenge_c1, + w_vec, + ); + } + i += 8; + } - for i in 0..n_pairs { + // Scalar tail for remaining pairs + while i < n_pairs { let a_off = (2 * i) * ext_deg; let b_off = (2 * i + 1) * ext_deg; let out_off = i * ext_deg; let diff = [ - F::scalar_sub(src[b_off], src[a_off]), - F::scalar_sub(src[b_off + 1], src[a_off + 1]), + GoldilocksAvx512::scalar_sub(src[b_off], src[a_off]), + GoldilocksAvx512::scalar_sub(src[b_off + 1], src[a_off + 1]), ]; - // Schoolbook ext2 mul for scalar fallback - let prod = [ - F::scalar_add( - F::scalar_mul(challenge[0], diff[0]), - F::scalar_mul(w, F::scalar_mul(challenge[1], diff[1])), - ), - F::scalar_add( - F::scalar_mul(challenge[0], diff[1]), - F::scalar_mul(challenge[1], diff[0]), - ), - ]; - out[out_off] = F::scalar_add(src[a_off], prod[0]); - out[out_off + 1] = F::scalar_add(src[a_off + 1], prod[1]); + let prod = ext2_scalar_mul(diff, challenge, w); + out[out_off] = GoldilocksAvx512::scalar_add(src[a_off], prod[0]); + out[out_off + 1] = GoldilocksAvx512::scalar_add(src[a_off + 1], prod[1]); + i += 1; } } @@ -605,31 +620,247 @@ pub fn ext2_reduce_in_place>( #[cfg(not(target_arch = "aarch64"))] { - // Scalar fallback + use crate::simd_fields::goldilocks::avx512::{ + ext2_reduce_8pairs, ext2_scalar_mul, GoldilocksAvx512, + }; + + let challenge_c0 = GoldilocksAvx512::splat(challenge[0]); + let challenge_c1 = GoldilocksAvx512::splat(challenge[1]); + let w_vec = GoldilocksAvx512::splat(w); + + let ptr = src.as_mut_ptr(); + let simd_pairs = (n_pairs / 8) * 8; + let mut i = 0; + + // Safe in-place: ext2_reduce_8pairs loads all 32 u64s into registers + // before writing 16 u64s, and output region is always <= input region. + while i < simd_pairs { + let src_off = (2 * i) * ext_deg; + let out_off = i * ext_deg; + unsafe { + ext2_reduce_8pairs( + ptr.add(src_off) as *const u64, + ptr.add(out_off), + challenge_c0, + challenge_c1, + w_vec, + ); + } + i += 8; + } + + while i < n_pairs { + let a_off = (2 * i) * ext_deg; + let b_off = (2 * i + 1) * ext_deg; + let out_off = i * ext_deg; + + let diff = [ + GoldilocksAvx512::scalar_sub(src[b_off], src[a_off]), + GoldilocksAvx512::scalar_sub(src[b_off + 1], src[a_off + 1]), + ]; + let prod = ext2_scalar_mul(diff, challenge, w); + + src[out_off] = GoldilocksAvx512::scalar_add(src[a_off], prod[0]); + src[out_off + 1] = GoldilocksAvx512::scalar_add(src[a_off + 1], prod[1]); + i += 1; + } + } + + n_pairs * ext_deg +} + +// ── Degree-3 extension field reduce ──────────────────────────────────────── + +/// Degree-3 extension reduce, producing a new Vec (parallel-friendly). +/// +/// Each pair of adjacent extension elements `(a, b)` is folded: +/// `result = a + challenge * (b - a)` using degree-3 Karatsuba. +/// +/// `src` is `n_elems * 3` u64s in AoS layout. Returns `n_elems/2 * 3` u64s. +#[cfg(feature = "parallel")] +pub fn ext3_reduce_parallel(src: &[u64], challenge: [u64; 3], w: u64) -> Vec { + use rayon::prelude::*; + + let ext_deg = 3; + let pair_u64s = 2 * ext_deg; // 6 u64s per pair (even + odd element) + let n_pairs = src.len() / pair_u64s; + let chunk_pairs = 16_384_usize; + let chunk_u64s = chunk_pairs * pair_u64s; + + if n_pairs <= chunk_pairs { + return ext3_reduce_chunk(src, challenge, w); + } + + src.par_chunks(chunk_u64s) + .flat_map(|chunk| ext3_reduce_chunk(chunk, challenge, w)) + .collect() +} + +#[cfg(not(feature = "parallel"))] +pub fn ext3_reduce_parallel(src: &[u64], challenge: [u64; 3], w: u64) -> Vec { + ext3_reduce_chunk(src, challenge, w) +} + +/// Process a chunk of pairs for ext3 reduce. +fn ext3_reduce_chunk(src: &[u64], challenge: [u64; 3], w: u64) -> Vec { + let ext_deg = 3; + let n_elems = src.len() / ext_deg; + let n_pairs = n_elems / 2; + let mut out = vec![0u64; n_pairs * ext_deg]; + + #[cfg(target_arch = "aarch64")] + { + use crate::simd_fields::goldilocks::neon::{ext3_scalar_mul, GoldilocksNeon}; + for i in 0..n_pairs { let a_off = (2 * i) * ext_deg; let b_off = (2 * i + 1) * ext_deg; let out_off = i * ext_deg; let diff = [ - F::scalar_sub(src[b_off], src[a_off]), - F::scalar_sub(src[b_off + 1], src[a_off + 1]), + GoldilocksNeon::scalar_sub(src[b_off], src[a_off]), + GoldilocksNeon::scalar_sub(src[b_off + 1], src[a_off + 1]), + GoldilocksNeon::scalar_sub(src[b_off + 2], src[a_off + 2]), ]; + let prod = ext3_scalar_mul(diff, challenge, w); + out[out_off] = GoldilocksNeon::scalar_add(src[a_off], prod[0]); + out[out_off + 1] = GoldilocksNeon::scalar_add(src[a_off + 1], prod[1]); + out[out_off + 2] = GoldilocksNeon::scalar_add(src[a_off + 2], prod[2]); + } + } + + #[cfg(not(target_arch = "aarch64"))] + { + use crate::simd_fields::goldilocks::avx512::{ + ext3_reduce_8pairs, ext3_scalar_mul, GoldilocksAvx512, + }; + + let challenge_v = [ + GoldilocksAvx512::splat(challenge[0]), + GoldilocksAvx512::splat(challenge[1]), + GoldilocksAvx512::splat(challenge[2]), + ]; + let w_vec = GoldilocksAvx512::splat(w); + + // Process 8 pairs at a time (48 input u64s → 24 output u64s) + let simd_pairs = (n_pairs / 8) * 8; + let mut i = 0; + while i < simd_pairs { + let src_off = (2 * i) * ext_deg; + let out_off = i * ext_deg; + unsafe { + ext3_reduce_8pairs( + src.as_ptr().add(src_off), + out.as_mut_ptr().add(out_off), + challenge_v, + w_vec, + ); + } + i += 8; + } + + // Scalar tail for remaining pairs + while i < n_pairs { + let a_off = (2 * i) * ext_deg; + let b_off = (2 * i + 1) * ext_deg; + let out_off = i * ext_deg; + + let diff = [ + GoldilocksAvx512::scalar_sub(src[b_off], src[a_off]), + GoldilocksAvx512::scalar_sub(src[b_off + 1], src[a_off + 1]), + GoldilocksAvx512::scalar_sub(src[b_off + 2], src[a_off + 2]), + ]; + let prod = ext3_scalar_mul(diff, challenge, w); + out[out_off] = GoldilocksAvx512::scalar_add(src[a_off], prod[0]); + out[out_off + 1] = GoldilocksAvx512::scalar_add(src[a_off + 1], prod[1]); + out[out_off + 2] = GoldilocksAvx512::scalar_add(src[a_off + 2], prod[2]); + i += 1; + } + } + + out +} + +/// Degree-3 extension reduce in-place (single-threaded, for small inputs). +#[allow(dead_code)] +pub fn ext3_reduce_in_place>( + src: &mut [u64], + challenge: [u64; 3], + w: u64, +) -> usize { + let ext_deg = 3; + let n_elems = src.len() / ext_deg; + let n_pairs = n_elems / 2; - // Use the scalar ext2 mul from whichever backend is available - let prod = [ - F::scalar_add( - F::scalar_mul(challenge[0], diff[0]), - F::scalar_mul(w, F::scalar_mul(challenge[1], diff[1])), - ), - F::scalar_add( - F::scalar_mul(challenge[0], diff[1]), - F::scalar_mul(challenge[1], diff[0]), - ), + #[cfg(target_arch = "aarch64")] + { + use crate::simd_fields::goldilocks::neon::{ext3_scalar_mul, GoldilocksNeon}; + + for i in 0..n_pairs { + let a_off = (2 * i) * ext_deg; + let b_off = (2 * i + 1) * ext_deg; + let out_off = i * ext_deg; + + let diff = [ + GoldilocksNeon::scalar_sub(src[b_off], src[a_off]), + GoldilocksNeon::scalar_sub(src[b_off + 1], src[a_off + 1]), + GoldilocksNeon::scalar_sub(src[b_off + 2], src[a_off + 2]), ]; + let prod = ext3_scalar_mul(diff, challenge, w); + src[out_off] = GoldilocksNeon::scalar_add(src[a_off], prod[0]); + src[out_off + 1] = GoldilocksNeon::scalar_add(src[a_off + 1], prod[1]); + src[out_off + 2] = GoldilocksNeon::scalar_add(src[a_off + 2], prod[2]); + } + } + + #[cfg(not(target_arch = "aarch64"))] + { + use crate::simd_fields::goldilocks::avx512::{ + ext3_reduce_8pairs, ext3_scalar_mul, GoldilocksAvx512, + }; + + let challenge_v = [ + GoldilocksAvx512::splat(challenge[0]), + GoldilocksAvx512::splat(challenge[1]), + GoldilocksAvx512::splat(challenge[2]), + ]; + let w_vec = GoldilocksAvx512::splat(w); + + let ptr = src.as_mut_ptr(); + let simd_pairs = (n_pairs / 8) * 8; + let mut i = 0; - src[out_off] = F::scalar_add(src[a_off], prod[0]); - src[out_off + 1] = F::scalar_add(src[a_off + 1], prod[1]); + // Safe in-place: ext3_reduce_8pairs gathers all 48 u64s into registers + // before scattering 24 u64s, and output region is always <= input region. + while i < simd_pairs { + let src_off = (2 * i) * ext_deg; + let out_off = i * ext_deg; + unsafe { + ext3_reduce_8pairs( + ptr.add(src_off) as *const u64, + ptr.add(out_off), + challenge_v, + w_vec, + ); + } + i += 8; + } + + while i < n_pairs { + let a_off = (2 * i) * ext_deg; + let b_off = (2 * i + 1) * ext_deg; + let out_off = i * ext_deg; + + let diff = [ + GoldilocksAvx512::scalar_sub(src[b_off], src[a_off]), + GoldilocksAvx512::scalar_sub(src[b_off + 1], src[a_off + 1]), + GoldilocksAvx512::scalar_sub(src[b_off + 2], src[a_off + 2]), + ]; + let prod = ext3_scalar_mul(diff, challenge, w); + src[out_off] = GoldilocksAvx512::scalar_add(src[a_off], prod[0]); + src[out_off + 1] = GoldilocksAvx512::scalar_add(src[a_off + 1], prod[1]); + src[out_off + 2] = GoldilocksAvx512::scalar_add(src[a_off + 2], prod[2]); + i += 1; } } From 6b30473ffe364bf6e30793d42504f812ae722af5 Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Sat, 11 Apr 2026 15:20:18 +0200 Subject: [PATCH 26/52] chkpt w/ deep research --- benches/simd_vs_generic.rs | 2 +- deep.pdf | Bin 0 -> 159638 bytes src/multilinear_sumcheck.rs | 75 ++++++---- src/simd_sumcheck/dispatch.rs | 112 ++++++++++++++- src/simd_sumcheck/reduce.rs | 256 ++++++++++++++++++++++++++++++++-- 5 files changed, 405 insertions(+), 40 deletions(-) create mode 100644 deep.pdf diff --git a/benches/simd_vs_generic.rs b/benches/simd_vs_generic.rs index 9faa824e..f53e1b77 100644 --- a/benches/simd_vs_generic.rs +++ b/benches/simd_vs_generic.rs @@ -7,7 +7,7 @@ use criterion::{ use efficient_sumcheck::{ multilinear::reductions::pairwise, multilinear_sumcheck, - tests::{F64, F64Ext2, F64Ext3}, + tests::{F64Ext2, F64Ext3, F64}, transcript::{SanityTranscript, Transcript}, }; diff --git a/deep.pdf b/deep.pdf new file mode 100644 index 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reduce: BF evaluations + EF challenge → Vec let mut ef_evals = pairwise::cross_field_reduce(evaluations, chg); - // Remaining rounds work in EF - for _ in 1..num_rounds { - // Try SIMD extension evaluate (accelerates when EF is Goldilocks-based) - #[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") - ))] - let msg = crate::simd_sumcheck::dispatch::try_simd_ext_evaluate(&ef_evals) - .unwrap_or_else(|| pairwise::evaluate(&ef_evals)); + // Remaining rounds work in EF. + // Use fused reduce+evaluate when available: reduces data AND computes + // next round's (s0, s1) in a single pass, eliminating one full read. + let mut pending_eval: Option<(EF, EF)> = None; - #[cfg(not(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") - )))] - let msg = pairwise::evaluate(&ef_evals); + for _ in 1..num_rounds { + // Get this round's evaluate — either from the previous fused pass + // or by computing it now. + let msg = if let Some(cached) = pending_eval.take() { + cached + } else { + #[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") + ))] + let result = crate::simd_sumcheck::dispatch::try_simd_ext_evaluate(&ef_evals) + .unwrap_or_else(|| pairwise::evaluate(&ef_evals)); + + #[cfg(not(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") + )))] + let result = pairwise::evaluate(&ef_evals); + + result + }; prover_messages.push(msg); transcript.write(msg.0); @@ -121,26 +132,32 @@ pub fn multilinear_sumcheck>( let chg = transcript.read(); verifier_messages.push(chg); - // Try SIMD extension reduce (accelerates when EF is Goldilocks-based) + // SIMD extension reduce strategies (best picked by size): + // 1. Small (≤ 2^17): fused reduce+evaluate in single pass + // 2. Any size: SIMD ext reduce (uses ext2/ext3 Karatsuba) + // 3. Fallback: generic arkworks Field reduce #[cfg(any( target_arch = "aarch64", all(target_arch = "x86_64", target_feature = "avx512ifma") ))] - let reduced = - crate::simd_sumcheck::dispatch::try_simd_ext_reduce(&mut ef_evals, chg); - - #[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") - ))] - if !reduced { - pairwise::reduce_evaluations(&mut ef_evals, chg); + { + // Try fused for small inputs first + if ef_evals.len() <= (1 << 17) { + if let Some(next_msg) = + crate::simd_sumcheck::dispatch::try_simd_ext_fused_reduce_evaluate( + &mut ef_evals, + chg, + ) + { + pending_eval = Some(next_msg); + continue; + } + } + // Try SIMD ext reduce for larger inputs + if crate::simd_sumcheck::dispatch::try_simd_ext_reduce(&mut ef_evals, chg) { + continue; + } } - - #[cfg(not(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") - )))] pairwise::reduce_evaluations(&mut ef_evals, chg); } } diff --git a/src/simd_sumcheck/dispatch.rs b/src/simd_sumcheck/dispatch.rs index 43427768..e9d2de71 100644 --- a/src/simd_sumcheck/dispatch.rs +++ b/src/simd_sumcheck/dispatch.rs @@ -515,8 +515,6 @@ pub(crate) fn try_simd_product_dispatch>( let mut verifier_messages: Vec = Vec::with_capacity(num_rounds); if num_rounds > 0 { - // BF == EF (both Goldilocks): work in-place on the original buffers. - // No cross_field_reduce allocation needed. let f_raw: &mut [u64] = unsafe { core::slice::from_raw_parts_mut(f.as_mut_ptr() as *mut u64, n) }; let g_raw: &mut [u64] = @@ -693,6 +691,116 @@ unsafe fn ext_components_to_field(components: &[u64]) -> F { target_arch = "aarch64", all(target_arch = "x86_64", target_feature = "avx512ifma") ))] +/// Fused extension reduce + next-round evaluate. +/// +/// Reduces `evals` in-place and returns `Some((next_even, next_odd))` for the +/// next round's prover message. Returns `None` for unsupported fields. +/// This eliminates one full data pass per round. +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] +pub(crate) fn try_simd_ext_fused_reduce_evaluate( + evals: &mut Vec, + challenge: EF, +) -> Option<(EF, EF)> { + if !is_goldilocks_based::() { + return None; + } + + let d = EF::extension_degree() as usize; + + if d == 1 { + // Base field: use existing fused reduce_and_evaluate + #[cfg(target_arch = "aarch64")] + type Backend = crate::simd_fields::goldilocks::neon::GoldilocksNeon; + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] + type Backend = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; + + let buf: &mut [u64] = + unsafe { core::slice::from_raw_parts_mut(evals.as_mut_ptr() as *mut u64, evals.len()) }; + let chg: u64 = field_to_u64(challenge); + let (s0, s1, new_len) = + crate::simd_sumcheck::reduce::reduce_and_evaluate::(buf, chg); + evals.truncate(new_len); + return Some((u64_to_field(s0), u64_to_field(s1))); + } + + #[cfg(target_arch = "aarch64")] + { + if d == 2 { + let n_u64 = evals.len() * d; + let buf: &mut [u64] = + unsafe { core::slice::from_raw_parts_mut(evals.as_mut_ptr() as *mut u64, n_u64) }; + + let chg_raw: [u64; 2] = unsafe { + let ptr = &challenge as *const EF as *const u64; + [*ptr, *ptr.add(1)] + }; + + // Extract nonresidue + let w = extract_ext2_nonresidue::(); + + let (even_comps, odd_comps, new_len_u64) = + crate::simd_sumcheck::reduce::ext2_reduce_and_evaluate(buf, chg_raw, w); + evals.truncate(new_len_u64 / d); + + let even: EF = unsafe { ext_components_to_field(&even_comps) }; + let odd: EF = unsafe { ext_components_to_field(&odd_comps) }; + return Some((even, odd)); + } + + if d == 3 { + let n_u64 = evals.len() * d; + let buf: &mut [u64] = + unsafe { core::slice::from_raw_parts_mut(evals.as_mut_ptr() as *mut u64, n_u64) }; + + let chg_raw: [u64; 3] = unsafe { + let ptr = &challenge as *const EF as *const u64; + [*ptr, *ptr.add(1), *ptr.add(2)] + }; + + let w = extract_ext2_nonresidue::(); // same trick works for ext3 + + let (even_comps, odd_comps, new_len_u64) = + crate::simd_sumcheck::reduce::ext3_reduce_and_evaluate(buf, chg_raw, w); + evals.truncate(new_len_u64 / d); + + let even: EF = unsafe { ext_components_to_field(&even_comps) }; + let odd: EF = unsafe { ext_components_to_field(&odd_comps) }; + return Some((even, odd)); + } + } + + None +} + +/// Extract the nonresidue w from an extension field at runtime. +/// Computes (0, 1, 0...) * (0, 1, 0...) = (w, 0, 0...) and extracts the first component. +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] +fn extract_ext2_nonresidue() -> u64 { + #[cfg(target_arch = "aarch64")] + type Backend = crate::simd_fields::goldilocks::neon::GoldilocksNeon; + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] + type Backend = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; + + use crate::simd_fields::SimdBaseField; + + let d = EF::extension_degree() as usize; + let one_x: EF = unsafe { + let mut tmp = vec![0u64; d]; + tmp[1] = Backend::ONE; + let mut val = core::mem::MaybeUninit::::uninit(); + core::ptr::copy_nonoverlapping(tmp.as_ptr(), val.as_mut_ptr() as *mut u64, d); + val.assume_init() + }; + let nr = one_x * one_x; + unsafe { *((&nr) as *const EF as *const u64) } +} + #[allow(dead_code)] pub(crate) fn try_simd_ext_reduce(evals: &mut Vec, challenge: EF) -> bool { if !is_goldilocks_based::() { diff --git a/src/simd_sumcheck/reduce.rs b/src/simd_sumcheck/reduce.rs index d12f126d..f154293e 100644 --- a/src/simd_sumcheck/reduce.rs +++ b/src/simd_sumcheck/reduce.rs @@ -486,6 +486,9 @@ pub fn ext2_reduce_parallel(src: &[u64], challenge: [u64; 2], w: u64) -> Vec Vec { let ext_deg = 2; let n_elems = src.len() / ext_deg; @@ -494,20 +497,36 @@ fn ext2_reduce_chunk(src: &[u64], challenge: [u64; 2], w: u64) -> Vec { #[cfg(target_arch = "aarch64")] { - use crate::simd_fields::goldilocks::neon::{ext2_scalar_mul, GoldilocksNeon}; + use crate::simd_fields::goldilocks::neon::GoldilocksNeon; + use crate::simd_fields::SimdBaseField; + + // Precompute c1*w once for this chunk (same challenge for all pairs) + let c0 = challenge[0]; + let c1 = challenge[1]; + let c1w = GoldilocksNeon::scalar_mul(c1, w); for i in 0..n_pairs { let a_off = (2 * i) * ext_deg; let b_off = (2 * i + 1) * ext_deg; let out_off = i * ext_deg; - let diff = [ - GoldilocksNeon::scalar_sub(src[b_off], src[a_off]), - GoldilocksNeon::scalar_sub(src[b_off + 1], src[a_off + 1]), - ]; - let prod = ext2_scalar_mul(diff, challenge, w); - out[out_off] = GoldilocksNeon::scalar_add(src[a_off], prod[0]); - out[out_off + 1] = GoldilocksNeon::scalar_add(src[a_off + 1], prod[1]); + let d0 = GoldilocksNeon::scalar_sub(src[b_off], src[a_off]); + let d1 = GoldilocksNeon::scalar_sub(src[b_off + 1], src[a_off + 1]); + + // (c0, c1) * (d0, d1) mod (X² - w) using precomputed c1w: + // prod0 = c0*d0 + c1w*d1 + // prod1 = c0*d1 + c1*d0 + let prod0 = GoldilocksNeon::scalar_add( + GoldilocksNeon::scalar_mul(c0, d0), + GoldilocksNeon::scalar_mul(c1w, d1), + ); + let prod1 = GoldilocksNeon::scalar_add( + GoldilocksNeon::scalar_mul(c0, d1), + GoldilocksNeon::scalar_mul(c1, d0), + ); + + out[out_off] = GoldilocksNeon::scalar_add(src[a_off], prod0); + out[out_off + 1] = GoldilocksNeon::scalar_add(src[a_off + 1], prod1); } } @@ -560,6 +579,227 @@ fn ext2_reduce_chunk(src: &[u64], challenge: [u64; 2], w: u64) -> Vec { } /// Degree-2 extension reduce in-place (single-threaded, for small inputs). +/// Fused ext2 reduce + next-round evaluate. +/// +/// In one pass over the data: +/// 1. Reduces each pair (a, b) → result = a + challenge * (b - a) using ext2 Karatsuba +/// 2. Accumulates even/odd sums of the reduced output (next round's evaluate) +/// 3. Stores reduced data in-place (front half of src) +/// +/// Returns `(even_components, odd_components, new_length_u64)` where +/// even/odd are `[c0, c1]` raw u64 component sums. +/// +/// This eliminates one full data pass per round vs separate reduce + evaluate. +#[cfg(target_arch = "aarch64")] +pub fn ext2_reduce_and_evaluate( + src: &mut [u64], + challenge: [u64; 2], + w: u64, +) -> ([u64; 2], [u64; 2], usize) { + use crate::simd_fields::goldilocks::neon::GoldilocksNeon; + + let ext_deg = 2; + let n_elems = src.len() / ext_deg; + let n_pairs = n_elems / 2; + let n_out_elems = n_pairs; + + // Precompute c1*w once + let c0 = challenge[0]; + let c1 = challenge[1]; + let c1w = GoldilocksNeon::scalar_mul(c1, w); + + let mut even_c0: u64 = 0; + let mut even_c1: u64 = 0; + let mut odd_c0: u64 = 0; + let mut odd_c1: u64 = 0; + + for i in 0..n_pairs { + let a_off = (2 * i) * ext_deg; + let b_off = (2 * i + 1) * ext_deg; + let out_off = i * ext_deg; + + let a = [src[a_off], src[a_off + 1]]; + let b = [src[b_off], src[b_off + 1]]; + + let d0 = GoldilocksNeon::scalar_sub(b[0], a[0]); + let d1 = GoldilocksNeon::scalar_sub(b[1], a[1]); + + // Precomputed mul-by-constant: 4 base muls + 2 adds + let prod0 = GoldilocksNeon::scalar_add( + GoldilocksNeon::scalar_mul(c0, d0), + GoldilocksNeon::scalar_mul(c1w, d1), + ); + let prod1 = GoldilocksNeon::scalar_add( + GoldilocksNeon::scalar_mul(c0, d1), + GoldilocksNeon::scalar_mul(c1, d0), + ); + let prod = [prod0, prod1]; + + // result = a + product + let r0 = GoldilocksNeon::scalar_add(a[0], prod[0]); + let r1 = GoldilocksNeon::scalar_add(a[1], prod[1]); + + // Store reduced result + src[out_off] = r0; + src[out_off + 1] = r1; + + // Accumulate into even/odd based on output extension element index + if i % 2 == 0 { + even_c0 = GoldilocksNeon::scalar_add(even_c0, r0); + even_c1 = GoldilocksNeon::scalar_add(even_c1, r1); + } else { + odd_c0 = GoldilocksNeon::scalar_add(odd_c0, r0); + odd_c1 = GoldilocksNeon::scalar_add(odd_c1, r1); + } + } + + ([even_c0, even_c1], [odd_c0, odd_c1], n_out_elems * ext_deg) +} + +/// Fused ext3 reduce + next-round evaluate. +/// +/// Same concept as ext2 but for degree-3 extensions (6 Karatsuba base muls). +#[cfg(target_arch = "aarch64")] +pub fn ext3_reduce_and_evaluate( + src: &mut [u64], + challenge: [u64; 3], + w: u64, +) -> ([u64; 3], [u64; 3], usize) { + use crate::simd_fields::goldilocks::neon::{ext3_scalar_mul, GoldilocksNeon}; + + let ext_deg = 3; + let n_elems = src.len() / ext_deg; + let n_pairs = n_elems / 2; + let n_out_elems = n_pairs; + + let mut even = [0u64; 3]; + let mut odd = [0u64; 3]; + + for i in 0..n_pairs { + let a_off = (2 * i) * ext_deg; + let b_off = (2 * i + 1) * ext_deg; + let out_off = i * ext_deg; + + let a = [src[a_off], src[a_off + 1], src[a_off + 2]]; + let b = [src[b_off], src[b_off + 1], src[b_off + 2]]; + + let diff = [ + GoldilocksNeon::scalar_sub(b[0], a[0]), + GoldilocksNeon::scalar_sub(b[1], a[1]), + GoldilocksNeon::scalar_sub(b[2], a[2]), + ]; + + let prod = ext3_scalar_mul(diff, challenge, w); + + let r = [ + GoldilocksNeon::scalar_add(a[0], prod[0]), + GoldilocksNeon::scalar_add(a[1], prod[1]), + GoldilocksNeon::scalar_add(a[2], prod[2]), + ]; + + src[out_off] = r[0]; + src[out_off + 1] = r[1]; + src[out_off + 2] = r[2]; + + if i % 2 == 0 { + for c in 0..3 { + even[c] = GoldilocksNeon::scalar_add(even[c], r[c]); + } + } else { + for c in 0..3 { + odd[c] = GoldilocksNeon::scalar_add(odd[c], r[c]); + } + } + } + + (even, odd, n_out_elems * ext_deg) +} + +/// Fused inner-product round: evaluate (a, b) + reduce both f and g in one pass. +/// +/// In a single streaming pass over f and g: +/// 1. Loads (f0,f1) and (g0,g1) pairs via deinterleaved reads +/// 2. Accumulates a += f0*g0, b += f0*g1 + f1*g0 (product evaluate) +/// 3. Stores f' = f0 + r*(f1-f0) and g' = g0 + r*(g1-g0) in front halves +/// +/// Returns (a, b, new_len) where a,b are the prover message coefficients. +pub fn product_reduce_and_evaluate( + f: &mut [F::Scalar], + g: &mut [F::Scalar], + challenge: F::Scalar, +) -> (F::Scalar, F::Scalar, usize) { + let n = f.len() / 2; + let lanes = F::LANES; + let challenge_v = F::splat(challenge); + + let mut acc_a = F::splat(F::ZERO); // Σ f_even * g_even + let mut acc_b = F::splat(F::ZERO); // Σ (f_even*g_odd + f_odd*g_even) + + let f_ptr = f.as_ptr(); + let g_ptr = g.as_ptr(); + let f_out = f.as_mut_ptr(); + let g_out = g.as_mut_ptr(); + + let step = 4 * lanes; + let aligned = (n / step) * step; + + let mut i = 0; + while i < aligned { + unsafe { + for u in 0..4 { + let off = i + u * lanes; + let (fe, fo) = F::load_deinterleaved(f_ptr.add(2 * off)); + let (ge, go) = F::load_deinterleaved(g_ptr.add(2 * off)); + + // Accumulate product evaluate + acc_a = F::add(acc_a, F::mul(fe, ge)); + acc_b = F::add(acc_b, F::add(F::mul(fe, go), F::mul(fo, ge))); + + // Reduce: f' = fe + r*(fo - fe), g' = ge + r*(go - ge) + let f_red = F::add(fe, F::mul(challenge_v, F::sub(fo, fe))); + let g_red = F::add(ge, F::mul(challenge_v, F::sub(go, ge))); + F::store(f_out.add(off), f_red); + F::store(g_out.add(off), g_red); + } + } + i += step; + } + + // Horizontal sum of SIMD accumulators + let mut buf = [F::ZERO; 32]; + let mut a_sum = F::ZERO; + let mut b_sum = F::ZERO; + unsafe { F::store(buf.as_mut_ptr(), acc_a) }; + for &v in buf.iter().take(lanes) { + a_sum = F::scalar_add(a_sum, v); + } + unsafe { F::store(buf.as_mut_ptr(), acc_b) }; + for &v in buf.iter().take(lanes) { + b_sum = F::scalar_add(b_sum, v); + } + + // Scalar tail: evaluate + reduce for remaining pairs + while i < n { + let fe = f[2 * i]; + let fo = f[2 * i + 1]; + let ge = g[2 * i]; + let go = g[2 * i + 1]; + + a_sum = F::scalar_add(a_sum, F::scalar_mul(fe, ge)); + b_sum = F::scalar_add( + b_sum, + F::scalar_add(F::scalar_mul(fe, go), F::scalar_mul(fo, ge)), + ); + + f[i] = F::scalar_add(fe, F::scalar_mul(challenge, F::scalar_sub(fo, fe))); + g[i] = F::scalar_add(ge, F::scalar_mul(challenge, F::scalar_sub(go, ge))); + + i += 1; + } + + (a_sum, b_sum, n) +} + #[allow(dead_code)] pub fn ext2_reduce_in_place>( src: &mut [u64], From c555c78b1883a8cd217aedc9d61397f59d6109da Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Sat, 11 Apr 2026 15:34:39 +0200 Subject: [PATCH 27/52] inner product ext field support + benchmarks + deep research optimizations --- benches/simd_vs_generic.rs | 68 +++++++++++++++++++++++++++- src/inner_product_sumcheck.rs | 35 +++++++++----- src/multilinear_sumcheck.rs | 5 +- src/simd_fields/goldilocks/avx512.rs | 21 +++------ src/simd_sumcheck/dispatch.rs | 39 ++++++---------- src/simd_sumcheck/reduce.rs | 2 +- 6 files changed, 115 insertions(+), 55 deletions(-) diff --git a/benches/simd_vs_generic.rs b/benches/simd_vs_generic.rs index f53e1b77..b73d14e9 100644 --- a/benches/simd_vs_generic.rs +++ b/benches/simd_vs_generic.rs @@ -5,6 +5,7 @@ use criterion::{ }; use efficient_sumcheck::{ + inner_product_sumcheck, multilinear::reductions::pairwise, multilinear_sumcheck, tests::{F64Ext2, F64Ext3, F64}, @@ -745,6 +746,70 @@ fn extension_field_sumcheck_bench(c: &mut Criterion) { group.finish(); } +// ── Inner product with extension fields ───────────────────────────────────── + +fn inner_product_extension_bench(c: &mut Criterion) { + let mut group = c.benchmark_group("ip_extension"); + group + .sample_size(10) + .warm_up_time(Duration::from_secs(2)) + .measurement_time(Duration::from_secs(5)); + + for num_vars in [16, 20] { + let n = 1usize << num_vars; + + group.bench_with_input( + BenchmarkId::new("ext2", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + bencher.iter_with_setup( + || { + let mut rng = ark_std::test_rng(); + let f: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); + let g: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); + (f, g) + }, + |(mut f, mut g)| { + let mut rng = ark_std::test_rng(); + let mut transcript = SanityTranscript::new(&mut rng); + black_box(inner_product_sumcheck::( + &mut f, + &mut g, + &mut transcript, + )); + }, + ) + }, + ); + + group.bench_with_input( + BenchmarkId::new("base", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + bencher.iter_with_setup( + || { + let mut rng = ark_std::test_rng(); + let f: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let g: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + (f, g) + }, + |(mut f, mut g)| { + let mut rng = ark_std::test_rng(); + let mut transcript = SanityTranscript::new(&mut rng); + black_box(inner_product_sumcheck::( + &mut f, + &mut g, + &mut transcript, + )); + }, + ) + }, + ); + } + + group.finish(); +} + criterion_group!( benches, simd_vs_generic_sumcheck, @@ -753,6 +818,7 @@ criterion_group!( bench_eval_reduce_loop, inner_product_sumcheck_bench, coefficient_sumcheck_bench, - extension_field_sumcheck_bench + extension_field_sumcheck_bench, + inner_product_extension_bench ); criterion_main!(benches); diff --git a/src/inner_product_sumcheck.rs b/src/inner_product_sumcheck.rs index a13e108f..1915e90a 100644 --- a/src/inner_product_sumcheck.rs +++ b/src/inner_product_sumcheck.rs @@ -147,18 +147,13 @@ pub fn inner_product_sumcheck>( let mut ef_f = pairwise::cross_field_reduce(f, chg); let mut ef_g = pairwise::cross_field_reduce(g, chg); - // Remaining rounds work in EF + // Remaining rounds work in EF. + // Call pairwise_product_evaluate directly instead of constructing + // a TimeProductProver each round (avoids MemoryStream allocation). for _ in 1..num_rounds { - let mut prover = TimeProductProver::new(TimeProductProverConfig::new( - ef_f.len().trailing_zeros() as usize, - vec![ - MemoryStream::new(ef_f.to_vec()), - MemoryStream::new(ef_g.to_vec()), - ], - ReduceMode::Pairwise, - )); - - let msg = prover.next_message(None).unwrap(); + let msg = crate::multilinear_product::provers::time::reductions::pairwise::pairwise_product_evaluate( + &[ef_f.clone(), ef_g.clone()], + ); prover_messages.push(msg); transcript.write(msg.0); @@ -289,4 +284,22 @@ mod tests { assert_eq!(result.prover_messages.len(), NUM_VARS); assert_eq!(result.verifier_messages.len(), NUM_VARS); } + + #[test] + fn test_inner_product_extension_field() { + // Test inner product sumcheck with BF = EF = F64Ext2. + use crate::tests::F64Ext2; + use crate::transcript::SanityTranscript; + + let mut rng = test_rng(); + let n = 1 << 6; + let mut f: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); + let mut g: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); + + let mut transcript = SanityTranscript::new(&mut rng); + let result = inner_product_sumcheck::(&mut f, &mut g, &mut transcript); + + assert_eq!(result.prover_messages.len(), 6); + assert_eq!(result.verifier_messages.len(), 6); + } } diff --git a/src/multilinear_sumcheck.rs b/src/multilinear_sumcheck.rs index 69adf29d..3ff63f5d 100644 --- a/src/multilinear_sumcheck.rs +++ b/src/multilinear_sumcheck.rs @@ -70,10 +70,7 @@ pub fn multilinear_sumcheck>( } // Extension field dispatch (BF == EF == Goldilocks ext2/ext3) if let Some(result) = - crate::simd_sumcheck::dispatch::try_simd_ext_dispatch::( - evaluations, - transcript, - ) + crate::simd_sumcheck::dispatch::try_simd_ext_dispatch::(evaluations, transcript) { return result; } diff --git a/src/simd_fields/goldilocks/avx512.rs b/src/simd_fields/goldilocks/avx512.rs index b343f51b..b9a7faca 100644 --- a/src/simd_fields/goldilocks/avx512.rs +++ b/src/simd_fields/goldilocks/avx512.rs @@ -280,10 +280,8 @@ pub fn ext2_scalar_mul(a: [u64; 2], b: [u64; 2], w: u64) -> [u64; 2] { let c0 = GoldilocksAvx512::scalar_add(v0, mont_mul(w, v1)); let a_sum = GoldilocksAvx512::scalar_add(a[0], a[1]); let b_sum = GoldilocksAvx512::scalar_add(b[0], b[1]); - let c1 = GoldilocksAvx512::scalar_sub( - GoldilocksAvx512::scalar_sub(mont_mul(a_sum, b_sum), v0), - v1, - ); + let c1 = + GoldilocksAvx512::scalar_sub(GoldilocksAvx512::scalar_sub(mont_mul(a_sum, b_sum), v0), v1); [c0, c1] } @@ -399,10 +397,10 @@ pub unsafe fn ext2_reduce_8pairs( w_vec: __m512i, ) { // Load 32 u64s (4 cache lines worth) - let v0 = _mm512_loadu_si512(src.cast()); // pairs 0-1: [a0c0,a0c1,b0c0,b0c1, a1c0,a1c1,b1c0,b1c1] - let v1 = _mm512_loadu_si512(src.add(8).cast()); // pairs 2-3 - let v2 = _mm512_loadu_si512(src.add(16).cast()); // pairs 4-5 - let v3 = _mm512_loadu_si512(src.add(24).cast()); // pairs 6-7 + let v0 = _mm512_loadu_si512(src.cast()); // pairs 0-1: [a0c0,a0c1,b0c0,b0c1, a1c0,a1c1,b1c0,b1c1] + let v1 = _mm512_loadu_si512(src.add(8).cast()); // pairs 2-3 + let v2 = _mm512_loadu_si512(src.add(16).cast()); // pairs 4-5 + let v3 = _mm512_loadu_si512(src.add(24).cast()); // pairs 6-7 // Deinterleave: extract a_c0, a_c1, b_c0, b_c1 each as 8-wide vectors. // Within each 512-bit register, stride is 4: positions 0,4 are a_c0; 1,5 are a_c1; etc. @@ -961,12 +959,7 @@ mod tests { ]; let w_vec = GoldilocksAvx512::splat(w_mont); unsafe { - ext3_reduce_8pairs( - src.as_ptr(), - actual.as_mut_ptr(), - challenge_v, - w_vec, - ); + ext3_reduce_8pairs(src.as_ptr(), actual.as_mut_ptr(), challenge_v, w_vec); } assert_eq!(expected, actual, "ext3_reduce_8pairs mismatch"); diff --git a/src/simd_sumcheck/dispatch.rs b/src/simd_sumcheck/dispatch.rs index e9d2de71..022eaa08 100644 --- a/src/simd_sumcheck/dispatch.rs +++ b/src/simd_sumcheck/dispatch.rs @@ -118,8 +118,7 @@ fn is_goldilocks_based() -> bool { all(target_arch = "x86_64", target_feature = "avx512ifma") ))] #[inline] -fn extract_nonresidue_ext2>( -) -> u64 { +fn extract_nonresidue_ext2>() -> u64 { let one_x = unsafe { let mut tmp = [0u64; 2]; tmp[1] = S::ONE; @@ -137,8 +136,7 @@ fn extract_nonresidue_ext2>( -) -> u64 { +fn extract_nonresidue_ext3>() -> u64 { let one_x = unsafe { let mut tmp = [0u64; 3]; tmp[1] = S::ONE; @@ -261,7 +259,7 @@ pub(crate) fn try_simd_ext_dispatch>( } let d = BF::extension_degree() as usize; - if d < 2 || d > 3 { + if !(2..=3).contains(&d) { return None; } @@ -281,9 +279,8 @@ pub(crate) fn try_simd_ext_dispatch>( let mut verifier_messages: Vec = Vec::with_capacity(num_rounds); let n_u64 = n * d; - let current: &mut [u64] = unsafe { - core::slice::from_raw_parts_mut(evaluations.as_mut_ptr() as *mut u64, n_u64) - }; + let current: &mut [u64] = + unsafe { core::slice::from_raw_parts_mut(evaluations.as_mut_ptr() as *mut u64, n_u64) }; let mut len_u64 = n_u64; @@ -292,11 +289,9 @@ pub(crate) fn try_simd_ext_dispatch>( for round in 0..num_rounds { // Evaluate: component-wise SIMD sums - let (even_comps, odd_comps) = - crate::simd_sumcheck::evaluate::ext_evaluate_parallel::( - ¤t[..len_u64], - d, - ); + let (even_comps, odd_comps) = crate::simd_sumcheck::evaluate::ext_evaluate_parallel::< + Backend, + >(¤t[..len_u64], d); let even: EF = unsafe { ext_components_to_field(&even_comps) }; let odd: EF = unsafe { ext_components_to_field(&odd_comps) }; let msg = (even, odd); @@ -325,11 +320,9 @@ pub(crate) fn try_simd_ext_dispatch>( let w = extract_nonresidue_ext3::(); for round in 0..num_rounds { - let (even_comps, odd_comps) = - crate::simd_sumcheck::evaluate::ext_evaluate_parallel::( - ¤t[..len_u64], - d, - ); + let (even_comps, odd_comps) = crate::simd_sumcheck::evaluate::ext_evaluate_parallel::< + Backend, + >(¤t[..len_u64], d); let even: EF = unsafe { ext_components_to_field(&even_comps) }; let odd: EF = unsafe { ext_components_to_field(&odd_comps) }; let msg = (even, odd); @@ -828,9 +821,8 @@ pub(crate) fn try_simd_ext_reduce(evals: &mut Vec, challenge: EF) // In-place reduce: first half gets results, then truncate. let n_u64 = evals.len() * d; - let buf: &mut [u64] = unsafe { - core::slice::from_raw_parts_mut(evals.as_mut_ptr() as *mut u64, n_u64) - }; + let buf: &mut [u64] = + unsafe { core::slice::from_raw_parts_mut(evals.as_mut_ptr() as *mut u64, n_u64) }; crate::simd_sumcheck::reduce::ext2_reduce_in_place::(buf, chg_raw, w); let new_len = evals.len() / 2; evals.truncate(new_len); @@ -850,9 +842,8 @@ pub(crate) fn try_simd_ext_reduce(evals: &mut Vec, challenge: EF) let w = extract_nonresidue_ext3::(); let n_u64 = evals.len() * d; - let buf: &mut [u64] = unsafe { - core::slice::from_raw_parts_mut(evals.as_mut_ptr() as *mut u64, n_u64) - }; + let buf: &mut [u64] = + unsafe { core::slice::from_raw_parts_mut(evals.as_mut_ptr() as *mut u64, n_u64) }; crate::simd_sumcheck::reduce::ext3_reduce_in_place::(buf, chg_raw, w); let new_len = evals.len() / 2; evals.truncate(new_len); diff --git a/src/simd_sumcheck/reduce.rs b/src/simd_sumcheck/reduce.rs index f154293e..f4bdb196 100644 --- a/src/simd_sumcheck/reduce.rs +++ b/src/simd_sumcheck/reduce.rs @@ -545,7 +545,7 @@ fn ext2_reduce_chunk(src: &[u64], challenge: [u64; 2], w: u64) -> Vec { let mut i = 0; while i < simd_pairs { let src_off = (2 * i) * ext_deg; // 4 u64s per pair, 8 pairs = 32 u64s - let out_off = i * ext_deg; // 2 u64s per result, 8 results = 16 u64s + let out_off = i * ext_deg; // 2 u64s per result, 8 results = 16 u64s unsafe { ext2_reduce_8pairs( src.as_ptr().add(src_off), From fda0fd76482a1def1670c55d623bd7da7cae0689 Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Sun, 12 Apr 2026 17:42:03 +0200 Subject: [PATCH 28/52] checkpoint --- benches/simd_vs_generic.rs | 97 ++++- src/coefficient_sumcheck.rs | 50 ++- src/inner_product_sumcheck.rs | 32 +- src/lib.rs | 1 + .../provers/time/reductions/pairwise.rs | 2 - .../provers/time/reductions/pairwise.rs | 21 ++ src/multilinear_sumcheck.rs | 12 +- src/simd_ops.rs | 344 ++++++++++++++++++ src/simd_sumcheck/dispatch.rs | 45 ++- src/simd_sumcheck/evaluate.rs | 115 ++++++ src/simd_sumcheck/reduce.rs | 55 +++ 11 files changed, 723 insertions(+), 51 deletions(-) create mode 100644 src/simd_ops.rs diff --git a/benches/simd_vs_generic.rs b/benches/simd_vs_generic.rs index b73d14e9..2975e7b1 100644 --- a/benches/simd_vs_generic.rs +++ b/benches/simd_vs_generic.rs @@ -351,7 +351,7 @@ fn inner_product_sumcheck_bench(c: &mut Criterion) { .warm_up_time(Duration::from_secs(2)) .measurement_time(Duration::from_secs(5)); - for num_vars in [16, 18, 20, 24] { + for num_vars in [16, 18, 20, 22, 24] { let n = 1usize << num_vars; // ── Auto-dispatch (SIMD for Goldilocks) ── @@ -755,7 +755,7 @@ fn inner_product_extension_bench(c: &mut Criterion) { .warm_up_time(Duration::from_secs(2)) .measurement_time(Duration::from_secs(5)); - for num_vars in [16, 20] { + for num_vars in [16, 20, 24] { let n = 1usize << num_vars; group.bench_with_input( @@ -805,6 +805,99 @@ fn inner_product_extension_bench(c: &mut Criterion) { ) }, ); + + // ── Generic baselines (no simd_ops, raw arkworks) ── + group.bench_with_input( + BenchmarkId::new("ext2_generic", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + use efficient_sumcheck::multilinear_product::provers::time::reductions::pairwise::pairwise_product_evaluate_slices; + bencher.iter_with_setup( + || { + let mut rng = ark_std::test_rng(); + let f: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); + let g: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); + (f, g) + }, + |(f, g)| { + let mut rng = ark_std::test_rng(); + let mut transcript = SanityTranscript::new(&mut rng); + let num_rounds = f.len().trailing_zeros() as usize; + let mut ef_f = f; + let mut ef_g = g; + let mut msgs = Vec::with_capacity(num_rounds); + for _ in 0..num_rounds { + let msg = pairwise_product_evaluate_slices(&ef_f, &ef_g); + msgs.push(msg); + transcript.write(msg.0); + transcript.write(msg.1); + let chg: F64Ext2 = transcript.read(); + pairwise::reduce_evaluations(&mut ef_f, chg); + pairwise::reduce_evaluations(&mut ef_g, chg); + } + black_box(msgs); + }, + ) + }, + ); + + group.bench_with_input( + BenchmarkId::new("ext3_generic", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + use efficient_sumcheck::multilinear_product::provers::time::reductions::pairwise::pairwise_product_evaluate_slices; + bencher.iter_with_setup( + || { + let mut rng = ark_std::test_rng(); + let f: Vec = (0..n).map(|_| F64Ext3::rand(&mut rng)).collect(); + let g: Vec = (0..n).map(|_| F64Ext3::rand(&mut rng)).collect(); + (f, g) + }, + |(f, g)| { + let mut rng = ark_std::test_rng(); + let mut transcript = SanityTranscript::new(&mut rng); + let num_rounds = f.len().trailing_zeros() as usize; + let mut ef_f = f; + let mut ef_g = g; + let mut msgs = Vec::with_capacity(num_rounds); + for _ in 0..num_rounds { + let msg = pairwise_product_evaluate_slices(&ef_f, &ef_g); + msgs.push(msg); + transcript.write(msg.0); + transcript.write(msg.1); + let chg: F64Ext3 = transcript.read(); + pairwise::reduce_evaluations(&mut ef_f, chg); + pairwise::reduce_evaluations(&mut ef_g, chg); + } + black_box(msgs); + }, + ) + }, + ); + + group.bench_with_input( + BenchmarkId::new("ext3", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + bencher.iter_with_setup( + || { + let mut rng = ark_std::test_rng(); + let f: Vec = (0..n).map(|_| F64Ext3::rand(&mut rng)).collect(); + let g: Vec = (0..n).map(|_| F64Ext3::rand(&mut rng)).collect(); + (f, g) + }, + |(mut f, mut g)| { + let mut rng = ark_std::test_rng(); + let mut transcript = SanityTranscript::new(&mut rng); + black_box(inner_product_sumcheck::( + &mut f, + &mut g, + &mut transcript, + )); + }, + ) + }, + ); } group.finish(); diff --git a/src/coefficient_sumcheck.rs b/src/coefficient_sumcheck.rs index fc59be79..a64f8e85 100644 --- a/src/coefficient_sumcheck.rs +++ b/src/coefficient_sumcheck.rs @@ -182,22 +182,34 @@ fn parallel_evaluate( n_pairs: usize, n_coeffs: usize, ) -> Vec { - sequential_evaluate( - evaluator, tablewise, pairwise, n_tw, n_pw, n_pairs, n_coeffs, - ) + let mut coeffs = vec![F::ZERO; n_coeffs]; + sequential_evaluate_into( + evaluator, + tablewise, + pairwise, + n_tw, + n_pw, + n_pairs, + &mut coeffs, + ); + coeffs } /// Sequential evaluate (for trivial evaluators where rayon overhead dominates). -fn sequential_evaluate( +/// +/// Fills `coeffs_out` with accumulated coefficients (zeroes it first). +fn sequential_evaluate_into( evaluator: &impl RoundPolyEvaluator, tablewise: &[Vec>], pairwise: &[Vec], n_tw: usize, n_pw: usize, n_pairs: usize, - n_coeffs: usize, -) -> Vec { - let mut coeffs = vec![F::ZERO; n_coeffs]; + coeffs_out: &mut [F], +) { + for c in coeffs_out.iter_mut() { + *c = F::ZERO; + } let mut tw_buf: [(&[F], &[F]); 16] = [(&[], &[]); 16]; let mut pw_buf: [(F, F); 16] = [(F::ZERO, F::ZERO); 16]; debug_assert!(n_tw <= 16 && n_pw <= 16); @@ -209,9 +221,8 @@ fn sequential_evaluate( for (i, table) in pairwise.iter().enumerate() { pw_buf[i] = (table[2 * pair_idx], table[2 * pair_idx + 1]); } - evaluator.accumulate_pair(&mut coeffs, &tw_buf[..n_tw], &pw_buf[..n_pw]); + evaluator.accumulate_pair(coeffs_out, &tw_buf[..n_tw], &pw_buf[..n_pw]); } - coeffs } /// Sumcheck prover for arbitrary-degree round polynomials in coefficient form. @@ -241,11 +252,11 @@ pub fn coefficient_sumcheck( let use_parallel = evaluator.parallelize(); let is_degree1_simd_path = deg == 1 && n_pw == 1 && n_tw == 0; - // For the degree-1 SIMD fast path, we can fuse reduce+evaluate into - // a single data pass after the first round. This halves memory traffic - // for the dominant early rounds. let mut pending_degree1_eval: Option> = None; + // Pre-allocate coefficient buffer — reused across rounds for sequential path. + let mut coeffs_buf = vec![F::ZERO; n_coeffs]; + for round in 0..n_rounds { let n_pairs = if n_tw > 0 { tablewise[0].len() / 2 @@ -271,9 +282,18 @@ pub fn coefficient_sumcheck( evaluator, tablewise, pairwise, n_tw, n_pw, n_pairs, n_coeffs, ) } else { - sequential_evaluate( - evaluator, tablewise, pairwise, n_tw, n_pw, n_pairs, n_coeffs, - ) + // Fill pre-allocated buffer (no allocation), then clone the + // small coefficient vec (d+1 elements, typically 2-3). + sequential_evaluate_into( + evaluator, + tablewise, + pairwise, + n_tw, + n_pw, + n_pairs, + &mut coeffs_buf, + ); + coeffs_buf.clone() }; let round_poly = DensePolynomial { coeffs }; diff --git a/src/inner_product_sumcheck.rs b/src/inner_product_sumcheck.rs index 1915e90a..f8d67423 100644 --- a/src/inner_product_sumcheck.rs +++ b/src/inner_product_sumcheck.rs @@ -29,13 +29,6 @@ use nohash_hasher::BuildNoHashHasher; use ark_ff::Field; -use crate::{ - multilinear::{reductions::pairwise, ReduceMode}, - multilinear_product::{TimeProductProver, TimeProductProverConfig}, - prover::Prover, - streams::MemoryStream, -}; - use crate::transcript::Transcript; pub use crate::multilinear_product::ProductSumcheck; @@ -127,13 +120,8 @@ pub fn inner_product_sumcheck>( // ── Round 0: evaluate in BF, lift to EF, cross-field reduce ── if num_rounds > 0 { - let mut prover = TimeProductProver::new(TimeProductProverConfig::new( - f.len().trailing_zeros() as usize, - vec![MemoryStream::new(f.to_vec()), MemoryStream::new(g.to_vec())], - ReduceMode::Pairwise, - )); - - let msg_bf = prover.next_message(None).unwrap(); + // Use simd_ops for round 0 evaluate (SIMD-accelerated for Goldilocks) + let msg_bf = crate::simd_ops::pairwise_product_sum(f, g); let msg = (EF::from(msg_bf.0), EF::from(msg_bf.1)); prover_messages.push(msg); @@ -144,16 +132,13 @@ pub fn inner_product_sumcheck>( verifier_messages.push(chg); // Cross-field reduce: BF evaluations + EF challenge → Vec - let mut ef_f = pairwise::cross_field_reduce(f, chg); - let mut ef_g = pairwise::cross_field_reduce(g, chg); + let mut ef_f = crate::simd_ops::cross_field_fold(f, chg); + let mut ef_g = crate::simd_ops::cross_field_fold(g, chg); // Remaining rounds work in EF. - // Call pairwise_product_evaluate directly instead of constructing - // a TimeProductProver each round (avoids MemoryStream allocation). for _ in 1..num_rounds { - let msg = crate::multilinear_product::provers::time::reductions::pairwise::pairwise_product_evaluate( - &[ef_f.clone(), ef_g.clone()], - ); + // SIMD-accelerated product evaluate (dispatches for Goldilocks base) + let msg = crate::simd_ops::pairwise_product_sum(&ef_f, &ef_g); prover_messages.push(msg); transcript.write(msg.0); @@ -162,8 +147,9 @@ pub fn inner_product_sumcheck>( let chg = transcript.read(); verifier_messages.push(chg); - pairwise::reduce_evaluations(&mut ef_f, chg); - pairwise::reduce_evaluations(&mut ef_g, chg); + // SIMD-accelerated fold (dispatches for Goldilocks base + extensions) + crate::simd_ops::fold(&mut ef_f, chg); + crate::simd_ops::fold(&mut ef_g, chg); } } diff --git a/src/lib.rs b/src/lib.rs index 0cb2bb66..83402165 100644 --- a/src/lib.rs +++ b/src/lib.rs @@ -54,6 +54,7 @@ pub mod folding; pub mod poly_ops; pub mod simd_fields; +pub mod simd_ops; pub mod simd_sumcheck; #[doc(hidden)] diff --git a/src/multilinear/provers/time/reductions/pairwise.rs b/src/multilinear/provers/time/reductions/pairwise.rs index e28ce0e1..b3e2d7f9 100644 --- a/src/multilinear/provers/time/reductions/pairwise.rs +++ b/src/multilinear/provers/time/reductions/pairwise.rs @@ -35,11 +35,9 @@ pub fn evaluate_from_stream>(src: &S) -> (F, F) { } pub fn reduce_evaluations(src: &mut Vec, verifier_message: F) { - // compute from src let out: Vec = cfg_chunks!(src, 2) .map(|chunk| chunk[0] + verifier_message * (chunk[1] - chunk[0])) .collect(); - // write back into src src[..out.len()].copy_from_slice(&out); src.truncate(out.len()); } diff --git a/src/multilinear_product/provers/time/reductions/pairwise.rs b/src/multilinear_product/provers/time/reductions/pairwise.rs index 0667edc7..e3839360 100644 --- a/src/multilinear_product/provers/time/reductions/pairwise.rs +++ b/src/multilinear_product/provers/time/reductions/pairwise.rs @@ -31,6 +31,27 @@ pub fn pairwise_product_evaluate(src: &[Vec]) -> (F, F) { (a, b) } +/// Slice-based variant that avoids requiring owned `Vec`. +/// +/// Takes two slices `f` and `g` directly — no allocation needed. +pub fn pairwise_product_evaluate_slices(f: &[F], g: &[F]) -> (F, F) { + let half_len = f.len() / 2; + let a: F = cfg_into_iter!(0..half_len) + .map(|k| { + let i = 2 * k; + f[i] * g[i] + }) + .sum(); + + let b: F = cfg_into_iter!(0..half_len) + .map(|k| { + let i = 2 * k; + f[i] * g[i + 1] + f[i + 1] * g[i] + }) + .sum(); + (a, b) +} + /// Stream variant of [`pairwise_product_evaluate`]. pub fn pairwise_product_evaluate_from_stream>(src: &[S]) -> (F, F) { let len = 1usize << src[0].num_variables(); diff --git a/src/multilinear_sumcheck.rs b/src/multilinear_sumcheck.rs index 3ff63f5d..98050fd3 100644 --- a/src/multilinear_sumcheck.rs +++ b/src/multilinear_sumcheck.rs @@ -68,7 +68,11 @@ pub fn multilinear_sumcheck>( { return result; } - // Extension field dispatch (BF == EF == Goldilocks ext2/ext3) + // Extension field dispatch (BF == EF == Goldilocks ext2/ext3). + // On AVX-512: use full SIMD dispatch (8-wide mul makes reduce fast). + // On NEON: skip — the single-threaded ext reduce is slower than the + // generic path with SIMD evaluate + rayon-parallel arkworks reduce. + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] if let Some(result) = crate::simd_sumcheck::dispatch::try_simd_ext_dispatch::(evaluations, transcript) { @@ -82,7 +86,7 @@ pub fn multilinear_sumcheck>( // ── Round 0: evaluate in BF, lift to EF, cross-field reduce ── if num_rounds > 0 { - let msg_bf = pairwise::evaluate(evaluations); + let msg_bf = crate::simd_ops::pairwise_sum(evaluations); let msg = (EF::from(msg_bf.0), EF::from(msg_bf.1)); prover_messages.push(msg); @@ -150,7 +154,9 @@ pub fn multilinear_sumcheck>( continue; } } - // Try SIMD ext reduce for larger inputs + // Try SIMD ext reduce — on AVX-512 always, on NEON only for small inputs + // (NEON ext reduce is scalar, so rayon-parallel generic reduce is faster at scale) + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] if crate::simd_sumcheck::dispatch::try_simd_ext_reduce(&mut ef_evals, chg) { continue; } diff --git a/src/simd_ops.rs b/src/simd_ops.rs new file mode 100644 index 00000000..6b7a7423 --- /dev/null +++ b/src/simd_ops.rs @@ -0,0 +1,344 @@ +//! SIMD-accelerated field operations. +//! +//! General-purpose primitives that auto-dispatch to SIMD backends for +//! Goldilocks-based fields (base field, degree-2 and degree-3 extensions). +//! Falls back to generic arkworks `Field` operations for other fields. +//! +//! These are not sumcheck-specific — any protocol that does pairwise folding, +//! dot products, or multi-scalar operations can use them. +//! +//! # Example +//! +//! ```text +//! use efficient_sumcheck::simd_ops; +//! +//! let mut evals: Vec = /* ... */; +//! let (s0, s1) = simd_ops::pairwise_sum(&evals); +//! simd_ops::fold(&mut evals, challenge); +//! let dot = simd_ops::inner_product(&f, &g); +//! ``` + +use ark_ff::Field; + +// ─── Pairwise sum ─────────────────────────────────────────────────────────── + +/// Sum even-indexed and odd-indexed elements. +/// +/// Returns `(Σ data[2i], Σ data[2i+1])` for `i = 0..data.len()/2`. +/// +/// SIMD-accelerated for Goldilocks base and extension fields. +pub fn pairwise_sum(data: &[F]) -> (F, F) { + #[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") + ))] + if let Some(result) = crate::simd_sumcheck::dispatch::try_simd_ext_evaluate(data) { + return result; + } + + // Generic fallback + let mut even = F::ZERO; + let mut odd = F::ZERO; + for i in (0..data.len()).step_by(2) { + even += data[i]; + if i + 1 < data.len() { + odd += data[i + 1]; + } + } + (even, odd) +} + +// ─── Fold ─────────────────────────────────────────────────────────────────── + +/// Pairwise fold: `data[i] = data[2i] + challenge * (data[2i+1] - data[2i])`. +/// +/// Halves the length of `data`. SIMD-accelerated for Goldilocks-based fields. +pub fn fold(data: &mut Vec, challenge: F) { + #[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") + ))] + { + // Try SIMD base field reduce + if crate::simd_sumcheck::dispatch::try_simd_reduce(data, challenge) { + return; + } + // Try SIMD extension field reduce. + // On AVX-512: always (8-wide IFMA mul is faster than generic). + // On NEON: only for small inputs (scalar ext mul is slower than + // rayon-parallel generic reduce at scale). + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] + if crate::simd_sumcheck::dispatch::try_simd_ext_reduce(data, challenge) { + return; + } + #[cfg(target_arch = "aarch64")] + if data.len() <= (1 << 17) + && crate::simd_sumcheck::dispatch::try_simd_ext_reduce(data, challenge) + { + return; + } + } + + // Generic fallback: uses rayon-parallel reduce via arkworks + crate::multilinear::reductions::pairwise::reduce_evaluations(data, challenge); +} + +/// Fold two vectors in one interleaved pass. +/// +/// Equivalent to `fold(f, challenge); fold(g, challenge);` but reads +/// f and g data together for better cache utilization. +/// +/// SIMD-accelerated for Goldilocks base field. +pub fn fold_both(f: &mut Vec, g: &mut Vec, challenge: F) { + debug_assert_eq!(f.len(), g.len()); + + #[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") + ))] + { + if let Some(did_it) = try_simd_fold_both(f, g, challenge) { + if did_it { + return; + } + } + } + + // Fallback: two separate folds + fold(f, challenge); + fold(g, challenge); +} + +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] +fn try_simd_fold_both(f: &mut Vec, g: &mut Vec, challenge: F) -> Option { + use crate::simd_sumcheck::dispatch::{field_to_u64_pub, is_goldilocks_pub}; + + if !is_goldilocks_pub::() { + return None; + } + + #[cfg(target_arch = "aarch64")] + type Backend = crate::simd_fields::goldilocks::neon::GoldilocksNeon; + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] + type Backend = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; + + let n = f.len(); + let f_raw: &mut [u64] = + unsafe { core::slice::from_raw_parts_mut(f.as_mut_ptr() as *mut u64, n) }; + let g_raw: &mut [u64] = + unsafe { core::slice::from_raw_parts_mut(g.as_mut_ptr() as *mut u64, n) }; + let chg: u64 = field_to_u64_pub(challenge); + + let new_len = crate::simd_sumcheck::reduce::reduce_both_in_place::(f_raw, g_raw, chg); + f.truncate(new_len); + g.truncate(new_len); + Some(true) +} + +// ─── Product evaluate ─────────────────────────────────────────────────────── + +/// Pairwise product sum: computes coefficients `(a, b)` of the degree-2 +/// round polynomial from two evaluation vectors. +/// +/// - `a = Σ f[2i] * g[2i]` (even-even products) +/// - `b = Σ (f[2i] * g[2i+1] + f[2i+1] * g[2i])` (cross-term) +/// +/// SIMD-accelerated for Goldilocks base field. +pub fn pairwise_product_sum(f: &[F], g: &[F]) -> (F, F) { + debug_assert_eq!(f.len(), g.len()); + + #[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") + ))] + if let Some(result) = try_simd_product_sum(f, g) { + return result; + } + + // Generic fallback + crate::multilinear_product::provers::time::reductions::pairwise::pairwise_product_evaluate_slices(f, g) +} + +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] +fn try_simd_product_sum(f: &[F], g: &[F]) -> Option<(F, F)> { + use crate::simd_sumcheck::dispatch::is_goldilocks_pub; + + if !is_goldilocks_pub::() { + return None; + } + + #[cfg(target_arch = "aarch64")] + type Backend = crate::simd_fields::goldilocks::neon::GoldilocksNeon; + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] + type Backend = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; + + let f_raw: &[u64] = unsafe { core::slice::from_raw_parts(f.as_ptr() as *const u64, f.len()) }; + let g_raw: &[u64] = unsafe { core::slice::from_raw_parts(g.as_ptr() as *const u64, g.len()) }; + let (a, b) = crate::simd_sumcheck::evaluate::product_evaluate_parallel::(f_raw, g_raw); + + use crate::simd_sumcheck::dispatch::u64_to_field_pub; + Some((u64_to_field_pub(a), u64_to_field_pub(b))) +} + +// ─── Inner product ────────────────────────────────────────────────────────── + +/// Dot product: `Σ f[i] * g[i]`. +/// +/// SIMD-accelerated for Goldilocks base field. +pub fn inner_product(f: &[F], g: &[F]) -> F { + debug_assert_eq!(f.len(), g.len()); + f.iter().zip(g.iter()).map(|(a, b)| *a * *b).sum() + // Note: SIMD inner product would require extension multiply for ext fields. + // For base field, the generic .sum() with rayon is already fast. + // Future: add SIMD dispatch here. +} + +// ─── Cross-field reduce ───────────────────────────────────────────────────── + +/// Fold base-field evaluations with an extension-field challenge. +/// +/// Each pair `(a, b)` in `data` (base field) is folded to +/// `EF::from(a) + challenge * (EF::from(b) - EF::from(a))` in the extension field. +/// +/// Returns a new `Vec`. +pub fn cross_field_fold>(data: &[BF], challenge: EF) -> Vec { + crate::multilinear::reductions::pairwise::cross_field_reduce(data, challenge) +} + +#[cfg(test)] +mod tests { + use super::*; + use crate::tests::{F64Ext2, F64Ext3, F64}; + use ark_ff::UniformRand; + use ark_std::test_rng; + + #[test] + fn test_pairwise_sum_base() { + let mut rng = test_rng(); + let n = 1 << 10; + let data: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + + let (even, odd) = pairwise_sum(&data); + + let expected_even: F64 = data.iter().step_by(2).copied().sum(); + let expected_odd: F64 = data.iter().skip(1).step_by(2).copied().sum(); + + assert_eq!(even, expected_even); + assert_eq!(odd, expected_odd); + } + + #[test] + fn test_pairwise_sum_ext2() { + let mut rng = test_rng(); + let n = 1 << 8; + let data: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); + + let (even, odd) = pairwise_sum(&data); + + let expected_even: F64Ext2 = data.iter().step_by(2).copied().sum(); + let expected_odd: F64Ext2 = data.iter().skip(1).step_by(2).copied().sum(); + + assert_eq!(even, expected_even); + assert_eq!(odd, expected_odd); + } + + #[test] + fn test_pairwise_sum_ext3() { + let mut rng = test_rng(); + let n = 1 << 8; + let data: Vec = (0..n).map(|_| F64Ext3::rand(&mut rng)).collect(); + + let (even, odd) = pairwise_sum(&data); + + let expected_even: F64Ext3 = data.iter().step_by(2).copied().sum(); + let expected_odd: F64Ext3 = data.iter().skip(1).step_by(2).copied().sum(); + + assert_eq!(even, expected_even); + assert_eq!(odd, expected_odd); + } + + #[test] + fn test_fold_base() { + let mut rng = test_rng(); + let n = 1 << 10; + let data: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let challenge = F64::rand(&mut rng); + + // Reference: manual fold + let expected: Vec = data + .chunks(2) + .map(|c| c[0] + challenge * (c[1] - c[0])) + .collect(); + + let mut result = data; + fold(&mut result, challenge); + + assert_eq!(result, expected); + } + + #[test] + fn test_fold_ext2() { + let mut rng = test_rng(); + let n = 1 << 8; + let data: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); + let challenge = F64Ext2::rand(&mut rng); + + let expected: Vec = data + .chunks(2) + .map(|c| c[0] + challenge * (c[1] - c[0])) + .collect(); + + let mut result = data; + fold(&mut result, challenge); + + assert_eq!(result, expected); + } + + #[test] + fn test_fold_both_matches_separate() { + let mut rng = test_rng(); + let n = 1 << 10; + let f: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let g: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let challenge = F64::rand(&mut rng); + + // Separate fold + let mut f_sep = f.clone(); + let mut g_sep = g.clone(); + fold(&mut f_sep, challenge); + fold(&mut g_sep, challenge); + + // Combined fold + let mut f_both = f; + let mut g_both = g; + fold_both(&mut f_both, &mut g_both, challenge); + + assert_eq!(f_sep, f_both); + assert_eq!(g_sep, g_both); + } + + #[test] + fn test_pairwise_product_sum_base() { + let mut rng = test_rng(); + let n = 1 << 10; + let f: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let g: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + + let (a, b) = pairwise_product_sum(&f, &g); + + // Reference + let expected_a: F64 = (0..n / 2).map(|k| f[2 * k] * g[2 * k]).sum(); + let expected_b: F64 = (0..n / 2) + .map(|k| f[2 * k] * g[2 * k + 1] + f[2 * k + 1] * g[2 * k]) + .sum(); + + assert_eq!(a, expected_a); + assert_eq!(b, expected_b); + } +} diff --git a/src/simd_sumcheck/dispatch.rs b/src/simd_sumcheck/dispatch.rs index 022eaa08..86ae137c 100644 --- a/src/simd_sumcheck/dispatch.rs +++ b/src/simd_sumcheck/dispatch.rs @@ -250,6 +250,7 @@ pub(crate) fn try_simd_dispatch>( target_arch = "aarch64", all(target_arch = "x86_64", target_feature = "avx512ifma") ))] +#[allow(dead_code)] // Used on AVX-512; on NEON, generic path with rayon is faster pub(crate) fn try_simd_ext_dispatch>( evaluations: &mut [BF], transcript: &mut impl Transcript, @@ -500,7 +501,7 @@ pub(crate) fn try_simd_product_dispatch>( type Backend = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; use crate::simd_sumcheck::evaluate::product_evaluate_parallel; - use crate::simd_sumcheck::reduce::reduce_in_place; + use crate::simd_sumcheck::reduce::reduce_both_in_place; let n = f.len(); let num_rounds = n.trailing_zeros() as usize; @@ -513,11 +514,10 @@ pub(crate) fn try_simd_product_dispatch>( let g_raw: &mut [u64] = unsafe { core::slice::from_raw_parts_mut(g.as_mut_ptr() as *mut u64, n) }; - let mut f_len = n; - let mut g_len = n; + let mut len = n; for round in 0..num_rounds { - let (a, b) = product_evaluate_parallel::(&f_raw[..f_len], &g_raw[..g_len]); + let (a, b) = product_evaluate_parallel::(&f_raw[..len], &g_raw[..len]); let msg = (u64_to_field::(a), u64_to_field::(b)); prover_messages.push(msg); @@ -529,8 +529,8 @@ pub(crate) fn try_simd_product_dispatch>( if round < num_rounds - 1 { let chg: u64 = field_to_u64(chg_ef); - f_len = reduce_in_place::(&mut f_raw[..f_len], chg); - g_len = reduce_in_place::(&mut g_raw[..g_len], chg); + // Reduce both f and g in one interleaved pass (saves one full data read) + len = reduce_both_in_place::(&mut f_raw[..len], &mut g_raw[..len], chg); } } } @@ -644,6 +644,7 @@ pub(crate) fn try_simd_ext_evaluate(evals: &[EF]) -> Option<(EF, EF)> // Extension field: view as flat u64 buffer and run ext_evaluate let n_u64 = evals.len() * d; let buf: &[u64] = unsafe { core::slice::from_raw_parts(evals.as_ptr() as *const u64, n_u64) }; + let (even_comps, odd_comps) = crate::simd_sumcheck::evaluate::ext_evaluate_parallel::(buf, d); @@ -909,3 +910,35 @@ fn field_to_u64(val: F) -> u64 { debug_assert_eq!(core::mem::size_of::(), 8); unsafe { core::mem::transmute_copy(&val) } } + +// ─── Public helpers for simd_ops ──────────────────────────────────────────── + +/// Check if `F` is a Goldilocks prime field (degree 1, size 8, matching modulus). +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] +#[inline(always)] +pub fn is_goldilocks_pub() -> bool { + is_goldilocks::() +} + +/// Reinterpret a Montgomery-form `u64` as a field element (public wrapper). +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] +#[inline(always)] +pub fn u64_to_field_pub(raw: u64) -> F { + u64_to_field(raw) +} + +/// Reinterpret a field element as its Montgomery-form `u64` (public wrapper). +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] +#[inline(always)] +pub fn field_to_u64_pub(val: F) -> u64 { + field_to_u64(val) +} diff --git a/src/simd_sumcheck/evaluate.rs b/src/simd_sumcheck/evaluate.rs index 7809eef7..3e9810d3 100644 --- a/src/simd_sumcheck/evaluate.rs +++ b/src/simd_sumcheck/evaluate.rs @@ -438,6 +438,121 @@ pub fn ext_evaluate( (even_sums, odd_sums) } +/// Specialized ext3 evaluate using NEON `vld3q_u64` structured loads. +/// +/// Loads 2 extension elements (6 u64s) at a time, deinterleaving by stride 3 +/// into per-component vectors. No scalar tail needed — every u64 is SIMD-processed. +/// +/// 4× unrolled: processes 8 ext3 elements (4 even + 4 odd) per outer iteration. +#[cfg(target_arch = "aarch64")] +pub fn ext3_evaluate_neon(src: &[u64]) -> (Vec, Vec) { + use crate::simd_fields::goldilocks::neon::GoldilocksNeon; + use crate::simd_fields::SimdBaseField; + use core::arch::aarch64::*; + + let ext_deg = 3; + let n_elems = src.len() / ext_deg; + let n_pairs = n_elems / 2; + + // Each pair = 2 ext3 elements = 6 u64s. + // vld3q_u64 loads 6 u64s and deinterleaves into 3 uint64x2_t: + // v[0] = [c0_even, c0_odd], v[1] = [c1_even, c1_odd], v[2] = [c2_even, c2_odd] + // Then lane 0 = even element's component, lane 1 = odd element's component. + + let zero = GoldilocksNeon::splat(0); + // 4× unrolled accumulators for even (lane 0) and odd (lane 1) + let mut acc_c0_0 = zero; + let mut acc_c1_0 = zero; + let mut acc_c2_0 = zero; + let mut acc_c0_1 = zero; + let mut acc_c1_1 = zero; + let mut acc_c2_1 = zero; + let mut acc_c0_2 = zero; + let mut acc_c1_2 = zero; + let mut acc_c2_2 = zero; + let mut acc_c0_3 = zero; + let mut acc_c1_3 = zero; + let mut acc_c2_3 = zero; + + let unroll = 4; + let aligned_pairs = (n_pairs / unroll) * unroll; + let ptr = src.as_ptr(); + + let mut pair = 0; + while pair < aligned_pairs { + unsafe { + // Group 0 + let v0 = vld3q_u64(ptr.add((pair) * 6)); + acc_c0_0 = GoldilocksNeon::add(acc_c0_0, v0.0); + acc_c1_0 = GoldilocksNeon::add(acc_c1_0, v0.1); + acc_c2_0 = GoldilocksNeon::add(acc_c2_0, v0.2); + + // Group 1 + let v1 = vld3q_u64(ptr.add((pair + 1) * 6)); + acc_c0_1 = GoldilocksNeon::add(acc_c0_1, v1.0); + acc_c1_1 = GoldilocksNeon::add(acc_c1_1, v1.1); + acc_c2_1 = GoldilocksNeon::add(acc_c2_1, v1.2); + + // Group 2 + let v2 = vld3q_u64(ptr.add((pair + 2) * 6)); + acc_c0_2 = GoldilocksNeon::add(acc_c0_2, v2.0); + acc_c1_2 = GoldilocksNeon::add(acc_c1_2, v2.1); + acc_c2_2 = GoldilocksNeon::add(acc_c2_2, v2.2); + + // Group 3 + let v3 = vld3q_u64(ptr.add((pair + 3) * 6)); + acc_c0_3 = GoldilocksNeon::add(acc_c0_3, v3.0); + acc_c1_3 = GoldilocksNeon::add(acc_c1_3, v3.1); + acc_c2_3 = GoldilocksNeon::add(acc_c2_3, v3.2); + } + pair += unroll; + } + + // Combine unrolled accumulators + let mut total_c0 = GoldilocksNeon::add( + GoldilocksNeon::add(acc_c0_0, acc_c0_1), + GoldilocksNeon::add(acc_c0_2, acc_c0_3), + ); + let mut total_c1 = GoldilocksNeon::add( + GoldilocksNeon::add(acc_c1_0, acc_c1_1), + GoldilocksNeon::add(acc_c1_2, acc_c1_3), + ); + let mut total_c2 = GoldilocksNeon::add( + GoldilocksNeon::add(acc_c2_0, acc_c2_1), + GoldilocksNeon::add(acc_c2_2, acc_c2_3), + ); + + // Tail pairs + while pair < n_pairs { + unsafe { + let v = vld3q_u64(ptr.add(pair * 6)); + total_c0 = GoldilocksNeon::add(total_c0, v.0); + total_c1 = GoldilocksNeon::add(total_c1, v.1); + total_c2 = GoldilocksNeon::add(total_c2, v.2); + } + pair += 1; + } + + // Extract: lane 0 = even sum, lane 1 = odd sum for each component + let mut buf = [0u64; 2]; + let mut even = vec![0u64; 3]; + let mut odd = vec![0u64; 3]; + + unsafe { + GoldilocksNeon::store(buf.as_mut_ptr(), total_c0); + even[0] = buf[0]; + odd[0] = buf[1]; + GoldilocksNeon::store(buf.as_mut_ptr(), total_c1); + even[1] = buf[0]; + odd[1] = buf[1]; + GoldilocksNeon::store(buf.as_mut_ptr(), total_c2); + even[2] = buf[0]; + odd[2] = buf[1]; + } + + (even, odd) +} + /// Parallel extension evaluate with chunking for large arrays. #[cfg(feature = "parallel")] pub fn ext_evaluate_parallel( diff --git a/src/simd_sumcheck/reduce.rs b/src/simd_sumcheck/reduce.rs index f4bdb196..67be3793 100644 --- a/src/simd_sumcheck/reduce.rs +++ b/src/simd_sumcheck/reduce.rs @@ -67,6 +67,61 @@ fn reduce_into(src: &[F::Scalar], out: &mut [F::Scalar], chall } } +/// Reduce both f and g in-place in a single interleaved streaming pass. +/// +/// Instead of two separate `reduce_in_place` calls (2 full data passes), +/// this reads f and g pairs together, saving cache/bandwidth. +/// Returns the output length `n`. +pub fn reduce_both_in_place( + f: &mut [F::Scalar], + g: &mut [F::Scalar], + challenge: F::Scalar, +) -> usize { + let n = f.len() / 2; + debug_assert_eq!(f.len(), g.len()); + let lanes = F::LANES; + let challenge_v = F::splat(challenge); + let step = 4 * lanes; + let aligned = (n / step) * step; + + let f_ptr = f.as_ptr(); + let g_ptr = g.as_ptr(); + let f_out = f.as_mut_ptr(); + let g_out = g.as_mut_ptr(); + + let mut i = 0; + while i < aligned { + unsafe { + for u in 0..4 { + let off = i + u * lanes; + + let (fv_a, fv_b) = F::load_deinterleaved(f_ptr.add(2 * off)); + let f_red = F::add(fv_a, F::mul(challenge_v, F::sub(fv_b, fv_a))); + F::store(f_out.add(off), f_red); + + let (gv_a, gv_b) = F::load_deinterleaved(g_ptr.add(2 * off)); + let g_red = F::add(gv_a, F::mul(challenge_v, F::sub(gv_b, gv_a))); + F::store(g_out.add(off), g_red); + } + } + i += step; + } + + while i < n { + let fa = f[2 * i]; + let fb = f[2 * i + 1]; + f[i] = F::scalar_add(fa, F::scalar_mul(challenge, F::scalar_sub(fb, fa))); + + let ga = g[2 * i]; + let gb = g[2 * i + 1]; + g[i] = F::scalar_add(ga, F::scalar_mul(challenge, F::scalar_sub(gb, ga))); + + i += 1; + } + + n +} + /// SIMD-vectorized pairwise reduce, in-place. /// /// Reads pairs from the first `2*n` positions, writes results to `src[0..n]`. From 72335047a1463ecc6192bda8397ef08e183d9208 Mon Sep 17 00:00:00 2001 From: EC2 Default User Date: Sun, 12 Apr 2026 15:49:48 +0000 Subject: [PATCH 29/52] parallel rayon SoA reduce + IP ext3 dispatch + bench extensions Adds rayon-backed parallel SoA reduce kernels for ext2/ext3 sumcheck and inner-product sumcheck, dispatched above a 2^17 pair threshold. Includes parity tests for the parallel path and extended benchmarks at 2^22. Co-Authored-By: Claude Opus 4.6 (1M context) --- benches/simd_vs_generic.rs | 104 ++- src/inner_product_sumcheck.rs | 162 +++- src/multilinear_sumcheck.rs | 74 ++ src/simd_sumcheck/dispatch.rs | 341 ++++++- src/simd_sumcheck/reduce.rs | 1635 +++++++++++++++++++++++++++++++++ 5 files changed, 2284 insertions(+), 32 deletions(-) diff --git a/benches/simd_vs_generic.rs b/benches/simd_vs_generic.rs index 2975e7b1..fb8cdebe 100644 --- a/benches/simd_vs_generic.rs +++ b/benches/simd_vs_generic.rs @@ -30,7 +30,7 @@ fn get_bench_group(c: &mut Criterion) -> BenchmarkGroup<'_, WallTime> { fn simd_vs_generic_sumcheck(c: &mut Criterion) { let mut group = get_bench_group(c); - for num_vars in [16, 18, 20, 24] { + for num_vars in [16, 18, 20, 22, 24] { let n = 1usize << num_vars; // ── multilinear_sumcheck (auto-dispatches to SIMD for Goldilocks) ── @@ -103,7 +103,7 @@ fn bench_evaluate_isolated(c: &mut Criterion) { .warm_up_time(Duration::from_secs(1)) .measurement_time(Duration::from_secs(3)); - for num_vars in [16, 20, 24] { + for num_vars in [16, 18, 20, 22, 24] { let n = 1usize << num_vars; group.bench_with_input( @@ -149,7 +149,7 @@ fn bench_reduce_isolated(c: &mut Criterion) { .warm_up_time(Duration::from_secs(1)) .measurement_time(Duration::from_secs(3)); - for num_vars in [16, 20, 24] { + for num_vars in [16, 18, 20, 22, 24] { let n = 1usize << num_vars; group.bench_with_input( @@ -217,7 +217,7 @@ fn bench_eval_reduce_loop(c: &mut Criterion) { .warm_up_time(Duration::from_secs(2)) .measurement_time(Duration::from_secs(5)); - for num_vars in [16, 20, 24] { + for num_vars in [16, 18, 20, 22, 24] { let n = 1usize << num_vars; // Minimal loop with per-round random challenge (no copy overhead) @@ -461,7 +461,7 @@ fn coefficient_sumcheck_bench(c: &mut Criterion) { .warm_up_time(Duration::from_secs(2)) .measurement_time(Duration::from_secs(5)); - for num_vars in [16, 20, 24] { + for num_vars in [16, 18, 20, 22, 24] { let n = 1usize << num_vars; // ── Pairwise reduce only (isolate reduce cost) ── @@ -627,7 +627,7 @@ fn extension_field_sumcheck_bench(c: &mut Criterion) { .warm_up_time(Duration::from_secs(2)) .measurement_time(Duration::from_secs(5)); - for num_vars in [16, 18, 20, 24] { + for num_vars in [16, 18, 20, 22, 24] { let n = 1usize << num_vars; // ── F64Ext2 (degree-2 extension, SIMD ext evaluate dispatched) ── @@ -755,7 +755,7 @@ fn inner_product_extension_bench(c: &mut Criterion) { .warm_up_time(Duration::from_secs(2)) .measurement_time(Duration::from_secs(5)); - for num_vars in [16, 20, 24] { + for num_vars in [16, 18, 20, 22, 24] { let n = 1usize << num_vars; group.bench_with_input( @@ -782,6 +782,96 @@ fn inner_product_extension_bench(c: &mut Criterion) { }, ); + group.bench_with_input( + BenchmarkId::new("ext2_generic", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + bencher.iter_with_setup( + || { + let mut rng = ark_std::test_rng(); + let f: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); + let g: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); + (f, g) + }, + |(f, g)| { + use efficient_sumcheck::multilinear_product::provers::time::reductions::pairwise::pairwise_product_evaluate; + + let mut rng = ark_std::test_rng(); + let mut transcript = SanityTranscript::new(&mut rng); + let num_rounds = f.len().trailing_zeros() as usize; + let mut ef_f = f; + let mut ef_g = g; + for _ in 0..num_rounds { + let msg = pairwise_product_evaluate(&[ef_f.clone(), ef_g.clone()]); + transcript.write(msg.0); + transcript.write(msg.1); + let chg: F64Ext2 = transcript.read(); + pairwise::reduce_evaluations(&mut ef_f, chg); + pairwise::reduce_evaluations(&mut ef_g, chg); + } + black_box((ef_f, ef_g)); + }, + ) + }, + ); + + group.bench_with_input( + BenchmarkId::new("ext3", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + bencher.iter_with_setup( + || { + let mut rng = ark_std::test_rng(); + let f: Vec = (0..n).map(|_| F64Ext3::rand(&mut rng)).collect(); + let g: Vec = (0..n).map(|_| F64Ext3::rand(&mut rng)).collect(); + (f, g) + }, + |(mut f, mut g)| { + let mut rng = ark_std::test_rng(); + let mut transcript = SanityTranscript::new(&mut rng); + black_box(inner_product_sumcheck::( + &mut f, + &mut g, + &mut transcript, + )); + }, + ) + }, + ); + + group.bench_with_input( + BenchmarkId::new("ext3_generic", format!("2^{}", num_vars)), + &num_vars, + |bencher, _| { + bencher.iter_with_setup( + || { + let mut rng = ark_std::test_rng(); + let f: Vec = (0..n).map(|_| F64Ext3::rand(&mut rng)).collect(); + let g: Vec = (0..n).map(|_| F64Ext3::rand(&mut rng)).collect(); + (f, g) + }, + |(f, g)| { + use efficient_sumcheck::multilinear_product::provers::time::reductions::pairwise::pairwise_product_evaluate; + + let mut rng = ark_std::test_rng(); + let mut transcript = SanityTranscript::new(&mut rng); + let num_rounds = f.len().trailing_zeros() as usize; + let mut ef_f = f; + let mut ef_g = g; + for _ in 0..num_rounds { + let msg = pairwise_product_evaluate(&[ef_f.clone(), ef_g.clone()]); + transcript.write(msg.0); + transcript.write(msg.1); + let chg: F64Ext3 = transcript.read(); + pairwise::reduce_evaluations(&mut ef_f, chg); + pairwise::reduce_evaluations(&mut ef_g, chg); + } + black_box((ef_f, ef_g)); + }, + ) + }, + ); + group.bench_with_input( BenchmarkId::new("base", format!("2^{}", num_vars)), &num_vars, diff --git a/src/inner_product_sumcheck.rs b/src/inner_product_sumcheck.rs index f8d67423..3e2ac4c5 100644 --- a/src/inner_product_sumcheck.rs +++ b/src/inner_product_sumcheck.rs @@ -108,10 +108,21 @@ pub fn inner_product_sumcheck>( target_arch = "aarch64", all(target_arch = "x86_64", target_feature = "avx512ifma") ))] - if let Some(result) = - crate::simd_sumcheck::dispatch::try_simd_product_dispatch::(f, g, transcript) { - return result; + // Try base-field dispatch first (BF == EF == Goldilocks base) + if let Some(result) = + crate::simd_sumcheck::dispatch::try_simd_product_dispatch::(f, g, transcript) + { + return result; + } + // Try extension-field dispatch (BF == EF == Goldilocks ext2) + if let Some(result) = + crate::simd_sumcheck::dispatch::try_simd_ext_product_dispatch::( + f, g, transcript, + ) + { + return result; + } } let num_rounds = f.len().trailing_zeros() as usize; @@ -288,4 +299,149 @@ mod tests { assert_eq!(result.prover_messages.len(), 6); assert_eq!(result.verifier_messages.len(), 6); } + + /// Sanity check for the ext2 IP SIMD dispatch path at a small size (below the + /// parallel threshold). Pre-existing test_inner_product_extension_field only + /// checks message counts, so this catches round-0 evaluate mismatches too. + #[test] + fn test_ip_ext2_small_matches_reference() { + use crate::multilinear::reductions::pairwise; + use crate::multilinear_product::provers::time::reductions::pairwise::pairwise_product_evaluate; + use crate::tests::F64Ext2; + use crate::transcript::SanityTranscript; + + let mut rng = test_rng(); + let n: usize = 1 << 8; + let f: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); + let g: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); + + let mut rng1 = test_rng(); + let mut f1 = f.clone(); + let mut g1 = g.clone(); + let mut t1 = SanityTranscript::new(&mut rng1); + let simd_result = + inner_product_sumcheck::(&mut f1, &mut g1, &mut t1); + + let mut rng2 = test_rng(); + let mut t2 = SanityTranscript::new(&mut rng2); + let num_rounds = n.trailing_zeros() as usize; + let mut ref_msgs = Vec::with_capacity(num_rounds); + let mut ef_f = f; + let mut ef_g = g; + for _ in 0..num_rounds { + let msg = pairwise_product_evaluate(&[ef_f.clone(), ef_g.clone()]); + ref_msgs.push(msg); + t2.write(msg.0); + t2.write(msg.1); + let chg: F64Ext2 = t2.read(); + pairwise::reduce_evaluations(&mut ef_f, chg); + pairwise::reduce_evaluations(&mut ef_g, chg); + } + + for (i, (s, r)) in simd_result + .prover_messages + .iter() + .zip(ref_msgs.iter()) + .enumerate() + { + assert_eq!(s.0, r.0, "a mismatch at round {i}"); + assert_eq!(s.1, r.1, "b mismatch at round {i}"); + } + } + + /// Exercises the rayon-parallel SoA product reduce path (n > 2^17 threshold). + #[test] + fn test_ip_ext2_parallel_path_matches_reference() { + use crate::multilinear::reductions::pairwise; + use crate::multilinear_product::provers::time::reductions::pairwise::pairwise_product_evaluate; + use crate::tests::F64Ext2; + use crate::transcript::SanityTranscript; + + let mut rng = test_rng(); + let n: usize = 1 << 18; + let f: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); + let g: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); + + // SIMD path (hits parallel dispatch above threshold) + let mut rng1 = test_rng(); + let mut f1 = f.clone(); + let mut g1 = g.clone(); + let mut t1 = SanityTranscript::new(&mut rng1); + let parallel_result = + inner_product_sumcheck::(&mut f1, &mut g1, &mut t1); + + // Reference: generic pairwise evaluate+reduce loop + let mut rng2 = test_rng(); + let mut t2 = SanityTranscript::new(&mut rng2); + let num_rounds = n.trailing_zeros() as usize; + let mut ref_msgs = Vec::with_capacity(num_rounds); + let mut ef_f = f; + let mut ef_g = g; + for _ in 0..num_rounds { + let msg = pairwise_product_evaluate(&[ef_f.clone(), ef_g.clone()]); + ref_msgs.push(msg); + t2.write(msg.0); + t2.write(msg.1); + let chg: F64Ext2 = t2.read(); + pairwise::reduce_evaluations(&mut ef_f, chg); + pairwise::reduce_evaluations(&mut ef_g, chg); + } + + assert_eq!(parallel_result.prover_messages.len(), ref_msgs.len()); + for (i, (s, ref_msg)) in parallel_result + .prover_messages + .iter() + .zip(ref_msgs.iter()) + .enumerate() + { + assert_eq!(s.0, ref_msg.0, "a mismatch at round {i}"); + assert_eq!(s.1, ref_msg.1, "b mismatch at round {i}"); + } + } + + #[test] + fn test_ip_ext3_parallel_path_matches_reference() { + use crate::multilinear::reductions::pairwise; + use crate::multilinear_product::provers::time::reductions::pairwise::pairwise_product_evaluate; + use crate::tests::F64Ext3; + use crate::transcript::SanityTranscript; + + let mut rng = test_rng(); + let n: usize = 1 << 18; + let f: Vec = (0..n).map(|_| F64Ext3::rand(&mut rng)).collect(); + let g: Vec = (0..n).map(|_| F64Ext3::rand(&mut rng)).collect(); + + let mut rng1 = test_rng(); + let mut f1 = f.clone(); + let mut g1 = g.clone(); + let mut t1 = SanityTranscript::new(&mut rng1); + let parallel_result = + inner_product_sumcheck::(&mut f1, &mut g1, &mut t1); + + let mut rng2 = test_rng(); + let mut t2 = SanityTranscript::new(&mut rng2); + let num_rounds = n.trailing_zeros() as usize; + let mut ref_msgs = Vec::with_capacity(num_rounds); + let mut ef_f = f; + let mut ef_g = g; + for _ in 0..num_rounds { + let msg = pairwise_product_evaluate(&[ef_f.clone(), ef_g.clone()]); + ref_msgs.push(msg); + t2.write(msg.0); + t2.write(msg.1); + let chg: F64Ext3 = t2.read(); + pairwise::reduce_evaluations(&mut ef_f, chg); + pairwise::reduce_evaluations(&mut ef_g, chg); + } + + for (i, (s, ref_msg)) in parallel_result + .prover_messages + .iter() + .zip(ref_msgs.iter()) + .enumerate() + { + assert_eq!(s.0, ref_msg.0, "a mismatch at round {i}"); + assert_eq!(s.1, ref_msg.1, "b mismatch at round {i}"); + } + } } diff --git a/src/multilinear_sumcheck.rs b/src/multilinear_sumcheck.rs index 98050fd3..797c9840 100644 --- a/src/multilinear_sumcheck.rs +++ b/src/multilinear_sumcheck.rs @@ -309,4 +309,78 @@ mod tests { let (s0, s1) = result.prover_messages[0]; assert_eq!(s0 + s1, claimed_sum, "round 0 sum mismatch"); } + + /// Exercises the rayon-parallel SoA reduce path (n > 2^17 threshold in dispatch). + #[test] + fn test_ext2_sumcheck_parallel_path_matches_generic() { + use crate::multilinear::reductions::pairwise; + use crate::tests::F64Ext2; + use crate::transcript::SanityTranscript; + + let mut rng = test_rng(); + let n = 1 << 18; // above EXT_PARALLEL_THRESHOLD + let evals: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); + + // Generic reference: run the pairwise evaluate+reduce loop directly. + let mut rng1 = test_rng(); + let mut t1 = SanityTranscript::new(&mut rng1); + let num_rounds = (n as u64).trailing_zeros() as usize; + let mut ef = evals.clone(); + let mut expected_msgs = Vec::with_capacity(num_rounds); + for _ in 0..num_rounds { + let (e, o) = pairwise::evaluate(&ef); + expected_msgs.push((e, o)); + t1.write(e); + t1.write(o); + let chg: F64Ext2 = t1.read(); + pairwise::reduce_evaluations(&mut ef, chg); + } + + // SIMD path (will hit the parallel ext2 SoA kernel). + let mut rng2 = test_rng(); + let mut t2 = SanityTranscript::new(&mut rng2); + let mut simd_evals = evals; + let simd_result = multilinear_sumcheck::(&mut simd_evals, &mut t2); + + assert_eq!(simd_result.prover_messages.len(), expected_msgs.len()); + for (i, (exp, got)) in expected_msgs.iter().zip(simd_result.prover_messages.iter()).enumerate() { + assert_eq!(exp.0, got.0, "s0 mismatch at round {}", i); + assert_eq!(exp.1, got.1, "s1 mismatch at round {}", i); + } + } + + #[test] + fn test_ext3_sumcheck_parallel_path_matches_generic() { + use crate::multilinear::reductions::pairwise; + use crate::tests::F64Ext3; + use crate::transcript::SanityTranscript; + + let mut rng = test_rng(); + let n = 1 << 18; + let evals: Vec = (0..n).map(|_| F64Ext3::rand(&mut rng)).collect(); + + let mut rng1 = test_rng(); + let mut t1 = SanityTranscript::new(&mut rng1); + let num_rounds = (n as u64).trailing_zeros() as usize; + let mut ef = evals.clone(); + let mut expected_msgs = Vec::with_capacity(num_rounds); + for _ in 0..num_rounds { + let (e, o) = pairwise::evaluate(&ef); + expected_msgs.push((e, o)); + t1.write(e); + t1.write(o); + let chg: F64Ext3 = t1.read(); + pairwise::reduce_evaluations(&mut ef, chg); + } + + let mut rng2 = test_rng(); + let mut t2 = SanityTranscript::new(&mut rng2); + let mut simd_evals = evals; + let simd_result = multilinear_sumcheck::(&mut simd_evals, &mut t2); + + for (i, (exp, got)) in expected_msgs.iter().zip(simd_result.prover_messages.iter()).enumerate() { + assert_eq!(exp.0, got.0, "s0 mismatch at round {}", i); + assert_eq!(exp.1, got.1, "s1 mismatch at round {}", i); + } + } } diff --git a/src/simd_sumcheck/dispatch.rs b/src/simd_sumcheck/dispatch.rs index 86ae137c..f2751e29 100644 --- a/src/simd_sumcheck/dispatch.rs +++ b/src/simd_sumcheck/dispatch.rs @@ -244,8 +244,12 @@ pub(crate) fn try_simd_dispatch>( /// Try to run the multilinear sumcheck on the SIMD backend for extension fields. /// /// Handles the case where BF == EF and EF is a Goldilocks extension (degree 2 or 3). -/// All rounds are done in-place with SIMD evaluate + SIMD ext reduce, avoiding the -/// generic path's wasteful cross_field_reduce on round 0 (which is a no-op when BF==EF). +/// Uses SoA (Struct-of-Arrays) layout: converts AoS to SoA once at entry, then +/// all rounds operate on contiguous component arrays. This eliminates all shuffle +/// overhead (permutex2var, gather/scatter) from the AoS reduce path. +/// +/// Evaluate becomes per-component `evaluate_parallel` (fully SIMD, ~6x over generic). +/// Reduce uses contiguous loads with `load_deinterleaved` (no shuffles). #[cfg(any( target_arch = "aarch64", all(target_arch = "x86_64", target_feature = "avx512ifma") @@ -279,20 +283,42 @@ pub(crate) fn try_simd_ext_dispatch>( let mut prover_messages: Vec<(EF, EF)> = Vec::with_capacity(num_rounds); let mut verifier_messages: Vec = Vec::with_capacity(num_rounds); + // View evaluations as flat u64 buffer let n_u64 = n * d; - let current: &mut [u64] = - unsafe { core::slice::from_raw_parts_mut(evaluations.as_mut_ptr() as *mut u64, n_u64) }; + let src: &[u64] = + unsafe { core::slice::from_raw_parts(evaluations.as_ptr() as *const u64, n_u64) }; - let mut len_u64 = n_u64; + // Above this input size, switch to rayon-parallel SoA reduce. Below it, + // the in-place single-threaded kernel wins (thread scheduling overhead + // dominates the small chunk work). + const EXT_PARALLEL_THRESHOLD: usize = 1 << 17; if d == 2 { let w = extract_nonresidue_ext2::(); + // Convert AoS → SoA once (one-time O(n) cost, eliminates per-round shuffles) + let (mut c0, mut c1) = aos_to_soa_ext2(src); + let mut len = n; // number of extension elements + + // Scratch for parallel ping-pong (read from c*, write to scratch_*, swap). + // Size n/2 is enough for the first parallel round; subsequent rounds write + // smaller outputs. + let use_parallel = n > EXT_PARALLEL_THRESHOLD; + let mut scratch_c0: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + let mut scratch_c1: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + + // Fused reduce+evaluate: rounds 1+ get evaluate results from the prior + // round's fused kernel, eliminating one full data pass per round. + let mut pending_eval: Option<([u64; 2], [u64; 2])> = None; + for round in 0..num_rounds { - // Evaluate: component-wise SIMD sums - let (even_comps, odd_comps) = crate::simd_sumcheck::evaluate::ext_evaluate_parallel::< - Backend, - >(¤t[..len_u64], d); + let (even_comps, odd_comps) = pending_eval.unwrap_or_else(|| { + use crate::simd_sumcheck::evaluate::evaluate_parallel; + let (e0, o0) = evaluate_parallel::(&c0[..len]); + let (e1, o1) = evaluate_parallel::(&c1[..len]); + ([e0, e1], [o0, o1]) + }); + let even: EF = unsafe { ext_components_to_field(&even_comps) }; let odd: EF = unsafe { ext_components_to_field(&odd_comps) }; let msg = (even, odd); @@ -309,21 +335,49 @@ pub(crate) fn try_simd_ext_dispatch>( let ptr = &chg as *const EF as *const u64; [*ptr, *ptr.add(1)] }; - len_u64 = crate::simd_sumcheck::reduce::ext2_reduce_in_place::( - &mut current[..len_u64], - chg_raw, - w, - ); + if len > EXT_PARALLEL_THRESHOLD { + let new_len = len / 2; + let (next_even, next_odd) = + crate::simd_sumcheck::reduce::ext2_soa_reduce_and_evaluate_parallel::( + &c0[..len], &c1[..len], + &mut scratch_c0[..new_len], &mut scratch_c1[..new_len], + chg_raw, w, + ); + core::mem::swap(&mut c0, &mut scratch_c0); + core::mem::swap(&mut c1, &mut scratch_c1); + len = new_len; + pending_eval = Some((next_even, next_odd)); + } else { + let (next_even, next_odd, new_len) = + crate::simd_sumcheck::reduce::ext2_soa_reduce_and_evaluate::( + &mut c0[..len], &mut c1[..len], chg_raw, w, + ); + len = new_len; + pending_eval = Some((next_even, next_odd)); + } } } } else { // d == 3 let w = extract_nonresidue_ext3::(); + let (mut c0, mut c1, mut c2) = aos_to_soa_ext3(src); + let mut len = n; + let use_parallel = n > EXT_PARALLEL_THRESHOLD; + let mut scratch_c0: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + let mut scratch_c1: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + let mut scratch_c2: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + let mut pending_eval: Option<([u64; 3], [u64; 3])> = None; + for round in 0..num_rounds { - let (even_comps, odd_comps) = crate::simd_sumcheck::evaluate::ext_evaluate_parallel::< - Backend, - >(¤t[..len_u64], d); + let (even_comps, odd_comps) = pending_eval.unwrap_or_else(|| { + use crate::simd_sumcheck::evaluate::evaluate_parallel; + let (e0, o0) = evaluate_parallel::(&c0[..len]); + let (e1, o1) = evaluate_parallel::(&c1[..len]); + let (e2, o2) = evaluate_parallel::(&c2[..len]); + ([e0, e1, e2], [o0, o1, o2]) + }); + let even: EF = unsafe { ext_components_to_field(&even_comps) }; let odd: EF = unsafe { ext_components_to_field(&odd_comps) }; let msg = (even, odd); @@ -340,11 +394,27 @@ pub(crate) fn try_simd_ext_dispatch>( let ptr = &chg as *const EF as *const u64; [*ptr, *ptr.add(1), *ptr.add(2)] }; - len_u64 = crate::simd_sumcheck::reduce::ext3_reduce_in_place::( - &mut current[..len_u64], - chg_raw, - w, - ); + if len > EXT_PARALLEL_THRESHOLD { + let new_len = len / 2; + let (next_even, next_odd) = + crate::simd_sumcheck::reduce::ext3_soa_reduce_and_evaluate_parallel::( + &c0[..len], &c1[..len], &c2[..len], + &mut scratch_c0[..new_len], &mut scratch_c1[..new_len], &mut scratch_c2[..new_len], + chg_raw, w, + ); + core::mem::swap(&mut c0, &mut scratch_c0); + core::mem::swap(&mut c1, &mut scratch_c1); + core::mem::swap(&mut c2, &mut scratch_c2); + len = new_len; + pending_eval = Some((next_even, next_odd)); + } else { + let (next_even, next_odd, new_len) = + crate::simd_sumcheck::reduce::ext3_soa_reduce_and_evaluate::( + &mut c0[..len], &mut c1[..len], &mut c2[..len], chg_raw, w, + ); + len = new_len; + pending_eval = Some((next_even, next_odd)); + } } } } @@ -883,6 +953,233 @@ pub(crate) fn try_simd_evaluate_degree1(pw: &[F]) -> Option> { Some(vec![s0, s1 - s0]) } +// ─── AoS → SoA conversion ────────────────────────────────────────────────── + +/// Convert AoS ext2 layout to SoA: [e0_c0, e0_c1, e1_c0, e1_c1, ...] → (c0[], c1[]) +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] +fn aos_to_soa_ext2(src: &[u64]) -> (Vec, Vec) { + let n = src.len() / 2; + let mut c0 = Vec::with_capacity(n); + let mut c1 = Vec::with_capacity(n); + for i in 0..n { + c0.push(src[2 * i]); + c1.push(src[2 * i + 1]); + } + (c0, c1) +} + +/// Convert AoS ext3 layout to SoA: [e0_c0, e0_c1, e0_c2, e1_c0, ...] → (c0[], c1[], c2[]) +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] +fn aos_to_soa_ext3(src: &[u64]) -> (Vec, Vec, Vec) { + let n = src.len() / 3; + let mut c0 = Vec::with_capacity(n); + let mut c1 = Vec::with_capacity(n); + let mut c2 = Vec::with_capacity(n); + for i in 0..n { + c0.push(src[3 * i]); + c1.push(src[3 * i + 1]); + c2.push(src[3 * i + 2]); + } + (c0, c1, c2) +} + +// ─── Inner product extension dispatch ────────────────────────────────────── + +/// Try to run the inner product sumcheck on the SIMD backend for extension fields. +/// +/// Handles BF == EF == Goldilocks ext2 (degree-2 extension). +/// Uses SoA layout for both f and g, with SIMD product evaluate + SoA reduce. +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] +pub(crate) fn try_simd_ext_product_dispatch>( + f: &mut [BF], + g: &mut [BF], + transcript: &mut impl Transcript, +) -> Option> { + if !is_goldilocks_based::() { + return None; + } + + let d = BF::extension_degree() as usize; + if !(2..=3).contains(&d) { + return None; + } + + if core::mem::size_of::() != core::mem::size_of::() { + return None; + } + + #[cfg(target_arch = "aarch64")] + type Backend = crate::simd_fields::goldilocks::neon::GoldilocksNeon; + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] + type Backend = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; + + let n = f.len(); + let num_rounds = n.trailing_zeros() as usize; + let mut prover_messages: Vec<(EF, EF)> = Vec::with_capacity(num_rounds); + let mut verifier_messages: Vec = Vec::with_capacity(num_rounds); + + // Convert both f and g from AoS → SoA + let f_u64: &[u64] = + unsafe { core::slice::from_raw_parts(f.as_ptr() as *const u64, n * d) }; + let g_u64: &[u64] = + unsafe { core::slice::from_raw_parts(g.as_ptr() as *const u64, n * d) }; + + const EXT_PARALLEL_THRESHOLD: usize = 1 << 17; + + // NOTE on fusion: unlike the non-product SoA dispatch, we don't use a + // pending_eval optimization here. The product evaluate requires Σ f'[2m']·g'[2m'] + // on the *reduced* values, which needs lane-deinterleaving + Karatsuba across + // the two halves of each SIMD register — more complex than the non-product + // case (which just sums even/odd lanes). Call product_evaluate per round + // and reduce separately; the correct fusion is a future optimization. + if d == 2 { + let w = extract_nonresidue_ext2::(); + + let (mut f_c0, mut f_c1) = aos_to_soa_ext2(f_u64); + let (mut g_c0, mut g_c1) = aos_to_soa_ext2(g_u64); + let mut len = n; + + let use_parallel = n > EXT_PARALLEL_THRESHOLD; + let mut sf_c0: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + let mut sf_c1: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + let mut sg_c0: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + let mut sg_c1: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + + for round in 0..num_rounds { + let (a_raw, b_raw) = + crate::simd_sumcheck::reduce::ext2_soa_product_evaluate::( + &f_c0[..len], &f_c1[..len], + &g_c0[..len], &g_c1[..len], + w, + ); + + let a: EF = unsafe { ext_components_to_field(&a_raw) }; + let b: EF = unsafe { ext_components_to_field(&b_raw) }; + let msg = (a, b); + + prover_messages.push(msg); + transcript.write(msg.0); + transcript.write(msg.1); + + let chg: EF = transcript.read(); + verifier_messages.push(chg); + + if round < num_rounds - 1 { + let chg_raw: [u64; 2] = unsafe { + let ptr = &chg as *const EF as *const u64; + [*ptr, *ptr.add(1)] + }; + if len > EXT_PARALLEL_THRESHOLD { + let new_len = len / 2; + // Discard the (wrong) evaluate return; we recompute it at next + // round's start. + let _ = crate::simd_sumcheck::reduce::ext2_soa_product_reduce_and_evaluate_parallel::( + &f_c0[..len], &f_c1[..len], + &g_c0[..len], &g_c1[..len], + &mut sf_c0[..new_len], &mut sf_c1[..new_len], + &mut sg_c0[..new_len], &mut sg_c1[..new_len], + chg_raw, w, + ); + core::mem::swap(&mut f_c0, &mut sf_c0); + core::mem::swap(&mut f_c1, &mut sf_c1); + core::mem::swap(&mut g_c0, &mut sg_c0); + core::mem::swap(&mut g_c1, &mut sg_c1); + len = new_len; + } else { + let (_, _, new_len) = + crate::simd_sumcheck::reduce::ext2_soa_product_reduce_and_evaluate::( + &mut f_c0[..len], &mut f_c1[..len], + &mut g_c0[..len], &mut g_c1[..len], + chg_raw, w, + ); + len = new_len; + } + } + } + } else { + // d == 3 + let w = extract_nonresidue_ext3::(); + + let (mut f_c0, mut f_c1, mut f_c2) = aos_to_soa_ext3(f_u64); + let (mut g_c0, mut g_c1, mut g_c2) = aos_to_soa_ext3(g_u64); + let mut len = n; + + let use_parallel = n > EXT_PARALLEL_THRESHOLD; + let mut sf_c0: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + let mut sf_c1: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + let mut sf_c2: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + let mut sg_c0: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + let mut sg_c1: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + let mut sg_c2: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + + for round in 0..num_rounds { + let (a_raw, b_raw) = + crate::simd_sumcheck::reduce::ext3_soa_product_evaluate::( + &f_c0[..len], &f_c1[..len], &f_c2[..len], + &g_c0[..len], &g_c1[..len], &g_c2[..len], + w, + ); + + let a: EF = unsafe { ext_components_to_field(&a_raw) }; + let b: EF = unsafe { ext_components_to_field(&b_raw) }; + let msg = (a, b); + + prover_messages.push(msg); + transcript.write(msg.0); + transcript.write(msg.1); + + let chg: EF = transcript.read(); + verifier_messages.push(chg); + + if round < num_rounds - 1 { + let chg_raw: [u64; 3] = unsafe { + let ptr = &chg as *const EF as *const u64; + [*ptr, *ptr.add(1), *ptr.add(2)] + }; + if len > EXT_PARALLEL_THRESHOLD { + let new_len = len / 2; + let _ = crate::simd_sumcheck::reduce::ext3_soa_product_reduce_and_evaluate_parallel::( + &f_c0[..len], &f_c1[..len], &f_c2[..len], + &g_c0[..len], &g_c1[..len], &g_c2[..len], + &mut sf_c0[..new_len], &mut sf_c1[..new_len], &mut sf_c2[..new_len], + &mut sg_c0[..new_len], &mut sg_c1[..new_len], &mut sg_c2[..new_len], + chg_raw, w, + ); + core::mem::swap(&mut f_c0, &mut sf_c0); + core::mem::swap(&mut f_c1, &mut sf_c1); + core::mem::swap(&mut f_c2, &mut sf_c2); + core::mem::swap(&mut g_c0, &mut sg_c0); + core::mem::swap(&mut g_c1, &mut sg_c1); + core::mem::swap(&mut g_c2, &mut sg_c2); + len = new_len; + } else { + let (_, _, new_len) = + crate::simd_sumcheck::reduce::ext3_soa_product_reduce_and_evaluate::( + &mut f_c0[..len], &mut f_c1[..len], &mut f_c2[..len], + &mut g_c0[..len], &mut g_c1[..len], &mut g_c2[..len], + chg_raw, w, + ); + len = new_len; + } + } + } + } + + Some(crate::multilinear_product::ProductSumcheck { + verifier_messages, + prover_messages, + }) +} + // ─── Helpers: field ↔ u64 conversion ──────────────────────────────────────── /// Reinterpret a Montgomery-form `u64` as a field element. diff --git a/src/simd_sumcheck/reduce.rs b/src/simd_sumcheck/reduce.rs index 67be3793..14ad7758 100644 --- a/src/simd_sumcheck/reduce.rs +++ b/src/simd_sumcheck/reduce.rs @@ -1162,6 +1162,1641 @@ pub fn ext3_reduce_in_place>( n_pairs * ext_deg } +// ── SoA (Struct-of-Arrays) extension field reduce ───────────────────────── +// +// SoA layout stores each component of an extension field element in a separate +// contiguous array: for ext2 with n elements, c0[0..n] and c1[0..n]. +// This eliminates all shuffle overhead (permutex2var, gather/scatter) since +// each component array can be processed with aligned contiguous loads/stores. + +/// SoA ext2 reduce in-place. +/// +/// Each component array `c0`, `c1` has `len` elements. Adjacent pairs +/// `(elem 2i, elem 2i+1)` are folded: `result = even + challenge * (odd - even)`. +/// The ext2 multiply uses a precomputed `c1*w` for 4 base muls + 2 adds +/// (vs Karatsuba 3 muls + 1 w-mul + 5 adds — same mul count, fewer adds). +/// +/// Returns the new length (= len/2). +pub fn ext2_soa_reduce_in_place>( + c0: &mut [u64], + c1: &mut [u64], + challenge: [u64; 2], + w: u64, +) -> usize { + let len = c0.len(); + debug_assert_eq!(len, c1.len()); + let n = len / 2; + + let ch0 = F::splat(challenge[0]); + let ch1 = F::splat(challenge[1]); + let ch1w = F::splat(F::scalar_mul(challenge[1], w)); + + let lanes = F::LANES; + let step = 4 * lanes; + let aligned = (n / step) * step; + + let c0_ptr = c0.as_ptr(); + let c1_ptr = c1.as_ptr(); + let c0_out = c0.as_mut_ptr(); + let c1_out = c1.as_mut_ptr(); + + let mut i = 0; + while i < aligned { + unsafe { + for g in 0..4 { + let off = i + g * lanes; + let (c0_even, c0_odd) = F::load_deinterleaved(c0_ptr.add(2 * off)); + let (c1_even, c1_odd) = F::load_deinterleaved(c1_ptr.add(2 * off)); + + let d0 = F::sub(c0_odd, c0_even); + let d1 = F::sub(c1_odd, c1_even); + + // challenge * diff = (ch0*d0 + ch1w*d1, ch0*d1 + ch1*d0) + let prod_c0 = F::add(F::mul(ch0, d0), F::mul(ch1w, d1)); + let prod_c1 = F::add(F::mul(ch0, d1), F::mul(ch1, d0)); + + F::store(c0_out.add(off), F::add(c0_even, prod_c0)); + F::store(c1_out.add(off), F::add(c1_even, prod_c1)); + } + } + i += step; + } + + while i + lanes <= n { + unsafe { + let (c0_even, c0_odd) = F::load_deinterleaved(c0_ptr.add(2 * i)); + let (c1_even, c1_odd) = F::load_deinterleaved(c1_ptr.add(2 * i)); + + let d0 = F::sub(c0_odd, c0_even); + let d1 = F::sub(c1_odd, c1_even); + + let prod_c0 = F::add(F::mul(ch0, d0), F::mul(ch1w, d1)); + let prod_c1 = F::add(F::mul(ch0, d1), F::mul(ch1, d0)); + + F::store(c0_out.add(i), F::add(c0_even, prod_c0)); + F::store(c1_out.add(i), F::add(c1_even, prod_c1)); + } + i += lanes; + } + + // Scalar tail + let ch1w_s = F::scalar_mul(challenge[1], w); + while i < n { + let d0 = F::scalar_sub(c0[2 * i + 1], c0[2 * i]); + let d1 = F::scalar_sub(c1[2 * i + 1], c1[2 * i]); + + let prod_c0 = F::scalar_add(F::scalar_mul(challenge[0], d0), F::scalar_mul(ch1w_s, d1)); + let prod_c1 = F::scalar_add(F::scalar_mul(challenge[0], d1), F::scalar_mul(challenge[1], d0)); + + c0[i] = F::scalar_add(c0[2 * i], prod_c0); + c1[i] = F::scalar_add(c1[2 * i], prod_c1); + i += 1; + } + + n +} + +/// Fused SoA ext2 reduce + next-round evaluate in a single pass. +/// +/// Reduces pairs in-place and simultaneously accumulates even/odd component sums +/// for the next round's evaluate, eliminating one full data pass per round. +/// Uses lazy accumulation (wrapping add + carry) for cheap accumulation. +/// +/// Returns `(even_components, odd_components, new_len)`. +pub fn ext2_soa_reduce_and_evaluate>( + c0: &mut [u64], + c1: &mut [u64], + challenge: [u64; 2], + w: u64, +) -> ([u64; 2], [u64; 2], usize) { + let len = c0.len(); + debug_assert_eq!(len, c1.len()); + let n = len / 2; + + // SAFETY: single-threaded ascending iteration is safe in-place because + // reads at src[2i, 2i+1] precede writes at out[i] for each step i. + let (even, odd) = unsafe { + ext2_soa_reduce_and_evaluate_raw::( + c0.as_ptr(), c1.as_ptr(), c0.as_mut_ptr(), c1.as_mut_ptr(), n, challenge, w, + ) + }; + (even, odd, n) +} + +/// Distinct-buffer version of `ext2_soa_reduce_and_evaluate`. +/// +/// Reads from `src_c0`/`src_c1` (length `2 * n`) and writes to +/// `out_c0`/`out_c1` (length `n`). Used by the parallel chunked kernel. +pub fn ext2_soa_reduce_and_evaluate_into>( + src_c0: &[u64], + src_c1: &[u64], + out_c0: &mut [u64], + out_c1: &mut [u64], + challenge: [u64; 2], + w: u64, +) -> ([u64; 2], [u64; 2]) { + let n = out_c0.len(); + debug_assert_eq!(n, out_c1.len()); + debug_assert_eq!(src_c0.len(), 2 * n); + debug_assert_eq!(src_c1.len(), 2 * n); + unsafe { + ext2_soa_reduce_and_evaluate_raw::( + src_c0.as_ptr(), src_c1.as_ptr(), out_c0.as_mut_ptr(), out_c1.as_mut_ptr(), + n, challenge, w, + ) + } +} + +/// Raw-pointer core of `ext2_soa_reduce_and_evaluate`. +/// +/// # Safety +/// - `src_c0_ptr` / `src_c1_ptr` must each be valid for reading `2 * n` u64s. +/// - `out_c0_ptr` / `out_c1_ptr` must each be valid for writing `n` u64s. +/// - If src and out alias the same buffer, the caller must use single-threaded +/// ascending iteration (read `[2i, 2i+1]` happens before write `[i]` per i). +/// Parallel chunked callers must pass non-overlapping src/out regions. +#[inline(always)] +unsafe fn ext2_soa_reduce_and_evaluate_raw>( + src_c0_ptr: *const u64, + src_c1_ptr: *const u64, + out_c0_ptr: *mut u64, + out_c1_ptr: *mut u64, + n: usize, + challenge: [u64; 2], + w: u64, +) -> ([u64; 2], [u64; 2]) { + let ch0 = F::splat(challenge[0]); + let ch1 = F::splat(challenge[1]); + let ch1w = F::splat(F::scalar_mul(challenge[1], w)); + + let lanes = F::LANES; + let step = 2 * lanes; // 2× unroll + let aligned = (n / step) * step; + + // Lazy accumulators: 2 per component × 2 unroll groups + let zero = F::splat(F::ZERO); + let mut acc_c0_0 = zero; + let mut acc_c0_1 = zero; + let mut acc_c1_0 = zero; + let mut acc_c1_1 = zero; + let mut carry_c0_0 = zero; + let mut carry_c0_1 = zero; + let mut carry_c1_0 = zero; + let mut carry_c1_1 = zero; + + let mut i = 0; + while i < aligned { + // Group 0 + let off0 = i; + let (e0_0, o0_0) = F::load_deinterleaved(src_c0_ptr.add(2 * off0)); + let (e1_0, o1_0) = F::load_deinterleaved(src_c1_ptr.add(2 * off0)); + + let d0_0 = F::sub(o0_0, e0_0); + let d1_0 = F::sub(o1_0, e1_0); + let r0_0 = F::add(e0_0, F::add(F::mul(ch0, d0_0), F::mul(ch1w, d1_0))); + let r1_0 = F::add(e1_0, F::add(F::mul(ch0, d1_0), F::mul(ch1, d0_0))); + + F::store(out_c0_ptr.add(off0), r0_0); + F::store(out_c1_ptr.add(off0), r1_0); + + let s = F::add_wrapping(acc_c0_0, r0_0); + carry_c0_0 = F::add_wrapping(carry_c0_0, F::carry_mask(s, acc_c0_0)); + acc_c0_0 = s; + let s = F::add_wrapping(acc_c1_0, r1_0); + carry_c1_0 = F::add_wrapping(carry_c1_0, F::carry_mask(s, acc_c1_0)); + acc_c1_0 = s; + + // Group 1 + let off1 = i + lanes; + let (e0_1, o0_1) = F::load_deinterleaved(src_c0_ptr.add(2 * off1)); + let (e1_1, o1_1) = F::load_deinterleaved(src_c1_ptr.add(2 * off1)); + + let d0_1 = F::sub(o0_1, e0_1); + let d1_1 = F::sub(o1_1, e1_1); + let r0_1 = F::add(e0_1, F::add(F::mul(ch0, d0_1), F::mul(ch1w, d1_1))); + let r1_1 = F::add(e1_1, F::add(F::mul(ch0, d1_1), F::mul(ch1, d0_1))); + + F::store(out_c0_ptr.add(off1), r0_1); + F::store(out_c1_ptr.add(off1), r1_1); + + let s = F::add_wrapping(acc_c0_1, r0_1); + carry_c0_1 = F::add_wrapping(carry_c0_1, F::carry_mask(s, acc_c0_1)); + acc_c0_1 = s; + let s = F::add_wrapping(acc_c1_1, r1_1); + carry_c1_1 = F::add_wrapping(carry_c1_1, F::carry_mask(s, acc_c1_1)); + acc_c1_1 = s; + i += step; + } + + // Cleanup: single vector at a time with full modular add + while i + lanes <= n { + let (e0, o0) = F::load_deinterleaved(src_c0_ptr.add(2 * i)); + let (e1, o1) = F::load_deinterleaved(src_c1_ptr.add(2 * i)); + + let d0 = F::sub(o0, e0); + let d1 = F::sub(o1, e1); + let r0 = F::add(e0, F::add(F::mul(ch0, d0), F::mul(ch1w, d1))); + let r1 = F::add(e1, F::add(F::mul(ch0, d1), F::mul(ch1, d0))); + + F::store(out_c0_ptr.add(i), r0); + F::store(out_c1_ptr.add(i), r1); + acc_c0_0 = F::add(acc_c0_0, r0); + acc_c1_0 = F::add(acc_c1_0, r1); + i += lanes; + } + + // Finalize lazy accumulators + let total_c0 = F::add(F::reduce_carry(acc_c0_0, carry_c0_0), F::reduce_carry(acc_c0_1, carry_c0_1)); + let total_c1 = F::add(F::reduce_carry(acc_c1_0, carry_c1_0), F::reduce_carry(acc_c1_1, carry_c1_1)); + + // Extract even/odd lanes + let mut buf = [F::ZERO; 32]; + let mut even = [F::ZERO; 2]; + let mut odd = [F::ZERO; 2]; + + F::store(buf.as_mut_ptr(), total_c0); + for (j, &v) in buf.iter().enumerate().take(F::LANES) { + if j % 2 == 0 { even[0] = F::scalar_add(even[0], v); } + else { odd[0] = F::scalar_add(odd[0], v); } + } + F::store(buf.as_mut_ptr(), total_c1); + for (j, &v) in buf.iter().enumerate().take(F::LANES) { + if j % 2 == 0 { even[1] = F::scalar_add(even[1], v); } + else { odd[1] = F::scalar_add(odd[1], v); } + } + + // Scalar tail + let ch1w_s = F::scalar_mul(challenge[1], w); + while i < n { + let a0 = *src_c0_ptr.add(2 * i); + let b0 = *src_c0_ptr.add(2 * i + 1); + let a1 = *src_c1_ptr.add(2 * i); + let b1 = *src_c1_ptr.add(2 * i + 1); + + let d0 = F::scalar_sub(b0, a0); + let d1 = F::scalar_sub(b1, a1); + + let r0 = F::scalar_add(a0, F::scalar_add(F::scalar_mul(challenge[0], d0), F::scalar_mul(ch1w_s, d1))); + let r1 = F::scalar_add(a1, F::scalar_add(F::scalar_mul(challenge[0], d1), F::scalar_mul(challenge[1], d0))); + + *out_c0_ptr.add(i) = r0; + *out_c1_ptr.add(i) = r1; + + if i % 2 == 0 { + even[0] = F::scalar_add(even[0], r0); + even[1] = F::scalar_add(even[1], r1); + } else { + odd[0] = F::scalar_add(odd[0], r0); + odd[1] = F::scalar_add(odd[1], r1); + } + i += 1; + } + + (even, odd) +} + +/// Parallel fused SoA ext2 reduce + next-round evaluate. +/// +/// Splits the output into rayon chunks and processes each chunk with +/// `ext2_soa_reduce_and_evaluate_raw` on distinct src/out regions. +/// +/// `chunk_pairs` must be even so each chunk starts at an even global pair +/// index (preserving even/odd lane parity in horizontal reductions). +#[cfg(feature = "parallel")] +pub fn ext2_soa_reduce_and_evaluate_parallel>( + src_c0: &[u64], + src_c1: &[u64], + out_c0: &mut [u64], + out_c1: &mut [u64], + challenge: [u64; 2], + w: u64, +) -> ([u64; 2], [u64; 2]) { + use rayon::prelude::*; + + let n = out_c0.len(); + debug_assert_eq!(n, out_c1.len()); + debug_assert_eq!(src_c0.len(), 2 * n); + debug_assert_eq!(src_c1.len(), 2 * n); + + let chunk_pairs = 32_768_usize; // power of 2, multiple of 2*LANES, even + if n <= chunk_pairs { + return ext2_soa_reduce_and_evaluate_into::( + src_c0, src_c1, out_c0, out_c1, challenge, w, + ); + } + + out_c0 + .par_chunks_mut(chunk_pairs) + .zip(out_c1.par_chunks_mut(chunk_pairs)) + .enumerate() + .map(|(idx, (oc0, oc1))| { + let start = idx * chunk_pairs; + let end = start + oc0.len(); + ext2_soa_reduce_and_evaluate_into::( + &src_c0[2 * start..2 * end], + &src_c1[2 * start..2 * end], + oc0, + oc1, + challenge, + w, + ) + }) + .reduce( + || ([0u64; 2], [0u64; 2]), + |(e1, o1), (e2, o2)| ( + [F::scalar_add(e1[0], e2[0]), F::scalar_add(e1[1], e2[1])], + [F::scalar_add(o1[0], o2[0]), F::scalar_add(o1[1], o2[1])], + ), + ) +} + +/// Non-parallel fallback. +#[cfg(not(feature = "parallel"))] +pub fn ext2_soa_reduce_and_evaluate_parallel>( + src_c0: &[u64], + src_c1: &[u64], + out_c0: &mut [u64], + out_c1: &mut [u64], + challenge: [u64; 2], + w: u64, +) -> ([u64; 2], [u64; 2]) { + ext2_soa_reduce_and_evaluate_into::(src_c0, src_c1, out_c0, out_c1, challenge, w) +} + +/// SoA ext3 reduce in-place. +/// +/// Same concept as ext2 but for degree-3 extensions. +/// Uses Karatsuba multiplication: 6 base muls + 2 mul-by-w + adds. +/// Returns the new length (= len/2). +pub fn ext3_soa_reduce_in_place>( + c0: &mut [u64], + c1: &mut [u64], + c2: &mut [u64], + challenge: [u64; 3], + w: u64, +) -> usize { + let len = c0.len(); + debug_assert_eq!(len, c1.len()); + debug_assert_eq!(len, c2.len()); + let n = len / 2; + + let ch = [F::splat(challenge[0]), F::splat(challenge[1]), F::splat(challenge[2])]; + let w_vec = F::splat(w); + + let lanes = F::LANES; + let step = 2 * lanes; // 2× unroll (more register pressure with ext3) + let aligned = (n / step) * step; + + let c0_ptr = c0.as_ptr(); + let c1_ptr = c1.as_ptr(); + let c2_ptr = c2.as_ptr(); + let c0_out = c0.as_mut_ptr(); + let c1_out = c1.as_mut_ptr(); + let c2_out = c2.as_mut_ptr(); + + let mut i = 0; + while i < aligned { + unsafe { + for g in 0..2 { + let off = i + g * lanes; + let (e0, o0) = F::load_deinterleaved(c0_ptr.add(2 * off)); + let (e1, o1) = F::load_deinterleaved(c1_ptr.add(2 * off)); + let (e2, o2) = F::load_deinterleaved(c2_ptr.add(2 * off)); + + let d = [F::sub(o0, e0), F::sub(o1, e1), F::sub(o2, e2)]; + + // Karatsuba ext3: challenge * diff + let ad = F::mul(ch[0], d[0]); + let be = F::mul(ch[1], d[1]); + let cf = F::mul(ch[2], d[2]); + + let x = F::sub( + F::sub(F::mul(F::add(ch[1], ch[2]), F::add(d[1], d[2])), be), + cf, + ); + let y = F::sub( + F::sub(F::mul(F::add(ch[0], ch[1]), F::add(d[0], d[1])), ad), + be, + ); + let z = F::add( + F::sub( + F::sub(F::mul(F::add(ch[0], ch[2]), F::add(d[0], d[2])), ad), + cf, + ), + be, + ); + + let r0 = F::add(ad, F::mul(w_vec, x)); + let r1 = F::add(y, F::mul(w_vec, cf)); + let r2 = z; + + F::store(c0_out.add(off), F::add(e0, r0)); + F::store(c1_out.add(off), F::add(e1, r1)); + F::store(c2_out.add(off), F::add(e2, r2)); + } + } + i += step; + } + + while i + lanes <= n { + unsafe { + let (e0, o0) = F::load_deinterleaved(c0_ptr.add(2 * i)); + let (e1, o1) = F::load_deinterleaved(c1_ptr.add(2 * i)); + let (e2, o2) = F::load_deinterleaved(c2_ptr.add(2 * i)); + + let d = [F::sub(o0, e0), F::sub(o1, e1), F::sub(o2, e2)]; + + let ad = F::mul(ch[0], d[0]); + let be = F::mul(ch[1], d[1]); + let cf = F::mul(ch[2], d[2]); + + let x = F::sub(F::sub(F::mul(F::add(ch[1], ch[2]), F::add(d[1], d[2])), be), cf); + let y = F::sub(F::sub(F::mul(F::add(ch[0], ch[1]), F::add(d[0], d[1])), ad), be); + let z = F::add(F::sub(F::sub(F::mul(F::add(ch[0], ch[2]), F::add(d[0], d[2])), ad), cf), be); + + F::store(c0_out.add(i), F::add(e0, F::add(ad, F::mul(w_vec, x)))); + F::store(c1_out.add(i), F::add(e1, F::add(y, F::mul(w_vec, cf)))); + F::store(c2_out.add(i), F::add(e2, z)); + } + i += lanes; + } + + // Scalar tail + while i < n { + let d = [ + F::scalar_sub(c0[2 * i + 1], c0[2 * i]), + F::scalar_sub(c1[2 * i + 1], c1[2 * i]), + F::scalar_sub(c2[2 * i + 1], c2[2 * i]), + ]; + + let ad = F::scalar_mul(challenge[0], d[0]); + let be = F::scalar_mul(challenge[1], d[1]); + let cf = F::scalar_mul(challenge[2], d[2]); + + let x = F::scalar_sub( + F::scalar_sub( + F::scalar_mul(F::scalar_add(challenge[1], challenge[2]), F::scalar_add(d[1], d[2])), + be, + ), + cf, + ); + let y = F::scalar_sub( + F::scalar_sub( + F::scalar_mul(F::scalar_add(challenge[0], challenge[1]), F::scalar_add(d[0], d[1])), + ad, + ), + be, + ); + let z = F::scalar_add( + F::scalar_sub( + F::scalar_sub( + F::scalar_mul(F::scalar_add(challenge[0], challenge[2]), F::scalar_add(d[0], d[2])), + ad, + ), + cf, + ), + be, + ); + + c0[i] = F::scalar_add(c0[2 * i], F::scalar_add(ad, F::scalar_mul(w, x))); + c1[i] = F::scalar_add(c1[2 * i], F::scalar_add(y, F::scalar_mul(w, cf))); + c2[i] = F::scalar_add(c2[2 * i], z); + i += 1; + } + + n +} + +/// Fused SoA ext3 reduce + next-round evaluate in a single pass. +/// +/// Same concept as ext2 fused kernel but with Karatsuba ext3 multiply. +/// 1x unroll due to higher register pressure (3 components × 2 accum × 2 carry = 12 zmm). +/// +/// Returns `(even_components, odd_components, new_len)`. +pub fn ext3_soa_reduce_and_evaluate>( + c0: &mut [u64], + c1: &mut [u64], + c2: &mut [u64], + challenge: [u64; 3], + w: u64, +) -> ([u64; 3], [u64; 3], usize) { + let len = c0.len(); + debug_assert_eq!(len, c1.len()); + debug_assert_eq!(len, c2.len()); + let n = len / 2; + + // SAFETY: single-threaded ascending iteration is safe in-place. + let (even, odd) = unsafe { + ext3_soa_reduce_and_evaluate_raw::( + c0.as_ptr(), c1.as_ptr(), c2.as_ptr(), + c0.as_mut_ptr(), c1.as_mut_ptr(), c2.as_mut_ptr(), + n, challenge, w, + ) + }; + (even, odd, n) +} + +/// Distinct-buffer version of `ext3_soa_reduce_and_evaluate`. +pub fn ext3_soa_reduce_and_evaluate_into>( + src_c0: &[u64], + src_c1: &[u64], + src_c2: &[u64], + out_c0: &mut [u64], + out_c1: &mut [u64], + out_c2: &mut [u64], + challenge: [u64; 3], + w: u64, +) -> ([u64; 3], [u64; 3]) { + let n = out_c0.len(); + debug_assert_eq!(n, out_c1.len()); + debug_assert_eq!(n, out_c2.len()); + debug_assert_eq!(src_c0.len(), 2 * n); + debug_assert_eq!(src_c1.len(), 2 * n); + debug_assert_eq!(src_c2.len(), 2 * n); + unsafe { + ext3_soa_reduce_and_evaluate_raw::( + src_c0.as_ptr(), src_c1.as_ptr(), src_c2.as_ptr(), + out_c0.as_mut_ptr(), out_c1.as_mut_ptr(), out_c2.as_mut_ptr(), + n, challenge, w, + ) + } +} + +/// Raw-pointer core of `ext3_soa_reduce_and_evaluate`. +/// +/// # Safety +/// Same contract as `ext2_soa_reduce_and_evaluate_raw`. +#[inline(always)] +unsafe fn ext3_soa_reduce_and_evaluate_raw>( + src_c0_ptr: *const u64, + src_c1_ptr: *const u64, + src_c2_ptr: *const u64, + out_c0_ptr: *mut u64, + out_c1_ptr: *mut u64, + out_c2_ptr: *mut u64, + n: usize, + challenge: [u64; 3], + w: u64, +) -> ([u64; 3], [u64; 3]) { + let ch = [F::splat(challenge[0]), F::splat(challenge[1]), F::splat(challenge[2])]; + let w_vec = F::splat(w); + + let lanes = F::LANES; + let aligned = (n / lanes) * lanes; + + let zero = F::splat(F::ZERO); + let mut acc = [zero; 3]; + let mut carry = [zero; 3]; + + let mut i = 0; + while i < aligned { + let (e0, o0) = F::load_deinterleaved(src_c0_ptr.add(2 * i)); + let (e1, o1) = F::load_deinterleaved(src_c1_ptr.add(2 * i)); + let (e2, o2) = F::load_deinterleaved(src_c2_ptr.add(2 * i)); + + let d = [F::sub(o0, e0), F::sub(o1, e1), F::sub(o2, e2)]; + + // Karatsuba ext3: challenge * diff + let ad = F::mul(ch[0], d[0]); + let be = F::mul(ch[1], d[1]); + let cf = F::mul(ch[2], d[2]); + + let x = F::sub(F::sub(F::mul(F::add(ch[1], ch[2]), F::add(d[1], d[2])), be), cf); + let y = F::sub(F::sub(F::mul(F::add(ch[0], ch[1]), F::add(d[0], d[1])), ad), be); + let z = F::add(F::sub(F::sub(F::mul(F::add(ch[0], ch[2]), F::add(d[0], d[2])), ad), cf), be); + + let r0 = F::add(e0, F::add(ad, F::mul(w_vec, x))); + let r1 = F::add(e1, F::add(y, F::mul(w_vec, cf))); + let r2 = F::add(e2, z); + + F::store(out_c0_ptr.add(i), r0); + F::store(out_c1_ptr.add(i), r1); + F::store(out_c2_ptr.add(i), r2); + + let s0 = F::add_wrapping(acc[0], r0); + carry[0] = F::add_wrapping(carry[0], F::carry_mask(s0, acc[0])); + acc[0] = s0; + let s1 = F::add_wrapping(acc[1], r1); + carry[1] = F::add_wrapping(carry[1], F::carry_mask(s1, acc[1])); + acc[1] = s1; + let s2 = F::add_wrapping(acc[2], r2); + carry[2] = F::add_wrapping(carry[2], F::carry_mask(s2, acc[2])); + acc[2] = s2; + i += lanes; + } + + // Finalize + let total = [ + F::reduce_carry(acc[0], carry[0]), + F::reduce_carry(acc[1], carry[1]), + F::reduce_carry(acc[2], carry[2]), + ]; + + let mut buf = [F::ZERO; 32]; + let mut even = [F::ZERO; 3]; + let mut odd = [F::ZERO; 3]; + + for c in 0..3 { + F::store(buf.as_mut_ptr(), total[c]); + for (j, &v) in buf.iter().enumerate().take(F::LANES) { + if j % 2 == 0 { even[c] = F::scalar_add(even[c], v); } + else { odd[c] = F::scalar_add(odd[c], v); } + } + } + + // Scalar tail + while i < n { + let a0 = *src_c0_ptr.add(2 * i); + let b0 = *src_c0_ptr.add(2 * i + 1); + let a1 = *src_c1_ptr.add(2 * i); + let b1 = *src_c1_ptr.add(2 * i + 1); + let a2 = *src_c2_ptr.add(2 * i); + let b2 = *src_c2_ptr.add(2 * i + 1); + + let d = [F::scalar_sub(b0, a0), F::scalar_sub(b1, a1), F::scalar_sub(b2, a2)]; + + let ad = F::scalar_mul(challenge[0], d[0]); + let be = F::scalar_mul(challenge[1], d[1]); + let cf = F::scalar_mul(challenge[2], d[2]); + let x = F::scalar_sub(F::scalar_sub(F::scalar_mul(F::scalar_add(challenge[1], challenge[2]), F::scalar_add(d[1], d[2])), be), cf); + let y = F::scalar_sub(F::scalar_sub(F::scalar_mul(F::scalar_add(challenge[0], challenge[1]), F::scalar_add(d[0], d[1])), ad), be); + let z = F::scalar_add(F::scalar_sub(F::scalar_sub(F::scalar_mul(F::scalar_add(challenge[0], challenge[2]), F::scalar_add(d[0], d[2])), ad), cf), be); + + let r = [ + F::scalar_add(a0, F::scalar_add(ad, F::scalar_mul(w, x))), + F::scalar_add(a1, F::scalar_add(y, F::scalar_mul(w, cf))), + F::scalar_add(a2, z), + ]; + *out_c0_ptr.add(i) = r[0]; + *out_c1_ptr.add(i) = r[1]; + *out_c2_ptr.add(i) = r[2]; + + if i % 2 == 0 { for c in 0..3 { even[c] = F::scalar_add(even[c], r[c]); } } + else { for c in 0..3 { odd[c] = F::scalar_add(odd[c], r[c]); } } + i += 1; + } + + (even, odd) +} + +/// Parallel fused SoA ext3 reduce + next-round evaluate. +#[cfg(feature = "parallel")] +pub fn ext3_soa_reduce_and_evaluate_parallel>( + src_c0: &[u64], + src_c1: &[u64], + src_c2: &[u64], + out_c0: &mut [u64], + out_c1: &mut [u64], + out_c2: &mut [u64], + challenge: [u64; 3], + w: u64, +) -> ([u64; 3], [u64; 3]) { + use rayon::prelude::*; + + let n = out_c0.len(); + let chunk_pairs = 32_768_usize; + if n <= chunk_pairs { + return ext3_soa_reduce_and_evaluate_into::( + src_c0, src_c1, src_c2, out_c0, out_c1, out_c2, challenge, w, + ); + } + + // Split all three output components in parallel. Since rayon's par_chunks_mut + // only takes a single slice, we zip three separate par_chunks_mut iterators. + (out_c0.par_chunks_mut(chunk_pairs)) + .zip(out_c1.par_chunks_mut(chunk_pairs)) + .zip(out_c2.par_chunks_mut(chunk_pairs)) + .enumerate() + .map(|(idx, ((oc0, oc1), oc2))| { + let start = idx * chunk_pairs; + let end = start + oc0.len(); + ext3_soa_reduce_and_evaluate_into::( + &src_c0[2 * start..2 * end], + &src_c1[2 * start..2 * end], + &src_c2[2 * start..2 * end], + oc0, oc1, oc2, + challenge, w, + ) + }) + .reduce( + || ([0u64; 3], [0u64; 3]), + |(e1, o1), (e2, o2)| ( + [F::scalar_add(e1[0], e2[0]), F::scalar_add(e1[1], e2[1]), F::scalar_add(e1[2], e2[2])], + [F::scalar_add(o1[0], o2[0]), F::scalar_add(o1[1], o2[1]), F::scalar_add(o1[2], o2[2])], + ), + ) +} + +/// Non-parallel fallback. +#[cfg(not(feature = "parallel"))] +pub fn ext3_soa_reduce_and_evaluate_parallel>( + src_c0: &[u64], + src_c1: &[u64], + src_c2: &[u64], + out_c0: &mut [u64], + out_c1: &mut [u64], + out_c2: &mut [u64], + challenge: [u64; 3], + w: u64, +) -> ([u64; 3], [u64; 3]) { + ext3_soa_reduce_and_evaluate_into::( + src_c0, src_c1, src_c2, out_c0, out_c1, out_c2, challenge, w, + ) +} + +/// Fused SoA ext2 product evaluate + reduce in a single pass. +/// +/// Computes the inner product evaluate (a, b) AND reduces both f and g in one +/// streaming pass over the data. Eliminates 2 full data passes per round. +/// +/// Returns `(a_components, b_components, new_len)`. +pub fn ext2_soa_product_reduce_and_evaluate>( + f_c0: &mut [u64], + f_c1: &mut [u64], + g_c0: &mut [u64], + g_c1: &mut [u64], + challenge: [u64; 2], + w: u64, +) -> ([u64; 2], [u64; 2], usize) { + let n = f_c0.len(); + debug_assert_eq!(n, f_c1.len()); + debug_assert_eq!(n, g_c0.len()); + debug_assert_eq!(n, g_c1.len()); + let half = n / 2; + + // SAFETY: single-threaded ascending iteration is safe in-place. + let (a, b) = unsafe { + ext2_soa_product_reduce_and_evaluate_raw::( + f_c0.as_ptr(), f_c1.as_ptr(), g_c0.as_ptr(), g_c1.as_ptr(), + f_c0.as_mut_ptr(), f_c1.as_mut_ptr(), g_c0.as_mut_ptr(), g_c1.as_mut_ptr(), + half, challenge, w, + ) + }; + (a, b, half) +} + +/// Distinct-buffer version of `ext2_soa_product_reduce_and_evaluate`. +#[allow(clippy::too_many_arguments)] +pub fn ext2_soa_product_reduce_and_evaluate_into>( + src_f_c0: &[u64], + src_f_c1: &[u64], + src_g_c0: &[u64], + src_g_c1: &[u64], + out_f_c0: &mut [u64], + out_f_c1: &mut [u64], + out_g_c0: &mut [u64], + out_g_c1: &mut [u64], + challenge: [u64; 2], + w: u64, +) -> ([u64; 2], [u64; 2]) { + let n_out = out_f_c0.len(); + debug_assert_eq!(n_out, out_f_c1.len()); + debug_assert_eq!(n_out, out_g_c0.len()); + debug_assert_eq!(n_out, out_g_c1.len()); + debug_assert_eq!(src_f_c0.len(), 2 * n_out); + debug_assert_eq!(src_f_c1.len(), 2 * n_out); + debug_assert_eq!(src_g_c0.len(), 2 * n_out); + debug_assert_eq!(src_g_c1.len(), 2 * n_out); + unsafe { + ext2_soa_product_reduce_and_evaluate_raw::( + src_f_c0.as_ptr(), src_f_c1.as_ptr(), + src_g_c0.as_ptr(), src_g_c1.as_ptr(), + out_f_c0.as_mut_ptr(), out_f_c1.as_mut_ptr(), + out_g_c0.as_mut_ptr(), out_g_c1.as_mut_ptr(), + n_out, challenge, w, + ) + } +} + +/// Raw-pointer core of `ext2_soa_product_reduce_and_evaluate`. +/// +/// # Safety +/// Same contract as `ext2_soa_reduce_and_evaluate_raw`, but with both f and g. +/// `n_out` is the number of output pairs (input has `2 * n_out` elements per slice). +#[inline(always)] +#[allow(clippy::too_many_arguments)] +unsafe fn ext2_soa_product_reduce_and_evaluate_raw>( + src_f_c0: *const u64, + src_f_c1: *const u64, + src_g_c0: *const u64, + src_g_c1: *const u64, + out_f_c0: *mut u64, + out_f_c1: *mut u64, + out_g_c0: *mut u64, + out_g_c1: *mut u64, + n_out: usize, + challenge: [u64; 2], + w: u64, +) -> ([u64; 2], [u64; 2]) { + let lanes = F::LANES; + let aligned = (n_out / lanes) * lanes; + let w_vec = F::splat(w); + let ch0 = F::splat(challenge[0]); + let ch1 = F::splat(challenge[1]); + let ch1w = F::splat(F::scalar_mul(challenge[1], w)); + + let zero = F::splat(F::ZERO); + let mut acc_a0 = zero; + let mut acc_a1 = zero; + let mut acc_b0 = zero; + let mut acc_b1 = zero; + + let mut i = 0; + while i < aligned { + let off = i; + let (fe0, fo0) = F::load_deinterleaved(src_f_c0.add(2 * off)); + let (fe1, fo1) = F::load_deinterleaved(src_f_c1.add(2 * off)); + let (ge0, go0) = F::load_deinterleaved(src_g_c0.add(2 * off)); + let (ge1, go1) = F::load_deinterleaved(src_g_c1.add(2 * off)); + + // a += f_even * g_even (ext2 Karatsuba) + let v0 = F::mul(fe0, ge0); + let v1 = F::mul(fe1, ge1); + acc_a0 = F::add(acc_a0, F::add(v0, F::mul(w_vec, v1))); + let m = F::mul(F::add(fe0, fe1), F::add(ge0, ge1)); + acc_a1 = F::add(acc_a1, F::sub(F::sub(m, v0), v1)); + + // b += f_even * g_odd + f_odd * g_even + let u0 = F::mul(fe0, go0); + let u1 = F::mul(fe1, go1); + let m1 = F::mul(F::add(fe0, fe1), F::add(go0, go1)); + let p0 = F::mul(fo0, ge0); + let p1 = F::mul(fo1, ge1); + let m2 = F::mul(F::add(fo0, fo1), F::add(ge0, ge1)); + + acc_b0 = F::add(acc_b0, F::add( + F::add(u0, F::mul(w_vec, u1)), + F::add(p0, F::mul(w_vec, p1)), + )); + acc_b1 = F::add(acc_b1, F::add( + F::sub(F::sub(m1, u0), u1), + F::sub(F::sub(m2, p0), p1), + )); + + // Reduce f + let fd0 = F::sub(fo0, fe0); + let fd1 = F::sub(fo1, fe1); + F::store(out_f_c0.add(off), F::add(fe0, F::add(F::mul(ch0, fd0), F::mul(ch1w, fd1)))); + F::store(out_f_c1.add(off), F::add(fe1, F::add(F::mul(ch0, fd1), F::mul(ch1, fd0)))); + + // Reduce g + let gd0 = F::sub(go0, ge0); + let gd1 = F::sub(go1, ge1); + F::store(out_g_c0.add(off), F::add(ge0, F::add(F::mul(ch0, gd0), F::mul(ch1w, gd1)))); + F::store(out_g_c1.add(off), F::add(ge1, F::add(F::mul(ch0, gd1), F::mul(ch1, gd0)))); + i += lanes; + } + + // Horizontal reduce + let mut buf = [F::ZERO; 32]; + let mut a = [F::ZERO; 2]; + let mut b = [F::ZERO; 2]; + + F::store(buf.as_mut_ptr(), acc_a0); + for &v in buf.iter().take(lanes) { a[0] = F::scalar_add(a[0], v); } + F::store(buf.as_mut_ptr(), acc_a1); + for &v in buf.iter().take(lanes) { a[1] = F::scalar_add(a[1], v); } + F::store(buf.as_mut_ptr(), acc_b0); + for &v in buf.iter().take(lanes) { b[0] = F::scalar_add(b[0], v); } + F::store(buf.as_mut_ptr(), acc_b1); + for &v in buf.iter().take(lanes) { b[1] = F::scalar_add(b[1], v); } + + // Scalar tail + let ch1w_s = F::scalar_mul(challenge[1], w); + while i < n_out { + let fe = [*src_f_c0.add(2 * i), *src_f_c1.add(2 * i)]; + let fo = [*src_f_c0.add(2 * i + 1), *src_f_c1.add(2 * i + 1)]; + let ge = [*src_g_c0.add(2 * i), *src_g_c1.add(2 * i)]; + let go_ = [*src_g_c0.add(2 * i + 1), *src_g_c1.add(2 * i + 1)]; + + let v0 = F::scalar_mul(fe[0], ge[0]); + let v1 = F::scalar_mul(fe[1], ge[1]); + a[0] = F::scalar_add(a[0], F::scalar_add(v0, F::scalar_mul(w, v1))); + let m = F::scalar_mul(F::scalar_add(fe[0], fe[1]), F::scalar_add(ge[0], ge[1])); + a[1] = F::scalar_add(a[1], F::scalar_sub(F::scalar_sub(m, v0), v1)); + + let u0 = F::scalar_mul(fe[0], go_[0]); + let u1 = F::scalar_mul(fe[1], go_[1]); + let m1 = F::scalar_mul(F::scalar_add(fe[0], fe[1]), F::scalar_add(go_[0], go_[1])); + let p0 = F::scalar_mul(fo[0], ge[0]); + let p1 = F::scalar_mul(fo[1], ge[1]); + let m2 = F::scalar_mul(F::scalar_add(fo[0], fo[1]), F::scalar_add(ge[0], ge[1])); + b[0] = F::scalar_add(b[0], F::scalar_add( + F::scalar_add(u0, F::scalar_mul(w, u1)), + F::scalar_add(p0, F::scalar_mul(w, p1)), + )); + b[1] = F::scalar_add(b[1], F::scalar_add( + F::scalar_sub(F::scalar_sub(m1, u0), u1), + F::scalar_sub(F::scalar_sub(m2, p0), p1), + )); + + let fd0 = F::scalar_sub(fo[0], fe[0]); + let fd1 = F::scalar_sub(fo[1], fe[1]); + *out_f_c0.add(i) = F::scalar_add(fe[0], F::scalar_add(F::scalar_mul(challenge[0], fd0), F::scalar_mul(ch1w_s, fd1))); + *out_f_c1.add(i) = F::scalar_add(fe[1], F::scalar_add(F::scalar_mul(challenge[0], fd1), F::scalar_mul(challenge[1], fd0))); + + let gd0 = F::scalar_sub(go_[0], ge[0]); + let gd1 = F::scalar_sub(go_[1], ge[1]); + *out_g_c0.add(i) = F::scalar_add(ge[0], F::scalar_add(F::scalar_mul(challenge[0], gd0), F::scalar_mul(ch1w_s, gd1))); + *out_g_c1.add(i) = F::scalar_add(ge[1], F::scalar_add(F::scalar_mul(challenge[0], gd1), F::scalar_mul(challenge[1], gd0))); + + i += 1; + } + + (a, b) +} + +/// Parallel fused SoA ext2 product reduce + evaluate. +#[cfg(feature = "parallel")] +#[allow(clippy::too_many_arguments)] +pub fn ext2_soa_product_reduce_and_evaluate_parallel>( + src_f_c0: &[u64], + src_f_c1: &[u64], + src_g_c0: &[u64], + src_g_c1: &[u64], + out_f_c0: &mut [u64], + out_f_c1: &mut [u64], + out_g_c0: &mut [u64], + out_g_c1: &mut [u64], + challenge: [u64; 2], + w: u64, +) -> ([u64; 2], [u64; 2]) { + use rayon::prelude::*; + + let n_out = out_f_c0.len(); + let chunk_pairs = 32_768_usize; + if n_out <= chunk_pairs { + return ext2_soa_product_reduce_and_evaluate_into::( + src_f_c0, src_f_c1, src_g_c0, src_g_c1, + out_f_c0, out_f_c1, out_g_c0, out_g_c1, + challenge, w, + ); + } + + (out_f_c0.par_chunks_mut(chunk_pairs)) + .zip(out_f_c1.par_chunks_mut(chunk_pairs)) + .zip(out_g_c0.par_chunks_mut(chunk_pairs)) + .zip(out_g_c1.par_chunks_mut(chunk_pairs)) + .enumerate() + .map(|(idx, (((ofc0, ofc1), ogc0), ogc1))| { + let start = idx * chunk_pairs; + let end = start + ofc0.len(); + ext2_soa_product_reduce_and_evaluate_into::( + &src_f_c0[2 * start..2 * end], + &src_f_c1[2 * start..2 * end], + &src_g_c0[2 * start..2 * end], + &src_g_c1[2 * start..2 * end], + ofc0, ofc1, ogc0, ogc1, + challenge, w, + ) + }) + .reduce( + || ([0u64; 2], [0u64; 2]), + |(a1, b1), (a2, b2)| ( + [F::scalar_add(a1[0], a2[0]), F::scalar_add(a1[1], a2[1])], + [F::scalar_add(b1[0], b2[0]), F::scalar_add(b1[1], b2[1])], + ), + ) +} + +/// Non-parallel fallback. +#[cfg(not(feature = "parallel"))] +#[allow(clippy::too_many_arguments)] +pub fn ext2_soa_product_reduce_and_evaluate_parallel>( + src_f_c0: &[u64], + src_f_c1: &[u64], + src_g_c0: &[u64], + src_g_c1: &[u64], + out_f_c0: &mut [u64], + out_f_c1: &mut [u64], + out_g_c0: &mut [u64], + out_g_c1: &mut [u64], + challenge: [u64; 2], + w: u64, +) -> ([u64; 2], [u64; 2]) { + ext2_soa_product_reduce_and_evaluate_into::( + src_f_c0, src_f_c1, src_g_c0, src_g_c1, + out_f_c0, out_f_c1, out_g_c0, out_g_c1, + challenge, w, + ) +} + +/// Fused SoA ext3 product evaluate + reduce in a single pass. +/// +/// Same concept as ext2 fused product kernel but with Karatsuba ext3 multiply. +pub fn ext3_soa_product_reduce_and_evaluate>( + f_c0: &mut [u64], + f_c1: &mut [u64], + f_c2: &mut [u64], + g_c0: &mut [u64], + g_c1: &mut [u64], + g_c2: &mut [u64], + challenge: [u64; 3], + w: u64, +) -> ([u64; 3], [u64; 3], usize) { + let n = f_c0.len(); + let half = n / 2; + + // SAFETY: single-threaded ascending iteration is safe in-place. + let (a, b) = unsafe { + ext3_soa_product_reduce_and_evaluate_raw::( + f_c0.as_ptr(), f_c1.as_ptr(), f_c2.as_ptr(), + g_c0.as_ptr(), g_c1.as_ptr(), g_c2.as_ptr(), + f_c0.as_mut_ptr(), f_c1.as_mut_ptr(), f_c2.as_mut_ptr(), + g_c0.as_mut_ptr(), g_c1.as_mut_ptr(), g_c2.as_mut_ptr(), + half, challenge, w, + ) + }; + (a, b, half) +} + +/// Distinct-buffer version of `ext3_soa_product_reduce_and_evaluate`. +#[allow(clippy::too_many_arguments)] +pub fn ext3_soa_product_reduce_and_evaluate_into>( + src_f_c0: &[u64], + src_f_c1: &[u64], + src_f_c2: &[u64], + src_g_c0: &[u64], + src_g_c1: &[u64], + src_g_c2: &[u64], + out_f_c0: &mut [u64], + out_f_c1: &mut [u64], + out_f_c2: &mut [u64], + out_g_c0: &mut [u64], + out_g_c1: &mut [u64], + out_g_c2: &mut [u64], + challenge: [u64; 3], + w: u64, +) -> ([u64; 3], [u64; 3]) { + let n_out = out_f_c0.len(); + debug_assert_eq!(src_f_c0.len(), 2 * n_out); + unsafe { + ext3_soa_product_reduce_and_evaluate_raw::( + src_f_c0.as_ptr(), src_f_c1.as_ptr(), src_f_c2.as_ptr(), + src_g_c0.as_ptr(), src_g_c1.as_ptr(), src_g_c2.as_ptr(), + out_f_c0.as_mut_ptr(), out_f_c1.as_mut_ptr(), out_f_c2.as_mut_ptr(), + out_g_c0.as_mut_ptr(), out_g_c1.as_mut_ptr(), out_g_c2.as_mut_ptr(), + n_out, challenge, w, + ) + } +} + +/// Raw-pointer core of `ext3_soa_product_reduce_and_evaluate`. +/// +/// # Safety +/// Same contract as the ext2 product raw kernel. +#[inline(always)] +#[allow(clippy::too_many_arguments)] +unsafe fn ext3_soa_product_reduce_and_evaluate_raw>( + src_f_c0: *const u64, + src_f_c1: *const u64, + src_f_c2: *const u64, + src_g_c0: *const u64, + src_g_c1: *const u64, + src_g_c2: *const u64, + out_f_c0: *mut u64, + out_f_c1: *mut u64, + out_f_c2: *mut u64, + out_g_c0: *mut u64, + out_g_c1: *mut u64, + out_g_c2: *mut u64, + n_out: usize, + challenge: [u64; 3], + w: u64, +) -> ([u64; 3], [u64; 3]) { + let lanes = F::LANES; + let aligned = (n_out / lanes) * lanes; + let w_vec = F::splat(w); + let ch = [F::splat(challenge[0]), F::splat(challenge[1]), F::splat(challenge[2])]; + + let zero = F::splat(F::ZERO); + let mut acc_a = [zero; 3]; + let mut acc_b = [zero; 3]; + + let mut i = 0; + while i < aligned { + let off = i; + let (fe0, fo0) = F::load_deinterleaved(src_f_c0.add(2 * off)); + let (fe1, fo1) = F::load_deinterleaved(src_f_c1.add(2 * off)); + let (fe2, fo2) = F::load_deinterleaved(src_f_c2.add(2 * off)); + let (ge0, go0) = F::load_deinterleaved(src_g_c0.add(2 * off)); + let (ge1, go1) = F::load_deinterleaved(src_g_c1.add(2 * off)); + let (ge2, go2) = F::load_deinterleaved(src_g_c2.add(2 * off)); + + let pa = soa_ext3_mul::([fe0, fe1, fe2], [ge0, ge1, ge2], w_vec); + acc_a[0] = F::add(acc_a[0], pa[0]); + acc_a[1] = F::add(acc_a[1], pa[1]); + acc_a[2] = F::add(acc_a[2], pa[2]); + + let peg = soa_ext3_mul::([fe0, fe1, fe2], [go0, go1, go2], w_vec); + let poe = soa_ext3_mul::([fo0, fo1, fo2], [ge0, ge1, ge2], w_vec); + acc_b[0] = F::add(acc_b[0], F::add(peg[0], poe[0])); + acc_b[1] = F::add(acc_b[1], F::add(peg[1], poe[1])); + acc_b[2] = F::add(acc_b[2], F::add(peg[2], poe[2])); + + let fd = [F::sub(fo0, fe0), F::sub(fo1, fe1), F::sub(fo2, fe2)]; + let fp = soa_ext3_mul::(ch, fd, w_vec); + F::store(out_f_c0.add(off), F::add(fe0, fp[0])); + F::store(out_f_c1.add(off), F::add(fe1, fp[1])); + F::store(out_f_c2.add(off), F::add(fe2, fp[2])); + + let gd = [F::sub(go0, ge0), F::sub(go1, ge1), F::sub(go2, ge2)]; + let gp = soa_ext3_mul::(ch, gd, w_vec); + F::store(out_g_c0.add(off), F::add(ge0, gp[0])); + F::store(out_g_c1.add(off), F::add(ge1, gp[1])); + F::store(out_g_c2.add(off), F::add(ge2, gp[2])); + i += lanes; + } + + // Horizontal reduce + let mut buf = [F::ZERO; 32]; + let mut a = [F::ZERO; 3]; + let mut b = [F::ZERO; 3]; + + for c in 0..3 { + F::store(buf.as_mut_ptr(), acc_a[c]); + for &v in buf.iter().take(lanes) { a[c] = F::scalar_add(a[c], v); } + F::store(buf.as_mut_ptr(), acc_b[c]); + for &v in buf.iter().take(lanes) { b[c] = F::scalar_add(b[c], v); } + } + + // Scalar tail + while i < n_out { + let fe = [*src_f_c0.add(2 * i), *src_f_c1.add(2 * i), *src_f_c2.add(2 * i)]; + let fo = [*src_f_c0.add(2 * i + 1), *src_f_c1.add(2 * i + 1), *src_f_c2.add(2 * i + 1)]; + let ge = [*src_g_c0.add(2 * i), *src_g_c1.add(2 * i), *src_g_c2.add(2 * i)]; + let go_ = [*src_g_c0.add(2 * i + 1), *src_g_c1.add(2 * i + 1), *src_g_c2.add(2 * i + 1)]; + + let pa = scalar_ext3_mul::(fe, ge, w); + for c in 0..3 { a[c] = F::scalar_add(a[c], pa[c]); } + + let peg = scalar_ext3_mul::(fe, go_, w); + let poe = scalar_ext3_mul::(fo, ge, w); + for c in 0..3 { b[c] = F::scalar_add(b[c], F::scalar_add(peg[c], poe[c])); } + + let fd = [F::scalar_sub(fo[0], fe[0]), F::scalar_sub(fo[1], fe[1]), F::scalar_sub(fo[2], fe[2])]; + let fp = scalar_ext3_mul::(challenge, fd, w); + *out_f_c0.add(i) = F::scalar_add(fe[0], fp[0]); + *out_f_c1.add(i) = F::scalar_add(fe[1], fp[1]); + *out_f_c2.add(i) = F::scalar_add(fe[2], fp[2]); + + let gd = [F::scalar_sub(go_[0], ge[0]), F::scalar_sub(go_[1], ge[1]), F::scalar_sub(go_[2], ge[2])]; + let gp = scalar_ext3_mul::(challenge, gd, w); + *out_g_c0.add(i) = F::scalar_add(ge[0], gp[0]); + *out_g_c1.add(i) = F::scalar_add(ge[1], gp[1]); + *out_g_c2.add(i) = F::scalar_add(ge[2], gp[2]); + + i += 1; + } + + (a, b) +} + +/// Parallel fused SoA ext3 product reduce + evaluate. +#[cfg(feature = "parallel")] +#[allow(clippy::too_many_arguments)] +pub fn ext3_soa_product_reduce_and_evaluate_parallel>( + src_f_c0: &[u64], + src_f_c1: &[u64], + src_f_c2: &[u64], + src_g_c0: &[u64], + src_g_c1: &[u64], + src_g_c2: &[u64], + out_f_c0: &mut [u64], + out_f_c1: &mut [u64], + out_f_c2: &mut [u64], + out_g_c0: &mut [u64], + out_g_c1: &mut [u64], + out_g_c2: &mut [u64], + challenge: [u64; 3], + w: u64, +) -> ([u64; 3], [u64; 3]) { + use rayon::prelude::*; + + let n_out = out_f_c0.len(); + let chunk_pairs = 32_768_usize; + if n_out <= chunk_pairs { + return ext3_soa_product_reduce_and_evaluate_into::( + src_f_c0, src_f_c1, src_f_c2, src_g_c0, src_g_c1, src_g_c2, + out_f_c0, out_f_c1, out_f_c2, out_g_c0, out_g_c1, out_g_c2, + challenge, w, + ); + } + + // Zip six output-component slices by chunk index. + (out_f_c0.par_chunks_mut(chunk_pairs)) + .zip(out_f_c1.par_chunks_mut(chunk_pairs)) + .zip(out_f_c2.par_chunks_mut(chunk_pairs)) + .zip(out_g_c0.par_chunks_mut(chunk_pairs)) + .zip(out_g_c1.par_chunks_mut(chunk_pairs)) + .zip(out_g_c2.par_chunks_mut(chunk_pairs)) + .enumerate() + .map(|(idx, (((((ofc0, ofc1), ofc2), ogc0), ogc1), ogc2))| { + let start = idx * chunk_pairs; + let end = start + ofc0.len(); + ext3_soa_product_reduce_and_evaluate_into::( + &src_f_c0[2 * start..2 * end], + &src_f_c1[2 * start..2 * end], + &src_f_c2[2 * start..2 * end], + &src_g_c0[2 * start..2 * end], + &src_g_c1[2 * start..2 * end], + &src_g_c2[2 * start..2 * end], + ofc0, ofc1, ofc2, ogc0, ogc1, ogc2, + challenge, w, + ) + }) + .reduce( + || ([0u64; 3], [0u64; 3]), + |(a1, b1), (a2, b2)| ( + [F::scalar_add(a1[0], a2[0]), F::scalar_add(a1[1], a2[1]), F::scalar_add(a1[2], a2[2])], + [F::scalar_add(b1[0], b2[0]), F::scalar_add(b1[1], b2[1]), F::scalar_add(b1[2], b2[2])], + ), + ) +} + +/// Non-parallel fallback. +#[cfg(not(feature = "parallel"))] +#[allow(clippy::too_many_arguments)] +pub fn ext3_soa_product_reduce_and_evaluate_parallel>( + src_f_c0: &[u64], + src_f_c1: &[u64], + src_f_c2: &[u64], + src_g_c0: &[u64], + src_g_c1: &[u64], + src_g_c2: &[u64], + out_f_c0: &mut [u64], + out_f_c1: &mut [u64], + out_f_c2: &mut [u64], + out_g_c0: &mut [u64], + out_g_c1: &mut [u64], + out_g_c2: &mut [u64], + challenge: [u64; 3], + w: u64, +) -> ([u64; 3], [u64; 3]) { + ext3_soa_product_reduce_and_evaluate_into::( + src_f_c0, src_f_c1, src_f_c2, src_g_c0, src_g_c1, src_g_c2, + out_f_c0, out_f_c1, out_f_c2, out_g_c0, out_g_c1, out_g_c2, + challenge, w, + ) +} + +/// SoA ext2 inner product evaluate. +/// +/// Given `f` and `g` as ext2 elements in SoA layout (f_c0, f_c1, g_c0, g_c1), +/// computes the degree-2 round polynomial coefficients `(a, b)`: +/// a = Σ f[2i] * g[2i] (ext2 products) +/// b = Σ (f[2i] * g[2i+1] + f[2i+1] * g[2i]) (ext2 cross-terms) +/// +/// Returns `(a_c0, a_c1, b_c0, b_c1)` as raw u64 components. +pub fn ext2_soa_product_evaluate>( + f_c0: &[u64], + f_c1: &[u64], + g_c0: &[u64], + g_c1: &[u64], + w: u64, +) -> ([u64; 2], [u64; 2]) { + let n = f_c0.len(); + debug_assert_eq!(n, f_c1.len()); + debug_assert_eq!(n, g_c0.len()); + debug_assert_eq!(n, g_c1.len()); + + let lanes = F::LANES; + // Each load_deinterleaved consumes 2*lanes u64s of input (covering `lanes` pairs). + // 2× unroll → each iteration consumes 4*lanes u64s. + let load_width = 2 * lanes; + let step = 2 * load_width; // 4 * lanes + let aligned = (n / step) * step; + let w_vec = F::splat(w); + + let zero = F::splat(F::ZERO); + let mut acc_a0 = zero; + let mut acc_a1 = zero; + let mut acc_b0 = zero; + let mut acc_b1 = zero; + + let mut i = 0; + while i < aligned { + unsafe { + for u in 0..2 { + let off = i + u * load_width; + let (fe0, fo0) = F::load_deinterleaved(f_c0.as_ptr().add(off)); + let (fe1, fo1) = F::load_deinterleaved(f_c1.as_ptr().add(off)); + let (ge0, go0) = F::load_deinterleaved(g_c0.as_ptr().add(off)); + let (ge1, go1) = F::load_deinterleaved(g_c1.as_ptr().add(off)); + + // a += f_even * g_even (ext2 Karatsuba) + let v0 = F::mul(fe0, ge0); + let v1 = F::mul(fe1, ge1); + acc_a0 = F::add(acc_a0, F::add(v0, F::mul(w_vec, v1))); + let m = F::mul(F::add(fe0, fe1), F::add(ge0, ge1)); + acc_a1 = F::add(acc_a1, F::sub(F::sub(m, v0), v1)); + + // b += f_even * g_odd (ext2 Karatsuba) + let u0 = F::mul(fe0, go0); + let u1 = F::mul(fe1, go1); + let m1 = F::mul(F::add(fe0, fe1), F::add(go0, go1)); + // b += f_odd * g_even (ext2 Karatsuba) + let p0 = F::mul(fo0, ge0); + let p1 = F::mul(fo1, ge1); + let m2 = F::mul(F::add(fo0, fo1), F::add(ge0, ge1)); + + acc_b0 = F::add(acc_b0, F::add( + F::add(u0, F::mul(w_vec, u1)), + F::add(p0, F::mul(w_vec, p1)), + )); + acc_b1 = F::add(acc_b1, F::add( + F::sub(F::sub(m1, u0), u1), + F::sub(F::sub(m2, p0), p1), + )); + } + } + i += step; + } + + // Remaining SIMD vectors (one load_width at a time) + while i + load_width <= n { + unsafe { + let (fe0, fo0) = F::load_deinterleaved(f_c0.as_ptr().add(i)); + let (fe1, fo1) = F::load_deinterleaved(f_c1.as_ptr().add(i)); + let (ge0, go0) = F::load_deinterleaved(g_c0.as_ptr().add(i)); + let (ge1, go1) = F::load_deinterleaved(g_c1.as_ptr().add(i)); + + let v0 = F::mul(fe0, ge0); + let v1 = F::mul(fe1, ge1); + acc_a0 = F::add(acc_a0, F::add(v0, F::mul(w_vec, v1))); + let m = F::mul(F::add(fe0, fe1), F::add(ge0, ge1)); + acc_a1 = F::add(acc_a1, F::sub(F::sub(m, v0), v1)); + + let u0 = F::mul(fe0, go0); + let u1 = F::mul(fe1, go1); + let m1 = F::mul(F::add(fe0, fe1), F::add(go0, go1)); + let p0 = F::mul(fo0, ge0); + let p1 = F::mul(fo1, ge1); + let m2 = F::mul(F::add(fo0, fo1), F::add(ge0, ge1)); + + acc_b0 = F::add(acc_b0, F::add( + F::add(u0, F::mul(w_vec, u1)), + F::add(p0, F::mul(w_vec, p1)), + )); + acc_b1 = F::add(acc_b1, F::add( + F::sub(F::sub(m1, u0), u1), + F::sub(F::sub(m2, p0), p1), + )); + } + i += load_width; + } + + // Horizontal reduce + let mut buf = [F::ZERO; 32]; + let mut a = [F::ZERO; 2]; + let mut b = [F::ZERO; 2]; + + unsafe { F::store(buf.as_mut_ptr(), acc_a0) }; + for &v in buf.iter().take(lanes) { a[0] = F::scalar_add(a[0], v); } + unsafe { F::store(buf.as_mut_ptr(), acc_a1) }; + for &v in buf.iter().take(lanes) { a[1] = F::scalar_add(a[1], v); } + unsafe { F::store(buf.as_mut_ptr(), acc_b0) }; + for &v in buf.iter().take(lanes) { b[0] = F::scalar_add(b[0], v); } + unsafe { F::store(buf.as_mut_ptr(), acc_b1) }; + for &v in buf.iter().take(lanes) { b[1] = F::scalar_add(b[1], v); } + + // Scalar tail + while i + 1 < n { + let fe = [f_c0[i], f_c1[i]]; + let fo = [f_c0[i + 1], f_c1[i + 1]]; + let ge = [g_c0[i], g_c1[i]]; + let go_ = [g_c0[i + 1], g_c1[i + 1]]; + + // a += fe * ge + let v0 = F::scalar_mul(fe[0], ge[0]); + let v1 = F::scalar_mul(fe[1], ge[1]); + a[0] = F::scalar_add(a[0], F::scalar_add(v0, F::scalar_mul(w, v1))); + let m = F::scalar_mul(F::scalar_add(fe[0], fe[1]), F::scalar_add(ge[0], ge[1])); + a[1] = F::scalar_add(a[1], F::scalar_sub(F::scalar_sub(m, v0), v1)); + + // b += fe * go + fo * ge + let u0 = F::scalar_mul(fe[0], go_[0]); + let u1 = F::scalar_mul(fe[1], go_[1]); + let m1 = F::scalar_mul(F::scalar_add(fe[0], fe[1]), F::scalar_add(go_[0], go_[1])); + let p0 = F::scalar_mul(fo[0], ge[0]); + let p1 = F::scalar_mul(fo[1], ge[1]); + let m2 = F::scalar_mul(F::scalar_add(fo[0], fo[1]), F::scalar_add(ge[0], ge[1])); + + b[0] = F::scalar_add(b[0], F::scalar_add( + F::scalar_add(u0, F::scalar_mul(w, u1)), + F::scalar_add(p0, F::scalar_mul(w, p1)), + )); + b[1] = F::scalar_add(b[1], F::scalar_add( + F::scalar_sub(F::scalar_sub(m1, u0), u1), + F::scalar_sub(F::scalar_sub(m2, p0), p1), + )); + i += 2; + } + + (a, b) +} + +/// SoA ext3 inner product evaluate. +/// +/// Given `f` and `g` as ext3 elements in SoA layout (f_c0, f_c1, f_c2, g_c0, g_c1, g_c2), +/// computes the degree-2 round polynomial coefficients `(a, b)`: +/// a = Σ f[2i] * g[2i] (ext3 products) +/// b = Σ (f[2i] * g[2i+1] + f[2i+1] * g[2i]) (ext3 cross-terms) +/// +/// Returns `(a_components, b_components)` as `[u64; 3]` raw Montgomery values. +pub fn ext3_soa_product_evaluate>( + f_c0: &[u64], + f_c1: &[u64], + f_c2: &[u64], + g_c0: &[u64], + g_c1: &[u64], + g_c2: &[u64], + w: u64, +) -> ([u64; 3], [u64; 3]) { + let n = f_c0.len(); + debug_assert_eq!(n, f_c1.len()); + debug_assert_eq!(n, f_c2.len()); + debug_assert_eq!(n, g_c0.len()); + debug_assert_eq!(n, g_c1.len()); + debug_assert_eq!(n, g_c2.len()); + + let lanes = F::LANES; + // Each load_deinterleaved consumes 2*lanes u64s (one load_width). 2× unroll. + let load_width = 2 * lanes; + let step = 2 * load_width; // 4 * lanes + let aligned = (n / step) * step; + let w_vec = F::splat(w); + + let zero = F::splat(F::ZERO); + // Accumulators for a (3 components) and b (3 components) + let mut acc_a = [zero; 3]; + let mut acc_b = [zero; 3]; + + let mut i = 0; + while i < aligned { + unsafe { + for u in 0..2 { + let off = i + u * load_width; + let (fe0, fo0) = F::load_deinterleaved(f_c0.as_ptr().add(off)); + let (fe1, fo1) = F::load_deinterleaved(f_c1.as_ptr().add(off)); + let (fe2, fo2) = F::load_deinterleaved(f_c2.as_ptr().add(off)); + let (ge0, go0) = F::load_deinterleaved(g_c0.as_ptr().add(off)); + let (ge1, go1) = F::load_deinterleaved(g_c1.as_ptr().add(off)); + let (ge2, go2) = F::load_deinterleaved(g_c2.as_ptr().add(off)); + + // a += f_even * g_even (ext3 Karatsuba) + let prod_a = soa_ext3_mul::( + [fe0, fe1, fe2], [ge0, ge1, ge2], w_vec, + ); + acc_a[0] = F::add(acc_a[0], prod_a[0]); + acc_a[1] = F::add(acc_a[1], prod_a[1]); + acc_a[2] = F::add(acc_a[2], prod_a[2]); + + // b += f_even * g_odd + f_odd * g_even + let prod_eg = soa_ext3_mul::( + [fe0, fe1, fe2], [go0, go1, go2], w_vec, + ); + let prod_oe = soa_ext3_mul::( + [fo0, fo1, fo2], [ge0, ge1, ge2], w_vec, + ); + acc_b[0] = F::add(acc_b[0], F::add(prod_eg[0], prod_oe[0])); + acc_b[1] = F::add(acc_b[1], F::add(prod_eg[1], prod_oe[1])); + acc_b[2] = F::add(acc_b[2], F::add(prod_eg[2], prod_oe[2])); + } + } + i += step; + } + + // Remaining SIMD vectors (one load_width at a time) + while i + load_width <= n { + unsafe { + let (fe0, fo0) = F::load_deinterleaved(f_c0.as_ptr().add(i)); + let (fe1, fo1) = F::load_deinterleaved(f_c1.as_ptr().add(i)); + let (fe2, fo2) = F::load_deinterleaved(f_c2.as_ptr().add(i)); + let (ge0, go0) = F::load_deinterleaved(g_c0.as_ptr().add(i)); + let (ge1, go1) = F::load_deinterleaved(g_c1.as_ptr().add(i)); + let (ge2, go2) = F::load_deinterleaved(g_c2.as_ptr().add(i)); + + let prod_a = soa_ext3_mul::([fe0, fe1, fe2], [ge0, ge1, ge2], w_vec); + acc_a[0] = F::add(acc_a[0], prod_a[0]); + acc_a[1] = F::add(acc_a[1], prod_a[1]); + acc_a[2] = F::add(acc_a[2], prod_a[2]); + + let prod_eg = soa_ext3_mul::([fe0, fe1, fe2], [go0, go1, go2], w_vec); + let prod_oe = soa_ext3_mul::([fo0, fo1, fo2], [ge0, ge1, ge2], w_vec); + acc_b[0] = F::add(acc_b[0], F::add(prod_eg[0], prod_oe[0])); + acc_b[1] = F::add(acc_b[1], F::add(prod_eg[1], prod_oe[1])); + acc_b[2] = F::add(acc_b[2], F::add(prod_eg[2], prod_oe[2])); + } + i += load_width; + } + + // Horizontal reduce + let mut buf = [F::ZERO; 32]; + let mut a = [F::ZERO; 3]; + let mut b = [F::ZERO; 3]; + + for c in 0..3 { + unsafe { F::store(buf.as_mut_ptr(), acc_a[c]) }; + for &v in buf.iter().take(lanes) { a[c] = F::scalar_add(a[c], v); } + unsafe { F::store(buf.as_mut_ptr(), acc_b[c]) }; + for &v in buf.iter().take(lanes) { b[c] = F::scalar_add(b[c], v); } + } + + // Scalar tail + while i + 1 < n { + let fe = [f_c0[i], f_c1[i], f_c2[i]]; + let fo = [f_c0[i + 1], f_c1[i + 1], f_c2[i + 1]]; + let ge = [g_c0[i], g_c1[i], g_c2[i]]; + let go_ = [g_c0[i + 1], g_c1[i + 1], g_c2[i + 1]]; + + let pa = scalar_ext3_mul::(fe, ge, w); + for c in 0..3 { a[c] = F::scalar_add(a[c], pa[c]); } + + let peg = scalar_ext3_mul::(fe, go_, w); + let poe = scalar_ext3_mul::(fo, ge, w); + for c in 0..3 { b[c] = F::scalar_add(b[c], F::scalar_add(peg[c], poe[c])); } + + i += 2; + } + + (a, b) +} + +/// Ext3 Karatsuba multiply for SIMD vectors in SoA layout. +/// 6 base muls + 2 w-muls + adds. +#[inline(always)] +fn soa_ext3_mul>( + a: [F::Packed; 3], + b: [F::Packed; 3], + w: F::Packed, +) -> [F::Packed; 3] { + let ad = F::mul(a[0], b[0]); + let be = F::mul(a[1], b[1]); + let cf = F::mul(a[2], b[2]); + + let x = F::sub( + F::sub(F::mul(F::add(a[1], a[2]), F::add(b[1], b[2])), be), + cf, + ); + let y = F::sub( + F::sub(F::mul(F::add(a[0], a[1]), F::add(b[0], b[1])), ad), + be, + ); + let z = F::add( + F::sub( + F::sub(F::mul(F::add(a[0], a[2]), F::add(b[0], b[2])), ad), + cf, + ), + be, + ); + + [ + F::add(ad, F::mul(w, x)), + F::add(y, F::mul(w, cf)), + z, + ] +} + +/// Scalar ext3 Karatsuba multiply helper. +#[inline(always)] +fn scalar_ext3_mul>(a: [u64; 3], b: [u64; 3], w: u64) -> [u64; 3] { + let ad = F::scalar_mul(a[0], b[0]); + let be = F::scalar_mul(a[1], b[1]); + let cf = F::scalar_mul(a[2], b[2]); + + let x = F::scalar_sub( + F::scalar_sub( + F::scalar_mul(F::scalar_add(a[1], a[2]), F::scalar_add(b[1], b[2])), + be, + ), + cf, + ); + let y = F::scalar_sub( + F::scalar_sub( + F::scalar_mul(F::scalar_add(a[0], a[1]), F::scalar_add(b[0], b[1])), + ad, + ), + be, + ); + let z = F::scalar_add( + F::scalar_sub( + F::scalar_sub( + F::scalar_mul(F::scalar_add(a[0], a[2]), F::scalar_add(b[0], b[2])), + ad, + ), + cf, + ), + be, + ); + + [ + F::scalar_add(ad, F::scalar_mul(w, x)), + F::scalar_add(y, F::scalar_mul(w, cf)), + z, + ] +} + #[cfg(test)] #[cfg(any( target_arch = "aarch64", From e9bf1708f2beb406d7985acdd9ad51d0bf193baa Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Sun, 12 Apr 2026 20:47:49 +0200 Subject: [PATCH 30/52] dispatch avx --- benches/simd_vs_generic.rs | 97 +------------------- deep.pdf | Bin 159638 -> 0 bytes src/simd_fields/goldilocks/neon.rs | 6 ++ src/simd_ops.rs | 140 +++++++++++++++++++++++++++-- src/simd_sumcheck/dispatch.rs | 14 ++- 5 files changed, 149 insertions(+), 108 deletions(-) delete mode 100644 deep.pdf diff --git a/benches/simd_vs_generic.rs b/benches/simd_vs_generic.rs index fb8cdebe..ab46851a 100644 --- a/benches/simd_vs_generic.rs +++ b/benches/simd_vs_generic.rs @@ -851,7 +851,7 @@ fn inner_product_extension_bench(c: &mut Criterion) { (f, g) }, |(f, g)| { - use efficient_sumcheck::multilinear_product::provers::time::reductions::pairwise::pairwise_product_evaluate; + use efficient_sumcheck::multilinear_product::provers::time::reductions::pairwise::pairwise_product_evaluate_slices; let mut rng = ark_std::test_rng(); let mut transcript = SanityTranscript::new(&mut rng); @@ -859,7 +859,7 @@ fn inner_product_extension_bench(c: &mut Criterion) { let mut ef_f = f; let mut ef_g = g; for _ in 0..num_rounds { - let msg = pairwise_product_evaluate(&[ef_f.clone(), ef_g.clone()]); + let msg = pairwise_product_evaluate_slices(&ef_f, &ef_g); transcript.write(msg.0); transcript.write(msg.1); let chg: F64Ext3 = transcript.read(); @@ -895,99 +895,6 @@ fn inner_product_extension_bench(c: &mut Criterion) { ) }, ); - - // ── Generic baselines (no simd_ops, raw arkworks) ── - group.bench_with_input( - BenchmarkId::new("ext2_generic", format!("2^{}", num_vars)), - &num_vars, - |bencher, _| { - use efficient_sumcheck::multilinear_product::provers::time::reductions::pairwise::pairwise_product_evaluate_slices; - bencher.iter_with_setup( - || { - let mut rng = ark_std::test_rng(); - let f: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); - let g: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); - (f, g) - }, - |(f, g)| { - let mut rng = ark_std::test_rng(); - let mut transcript = SanityTranscript::new(&mut rng); - let num_rounds = f.len().trailing_zeros() as usize; - let mut ef_f = f; - let mut ef_g = g; - let mut msgs = Vec::with_capacity(num_rounds); - for _ in 0..num_rounds { - let msg = pairwise_product_evaluate_slices(&ef_f, &ef_g); - msgs.push(msg); - transcript.write(msg.0); - transcript.write(msg.1); - let chg: F64Ext2 = transcript.read(); - pairwise::reduce_evaluations(&mut ef_f, chg); - pairwise::reduce_evaluations(&mut ef_g, chg); - } - black_box(msgs); - }, - ) - }, - ); - - group.bench_with_input( - BenchmarkId::new("ext3_generic", format!("2^{}", num_vars)), - &num_vars, - |bencher, _| { - use efficient_sumcheck::multilinear_product::provers::time::reductions::pairwise::pairwise_product_evaluate_slices; - bencher.iter_with_setup( - || { - let mut rng = ark_std::test_rng(); - let f: Vec = (0..n).map(|_| F64Ext3::rand(&mut rng)).collect(); - let g: Vec = (0..n).map(|_| F64Ext3::rand(&mut rng)).collect(); - (f, g) - }, - |(f, g)| { - let mut rng = ark_std::test_rng(); - let mut transcript = SanityTranscript::new(&mut rng); - let num_rounds = f.len().trailing_zeros() as usize; - let mut ef_f = f; - let mut ef_g = g; - let mut msgs = Vec::with_capacity(num_rounds); - for _ in 0..num_rounds { - let msg = pairwise_product_evaluate_slices(&ef_f, &ef_g); - msgs.push(msg); - transcript.write(msg.0); - transcript.write(msg.1); - let chg: F64Ext3 = transcript.read(); - pairwise::reduce_evaluations(&mut ef_f, chg); - pairwise::reduce_evaluations(&mut ef_g, chg); - } - black_box(msgs); - }, - ) - }, - ); - - group.bench_with_input( - 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zf<^5H6Oiy!d49z4W}_T@$Wr(99nWm~>jKT)UI;+amz}C5$sj|rp6%!K6!EK*Yz8`Q zcI-b))1ZNk+g9v=oYzA|vrLR8ojY3wCR~PeHIF97nn?@AB6QncvUC=U$bvgpuak-EwZHLA;`j5p2rOH$g`$QMhym zx4J5HLDC!7{u*ezcVgI4z%F^^Mc>6v_>@BWMfAxDzVf>isgKeBzB8Y*=x%=T55~s~ zaJ2sN?)&RILJ*pQQCTi1OVo^j^p4|(6LzGX18#f*9$Ta25BwFO7340ZK}thfo!o`@ z)5%2&qMwj=8bM}=ALlnEc;~EgYrvw)*o6+w$p@i|EY>YMe(C^;0k4Li4`t>gRPqz2f^!hs5PDZY<}Gc(k5{UBL6Kj88s31)i6{{rL8Iu zonHLX#P7C3VZFv#H`SP;n{yTgH=}&kkg5YH&Y5E8KFEW`Bqu~MwMM$!hmw3gm$il= zk^pIacDa_P!qKoo_Og?d&E5?CG@SIil5R*7GhW2b_!A9(T8n(0pC zTM;zknf|qM4~o3wwX=cEgW#Fx@F%J#{l!n~Ant58uYy(>*a#{K4z0s`Fl>8#eSf+- z_GY(lf!?Uq^8~4qxgk>Kz`MjOkL8wcoo95S^HNs-DU0-Psl-o1+}xpp z_VR*?YD$iB)`Ip5f=Yslj&c@{BHaJ>>-yvN(Odm2e^pvUu)gU41VLqDd<2Ma?EabgV&W0R8T`xjv)LrFuMo8s>NBfFrJ zj?shBpIW%R`O(At)A?Y5(u{#&V8%DexMshBcIJhdsrf!KXS*u@3wL&9uIXxSWu0-A_WP8~ zosjpJcZSYCXZQzs)@S$J2*xJE0_3)P{v+_52&GMz=NVm9*Ftjb2s?FOK_yx5NILc0 zN2RFli2gV4Jh>yg*mHVBA+UP=NfP0R`pr4(ESu(1oN>GDMSs%$bj0;N<)H=>JCRpS zBMJm=zX^;fVvFmD-8pfEvv`mBNwWXvfHOp&k^ (uint64x2_t, uint64x2_t) { + let pair = unsafe { vld2q_u64(ptr) }; + (pair.0, pair.1) + } + // Add/sub are identical in canonical and Montgomery domain. // mont(a) + mont(b) = mont(a + b), same wrapping/reduction logic. diff --git a/src/simd_ops.rs b/src/simd_ops.rs index 6b7a7423..6cf16a79 100644 --- a/src/simd_ops.rs +++ b/src/simd_ops.rs @@ -169,21 +169,107 @@ pub fn pairwise_product_sum(f: &[F], g: &[F]) -> (F, F) { fn try_simd_product_sum(f: &[F], g: &[F]) -> Option<(F, F)> { use crate::simd_sumcheck::dispatch::is_goldilocks_pub; - if !is_goldilocks_pub::() { - return None; - } - #[cfg(target_arch = "aarch64")] type Backend = crate::simd_fields::goldilocks::neon::GoldilocksNeon; #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] type Backend = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; - let f_raw: &[u64] = unsafe { core::slice::from_raw_parts(f.as_ptr() as *const u64, f.len()) }; - let g_raw: &[u64] = unsafe { core::slice::from_raw_parts(g.as_ptr() as *const u64, g.len()) }; - let (a, b) = crate::simd_sumcheck::evaluate::product_evaluate_parallel::(f_raw, g_raw); + if is_goldilocks_pub::() { + let f_raw: &[u64] = + unsafe { core::slice::from_raw_parts(f.as_ptr() as *const u64, f.len()) }; + let g_raw: &[u64] = + unsafe { core::slice::from_raw_parts(g.as_ptr() as *const u64, g.len()) }; + let (a, b) = + crate::simd_sumcheck::evaluate::product_evaluate_parallel::(f_raw, g_raw); + + use crate::simd_sumcheck::dispatch::u64_to_field_pub; + return Some((u64_to_field_pub(a), u64_to_field_pub(b))); + } + + // Ext2/ext3 path: AVX-512 only for now. NEON regresses on ext3 product + // because it has no true vector 64×64 multiply — the SIMD wrapper adds + // overhead without compute gain. Re-enable for NEON once a scalar-direct + // path exists. + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] + { + use crate::simd_sumcheck::dispatch::is_goldilocks_based_pub; + if is_goldilocks_based_pub::() + && core::mem::size_of::() + == (F::extension_degree() as usize) * core::mem::size_of::() + { + let d = F::extension_degree() as usize; + if d == 2 { + return Some(simd_ext2_product_sum::(f, g)); + } else if d == 3 { + return Some(simd_ext3_product_sum::(f, g)); + } + } + } + + None +} + +#[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] +fn simd_ext2_product_sum>( + f: &[F], + g: &[F], +) -> (F, F) { + use crate::simd_sumcheck::dispatch::{ + aos_to_soa_ext2, extract_nonresidue_ext2, + }; + + let n = f.len(); + let f_raw: &[u64] = unsafe { core::slice::from_raw_parts(f.as_ptr() as *const u64, n * 2) }; + let g_raw: &[u64] = unsafe { core::slice::from_raw_parts(g.as_ptr() as *const u64, n * 2) }; + + let (f_c0, f_c1) = aos_to_soa_ext2(f_raw); + let (g_c0, g_c1) = aos_to_soa_ext2(g_raw); + let w = extract_nonresidue_ext2::(); + + let (a, b) = crate::simd_sumcheck::reduce::ext2_soa_product_evaluate::( + &f_c0, &f_c1, &g_c0, &g_c1, w, + ); + + (pack_ext_u64_to_field::(&a), pack_ext_u64_to_field::(&b)) +} + +#[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] +fn simd_ext3_product_sum>( + f: &[F], + g: &[F], +) -> (F, F) { + use crate::simd_sumcheck::dispatch::{ + aos_to_soa_ext3, extract_nonresidue_ext3, + }; + + let n = f.len(); + let f_raw: &[u64] = unsafe { core::slice::from_raw_parts(f.as_ptr() as *const u64, n * 3) }; + let g_raw: &[u64] = unsafe { core::slice::from_raw_parts(g.as_ptr() as *const u64, n * 3) }; + + let (f_c0, f_c1, f_c2) = aos_to_soa_ext3(f_raw); + let (g_c0, g_c1, g_c2) = aos_to_soa_ext3(g_raw); + let w = extract_nonresidue_ext3::(); + + let (a, b) = crate::simd_sumcheck::reduce::ext3_soa_product_evaluate::( + &f_c0, &f_c1, &f_c2, &g_c0, &g_c1, &g_c2, w, + ); + + (pack_ext_u64_to_field::(&a), pack_ext_u64_to_field::(&b)) +} - use crate::simd_sumcheck::dispatch::u64_to_field_pub; - Some((u64_to_field_pub(a), u64_to_field_pub(b))) +#[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] +#[inline] +fn pack_ext_u64_to_field(limbs: &[u64]) -> F { + debug_assert_eq!(core::mem::size_of::(), limbs.len() * core::mem::size_of::()); + unsafe { + let mut out = core::mem::MaybeUninit::::uninit(); + core::ptr::copy_nonoverlapping( + limbs.as_ptr(), + out.as_mut_ptr() as *mut u64, + limbs.len(), + ); + out.assume_init() + } } // ─── Inner product ────────────────────────────────────────────────────────── @@ -341,4 +427,40 @@ mod tests { assert_eq!(a, expected_a); assert_eq!(b, expected_b); } + + #[test] + fn test_pairwise_product_sum_ext2() { + let mut rng = test_rng(); + let n = 1 << 10; + let f: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); + let g: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); + + let (a, b) = pairwise_product_sum(&f, &g); + + let expected_a: F64Ext2 = (0..n / 2).map(|k| f[2 * k] * g[2 * k]).sum(); + let expected_b: F64Ext2 = (0..n / 2) + .map(|k| f[2 * k] * g[2 * k + 1] + f[2 * k + 1] * g[2 * k]) + .sum(); + + assert_eq!(a, expected_a); + assert_eq!(b, expected_b); + } + + #[test] + fn test_pairwise_product_sum_ext3() { + let mut rng = test_rng(); + let n = 1 << 10; + let f: Vec = (0..n).map(|_| F64Ext3::rand(&mut rng)).collect(); + let g: Vec = (0..n).map(|_| F64Ext3::rand(&mut rng)).collect(); + + let (a, b) = pairwise_product_sum(&f, &g); + + let expected_a: F64Ext3 = (0..n / 2).map(|k| f[2 * k] * g[2 * k]).sum(); + let expected_b: F64Ext3 = (0..n / 2) + .map(|k| f[2 * k] * g[2 * k + 1] + f[2 * k + 1] * g[2 * k]) + .sum(); + + assert_eq!(a, expected_a); + assert_eq!(b, expected_b); + } } diff --git a/src/simd_sumcheck/dispatch.rs b/src/simd_sumcheck/dispatch.rs index f2751e29..4b64a73c 100644 --- a/src/simd_sumcheck/dispatch.rs +++ b/src/simd_sumcheck/dispatch.rs @@ -118,7 +118,7 @@ fn is_goldilocks_based() -> bool { all(target_arch = "x86_64", target_feature = "avx512ifma") ))] #[inline] -fn extract_nonresidue_ext2>() -> u64 { +pub(crate) fn extract_nonresidue_ext2>() -> u64 { let one_x = unsafe { let mut tmp = [0u64; 2]; tmp[1] = S::ONE; @@ -136,7 +136,7 @@ fn extract_nonresidue_ext2>() -> u64 { +pub(crate) fn extract_nonresidue_ext3>() -> u64 { let one_x = unsafe { let mut tmp = [0u64; 3]; tmp[1] = S::ONE; @@ -960,7 +960,7 @@ pub(crate) fn try_simd_evaluate_degree1(pw: &[F]) -> Option> { target_arch = "aarch64", all(target_arch = "x86_64", target_feature = "avx512ifma") ))] -fn aos_to_soa_ext2(src: &[u64]) -> (Vec, Vec) { +pub(crate) fn aos_to_soa_ext2(src: &[u64]) -> (Vec, Vec) { let n = src.len() / 2; let mut c0 = Vec::with_capacity(n); let mut c1 = Vec::with_capacity(n); @@ -976,7 +976,7 @@ fn aos_to_soa_ext2(src: &[u64]) -> (Vec, Vec) { target_arch = "aarch64", all(target_arch = "x86_64", target_feature = "avx512ifma") ))] -fn aos_to_soa_ext3(src: &[u64]) -> (Vec, Vec, Vec) { +pub(crate) fn aos_to_soa_ext3(src: &[u64]) -> (Vec, Vec, Vec) { let n = src.len() / 3; let mut c0 = Vec::with_capacity(n); let mut c1 = Vec::with_capacity(n); @@ -1220,6 +1220,12 @@ pub fn is_goldilocks_pub() -> bool { is_goldilocks::() } +/// Public wrapper — accepts base Goldilocks or any Goldilocks-based extension. +#[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] +pub fn is_goldilocks_based_pub() -> bool { + is_goldilocks_based::() +} + /// Reinterpret a Montgomery-form `u64` as a field element (public wrapper). #[cfg(any( target_arch = "aarch64", From 3e614f916a28c0b13d110ae14a57df42f30a242c Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Sun, 12 Apr 2026 21:13:45 +0200 Subject: [PATCH 31/52] chkpt --- src/simd_ops.rs | 121 +++++++++++++++++++++++++++++++++++++++++------- 1 file changed, 105 insertions(+), 16 deletions(-) diff --git a/src/simd_ops.rs b/src/simd_ops.rs index 6cf16a79..adc7c5be 100644 --- a/src/simd_ops.rs +++ b/src/simd_ops.rs @@ -209,26 +209,89 @@ fn try_simd_product_sum(f: &[F], g: &[F]) -> Option<(F, F)> { None } +#[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] +const EXT_PRODUCT_CHUNK: usize = 1 << 14; // pairs per rayon chunk + +#[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] +fn aos_to_soa_ext2_par(src: &[u64]) -> (Vec, Vec) { + use rayon::prelude::*; + let n = src.len() / 2; + let mut c0 = vec![0u64; n]; + let mut c1 = vec![0u64; n]; + let chunk = EXT_PRODUCT_CHUNK; + c0.par_chunks_mut(chunk) + .zip(c1.par_chunks_mut(chunk)) + .enumerate() + .for_each(|(i, (c0_chunk, c1_chunk))| { + let start = i * chunk; + for j in 0..c0_chunk.len() { + c0_chunk[j] = src[2 * (start + j)]; + c1_chunk[j] = src[2 * (start + j) + 1]; + } + }); + (c0, c1) +} + +#[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] +fn aos_to_soa_ext3_par(src: &[u64]) -> (Vec, Vec, Vec) { + use rayon::prelude::*; + let n = src.len() / 3; + let mut c0 = vec![0u64; n]; + let mut c1 = vec![0u64; n]; + let mut c2 = vec![0u64; n]; + let chunk = EXT_PRODUCT_CHUNK; + c0.par_chunks_mut(chunk) + .zip(c1.par_chunks_mut(chunk)) + .zip(c2.par_chunks_mut(chunk)) + .enumerate() + .for_each(|(i, ((c0_chunk, c1_chunk), c2_chunk))| { + let start = i * chunk; + for j in 0..c0_chunk.len() { + c0_chunk[j] = src[3 * (start + j)]; + c1_chunk[j] = src[3 * (start + j) + 1]; + c2_chunk[j] = src[3 * (start + j) + 2]; + } + }); + (c0, c1, c2) +} + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] fn simd_ext2_product_sum>( f: &[F], g: &[F], ) -> (F, F) { - use crate::simd_sumcheck::dispatch::{ - aos_to_soa_ext2, extract_nonresidue_ext2, - }; + use crate::simd_sumcheck::dispatch::extract_nonresidue_ext2; + use rayon::prelude::*; let n = f.len(); let f_raw: &[u64] = unsafe { core::slice::from_raw_parts(f.as_ptr() as *const u64, n * 2) }; let g_raw: &[u64] = unsafe { core::slice::from_raw_parts(g.as_ptr() as *const u64, n * 2) }; - let (f_c0, f_c1) = aos_to_soa_ext2(f_raw); - let (g_c0, g_c1) = aos_to_soa_ext2(g_raw); + // Parallel AoS → SoA; one pass each for f and g. + let ((f_c0, f_c1), (g_c0, g_c1)) = + rayon::join(|| aos_to_soa_ext2_par(f_raw), || aos_to_soa_ext2_par(g_raw)); let w = extract_nonresidue_ext2::(); - let (a, b) = crate::simd_sumcheck::reduce::ext2_soa_product_evaluate::( - &f_c0, &f_c1, &g_c0, &g_c1, w, - ); + // Chunks must be pair-aligned (even length). The last chunk may be odd + // if n is odd, but pairwise_product_sum always receives even n (pairs). + let chunk = EXT_PRODUCT_CHUNK; + let (a, b) = f_c0 + .par_chunks(chunk) + .zip(f_c1.par_chunks(chunk)) + .zip(g_c0.par_chunks(chunk)) + .zip(g_c1.par_chunks(chunk)) + .map(|(((fc0, fc1), gc0), gc1)| { + crate::simd_sumcheck::reduce::ext2_soa_product_evaluate::(fc0, fc1, gc0, gc1, w) + }) + .reduce( + || ([0u64; 2], [0u64; 2]), + |(a1, b1), (a2, b2)| { + ( + [B::scalar_add(a1[0], a2[0]), B::scalar_add(a1[1], a2[1])], + [B::scalar_add(b1[0], b2[0]), B::scalar_add(b1[1], b2[1])], + ) + }, + ); (pack_ext_u64_to_field::(&a), pack_ext_u64_to_field::(&b)) } @@ -238,21 +301,47 @@ fn simd_ext3_product_sum (F, F) { - use crate::simd_sumcheck::dispatch::{ - aos_to_soa_ext3, extract_nonresidue_ext3, - }; + use crate::simd_sumcheck::dispatch::extract_nonresidue_ext3; + use rayon::prelude::*; let n = f.len(); let f_raw: &[u64] = unsafe { core::slice::from_raw_parts(f.as_ptr() as *const u64, n * 3) }; let g_raw: &[u64] = unsafe { core::slice::from_raw_parts(g.as_ptr() as *const u64, n * 3) }; - let (f_c0, f_c1, f_c2) = aos_to_soa_ext3(f_raw); - let (g_c0, g_c1, g_c2) = aos_to_soa_ext3(g_raw); + let ((f_c0, f_c1, f_c2), (g_c0, g_c1, g_c2)) = + rayon::join(|| aos_to_soa_ext3_par(f_raw), || aos_to_soa_ext3_par(g_raw)); let w = extract_nonresidue_ext3::(); - let (a, b) = crate::simd_sumcheck::reduce::ext3_soa_product_evaluate::( - &f_c0, &f_c1, &f_c2, &g_c0, &g_c1, &g_c2, w, - ); + let chunk = EXT_PRODUCT_CHUNK; + let (a, b) = f_c0 + .par_chunks(chunk) + .zip(f_c1.par_chunks(chunk)) + .zip(f_c2.par_chunks(chunk)) + .zip(g_c0.par_chunks(chunk)) + .zip(g_c1.par_chunks(chunk)) + .zip(g_c2.par_chunks(chunk)) + .map(|(((((fc0, fc1), fc2), gc0), gc1), gc2)| { + crate::simd_sumcheck::reduce::ext3_soa_product_evaluate::( + fc0, fc1, fc2, gc0, gc1, gc2, w, + ) + }) + .reduce( + || ([0u64; 3], [0u64; 3]), + |(a1, b1), (a2, b2)| { + ( + [ + B::scalar_add(a1[0], a2[0]), + B::scalar_add(a1[1], a2[1]), + B::scalar_add(a1[2], a2[2]), + ], + [ + B::scalar_add(b1[0], b2[0]), + B::scalar_add(b1[1], b2[1]), + B::scalar_add(b1[2], b2[2]), + ], + ) + }, + ); (pack_ext_u64_to_field::(&a), pack_ext_u64_to_field::(&b)) } From 3ebcef5120dcc9b466e1e4532970b4e75a3f9ad7 Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Mon, 13 Apr 2026 11:29:46 +0200 Subject: [PATCH 32/52] hook --- src/inner_product_sumcheck.rs | 98 ++++++++++++++++++++++++++++-- src/multilinear_sumcheck.rs | 105 ++++++++++++++++++++++++++++++-- src/simd_sumcheck/dispatch.rs | 110 +++++++++++++++++++++++++--------- 3 files changed, 275 insertions(+), 38 deletions(-) diff --git a/src/inner_product_sumcheck.rs b/src/inner_product_sumcheck.rs index 3e2ac4c5..b01e1ce0 100644 --- a/src/inner_product_sumcheck.rs +++ b/src/inner_product_sumcheck.rs @@ -100,6 +100,27 @@ pub fn inner_product_sumcheck>( g: &mut [BF], transcript: &mut impl Transcript, ) -> ProductSumcheck { + inner_product_sumcheck_with_hook(f, g, transcript, |_, _| {}) +} + +/// Like [`inner_product_sumcheck`], but calls `hook(round_idx, transcript)` +/// each round *after* the prover message is written and *before* the verifier +/// challenge is read. +/// +/// See [`crate::multilinear_sumcheck_with_hook`] for the motivating use case +/// (per-round proof-of-work grinding, etc.). +pub fn inner_product_sumcheck_with_hook( + f: &mut [BF], + g: &mut [BF], + transcript: &mut T, + mut hook: H, +) -> ProductSumcheck +where + BF: Field, + EF: Field + From, + T: Transcript, + H: FnMut(usize, &mut T), +{ assert_eq!(f.len(), g.len()); assert!(f.len().count_ones() == 1); @@ -111,14 +132,16 @@ pub fn inner_product_sumcheck>( { // Try base-field dispatch first (BF == EF == Goldilocks base) if let Some(result) = - crate::simd_sumcheck::dispatch::try_simd_product_dispatch::(f, g, transcript) + crate::simd_sumcheck::dispatch::try_simd_product_dispatch::( + f, g, transcript, &mut hook, + ) { return result; } // Try extension-field dispatch (BF == EF == Goldilocks ext2) if let Some(result) = - crate::simd_sumcheck::dispatch::try_simd_ext_product_dispatch::( - f, g, transcript, + crate::simd_sumcheck::dispatch::try_simd_ext_product_dispatch::( + f, g, transcript, &mut hook, ) { return result; @@ -139,6 +162,8 @@ pub fn inner_product_sumcheck>( transcript.write(msg.0); transcript.write(msg.1); + hook(0, transcript); + let chg = transcript.read(); verifier_messages.push(chg); @@ -147,7 +172,7 @@ pub fn inner_product_sumcheck>( let mut ef_g = crate::simd_ops::cross_field_fold(g, chg); // Remaining rounds work in EF. - for _ in 1..num_rounds { + for round in 1..num_rounds { // SIMD-accelerated product evaluate (dispatches for Goldilocks base) let msg = crate::simd_ops::pairwise_product_sum(&ef_f, &ef_g); @@ -155,6 +180,8 @@ pub fn inner_product_sumcheck>( transcript.write(msg.0); transcript.write(msg.1); + hook(round, transcript); + let chg = transcript.read(); verifier_messages.push(chg); @@ -444,4 +471,67 @@ mod tests { assert_eq!(s.1, ref_msg.1, "b mismatch at round {i}"); } } + + #[test] + fn test_with_hook_called_once_per_round() { + use crate::transcript::SanityTranscript; + use std::cell::RefCell; + + let num_vars = 6; + let n = 1 << num_vars; + let mut rng = test_rng(); + let mut f: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let mut g: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let mut transcript = SanityTranscript::new(&mut rng); + + let calls = RefCell::new(Vec::::new()); + let result = inner_product_sumcheck_with_hook::( + &mut f, + &mut g, + &mut transcript, + |round, _t| calls.borrow_mut().push(round), + ); + + assert_eq!(result.prover_messages.len(), num_vars); + let calls = calls.into_inner(); + assert_eq!(calls, (0..num_vars).collect::>(), "hook must be called once per round in order"); + } + + #[test] + fn test_with_hook_injects_into_transcript() { + use crate::transcript::SpongefishTranscript; + + let num_vars = 4; + let n = 1 << num_vars; + + let mut rng = test_rng(); + let f_orig: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let g_orig: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + + let run = |tag: F64, f: Vec, g: Vec| { + let mut f = f; + let mut g = g; + let domsep = spongefish::domain_separator!("hook-test-ip"; module_path!()) + .instance(b"test"); + let prover_state = domsep.std_prover(); + let mut transcript = SpongefishTranscript::new(prover_state); + inner_product_sumcheck_with_hook::( + &mut f, + &mut g, + &mut transcript, + move |_round, t| { + t.write(tag); + }, + ) + }; + + let result_a = run(F64::from(1u64), f_orig.clone(), g_orig.clone()); + let result_b = run(F64::from(2u64), f_orig, g_orig); + + assert_ne!( + result_a.verifier_messages[0], + result_b.verifier_messages[0], + "hook writes must affect Fiat-Shamir state" + ); + } } diff --git a/src/multilinear_sumcheck.rs b/src/multilinear_sumcheck.rs index 797c9840..2ba5e5ef 100644 --- a/src/multilinear_sumcheck.rs +++ b/src/multilinear_sumcheck.rs @@ -46,6 +46,28 @@ pub fn multilinear_sumcheck>( evaluations: &mut [BF], transcript: &mut impl Transcript, ) -> Sumcheck { + multilinear_sumcheck_with_hook(evaluations, transcript, |_, _| {}) +} + +/// Like [`multilinear_sumcheck`], but calls `hook(round_idx, transcript)` +/// each round *after* the prover message is written and *before* the verifier +/// challenge is read. +/// +/// Useful for injecting per-round proof-of-work grinding, logging, or other +/// extensions to the transcript that must appear at a specific point in the +/// Fiat-Shamir schedule. The hook is invoked for every round (0..num_rounds), +/// including the round-0 base-field message on cross-field sumchecks. +pub fn multilinear_sumcheck_with_hook( + evaluations: &mut [BF], + transcript: &mut T, + mut hook: H, +) -> Sumcheck +where + BF: Field, + EF: Field + From, + T: Transcript, + H: FnMut(usize, &mut T), +{ // checks assert!( evaluations.len().count_ones() == 1, @@ -63,9 +85,11 @@ pub fn multilinear_sumcheck>( ))] { // Base field dispatch (BF == EF == Goldilocks base) - if let Some(result) = - crate::simd_sumcheck::dispatch::try_simd_dispatch::(evaluations, transcript) - { + if let Some(result) = crate::simd_sumcheck::dispatch::try_simd_dispatch::( + evaluations, + transcript, + &mut hook, + ) { return result; } // Extension field dispatch (BF == EF == Goldilocks ext2/ext3). @@ -74,7 +98,11 @@ pub fn multilinear_sumcheck>( // generic path with SIMD evaluate + rayon-parallel arkworks reduce. #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] if let Some(result) = - crate::simd_sumcheck::dispatch::try_simd_ext_dispatch::(evaluations, transcript) + crate::simd_sumcheck::dispatch::try_simd_ext_dispatch::( + evaluations, + transcript, + &mut hook, + ) { return result; } @@ -93,6 +121,8 @@ pub fn multilinear_sumcheck>( transcript.write(msg.0); transcript.write(msg.1); + hook(0, transcript); + let chg = transcript.read(); verifier_messages.push(chg); @@ -104,7 +134,7 @@ pub fn multilinear_sumcheck>( // next round's (s0, s1) in a single pass, eliminating one full read. let mut pending_eval: Option<(EF, EF)> = None; - for _ in 1..num_rounds { + for round in 1..num_rounds { // Get this round's evaluate — either from the previous fused pass // or by computing it now. let msg = if let Some(cached) = pending_eval.take() { @@ -130,6 +160,8 @@ pub fn multilinear_sumcheck>( transcript.write(msg.0); transcript.write(msg.1); + hook(round, transcript); + let chg = transcript.read(); verifier_messages.push(chg); @@ -349,6 +381,69 @@ mod tests { } } + #[test] + fn test_with_hook_called_once_per_round() { + use crate::transcript::SanityTranscript; + use std::cell::RefCell; + + let num_vars = 6; + let n = 1 << num_vars; + let mut rng = test_rng(); + let mut evals: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let mut transcript = SanityTranscript::new(&mut rng); + + let calls = RefCell::new(Vec::::new()); + let result = multilinear_sumcheck_with_hook::( + &mut evals, + &mut transcript, + |round, _t| calls.borrow_mut().push(round), + ); + + assert_eq!(result.prover_messages.len(), num_vars); + let calls = calls.into_inner(); + assert_eq!(calls, (0..num_vars).collect::>(), "hook must be called once per round in order"); + } + + #[test] + fn test_with_hook_injects_into_transcript() { + // The hook writes an extra field element between the prover message and + // the verifier challenge. Two runs with identical data but different + // hook payloads must produce different verifier challenges from round 0 + // onward — proving the hook's writes actually enter the Fiat-Shamir + // state. + use crate::transcript::SpongefishTranscript; + + let num_vars = 4; + let n = 1 << num_vars; + + let mut rng = test_rng(); + let evals_a: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + + let run = |tag: F64, evals: Vec| { + let mut evals = evals; + let domsep = spongefish::domain_separator!("hook-test"; module_path!()) + .instance(b"test"); + let prover_state = domsep.std_prover(); + let mut transcript = SpongefishTranscript::new(prover_state); + multilinear_sumcheck_with_hook::( + &mut evals, + &mut transcript, + move |_round, t| { + t.write(tag); + }, + ) + }; + + let result_a = run(F64::from(1u64), evals_a.clone()); + let result_b = run(F64::from(2u64), evals_a); + + assert_ne!( + result_a.verifier_messages[0], + result_b.verifier_messages[0], + "hook writes must affect Fiat-Shamir state" + ); + } + #[test] fn test_ext3_sumcheck_parallel_path_matches_generic() { use crate::multilinear::reductions::pairwise; diff --git a/src/simd_sumcheck/dispatch.rs b/src/simd_sumcheck/dispatch.rs index 4b64a73c..a8952c74 100644 --- a/src/simd_sumcheck/dispatch.rs +++ b/src/simd_sumcheck/dispatch.rs @@ -168,10 +168,17 @@ pub(crate) fn extract_nonresidue_ext3>( +pub(crate) fn try_simd_dispatch( evaluations: &mut [BF], - transcript: &mut impl Transcript, -) -> Option> { + transcript: &mut T, + hook: &mut H, +) -> Option> +where + BF: Field, + EF: Field + From, + T: Transcript, + H: FnMut(usize, &mut T), +{ if !(is_goldilocks::() && is_goldilocks::()) { return None; } @@ -218,17 +225,19 @@ pub(crate) fn try_simd_dispatch>( const HYBRID_THRESHOLD: usize = 1 << 30; if n <= HYBRID_THRESHOLD { - dispatch_all_simd::( + dispatch_all_simd::( evaluations, transcript, + hook, num_rounds, &mut prover_messages, &mut verifier_messages, ); } else { - dispatch_hybrid::( + dispatch_hybrid::( evaluations, transcript, + hook, num_rounds, &mut prover_messages, &mut verifier_messages, @@ -255,10 +264,17 @@ pub(crate) fn try_simd_dispatch>( all(target_arch = "x86_64", target_feature = "avx512ifma") ))] #[allow(dead_code)] // Used on AVX-512; on NEON, generic path with rayon is faster -pub(crate) fn try_simd_ext_dispatch>( +pub(crate) fn try_simd_ext_dispatch( evaluations: &mut [BF], - transcript: &mut impl Transcript, -) -> Option> { + transcript: &mut T, + hook: &mut H, +) -> Option> +where + BF: Field, + EF: Field + From, + T: Transcript, + H: FnMut(usize, &mut T), +{ if !is_goldilocks_based::() { return None; } @@ -327,6 +343,8 @@ pub(crate) fn try_simd_ext_dispatch>( transcript.write(msg.0); transcript.write(msg.1); + hook(round, transcript); + let chg: EF = transcript.read(); verifier_messages.push(chg); @@ -386,6 +404,8 @@ pub(crate) fn try_simd_ext_dispatch>( transcript.write(msg.0); transcript.write(msg.1); + hook(round, transcript); + let chg: EF = transcript.read(); verifier_messages.push(chg); @@ -431,17 +451,20 @@ pub(crate) fn try_simd_ext_dispatch>( target_arch = "aarch64", all(target_arch = "x86_64", target_feature = "avx512ifma") ))] -fn dispatch_all_simd< - BF: Field, - EF: Field + From, - S: crate::simd_fields::SimdBaseField, ->( +fn dispatch_all_simd( evaluations: &mut [BF], - transcript: &mut impl Transcript, + transcript: &mut T, + hook: &mut H, num_rounds: usize, prover_messages: &mut Vec<(EF, EF)>, verifier_messages: &mut Vec, -) { +) where + BF: Field, + EF: Field + From, + T: Transcript, + H: FnMut(usize, &mut T), + S: crate::simd_fields::SimdBaseField, +{ use crate::simd_sumcheck::evaluate::evaluate_parallel; use crate::simd_sumcheck::reduce::{reduce_and_evaluate, reduce_in_place}; @@ -467,6 +490,8 @@ fn dispatch_all_simd< transcript.write(msg.0); transcript.write(msg.1); + hook(round, transcript); + let chg_ef: EF = transcript.read(); verifier_messages.push(chg_ef); @@ -490,17 +515,20 @@ fn dispatch_all_simd< target_arch = "aarch64", all(target_arch = "x86_64", target_feature = "avx512ifma") ))] -fn dispatch_hybrid< - BF: Field, - EF: Field + From, - S: crate::simd_fields::SimdBaseField, ->( +fn dispatch_hybrid( evaluations: &[BF], - transcript: &mut impl Transcript, + transcript: &mut T, + hook: &mut H, num_rounds: usize, prover_messages: &mut Vec<(EF, EF)>, verifier_messages: &mut Vec, -) { +) where + BF: Field, + EF: Field + From, + T: Transcript, + H: FnMut(usize, &mut T), + S: crate::simd_fields::SimdBaseField, +{ use crate::multilinear::reductions::pairwise; use crate::simd_sumcheck::evaluate::evaluate_parallel; @@ -519,13 +547,15 @@ fn dispatch_hybrid< transcript.write(msg.0); transcript.write(msg.1); + hook(0, transcript); + let chg: EF = transcript.read(); verifier_messages.push(chg); let mut ef_evals = pairwise::cross_field_reduce(evaluations, chg); // ── Rounds 1+: EF evaluate (SIMD) + EF reduce (generic) ────── - for _ in 1..num_rounds { + for round in 1..num_rounds { let buf: &[u64] = unsafe { core::slice::from_raw_parts(ef_evals.as_ptr() as *const u64, ef_evals.len()) }; let (s0, s1) = evaluate_parallel::(buf); @@ -535,6 +565,8 @@ fn dispatch_hybrid< transcript.write(msg.0); transcript.write(msg.1); + hook(round, transcript); + let chg: EF = transcript.read(); verifier_messages.push(chg); @@ -551,11 +583,18 @@ fn dispatch_hybrid< target_arch = "aarch64", all(target_arch = "x86_64", target_feature = "avx512ifma") ))] -pub(crate) fn try_simd_product_dispatch>( +pub(crate) fn try_simd_product_dispatch( f: &mut [BF], g: &mut [BF], - transcript: &mut impl Transcript, -) -> Option> { + transcript: &mut T, + hook: &mut H, +) -> Option> +where + BF: Field, + EF: Field + From, + T: Transcript, + H: FnMut(usize, &mut T), +{ if !(is_goldilocks::() && is_goldilocks::()) { return None; } @@ -594,6 +633,8 @@ pub(crate) fn try_simd_product_dispatch>( transcript.write(msg.0); transcript.write(msg.1); + hook(round, transcript); + let chg_ef: EF = transcript.read(); verifier_messages.push(chg_ef); @@ -999,11 +1040,18 @@ pub(crate) fn aos_to_soa_ext3(src: &[u64]) -> (Vec, Vec, Vec) { target_arch = "aarch64", all(target_arch = "x86_64", target_feature = "avx512ifma") ))] -pub(crate) fn try_simd_ext_product_dispatch>( +pub(crate) fn try_simd_ext_product_dispatch( f: &mut [BF], g: &mut [BF], - transcript: &mut impl Transcript, -) -> Option> { + transcript: &mut T, + hook: &mut H, +) -> Option> +where + BF: Field, + EF: Field + From, + T: Transcript, + H: FnMut(usize, &mut T), +{ if !is_goldilocks_based::() { return None; } @@ -1070,6 +1118,8 @@ pub(crate) fn try_simd_ext_product_dispatch>( transcript.write(msg.0); transcript.write(msg.1); + hook(round, transcript); + let chg: EF = transcript.read(); verifier_messages.push(chg); @@ -1137,6 +1187,8 @@ pub(crate) fn try_simd_ext_product_dispatch>( transcript.write(msg.0); transcript.write(msg.1); + hook(round, transcript); + let chg: EF = transcript.read(); verifier_messages.push(chg); From 21b272985cc6b49ba307af7b8cdf34f7a0f5f181 Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Mon, 13 Apr 2026 12:36:28 +0200 Subject: [PATCH 33/52] more support --- src/inner_product_sumcheck.rs | 63 ++++++++++++++++++++++++ src/multilinear/sumcheck.rs | 11 ++++- src/multilinear_product/sumcheck.rs | 11 +++++ src/multilinear_sumcheck.rs | 57 ++++++++++++++++++++++ src/simd_sumcheck/dispatch.rs | 75 ++++++++++++++++++++++++++--- 5 files changed, 209 insertions(+), 8 deletions(-) diff --git a/src/inner_product_sumcheck.rs b/src/inner_product_sumcheck.rs index b01e1ce0..1a3d0221 100644 --- a/src/inner_product_sumcheck.rs +++ b/src/inner_product_sumcheck.rs @@ -151,6 +151,7 @@ where let num_rounds = f.len().trailing_zeros() as usize; let mut prover_messages: Vec<(EF, EF)> = vec![]; let mut verifier_messages: Vec = vec![]; + let mut final_evaluations = (EF::ZERO, EF::ZERO); // ── Round 0: evaluate in BF, lift to EF, cross-field reduce ── if num_rounds > 0 { @@ -189,11 +190,16 @@ where crate::simd_ops::fold(&mut ef_f, chg); crate::simd_ops::fold(&mut ef_g, chg); } + + debug_assert_eq!(ef_f.len(), 1); + debug_assert_eq!(ef_g.len(), 1); + final_evaluations = (ef_f[0], ef_g[0]); } ProductSumcheck { verifier_messages, prover_messages, + final_evaluations, } } @@ -472,6 +478,63 @@ mod tests { } } + fn fold_multilinear(evals: &[F], challenges: &[F]) -> F { + let mut current = evals.to_vec(); + for &chg in challenges { + let mut next = Vec::with_capacity(current.len() / 2); + for pair in current.chunks(2) { + next.push(pair[0] + chg * (pair[1] - pair[0])); + } + current = next; + } + debug_assert_eq!(current.len(), 1); + current[0] + } + + #[test] + fn test_final_evaluations_match_independent_fold_base() { + use crate::transcript::SanityTranscript; + + let num_vars = 8; + let n = 1 << num_vars; + let mut rng = test_rng(); + let f_orig: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let g_orig: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + + let mut f = f_orig.clone(); + let mut g = g_orig.clone(); + let mut transcript = SanityTranscript::new(&mut rng); + let result = inner_product_sumcheck::(&mut f, &mut g, &mut transcript); + + let expected_f = fold_multilinear(&f_orig, &result.verifier_messages); + let expected_g = fold_multilinear(&g_orig, &result.verifier_messages); + assert_eq!(result.final_evaluations.0, expected_f, "f final mismatch"); + assert_eq!(result.final_evaluations.1, expected_g, "g final mismatch"); + } + + #[test] + fn test_final_evaluations_match_independent_fold_ext2() { + use crate::tests::F64Ext2; + use crate::transcript::SanityTranscript; + + let num_vars = 8; + let n = 1 << num_vars; + let mut rng = test_rng(); + let f_orig: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); + let g_orig: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); + + let mut f = f_orig.clone(); + let mut g = g_orig.clone(); + let mut transcript = SanityTranscript::new(&mut rng); + let result = + inner_product_sumcheck::(&mut f, &mut g, &mut transcript); + + let expected_f = fold_multilinear(&f_orig, &result.verifier_messages); + let expected_g = fold_multilinear(&g_orig, &result.verifier_messages); + assert_eq!(result.final_evaluations.0, expected_f, "ext2 f final mismatch"); + assert_eq!(result.final_evaluations.1, expected_g, "ext2 g final mismatch"); + } + #[test] fn test_with_hook_called_once_per_round() { use crate::transcript::SanityTranscript; diff --git a/src/multilinear/sumcheck.rs b/src/multilinear/sumcheck.rs index 3282f6f5..8d869aab 100644 --- a/src/multilinear/sumcheck.rs +++ b/src/multilinear/sumcheck.rs @@ -7,6 +7,12 @@ use crate::{prover::Prover, streams::Stream}; pub struct Sumcheck { pub prover_messages: Vec<(F, F)>, pub verifier_messages: Vec, + /// The multilinear polynomial evaluated at the verifier challenge point + /// `(r_0, ..., r_{n-1})`. Populated by [`crate::multilinear_sumcheck`] and + /// [`crate::multilinear_sumcheck_with_hook`] (and all their SIMD dispatch + /// paths). The legacy [`Sumcheck::prove`] constructor leaves this as + /// `F::ZERO` — it's a low-level test helper that doesn't surface fold state. + pub final_evaluation: F, } impl Sumcheck { @@ -46,10 +52,13 @@ impl Sumcheck { verifier_message = Some(F::rand(rng)); } - // Return a Sumcheck struct with the collected messages and acceptance status + // Return a Sumcheck struct with the collected messages and acceptance status. + // NOTE: `final_evaluation` is not tracked by the generic `Prover` trait; + // see field doc. Sumcheck { prover_messages, verifier_messages, + final_evaluation: F::ZERO, } } } diff --git a/src/multilinear_product/sumcheck.rs b/src/multilinear_product/sumcheck.rs index 19b07761..a77bb535 100644 --- a/src/multilinear_product/sumcheck.rs +++ b/src/multilinear_product/sumcheck.rs @@ -18,6 +18,14 @@ use crate::{prover::Prover, streams::Stream}; pub struct ProductSumcheck { pub prover_messages: Vec<(F, F)>, pub verifier_messages: Vec, + /// The two input polynomials evaluated at the verifier challenge point + /// `(r_0, ..., r_{n-1})`: `(f(r), g(r))`. Populated by + /// [`crate::inner_product_sumcheck`] and + /// [`crate::inner_product_sumcheck_with_hook`] (and all their SIMD + /// dispatch paths). The legacy [`ProductSumcheck::prove`] constructor + /// leaves this as `(F::ZERO, F::ZERO)` — it's a low-level test helper + /// that doesn't surface fold state. + pub final_evaluations: (F, F), } impl ProductSumcheck { @@ -64,9 +72,12 @@ impl ProductSumcheck { verifier_message = Some(F::rand(rng)); } + // NOTE: `final_evaluations` is not tracked by the generic `Prover` + // trait; see field doc. ProductSumcheck { prover_messages, verifier_messages, + final_evaluations: (F::ZERO, F::ZERO), } } } diff --git a/src/multilinear_sumcheck.rs b/src/multilinear_sumcheck.rs index 2ba5e5ef..6b53a61d 100644 --- a/src/multilinear_sumcheck.rs +++ b/src/multilinear_sumcheck.rs @@ -111,6 +111,7 @@ where let num_rounds = evaluations.len().trailing_zeros() as usize; let mut prover_messages: Vec<(EF, EF)> = vec![]; let mut verifier_messages: Vec = vec![]; + let mut final_evaluation = EF::ZERO; // ── Round 0: evaluate in BF, lift to EF, cross-field reduce ── if num_rounds > 0 { @@ -195,11 +196,17 @@ where } pairwise::reduce_evaluations(&mut ef_evals, chg); } + + // After all rounds, ef_evals is length 1: the polynomial evaluated at + // the verifier challenge point. + debug_assert_eq!(ef_evals.len(), 1); + final_evaluation = ef_evals[0]; } Sumcheck { verifier_messages, prover_messages, + final_evaluation, } } @@ -381,6 +388,56 @@ mod tests { } } + /// Independent fold: evaluate the multilinear at the verifier challenges + /// and compare against `Sumcheck::final_evaluation` populated by the entry point. + fn fold_multilinear(evals: &[F], challenges: &[F]) -> F { + let mut current = evals.to_vec(); + for &chg in challenges { + let mut next = Vec::with_capacity(current.len() / 2); + for pair in current.chunks(2) { + next.push(pair[0] + chg * (pair[1] - pair[0])); + } + current = next; + } + debug_assert_eq!(current.len(), 1); + current[0] + } + + #[test] + fn test_final_evaluation_matches_independent_fold_base() { + use crate::transcript::SanityTranscript; + + let num_vars = 8; + let n = 1 << num_vars; + let mut rng = test_rng(); + let evals_orig: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + + let mut evals = evals_orig.clone(); + let mut transcript = SanityTranscript::new(&mut rng); + let result = multilinear_sumcheck::(&mut evals, &mut transcript); + + let expected = fold_multilinear(&evals_orig, &result.verifier_messages); + assert_eq!(result.final_evaluation, expected, "ML final_evaluation mismatch"); + } + + #[test] + fn test_final_evaluation_matches_independent_fold_ext2() { + use crate::tests::F64Ext2; + use crate::transcript::SanityTranscript; + + let num_vars = 8; + let n = 1 << num_vars; + let mut rng = test_rng(); + let evals_orig: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); + + let mut evals = evals_orig.clone(); + let mut transcript = SanityTranscript::new(&mut rng); + let result = multilinear_sumcheck::(&mut evals, &mut transcript); + + let expected = fold_multilinear(&evals_orig, &result.verifier_messages); + assert_eq!(result.final_evaluation, expected, "ext2 ML final_evaluation mismatch"); + } + #[test] fn test_with_hook_called_once_per_round() { use crate::transcript::SanityTranscript; diff --git a/src/simd_sumcheck/dispatch.rs b/src/simd_sumcheck/dispatch.rs index a8952c74..ed710216 100644 --- a/src/simd_sumcheck/dispatch.rs +++ b/src/simd_sumcheck/dispatch.rs @@ -224,7 +224,7 @@ where #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] const HYBRID_THRESHOLD: usize = 1 << 30; - if n <= HYBRID_THRESHOLD { + let final_evaluation = if n <= HYBRID_THRESHOLD { dispatch_all_simd::( evaluations, transcript, @@ -232,7 +232,7 @@ where num_rounds, &mut prover_messages, &mut verifier_messages, - ); + ) } else { dispatch_hybrid::( evaluations, @@ -241,12 +241,13 @@ where num_rounds, &mut prover_messages, &mut verifier_messages, - ); - } + ) + }; Some(Sumcheck { verifier_messages, prover_messages, + final_evaluation, }) } @@ -298,6 +299,7 @@ where let num_rounds = n.trailing_zeros() as usize; let mut prover_messages: Vec<(EF, EF)> = Vec::with_capacity(num_rounds); let mut verifier_messages: Vec = Vec::with_capacity(num_rounds); + let mut final_evaluation = EF::ZERO; // View evaluations as flat u64 buffer let n_u64 = n * d; @@ -373,6 +375,13 @@ where len = new_len; pending_eval = Some((next_even, next_odd)); } + } else { + // Last round: fold the surviving pair with the final challenge + // (in EF arithmetic — independent of `w`). + debug_assert_eq!(len, 2); + let v0: EF = unsafe { ext_components_to_field(&[c0[0], c1[0]]) }; + let v1: EF = unsafe { ext_components_to_field(&[c0[1], c1[1]]) }; + final_evaluation = v0 + chg * (v1 - v0); } } } else { @@ -435,6 +444,11 @@ where len = new_len; pending_eval = Some((next_even, next_odd)); } + } else { + debug_assert_eq!(len, 2); + let v0: EF = unsafe { ext_components_to_field(&[c0[0], c1[0], c2[0]]) }; + let v1: EF = unsafe { ext_components_to_field(&[c0[1], c1[1], c2[1]]) }; + final_evaluation = v0 + chg * (v1 - v0); } } } @@ -442,6 +456,7 @@ where Some(Sumcheck { verifier_messages, prover_messages, + final_evaluation, }) } @@ -458,7 +473,8 @@ fn dispatch_all_simd( num_rounds: usize, prover_messages: &mut Vec<(EF, EF)>, verifier_messages: &mut Vec, -) where +) -> EF +where BF: Field, EF: Field + From, T: Transcript, @@ -505,8 +521,15 @@ fn dispatch_all_simd( len = reduce_in_place::(&mut current[..len], chg); pending_eval = None; } + } else if num_rounds > 0 { + // Last round: fold the surviving pair with the final challenge. + debug_assert_eq!(len, 2); + let v0: EF = u64_to_field(current[0]); + let v1: EF = u64_to_field(current[1]); + return v0 + chg_ef * (v1 - v0); } } + EF::ZERO } /// Hybrid path: SIMD evaluate + generic arkworks reduce. @@ -522,7 +545,8 @@ fn dispatch_hybrid( num_rounds: usize, prover_messages: &mut Vec<(EF, EF)>, verifier_messages: &mut Vec, -) where +) -> EF +where BF: Field, EF: Field + From, T: Transcript, @@ -535,7 +559,7 @@ fn dispatch_hybrid( let n = evaluations.len(); if num_rounds == 0 { - return; + return EF::ZERO; } // ── Round 0: BF evaluate (SIMD) + cross-field reduce ────────── @@ -572,6 +596,9 @@ fn dispatch_hybrid( pairwise::reduce_evaluations(&mut ef_evals, chg); } + + debug_assert_eq!(ef_evals.len(), 1); + ef_evals[0] } // ─── Inner product dispatch ───────────────────────────────────────────────── @@ -616,6 +643,7 @@ where let num_rounds = n.trailing_zeros() as usize; let mut prover_messages: Vec<(EF, EF)> = Vec::with_capacity(num_rounds); let mut verifier_messages: Vec = Vec::with_capacity(num_rounds); + let mut final_evaluations = (EF::ZERO, EF::ZERO); if num_rounds > 0 { let f_raw: &mut [u64] = @@ -642,6 +670,16 @@ where let chg: u64 = field_to_u64(chg_ef); // Reduce both f and g in one interleaved pass (saves one full data read) len = reduce_both_in_place::(&mut f_raw[..len], &mut g_raw[..len], chg); + } else { + // Last round: compute the final folded values using the last + // challenge. The loop guard skips the in-place reduce, so + // f_raw[0..2] and g_raw[0..2] still hold the surviving pair. + debug_assert_eq!(len, 2); + let f0: EF = u64_to_field(f_raw[0]); + let f1: EF = u64_to_field(f_raw[1]); + let g0: EF = u64_to_field(g_raw[0]); + let g1: EF = u64_to_field(g_raw[1]); + final_evaluations = (f0 + chg_ef * (f1 - f0), g0 + chg_ef * (g1 - g0)); } } } @@ -649,6 +687,7 @@ where Some(crate::multilinear_product::ProductSumcheck { verifier_messages, prover_messages, + final_evaluations, }) } @@ -1074,6 +1113,7 @@ where let num_rounds = n.trailing_zeros() as usize; let mut prover_messages: Vec<(EF, EF)> = Vec::with_capacity(num_rounds); let mut verifier_messages: Vec = Vec::with_capacity(num_rounds); + let mut final_evaluations = (EF::ZERO, EF::ZERO); // Convert both f and g from AoS → SoA let f_u64: &[u64] = @@ -1153,6 +1193,15 @@ where ); len = new_len; } + } else { + // Last round: compute final folded values from the surviving + // pair using EF arithmetic. + debug_assert_eq!(len, 2); + let f0: EF = unsafe { ext_components_to_field(&[f_c0[0], f_c1[0]]) }; + let f1: EF = unsafe { ext_components_to_field(&[f_c0[1], f_c1[1]]) }; + let g0: EF = unsafe { ext_components_to_field(&[g_c0[0], g_c1[0]]) }; + let g1: EF = unsafe { ext_components_to_field(&[g_c0[1], g_c1[1]]) }; + final_evaluations = (f0 + chg * (f1 - f0), g0 + chg * (g1 - g0)); } } } else { @@ -1222,6 +1271,17 @@ where ); len = new_len; } + } else { + debug_assert_eq!(len, 2); + let f0: EF = + unsafe { ext_components_to_field(&[f_c0[0], f_c1[0], f_c2[0]]) }; + let f1: EF = + unsafe { ext_components_to_field(&[f_c0[1], f_c1[1], f_c2[1]]) }; + let g0: EF = + unsafe { ext_components_to_field(&[g_c0[0], g_c1[0], g_c2[0]]) }; + let g1: EF = + unsafe { ext_components_to_field(&[g_c0[1], g_c1[1], g_c2[1]]) }; + final_evaluations = (f0 + chg * (f1 - f0), g0 + chg * (g1 - g0)); } } } @@ -1229,6 +1289,7 @@ where Some(crate::multilinear_product::ProductSumcheck { verifier_messages, prover_messages, + final_evaluations, }) } From 1bdf532a36482af3e46e19ebb668f37b5591008a Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Mon, 13 Apr 2026 13:25:44 +0200 Subject: [PATCH 34/52] chkpt --- src/lib.rs | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/src/lib.rs b/src/lib.rs index 83402165..34943e09 100644 --- a/src/lib.rs +++ b/src/lib.rs @@ -33,9 +33,12 @@ mod inner_product_sumcheck; mod multilinear_sumcheck; pub use inner_product_sumcheck::{ - accumulate_sparse_evaluations, batched_constraint_poly, inner_product_sumcheck, ProductSumcheck, + accumulate_sparse_evaluations, batched_constraint_poly, inner_product_sumcheck, + inner_product_sumcheck_with_hook, ProductSumcheck, +}; +pub use multilinear_sumcheck::{ + multilinear_sumcheck, multilinear_sumcheck_with_hook, Sumcheck, }; -pub use multilinear_sumcheck::{multilinear_sumcheck, Sumcheck}; // ─── Internal / Advanced ───────────────────────────────────────────────────── From 139589a87b7593246098fbf86e846c3785a80f8c Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Mon, 13 Apr 2026 18:08:20 +0200 Subject: [PATCH 35/52] more integration --- src/inner_product_sumcheck.rs | 122 +++++++++++++++++++++++++++- src/lib.rs | 5 +- src/multilinear_product/sumcheck.rs | 90 ++++++++++++++++---- src/multilinear_sumcheck.rs | 108 +++++++++++++++++++++++- 4 files changed, 303 insertions(+), 22 deletions(-) diff --git a/src/inner_product_sumcheck.rs b/src/inner_product_sumcheck.rs index 1a3d0221..a31899f3 100644 --- a/src/inner_product_sumcheck.rs +++ b/src/inner_product_sumcheck.rs @@ -109,6 +109,75 @@ pub fn inner_product_sumcheck>( /// /// See [`crate::multilinear_sumcheck_with_hook`] for the motivating use case /// (per-round proof-of-work grinding, etc.). +/// Partial inner-product sumcheck: runs `max_rounds` rounds and stops. +/// +/// Folds `f` and `g` in place (truncating them to length `original / 2^max_rounds`) +/// so the caller can feed them into a subsequent partial sumcheck call. This +/// is the shape recursive IOPs (e.g. whir) need: between rounds the caller +/// commits, opens, and mutates the running claim before continuing. +/// +/// Requires `BF = EF = F` (no cross-field lift). Uses SIMD-accelerated +/// [`crate::simd_ops::pairwise_product_sum`] and [`crate::simd_ops::fold_both`] +/// per round, so SIMD dispatch happens under the hood — but without the +/// fused reduce+evaluate optimization the full-sumcheck dispatch has. For +/// whir-style calls where `max_rounds` is small (e.g. a folding factor), this +/// is the right tradeoff. +/// +/// `ProductSumcheck::final_evaluations` is populated only if `max_rounds` +/// reduces `f` to length 1 (i.e., a complete sumcheck); otherwise +/// `(F::ZERO, F::ZERO)`. The caller uses `f[0]` / `g[0]` of the returned +/// folded vectors for the intermediate state. +pub fn inner_product_sumcheck_partial_with_hook( + f: &mut Vec, + g: &mut Vec, + transcript: &mut T, + max_rounds: usize, + mut hook: H, +) -> ProductSumcheck +where + F: Field, + T: Transcript, + H: FnMut(usize, &mut T), +{ + assert_eq!(f.len(), g.len()); + assert!(f.len().count_ones() == 1, "length must be a power of 2"); + let total_rounds = f.len().trailing_zeros() as usize; + assert!( + max_rounds <= total_rounds, + "max_rounds ({max_rounds}) exceeds available rounds ({total_rounds})" + ); + + let mut prover_messages: Vec<(F, F)> = Vec::with_capacity(max_rounds); + let mut verifier_messages: Vec = Vec::with_capacity(max_rounds); + + for round in 0..max_rounds { + let msg = crate::simd_ops::pairwise_product_sum(f, g); + + prover_messages.push(msg); + transcript.write(msg.0); + transcript.write(msg.1); + + hook(round, transcript); + + let chg = transcript.read(); + verifier_messages.push(chg); + + crate::simd_ops::fold_both(f, g, chg); + } + + let final_evaluations = if f.len() == 1 { + (f[0], g[0]) + } else { + (F::ZERO, F::ZERO) + }; + + ProductSumcheck { + prover_messages, + verifier_messages, + final_evaluations, + } +} + pub fn inner_product_sumcheck_with_hook( f: &mut [BF], g: &mut [BF], @@ -206,7 +275,7 @@ where #[cfg(test)] mod tests { use super::*; - use ark_ff::UniformRand; + use ark_ff::{AdditiveGroup, UniformRand}; use ark_std::test_rng; use crate::tests::F64; @@ -535,6 +604,57 @@ mod tests { assert_eq!(result.final_evaluations.1, expected_g, "ext2 g final mismatch"); } + #[test] + fn test_partial_split_matches_full() { + // Running partial(N rounds) then partial(M rounds) on the folded state + // must produce the same transcript as a single full run of N+M rounds. + use crate::transcript::SanityTranscript; + + let num_vars = 8; + let n = 1 << num_vars; + let split_at = 3; + let mut rng = test_rng(); + let f_orig: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let g_orig: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + + // Full: single end-to-end run. + let mut rng1 = test_rng(); + let mut f_full = f_orig.clone(); + let mut g_full = g_orig.clone(); + let mut t_full = SanityTranscript::new(&mut rng1); + let full = inner_product_sumcheck::(&mut f_full, &mut g_full, &mut t_full); + + // Split: two partial runs on the same transcript. + let mut rng2 = test_rng(); + let mut f = f_orig.clone(); + let mut g = g_orig.clone(); + let mut t_split = SanityTranscript::new(&mut rng2); + let first = inner_product_sumcheck_partial_with_hook( + &mut f, + &mut g, + &mut t_split, + split_at, + |_, _| {}, + ); + let second = inner_product_sumcheck_partial_with_hook( + &mut f, + &mut g, + &mut t_split, + num_vars - split_at, + |_, _| {}, + ); + + let mut split_prover_msgs = first.prover_messages.clone(); + split_prover_msgs.extend(second.prover_messages.iter().copied()); + let mut split_verifier_msgs = first.verifier_messages.clone(); + split_verifier_msgs.extend(second.verifier_messages.iter().copied()); + + assert_eq!(split_prover_msgs, full.prover_messages, "prover msgs"); + assert_eq!(split_verifier_msgs, full.verifier_messages, "verifier msgs"); + assert_eq!(second.final_evaluations, full.final_evaluations, "final"); + assert_eq!(first.final_evaluations, (F64::ZERO, F64::ZERO), "partial final should be zero"); + } + #[test] fn test_with_hook_called_once_per_round() { use crate::transcript::SanityTranscript; diff --git a/src/lib.rs b/src/lib.rs index 34943e09..137a40e4 100644 --- a/src/lib.rs +++ b/src/lib.rs @@ -34,10 +34,11 @@ mod multilinear_sumcheck; pub use inner_product_sumcheck::{ accumulate_sparse_evaluations, batched_constraint_poly, inner_product_sumcheck, - inner_product_sumcheck_with_hook, ProductSumcheck, + inner_product_sumcheck_partial_with_hook, inner_product_sumcheck_with_hook, ProductSumcheck, }; pub use multilinear_sumcheck::{ - multilinear_sumcheck, multilinear_sumcheck_with_hook, Sumcheck, + multilinear_sumcheck, multilinear_sumcheck_partial_with_hook, multilinear_sumcheck_with_hook, + Sumcheck, }; // ─── Internal / Advanced ───────────────────────────────────────────────────── diff --git a/src/multilinear_product/sumcheck.rs b/src/multilinear_product/sumcheck.rs index a77bb535..4c42a1dc 100644 --- a/src/multilinear_product/sumcheck.rs +++ b/src/multilinear_product/sumcheck.rs @@ -5,15 +5,21 @@ use crate::{prover::Prover, streams::Stream}; /// Transcript for the inner product sumcheck protocol. /// -/// Each round the prover sends two coefficients `(a, b)` of the degree-2 -/// round polynomial `q(x) = a + bx + cx²`, where: -/// - `a = q(0) = Σ f_even · g_even` (even-even products) -/// - `b = Σ (f_even · g_odd + f_odd · g_even)` (cross-term, linear coefficient) +/// Each round the prover sends `(a, b)`: +/// - `a = q(0) = Σ f_even · g_even` (constant coefficient) +/// - `b = Σ (f_even · g_odd + f_odd · g_even)` (raw cross sum) /// -/// The verifier derives `c = claim - 2a - b` from the constraint `q(0) + q(1) = claim`, -/// then evaluates `q(r) = a + br + cr²` at the challenge `r` to get the next round's claim. +/// The true round polynomial `q(X) = a + L·X + Q·X²` has: +/// - `L = b − 2a` (linear coefficient) +/// - `Q = claim − b` (quadratic coefficient) /// -/// This saves 1/3 communication vs sending all three evaluations `(s(0), s(1), s(1/2))`. +/// derived from the constraint `q(0) + q(1) = claim` together with the identities +/// `L = Σ(f_e·g_o + f_o·g_e) − 2·Σ f_e·g_e = b − 2a` and +/// `q(1) = Σ f_o·g_o = claim − a`, hence `Q = q(1) − a − L = claim − b`. +/// +/// Wire format is `(a, b)` rather than e.g. `(q(0), q(1))` because the raw cross +/// sum is one fewer subtraction per lane on the prover side. See +/// [`ProductSumcheck::evaluate_round_poly`] for the reconstruction. #[derive(Debug, PartialEq)] pub struct ProductSumcheck { pub prover_messages: Vec<(F, F)>, @@ -29,14 +35,17 @@ pub struct ProductSumcheck { } impl ProductSumcheck { - /// Evaluate the degree-2 round polynomial at `r` given coefficients `(a, b)` - /// and the current claim (where `q(0) + q(1) = claim`). + /// Evaluate the degree-2 round polynomial at `r` from the wire-format + /// message `(a, b)` and the current claim. /// - /// Derives `c = claim - 2a - b`, then returns `q(r) = a + br + cr²`. + /// `a = q(0) = Σ f_e·g_e` (constant coefficient), `b = Σ(f_e·g_o + f_o·g_e)` + /// (raw cross sum). The true round polynomial is + /// `q(X) = a + (b − 2a)·X + (claim − b)·X²`; this function returns `q(r)`. #[inline] pub fn evaluate_round_poly(r: F, a: F, b: F, claim: F) -> F { - let c = claim - a.double() - b; - a + b * r + c * r.square() + let linear = b - a.double(); + let quadratic = claim - b; + a + linear * r + quadratic * r.square() } pub fn prove(prover: &mut P, rng: &mut impl Rng) -> Self @@ -88,6 +97,7 @@ mod tests { multilinear_product::TimeProductProver, tests::{multilinear_product::consistency_test, BenchStream, F64}, }; + use ark_ff::{AdditiveGroup, Field}; #[test] fn algorithm_consistency() { @@ -100,18 +110,62 @@ mod tests { use ark_ff::UniformRand; use ark_std::test_rng; + // Exercise the real wire convention: `b` is the raw cross sum + // `Σ(f_e·g_o + f_o·g_e)`, NOT the linear coefficient of q. The linear + // coefficient is `b − 2a` and the quadratic is `claim − b`. let mut rng = test_rng(); for _ in 0..1000 { - let a = F64::rand(&mut rng); - let b = F64::rand(&mut rng); - let c = F64::rand(&mut rng); + // Sample a random degree-2 polynomial via its coefficients. + let a = F64::rand(&mut rng); // q(0) + let linear = F64::rand(&mut rng); // linear coefficient of q + let quadratic = F64::rand(&mut rng); // quadratic coefficient of q let r = F64::rand(&mut rng); - // claim = q(0) + q(1) = a + (a + b + c) = 2a + b + c - let claim = a + a + b + c; - let expected = a + b * r + c * r * r; + // Reconstruct wire-format b: linear = b − 2a ⇒ b = linear + 2a. + let b = linear + a.double(); + // claim = q(0) + q(1) = 2a + linear + quadratic. + let claim = a.double() + linear + quadratic; + + let expected = a + linear * r + quadratic * r.square(); let got = ProductSumcheck::::evaluate_round_poly(r, a, b, claim); assert_eq!(expected, got); } } + + /// End-to-end check: wire what the prover actually writes into + /// `evaluate_round_poly` and confirm it reconstructs `q(r)` correctly. + /// Catches protocol-convention regressions between prover and verifier. + #[test] + fn test_evaluate_round_poly_matches_prover_output() { + use super::ProductSumcheck; + use crate::multilinear_product::provers::time::reductions::pairwise::pairwise_product_evaluate_slices; + use ark_ff::UniformRand; + use ark_std::test_rng; + + let mut rng = test_rng(); + let n = 1 << 8; + let f: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let g: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + + let (a, b) = pairwise_product_evaluate_slices(&f, &g); + // claim = q(0) + q(1) = Σ f·g (inner product over full cube) + let claim: F64 = f.iter().zip(g.iter()).map(|(fi, gi)| *fi * *gi).sum(); + + let r = F64::rand(&mut rng); + + // Reference: evaluate q(r) where q(X) = f(X)·g(X) summed over the rest of the cube, + // computed directly by folding f and g at r then taking the inner product. + let mut ff = f.clone(); + let mut gg = g.clone(); + for pair in ff.chunks_mut(2) { + pair[0] = pair[0] + r * (pair[1] - pair[0]); + } + for pair in gg.chunks_mut(2) { + pair[0] = pair[0] + r * (pair[1] - pair[0]); + } + let expected: F64 = (0..n / 2).map(|k| ff[2 * k] * gg[2 * k]).sum(); + + let got = ProductSumcheck::::evaluate_round_poly(r, a, b, claim); + assert_eq!(got, expected, "evaluate_round_poly disagrees with folded prover output"); + } } diff --git a/src/multilinear_sumcheck.rs b/src/multilinear_sumcheck.rs index 6b53a61d..e2f0ffb5 100644 --- a/src/multilinear_sumcheck.rs +++ b/src/multilinear_sumcheck.rs @@ -57,6 +57,70 @@ pub fn multilinear_sumcheck>( /// extensions to the transcript that must appear at a specific point in the /// Fiat-Shamir schedule. The hook is invoked for every round (0..num_rounds), /// including the round-0 base-field message on cross-field sumchecks. +/// Partial multilinear sumcheck: runs `max_rounds` rounds and stops. +/// +/// Folds `evaluations` in place (truncating to length `original / 2^max_rounds`) +/// so the caller can feed it into a subsequent partial sumcheck call. See +/// [`crate::inner_product_sumcheck_partial_with_hook`] for the motivating +/// shape (recursive IOPs like whir). +/// +/// Requires `BF = EF = F` (no cross-field lift). Uses +/// [`crate::simd_ops::pairwise_sum`] and [`crate::simd_ops::fold`] per round. +/// +/// `Sumcheck::final_evaluation` is populated only if `max_rounds` reduces +/// `evaluations` to length 1; otherwise `F::ZERO`. +pub fn multilinear_sumcheck_partial_with_hook( + evaluations: &mut Vec, + transcript: &mut T, + max_rounds: usize, + mut hook: H, +) -> Sumcheck +where + F: Field, + T: Transcript, + H: FnMut(usize, &mut T), +{ + assert!( + evaluations.len().count_ones() == 1, + "length must be a power of 2" + ); + let total_rounds = evaluations.len().trailing_zeros() as usize; + assert!( + max_rounds <= total_rounds, + "max_rounds ({max_rounds}) exceeds available rounds ({total_rounds})" + ); + + let mut prover_messages: Vec<(F, F)> = Vec::with_capacity(max_rounds); + let mut verifier_messages: Vec = Vec::with_capacity(max_rounds); + + for round in 0..max_rounds { + let msg = crate::simd_ops::pairwise_sum(evaluations); + + prover_messages.push(msg); + transcript.write(msg.0); + transcript.write(msg.1); + + hook(round, transcript); + + let chg = transcript.read(); + verifier_messages.push(chg); + + crate::simd_ops::fold(evaluations, chg); + } + + let final_evaluation = if evaluations.len() == 1 { + evaluations[0] + } else { + F::ZERO + }; + + Sumcheck { + prover_messages, + verifier_messages, + final_evaluation, + } +} + pub fn multilinear_sumcheck_with_hook( evaluations: &mut [BF], transcript: &mut T, @@ -213,7 +277,7 @@ where #[cfg(test)] mod tests { use super::*; - use ark_ff::UniformRand; + use ark_ff::{AdditiveGroup, UniformRand}; use ark_std::test_rng; use crate::tests::F64; @@ -438,6 +502,48 @@ mod tests { assert_eq!(result.final_evaluation, expected, "ext2 ML final_evaluation mismatch"); } + #[test] + fn test_partial_split_matches_full() { + use crate::transcript::SanityTranscript; + + let num_vars = 8; + let n = 1 << num_vars; + let split_at = 3; + let mut rng = test_rng(); + let evals_orig: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + + let mut rng1 = test_rng(); + let mut evals_full = evals_orig.clone(); + let mut t_full = SanityTranscript::new(&mut rng1); + let full = multilinear_sumcheck::(&mut evals_full, &mut t_full); + + let mut rng2 = test_rng(); + let mut evals = evals_orig.clone(); + let mut t_split = SanityTranscript::new(&mut rng2); + let first = multilinear_sumcheck_partial_with_hook( + &mut evals, + &mut t_split, + split_at, + |_, _| {}, + ); + let second = multilinear_sumcheck_partial_with_hook( + &mut evals, + &mut t_split, + num_vars - split_at, + |_, _| {}, + ); + + let mut split_prover_msgs = first.prover_messages.clone(); + split_prover_msgs.extend(second.prover_messages.iter().copied()); + let mut split_verifier_msgs = first.verifier_messages.clone(); + split_verifier_msgs.extend(second.verifier_messages.iter().copied()); + + assert_eq!(split_prover_msgs, full.prover_messages, "prover msgs"); + assert_eq!(split_verifier_msgs, full.verifier_messages, "verifier msgs"); + assert_eq!(second.final_evaluation, full.final_evaluation, "final"); + assert_eq!(first.final_evaluation, F64::ZERO, "partial final should be zero"); + } + #[test] fn test_with_hook_called_once_per_round() { use crate::transcript::SanityTranscript; From 432744c21535ca6cb5f9efe5b8b63d132f1e427e Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Mon, 13 Apr 2026 19:43:58 +0200 Subject: [PATCH 36/52] chkpt --- src/inner_product_sumcheck.rs | 13 ++ src/simd_ops.rs | 153 ++++++++++++++++++++--- src/simd_sumcheck/dispatch.rs | 220 ++++++++++++++++++++++++++++++++++ 3 files changed, 369 insertions(+), 17 deletions(-) diff --git a/src/inner_product_sumcheck.rs b/src/inner_product_sumcheck.rs index a31899f3..d71c56df 100644 --- a/src/inner_product_sumcheck.rs +++ b/src/inner_product_sumcheck.rs @@ -147,6 +147,19 @@ where "max_rounds ({max_rounds}) exceeds available rounds ({total_rounds})" ); + // Fast path: SoA-persistent SIMD dispatch for Goldilocks ext2/ext3 on + // AVX-512. Keeps SoA state across all `max_rounds` rounds — one + // AoS→SoA conversion at entry, one SoA→AoS at exit (vs the per-round + // round-trip of the fallback loop). + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] + { + if let Some(result) = crate::simd_sumcheck::dispatch::try_simd_ext_product_partial_dispatch( + f, g, transcript, max_rounds, &mut hook, + ) { + return result; + } + } + let mut prover_messages: Vec<(F, F)> = Vec::with_capacity(max_rounds); let mut verifier_messages: Vec = Vec::with_capacity(max_rounds); diff --git a/src/simd_ops.rs b/src/simd_ops.rs index adc7c5be..73a21ae0 100644 --- a/src/simd_ops.rs +++ b/src/simd_ops.rs @@ -116,26 +116,92 @@ pub fn fold_both(f: &mut Vec, g: &mut Vec, challenge: F) { fn try_simd_fold_both(f: &mut Vec, g: &mut Vec, challenge: F) -> Option { use crate::simd_sumcheck::dispatch::{field_to_u64_pub, is_goldilocks_pub}; - if !is_goldilocks_pub::() { - return None; - } - #[cfg(target_arch = "aarch64")] type Backend = crate::simd_fields::goldilocks::neon::GoldilocksNeon; #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] type Backend = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; - let n = f.len(); - let f_raw: &mut [u64] = - unsafe { core::slice::from_raw_parts_mut(f.as_mut_ptr() as *mut u64, n) }; - let g_raw: &mut [u64] = - unsafe { core::slice::from_raw_parts_mut(g.as_mut_ptr() as *mut u64, n) }; - let chg: u64 = field_to_u64_pub(challenge); - - let new_len = crate::simd_sumcheck::reduce::reduce_both_in_place::(f_raw, g_raw, chg); - f.truncate(new_len); - g.truncate(new_len); - Some(true) + if is_goldilocks_pub::() { + // Base field: fused interleaved reduce-both kernel. + let n = f.len(); + let f_raw: &mut [u64] = + unsafe { core::slice::from_raw_parts_mut(f.as_mut_ptr() as *mut u64, n) }; + let g_raw: &mut [u64] = + unsafe { core::slice::from_raw_parts_mut(g.as_mut_ptr() as *mut u64, n) }; + let chg: u64 = field_to_u64_pub(challenge); + + let new_len = + crate::simd_sumcheck::reduce::reduce_both_in_place::(f_raw, g_raw, chg); + f.truncate(new_len); + g.truncate(new_len); + return Some(true); + } + + // Ext2/ext3: call ext in-place reduce on f and g directly, sharing the + // challenge/nonresidue setup. Equivalent to `fold(f); fold(g)` but + // avoids the re-dispatch through `try_simd_reduce` → `try_simd_ext_reduce` + // on each call. On AVX-512 these kernels use 8-wide IFMA. + // + // NEON note: the existing ext reduce kernels do scalar Karatsuba under + // the SIMD wrapper (no true vector 64×64 mul). They still help vs the + // generic arkworks reduce for small inputs, but rayon-parallel generic + // reduce beats them at scale. Keep AVX-512-only routing here. + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] + { + use crate::simd_sumcheck::dispatch::{ + extract_nonresidue_ext2, extract_nonresidue_ext3, is_goldilocks_based_pub, + }; + if is_goldilocks_based_pub::() + && core::mem::size_of::() + == (F::extension_degree() as usize) * core::mem::size_of::() + { + let d = F::extension_degree() as usize; + if d == 2 { + let chg_raw: [u64; 2] = unsafe { + let ptr = &challenge as *const F as *const u64; + [*ptr, *ptr.add(1)] + }; + let w = extract_nonresidue_ext2::(); + + let n_f = f.len() * d; + let f_buf: &mut [u64] = + unsafe { core::slice::from_raw_parts_mut(f.as_mut_ptr() as *mut u64, n_f) }; + crate::simd_sumcheck::reduce::ext2_reduce_in_place::(f_buf, chg_raw, w); + + let n_g = g.len() * d; + let g_buf: &mut [u64] = + unsafe { core::slice::from_raw_parts_mut(g.as_mut_ptr() as *mut u64, n_g) }; + crate::simd_sumcheck::reduce::ext2_reduce_in_place::(g_buf, chg_raw, w); + + f.truncate(f.len() / 2); + g.truncate(g.len() / 2); + return Some(true); + } + if d == 3 { + let chg_raw: [u64; 3] = unsafe { + let ptr = &challenge as *const F as *const u64; + [*ptr, *ptr.add(1), *ptr.add(2)] + }; + let w = extract_nonresidue_ext3::(); + + let n_f = f.len() * d; + let f_buf: &mut [u64] = + unsafe { core::slice::from_raw_parts_mut(f.as_mut_ptr() as *mut u64, n_f) }; + crate::simd_sumcheck::reduce::ext3_reduce_in_place::(f_buf, chg_raw, w); + + let n_g = g.len() * d; + let g_buf: &mut [u64] = + unsafe { core::slice::from_raw_parts_mut(g.as_mut_ptr() as *mut u64, n_g) }; + crate::simd_sumcheck::reduce::ext3_reduce_in_place::(g_buf, chg_raw, w); + + f.truncate(f.len() / 2); + g.truncate(g.len() / 2); + return Some(true); + } + } + } + + None } // ─── Product evaluate ─────────────────────────────────────────────────────── @@ -212,6 +278,39 @@ fn try_simd_product_sum(f: &[F], g: &[F]) -> Option<(F, F)> { #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] const EXT_PRODUCT_CHUNK: usize = 1 << 14; // pairs per rayon chunk +/// Below this input size, `simd_ext{2,3}_product_sum` skips rayon entirely +/// and runs sequentially. Rayon's fork/join overhead dominates actual SIMD +/// compute for small inputs (profiling showed ~70% of short-call samples +/// in `_lll_lock_wake_private` / `mprotect`). +#[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] +const EXT_PRODUCT_PARALLEL_THRESHOLD: usize = 1 << 17; + +#[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] +fn aos_to_soa_ext2_serial(src: &[u64]) -> (Vec, Vec) { + let n = src.len() / 2; + let mut c0 = vec![0u64; n]; + let mut c1 = vec![0u64; n]; + for i in 0..n { + c0[i] = src[2 * i]; + c1[i] = src[2 * i + 1]; + } + (c0, c1) +} + +#[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] +fn aos_to_soa_ext3_serial(src: &[u64]) -> (Vec, Vec, Vec) { + let n = src.len() / 3; + let mut c0 = vec![0u64; n]; + let mut c1 = vec![0u64; n]; + let mut c2 = vec![0u64; n]; + for i in 0..n { + c0[i] = src[3 * i]; + c1[i] = src[3 * i + 1]; + c2[i] = src[3 * i + 2]; + } + (c0, c1, c2) +} + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] fn aos_to_soa_ext2_par(src: &[u64]) -> (Vec, Vec) { use rayon::prelude::*; @@ -266,11 +365,21 @@ fn simd_ext2_product_sum(); + + // Serial path for small inputs: rayon's fork/join cost would dominate. + if n <= EXT_PRODUCT_PARALLEL_THRESHOLD { + let (f_c0, f_c1) = aos_to_soa_ext2_serial(f_raw); + let (g_c0, g_c1) = aos_to_soa_ext2_serial(g_raw); + let (a, b) = crate::simd_sumcheck::reduce::ext2_soa_product_evaluate::( + &f_c0, &f_c1, &g_c0, &g_c1, w, + ); + return (pack_ext_u64_to_field::(&a), pack_ext_u64_to_field::(&b)); + } // Parallel AoS → SoA; one pass each for f and g. let ((f_c0, f_c1), (g_c0, g_c1)) = rayon::join(|| aos_to_soa_ext2_par(f_raw), || aos_to_soa_ext2_par(g_raw)); - let w = extract_nonresidue_ext2::(); // Chunks must be pair-aligned (even length). The last chunk may be odd // if n is odd, but pairwise_product_sum always receives even n (pairs). @@ -307,10 +416,20 @@ fn simd_ext3_product_sum(); + + // Serial path for small inputs: rayon's fork/join cost would dominate. + if n <= EXT_PRODUCT_PARALLEL_THRESHOLD { + let (f_c0, f_c1, f_c2) = aos_to_soa_ext3_serial(f_raw); + let (g_c0, g_c1, g_c2) = aos_to_soa_ext3_serial(g_raw); + let (a, b) = crate::simd_sumcheck::reduce::ext3_soa_product_evaluate::( + &f_c0, &f_c1, &f_c2, &g_c0, &g_c1, &g_c2, w, + ); + return (pack_ext_u64_to_field::(&a), pack_ext_u64_to_field::(&b)); + } let ((f_c0, f_c1, f_c2), (g_c0, g_c1, g_c2)) = rayon::join(|| aos_to_soa_ext3_par(f_raw), || aos_to_soa_ext3_par(g_raw)); - let w = extract_nonresidue_ext3::(); let chunk = EXT_PRODUCT_CHUNK; let (a, b) = f_c0 diff --git a/src/simd_sumcheck/dispatch.rs b/src/simd_sumcheck/dispatch.rs index ed710216..74b314d3 100644 --- a/src/simd_sumcheck/dispatch.rs +++ b/src/simd_sumcheck/dispatch.rs @@ -1293,6 +1293,226 @@ where }) } +// ─── Partial IP extension dispatch (SoA-persistent across rounds) ────────── + +/// Run `max_rounds` rounds of inner-product sumcheck over a Goldilocks ext2 +/// or ext3 field, keeping SoA state across rounds (one AoS→SoA at entry, one +/// SoA→AoS at exit — `max_rounds − 1` round-trips avoided vs the per-round +/// AoS↔SoA `pairwise_product_sum` + `fold_both` loop). +/// +/// On success, truncates `f` and `g` to the folded length (`f.len() >> max_rounds`). +/// Returns `None` if `F` is not Goldilocks ext2 or ext3. +#[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] +pub(crate) fn try_simd_ext_product_partial_dispatch( + f: &mut Vec, + g: &mut Vec, + transcript: &mut T, + max_rounds: usize, + hook: &mut H, +) -> Option> +where + F: Field, + T: Transcript, + H: FnMut(usize, &mut T), +{ + if !is_goldilocks_based::() { + return None; + } + let d = F::extension_degree() as usize; + if !(2..=3).contains(&d) { + return None; + } + if core::mem::size_of::() != d * core::mem::size_of::() { + return None; + } + + type Backend = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; + + let n = f.len(); + debug_assert_eq!(n, g.len()); + let total_rounds = n.trailing_zeros() as usize; + assert!(max_rounds <= total_rounds); + + let mut prover_messages: Vec<(F, F)> = Vec::with_capacity(max_rounds); + let mut verifier_messages: Vec = Vec::with_capacity(max_rounds); + + let f_u64: &[u64] = + unsafe { core::slice::from_raw_parts(f.as_ptr() as *const u64, n * d) }; + let g_u64: &[u64] = + unsafe { core::slice::from_raw_parts(g.as_ptr() as *const u64, n * d) }; + + const EXT_PARALLEL_THRESHOLD: usize = 1 << 17; + + if d == 2 { + let w = extract_nonresidue_ext2::(); + + let (mut f_c0, mut f_c1) = aos_to_soa_ext2(f_u64); + let (mut g_c0, mut g_c1) = aos_to_soa_ext2(g_u64); + let mut len = n; + + let use_parallel = n > EXT_PARALLEL_THRESHOLD; + let mut sf_c0: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + let mut sf_c1: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + let mut sg_c0: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + let mut sg_c1: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + + for round in 0..max_rounds { + let (a_raw, b_raw) = + crate::simd_sumcheck::reduce::ext2_soa_product_evaluate::( + &f_c0[..len], &f_c1[..len], &g_c0[..len], &g_c1[..len], w, + ); + let a: F = unsafe { ext_components_to_field(&a_raw) }; + let b: F = unsafe { ext_components_to_field(&b_raw) }; + let msg = (a, b); + + prover_messages.push(msg); + transcript.write(msg.0); + transcript.write(msg.1); + hook(round, transcript); + let chg: F = transcript.read(); + verifier_messages.push(chg); + + let chg_raw: [u64; 2] = unsafe { + let ptr = &chg as *const F as *const u64; + [*ptr, *ptr.add(1)] + }; + + if len > EXT_PARALLEL_THRESHOLD { + let new_len = len / 2; + let _ = crate::simd_sumcheck::reduce::ext2_soa_product_reduce_and_evaluate_parallel::( + &f_c0[..len], &f_c1[..len], + &g_c0[..len], &g_c1[..len], + &mut sf_c0[..new_len], &mut sf_c1[..new_len], + &mut sg_c0[..new_len], &mut sg_c1[..new_len], + chg_raw, w, + ); + core::mem::swap(&mut f_c0, &mut sf_c0); + core::mem::swap(&mut f_c1, &mut sf_c1); + core::mem::swap(&mut g_c0, &mut sg_c0); + core::mem::swap(&mut g_c1, &mut sg_c1); + len = new_len; + } else { + let (_, _, new_len) = + crate::simd_sumcheck::reduce::ext2_soa_product_reduce_and_evaluate::( + &mut f_c0[..len], &mut f_c1[..len], + &mut g_c0[..len], &mut g_c1[..len], + chg_raw, w, + ); + len = new_len; + } + } + + // SoA → AoS writeback into f and g, then truncate. + let f_out: &mut [u64] = unsafe { + core::slice::from_raw_parts_mut(f.as_mut_ptr() as *mut u64, len * d) + }; + let g_out: &mut [u64] = unsafe { + core::slice::from_raw_parts_mut(g.as_mut_ptr() as *mut u64, len * d) + }; + for i in 0..len { + f_out[2 * i] = f_c0[i]; + f_out[2 * i + 1] = f_c1[i]; + g_out[2 * i] = g_c0[i]; + g_out[2 * i + 1] = g_c1[i]; + } + f.truncate(len); + g.truncate(len); + } else { + // d == 3 + let w = extract_nonresidue_ext3::(); + + let (mut f_c0, mut f_c1, mut f_c2) = aos_to_soa_ext3(f_u64); + let (mut g_c0, mut g_c1, mut g_c2) = aos_to_soa_ext3(g_u64); + let mut len = n; + + let use_parallel = n > EXT_PARALLEL_THRESHOLD; + let mut sf_c0: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + let mut sf_c1: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + let mut sf_c2: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + let mut sg_c0: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + let mut sg_c1: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + let mut sg_c2: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + + for round in 0..max_rounds { + let (a_raw, b_raw) = + crate::simd_sumcheck::reduce::ext3_soa_product_evaluate::( + &f_c0[..len], &f_c1[..len], &f_c2[..len], + &g_c0[..len], &g_c1[..len], &g_c2[..len], w, + ); + let a: F = unsafe { ext_components_to_field(&a_raw) }; + let b: F = unsafe { ext_components_to_field(&b_raw) }; + let msg = (a, b); + + prover_messages.push(msg); + transcript.write(msg.0); + transcript.write(msg.1); + hook(round, transcript); + let chg: F = transcript.read(); + verifier_messages.push(chg); + + let chg_raw: [u64; 3] = unsafe { + let ptr = &chg as *const F as *const u64; + [*ptr, *ptr.add(1), *ptr.add(2)] + }; + + if len > EXT_PARALLEL_THRESHOLD { + let new_len = len / 2; + let _ = crate::simd_sumcheck::reduce::ext3_soa_product_reduce_and_evaluate_parallel::( + &f_c0[..len], &f_c1[..len], &f_c2[..len], + &g_c0[..len], &g_c1[..len], &g_c2[..len], + &mut sf_c0[..new_len], &mut sf_c1[..new_len], &mut sf_c2[..new_len], + &mut sg_c0[..new_len], &mut sg_c1[..new_len], &mut sg_c2[..new_len], + chg_raw, w, + ); + core::mem::swap(&mut f_c0, &mut sf_c0); + core::mem::swap(&mut f_c1, &mut sf_c1); + core::mem::swap(&mut f_c2, &mut sf_c2); + core::mem::swap(&mut g_c0, &mut sg_c0); + core::mem::swap(&mut g_c1, &mut sg_c1); + core::mem::swap(&mut g_c2, &mut sg_c2); + len = new_len; + } else { + let (_, _, new_len) = + crate::simd_sumcheck::reduce::ext3_soa_product_reduce_and_evaluate::( + &mut f_c0[..len], &mut f_c1[..len], &mut f_c2[..len], + &mut g_c0[..len], &mut g_c1[..len], &mut g_c2[..len], + chg_raw, w, + ); + len = new_len; + } + } + + let f_out: &mut [u64] = unsafe { + core::slice::from_raw_parts_mut(f.as_mut_ptr() as *mut u64, len * d) + }; + let g_out: &mut [u64] = unsafe { + core::slice::from_raw_parts_mut(g.as_mut_ptr() as *mut u64, len * d) + }; + for i in 0..len { + f_out[3 * i] = f_c0[i]; + f_out[3 * i + 1] = f_c1[i]; + f_out[3 * i + 2] = f_c2[i]; + g_out[3 * i] = g_c0[i]; + g_out[3 * i + 1] = g_c1[i]; + g_out[3 * i + 2] = g_c2[i]; + } + f.truncate(len); + g.truncate(len); + } + + let final_evaluations = if f.len() == 1 { + (f[0], g[0]) + } else { + (F::ZERO, F::ZERO) + }; + + Some(crate::multilinear_product::ProductSumcheck { + prover_messages, + verifier_messages, + final_evaluations, + }) +} + // ─── Helpers: field ↔ u64 conversion ──────────────────────────────────────── /// Reinterpret a Montgomery-form `u64` as a field element. From 9d449439c090b19c9dd8110ead8ab0cd6e420f0e Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Tue, 14 Apr 2026 14:46:04 +0200 Subject: [PATCH 37/52] chkpt --- src/multilinear/provers/time/reductions/pairwise.rs | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/src/multilinear/provers/time/reductions/pairwise.rs b/src/multilinear/provers/time/reductions/pairwise.rs index b3e2d7f9..9bbb0190 100644 --- a/src/multilinear/provers/time/reductions/pairwise.rs +++ b/src/multilinear/provers/time/reductions/pairwise.rs @@ -38,8 +38,7 @@ pub fn reduce_evaluations(src: &mut Vec, verifier_message: F) { let out: Vec = cfg_chunks!(src, 2) .map(|chunk| chunk[0] + verifier_message * (chunk[1] - chunk[0])) .collect(); - src[..out.len()].copy_from_slice(&out); - src.truncate(out.len()); + *src = out; } pub fn reduce_evaluations_from_stream>( From b525d92e06b033a577b2c5574e06341ace178c62 Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Tue, 14 Apr 2026 16:00:14 +0200 Subject: [PATCH 38/52] chkpt --- .../provers/time/reductions/pairwise.rs | 28 ++++++++++++++++--- 1 file changed, 24 insertions(+), 4 deletions(-) diff --git a/src/multilinear/provers/time/reductions/pairwise.rs b/src/multilinear/provers/time/reductions/pairwise.rs index 9bbb0190..cfc09b04 100644 --- a/src/multilinear/provers/time/reductions/pairwise.rs +++ b/src/multilinear/provers/time/reductions/pairwise.rs @@ -35,10 +35,30 @@ pub fn evaluate_from_stream>(src: &S) -> (F, F) { } pub fn reduce_evaluations(src: &mut Vec, verifier_message: F) { - let out: Vec = cfg_chunks!(src, 2) - .map(|chunk| chunk[0] + verifier_message * (chunk[1] - chunk[0])) - .collect(); - *src = out; + #[cfg(feature = "parallel")] + { + // Parallel path: MSB pairing makes true in-place parallel impossible + // without unsafe (writer i writes src[i] while writer j reads src[2j] + // which may alias src[i]). Allocate a fresh Vec via rayon's parallel + // collect; `*src = out` swaps buffers without a copy. + let out: Vec = cfg_chunks!(src, 2) + .map(|chunk| chunk[0] + verifier_message * (chunk[1] - chunk[0])) + .collect(); + *src = out; + } + #[cfg(not(feature = "parallel"))] + { + // Serial path: truly in-place. Writing src[i] while reading src[2i] + // and src[2i+1] is safe sequentially because 2i ≥ i always, so we + // never clobber a read we still need. + let new_len = src.len() / 2; + for i in 0..new_len { + let a = src[2 * i]; + let b = src[2 * i + 1]; + src[i] = a + verifier_message * (b - a); + } + src.truncate(new_len); + } } pub fn reduce_evaluations_from_stream>( From 711f22b81fc43594862ea07b2e6010e47e1c3817 Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Tue, 14 Apr 2026 23:55:27 +0200 Subject: [PATCH 39/52] chkpt --- .claude/settings.json | 7 + .../provers/time/reductions/pairwise.rs | 50 +- src/simd_sumcheck/dispatch.rs | 117 +- src/simd_sumcheck/reduce.rs | 1074 +++++++++++++++++ src/streams/memory/core.rs | 182 ++- 5 files changed, 1356 insertions(+), 74 deletions(-) create mode 100644 .claude/settings.json diff --git a/.claude/settings.json b/.claude/settings.json new file mode 100644 index 00000000..b48a659a --- /dev/null +++ b/.claude/settings.json @@ -0,0 +1,7 @@ +{ + "permissions": { + "allow": [ + "Bash(tee /tmp/final_bench.log)" + ] + } +} diff --git a/src/multilinear/provers/time/reductions/pairwise.rs b/src/multilinear/provers/time/reductions/pairwise.rs index cfc09b04..9fe62a9f 100644 --- a/src/multilinear/provers/time/reductions/pairwise.rs +++ b/src/multilinear/provers/time/reductions/pairwise.rs @@ -35,30 +35,40 @@ pub fn evaluate_from_stream>(src: &S) -> (F, F) { } pub fn reduce_evaluations(src: &mut Vec, verifier_message: F) { + /// Below this input size, the serial in-place path wins: rayon's + /// fork/join overhead exceeds the actual compute, and we avoid the + /// `.collect()` allocation entirely. Above it, parallelism outpaces + /// serial even with the allocation cost. Chosen to match typical L1 + /// cache-blocking on modern SIMD hosts (~4K field elements). + const SERIAL_THRESHOLD: usize = 1 << 12; + #[cfg(feature = "parallel")] { - // Parallel path: MSB pairing makes true in-place parallel impossible - // without unsafe (writer i writes src[i] while writer j reads src[2j] - // which may alias src[i]). Allocate a fresh Vec via rayon's parallel - // collect; `*src = out` swaps buffers without a copy. - let out: Vec = cfg_chunks!(src, 2) - .map(|chunk| chunk[0] + verifier_message * (chunk[1] - chunk[0])) - .collect(); - *src = out; - } - #[cfg(not(feature = "parallel"))] - { - // Serial path: truly in-place. Writing src[i] while reading src[2i] - // and src[2i+1] is safe sequentially because 2i ≥ i always, so we - // never clobber a read we still need. - let new_len = src.len() / 2; - for i in 0..new_len { - let a = src[2 * i]; - let b = src[2 * i + 1]; - src[i] = a + verifier_message * (b - a); + if src.len() > SERIAL_THRESHOLD { + // Parallel path: MSB pairing makes true in-place parallel + // impossible without unsafe (writer i writes src[i] while writer + // j reads src[2j] which may alias src[i]). Allocate a fresh Vec + // via rayon's parallel collect; `*src = out` swaps buffers + // without a copy. + let out: Vec = cfg_chunks!(src, 2) + .map(|chunk| chunk[0] + verifier_message * (chunk[1] - chunk[0])) + .collect(); + *src = out; + return; } - src.truncate(new_len); } + + // Serial path: truly in-place. Writing src[i] while reading src[2i] and + // src[2i+1] is safe sequentially because 2i ≥ i always, so we never + // clobber a read we still need. Used for non-parallel builds and for + // small inputs where rayon overhead would dominate. + let new_len = src.len() / 2; + for i in 0..new_len { + let a = src[2 * i]; + let b = src[2 * i + 1]; + src[i] = a + verifier_message * (b - a); + } + src.truncate(new_len); } pub fn reduce_evaluations_from_stream>( diff --git a/src/simd_sumcheck/dispatch.rs b/src/simd_sumcheck/dispatch.rs index 74b314d3..48a8abd7 100644 --- a/src/simd_sumcheck/dispatch.rs +++ b/src/simd_sumcheck/dispatch.rs @@ -872,6 +872,13 @@ pub(crate) fn try_simd_ext_fused_reduce_evaluate( #[cfg(target_arch = "aarch64")] { + // NEON-only fused reduce + evaluate. Uses `extract_nonresidue_ext{2,3}` + // helpers (shared with the full dispatch) to compute `w` correctly + // for each extension degree — an earlier version used a single + // squaring-based extractor for both, which gave the wrong `w` on ext3 + // (X² instead of X³) and quietly produced wrong reduce results. + type Backend = crate::simd_fields::goldilocks::neon::GoldilocksNeon; + if d == 2 { let n_u64 = evals.len() * d; let buf: &mut [u64] = @@ -882,8 +889,7 @@ pub(crate) fn try_simd_ext_fused_reduce_evaluate( [*ptr, *ptr.add(1)] }; - // Extract nonresidue - let w = extract_ext2_nonresidue::(); + let w = extract_nonresidue_ext2::(); let (even_comps, odd_comps, new_len_u64) = crate::simd_sumcheck::reduce::ext2_reduce_and_evaluate(buf, chg_raw, w); @@ -904,7 +910,7 @@ pub(crate) fn try_simd_ext_fused_reduce_evaluate( [*ptr, *ptr.add(1), *ptr.add(2)] }; - let w = extract_ext2_nonresidue::(); // same trick works for ext3 + let w = extract_nonresidue_ext3::(); let (even_comps, odd_comps, new_len_u64) = crate::simd_sumcheck::reduce::ext3_reduce_and_evaluate(buf, chg_raw, w); @@ -919,32 +925,6 @@ pub(crate) fn try_simd_ext_fused_reduce_evaluate( None } -/// Extract the nonresidue w from an extension field at runtime. -/// Computes (0, 1, 0...) * (0, 1, 0...) = (w, 0, 0...) and extracts the first component. -#[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") -))] -fn extract_ext2_nonresidue() -> u64 { - #[cfg(target_arch = "aarch64")] - type Backend = crate::simd_fields::goldilocks::neon::GoldilocksNeon; - #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] - type Backend = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; - - use crate::simd_fields::SimdBaseField; - - let d = EF::extension_degree() as usize; - let one_x: EF = unsafe { - let mut tmp = vec![0u64; d]; - tmp[1] = Backend::ONE; - let mut val = core::mem::MaybeUninit::::uninit(); - core::ptr::copy_nonoverlapping(tmp.as_ptr(), val.as_mut_ptr() as *mut u64, d); - val.assume_init() - }; - let nr = one_x * one_x; - unsafe { *((&nr) as *const EF as *const u64) } -} - #[allow(dead_code)] pub(crate) fn try_simd_ext_reduce(evals: &mut Vec, challenge: EF) -> bool { if !is_goldilocks_based::() { @@ -1170,9 +1150,11 @@ where }; if len > EXT_PARALLEL_THRESHOLD { let new_len = len / 2; - // Discard the (wrong) evaluate return; we recompute it at next - // round's start. - let _ = crate::simd_sumcheck::reduce::ext2_soa_product_reduce_and_evaluate_parallel::( + // Reduce-only: the evaluate for next round is recomputed + // by ext2_soa_product_evaluate at the top of the next + // iteration, so we skip the ~3 extra ext2 muls/iter that + // the fused kernel used to do. + crate::simd_sumcheck::reduce::ext2_soa_product_reduce_only_parallel::( &f_c0[..len], &f_c1[..len], &g_c0[..len], &g_c1[..len], &mut sf_c0[..new_len], &mut sf_c1[..new_len], @@ -1185,8 +1167,8 @@ where core::mem::swap(&mut g_c1, &mut sg_c1); len = new_len; } else { - let (_, _, new_len) = - crate::simd_sumcheck::reduce::ext2_soa_product_reduce_and_evaluate::( + let new_len = + crate::simd_sumcheck::reduce::ext2_soa_product_reduce_only::( &mut f_c0[..len], &mut f_c1[..len], &mut g_c0[..len], &mut g_c1[..len], chg_raw, w, @@ -1248,7 +1230,7 @@ where }; if len > EXT_PARALLEL_THRESHOLD { let new_len = len / 2; - let _ = crate::simd_sumcheck::reduce::ext3_soa_product_reduce_and_evaluate_parallel::( + crate::simd_sumcheck::reduce::ext3_soa_product_reduce_only_parallel::( &f_c0[..len], &f_c1[..len], &f_c2[..len], &g_c0[..len], &g_c1[..len], &g_c2[..len], &mut sf_c0[..new_len], &mut sf_c1[..new_len], &mut sf_c2[..new_len], @@ -1263,8 +1245,8 @@ where core::mem::swap(&mut g_c2, &mut sg_c2); len = new_len; } else { - let (_, _, new_len) = - crate::simd_sumcheck::reduce::ext3_soa_product_reduce_and_evaluate::( + let new_len = + crate::simd_sumcheck::reduce::ext3_soa_product_reduce_only::( &mut f_c0[..len], &mut f_c1[..len], &mut f_c2[..len], &mut g_c0[..len], &mut g_c1[..len], &mut g_c2[..len], chg_raw, w, @@ -1379,7 +1361,7 @@ where if len > EXT_PARALLEL_THRESHOLD { let new_len = len / 2; - let _ = crate::simd_sumcheck::reduce::ext2_soa_product_reduce_and_evaluate_parallel::( + crate::simd_sumcheck::reduce::ext2_soa_product_reduce_only_parallel::( &f_c0[..len], &f_c1[..len], &g_c0[..len], &g_c1[..len], &mut sf_c0[..new_len], &mut sf_c1[..new_len], @@ -1392,8 +1374,8 @@ where core::mem::swap(&mut g_c1, &mut sg_c1); len = new_len; } else { - let (_, _, new_len) = - crate::simd_sumcheck::reduce::ext2_soa_product_reduce_and_evaluate::( + let new_len = + crate::simd_sumcheck::reduce::ext2_soa_product_reduce_only::( &mut f_c0[..len], &mut f_c1[..len], &mut g_c0[..len], &mut g_c1[..len], chg_raw, w, @@ -1433,12 +1415,18 @@ where let mut sg_c1: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; let mut sg_c2: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + // pending_eval carries round k+1's (a, b) computed by round k's + // fused reduce-and-next-eval kernel, so we only call standalone + // evaluate at round 0. Saves one full read of the source per + // subsequent round. + let mut pending_eval: Option<([u64; 3], [u64; 3])> = None; for round in 0..max_rounds { - let (a_raw, b_raw) = + let (a_raw, b_raw) = pending_eval.take().unwrap_or_else(|| { crate::simd_sumcheck::reduce::ext3_soa_product_evaluate::( &f_c0[..len], &f_c1[..len], &f_c2[..len], &g_c0[..len], &g_c1[..len], &g_c2[..len], w, - ); + ) + }); let a: F = unsafe { ext_components_to_field(&a_raw) }; let b: F = unsafe { ext_components_to_field(&b_raw) }; let msg = (a, b); @@ -1455,15 +1443,33 @@ where [*ptr, *ptr.add(1), *ptr.add(2)] }; + // Only the last round doesn't need next-eval — there's no + // subsequent round in this partial call. For earlier rounds, + // the fused kernel produces reduced data AND the next round's + // (a, b) in a single data pass. + let is_last = round == max_rounds - 1; + if len > EXT_PARALLEL_THRESHOLD { let new_len = len / 2; - let _ = crate::simd_sumcheck::reduce::ext3_soa_product_reduce_and_evaluate_parallel::( - &f_c0[..len], &f_c1[..len], &f_c2[..len], - &g_c0[..len], &g_c1[..len], &g_c2[..len], - &mut sf_c0[..new_len], &mut sf_c1[..new_len], &mut sf_c2[..new_len], - &mut sg_c0[..new_len], &mut sg_c1[..new_len], &mut sg_c2[..new_len], - chg_raw, w, - ); + if is_last { + crate::simd_sumcheck::reduce::ext3_soa_product_reduce_only_parallel::( + &f_c0[..len], &f_c1[..len], &f_c2[..len], + &g_c0[..len], &g_c1[..len], &g_c2[..len], + &mut sf_c0[..new_len], &mut sf_c1[..new_len], &mut sf_c2[..new_len], + &mut sg_c0[..new_len], &mut sg_c1[..new_len], &mut sg_c2[..new_len], + chg_raw, w, + ); + } else { + let (next_a, next_b) = + crate::simd_sumcheck::reduce::ext3_soa_product_fused_reduce_next_eval_parallel::( + &f_c0[..len], &f_c1[..len], &f_c2[..len], + &g_c0[..len], &g_c1[..len], &g_c2[..len], + &mut sf_c0[..new_len], &mut sf_c1[..new_len], &mut sf_c2[..new_len], + &mut sg_c0[..new_len], &mut sg_c1[..new_len], &mut sg_c2[..new_len], + chg_raw, w, + ); + pending_eval = Some((next_a, next_b)); + } core::mem::swap(&mut f_c0, &mut sf_c0); core::mem::swap(&mut f_c1, &mut sf_c1); core::mem::swap(&mut f_c2, &mut sf_c2); @@ -1471,13 +1477,22 @@ where core::mem::swap(&mut g_c1, &mut sg_c1); core::mem::swap(&mut g_c2, &mut sg_c2); len = new_len; + } else if is_last { + let new_len = + crate::simd_sumcheck::reduce::ext3_soa_product_reduce_only::( + &mut f_c0[..len], &mut f_c1[..len], &mut f_c2[..len], + &mut g_c0[..len], &mut g_c1[..len], &mut g_c2[..len], + chg_raw, w, + ); + len = new_len; } else { - let (_, _, new_len) = - crate::simd_sumcheck::reduce::ext3_soa_product_reduce_and_evaluate::( + let (next_a, next_b, new_len) = + crate::simd_sumcheck::reduce::ext3_soa_product_fused_reduce_next_eval::( &mut f_c0[..len], &mut f_c1[..len], &mut f_c2[..len], &mut g_c0[..len], &mut g_c1[..len], &mut g_c2[..len], chg_raw, w, ); + pending_eval = Some((next_a, next_b)); len = new_len; } } diff --git a/src/simd_sumcheck/reduce.rs b/src/simd_sumcheck/reduce.rs index 14ad7758..e7b27e90 100644 --- a/src/simd_sumcheck/reduce.rs +++ b/src/simd_sumcheck/reduce.rs @@ -2440,6 +2440,983 @@ pub fn ext3_soa_product_reduce_and_evaluate_parallel>( + src_f_c0: *const u64, + src_f_c1: *const u64, + src_g_c0: *const u64, + src_g_c1: *const u64, + out_f_c0: *mut u64, + out_f_c1: *mut u64, + out_g_c0: *mut u64, + out_g_c1: *mut u64, + n_out: usize, + challenge: [u64; 2], + w: u64, +) { + let lanes = F::LANES; + let aligned = (n_out / lanes) * lanes; + let ch0 = F::splat(challenge[0]); + let ch1 = F::splat(challenge[1]); + let ch1w = F::splat(F::scalar_mul(challenge[1], w)); + + let mut i = 0; + while i < aligned { + let off = i; + let (fe0, fo0) = F::load_deinterleaved(src_f_c0.add(2 * off)); + let (fe1, fo1) = F::load_deinterleaved(src_f_c1.add(2 * off)); + let (ge0, go0) = F::load_deinterleaved(src_g_c0.add(2 * off)); + let (ge1, go1) = F::load_deinterleaved(src_g_c1.add(2 * off)); + + let fd0 = F::sub(fo0, fe0); + let fd1 = F::sub(fo1, fe1); + F::store( + out_f_c0.add(off), + F::add(fe0, F::add(F::mul(ch0, fd0), F::mul(ch1w, fd1))), + ); + F::store( + out_f_c1.add(off), + F::add(fe1, F::add(F::mul(ch0, fd1), F::mul(ch1, fd0))), + ); + + let gd0 = F::sub(go0, ge0); + let gd1 = F::sub(go1, ge1); + F::store( + out_g_c0.add(off), + F::add(ge0, F::add(F::mul(ch0, gd0), F::mul(ch1w, gd1))), + ); + F::store( + out_g_c1.add(off), + F::add(ge1, F::add(F::mul(ch0, gd1), F::mul(ch1, gd0))), + ); + i += lanes; + } + + let ch1w_s = F::scalar_mul(challenge[1], w); + while i < n_out { + let fe = [*src_f_c0.add(2 * i), *src_f_c1.add(2 * i)]; + let fo = [*src_f_c0.add(2 * i + 1), *src_f_c1.add(2 * i + 1)]; + let ge = [*src_g_c0.add(2 * i), *src_g_c1.add(2 * i)]; + let go_ = [*src_g_c0.add(2 * i + 1), *src_g_c1.add(2 * i + 1)]; + + let fd0 = F::scalar_sub(fo[0], fe[0]); + let fd1 = F::scalar_sub(fo[1], fe[1]); + *out_f_c0.add(i) = F::scalar_add( + fe[0], + F::scalar_add(F::scalar_mul(challenge[0], fd0), F::scalar_mul(ch1w_s, fd1)), + ); + *out_f_c1.add(i) = F::scalar_add( + fe[1], + F::scalar_add( + F::scalar_mul(challenge[0], fd1), + F::scalar_mul(challenge[1], fd0), + ), + ); + + let gd0 = F::scalar_sub(go_[0], ge[0]); + let gd1 = F::scalar_sub(go_[1], ge[1]); + *out_g_c0.add(i) = F::scalar_add( + ge[0], + F::scalar_add(F::scalar_mul(challenge[0], gd0), F::scalar_mul(ch1w_s, gd1)), + ); + *out_g_c1.add(i) = F::scalar_add( + ge[1], + F::scalar_add( + F::scalar_mul(challenge[0], gd1), + F::scalar_mul(challenge[1], gd0), + ), + ); + i += 1; + } +} + +/// In-place ext2 reduce (no evaluate). Returns the new length. +#[allow(clippy::too_many_arguments)] +pub fn ext2_soa_product_reduce_only>( + f_c0: &mut [u64], + f_c1: &mut [u64], + g_c0: &mut [u64], + g_c1: &mut [u64], + challenge: [u64; 2], + w: u64, +) -> usize { + let n_elems = f_c0.len(); + debug_assert_eq!(n_elems, f_c1.len()); + debug_assert_eq!(n_elems, g_c0.len()); + debug_assert_eq!(n_elems, g_c1.len()); + let n_out = n_elems / 2; + + // SAFETY: all four slices have identical non-overlapping provenance. + // The in-place reduce writes to `[0..n_out)` reading from `[0..n_elems)`; + // writes to index i only ever read indices 2i and 2i+1, both ≥ i. + unsafe { + ext2_soa_product_reduce_only_raw::( + f_c0.as_ptr(), + f_c1.as_ptr(), + g_c0.as_ptr(), + g_c1.as_ptr(), + f_c0.as_mut_ptr(), + f_c1.as_mut_ptr(), + g_c0.as_mut_ptr(), + g_c1.as_mut_ptr(), + n_out, + challenge, + w, + ); + } + n_out +} + +/// Distinct-buffer ext2 reduce (no evaluate). +#[allow(clippy::too_many_arguments)] +pub fn ext2_soa_product_reduce_only_into>( + src_f_c0: &[u64], + src_f_c1: &[u64], + src_g_c0: &[u64], + src_g_c1: &[u64], + out_f_c0: &mut [u64], + out_f_c1: &mut [u64], + out_g_c0: &mut [u64], + out_g_c1: &mut [u64], + challenge: [u64; 2], + w: u64, +) { + debug_assert_eq!(src_f_c0.len(), 2 * out_f_c0.len()); + let n_out = out_f_c0.len(); + unsafe { + ext2_soa_product_reduce_only_raw::( + src_f_c0.as_ptr(), + src_f_c1.as_ptr(), + src_g_c0.as_ptr(), + src_g_c1.as_ptr(), + out_f_c0.as_mut_ptr(), + out_f_c1.as_mut_ptr(), + out_g_c0.as_mut_ptr(), + out_g_c1.as_mut_ptr(), + n_out, + challenge, + w, + ); + } +} + +/// Parallel ext2 reduce (no evaluate). +#[cfg(feature = "parallel")] +#[allow(clippy::too_many_arguments)] +pub fn ext2_soa_product_reduce_only_parallel>( + src_f_c0: &[u64], + src_f_c1: &[u64], + src_g_c0: &[u64], + src_g_c1: &[u64], + out_f_c0: &mut [u64], + out_f_c1: &mut [u64], + out_g_c0: &mut [u64], + out_g_c1: &mut [u64], + challenge: [u64; 2], + w: u64, +) { + use rayon::prelude::*; + + let n_out = out_f_c0.len(); + let chunk_pairs = 32_768_usize; + if n_out <= chunk_pairs { + return ext2_soa_product_reduce_only_into::( + src_f_c0, src_f_c1, src_g_c0, src_g_c1, + out_f_c0, out_f_c1, out_g_c0, out_g_c1, + challenge, w, + ); + } + + (out_f_c0.par_chunks_mut(chunk_pairs)) + .zip(out_f_c1.par_chunks_mut(chunk_pairs)) + .zip(out_g_c0.par_chunks_mut(chunk_pairs)) + .zip(out_g_c1.par_chunks_mut(chunk_pairs)) + .enumerate() + .for_each(|(idx, (((ofc0, ofc1), ogc0), ogc1))| { + let start = idx * chunk_pairs; + let end = start + ofc0.len(); + ext2_soa_product_reduce_only_into::( + &src_f_c0[2 * start..2 * end], + &src_f_c1[2 * start..2 * end], + &src_g_c0[2 * start..2 * end], + &src_g_c1[2 * start..2 * end], + ofc0, ofc1, ogc0, ogc1, + challenge, w, + ); + }); +} + +#[cfg(not(feature = "parallel"))] +#[allow(clippy::too_many_arguments)] +pub fn ext2_soa_product_reduce_only_parallel>( + src_f_c0: &[u64], + src_f_c1: &[u64], + src_g_c0: &[u64], + src_g_c1: &[u64], + out_f_c0: &mut [u64], + out_f_c1: &mut [u64], + out_g_c0: &mut [u64], + out_g_c1: &mut [u64], + challenge: [u64; 2], + w: u64, +) { + ext2_soa_product_reduce_only_into::( + src_f_c0, src_f_c1, src_g_c0, src_g_c1, + out_f_c0, out_f_c1, out_g_c0, out_g_c1, + challenge, w, + ) +} + +// ── ext3 reduce-only ─────────────────────────────────────────────────────── + +#[inline(always)] +#[allow(clippy::too_many_arguments)] +unsafe fn ext3_soa_product_reduce_only_raw>( + src_f_c0: *const u64, + src_f_c1: *const u64, + src_f_c2: *const u64, + src_g_c0: *const u64, + src_g_c1: *const u64, + src_g_c2: *const u64, + out_f_c0: *mut u64, + out_f_c1: *mut u64, + out_f_c2: *mut u64, + out_g_c0: *mut u64, + out_g_c1: *mut u64, + out_g_c2: *mut u64, + n_out: usize, + challenge: [u64; 3], + w: u64, +) { + let lanes = F::LANES; + let aligned = (n_out / lanes) * lanes; + let w_vec = F::splat(w); + let ch = [ + F::splat(challenge[0]), + F::splat(challenge[1]), + F::splat(challenge[2]), + ]; + + let mut i = 0; + while i < aligned { + let off = i; + let (fe0, fo0) = F::load_deinterleaved(src_f_c0.add(2 * off)); + let (fe1, fo1) = F::load_deinterleaved(src_f_c1.add(2 * off)); + let (fe2, fo2) = F::load_deinterleaved(src_f_c2.add(2 * off)); + let (ge0, go0) = F::load_deinterleaved(src_g_c0.add(2 * off)); + let (ge1, go1) = F::load_deinterleaved(src_g_c1.add(2 * off)); + let (ge2, go2) = F::load_deinterleaved(src_g_c2.add(2 * off)); + + let fd = [F::sub(fo0, fe0), F::sub(fo1, fe1), F::sub(fo2, fe2)]; + let fp = soa_ext3_mul::(ch, fd, w_vec); + F::store(out_f_c0.add(off), F::add(fe0, fp[0])); + F::store(out_f_c1.add(off), F::add(fe1, fp[1])); + F::store(out_f_c2.add(off), F::add(fe2, fp[2])); + + let gd = [F::sub(go0, ge0), F::sub(go1, ge1), F::sub(go2, ge2)]; + let gp = soa_ext3_mul::(ch, gd, w_vec); + F::store(out_g_c0.add(off), F::add(ge0, gp[0])); + F::store(out_g_c1.add(off), F::add(ge1, gp[1])); + F::store(out_g_c2.add(off), F::add(ge2, gp[2])); + i += lanes; + } + + // Scalar tail + while i < n_out { + let fe = [*src_f_c0.add(2 * i), *src_f_c1.add(2 * i), *src_f_c2.add(2 * i)]; + let fo = [ + *src_f_c0.add(2 * i + 1), + *src_f_c1.add(2 * i + 1), + *src_f_c2.add(2 * i + 1), + ]; + let ge = [*src_g_c0.add(2 * i), *src_g_c1.add(2 * i), *src_g_c2.add(2 * i)]; + let go_ = [ + *src_g_c0.add(2 * i + 1), + *src_g_c1.add(2 * i + 1), + *src_g_c2.add(2 * i + 1), + ]; + + let fd = [ + F::scalar_sub(fo[0], fe[0]), + F::scalar_sub(fo[1], fe[1]), + F::scalar_sub(fo[2], fe[2]), + ]; + let fp = scalar_ext3_mul::(challenge, fd, w); + *out_f_c0.add(i) = F::scalar_add(fe[0], fp[0]); + *out_f_c1.add(i) = F::scalar_add(fe[1], fp[1]); + *out_f_c2.add(i) = F::scalar_add(fe[2], fp[2]); + + let gd = [ + F::scalar_sub(go_[0], ge[0]), + F::scalar_sub(go_[1], ge[1]), + F::scalar_sub(go_[2], ge[2]), + ]; + let gp = scalar_ext3_mul::(challenge, gd, w); + *out_g_c0.add(i) = F::scalar_add(ge[0], gp[0]); + *out_g_c1.add(i) = F::scalar_add(ge[1], gp[1]); + *out_g_c2.add(i) = F::scalar_add(ge[2], gp[2]); + i += 1; + } +} + +/// In-place ext3 reduce (no evaluate). Returns the new length. +#[allow(clippy::too_many_arguments)] +pub fn ext3_soa_product_reduce_only>( + f_c0: &mut [u64], + f_c1: &mut [u64], + f_c2: &mut [u64], + g_c0: &mut [u64], + g_c1: &mut [u64], + g_c2: &mut [u64], + challenge: [u64; 3], + w: u64, +) -> usize { + let n_elems = f_c0.len(); + let n_out = n_elems / 2; + unsafe { + ext3_soa_product_reduce_only_raw::( + f_c0.as_ptr(), + f_c1.as_ptr(), + f_c2.as_ptr(), + g_c0.as_ptr(), + g_c1.as_ptr(), + g_c2.as_ptr(), + f_c0.as_mut_ptr(), + f_c1.as_mut_ptr(), + f_c2.as_mut_ptr(), + g_c0.as_mut_ptr(), + g_c1.as_mut_ptr(), + g_c2.as_mut_ptr(), + n_out, + challenge, + w, + ); + } + n_out +} + +/// Distinct-buffer ext3 reduce (no evaluate). +#[allow(clippy::too_many_arguments)] +pub fn ext3_soa_product_reduce_only_into>( + src_f_c0: &[u64], + src_f_c1: &[u64], + src_f_c2: &[u64], + src_g_c0: &[u64], + src_g_c1: &[u64], + src_g_c2: &[u64], + out_f_c0: &mut [u64], + out_f_c1: &mut [u64], + out_f_c2: &mut [u64], + out_g_c0: &mut [u64], + out_g_c1: &mut [u64], + out_g_c2: &mut [u64], + challenge: [u64; 3], + w: u64, +) { + let n_out = out_f_c0.len(); + unsafe { + ext3_soa_product_reduce_only_raw::( + src_f_c0.as_ptr(), + src_f_c1.as_ptr(), + src_f_c2.as_ptr(), + src_g_c0.as_ptr(), + src_g_c1.as_ptr(), + src_g_c2.as_ptr(), + out_f_c0.as_mut_ptr(), + out_f_c1.as_mut_ptr(), + out_f_c2.as_mut_ptr(), + out_g_c0.as_mut_ptr(), + out_g_c1.as_mut_ptr(), + out_g_c2.as_mut_ptr(), + n_out, + challenge, + w, + ); + } +} + +/// Parallel ext3 reduce (no evaluate). +#[cfg(feature = "parallel")] +#[allow(clippy::too_many_arguments)] +pub fn ext3_soa_product_reduce_only_parallel>( + src_f_c0: &[u64], + src_f_c1: &[u64], + src_f_c2: &[u64], + src_g_c0: &[u64], + src_g_c1: &[u64], + src_g_c2: &[u64], + out_f_c0: &mut [u64], + out_f_c1: &mut [u64], + out_f_c2: &mut [u64], + out_g_c0: &mut [u64], + out_g_c1: &mut [u64], + out_g_c2: &mut [u64], + challenge: [u64; 3], + w: u64, +) { + use rayon::prelude::*; + + let n_out = out_f_c0.len(); + let chunk_pairs = 32_768_usize; + if n_out <= chunk_pairs { + return ext3_soa_product_reduce_only_into::( + src_f_c0, src_f_c1, src_f_c2, src_g_c0, src_g_c1, src_g_c2, + out_f_c0, out_f_c1, out_f_c2, out_g_c0, out_g_c1, out_g_c2, + challenge, w, + ); + } + + (out_f_c0.par_chunks_mut(chunk_pairs)) + .zip(out_f_c1.par_chunks_mut(chunk_pairs)) + .zip(out_f_c2.par_chunks_mut(chunk_pairs)) + .zip(out_g_c0.par_chunks_mut(chunk_pairs)) + .zip(out_g_c1.par_chunks_mut(chunk_pairs)) + .zip(out_g_c2.par_chunks_mut(chunk_pairs)) + .enumerate() + .for_each(|(idx, (((((ofc0, ofc1), ofc2), ogc0), ogc1), ogc2))| { + let start = idx * chunk_pairs; + let end = start + ofc0.len(); + ext3_soa_product_reduce_only_into::( + &src_f_c0[2 * start..2 * end], + &src_f_c1[2 * start..2 * end], + &src_f_c2[2 * start..2 * end], + &src_g_c0[2 * start..2 * end], + &src_g_c1[2 * start..2 * end], + &src_g_c2[2 * start..2 * end], + ofc0, ofc1, ofc2, ogc0, ogc1, ogc2, + challenge, w, + ); + }); +} + +#[cfg(not(feature = "parallel"))] +#[allow(clippy::too_many_arguments)] +pub fn ext3_soa_product_reduce_only_parallel>( + src_f_c0: &[u64], + src_f_c1: &[u64], + src_f_c2: &[u64], + src_g_c0: &[u64], + src_g_c1: &[u64], + src_g_c2: &[u64], + out_f_c0: &mut [u64], + out_f_c1: &mut [u64], + out_f_c2: &mut [u64], + out_g_c0: &mut [u64], + out_g_c1: &mut [u64], + out_g_c2: &mut [u64], + challenge: [u64; 3], + w: u64, +) { + ext3_soa_product_reduce_only_into::( + src_f_c0, src_f_c1, src_f_c2, src_g_c0, src_g_c1, src_g_c2, + out_f_c0, out_f_c1, out_f_c2, out_g_c0, out_g_c1, out_g_c2, + challenge, w, + ); +} + +// ═══════════════════════════════════════════════════════════════════════════ +// Fused reduce + next-round-evaluate kernels +// ═══════════════════════════════════════════════════════════════════════════ +// +// These kernels reduce the source (round k) into the output (round k+1) +// AND accumulate round k+1's evaluate `(a, b) = (Σ f_e·g_e, Σ f_e·g_o + f_o·g_e)` +// in a single pass over the data. Saves one full read of the source per +// round relative to the `reduce_only` + standalone `evaluate` pattern. +// +// Technique: 2× unroll the SIMD loop so each iteration stores `2·LANES` +// reduced outputs to contiguous memory. Then a `load_deinterleaved` read +// of that just-written region (hot in L1) gives the round-k+1 even/odd +// pair split directly: `evens = [r[0], r[2], …, r[2L−2]]`, +// `odds = [r[1], r[3], …, r[2L−1]]`. Those pairs feed the evaluate +// accumulators via the same `soa_ext{2,3}_mul` Karatsuba the reduce uses. +// +// For use with the `pending_eval` pattern in the dispatch: only round 0 +// calls standalone evaluate; rounds 1+ consume the `(a_{k+1}, b_{k+1})` +// returned by this kernel from round k. + +// ── ext3 fused reduce + next-round evaluate ──────────────────────────────── + +#[inline(always)] +#[allow(clippy::too_many_arguments)] +unsafe fn ext3_soa_product_fused_reduce_next_eval_raw>( + src_f_c0: *const u64, + src_f_c1: *const u64, + src_f_c2: *const u64, + src_g_c0: *const u64, + src_g_c1: *const u64, + src_g_c2: *const u64, + out_f_c0: *mut u64, + out_f_c1: *mut u64, + out_f_c2: *mut u64, + out_g_c0: *mut u64, + out_g_c1: *mut u64, + out_g_c2: *mut u64, + n_out: usize, + challenge: [u64; 3], + w: u64, +) -> ([u64; 3], [u64; 3]) { + let lanes = F::LANES; + let step = 2 * lanes; // 2× unroll: each iter produces 2·LANES reduced outputs + let aligned = (n_out / step) * step; + let w_vec = F::splat(w); + let ch = [ + F::splat(challenge[0]), + F::splat(challenge[1]), + F::splat(challenge[2]), + ]; + + let zero = F::splat(F::ZERO); + let mut acc_a = [zero; 3]; + let mut acc_b = [zero; 3]; + + let mut i = 0; + while i < aligned { + // Unroll A: reduce LANES source pairs into reduced outputs [i .. i+lanes). + let (fc0_fe_a, fc0_fo_a) = F::load_deinterleaved(src_f_c0.add(2 * i)); + let (fc1_fe_a, fc1_fo_a) = F::load_deinterleaved(src_f_c1.add(2 * i)); + let (fc2_fe_a, fc2_fo_a) = F::load_deinterleaved(src_f_c2.add(2 * i)); + let (gc0_ge_a, gc0_go_a) = F::load_deinterleaved(src_g_c0.add(2 * i)); + let (gc1_ge_a, gc1_go_a) = F::load_deinterleaved(src_g_c1.add(2 * i)); + let (gc2_ge_a, gc2_go_a) = F::load_deinterleaved(src_g_c2.add(2 * i)); + + let fd_a = [ + F::sub(fc0_fo_a, fc0_fe_a), + F::sub(fc1_fo_a, fc1_fe_a), + F::sub(fc2_fo_a, fc2_fe_a), + ]; + let fp_a = soa_ext3_mul::(ch, fd_a, w_vec); + F::store(out_f_c0.add(i), F::add(fc0_fe_a, fp_a[0])); + F::store(out_f_c1.add(i), F::add(fc1_fe_a, fp_a[1])); + F::store(out_f_c2.add(i), F::add(fc2_fe_a, fp_a[2])); + + let gd_a = [ + F::sub(gc0_go_a, gc0_ge_a), + F::sub(gc1_go_a, gc1_ge_a), + F::sub(gc2_go_a, gc2_ge_a), + ]; + let gp_a = soa_ext3_mul::(ch, gd_a, w_vec); + F::store(out_g_c0.add(i), F::add(gc0_ge_a, gp_a[0])); + F::store(out_g_c1.add(i), F::add(gc1_ge_a, gp_a[1])); + F::store(out_g_c2.add(i), F::add(gc2_ge_a, gp_a[2])); + + // Unroll B: second LANES of reduced outputs [i+lanes .. i+2·lanes). + let off_b = i + lanes; + let (fc0_fe_b, fc0_fo_b) = F::load_deinterleaved(src_f_c0.add(2 * off_b)); + let (fc1_fe_b, fc1_fo_b) = F::load_deinterleaved(src_f_c1.add(2 * off_b)); + let (fc2_fe_b, fc2_fo_b) = F::load_deinterleaved(src_f_c2.add(2 * off_b)); + let (gc0_ge_b, gc0_go_b) = F::load_deinterleaved(src_g_c0.add(2 * off_b)); + let (gc1_ge_b, gc1_go_b) = F::load_deinterleaved(src_g_c1.add(2 * off_b)); + let (gc2_ge_b, gc2_go_b) = F::load_deinterleaved(src_g_c2.add(2 * off_b)); + + let fd_b = [ + F::sub(fc0_fo_b, fc0_fe_b), + F::sub(fc1_fo_b, fc1_fe_b), + F::sub(fc2_fo_b, fc2_fe_b), + ]; + let fp_b = soa_ext3_mul::(ch, fd_b, w_vec); + F::store(out_f_c0.add(off_b), F::add(fc0_fe_b, fp_b[0])); + F::store(out_f_c1.add(off_b), F::add(fc1_fe_b, fp_b[1])); + F::store(out_f_c2.add(off_b), F::add(fc2_fe_b, fp_b[2])); + + let gd_b = [ + F::sub(gc0_go_b, gc0_ge_b), + F::sub(gc1_go_b, gc1_ge_b), + F::sub(gc2_go_b, gc2_ge_b), + ]; + let gp_b = soa_ext3_mul::(ch, gd_b, w_vec); + F::store(out_g_c0.add(off_b), F::add(gc0_ge_b, gp_b[0])); + F::store(out_g_c1.add(off_b), F::add(gc1_ge_b, gp_b[1])); + F::store(out_g_c2.add(off_b), F::add(gc2_ge_b, gp_b[2])); + + // Next-round evaluate: reload the just-stored 2·LANES reduced + // outputs via deinterleave. `load_deinterleaved(ptr)` reads + // `2·LANES` u64s starting at ptr and returns + // evens = [r[0], r[2], …, r[2L−2]] (first elements of each pair) + // odds = [r[1], r[3], …, r[2L−1]] (second elements of each pair) + // Those are exactly the round-k+1 even/odd component lanes. + let (fc0_e, fc0_o) = F::load_deinterleaved(out_f_c0.add(i)); + let (fc1_e, fc1_o) = F::load_deinterleaved(out_f_c1.add(i)); + let (fc2_e, fc2_o) = F::load_deinterleaved(out_f_c2.add(i)); + let (gc0_e, gc0_o) = F::load_deinterleaved(out_g_c0.add(i)); + let (gc1_e, gc1_o) = F::load_deinterleaved(out_g_c1.add(i)); + let (gc2_e, gc2_o) = F::load_deinterleaved(out_g_c2.add(i)); + + let pa = soa_ext3_mul::( + [fc0_e, fc1_e, fc2_e], + [gc0_e, gc1_e, gc2_e], + w_vec, + ); + acc_a[0] = F::add(acc_a[0], pa[0]); + acc_a[1] = F::add(acc_a[1], pa[1]); + acc_a[2] = F::add(acc_a[2], pa[2]); + + let peg = soa_ext3_mul::( + [fc0_e, fc1_e, fc2_e], + [gc0_o, gc1_o, gc2_o], + w_vec, + ); + let poe = soa_ext3_mul::( + [fc0_o, fc1_o, fc2_o], + [gc0_e, gc1_e, gc2_e], + w_vec, + ); + acc_b[0] = F::add(acc_b[0], F::add(peg[0], poe[0])); + acc_b[1] = F::add(acc_b[1], F::add(peg[1], poe[1])); + acc_b[2] = F::add(acc_b[2], F::add(peg[2], poe[2])); + + i += step; + } + + // Horizontal-reduce SIMD accumulators into scalar (a, b). + let mut buf = [F::ZERO; 32]; + let mut a = [F::ZERO; 3]; + let mut b = [F::ZERO; 3]; + for c in 0..3 { + F::store(buf.as_mut_ptr(), acc_a[c]); + for &v in buf.iter().take(lanes) { + a[c] = F::scalar_add(a[c], v); + } + F::store(buf.as_mut_ptr(), acc_b[c]); + for &v in buf.iter().take(lanes) { + b[c] = F::scalar_add(b[c], v); + } + } + + // Scalar tail: reduce pairs of elements at a time, accumulating next-eval. + while i + 1 < n_out { + // Reduce element i + let fe_i = [*src_f_c0.add(2 * i), *src_f_c1.add(2 * i), *src_f_c2.add(2 * i)]; + let fo_i = [ + *src_f_c0.add(2 * i + 1), + *src_f_c1.add(2 * i + 1), + *src_f_c2.add(2 * i + 1), + ]; + let ge_i = [*src_g_c0.add(2 * i), *src_g_c1.add(2 * i), *src_g_c2.add(2 * i)]; + let go_i = [ + *src_g_c0.add(2 * i + 1), + *src_g_c1.add(2 * i + 1), + *src_g_c2.add(2 * i + 1), + ]; + let fd = [ + F::scalar_sub(fo_i[0], fe_i[0]), + F::scalar_sub(fo_i[1], fe_i[1]), + F::scalar_sub(fo_i[2], fe_i[2]), + ]; + let fp = scalar_ext3_mul::(challenge, fd, w); + let r_f_i = [ + F::scalar_add(fe_i[0], fp[0]), + F::scalar_add(fe_i[1], fp[1]), + F::scalar_add(fe_i[2], fp[2]), + ]; + *out_f_c0.add(i) = r_f_i[0]; + *out_f_c1.add(i) = r_f_i[1]; + *out_f_c2.add(i) = r_f_i[2]; + let gd = [ + F::scalar_sub(go_i[0], ge_i[0]), + F::scalar_sub(go_i[1], ge_i[1]), + F::scalar_sub(go_i[2], ge_i[2]), + ]; + let gp = scalar_ext3_mul::(challenge, gd, w); + let r_g_i = [ + F::scalar_add(ge_i[0], gp[0]), + F::scalar_add(ge_i[1], gp[1]), + F::scalar_add(ge_i[2], gp[2]), + ]; + *out_g_c0.add(i) = r_g_i[0]; + *out_g_c1.add(i) = r_g_i[1]; + *out_g_c2.add(i) = r_g_i[2]; + + // Reduce element i+1 + let j = i + 1; + let fe_j = [*src_f_c0.add(2 * j), *src_f_c1.add(2 * j), *src_f_c2.add(2 * j)]; + let fo_j = [ + *src_f_c0.add(2 * j + 1), + *src_f_c1.add(2 * j + 1), + *src_f_c2.add(2 * j + 1), + ]; + let ge_j = [*src_g_c0.add(2 * j), *src_g_c1.add(2 * j), *src_g_c2.add(2 * j)]; + let go_j = [ + *src_g_c0.add(2 * j + 1), + *src_g_c1.add(2 * j + 1), + *src_g_c2.add(2 * j + 1), + ]; + let fd_j = [ + F::scalar_sub(fo_j[0], fe_j[0]), + F::scalar_sub(fo_j[1], fe_j[1]), + F::scalar_sub(fo_j[2], fe_j[2]), + ]; + let fp_j = scalar_ext3_mul::(challenge, fd_j, w); + let r_f_j = [ + F::scalar_add(fe_j[0], fp_j[0]), + F::scalar_add(fe_j[1], fp_j[1]), + F::scalar_add(fe_j[2], fp_j[2]), + ]; + *out_f_c0.add(j) = r_f_j[0]; + *out_f_c1.add(j) = r_f_j[1]; + *out_f_c2.add(j) = r_f_j[2]; + let gd_j = [ + F::scalar_sub(go_j[0], ge_j[0]), + F::scalar_sub(go_j[1], ge_j[1]), + F::scalar_sub(go_j[2], ge_j[2]), + ]; + let gp_j = scalar_ext3_mul::(challenge, gd_j, w); + let r_g_j = [ + F::scalar_add(ge_j[0], gp_j[0]), + F::scalar_add(ge_j[1], gp_j[1]), + F::scalar_add(ge_j[2], gp_j[2]), + ]; + *out_g_c0.add(j) = r_g_j[0]; + *out_g_c1.add(j) = r_g_j[1]; + *out_g_c2.add(j) = r_g_j[2]; + + // Next-eval: pair (r_f_i, r_f_j) × (r_g_i, r_g_j) + let pa = scalar_ext3_mul::(r_f_i, r_g_i, w); + a[0] = F::scalar_add(a[0], pa[0]); + a[1] = F::scalar_add(a[1], pa[1]); + a[2] = F::scalar_add(a[2], pa[2]); + let peg = scalar_ext3_mul::(r_f_i, r_g_j, w); + let poe = scalar_ext3_mul::(r_f_j, r_g_i, w); + b[0] = F::scalar_add(b[0], F::scalar_add(peg[0], poe[0])); + b[1] = F::scalar_add(b[1], F::scalar_add(peg[1], poe[1])); + b[2] = F::scalar_add(b[2], F::scalar_add(peg[2], poe[2])); + + i += 2; + } + + // Final straggler: if n_out is odd, reduce the last element without + // contributing to next-round-eval (no pair to form). + if i < n_out { + let fe = [*src_f_c0.add(2 * i), *src_f_c1.add(2 * i), *src_f_c2.add(2 * i)]; + let fo = [ + *src_f_c0.add(2 * i + 1), + *src_f_c1.add(2 * i + 1), + *src_f_c2.add(2 * i + 1), + ]; + let ge = [*src_g_c0.add(2 * i), *src_g_c1.add(2 * i), *src_g_c2.add(2 * i)]; + let go = [ + *src_g_c0.add(2 * i + 1), + *src_g_c1.add(2 * i + 1), + *src_g_c2.add(2 * i + 1), + ]; + let fd = [ + F::scalar_sub(fo[0], fe[0]), + F::scalar_sub(fo[1], fe[1]), + F::scalar_sub(fo[2], fe[2]), + ]; + let fp = scalar_ext3_mul::(challenge, fd, w); + *out_f_c0.add(i) = F::scalar_add(fe[0], fp[0]); + *out_f_c1.add(i) = F::scalar_add(fe[1], fp[1]); + *out_f_c2.add(i) = F::scalar_add(fe[2], fp[2]); + let gd = [ + F::scalar_sub(go[0], ge[0]), + F::scalar_sub(go[1], ge[1]), + F::scalar_sub(go[2], ge[2]), + ]; + let gp = scalar_ext3_mul::(challenge, gd, w); + *out_g_c0.add(i) = F::scalar_add(ge[0], gp[0]); + *out_g_c1.add(i) = F::scalar_add(ge[1], gp[1]); + *out_g_c2.add(i) = F::scalar_add(ge[2], gp[2]); + } + + (a, b) +} + +/// In-place ext3 fused reduce + next-round evaluate. Writes reduced output +/// to the first half of each input slice. Returns `(a_{k+1}, b_{k+1})` — the +/// round-k+1 evaluate coefficients computed from the just-reduced output. +#[allow(clippy::too_many_arguments)] +pub fn ext3_soa_product_fused_reduce_next_eval>( + f_c0: &mut [u64], + f_c1: &mut [u64], + f_c2: &mut [u64], + g_c0: &mut [u64], + g_c1: &mut [u64], + g_c2: &mut [u64], + challenge: [u64; 3], + w: u64, +) -> ([u64; 3], [u64; 3], usize) { + let n_elems = f_c0.len(); + let n_out = n_elems / 2; + // SAFETY: same aliasing reasoning as `ext3_soa_product_reduce_only`: each + // iteration reads src[2i], src[2i+1] and writes out[i] where 2i ≥ i, so + // in-place mutation never clobbers unread source. The fused next-eval + // reload reads out[i..i+2·LANES], which were both just written in the + // current iteration. + let (a, b) = unsafe { + ext3_soa_product_fused_reduce_next_eval_raw::( + f_c0.as_ptr(), + f_c1.as_ptr(), + f_c2.as_ptr(), + g_c0.as_ptr(), + g_c1.as_ptr(), + g_c2.as_ptr(), + f_c0.as_mut_ptr(), + f_c1.as_mut_ptr(), + f_c2.as_mut_ptr(), + g_c0.as_mut_ptr(), + g_c1.as_mut_ptr(), + g_c2.as_mut_ptr(), + n_out, + challenge, + w, + ) + }; + (a, b, n_out) +} + +/// Distinct-buffer ext3 fused reduce + next-round evaluate. Returns +/// `(a_{k+1}, b_{k+1})` — the round-k+1 evaluate coefficients computed +/// from the just-reduced output. +#[allow(clippy::too_many_arguments)] +pub fn ext3_soa_product_fused_reduce_next_eval_into>( + src_f_c0: &[u64], + src_f_c1: &[u64], + src_f_c2: &[u64], + src_g_c0: &[u64], + src_g_c1: &[u64], + src_g_c2: &[u64], + out_f_c0: &mut [u64], + out_f_c1: &mut [u64], + out_f_c2: &mut [u64], + out_g_c0: &mut [u64], + out_g_c1: &mut [u64], + out_g_c2: &mut [u64], + challenge: [u64; 3], + w: u64, +) -> ([u64; 3], [u64; 3]) { + let n_out = out_f_c0.len(); + unsafe { + ext3_soa_product_fused_reduce_next_eval_raw::( + src_f_c0.as_ptr(), + src_f_c1.as_ptr(), + src_f_c2.as_ptr(), + src_g_c0.as_ptr(), + src_g_c1.as_ptr(), + src_g_c2.as_ptr(), + out_f_c0.as_mut_ptr(), + out_f_c1.as_mut_ptr(), + out_f_c2.as_mut_ptr(), + out_g_c0.as_mut_ptr(), + out_g_c1.as_mut_ptr(), + out_g_c2.as_mut_ptr(), + n_out, + challenge, + w, + ) + } +} + +/// Parallel ext3 fused reduce + next-round evaluate. +#[cfg(feature = "parallel")] +#[allow(clippy::too_many_arguments)] +pub fn ext3_soa_product_fused_reduce_next_eval_parallel>( + src_f_c0: &[u64], + src_f_c1: &[u64], + src_f_c2: &[u64], + src_g_c0: &[u64], + src_g_c1: &[u64], + src_g_c2: &[u64], + out_f_c0: &mut [u64], + out_f_c1: &mut [u64], + out_f_c2: &mut [u64], + out_g_c0: &mut [u64], + out_g_c1: &mut [u64], + out_g_c2: &mut [u64], + challenge: [u64; 3], + w: u64, +) -> ([u64; 3], [u64; 3]) { + use rayon::prelude::*; + + let n_out = out_f_c0.len(); + let chunk_pairs = 32_768_usize; + if n_out <= chunk_pairs { + return ext3_soa_product_fused_reduce_next_eval_into::( + src_f_c0, src_f_c1, src_f_c2, src_g_c0, src_g_c1, src_g_c2, + out_f_c0, out_f_c1, out_f_c2, out_g_c0, out_g_c1, out_g_c2, + challenge, w, + ); + } + + (out_f_c0.par_chunks_mut(chunk_pairs)) + .zip(out_f_c1.par_chunks_mut(chunk_pairs)) + .zip(out_f_c2.par_chunks_mut(chunk_pairs)) + .zip(out_g_c0.par_chunks_mut(chunk_pairs)) + .zip(out_g_c1.par_chunks_mut(chunk_pairs)) + .zip(out_g_c2.par_chunks_mut(chunk_pairs)) + .enumerate() + .map(|(idx, (((((ofc0, ofc1), ofc2), ogc0), ogc1), ogc2))| { + let start = idx * chunk_pairs; + let end = start + ofc0.len(); + ext3_soa_product_fused_reduce_next_eval_into::( + &src_f_c0[2 * start..2 * end], + &src_f_c1[2 * start..2 * end], + &src_f_c2[2 * start..2 * end], + &src_g_c0[2 * start..2 * end], + &src_g_c1[2 * start..2 * end], + &src_g_c2[2 * start..2 * end], + ofc0, ofc1, ofc2, ogc0, ogc1, ogc2, + challenge, w, + ) + }) + .reduce( + || ([0u64; 3], [0u64; 3]), + |(a1, b1), (a2, b2)| { + ( + [ + F::scalar_add(a1[0], a2[0]), + F::scalar_add(a1[1], a2[1]), + F::scalar_add(a1[2], a2[2]), + ], + [ + F::scalar_add(b1[0], b2[0]), + F::scalar_add(b1[1], b2[1]), + F::scalar_add(b1[2], b2[2]), + ], + ) + }, + ) +} + +#[cfg(not(feature = "parallel"))] +#[allow(clippy::too_many_arguments)] +pub fn ext3_soa_product_fused_reduce_next_eval_parallel>( + src_f_c0: &[u64], + src_f_c1: &[u64], + src_f_c2: &[u64], + src_g_c0: &[u64], + src_g_c1: &[u64], + src_g_c2: &[u64], + out_f_c0: &mut [u64], + out_f_c1: &mut [u64], + out_f_c2: &mut [u64], + out_g_c0: &mut [u64], + out_g_c1: &mut [u64], + out_g_c2: &mut [u64], + challenge: [u64; 3], + w: u64, +) -> ([u64; 3], [u64; 3]) { + ext3_soa_product_fused_reduce_next_eval_into::( + src_f_c0, src_f_c1, src_f_c2, src_g_c0, src_g_c1, src_g_c2, + out_f_c0, out_f_c1, out_f_c2, out_g_c0, out_g_c1, out_g_c2, + challenge, w, + ) +} + /// SoA ext2 inner product evaluate. /// /// Given `f` and `g` as ext2 elements in SoA layout (f_c0, f_c1, g_c0, g_c1), @@ -2930,4 +3907,101 @@ mod tests { ); } } + + /// Verify the ext3 fused reduce+next-eval kernel produces the same + /// (reduced_data, a_{k+1}, b_{k+1}) as `reduce_only` followed by a + /// standalone `ext3_soa_product_evaluate` on the reduced data. + #[test] + fn test_ext3_fused_reduce_next_eval_matches_separate() { + use crate::tests::F64Ext3; + use ark_ff::UniformRand; + + let mut rng = test_rng(); + // Exercise SIMD main loop (n_out ≥ 2·LANES), scalar-tail pair, and + // straggler paths: large even, large odd, small. + for num_source_pairs in [32usize, 31, 17, 16, 8, 4, 2] { + let n_src = 2 * num_source_pairs; + // Sample random ext3 sources and convert to SoA u64 columns. + let f: Vec = (0..n_src).map(|_| F64Ext3::rand(&mut rng)).collect(); + let g: Vec = (0..n_src).map(|_| F64Ext3::rand(&mut rng)).collect(); + let (f_c0, f_c1, f_c2): (Vec, Vec, Vec) = { + let mut c0 = Vec::with_capacity(n_src); + let mut c1 = Vec::with_capacity(n_src); + let mut c2 = Vec::with_capacity(n_src); + for x in &f { + let bytes: [u64; 3] = + unsafe { *(x as *const F64Ext3 as *const [u64; 3]) }; + c0.push(bytes[0]); + c1.push(bytes[1]); + c2.push(bytes[2]); + } + (c0, c1, c2) + }; + let (g_c0, g_c1, g_c2): (Vec, Vec, Vec) = { + let mut c0 = Vec::with_capacity(n_src); + let mut c1 = Vec::with_capacity(n_src); + let mut c2 = Vec::with_capacity(n_src); + for x in &g { + let bytes: [u64; 3] = + unsafe { *(x as *const F64Ext3 as *const [u64; 3]) }; + c0.push(bytes[0]); + c1.push(bytes[1]); + c2.push(bytes[2]); + } + (c0, c1, c2) + }; + + // Random challenge and nonresidue in Montgomery form — use a + // small concrete nonresidue; the kernel treats `w` as opaque. + let chg: [u64; 3] = { + let c = F64Ext3::rand(&mut rng); + unsafe { *(&c as *const F64Ext3 as *const [u64; 3]) } + }; + let w: u64 = { + let nr = F64Ext3::rand(&mut rng); + unsafe { *(&nr as *const F64Ext3 as *const u64) } + }; + + // Reference: reduce_only then standalone evaluate on reduced. + let mut ref_out_f = (vec![0u64; n_src / 2], vec![0u64; n_src / 2], vec![0u64; n_src / 2]); + let mut ref_out_g = (vec![0u64; n_src / 2], vec![0u64; n_src / 2], vec![0u64; n_src / 2]); + ext3_soa_product_reduce_only_into::( + &f_c0, &f_c1, &f_c2, &g_c0, &g_c1, &g_c2, + &mut ref_out_f.0, &mut ref_out_f.1, &mut ref_out_f.2, + &mut ref_out_g.0, &mut ref_out_g.1, &mut ref_out_g.2, + chg, w, + ); + // Next-round evaluate: only defined when n_out ≥ 2. + let (ref_a, ref_b) = if n_src / 2 >= 2 { + ext3_soa_product_evaluate::( + &ref_out_f.0, &ref_out_f.1, &ref_out_f.2, + &ref_out_g.0, &ref_out_g.1, &ref_out_g.2, + w, + ) + } else { + ([0u64; 3], [0u64; 3]) + }; + + // Under test: fused kernel. + let mut got_out_f = (vec![0u64; n_src / 2], vec![0u64; n_src / 2], vec![0u64; n_src / 2]); + let mut got_out_g = (vec![0u64; n_src / 2], vec![0u64; n_src / 2], vec![0u64; n_src / 2]); + let (got_a, got_b) = ext3_soa_product_fused_reduce_next_eval_into::( + &f_c0, &f_c1, &f_c2, &g_c0, &g_c1, &g_c2, + &mut got_out_f.0, &mut got_out_f.1, &mut got_out_f.2, + &mut got_out_g.0, &mut got_out_g.1, &mut got_out_g.2, + chg, w, + ); + + assert_eq!(got_out_f.0, ref_out_f.0, "f_c0 mismatch (n_src={})", n_src); + assert_eq!(got_out_f.1, ref_out_f.1, "f_c1 mismatch (n_src={})", n_src); + assert_eq!(got_out_f.2, ref_out_f.2, "f_c2 mismatch (n_src={})", n_src); + assert_eq!(got_out_g.0, ref_out_g.0, "g_c0 mismatch (n_src={})", n_src); + assert_eq!(got_out_g.1, ref_out_g.1, "g_c1 mismatch (n_src={})", n_src); + assert_eq!(got_out_g.2, ref_out_g.2, "g_c2 mismatch (n_src={})", n_src); + if n_src / 2 >= 2 { + assert_eq!(got_a, ref_a, "a mismatch (n_src={})", n_src); + assert_eq!(got_b, ref_b, "b mismatch (n_src={})", n_src); + } + } + } } diff --git a/src/streams/memory/core.rs b/src/streams/memory/core.rs index 19afad66..93c1c5a3 100644 --- a/src/streams/memory/core.rs +++ b/src/streams/memory/core.rs @@ -1,5 +1,12 @@ -use crate::{order_strategy::OrderStrategy, streams::Stream}; +use crate::{ + order_strategy::{AscendingOrder, MSBOrder, OrderStrategy}, + streams::Stream, +}; use ark_ff::Field; +use core::any::TypeId; + +#[cfg(feature = "parallel")] +use rayon::iter::{IntoParallelIterator, ParallelIterator}; /* * It's totally reasonable to use this when the evaluations table @@ -11,10 +18,37 @@ pub struct MemoryStream { pub evaluations: Vec, } -pub fn reorder_vec(evaluations: Vec) -> Vec { +/// Reorder `evaluations` according to the iteration order defined by `O`. +/// +/// Fast paths for two well-known orders: +/// - [`MSBOrder`]: bit-reversal permutation, computed directly via +/// `usize::reverse_bits` and scattered in parallel with rayon. This is +/// the hot-path in recursive IOPs like whir that pad + reorder at the +/// entry of each sumcheck call; at 2^24 it was measured at ~46% of total +/// sumcheck time in a prior profile. +/// - [`AscendingOrder`]: identity permutation — just returns `evaluations` +/// unchanged. +/// +/// Arbitrary orders fall back to an iterator-based scatter (the original +/// generic path). +pub fn reorder_vec(evaluations: Vec) -> Vec { // abort if length not a power of two assert!(!evaluations.is_empty() && evaluations.len().count_ones() == 1); let num_vars = evaluations.len().trailing_zeros() as usize; + + // Fast path 1: MSB order is a bit-reversal permutation. Replace the + // iterator-based scatter with hardware `reverse_bits` + parallel scatter. + if TypeId::of::() == TypeId::of::() { + return bit_reverse_reorder(evaluations, num_vars); + } + + // Fast path 2: AscendingOrder is the identity permutation. No reorder + // needed — return the input unchanged. + if TypeId::of::() == TypeId::of::() { + return evaluations; + } + + // Generic fallback: iterator-based scatter, one push per index. let mut order = O::new(num_vars); let mut evaluations_ordered = Vec::with_capacity(evaluations.len()); for index in &mut order { @@ -23,6 +57,40 @@ pub fn reorder_vec(evaluations: Vec) -> Vec { evaluations_ordered } +/// Below this input size, the bit-reverse scatter runs serially. Rayon's +/// fork/join overhead otherwise dominates the (very cheap) per-element +/// work at small n — measured at 3×+ slowdown vs serial for n = 2^16. +const BIT_REVERSE_PARALLEL_THRESHOLD: usize = 1 << 17; + +/// Bit-reversal permutation: `out[i] = src[bit_reverse(i, num_vars)]`. +/// +/// Uses `usize::reverse_bits` (hardware instruction on most targets) for the +/// index computation. Parallel-scatters via rayon above +/// `BIT_REVERSE_PARALLEL_THRESHOLD`; below that, runs serially to avoid +/// fork/join overhead. +#[inline] +fn bit_reverse_reorder(src: Vec, num_vars: usize) -> Vec { + let n = src.len(); + if num_vars == 0 { + // `reverse_bits() >> usize::BITS` is undefined behaviour; handle the + // degenerate 1-element case (which is trivially identity) up front. + return src; + } + let shift = usize::BITS - num_vars as u32; + + #[cfg(feature = "parallel")] + { + if n > BIT_REVERSE_PARALLEL_THRESHOLD { + return (0..n) + .into_par_iter() + .map(|i| src[i.reverse_bits() >> shift]) + .collect(); + } + } + + (0..n).map(|i| src[i.reverse_bits() >> shift]).collect() +} + impl MemoryStream { pub fn new(evaluations: Vec) -> Self { // abort if length not a power of two @@ -30,7 +98,7 @@ impl MemoryStream { // return the MemoryStream instance Self { evaluations } } - pub fn new_from_lex(evaluations: Vec) -> Self { + pub fn new_from_lex(evaluations: Vec) -> Self { // abort if length not a power of two assert!(!evaluations.is_empty() && evaluations.len().count_ones() == 1); Self::new(reorder_vec::(evaluations)) @@ -45,3 +113,111 @@ impl Stream for MemoryStream { self.evaluations.len().ilog2() as usize } } + +#[cfg(test)] +mod tests { + use super::*; + use crate::{ + order_strategy::{DescendingOrder, GraycodeOrder}, + tests::F64, + }; + use ark_ff::UniformRand; + use ark_std::test_rng; + + /// Iterator-based reference implementation — same shape as the original + /// generic `reorder_vec` body before the TypeId fast paths were added. + fn reorder_vec_iter_reference(evaluations: Vec) -> Vec { + let num_vars = evaluations.len().trailing_zeros() as usize; + let mut order = O::new(num_vars); + let mut out = Vec::with_capacity(evaluations.len()); + for index in &mut order { + out.push(evaluations[index]); + } + out + } + + #[test] + fn msb_fast_path_matches_iterator() { + let mut rng = test_rng(); + for num_vars in [1usize, 2, 4, 8, 12] { + let n = 1usize << num_vars; + let input: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let expected = reorder_vec_iter_reference::(input.clone()); + let got = reorder_vec::(input); + assert_eq!(got, expected, "mismatch at num_vars={}", num_vars); + } + } + + #[test] + fn ascending_fast_path_is_identity() { + let mut rng = test_rng(); + let n = 1usize << 8; + let input: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let expected = input.clone(); + let got = reorder_vec::(input); + assert_eq!(got, expected); + } + + #[test] + fn non_msb_fallback_still_works() { + // Confirms the generic iterator path still runs correctly for + // orders that don't have a fast path (Descending, Graycode). + let mut rng = test_rng(); + let n = 1usize << 6; + let input: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + + let expected_desc = reorder_vec_iter_reference::(input.clone()); + let got_desc = reorder_vec::(input.clone()); + assert_eq!(got_desc, expected_desc); + + let expected_gray = reorder_vec_iter_reference::(input.clone()); + let got_gray = reorder_vec::(input); + assert_eq!(got_gray, expected_gray); + } + + #[test] + fn msb_num_vars_zero_edge_case() { + // n = 1 (num_vars = 0) would trigger `x >> usize::BITS` UB if not + // guarded. Confirm the short-circuit returns the input. + let input = vec![F64::from(42u64)]; + let got = reorder_vec::(input.clone()); + assert_eq!(got, input); + } + + /// Ad-hoc timing comparison. Not a real benchmark — for a rough + /// side-by-side of the new bit-reverse fast path vs the iterator + /// reference. Run with: + /// + /// ```text + /// cargo test --release --lib bench_reorder_msb -- --ignored --nocapture + /// ``` + #[test] + #[ignore] + fn bench_reorder_msb() { + use std::time::Instant; + + let mut rng = test_rng(); + for num_vars in [16usize, 18, 20, 22, 24] { + let n = 1usize << num_vars; + let input: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + + // Iterator reference (what was in the crate before this change). + let clone = input.clone(); + let t0 = Instant::now(); + let _r1 = reorder_vec_iter_reference::(clone); + let t_iter = t0.elapsed(); + + // Bit-reverse + parallel scatter fast path. + let clone = input.clone(); + let t0 = Instant::now(); + let _r2 = reorder_vec::(clone); + let t_fast = t0.elapsed(); + + let ratio = t_iter.as_secs_f64() / t_fast.as_secs_f64(); + println!( + "num_vars={:>2} n=2^{num_vars} iter={:>10.3?} fast={:>10.3?} speedup={:.2}x", + num_vars, t_iter, t_fast, ratio + ); + } + } +} From e1478a27a36da7fc1f9bbb979bc67dbd5a8147a9 Mon Sep 17 00:00:00 2001 From: EC2 Default User Date: Thu, 16 Apr 2026 08:15:28 +0000 Subject: [PATCH 40/52] chkpt: fused fold+compute in whir port; 3-way microbench - Adds fused_fold_and_compute_polynomial: single-pass kernel that folds a/b and computes (c0, c2) together in one sweep. Parity-tested vs the faithful port for pow2 and non-pow2 inputs. - Exposes whir_sumcheck_fused / _with_hook / _partial_with_hook siblings. - Microbench now compares effsc SIMD vs whir-faithful vs whir-fused at 2^20..=2^24. Fused is ~1.3-2x over the faithful port and ~2.5-4x over effsc's existing SIMD inner_product_sumcheck on Goldilocks. Co-Authored-By: Claude Opus 4.6 --- examples/whir_port_micro.rs | 92 +++++++ src/lib.rs | 6 + src/whir_sumcheck.rs | 533 ++++++++++++++++++++++++++++++++++++ tests/whir_sumcheck.rs | 302 ++++++++++++++++++++ 4 files changed, 933 insertions(+) create mode 100644 examples/whir_port_micro.rs create mode 100644 src/whir_sumcheck.rs create mode 100644 tests/whir_sumcheck.rs diff --git a/examples/whir_port_micro.rs b/examples/whir_port_micro.rs new file mode 100644 index 00000000..d75d94bb --- /dev/null +++ b/examples/whir_port_micro.rs @@ -0,0 +1,92 @@ +//! Quick microbench: effsc SIMD `inner_product_sumcheck` vs the WHIR port +//! (`whir_sumcheck`), one sample per size, Goldilocks (F64). +//! +//! Run: +//! RUSTFLAGS="-C target-feature=+avx512ifma" \ +//! cargo run --release --example whir_port_micro +//! +//! Notes: +//! - One sample per size is a smoke comparison, not a rigorous bench. Expect +//! ~10% run-to-run noise. +//! - Both variants are called on freshly-cloned inputs so the timings +//! aren't biased by cached-state differences. +//! - The inputs for the WHIR port are the same vectors as the effsc run +//! (WHIR consumes half-split / MSB layout natively — no reorder needed). + +use std::time::Instant; + +use ark_ff::UniformRand; +use ark_std::rand::{rngs::StdRng, SeedableRng}; + +use efficient_sumcheck::tests::F64; +use efficient_sumcheck::transcript::SanityTranscript; +use efficient_sumcheck::{inner_product_sumcheck, whir_sumcheck, whir_sumcheck_fused}; + +const LOG2_SIZES: &[u32] = &[20, 21, 22, 23, 24]; +const SEED: u64 = 0xA110C8ED; + +fn gen_inputs(n: usize) -> (Vec, Vec) { + let mut rng = StdRng::seed_from_u64(SEED); + let a: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let b: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + (a, b) +} + +fn time_effsc(a: &[F64], b: &[F64]) -> f64 { + let mut f = a.to_vec(); + let mut g = b.to_vec(); + let mut trng = StdRng::seed_from_u64(SEED); + let mut t = SanityTranscript::new(&mut trng); + let start = Instant::now(); + let _ = inner_product_sumcheck::(&mut f, &mut g, &mut t); + start.elapsed().as_secs_f64() +} + +fn time_whir_port(a: &[F64], b: &[F64]) -> f64 { + let mut f = a.to_vec(); + let mut g = b.to_vec(); + let mut trng = StdRng::seed_from_u64(SEED); + let mut t = SanityTranscript::new(&mut trng); + let start = Instant::now(); + let _ = whir_sumcheck(&mut f, &mut g, &mut t); + start.elapsed().as_secs_f64() +} + +fn time_whir_fused(a: &[F64], b: &[F64]) -> f64 { + let mut f = a.to_vec(); + let mut g = b.to_vec(); + let mut trng = StdRng::seed_from_u64(SEED); + let mut t = SanityTranscript::new(&mut trng); + let start = Instant::now(); + let _ = whir_sumcheck_fused(&mut f, &mut g, &mut t); + start.elapsed().as_secs_f64() +} + +fn main() { + println!( + "{:>6} {:>14} {:>14} {:>14} {:>10} {:>10}", + "log2 n", "effsc (SIMD)", "whir port", "whir fused", "port/effsc", "fused/port" + ); + println!("{}", "-".repeat(78)); + for &log2n in LOG2_SIZES { + let n = 1usize << log2n; + let (a, b) = gen_inputs(n); + + // Warm up the allocator/caches once so the first-size timing isn't + // penalised vs later sizes. + let _ = time_whir_port(&a[..(n.min(1 << 16))], &b[..(n.min(1 << 16))]); + + let effsc = time_effsc(&a, &b); + let whir = time_whir_port(&a, &b); + let fused = time_whir_fused(&a, &b); + println!( + "{:>6} {:>11.3} ms {:>11.3} ms {:>11.3} ms {:>9.2}x {:>9.2}x", + log2n, + effsc * 1e3, + whir * 1e3, + fused * 1e3, + whir / effsc, + fused / whir, + ); + } +} diff --git a/src/lib.rs b/src/lib.rs index 137a40e4..1ea83f97 100644 --- a/src/lib.rs +++ b/src/lib.rs @@ -31,6 +31,7 @@ pub mod transcript; mod inner_product_sumcheck; mod multilinear_sumcheck; +mod whir_sumcheck; pub use inner_product_sumcheck::{ accumulate_sparse_evaluations, batched_constraint_poly, inner_product_sumcheck, @@ -40,6 +41,11 @@ pub use multilinear_sumcheck::{ multilinear_sumcheck, multilinear_sumcheck_partial_with_hook, multilinear_sumcheck_with_hook, Sumcheck, }; +pub use whir_sumcheck::{ + whir_sumcheck, whir_sumcheck_fused, whir_sumcheck_fused_partial_with_hook, + whir_sumcheck_fused_with_hook, whir_sumcheck_partial_with_hook, whir_sumcheck_verify, + whir_sumcheck_verify_with_hook, whir_sumcheck_with_hook, +}; // ─── Internal / Advanced ───────────────────────────────────────────────────── diff --git a/src/whir_sumcheck.rs b/src/whir_sumcheck.rs new file mode 100644 index 00000000..6a7449c2 --- /dev/null +++ b/src/whir_sumcheck.rs @@ -0,0 +1,533 @@ +//! WHIR-style quadratic inner-product sumcheck (faithful port). +//! +//! This is a straight port of the sumcheck prover/verifier used in +//! `compsec-epfl/whir` (see `whir/src/protocols/sumcheck.rs` and +//! `whir/src/algebra/sumcheck.rs`). The hot-loop algorithm is preserved +//! byte-for-byte; only the outer transcript interface is adapted to our +//! [`Transcript`](crate::transcript::Transcript) trait. +//! +//! Key differences vs [`crate::inner_product_sumcheck`]: +//! +//! - **Layout**: half-split. `a[0..n/2]` vs `a[n/2..]` is the split for the +//! first variable (WHIR-native / MSB ordering). Callers do *not* need the +//! MSB↔LSB bit-reversal reorder that our pair-split dispatch requires. +//! - **Transcript format**: `(c0, c2)` in difference form per round, with +//! `c0 = q(0)` and `c2 = [x²] q(x)`. The verifier derives `c1` from the +//! sumcheck constraint `q(0) + q(1) = sum`. +//! - **No SIMD dispatch**. Uses rayon `join` with a workload threshold — +//! identical parallelism strategy to WHIR. +//! - **Staggered loop**: the round-`i` fold is deferred into round `i+1` +//! and fused with that round's compute (via [`fold_and_compute_polynomial`]). +//! The final challenge's fold happens once after the loop. +//! +//! Phase 1 of the WHIR-port plan: verify parity when dropped into `whir-effsc`. +//! Phase 2 will fuse `fold` + `compute` into a single pass (WHIR's own TODO), +//! and phase 3 will layer SIMD on top with a size threshold. + +use ark_ff::Field; +#[cfg(feature = "parallel")] +use rayon::join; +#[cfg(feature = "parallel")] +use rayon::prelude::*; + +use crate::transcript::Transcript; + +pub use crate::multilinear_product::ProductSumcheck; + +// ─── Workload threshold ───────────────────────────────────────────────────── + +/// Target single-thread workload size for `T`, mirroring `whir/src/utils.rs`. +/// Ideally a multiple of a cache line and close to L1 size. +const fn workload_size() -> usize { + #[cfg(all(target_arch = "aarch64", target_os = "macos"))] + const CACHE_SIZE: usize = 1 << 17; // 128 KiB Apple Silicon + #[cfg(all( + target_arch = "aarch64", + any(target_os = "ios", target_os = "android", target_os = "linux") + ))] + const CACHE_SIZE: usize = 1 << 16; // 64 KiB mobile/server ARM + #[cfg(target_arch = "x86_64")] + const CACHE_SIZE: usize = 1 << 15; // 32 KiB x86-64 + #[cfg(not(any( + all(target_arch = "aarch64", target_os = "macos"), + all( + target_arch = "aarch64", + any(target_os = "ios", target_os = "android", target_os = "linux") + ), + target_arch = "x86_64" + )))] + const CACHE_SIZE: usize = 1 << 15; + + CACHE_SIZE / core::mem::size_of::() +} + +// ─── Scalar helpers ───────────────────────────────────────────────────────── + +fn dot(a: &[F], b: &[F]) -> F { + debug_assert_eq!(a.len(), b.len()); + #[cfg(feature = "parallel")] + if a.len() > workload_size::() { + return a.par_iter().zip(b).map(|(x, y)| *x * *y).sum(); + } + a.iter().zip(b).map(|(x, y)| *x * *y).sum() +} + +fn scalar_mul(v: &mut [F], w: F) { + for x in v.iter_mut() { + *x *= w; + } +} + +// ─── Core algebra (ported verbatim from whir/src/algebra/sumcheck.rs) ─────── + +/// Computes the constant and quadratic coefficient of the sumcheck polynomial. +/// +/// Vectors `a` and `b` are implicitly zero-extended to the next power of two. +/// Returns `(c0, c2)` in difference form, where `q(x) = c0 + c1·x + c2·x²`. +pub fn compute_sumcheck_polynomial(a: &[F], b: &[F]) -> (F, F) { + fn recurse(a0: &[F], a1: &[F], b0: &[F], b1: &[F]) -> (F, F) { + debug_assert_eq!(a0.len(), b0.len()); + debug_assert_eq!(a1.len(), b1.len()); + debug_assert!(a0.len() == a1.len()); + + #[cfg(feature = "parallel")] + if a0.len() * 4 > workload_size::() { + let mid = a0.len() / 2; + let (a0l, a0r) = a0.split_at(mid); + let (b0l, b0r) = b0.split_at(mid); + let (a1l, a1r) = a1.split_at(mid); + let (b1l, b1r) = b1.split_at(mid); + let (left, right) = join( + || recurse(a0l, a1l, b0l, b1l), + || recurse(a0r, a1r, b0r, b1r), + ); + return (left.0 + right.0, left.1 + right.1); + } + let mut acc0 = F::ZERO; + let mut acc2 = F::ZERO; + for ((&a0, &a1), (&b0, &b1)) in a0.iter().zip(a1).zip(b0.iter().zip(b1)) { + acc0 += a0 * b0; + acc2 += (a1 - a0) * (b1 - b0); + } + (acc0, acc2) + } + + let non_padded = a.len().min(b.len()); + let a = &a[..non_padded]; + let b = &b[..non_padded]; + if a.is_empty() { + return (F::ZERO, F::ZERO); + } + if a.len() == 1 { + return (a[0] * b[0], F::ZERO); + } + + let half = a.len().next_power_of_two() >> 1; + let (a0, a1) = a.split_at(half); + let (b0, b1) = b.split_at(half); + debug_assert!(a0.len() >= a1.len()); + let (a0, a0_tail) = a0.split_at(a1.len()); + let (b0, b0_tail) = b0.split_at(a1.len()); + let (acc0, acc2) = recurse(a0, a1, b0, b1); + + // Tail part where a1, b1 is implicit zero padding. When a1 = b1 = 0, + // both contributions collapse to a0·b0. + let acc = dot(a0_tail, b0_tail); + + (acc0 + acc, acc2 + acc) +} + +/// Folds evaluations by linear interpolation at `weight`, in place. +/// +/// The `values` are implicitly zero-padded to the next power of two. On +/// return, the length is always a power of two (or zero). +pub fn fold(values: &mut Vec, weight: F) { + fn recurse_both(low: &mut [F], high: &[F], weight: F) { + #[cfg(feature = "parallel")] + if low.len() > workload_size::() { + let split = low.len() / 2; + let (ll, lr) = low.split_at_mut(split); + let (hl, hr) = high.split_at(split); + join( + || recurse_both(ll, hl, weight), + || recurse_both(lr, hr, weight), + ); + return; + } + for (low, high) in low.iter_mut().zip(high) { + *low += (*high - *low) * weight; + } + } + + if values.len() <= 1 { + return; + } + + let half = values.len().next_power_of_two() >> 1; + let (low, high) = values.split_at_mut(half); + debug_assert!(low.len() >= high.len()); + let (low, tail) = low.split_at_mut(high.len()); + recurse_both(low, high, weight); + + // Tail where `high` is implicit zero padding: *low *= 1 - weight. + scalar_mul(tail, F::ONE - weight); + + values.truncate(half); + values.shrink_to_fit(); +} + +/// WHIR's two-pass fold-then-compute. Kept verbatim for the faithful port. +pub fn fold_and_compute_polynomial( + a: &mut Vec, + b: &mut Vec, + weight: F, +) -> (F, F) { + fold(a, weight); + fold(b, weight); + compute_sumcheck_polynomial(a, b) +} + +/// Single-pass fused variant. Folds `a` and `b` by `weight` *and* computes the +/// next-round polynomial `(c0, c2)` in one sweep over memory. +/// +/// Layout observation: the fold splits at `L/2` and writes into `[0, L/2)`. +/// The subsequent compute splits the length-`L/2` folded vector at `L/4`. So +/// every quadruple `(a[k], a[k+L/4], a[k+L/2], a[k+3L/4])` is touched exactly +/// once — reading the old values, writing two folded values, and accumulating +/// the `(c0, c2)` contribution of the pair. +/// +/// Memory traffic vs the unfused path: 8 reads + 4 writes per quadruple +/// (fused) instead of 12 reads + 4 writes (fold a + fold b + compute), a ~25% +/// reduction — most of the remaining headroom is from cache locality, since +/// all four strides are active simultaneously instead of in separate passes. +/// +/// Falls back to the unfused path for small or non-pow2 inputs so the tail +/// accounting stays identical to WHIR's. +pub fn fused_fold_and_compute_polynomial( + a: &mut Vec, + b: &mut Vec, + weight: F, +) -> (F, F) { + let l = a.len(); + debug_assert_eq!(l, b.len()); + if !l.is_power_of_two() || l < 4 { + return fold_and_compute_polynomial(a, b, weight); + } + + #[allow(clippy::too_many_arguments)] + fn kernel( + a0: &mut [F], + a1: &mut [F], + a2: &[F], + a3: &[F], + b0: &mut [F], + b1: &mut [F], + b2: &[F], + b3: &[F], + weight: F, + ) -> (F, F) { + debug_assert_eq!(a0.len(), a1.len()); + debug_assert_eq!(a0.len(), a2.len()); + debug_assert_eq!(a0.len(), a3.len()); + debug_assert_eq!(a0.len(), b0.len()); + debug_assert_eq!(a0.len(), b1.len()); + debug_assert_eq!(a0.len(), b2.len()); + debug_assert_eq!(a0.len(), b3.len()); + + #[cfg(feature = "parallel")] + if a0.len() * 4 > workload_size::() { + let mid = a0.len() / 2; + let (a0l, a0r) = a0.split_at_mut(mid); + let (a1l, a1r) = a1.split_at_mut(mid); + let (a2l, a2r) = a2.split_at(mid); + let (a3l, a3r) = a3.split_at(mid); + let (b0l, b0r) = b0.split_at_mut(mid); + let (b1l, b1r) = b1.split_at_mut(mid); + let (b2l, b2r) = b2.split_at(mid); + let (b3l, b3r) = b3.split_at(mid); + let (left, right) = join( + || kernel(a0l, a1l, a2l, a3l, b0l, b1l, b2l, b3l, weight), + || kernel(a0r, a1r, a2r, a3r, b0r, b1r, b2r, b3r, weight), + ); + return (left.0 + right.0, left.1 + right.1); + } + + let mut c0 = F::ZERO; + let mut c2 = F::ZERO; + for i in 0..a0.len() { + let x0 = a0[i]; + let x1 = a1[i]; + let x2 = a2[i]; + let x3 = a3[i]; + let y0 = b0[i]; + let y1 = b1[i]; + let y2 = b2[i]; + let y3 = b3[i]; + + let na_lo = x0 + (x2 - x0) * weight; + let na_hi = x1 + (x3 - x1) * weight; + let nb_lo = y0 + (y2 - y0) * weight; + let nb_hi = y1 + (y3 - y1) * weight; + + a0[i] = na_lo; + a1[i] = na_hi; + b0[i] = nb_lo; + b1[i] = nb_hi; + + c0 += na_lo * nb_lo; + c2 += (na_hi - na_lo) * (nb_hi - nb_lo); + } + (c0, c2) + } + + let quarter = l / 4; + let half = l / 2; + + let (a_first, a_second) = a.split_at_mut(half); + let (a0, a1) = a_first.split_at_mut(quarter); + let (a2, a3) = a_second.split_at(quarter); + let (b_first, b_second) = b.split_at_mut(half); + let (b0, b1) = b_first.split_at_mut(quarter); + let (b2, b3) = b_second.split_at(quarter); + + let result = kernel(a0, a1, a2, a3, b0, b1, b2, b3, weight); + + a.truncate(half); + b.truncate(half); + // Note: unlike `fold`, we skip `shrink_to_fit` — the realloc/memcpy cost + // is paid every round, whereas the capacity is freed once the Vec drops. + result +} + +// ─── Prover ───────────────────────────────────────────────────────────────── + +/// Runs `num_rounds` rounds of WHIR's quadratic sumcheck on `(a, b)`, folding +/// both vectors in place. +/// +/// Transcript format per round: writes `c0` then `c2` (difference form), +/// then invokes `hook(round, transcript)` (for per-round PoW grinding or +/// similar), then reads the verifier challenge. +/// +/// Inputs follow WHIR's half-split layout — `a[0..n/2]` vs `a[n/2..]` is the +/// first-variable split. On return, if `num_rounds` reduces the input to +/// length 1, `final_evaluations = (a[0], b[0])`; otherwise `(F::ZERO, F::ZERO)`. +pub fn whir_sumcheck_partial_with_hook( + a: &mut Vec, + b: &mut Vec, + transcript: &mut T, + num_rounds: usize, + hook: H, +) -> ProductSumcheck +where + F: Field, + T: Transcript, + H: FnMut(usize, &mut T), +{ + whir_sumcheck_partial_inner(a, b, transcript, num_rounds, hook, fold_and_compute_polynomial) +} + +/// Same API as [`whir_sumcheck_partial_with_hook`] but uses the single-pass +/// [`fused_fold_and_compute_polynomial`] kernel. Semantically identical — +/// produces the same transcript bit-for-bit. +pub fn whir_sumcheck_fused_partial_with_hook( + a: &mut Vec, + b: &mut Vec, + transcript: &mut T, + num_rounds: usize, + hook: H, +) -> ProductSumcheck +where + F: Field, + T: Transcript, + H: FnMut(usize, &mut T), +{ + whir_sumcheck_partial_inner( + a, + b, + transcript, + num_rounds, + hook, + fused_fold_and_compute_polynomial, + ) +} + +fn whir_sumcheck_partial_inner( + a: &mut Vec, + b: &mut Vec, + transcript: &mut T, + num_rounds: usize, + mut hook: H, + mut fold_compute: K, +) -> ProductSumcheck +where + F: Field, + T: Transcript, + H: FnMut(usize, &mut T), + K: FnMut(&mut Vec, &mut Vec, F) -> (F, F), +{ + assert_eq!(a.len(), b.len()); + assert!( + num_rounds == 0 || a.len().next_power_of_two() >= 1 << num_rounds, + "num_rounds ({num_rounds}) exceeds log2 of next-pow2 of len ({})", + a.len(), + ); + + let mut prover_messages: Vec<(F, F)> = Vec::with_capacity(num_rounds); + let mut verifier_messages: Vec = Vec::with_capacity(num_rounds); + let mut folding_randomness: Option = None; + + for round in 0..num_rounds { + // Staggered: round-(i-1) fold is fused into round-i compute. + let (c0, c2) = if let Some(w) = folding_randomness { + fold_compute(a, b, w) + } else { + compute_sumcheck_polynomial(a, b) + }; + + prover_messages.push((c0, c2)); + transcript.write(c0); + transcript.write(c2); + + hook(round, transcript); + + let r = transcript.read(); + verifier_messages.push(r); + folding_randomness = Some(r); + } + + if let Some(w) = folding_randomness { + fold(a, w); + fold(b, w); + } + + let final_evaluations = if a.len() == 1 { + (a[0], b[0]) + } else { + (F::ZERO, F::ZERO) + }; + + ProductSumcheck { + prover_messages, + verifier_messages, + final_evaluations, + } +} + +/// Convenience: runs a full sumcheck (`log2(next_pow2(len))` rounds) with a +/// per-round hook. +pub fn whir_sumcheck_with_hook( + a: &mut Vec, + b: &mut Vec, + transcript: &mut T, + hook: H, +) -> ProductSumcheck +where + F: Field, + T: Transcript, + H: FnMut(usize, &mut T), +{ + let num_rounds = if a.is_empty() { + 0 + } else { + a.len().next_power_of_two().trailing_zeros() as usize + }; + whir_sumcheck_partial_with_hook(a, b, transcript, num_rounds, hook) +} + +/// Convenience: runs a full sumcheck with no per-round hook. +pub fn whir_sumcheck( + a: &mut Vec, + b: &mut Vec, + transcript: &mut T, +) -> ProductSumcheck +where + F: Field, + T: Transcript, +{ + whir_sumcheck_with_hook(a, b, transcript, |_, _| {}) +} + +/// Fused variant of [`whir_sumcheck_with_hook`]. +pub fn whir_sumcheck_fused_with_hook( + a: &mut Vec, + b: &mut Vec, + transcript: &mut T, + hook: H, +) -> ProductSumcheck +where + F: Field, + T: Transcript, + H: FnMut(usize, &mut T), +{ + let num_rounds = if a.is_empty() { + 0 + } else { + a.len().next_power_of_two().trailing_zeros() as usize + }; + whir_sumcheck_fused_partial_with_hook(a, b, transcript, num_rounds, hook) +} + +/// Fused variant of [`whir_sumcheck`]. +pub fn whir_sumcheck_fused( + a: &mut Vec, + b: &mut Vec, + transcript: &mut T, +) -> ProductSumcheck +where + F: Field, + T: Transcript, +{ + whir_sumcheck_fused_with_hook(a, b, transcript, |_, _| {}) +} + +// ─── Verifier ─────────────────────────────────────────────────────────────── + +/// Runs the verifier side of [`whir_sumcheck_partial_with_hook`]. Reads +/// `(c0, c2)` per round, derives `c1 = sum - 2·c0 - c2`, calls +/// `hook(round, transcript)` (for per-round PoW verification), reads the +/// challenge, and updates `sum` by Horner evaluation `(c2·r + c1)·r + c0`. +/// +/// Returns the sampled challenges. On return, `*sum` is the claim reduced +/// to the final folded point. +pub fn whir_sumcheck_verify_with_hook( + transcript: &mut T, + sum: &mut F, + num_rounds: usize, + mut hook: H, +) -> Vec +where + F: Field, + T: Transcript, + H: FnMut(usize, &mut T), +{ + let mut res = Vec::with_capacity(num_rounds); + for round in 0..num_rounds { + let c0: F = transcript.read(); + let c2: F = transcript.read(); + let c1 = *sum - c0.double() - c2; + + hook(round, transcript); + + let r = transcript.read(); + res.push(r); + *sum = (c2 * r + c1) * r + c0; + } + res +} + +/// Convenience wrapper over [`whir_sumcheck_verify_with_hook`] with no hook. +pub fn whir_sumcheck_verify( + transcript: &mut T, + sum: &mut F, + num_rounds: usize, +) -> Vec +where + F: Field, + T: Transcript, +{ + whir_sumcheck_verify_with_hook(transcript, sum, num_rounds, |_, _| {}) +} + +// Tests live in `tests/whir_sumcheck.rs` (integration target) because the +// sibling test modules currently fail to compile against the pinned +// spongefish revision, which blocks the whole lib-test target. diff --git a/tests/whir_sumcheck.rs b/tests/whir_sumcheck.rs new file mode 100644 index 00000000..29281bfc --- /dev/null +++ b/tests/whir_sumcheck.rs @@ -0,0 +1,302 @@ +//! Integration tests for the ported WHIR sumcheck. +//! +//! Kept out of the library's inline `#[cfg(test)]` blocks because the +//! sibling test modules (inner_product_sumcheck, multilinear_sumcheck, +//! coefficient_sumcheck) currently fail to compile against the pinned +//! spongefish revision (stale `domain_separator!` syntax), which blocks +//! the whole lib-test target. Integration tests only need the `lib` +//! target to build, so they're unaffected. + +use ark_ff::{AdditiveGroup, Field, UniformRand}; +use ark_std::rand::{rngs::StdRng, SeedableRng}; + +use efficient_sumcheck::tests::F64; +use efficient_sumcheck::transcript::SanityTranscript; +use efficient_sumcheck::{ + whir_sumcheck, whir_sumcheck_fused, whir_sumcheck_partial_with_hook, whir_sumcheck_with_hook, +}; + +const SEED: u64 = 0xA110C8ED; + +fn rng() -> StdRng { + StdRng::seed_from_u64(SEED) +} + +fn dot_ref(a: &[F], b: &[F]) -> F { + a.iter().zip(b).map(|(x, y)| *x * *y).sum() +} + +/// Evaluate the multilinear extension of `evals` at `point`, following +/// WHIR's half-split / MSB ordering: each round pops the top half of the +/// vector and linearly interpolates against the bottom half. +fn multilinear_extend(evals: &[F], point: &[F]) -> F { + assert_eq!(evals.len(), 1 << point.len()); + let mut current = evals.to_vec(); + for &r in point { + let half = current.len() / 2; + let (low, high) = current.split_at(half); + current = low + .iter() + .zip(high) + .map(|(l, h)| *l + (*h - *l) * r) + .collect(); + } + current[0] +} + +#[test] +fn test_power_of_two_roundtrip() { + let num_vars = 8; + let n = 1 << num_vars; + + let mut r = rng(); + let a_orig: Vec = (0..n).map(|_| F64::rand(&mut r)).collect(); + let b_orig: Vec = (0..n).map(|_| F64::rand(&mut r)).collect(); + let initial_sum = dot_ref(&a_orig, &b_orig); + + // Prover — SanityTranscript ignores writes and reads random challenges + // from a seeded RNG, so a fresh SanityTranscript with the same seed + // reproduces the exact challenge sequence on the verifier side. + let mut prover_rng = rng(); + let mut a = a_orig.clone(); + let mut b = b_orig.clone(); + let mut t_prove = SanityTranscript::new(&mut prover_rng); + let result = whir_sumcheck(&mut a, &mut b, &mut t_prove); + + assert_eq!(a.len(), 1); + assert_eq!(b.len(), 1); + assert_eq!(result.prover_messages.len(), num_vars); + assert_eq!(result.verifier_messages.len(), num_vars); + assert_eq!(result.final_evaluations, (a[0], b[0])); + + // SanityTranscript discards writes and draws reads from its RNG, so it + // can't round-trip a real Fiat-Shamir verifier. We check prover-side + // consistency instead: the folded values `(a[0], b[0])` match an + // independent multilinear extension of the originals at the verifier + // challenges produced by the prover run. + let _ = initial_sum; + assert_eq!(multilinear_extend(&a_orig, &result.verifier_messages), a[0]); + assert_eq!(multilinear_extend(&b_orig, &result.verifier_messages), b[0]); +} + +#[test] +fn test_non_power_of_two_partial_runs() { + // We can't cleanly round-trip verify through SanityTranscript, but we + // can confirm the prover runs to completion over non-pow2 inputs with + // the WHIR padding semantics and produces the expected message count. + let initial_size = 13_usize; + let padded = initial_size.next_power_of_two(); + let num_rounds = padded.trailing_zeros() as usize; + + let mut r = rng(); + let a_orig: Vec = (0..initial_size).map(|_| F64::rand(&mut r)).collect(); + let b_orig: Vec = (0..initial_size).map(|_| F64::rand(&mut r)).collect(); + + let mut prover_rng = rng(); + let mut a = a_orig.clone(); + let mut b = b_orig.clone(); + let mut t = SanityTranscript::new(&mut prover_rng); + let result = + whir_sumcheck_partial_with_hook(&mut a, &mut b, &mut t, num_rounds, |_, _| {}); + assert_eq!(result.prover_messages.len(), num_rounds); + assert_eq!(result.verifier_messages.len(), num_rounds); + assert_eq!(a.len(), 1); + assert_eq!(b.len(), 1); +} + +#[test] +fn test_partial_split_matches_full() { + // partial(k) then partial(n − k) produces the same transcript as one + // full run, and the second partial's `final_evaluations` equals the + // full run's. + let num_vars = 8; + let n = 1 << num_vars; + let split_at = 3; + + let mut r = rng(); + let a_orig: Vec = (0..n).map(|_| F64::rand(&mut r)).collect(); + let b_orig: Vec = (0..n).map(|_| F64::rand(&mut r)).collect(); + + let mut a_full = a_orig.clone(); + let mut b_full = b_orig.clone(); + let mut full_rng = rng(); + let mut t_full = SanityTranscript::new(&mut full_rng); + let full = whir_sumcheck(&mut a_full, &mut b_full, &mut t_full); + + let mut a = a_orig.clone(); + let mut b = b_orig.clone(); + let mut split_rng = rng(); + let mut t_split = SanityTranscript::new(&mut split_rng); + let first = + whir_sumcheck_partial_with_hook(&mut a, &mut b, &mut t_split, split_at, |_, _| {}); + let second = whir_sumcheck_partial_with_hook( + &mut a, + &mut b, + &mut t_split, + num_vars - split_at, + |_, _| {}, + ); + + let mut split_prover = first.prover_messages.clone(); + split_prover.extend(second.prover_messages.iter().copied()); + let mut split_verifier = first.verifier_messages.clone(); + split_verifier.extend(second.verifier_messages.iter().copied()); + + assert_eq!(split_prover, full.prover_messages); + assert_eq!(split_verifier, full.verifier_messages); + assert_eq!(second.final_evaluations, full.final_evaluations); + assert_eq!(first.final_evaluations, (F64::ZERO, F64::ZERO)); +} + +#[test] +fn test_hook_called_once_per_round() { + use std::cell::RefCell; + let num_vars = 6; + let n = 1 << num_vars; + + let mut r = rng(); + let mut a: Vec = (0..n).map(|_| F64::rand(&mut r)).collect(); + let mut b: Vec = (0..n).map(|_| F64::rand(&mut r)).collect(); + + let mut trng = rng(); + let mut t = SanityTranscript::new(&mut trng); + + let calls = RefCell::new(Vec::::new()); + let result = whir_sumcheck_with_hook(&mut a, &mut b, &mut t, |round, _| { + calls.borrow_mut().push(round); + }); + assert_eq!(result.prover_messages.len(), num_vars); + assert_eq!(calls.into_inner(), (0..num_vars).collect::>()); +} + +#[test] +fn test_zero_rounds_is_identity() { + let mut r = rng(); + let a_orig: Vec = (0..8).map(|_| F64::rand(&mut r)).collect(); + let b_orig: Vec = (0..8).map(|_| F64::rand(&mut r)).collect(); + let mut a = a_orig.clone(); + let mut b = b_orig.clone(); + let mut trng = rng(); + let mut t = SanityTranscript::new(&mut trng); + + let result = whir_sumcheck_partial_with_hook(&mut a, &mut b, &mut t, 0, |_, _| {}); + assert!(result.prover_messages.is_empty()); + assert!(result.verifier_messages.is_empty()); + assert_eq!(a, a_orig); + assert_eq!(b, b_orig); +} + +#[test] +fn test_prover_msg_is_difference_form() { + // Round-0 message (c0, c2) must be in difference form: + // c0 = Σ a_lo · b_lo (= q(0)) + // c2 = Σ (a_hi − a_lo)·(b_hi − b_lo) (= [x²] q(x)) + // so the verifier's `c1 = sum − 2·c0 − c2` derivation is correct. + let n = 16_usize; + let mut r = rng(); + let a: Vec = (0..n).map(|_| F64::rand(&mut r)).collect(); + let b: Vec = (0..n).map(|_| F64::rand(&mut r)).collect(); + + let mut a_mut = a.clone(); + let mut b_mut = b.clone(); + let mut trng = rng(); + let mut t = SanityTranscript::new(&mut trng); + let result = + whir_sumcheck_partial_with_hook(&mut a_mut, &mut b_mut, &mut t, 1, |_, _| {}); + let (c0, c2) = result.prover_messages[0]; + + let half = n / 2; + let expected_c0: F64 = a[..half].iter().zip(&b[..half]).map(|(x, y)| *x * *y).sum(); + let expected_c2: F64 = a[..half] + .iter() + .zip(&a[half..]) + .zip(b[..half].iter().zip(&b[half..])) + .map(|((a0, a1), (b0, b1))| (*a1 - *a0) * (*b1 - *b0)) + .sum(); + assert_eq!(c0, expected_c0); + assert_eq!(c2, expected_c2); +} + +#[test] +fn test_deterministic_under_same_seed() { + // Two independent runs with the same seed produce identical transcripts. + let n = 1 << 5; + let mut r = rng(); + let a_orig: Vec = (0..n).map(|_| F64::rand(&mut r)).collect(); + let b_orig: Vec = (0..n).map(|_| F64::rand(&mut r)).collect(); + + let run = || -> _ { + let mut a = a_orig.clone(); + let mut b = b_orig.clone(); + let mut trng = rng(); + let mut t = SanityTranscript::new(&mut trng); + whir_sumcheck(&mut a, &mut b, &mut t) + }; + let r1 = run(); + let r2 = run(); + assert_eq!(r1.prover_messages, r2.prover_messages); + assert_eq!(r1.verifier_messages, r2.verifier_messages); + assert_eq!(r1.final_evaluations, r2.final_evaluations); +} + +#[test] +fn test_fused_matches_faithful_pow2() { + // The fused kernel must produce bit-identical transcripts and folds to + // the faithful (unfused) path for pow2 inputs — otherwise the fusion + // arithmetic has drifted. + for &num_vars in &[1_usize, 2, 4, 7, 10] { + let n = 1 << num_vars; + let mut r = rng(); + let a_orig: Vec = (0..n).map(|_| F64::rand(&mut r)).collect(); + let b_orig: Vec = (0..n).map(|_| F64::rand(&mut r)).collect(); + + let mut a1 = a_orig.clone(); + let mut b1 = b_orig.clone(); + let mut rng1 = rng(); + let mut t1 = SanityTranscript::new(&mut rng1); + let faithful = whir_sumcheck(&mut a1, &mut b1, &mut t1); + + let mut a2 = a_orig.clone(); + let mut b2 = b_orig.clone(); + let mut rng2 = rng(); + let mut t2 = SanityTranscript::new(&mut rng2); + let fused = whir_sumcheck_fused(&mut a2, &mut b2, &mut t2); + + assert_eq!(faithful.prover_messages, fused.prover_messages, "n={n}"); + assert_eq!(faithful.verifier_messages, fused.verifier_messages, "n={n}"); + assert_eq!(faithful.final_evaluations, fused.final_evaluations, "n={n}"); + assert_eq!(a1, a2, "folded a mismatch at n={n}"); + assert_eq!(b1, b2, "folded b mismatch at n={n}"); + } +} + +#[test] +fn test_fused_matches_faithful_non_pow2() { + // Non-pow2 inputs fall back to the unfused path inside the fused kernel; + // verify the fallback is transparent. + for &n in &[3_usize, 5, 13, 33, 100] { + let mut r = rng(); + let a_orig: Vec = (0..n).map(|_| F64::rand(&mut r)).collect(); + let b_orig: Vec = (0..n).map(|_| F64::rand(&mut r)).collect(); + + let mut a1 = a_orig.clone(); + let mut b1 = b_orig.clone(); + let mut rng1 = rng(); + let mut t1 = SanityTranscript::new(&mut rng1); + let faithful = whir_sumcheck(&mut a1, &mut b1, &mut t1); + + let mut a2 = a_orig.clone(); + let mut b2 = b_orig.clone(); + let mut rng2 = rng(); + let mut t2 = SanityTranscript::new(&mut rng2); + let fused = whir_sumcheck_fused(&mut a2, &mut b2, &mut t2); + + assert_eq!(faithful.prover_messages, fused.prover_messages, "n={n}"); + assert_eq!(faithful.verifier_messages, fused.verifier_messages, "n={n}"); + assert_eq!(faithful.final_evaluations, fused.final_evaluations, "n={n}"); + } +} + +// Silence unused-import warning when this crate is built without tests +// exercising AdditiveGroup. (Referenced in F64::ZERO below.) +const _: F64 = ::ZERO; From fb7446ed2ea6bdd98e646257617bde8dd08d928f Mon Sep 17 00:00:00 2001 From: EC2 Default User Date: Thu, 16 Apr 2026 08:36:02 +0000 Subject: [PATCH 41/52] =?UTF-8?q?chkpt:=20microbench=20covers=20Goldilocks?= =?UTF-8?q?=C2=B3=20(F64Ext3)=20alongside=20F64?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Adds a second section to whir_port_micro comparing the three variants on F64Ext3 (24-byte elements). Two takeaways from the first run: - Fused keeps a ~20-60% lead over the faithful port in ext3 — the single-pass kernel still saves memory traffic even when element-size inflates the compute share. - effsc SIMD craters in ext3 (5-7x slower than fused at 2^18-2^22); the SIMD path is Goldilocks-specific and falls back to scalar under cubic-ext arithmetic. Caveat: canonical WHIR cross-field (BF=F64 evals, EF=F64Ext3 chals) is not benched here — the port is monomorphic. Co-Authored-By: Claude Opus 4.6 --- examples/whir_port_micro.rs | 51 ++++++++++++++++++++++--------------- 1 file changed, 30 insertions(+), 21 deletions(-) diff --git a/examples/whir_port_micro.rs b/examples/whir_port_micro.rs index d75d94bb..154fb3f4 100644 --- a/examples/whir_port_micro.rs +++ b/examples/whir_port_micro.rs @@ -1,5 +1,5 @@ //! Quick microbench: effsc SIMD `inner_product_sumcheck` vs the WHIR port -//! (`whir_sumcheck`), one sample per size, Goldilocks (F64). +//! (faithful) vs the WHIR port with fused fold+compute (`whir_sumcheck_fused`). //! //! Run: //! RUSTFLAGS="-C target-feature=+avx512ifma" \ @@ -8,41 +8,43 @@ //! Notes: //! - One sample per size is a smoke comparison, not a rigorous bench. Expect //! ~10% run-to-run noise. -//! - Both variants are called on freshly-cloned inputs so the timings -//! aren't biased by cached-state differences. -//! - The inputs for the WHIR port are the same vectors as the effsc run -//! (WHIR consumes half-split / MSB layout natively — no reorder needed). +//! - Each variant is called on freshly-cloned inputs so the timings aren't +//! biased by cached-state differences. +//! - For F64Ext3, the effsc run uses `inner_product_sumcheck::` +//! (both a/b and challenges in the extension) to match the WHIR port's +//! monomorphic signature. The canonical "cross-field" setting (base-field +//! evals, extension-field challenges) isn't covered here yet — the WHIR port +//! doesn't support it. use std::time::Instant; -use ark_ff::UniformRand; +use ark_ff::Field; use ark_std::rand::{rngs::StdRng, SeedableRng}; -use efficient_sumcheck::tests::F64; +use efficient_sumcheck::tests::{F64Ext3, F64}; use efficient_sumcheck::transcript::SanityTranscript; use efficient_sumcheck::{inner_product_sumcheck, whir_sumcheck, whir_sumcheck_fused}; -const LOG2_SIZES: &[u32] = &[20, 21, 22, 23, 24]; const SEED: u64 = 0xA110C8ED; -fn gen_inputs(n: usize) -> (Vec, Vec) { +fn gen_inputs(n: usize) -> (Vec, Vec) { let mut rng = StdRng::seed_from_u64(SEED); - let a: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - let b: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + let a: Vec = (0..n).map(|_| F::rand(&mut rng)).collect(); + let b: Vec = (0..n).map(|_| F::rand(&mut rng)).collect(); (a, b) } -fn time_effsc(a: &[F64], b: &[F64]) -> f64 { +fn time_effsc>(a: &[F], b: &[F]) -> f64 { let mut f = a.to_vec(); let mut g = b.to_vec(); let mut trng = StdRng::seed_from_u64(SEED); let mut t = SanityTranscript::new(&mut trng); let start = Instant::now(); - let _ = inner_product_sumcheck::(&mut f, &mut g, &mut t); + let _ = inner_product_sumcheck::(&mut f, &mut g, &mut t); start.elapsed().as_secs_f64() } -fn time_whir_port(a: &[F64], b: &[F64]) -> f64 { +fn time_whir_port(a: &[F], b: &[F]) -> f64 { let mut f = a.to_vec(); let mut g = b.to_vec(); let mut trng = StdRng::seed_from_u64(SEED); @@ -52,7 +54,7 @@ fn time_whir_port(a: &[F64], b: &[F64]) -> f64 { start.elapsed().as_secs_f64() } -fn time_whir_fused(a: &[F64], b: &[F64]) -> f64 { +fn time_whir_fused(a: &[F], b: &[F]) -> f64 { let mut f = a.to_vec(); let mut g = b.to_vec(); let mut trng = StdRng::seed_from_u64(SEED); @@ -62,23 +64,24 @@ fn time_whir_fused(a: &[F64], b: &[F64]) -> f64 { start.elapsed().as_secs_f64() } -fn main() { +fn run_section>(name: &str, sizes: &[u32]) { + println!("\n== {name} =="); println!( "{:>6} {:>14} {:>14} {:>14} {:>10} {:>10}", "log2 n", "effsc (SIMD)", "whir port", "whir fused", "port/effsc", "fused/port" ); println!("{}", "-".repeat(78)); - for &log2n in LOG2_SIZES { + for &log2n in sizes { let n = 1usize << log2n; - let (a, b) = gen_inputs(n); + let (a, b) = gen_inputs::(n); // Warm up the allocator/caches once so the first-size timing isn't // penalised vs later sizes. let _ = time_whir_port(&a[..(n.min(1 << 16))], &b[..(n.min(1 << 16))]); - let effsc = time_effsc(&a, &b); - let whir = time_whir_port(&a, &b); - let fused = time_whir_fused(&a, &b); + let effsc = time_effsc::(&a, &b); + let whir = time_whir_port::(&a, &b); + let fused = time_whir_fused::(&a, &b); println!( "{:>6} {:>11.3} ms {:>11.3} ms {:>11.3} ms {:>9.2}x {:>9.2}x", log2n, @@ -90,3 +93,9 @@ fn main() { ); } } + +fn main() { + run_section::("Goldilocks (F64, 8 B)", &[20, 21, 22, 23, 24]); + // F64Ext3 is 24 B/element; cap at 2^22 to stay under ~300 MiB per vector. + run_section::("Goldilocks³ (F64Ext3, 24 B)", &[18, 19, 20, 21, 22]); +} From 426e7de4d9d813024d11ed889b8f4af3a352a86e Mon Sep 17 00:00:00 2001 From: EC2 Default User Date: Thu, 16 Apr 2026 08:38:55 +0000 Subject: [PATCH 42/52] chkpt: extend ext3 bench to 2^24 MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Fused's lead over the faithful port shrinks in large ext3 (0.88-0.93x at 2^23-2^24) — element size inflates the compute share, so memory fusion's bandwidth win matters less. For ext3 the dominant cost is cubic-extension multiplication, not traffic. Co-Authored-By: Claude Opus 4.6 --- examples/whir_port_micro.rs | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/examples/whir_port_micro.rs b/examples/whir_port_micro.rs index 154fb3f4..e1f2b145 100644 --- a/examples/whir_port_micro.rs +++ b/examples/whir_port_micro.rs @@ -96,6 +96,6 @@ fn run_section>(name: &str, sizes: &[u32]) { fn main() { run_section::("Goldilocks (F64, 8 B)", &[20, 21, 22, 23, 24]); - // F64Ext3 is 24 B/element; cap at 2^22 to stay under ~300 MiB per vector. - run_section::("Goldilocks³ (F64Ext3, 24 B)", &[18, 19, 20, 21, 22]); + // F64Ext3 is 24 B/element; 2^24 = ~384 MiB per vector, fine on this box. + run_section::("Goldilocks³ (F64Ext3, 24 B)", &[20, 21, 22, 23, 24]); } From 4577d91b575f99537f915203c87a1e81ac4a70cc Mon Sep 17 00:00:00 2001 From: EC2 Default User Date: Thu, 16 Apr 2026 08:40:25 +0000 Subject: [PATCH 43/52] chkpt: slim microbench to whir-port vs whir-fused only MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Drop the effsc SIMD column from the comparison — the signal we care about now is fused-vs-faithful, not the effsc baseline. Co-Authored-By: Claude Opus 4.6 --- examples/whir_port_micro.rs | 34 ++++++++-------------------------- 1 file changed, 8 insertions(+), 26 deletions(-) diff --git a/examples/whir_port_micro.rs b/examples/whir_port_micro.rs index e1f2b145..08abac5e 100644 --- a/examples/whir_port_micro.rs +++ b/examples/whir_port_micro.rs @@ -1,5 +1,5 @@ -//! Quick microbench: effsc SIMD `inner_product_sumcheck` vs the WHIR port -//! (faithful) vs the WHIR port with fused fold+compute (`whir_sumcheck_fused`). +//! Quick microbench: the faithful WHIR port (`whir_sumcheck`) vs the fused +//! fold+compute variant (`whir_sumcheck_fused`). //! //! Run: //! RUSTFLAGS="-C target-feature=+avx512ifma" \ @@ -10,11 +10,6 @@ //! ~10% run-to-run noise. //! - Each variant is called on freshly-cloned inputs so the timings aren't //! biased by cached-state differences. -//! - For F64Ext3, the effsc run uses `inner_product_sumcheck::` -//! (both a/b and challenges in the extension) to match the WHIR port's -//! monomorphic signature. The canonical "cross-field" setting (base-field -//! evals, extension-field challenges) isn't covered here yet — the WHIR port -//! doesn't support it. use std::time::Instant; @@ -23,7 +18,7 @@ use ark_std::rand::{rngs::StdRng, SeedableRng}; use efficient_sumcheck::tests::{F64Ext3, F64}; use efficient_sumcheck::transcript::SanityTranscript; -use efficient_sumcheck::{inner_product_sumcheck, whir_sumcheck, whir_sumcheck_fused}; +use efficient_sumcheck::{whir_sumcheck, whir_sumcheck_fused}; const SEED: u64 = 0xA110C8ED; @@ -34,16 +29,6 @@ fn gen_inputs(n: usize) -> (Vec, Vec) { (a, b) } -fn time_effsc>(a: &[F], b: &[F]) -> f64 { - let mut f = a.to_vec(); - let mut g = b.to_vec(); - let mut trng = StdRng::seed_from_u64(SEED); - let mut t = SanityTranscript::new(&mut trng); - let start = Instant::now(); - let _ = inner_product_sumcheck::(&mut f, &mut g, &mut t); - start.elapsed().as_secs_f64() -} - fn time_whir_port(a: &[F], b: &[F]) -> f64 { let mut f = a.to_vec(); let mut g = b.to_vec(); @@ -64,13 +49,13 @@ fn time_whir_fused(a: &[F], b: &[F]) -> f64 { start.elapsed().as_secs_f64() } -fn run_section>(name: &str, sizes: &[u32]) { +fn run_section(name: &str, sizes: &[u32]) { println!("\n== {name} =="); println!( - "{:>6} {:>14} {:>14} {:>14} {:>10} {:>10}", - "log2 n", "effsc (SIMD)", "whir port", "whir fused", "port/effsc", "fused/port" + "{:>6} {:>14} {:>14} {:>10}", + "log2 n", "whir port", "whir fused", "fused/port" ); - println!("{}", "-".repeat(78)); + println!("{}", "-".repeat(50)); for &log2n in sizes { let n = 1usize << log2n; let (a, b) = gen_inputs::(n); @@ -79,16 +64,13 @@ fn run_section>(name: &str, sizes: &[u32]) { // penalised vs later sizes. let _ = time_whir_port(&a[..(n.min(1 << 16))], &b[..(n.min(1 << 16))]); - let effsc = time_effsc::(&a, &b); let whir = time_whir_port::(&a, &b); let fused = time_whir_fused::(&a, &b); println!( - "{:>6} {:>11.3} ms {:>11.3} ms {:>11.3} ms {:>9.2}x {:>9.2}x", + "{:>6} {:>11.3} ms {:>11.3} ms {:>9.2}x", log2n, - effsc * 1e3, whir * 1e3, fused * 1e3, - whir / effsc, fused / whir, ); } From a5f1aea9608844ee6480b72145e9d58aec5f6072 Mon Sep 17 00:00:00 2001 From: EC2 Default User Date: Thu, 16 Apr 2026 11:40:28 +0000 Subject: [PATCH 44/52] chng to msb --- benches/simd_vs_generic.rs | 14 +- examples/sumcheck_micro.rs | 80 ++ examples/whir_port_micro.rs | 83 -- src/inner_product_sumcheck.rs | 1030 ++++++----------- src/lib.rs | 39 +- src/multilinear_sumcheck.rs | 876 +++++--------- src/streams/memory/core.rs | 4 +- src/whir_sumcheck.rs | 533 --------- ..._sumcheck.rs => inner_product_sumcheck.rs} | 224 ++-- tests/multilinear_sumcheck.rs | 302 +++++ 10 files changed, 1213 insertions(+), 1972 deletions(-) create mode 100644 examples/sumcheck_micro.rs delete mode 100644 examples/whir_port_micro.rs delete mode 100644 src/whir_sumcheck.rs rename tests/{whir_sumcheck.rs => inner_product_sumcheck.rs} (56%) create mode 100644 tests/multilinear_sumcheck.rs diff --git a/benches/simd_vs_generic.rs b/benches/simd_vs_generic.rs index ab46851a..3b202dc9 100644 --- a/benches/simd_vs_generic.rs +++ b/benches/simd_vs_generic.rs @@ -46,7 +46,7 @@ fn simd_vs_generic_sumcheck(c: &mut Criterion) { |mut evals| { let mut rng = ark_std::test_rng(); let mut transcript = SanityTranscript::new(&mut rng); - black_box(multilinear_sumcheck::( + black_box(multilinear_sumcheck( &mut evals, &mut transcript, )); @@ -369,7 +369,7 @@ fn inner_product_sumcheck_bench(c: &mut Criterion) { |(mut f, mut g)| { let mut rng = ark_std::test_rng(); let mut transcript = SanityTranscript::new(&mut rng); - black_box(inner_product_sumcheck::( + black_box(inner_product_sumcheck( &mut f, &mut g, &mut transcript, @@ -645,7 +645,7 @@ fn extension_field_sumcheck_bench(c: &mut Criterion) { |mut evals| { let mut rng = ark_std::test_rng(); let mut transcript = SanityTranscript::new(&mut rng); - black_box(multilinear_sumcheck::( + black_box(multilinear_sumcheck( &mut evals, &mut transcript, )); @@ -701,7 +701,7 @@ fn extension_field_sumcheck_bench(c: &mut Criterion) { |mut evals| { let mut rng = ark_std::test_rng(); let mut transcript = SanityTranscript::new(&mut rng); - black_box(multilinear_sumcheck::( + black_box(multilinear_sumcheck( &mut evals, &mut transcript, )); @@ -772,7 +772,7 @@ fn inner_product_extension_bench(c: &mut Criterion) { |(mut f, mut g)| { let mut rng = ark_std::test_rng(); let mut transcript = SanityTranscript::new(&mut rng); - black_box(inner_product_sumcheck::( + black_box(inner_product_sumcheck( &mut f, &mut g, &mut transcript, @@ -829,7 +829,7 @@ fn inner_product_extension_bench(c: &mut Criterion) { |(mut f, mut g)| { let mut rng = ark_std::test_rng(); let mut transcript = SanityTranscript::new(&mut rng); - black_box(inner_product_sumcheck::( + black_box(inner_product_sumcheck( &mut f, &mut g, &mut transcript, @@ -886,7 +886,7 @@ fn inner_product_extension_bench(c: &mut Criterion) { |(mut f, mut g)| { let mut rng = ark_std::test_rng(); let mut transcript = SanityTranscript::new(&mut rng); - black_box(inner_product_sumcheck::( + black_box(inner_product_sumcheck( &mut f, &mut g, &mut transcript, diff --git a/examples/sumcheck_micro.rs b/examples/sumcheck_micro.rs new file mode 100644 index 00000000..4d962a29 --- /dev/null +++ b/examples/sumcheck_micro.rs @@ -0,0 +1,80 @@ +//! Microbench: multilinear and inner-product sumcheck on Goldilocks and +//! its cubic extensions. Single sample per size — smoke comparison, not a +//! rigorous bench (expect ~10% run-to-run noise). +//! +//! Run: +//! RUSTFLAGS="-C target-feature=+avx512ifma" \ +//! cargo run --release --example sumcheck_micro + +use std::time::Instant; + +use ark_ff::Field; +use ark_std::rand::{rngs::StdRng, SeedableRng}; + +use efficient_sumcheck::tests::{F64Ext2, F64Ext3, F64}; +use efficient_sumcheck::transcript::SanityTranscript; +use efficient_sumcheck::{inner_product_sumcheck, multilinear_sumcheck}; + +const SEED: u64 = 0xA110C8ED; + +fn gen_single(n: usize) -> Vec { + let mut rng = StdRng::seed_from_u64(SEED); + (0..n).map(|_| F::rand(&mut rng)).collect() +} + +fn gen_pair(n: usize) -> (Vec, Vec) { + let mut rng = StdRng::seed_from_u64(SEED); + let a: Vec = (0..n).map(|_| F::rand(&mut rng)).collect(); + let b: Vec = (0..n).map(|_| F::rand(&mut rng)).collect(); + (a, b) +} + +fn time_ml(v: &[F]) -> f64 { + let mut v = v.to_vec(); + let mut trng = StdRng::seed_from_u64(SEED); + let mut t = SanityTranscript::new(&mut trng); + let start = Instant::now(); + let _ = multilinear_sumcheck(&mut v, &mut t); + start.elapsed().as_secs_f64() +} + +fn time_ip(a: &[F], b: &[F]) -> f64 { + let mut f = a.to_vec(); + let mut g = b.to_vec(); + let mut trng = StdRng::seed_from_u64(SEED); + let mut t = SanityTranscript::new(&mut trng); + let start = Instant::now(); + let _ = inner_product_sumcheck(&mut f, &mut g, &mut t); + start.elapsed().as_secs_f64() +} + +fn run_section(name: &str, sizes: &[u32]) { + println!("\n== {name} =="); + println!("{:>6} {:>14} {:>14}", "log2 n", "multilinear", "inner prod"); + println!("{}", "-".repeat(40)); + for &log2n in sizes { + let n = 1usize << log2n; + + // Warm up allocator/caches once so the first-size timing isn't + // penalised vs later sizes. + let warm_n = n.min(1 << 16); + let warm_v = gen_single::(warm_n); + let _ = time_ml(&warm_v); + + let v = gen_single::(n); + let ml = time_ml::(&v); + drop(v); // free before allocating the IP pair. + + let (a, b) = gen_pair::(n); + let ip = time_ip::(&a, &b); + + println!("{:>6} {:>11.3} ms {:>11.3} ms", log2n, ml * 1e3, ip * 1e3); + } +} + +fn main() { + // g1 = Goldilocks (8 B), g2 = Goldilocks² (16 B), g3 = Goldilocks³ (24 B). + run_section::("g1: Goldilocks (F64, 8 B)", &[20, 21, 22, 23, 24]); + run_section::("g2: Goldilocks² (F64Ext2, 16 B)", &[20, 21, 22, 23, 24]); + run_section::("g3: Goldilocks³ (F64Ext3, 24 B)", &[20, 21, 22, 23, 24]); +} diff --git a/examples/whir_port_micro.rs b/examples/whir_port_micro.rs deleted file mode 100644 index 08abac5e..00000000 --- a/examples/whir_port_micro.rs +++ /dev/null @@ -1,83 +0,0 @@ -//! Quick microbench: the faithful WHIR port (`whir_sumcheck`) vs the fused -//! fold+compute variant (`whir_sumcheck_fused`). -//! -//! Run: -//! RUSTFLAGS="-C target-feature=+avx512ifma" \ -//! cargo run --release --example whir_port_micro -//! -//! Notes: -//! - One sample per size is a smoke comparison, not a rigorous bench. Expect -//! ~10% run-to-run noise. -//! - Each variant is called on freshly-cloned inputs so the timings aren't -//! biased by cached-state differences. - -use std::time::Instant; - -use ark_ff::Field; -use ark_std::rand::{rngs::StdRng, SeedableRng}; - -use efficient_sumcheck::tests::{F64Ext3, F64}; -use efficient_sumcheck::transcript::SanityTranscript; -use efficient_sumcheck::{whir_sumcheck, whir_sumcheck_fused}; - -const SEED: u64 = 0xA110C8ED; - -fn gen_inputs(n: usize) -> (Vec, Vec) { - let mut rng = StdRng::seed_from_u64(SEED); - let a: Vec = (0..n).map(|_| F::rand(&mut rng)).collect(); - let b: Vec = (0..n).map(|_| F::rand(&mut rng)).collect(); - (a, b) -} - -fn time_whir_port(a: &[F], b: &[F]) -> f64 { - let mut f = a.to_vec(); - let mut g = b.to_vec(); - let mut trng = StdRng::seed_from_u64(SEED); - let mut t = SanityTranscript::new(&mut trng); - let start = Instant::now(); - let _ = whir_sumcheck(&mut f, &mut g, &mut t); - start.elapsed().as_secs_f64() -} - -fn time_whir_fused(a: &[F], b: &[F]) -> f64 { - let mut f = a.to_vec(); - let mut g = b.to_vec(); - let mut trng = StdRng::seed_from_u64(SEED); - let mut t = SanityTranscript::new(&mut trng); - let start = Instant::now(); - let _ = whir_sumcheck_fused(&mut f, &mut g, &mut t); - start.elapsed().as_secs_f64() -} - -fn run_section(name: &str, sizes: &[u32]) { - println!("\n== {name} =="); - println!( - "{:>6} {:>14} {:>14} {:>10}", - "log2 n", "whir port", "whir fused", "fused/port" - ); - println!("{}", "-".repeat(50)); - for &log2n in sizes { - let n = 1usize << log2n; - let (a, b) = gen_inputs::(n); - - // Warm up the allocator/caches once so the first-size timing isn't - // penalised vs later sizes. - let _ = time_whir_port(&a[..(n.min(1 << 16))], &b[..(n.min(1 << 16))]); - - let whir = time_whir_port::(&a, &b); - let fused = time_whir_fused::(&a, &b); - println!( - "{:>6} {:>11.3} ms {:>11.3} ms {:>9.2}x", - log2n, - whir * 1e3, - fused * 1e3, - fused / whir, - ); - } -} - -fn main() { - run_section::("Goldilocks (F64, 8 B)", &[20, 21, 22, 23, 24]); - // F64Ext3 is 24 B/element; 2^24 = ~384 MiB per vector, fine on this box. - run_section::("Goldilocks³ (F64Ext3, 24 B)", &[20, 21, 22, 23, 24]); -} diff --git a/src/inner_product_sumcheck.rs b/src/inner_product_sumcheck.rs index d71c56df..0b18a092 100644 --- a/src/inner_product_sumcheck.rs +++ b/src/inner_product_sumcheck.rs @@ -1,137 +1,302 @@ -//! Inner product sumcheck protocol. +//! Quadratic inner-product sumcheck: `∑_x f(x)·g(x)`. //! -//! Given two evaluation vectors `f` and `g` representing multilinear polynomials on -//! the boolean hypercube `{0,1}^n`, the [`inner_product_sumcheck`] function executes -//! `n` rounds of the product sumcheck protocol computing `∑_x f(x)·g(x)`, and returns -//! the resulting [`ProductSumcheck`] transcript. +//! Half-split (MSB) layout with a fused fold+compute kernel. +//! Round `i` folds the top-most remaining variable — the split is over +//! `a[0..L/2]` vs `a[L/2..L]`, *not* the adjacent pairs `(a[2k], a[2k+1])` +//! of a pair-split (LSB) layout. Callers whose upstream indexing assumed +//! pair-split semantics must reorder their inputs with a bit-reversal. //! -//! The function is parameterized by two field types: -//! - `BF` (base field): the field the evaluations live in -//! - `EF` (extension field): the field challenges are sampled from +//! Wire format per round: `(c0, c2)` in *difference form*, where +//! - `c0 = q(0) = Σ a_lo·b_lo` +//! - `c2 = [x²] q(x) = Σ (a_hi − a_lo)·(b_hi − b_lo)` +//! and the verifier derives `c1 = claim − 2·c0 − c2` from the sumcheck +//! constraint `q(0) + q(1) = claim`. //! -//! When no extension field is needed, set `EF = BF`. -//! -//! # Example -//! -//! ```text -//! use efficient_sumcheck::{inner_product_sumcheck, ProductSumcheck}; -//! use efficient_sumcheck::transcript::SanityTranscript; -//! -//! // No extension field (BF = EF): -//! let mut f = vec![F::from(1), F::from(2), F::from(3), F::from(4)]; -//! let mut g = vec![F::from(5), F::from(6), F::from(7), F::from(8)]; -//! let mut transcript = SanityTranscript::new(&mut rng); -//! let result: ProductSumcheck = inner_product_sumcheck(&mut f, &mut g, &mut transcript); -//! ``` - -use ark_std::collections::HashMap; -use nohash_hasher::BuildNoHashHasher; +//! The fused kernel rolls the round-`i` fold into the round-`(i+1)` compute, +//! cutting memory traffic from 12 reads + 4 writes per quadruple to 8 reads +//! + 4 writes — roughly a 25% reduction on the cold path, with additional +//! cache-locality gains from reading all four strides simultaneously. use ark_ff::Field; +#[cfg(feature = "parallel")] +use rayon::join; +#[cfg(feature = "parallel")] +use rayon::prelude::*; use crate::transcript::Transcript; pub use crate::multilinear_product::ProductSumcheck; -pub type FastMap = HashMap>; +// ─── Workload threshold ───────────────────────────────────────────────────── + +/// Target single-thread workload size for `T`. Close to L1 cache. +const fn workload_size() -> usize { + #[cfg(all(target_arch = "aarch64", target_os = "macos"))] + const CACHE_SIZE: usize = 1 << 17; + #[cfg(all( + target_arch = "aarch64", + any(target_os = "ios", target_os = "android", target_os = "linux") + ))] + const CACHE_SIZE: usize = 1 << 16; + #[cfg(target_arch = "x86_64")] + const CACHE_SIZE: usize = 1 << 15; + #[cfg(not(any( + all(target_arch = "aarch64", target_os = "macos"), + all( + target_arch = "aarch64", + any(target_os = "ios", target_os = "android", target_os = "linux") + ), + target_arch = "x86_64" + )))] + const CACHE_SIZE: usize = 1 << 15; + + CACHE_SIZE / core::mem::size_of::() +} + +// ─── Scalar helpers ───────────────────────────────────────────────────────── + +fn dot(a: &[F], b: &[F]) -> F { + debug_assert_eq!(a.len(), b.len()); + #[cfg(feature = "parallel")] + if a.len() > workload_size::() { + return a.par_iter().zip(b).map(|(x, y)| *x * *y).sum(); + } + a.iter().zip(b).map(|(x, y)| *x * *y).sum() +} + +fn scalar_mul(v: &mut [F], w: F) { + for x in v.iter_mut() { + *x *= w; + } +} -pub fn batched_constraint_poly( - dense_polys: &Vec>, - sparse_polys: &FastMap, -) -> Vec { - fn sum_columns(matrix: &Vec>) -> Vec { - if matrix.is_empty() { - return vec![]; +// ─── Core algebra ─────────────────────────────────────────────────────────── + +/// `(c0, c2)` of the round polynomial `q(x) = c0 + c1·x + c2·x²`. +/// +/// Vectors `a` and `b` are implicitly zero-extended to the next power of two. +pub fn compute_sumcheck_polynomial(a: &[F], b: &[F]) -> (F, F) { + fn recurse(a0: &[F], a1: &[F], b0: &[F], b1: &[F]) -> (F, F) { + debug_assert_eq!(a0.len(), b0.len()); + debug_assert_eq!(a1.len(), b1.len()); + debug_assert!(a0.len() == a1.len()); + + #[cfg(feature = "parallel")] + if a0.len() * 4 > workload_size::() { + let mid = a0.len() / 2; + let (a0l, a0r) = a0.split_at(mid); + let (b0l, b0r) = b0.split_at(mid); + let (a1l, a1r) = a1.split_at(mid); + let (b1l, b1r) = b1.split_at(mid); + let (left, right) = join( + || recurse(a0l, a1l, b0l, b1l), + || recurse(a0r, a1r, b0r, b1r), + ); + return (left.0 + right.0, left.1 + right.1); } - let mut result = vec![F::ZERO; matrix[0].len()]; - for row in matrix { - for (i, &val) in row.iter().enumerate() { - result[i] += val; - } + let mut acc0 = F::ZERO; + let mut acc2 = F::ZERO; + for ((&a0, &a1), (&b0, &b1)) in a0.iter().zip(a1).zip(b0.iter().zip(b1)) { + acc0 += a0 * b0; + acc2 += (a1 - a0) * (b1 - b0); } - result + (acc0, acc2) } - let mut res = sum_columns(dense_polys); - for (k, v) in sparse_polys.iter() { - res[*k] += v; + + let non_padded = a.len().min(b.len()); + let a = &a[..non_padded]; + let b = &b[..non_padded]; + if a.is_empty() { + return (F::ZERO, F::ZERO); } - res + if a.len() == 1 { + return (a[0] * b[0], F::ZERO); + } + + let half = a.len().next_power_of_two() >> 1; + let (a0, a1) = a.split_at(half); + let (b0, b1) = b.split_at(half); + debug_assert!(a0.len() >= a1.len()); + let (a0, a0_tail) = a0.split_at(a1.len()); + let (b0, b0_tail) = b0.split_at(a1.len()); + let (acc0, acc2) = recurse(a0, a1, b0, b1); + + // Tail (a1, b1 = implicit zero padding): both contributions collapse to a0·b0. + let acc = dot(a0_tail, b0_tail); + (acc0 + acc, acc2 + acc) } -// [CBBZ23] hyperplonk optimization -/// Accumulate eq polynomial evaluations at binary query points into a sparse map. -/// Skips indices `0..=s`. -pub fn accumulate_sparse_evaluations( - zetas: Vec<&[F]>, - eq_evals: Vec, - s: usize, - r: usize, -) -> FastMap { - let mut result = FastMap::default(); - for i in 1 + s..r { - let index = zetas[i] - .iter() - .enumerate() - .filter_map(|(j, bit)| bit.is_one().then_some(1 << j)) - .sum::(); - *result.entry(index).or_insert(F::zero()) += &eq_evals[i]; +/// In-place half-split fold: `new[k] = v[k] + (v[k+L/2] − v[k]) · weight`. +/// +/// `values` is implicitly zero-padded to the next power of two. On return, +/// the length is a power of two (or zero). +pub fn fold(values: &mut Vec, weight: F) { + fn recurse_both(low: &mut [F], high: &[F], weight: F) { + #[cfg(feature = "parallel")] + if low.len() > workload_size::() { + let split = low.len() / 2; + let (ll, lr) = low.split_at_mut(split); + let (hl, hr) = high.split_at(split); + join( + || recurse_both(ll, hl, weight), + || recurse_both(lr, hr, weight), + ); + return; + } + for (low, high) in low.iter_mut().zip(high) { + *low += (*high - *low) * weight; + } } - result + + if values.len() <= 1 { + return; + } + + let half = values.len().next_power_of_two() >> 1; + let (low, high) = values.split_at_mut(half); + debug_assert!(low.len() >= high.len()); + let (low, tail) = low.split_at_mut(high.len()); + recurse_both(low, high, weight); + + // Tail with implicit zero high: *low *= 1 − weight. + scalar_mul(tail, F::ONE - weight); + + values.truncate(half); + values.shrink_to_fit(); } -/// Run the inner product sumcheck protocol over two evaluation vectors, -/// using a generic [`Transcript`] for Fiat-Shamir (or sanity/random challenges). -/// -/// `BF` is the base field of the evaluations, `EF` is the extension field for challenges. -/// When `BF = EF`, this is the standard single-field inner product sumcheck. -/// When `BF ≠ EF`, round 0 evaluates in `BF` and lifts to `EF`, then subsequent -/// rounds work entirely in `EF`. -/// -/// Each round: -/// 1. Computes `(a, b)` — the constant and linear coefficients of the degree-2 -/// round polynomial `q(x) = a + bx + cx²`. -/// 2. Writes them to the transcript (2 field elements). -/// 3. Reads the verifier's challenge from the transcript (1 field element). -/// 4. Reduces both evaluation vectors by folding with the challenge. -/// -/// The verifier derives `c = claim - 2a - b` from the constraint `q(0) + q(1) = claim`. -pub fn inner_product_sumcheck>( - f: &mut [BF], - g: &mut [BF], - transcript: &mut impl Transcript, -) -> ProductSumcheck { - inner_product_sumcheck_with_hook(f, g, transcript, |_, _| {}) +/// Two-pass fold-then-compute; reference version kept for testing. +pub fn fold_and_compute_polynomial( + a: &mut Vec, + b: &mut Vec, + weight: F, +) -> (F, F) { + fold(a, weight); + fold(b, weight); + compute_sumcheck_polynomial(a, b) } -/// Like [`inner_product_sumcheck`], but calls `hook(round_idx, transcript)` -/// each round *after* the prover message is written and *before* the verifier -/// challenge is read. +/// Fused single-pass variant. /// -/// See [`crate::multilinear_sumcheck_with_hook`] for the motivating use case -/// (per-round proof-of-work grinding, etc.). -/// Partial inner-product sumcheck: runs `max_rounds` rounds and stops. +/// Folds `a` and `b` by `weight` *and* computes the next-round polynomial +/// `(c0, c2)` in one sweep. The fold writes `[0, L/2)`; the subsequent +/// compute splits the length-`L/2` folded vector at `L/4`. So every +/// quadruple `(x[k], x[k+L/4], x[k+L/2], x[k+3L/4])` is touched exactly +/// once — 8 reads + 4 writes (fused) vs. 12 reads + 4 writes (unfused). /// -/// Folds `f` and `g` in place (truncating them to length `original / 2^max_rounds`) -/// so the caller can feed them into a subsequent partial sumcheck call. This -/// is the shape recursive IOPs (e.g. whir) need: between rounds the caller -/// commits, opens, and mutates the running claim before continuing. +/// Falls back to the unfused path for small or non-pow2 inputs so the +/// implicit-zero tail accounting stays identical. +pub fn fused_fold_and_compute_polynomial( + a: &mut Vec, + b: &mut Vec, + weight: F, +) -> (F, F) { + let l = a.len(); + debug_assert_eq!(l, b.len()); + if !l.is_power_of_two() || l < 4 { + return fold_and_compute_polynomial(a, b, weight); + } + + #[allow(clippy::too_many_arguments)] + fn kernel( + a0: &mut [F], + a1: &mut [F], + a2: &[F], + a3: &[F], + b0: &mut [F], + b1: &mut [F], + b2: &[F], + b3: &[F], + weight: F, + ) -> (F, F) { + debug_assert_eq!(a0.len(), a1.len()); + debug_assert_eq!(a0.len(), a2.len()); + debug_assert_eq!(a0.len(), a3.len()); + debug_assert_eq!(a0.len(), b0.len()); + debug_assert_eq!(a0.len(), b1.len()); + debug_assert_eq!(a0.len(), b2.len()); + debug_assert_eq!(a0.len(), b3.len()); + + #[cfg(feature = "parallel")] + if a0.len() * 4 > workload_size::() { + let mid = a0.len() / 2; + let (a0l, a0r) = a0.split_at_mut(mid); + let (a1l, a1r) = a1.split_at_mut(mid); + let (a2l, a2r) = a2.split_at(mid); + let (a3l, a3r) = a3.split_at(mid); + let (b0l, b0r) = b0.split_at_mut(mid); + let (b1l, b1r) = b1.split_at_mut(mid); + let (b2l, b2r) = b2.split_at(mid); + let (b3l, b3r) = b3.split_at(mid); + let (left, right) = join( + || kernel(a0l, a1l, a2l, a3l, b0l, b1l, b2l, b3l, weight), + || kernel(a0r, a1r, a2r, a3r, b0r, b1r, b2r, b3r, weight), + ); + return (left.0 + right.0, left.1 + right.1); + } + + let mut c0 = F::ZERO; + let mut c2 = F::ZERO; + for i in 0..a0.len() { + let x0 = a0[i]; + let x1 = a1[i]; + let x2 = a2[i]; + let x3 = a3[i]; + let y0 = b0[i]; + let y1 = b1[i]; + let y2 = b2[i]; + let y3 = b3[i]; + + let na_lo = x0 + (x2 - x0) * weight; + let na_hi = x1 + (x3 - x1) * weight; + let nb_lo = y0 + (y2 - y0) * weight; + let nb_hi = y1 + (y3 - y1) * weight; + + a0[i] = na_lo; + a1[i] = na_hi; + b0[i] = nb_lo; + b1[i] = nb_hi; + + c0 += na_lo * nb_lo; + c2 += (na_hi - na_lo) * (nb_hi - nb_lo); + } + (c0, c2) + } + + let quarter = l / 4; + let half = l / 2; + + let (a_first, a_second) = a.split_at_mut(half); + let (a0, a1) = a_first.split_at_mut(quarter); + let (a2, a3) = a_second.split_at(quarter); + let (b_first, b_second) = b.split_at_mut(half); + let (b0, b1) = b_first.split_at_mut(quarter); + let (b2, b3) = b_second.split_at(quarter); + + let result = kernel(a0, a1, a2, a3, b0, b1, b2, b3, weight); + + a.truncate(half); + b.truncate(half); + // Skip shrink_to_fit — realloc per round is pricier than the capacity + // we carry; the capacity frees once the Vec drops. + result +} + +// ─── Prover ───────────────────────────────────────────────────────────────── + +/// Runs `num_rounds` rounds on `(a, b)`, folding both in place. /// -/// Requires `BF = EF = F` (no cross-field lift). Uses SIMD-accelerated -/// [`crate::simd_ops::pairwise_product_sum`] and [`crate::simd_ops::fold_both`] -/// per round, so SIMD dispatch happens under the hood — but without the -/// fused reduce+evaluate optimization the full-sumcheck dispatch has. For -/// whir-style calls where `max_rounds` is small (e.g. a folding factor), this -/// is the right tradeoff. +/// Transcript per round: writes `c0` then `c2` (difference form), invokes +/// `hook(round, transcript)`, then reads the verifier challenge. /// -/// `ProductSumcheck::final_evaluations` is populated only if `max_rounds` -/// reduces `f` to length 1 (i.e., a complete sumcheck); otherwise -/// `(F::ZERO, F::ZERO)`. The caller uses `f[0]` / `g[0]` of the returned -/// folded vectors for the intermediate state. +/// On return, if `num_rounds == log2(next_pow2(len))` then `a` and `b` have +/// length 1 and `final_evaluations = (a[0], b[0])`; otherwise +/// `(F::ZERO, F::ZERO)`. pub fn inner_product_sumcheck_partial_with_hook( - f: &mut Vec, - g: &mut Vec, + a: &mut Vec, + b: &mut Vec, transcript: &mut T, - max_rounds: usize, + num_rounds: usize, mut hook: H, ) -> ProductSumcheck where @@ -139,47 +304,43 @@ where T: Transcript, H: FnMut(usize, &mut T), { - assert_eq!(f.len(), g.len()); - assert!(f.len().count_ones() == 1, "length must be a power of 2"); - let total_rounds = f.len().trailing_zeros() as usize; + assert_eq!(a.len(), b.len()); assert!( - max_rounds <= total_rounds, - "max_rounds ({max_rounds}) exceeds available rounds ({total_rounds})" + num_rounds == 0 || a.len().next_power_of_two() >= 1 << num_rounds, + "num_rounds ({num_rounds}) exceeds log2 of next-pow2 of len ({})", + a.len(), ); - // Fast path: SoA-persistent SIMD dispatch for Goldilocks ext2/ext3 on - // AVX-512. Keeps SoA state across all `max_rounds` rounds — one - // AoS→SoA conversion at entry, one SoA→AoS at exit (vs the per-round - // round-trip of the fallback loop). - #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] - { - if let Some(result) = crate::simd_sumcheck::dispatch::try_simd_ext_product_partial_dispatch( - f, g, transcript, max_rounds, &mut hook, - ) { - return result; - } - } - - let mut prover_messages: Vec<(F, F)> = Vec::with_capacity(max_rounds); - let mut verifier_messages: Vec = Vec::with_capacity(max_rounds); + let mut prover_messages: Vec<(F, F)> = Vec::with_capacity(num_rounds); + let mut verifier_messages: Vec = Vec::with_capacity(num_rounds); + let mut folding_randomness: Option = None; - for round in 0..max_rounds { - let msg = crate::simd_ops::pairwise_product_sum(f, g); + for round in 0..num_rounds { + // Staggered: round-(i-1) fold is fused into round-i compute. + let (c0, c2) = if let Some(w) = folding_randomness { + fused_fold_and_compute_polynomial(a, b, w) + } else { + compute_sumcheck_polynomial(a, b) + }; - prover_messages.push(msg); - transcript.write(msg.0); - transcript.write(msg.1); + prover_messages.push((c0, c2)); + transcript.write(c0); + transcript.write(c2); hook(round, transcript); - let chg = transcript.read(); - verifier_messages.push(chg); + let r = transcript.read(); + verifier_messages.push(r); + folding_randomness = Some(r); + } - crate::simd_ops::fold_both(f, g, chg); + if let Some(w) = folding_randomness { + fold(a, w); + fold(b, w); } - let final_evaluations = if f.len() == 1 { - (f[0], g[0]) + let final_evaluations = if a.len() == 1 { + (a[0], b[0]) } else { (F::ZERO, F::ZERO) }; @@ -191,543 +352,86 @@ where } } -pub fn inner_product_sumcheck_with_hook( - f: &mut [BF], - g: &mut [BF], +/// Full sumcheck (`log2(next_pow2(len))` rounds) with a per-round hook. +pub fn inner_product_sumcheck_with_hook( + a: &mut Vec, + b: &mut Vec, transcript: &mut T, - mut hook: H, -) -> ProductSumcheck + hook: H, +) -> ProductSumcheck where - BF: Field, - EF: Field + From, - T: Transcript, + F: Field, + T: Transcript, H: FnMut(usize, &mut T), { - assert_eq!(f.len(), g.len()); - assert!(f.len().count_ones() == 1); - - // ── SIMD auto-dispatch ── - #[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") - ))] - { - // Try base-field dispatch first (BF == EF == Goldilocks base) - if let Some(result) = - crate::simd_sumcheck::dispatch::try_simd_product_dispatch::( - f, g, transcript, &mut hook, - ) - { - return result; - } - // Try extension-field dispatch (BF == EF == Goldilocks ext2) - if let Some(result) = - crate::simd_sumcheck::dispatch::try_simd_ext_product_dispatch::( - f, g, transcript, &mut hook, - ) - { - return result; - } - } - - let num_rounds = f.len().trailing_zeros() as usize; - let mut prover_messages: Vec<(EF, EF)> = vec![]; - let mut verifier_messages: Vec = vec![]; - let mut final_evaluations = (EF::ZERO, EF::ZERO); - - // ── Round 0: evaluate in BF, lift to EF, cross-field reduce ── - if num_rounds > 0 { - // Use simd_ops for round 0 evaluate (SIMD-accelerated for Goldilocks) - let msg_bf = crate::simd_ops::pairwise_product_sum(f, g); - let msg = (EF::from(msg_bf.0), EF::from(msg_bf.1)); - - prover_messages.push(msg); - transcript.write(msg.0); - transcript.write(msg.1); - - hook(0, transcript); - - let chg = transcript.read(); - verifier_messages.push(chg); - - // Cross-field reduce: BF evaluations + EF challenge → Vec - let mut ef_f = crate::simd_ops::cross_field_fold(f, chg); - let mut ef_g = crate::simd_ops::cross_field_fold(g, chg); - - // Remaining rounds work in EF. - for round in 1..num_rounds { - // SIMD-accelerated product evaluate (dispatches for Goldilocks base) - let msg = crate::simd_ops::pairwise_product_sum(&ef_f, &ef_g); - - prover_messages.push(msg); - transcript.write(msg.0); - transcript.write(msg.1); - - hook(round, transcript); - - let chg = transcript.read(); - verifier_messages.push(chg); - - // SIMD-accelerated fold (dispatches for Goldilocks base + extensions) - crate::simd_ops::fold(&mut ef_f, chg); - crate::simd_ops::fold(&mut ef_g, chg); - } - - debug_assert_eq!(ef_f.len(), 1); - debug_assert_eq!(ef_g.len(), 1); - final_evaluations = (ef_f[0], ef_g[0]); - } - - ProductSumcheck { - verifier_messages, - prover_messages, - final_evaluations, - } + let num_rounds = if a.is_empty() { + 0 + } else { + a.len().next_power_of_two().trailing_zeros() as usize + }; + inner_product_sumcheck_partial_with_hook(a, b, transcript, num_rounds, hook) } -#[cfg(test)] -mod tests { - use super::*; - use ark_ff::{AdditiveGroup, UniformRand}; - use ark_std::test_rng; - - use crate::tests::F64; - - const NUM_VARS: usize = 4; // vectors of length 2^4 = 16 - - #[test] - fn test_inner_product_sumcheck_sanity() { - use crate::transcript::SanityTranscript; - - let mut rng = test_rng(); - - let n = 1 << NUM_VARS; - let mut f: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - let mut g: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - - let mut transcript = SanityTranscript::new(&mut rng); - let result = inner_product_sumcheck::(&mut f, &mut g, &mut transcript); - - assert_eq!(result.prover_messages.len(), NUM_VARS); - assert_eq!(result.verifier_messages.len(), NUM_VARS); - } - - #[test] - fn test_simd_parity_with_generic() { - // Compare SIMD auto-dispatch path against the generic TimeProductProver path. - // Both should produce identical prover messages given the same transcript. - use crate::transcript::SanityTranscript; - - let mut eval_rng = test_rng(); - let n = 1usize << 8; - let f_orig: Vec = (0..n).map(|_| F64::rand(&mut eval_rng)).collect(); - let g_orig: Vec = (0..n).map(|_| F64::rand(&mut eval_rng)).collect(); - - // Run via inner_product_sumcheck (SIMD dispatched for F64/Goldilocks) - let mut rng1 = test_rng(); - let mut f1 = f_orig.clone(); - let mut g1 = g_orig.clone(); - let mut t1 = SanityTranscript::new(&mut rng1); - let simd_result = inner_product_sumcheck::(&mut f1, &mut g1, &mut t1); - - // Run the generic path manually (bypass SIMD dispatch) - let mut rng2 = test_rng(); - let mut t2 = SanityTranscript::new(&mut rng2); - let num_rounds = n.trailing_zeros() as usize; - let mut generic_prover_msgs = Vec::with_capacity(num_rounds); - let mut generic_verifier_msgs = Vec::with_capacity(num_rounds); - - use crate::multilinear::reductions::pairwise; - use crate::multilinear_product::provers::time::reductions::pairwise::pairwise_product_evaluate; - - // Round 0 - let msg = pairwise_product_evaluate(&[f_orig.clone(), g_orig.clone()]); - generic_prover_msgs.push(msg); - t2.write(msg.0); - t2.write(msg.1); - let chg: F64 = t2.read(); - generic_verifier_msgs.push(chg); - let mut ef_f = pairwise::cross_field_reduce(&f_orig, chg); - let mut ef_g = pairwise::cross_field_reduce(&g_orig, chg); - - // Rounds 1+ - for _ in 1..num_rounds { - let msg = pairwise_product_evaluate(&[ef_f.clone(), ef_g.clone()]); - generic_prover_msgs.push(msg); - t2.write(msg.0); - t2.write(msg.1); - let chg: F64 = t2.read(); - generic_verifier_msgs.push(chg); - pairwise::reduce_evaluations(&mut ef_f, chg); - pairwise::reduce_evaluations(&mut ef_g, chg); - } - - // Compare - assert_eq!(simd_result.prover_messages.len(), generic_prover_msgs.len()); - for (i, (s, g)) in simd_result - .prover_messages - .iter() - .zip(generic_prover_msgs.iter()) - .enumerate() - { - assert_eq!(s.0, g.0, "a mismatch at round {i}"); - assert_eq!(s.1, g.1, "b mismatch at round {i}"); - } - assert_eq!(simd_result.verifier_messages, generic_verifier_msgs); - } - - #[test] - fn test_inner_product_sumcheck_spongefish() { - use crate::transcript::SpongefishTranscript; - - let mut rng = test_rng(); - - let n = 1 << NUM_VARS; - let mut f: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - let mut g: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - - let domsep = spongefish::domain_separator!("test-inner-product-sumcheck"; module_path!()) - .instance(b"test"); - - let prover_state = domsep.std_prover(); - let mut transcript = SpongefishTranscript::new(prover_state); - let result = inner_product_sumcheck::(&mut f, &mut g, &mut transcript); - - assert_eq!(result.prover_messages.len(), NUM_VARS); - assert_eq!(result.verifier_messages.len(), NUM_VARS); - } - - #[test] - fn test_inner_product_extension_field() { - // Test inner product sumcheck with BF = EF = F64Ext2. - use crate::tests::F64Ext2; - use crate::transcript::SanityTranscript; - - let mut rng = test_rng(); - let n = 1 << 6; - let mut f: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); - let mut g: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); - - let mut transcript = SanityTranscript::new(&mut rng); - let result = inner_product_sumcheck::(&mut f, &mut g, &mut transcript); - - assert_eq!(result.prover_messages.len(), 6); - assert_eq!(result.verifier_messages.len(), 6); - } - - /// Sanity check for the ext2 IP SIMD dispatch path at a small size (below the - /// parallel threshold). Pre-existing test_inner_product_extension_field only - /// checks message counts, so this catches round-0 evaluate mismatches too. - #[test] - fn test_ip_ext2_small_matches_reference() { - use crate::multilinear::reductions::pairwise; - use crate::multilinear_product::provers::time::reductions::pairwise::pairwise_product_evaluate; - use crate::tests::F64Ext2; - use crate::transcript::SanityTranscript; - - let mut rng = test_rng(); - let n: usize = 1 << 8; - let f: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); - let g: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); - - let mut rng1 = test_rng(); - let mut f1 = f.clone(); - let mut g1 = g.clone(); - let mut t1 = SanityTranscript::new(&mut rng1); - let simd_result = - inner_product_sumcheck::(&mut f1, &mut g1, &mut t1); - - let mut rng2 = test_rng(); - let mut t2 = SanityTranscript::new(&mut rng2); - let num_rounds = n.trailing_zeros() as usize; - let mut ref_msgs = Vec::with_capacity(num_rounds); - let mut ef_f = f; - let mut ef_g = g; - for _ in 0..num_rounds { - let msg = pairwise_product_evaluate(&[ef_f.clone(), ef_g.clone()]); - ref_msgs.push(msg); - t2.write(msg.0); - t2.write(msg.1); - let chg: F64Ext2 = t2.read(); - pairwise::reduce_evaluations(&mut ef_f, chg); - pairwise::reduce_evaluations(&mut ef_g, chg); - } - - for (i, (s, r)) in simd_result - .prover_messages - .iter() - .zip(ref_msgs.iter()) - .enumerate() - { - assert_eq!(s.0, r.0, "a mismatch at round {i}"); - assert_eq!(s.1, r.1, "b mismatch at round {i}"); - } - } - - /// Exercises the rayon-parallel SoA product reduce path (n > 2^17 threshold). - #[test] - fn test_ip_ext2_parallel_path_matches_reference() { - use crate::multilinear::reductions::pairwise; - use crate::multilinear_product::provers::time::reductions::pairwise::pairwise_product_evaluate; - use crate::tests::F64Ext2; - use crate::transcript::SanityTranscript; - - let mut rng = test_rng(); - let n: usize = 1 << 18; - let f: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); - let g: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); - - // SIMD path (hits parallel dispatch above threshold) - let mut rng1 = test_rng(); - let mut f1 = f.clone(); - let mut g1 = g.clone(); - let mut t1 = SanityTranscript::new(&mut rng1); - let parallel_result = - inner_product_sumcheck::(&mut f1, &mut g1, &mut t1); - - // Reference: generic pairwise evaluate+reduce loop - let mut rng2 = test_rng(); - let mut t2 = SanityTranscript::new(&mut rng2); - let num_rounds = n.trailing_zeros() as usize; - let mut ref_msgs = Vec::with_capacity(num_rounds); - let mut ef_f = f; - let mut ef_g = g; - for _ in 0..num_rounds { - let msg = pairwise_product_evaluate(&[ef_f.clone(), ef_g.clone()]); - ref_msgs.push(msg); - t2.write(msg.0); - t2.write(msg.1); - let chg: F64Ext2 = t2.read(); - pairwise::reduce_evaluations(&mut ef_f, chg); - pairwise::reduce_evaluations(&mut ef_g, chg); - } - - assert_eq!(parallel_result.prover_messages.len(), ref_msgs.len()); - for (i, (s, ref_msg)) in parallel_result - .prover_messages - .iter() - .zip(ref_msgs.iter()) - .enumerate() - { - assert_eq!(s.0, ref_msg.0, "a mismatch at round {i}"); - assert_eq!(s.1, ref_msg.1, "b mismatch at round {i}"); - } - } - - #[test] - fn test_ip_ext3_parallel_path_matches_reference() { - use crate::multilinear::reductions::pairwise; - use crate::multilinear_product::provers::time::reductions::pairwise::pairwise_product_evaluate; - use crate::tests::F64Ext3; - use crate::transcript::SanityTranscript; - - let mut rng = test_rng(); - let n: usize = 1 << 18; - let f: Vec = (0..n).map(|_| F64Ext3::rand(&mut rng)).collect(); - let g: Vec = (0..n).map(|_| F64Ext3::rand(&mut rng)).collect(); - - let mut rng1 = test_rng(); - let mut f1 = f.clone(); - let mut g1 = g.clone(); - let mut t1 = SanityTranscript::new(&mut rng1); - let parallel_result = - inner_product_sumcheck::(&mut f1, &mut g1, &mut t1); - - let mut rng2 = test_rng(); - let mut t2 = SanityTranscript::new(&mut rng2); - let num_rounds = n.trailing_zeros() as usize; - let mut ref_msgs = Vec::with_capacity(num_rounds); - let mut ef_f = f; - let mut ef_g = g; - for _ in 0..num_rounds { - let msg = pairwise_product_evaluate(&[ef_f.clone(), ef_g.clone()]); - ref_msgs.push(msg); - t2.write(msg.0); - t2.write(msg.1); - let chg: F64Ext3 = t2.read(); - pairwise::reduce_evaluations(&mut ef_f, chg); - pairwise::reduce_evaluations(&mut ef_g, chg); - } - - for (i, (s, ref_msg)) in parallel_result - .prover_messages - .iter() - .zip(ref_msgs.iter()) - .enumerate() - { - assert_eq!(s.0, ref_msg.0, "a mismatch at round {i}"); - assert_eq!(s.1, ref_msg.1, "b mismatch at round {i}"); - } - } - - fn fold_multilinear(evals: &[F], challenges: &[F]) -> F { - let mut current = evals.to_vec(); - for &chg in challenges { - let mut next = Vec::with_capacity(current.len() / 2); - for pair in current.chunks(2) { - next.push(pair[0] + chg * (pair[1] - pair[0])); - } - current = next; - } - debug_assert_eq!(current.len(), 1); - current[0] - } +/// Full sumcheck with no per-round hook. +pub fn inner_product_sumcheck( + a: &mut Vec, + b: &mut Vec, + transcript: &mut T, +) -> ProductSumcheck +where + F: Field, + T: Transcript, +{ + inner_product_sumcheck_with_hook(a, b, transcript, |_, _| {}) +} - #[test] - fn test_final_evaluations_match_independent_fold_base() { - use crate::transcript::SanityTranscript; - - let num_vars = 8; - let n = 1 << num_vars; - let mut rng = test_rng(); - let f_orig: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - let g_orig: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - - let mut f = f_orig.clone(); - let mut g = g_orig.clone(); - let mut transcript = SanityTranscript::new(&mut rng); - let result = inner_product_sumcheck::(&mut f, &mut g, &mut transcript); - - let expected_f = fold_multilinear(&f_orig, &result.verifier_messages); - let expected_g = fold_multilinear(&g_orig, &result.verifier_messages); - assert_eq!(result.final_evaluations.0, expected_f, "f final mismatch"); - assert_eq!(result.final_evaluations.1, expected_g, "g final mismatch"); - } +// ─── Verifier ─────────────────────────────────────────────────────────────── - #[test] - fn test_final_evaluations_match_independent_fold_ext2() { - use crate::tests::F64Ext2; - use crate::transcript::SanityTranscript; - - let num_vars = 8; - let n = 1 << num_vars; - let mut rng = test_rng(); - let f_orig: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); - let g_orig: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); - - let mut f = f_orig.clone(); - let mut g = g_orig.clone(); - let mut transcript = SanityTranscript::new(&mut rng); - let result = - inner_product_sumcheck::(&mut f, &mut g, &mut transcript); - - let expected_f = fold_multilinear(&f_orig, &result.verifier_messages); - let expected_g = fold_multilinear(&g_orig, &result.verifier_messages); - assert_eq!(result.final_evaluations.0, expected_f, "ext2 f final mismatch"); - assert_eq!(result.final_evaluations.1, expected_g, "ext2 g final mismatch"); - } +/// Verifier side of [`inner_product_sumcheck_with_hook`]. +/// +/// Reads `(c0, c2)` per round, derives `c1 = sum − 2·c0 − c2`, calls +/// `hook(round, transcript)`, reads the challenge, and updates `sum` by +/// Horner evaluation `(c2·r + c1)·r + c0`. Returns the sampled challenges; +/// `*sum` is the claim reduced to the final folded point. +pub fn inner_product_sumcheck_verify_with_hook( + transcript: &mut T, + sum: &mut F, + num_rounds: usize, + mut hook: H, +) -> Vec +where + F: Field, + T: Transcript, + H: FnMut(usize, &mut T), +{ + let mut res = Vec::with_capacity(num_rounds); + for round in 0..num_rounds { + let c0: F = transcript.read(); + let c2: F = transcript.read(); + let c1 = *sum - c0.double() - c2; - #[test] - fn test_partial_split_matches_full() { - // Running partial(N rounds) then partial(M rounds) on the folded state - // must produce the same transcript as a single full run of N+M rounds. - use crate::transcript::SanityTranscript; - - let num_vars = 8; - let n = 1 << num_vars; - let split_at = 3; - let mut rng = test_rng(); - let f_orig: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - let g_orig: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - - // Full: single end-to-end run. - let mut rng1 = test_rng(); - let mut f_full = f_orig.clone(); - let mut g_full = g_orig.clone(); - let mut t_full = SanityTranscript::new(&mut rng1); - let full = inner_product_sumcheck::(&mut f_full, &mut g_full, &mut t_full); - - // Split: two partial runs on the same transcript. - let mut rng2 = test_rng(); - let mut f = f_orig.clone(); - let mut g = g_orig.clone(); - let mut t_split = SanityTranscript::new(&mut rng2); - let first = inner_product_sumcheck_partial_with_hook( - &mut f, - &mut g, - &mut t_split, - split_at, - |_, _| {}, - ); - let second = inner_product_sumcheck_partial_with_hook( - &mut f, - &mut g, - &mut t_split, - num_vars - split_at, - |_, _| {}, - ); - - let mut split_prover_msgs = first.prover_messages.clone(); - split_prover_msgs.extend(second.prover_messages.iter().copied()); - let mut split_verifier_msgs = first.verifier_messages.clone(); - split_verifier_msgs.extend(second.verifier_messages.iter().copied()); - - assert_eq!(split_prover_msgs, full.prover_messages, "prover msgs"); - assert_eq!(split_verifier_msgs, full.verifier_messages, "verifier msgs"); - assert_eq!(second.final_evaluations, full.final_evaluations, "final"); - assert_eq!(first.final_evaluations, (F64::ZERO, F64::ZERO), "partial final should be zero"); - } + hook(round, transcript); - #[test] - fn test_with_hook_called_once_per_round() { - use crate::transcript::SanityTranscript; - use std::cell::RefCell; - - let num_vars = 6; - let n = 1 << num_vars; - let mut rng = test_rng(); - let mut f: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - let mut g: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - let mut transcript = SanityTranscript::new(&mut rng); - - let calls = RefCell::new(Vec::::new()); - let result = inner_product_sumcheck_with_hook::( - &mut f, - &mut g, - &mut transcript, - |round, _t| calls.borrow_mut().push(round), - ); - - assert_eq!(result.prover_messages.len(), num_vars); - let calls = calls.into_inner(); - assert_eq!(calls, (0..num_vars).collect::>(), "hook must be called once per round in order"); + let r = transcript.read(); + res.push(r); + *sum = (c2 * r + c1) * r + c0; } + res +} - #[test] - fn test_with_hook_injects_into_transcript() { - use crate::transcript::SpongefishTranscript; - - let num_vars = 4; - let n = 1 << num_vars; - - let mut rng = test_rng(); - let f_orig: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - let g_orig: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - - let run = |tag: F64, f: Vec, g: Vec| { - let mut f = f; - let mut g = g; - let domsep = spongefish::domain_separator!("hook-test-ip"; module_path!()) - .instance(b"test"); - let prover_state = domsep.std_prover(); - let mut transcript = SpongefishTranscript::new(prover_state); - inner_product_sumcheck_with_hook::( - &mut f, - &mut g, - &mut transcript, - move |_round, t| { - t.write(tag); - }, - ) - }; - - let result_a = run(F64::from(1u64), f_orig.clone(), g_orig.clone()); - let result_b = run(F64::from(2u64), f_orig, g_orig); - - assert_ne!( - result_a.verifier_messages[0], - result_b.verifier_messages[0], - "hook writes must affect Fiat-Shamir state" - ); - } +/// Convenience wrapper over [`inner_product_sumcheck_verify_with_hook`] with no hook. +pub fn inner_product_sumcheck_verify( + transcript: &mut T, + sum: &mut F, + num_rounds: usize, +) -> Vec +where + F: Field, + T: Transcript, +{ + inner_product_sumcheck_verify_with_hook(transcript, sum, num_rounds, |_, _| {}) } + +// Tests live in `tests/inner_product_sumcheck.rs` (integration target) — +// the lib-test target is blocked by unrelated modules with stale +// `domain_separator!` syntax. diff --git a/src/lib.rs b/src/lib.rs index 1ea83f97..827b62a1 100644 --- a/src/lib.rs +++ b/src/lib.rs @@ -1,28 +1,32 @@ //! # efficient-sumcheck //! -//! Space-efficient implementations of the sumcheck protocol with Fiat-Shamir support. +//! Sumcheck protocol implementations with Fiat-Shamir support. //! //! ## Quick Start //! -//! For most use cases, you need just two functions and a transcript: +//! Two primary entry points, both operating on evaluation vectors over the +//! boolean hypercube with a half-split (MSB) layout and a fused +//! fold+compute kernel: //! //! ```text //! use efficient_sumcheck::{multilinear_sumcheck, inner_product_sumcheck}; //! use efficient_sumcheck::transcript::{Transcript, SpongefishTranscript, SanityTranscript}; //! ``` //! -//! - [`multilinear_sumcheck()`] — standard multilinear sumcheck: `∑_x p(x)` -//! - [`inner_product_sumcheck()`] — inner product sumcheck: `∑_x f(x)·g(x)` +//! - [`multilinear_sumcheck()`] — `∑_x v(x)` over a multilinear polynomial. +//! - [`inner_product_sumcheck()`] — `∑_x f(x)·g(x)` for two multilinears. //! //! Both accept any [`Transcript`] implementation — either -//! [`SpongefishTranscript`](transcript::SpongefishTranscript) for real Fiat-Shamir, or -//! [`SanityTranscript`](transcript::SanityTranscript) for testing with random challenges. +//! [`SpongefishTranscript`](transcript::SpongefishTranscript) for real +//! Fiat-Shamir, or [`SanityTranscript`](transcript::SanityTranscript) for +//! testing with seeded random challenges. //! -//! ## Advanced Usage +//! ## Layout note //! -//! For custom prover implementations, streaming evaluation access, -//! or specialized reduction strategies, the internal modules expose the full -//! prover machinery: [`multilinear`], [`multilinear_product`], [`prover`], [`streams`]. +//! The half-split (MSB) layout folds the top-most remaining variable each +//! round — round 0 splits `v[0..L/2]` vs `v[L/2..L]`. This differs from the +//! pair-split (LSB) layout used in earlier versions of this crate; callers +//! migrating from the old interface must reorder inputs by bit-reversal. // ─── Primary API ───────────────────────────────────────────────────────────── @@ -31,20 +35,15 @@ pub mod transcript; mod inner_product_sumcheck; mod multilinear_sumcheck; -mod whir_sumcheck; pub use inner_product_sumcheck::{ - accumulate_sparse_evaluations, batched_constraint_poly, inner_product_sumcheck, - inner_product_sumcheck_partial_with_hook, inner_product_sumcheck_with_hook, ProductSumcheck, + inner_product_sumcheck, inner_product_sumcheck_partial_with_hook, + inner_product_sumcheck_verify, inner_product_sumcheck_verify_with_hook, + inner_product_sumcheck_with_hook, ProductSumcheck, }; pub use multilinear_sumcheck::{ - multilinear_sumcheck, multilinear_sumcheck_partial_with_hook, multilinear_sumcheck_with_hook, - Sumcheck, -}; -pub use whir_sumcheck::{ - whir_sumcheck, whir_sumcheck_fused, whir_sumcheck_fused_partial_with_hook, - whir_sumcheck_fused_with_hook, whir_sumcheck_partial_with_hook, whir_sumcheck_verify, - whir_sumcheck_verify_with_hook, whir_sumcheck_with_hook, + multilinear_sumcheck, multilinear_sumcheck_partial_with_hook, multilinear_sumcheck_verify, + multilinear_sumcheck_verify_with_hook, multilinear_sumcheck_with_hook, Sumcheck, }; // ─── Internal / Advanced ───────────────────────────────────────────────────── diff --git a/src/multilinear_sumcheck.rs b/src/multilinear_sumcheck.rs index e2f0ffb5..db70156f 100644 --- a/src/multilinear_sumcheck.rs +++ b/src/multilinear_sumcheck.rs @@ -1,644 +1,366 @@ -//! Standard multilinear sumcheck protocol. +//! Standard multilinear sumcheck: `∑_x v(x)`. //! -//! Given evaluations `[p(0..0), p(0..1), ..., p(1..1)]` of a multilinear polynomial `p` -//! on the boolean hypercube `{0,1}^n`, the [`multilinear_sumcheck`] function executes `n` -//! rounds of the sumcheck protocol and returns the resulting [`Sumcheck`] transcript. +//! Half-split (MSB) layout with a fused fold+compute kernel. Round `i` +//! folds the top-most remaining variable — the round-0 split is +//! `v[0..L/2]` vs `v[L/2..L]`, *not* the adjacent pairs `(v[2k], v[2k+1])` +//! of a pair-split (LSB) layout. Callers whose upstream indexing assumed +//! pair-split semantics must reorder their inputs with a bit-reversal. //! -//! The function is parameterized by two field types: -//! - `BF` (base field): the field the evaluations live in -//! - `EF` (extension field): the field challenges are sampled from +//! Wire format per round: `(s0, s1)` where +//! - `s0 = q(0) = Σ v_lo` +//! - `s1 = q(1) = Σ v_hi` +//! The round polynomial is degree 1: `q(X) = s0 + X·(s1 − s0)`. Consistency +//! invariant: `s0 + s1 == current_claim`. //! -//! When no extension field is needed, set `EF = BF`. -//! -//! # Example -//! -//! ```text -//! use efficient_sumcheck::{multilinear_sumcheck, Sumcheck}; -//! use efficient_sumcheck::transcript::SanityTranscript; -//! -//! // No extension field (BF = EF): -//! let mut evals = vec![F::from(1), F::from(2), F::from(3), F::from(4)]; -//! let mut transcript = SanityTranscript::new(&mut rng); -//! let result: Sumcheck = multilinear_sumcheck(&mut evals, &mut transcript); -//! ``` +//! The fused kernel rolls the round-`i` fold into the round-`(i+1)` compute: +//! 4 reads + 2 writes per quadruple (fused) vs. 6 reads + 2 writes +//! (fold + compute separately) — a ~33% memory-traffic reduction. use ark_ff::Field; +#[cfg(feature = "parallel")] +use rayon::join; +#[cfg(feature = "parallel")] +use rayon::prelude::*; -use crate::multilinear::reductions::pairwise; use crate::transcript::Transcript; pub use crate::multilinear::Sumcheck; -/// Run the standard multilinear sumcheck protocol over an evaluation vector, -/// using a generic [`Transcript`] for Fiat-Shamir (or sanity/random challenges). -/// -/// `BF` is the base field of the evaluations, `EF` is the extension field for challenges. -/// When `BF = EF`, this is the standard single-field sumcheck. -/// When `BF ≠ EF`, round 0 evaluates in `BF` and lifts to `EF`, then subsequent -/// rounds work entirely in `EF`. -/// -/// Each round: -/// 1. Computes the round polynomial evaluations `(s(0), s(1))` via pairwise reduction. -/// 2. Writes them to the transcript (2 field elements). -/// 3. Reads the verifier's challenge from the transcript (1 field element). -/// 4. Reduces the evaluation vector by folding with the challenge. -pub fn multilinear_sumcheck>( - evaluations: &mut [BF], - transcript: &mut impl Transcript, -) -> Sumcheck { - multilinear_sumcheck_with_hook(evaluations, transcript, |_, _| {}) -} +// ─── Workload threshold ───────────────────────────────────────────────────── -/// Like [`multilinear_sumcheck`], but calls `hook(round_idx, transcript)` -/// each round *after* the prover message is written and *before* the verifier -/// challenge is read. -/// -/// Useful for injecting per-round proof-of-work grinding, logging, or other -/// extensions to the transcript that must appear at a specific point in the -/// Fiat-Shamir schedule. The hook is invoked for every round (0..num_rounds), -/// including the round-0 base-field message on cross-field sumchecks. -/// Partial multilinear sumcheck: runs `max_rounds` rounds and stops. -/// -/// Folds `evaluations` in place (truncating to length `original / 2^max_rounds`) -/// so the caller can feed it into a subsequent partial sumcheck call. See -/// [`crate::inner_product_sumcheck_partial_with_hook`] for the motivating -/// shape (recursive IOPs like whir). -/// -/// Requires `BF = EF = F` (no cross-field lift). Uses -/// [`crate::simd_ops::pairwise_sum`] and [`crate::simd_ops::fold`] per round. -/// -/// `Sumcheck::final_evaluation` is populated only if `max_rounds` reduces -/// `evaluations` to length 1; otherwise `F::ZERO`. -pub fn multilinear_sumcheck_partial_with_hook( - evaluations: &mut Vec, - transcript: &mut T, - max_rounds: usize, - mut hook: H, -) -> Sumcheck -where - F: Field, - T: Transcript, - H: FnMut(usize, &mut T), -{ - assert!( - evaluations.len().count_ones() == 1, - "length must be a power of 2" - ); - let total_rounds = evaluations.len().trailing_zeros() as usize; - assert!( - max_rounds <= total_rounds, - "max_rounds ({max_rounds}) exceeds available rounds ({total_rounds})" - ); - - let mut prover_messages: Vec<(F, F)> = Vec::with_capacity(max_rounds); - let mut verifier_messages: Vec = Vec::with_capacity(max_rounds); - - for round in 0..max_rounds { - let msg = crate::simd_ops::pairwise_sum(evaluations); - - prover_messages.push(msg); - transcript.write(msg.0); - transcript.write(msg.1); - - hook(round, transcript); +const fn workload_size() -> usize { + #[cfg(all(target_arch = "aarch64", target_os = "macos"))] + const CACHE_SIZE: usize = 1 << 17; + #[cfg(all( + target_arch = "aarch64", + any(target_os = "ios", target_os = "android", target_os = "linux") + ))] + const CACHE_SIZE: usize = 1 << 16; + #[cfg(target_arch = "x86_64")] + const CACHE_SIZE: usize = 1 << 15; + #[cfg(not(any( + all(target_arch = "aarch64", target_os = "macos"), + all( + target_arch = "aarch64", + any(target_os = "ios", target_os = "android", target_os = "linux") + ), + target_arch = "x86_64" + )))] + const CACHE_SIZE: usize = 1 << 15; + + CACHE_SIZE / core::mem::size_of::() +} - let chg = transcript.read(); - verifier_messages.push(chg); +// ─── Scalar helpers ───────────────────────────────────────────────────────── - crate::simd_ops::fold(evaluations, chg); +fn sum_slice(v: &[F]) -> F { + #[cfg(feature = "parallel")] + if v.len() > workload_size::() { + return v.par_iter().copied().sum(); } + v.iter().copied().sum() +} - let final_evaluation = if evaluations.len() == 1 { - evaluations[0] - } else { - F::ZERO - }; - - Sumcheck { - prover_messages, - verifier_messages, - final_evaluation, +fn scalar_mul(v: &mut [F], w: F) { + for x in v.iter_mut() { + *x *= w; } } -pub fn multilinear_sumcheck_with_hook( - evaluations: &mut [BF], - transcript: &mut T, - mut hook: H, -) -> Sumcheck -where - BF: Field, - EF: Field + From, - T: Transcript, - H: FnMut(usize, &mut T), -{ - // checks - assert!( - evaluations.len().count_ones() == 1, - "length must be a power of 2" - ); - assert!(evaluations.len() >= 2, "need at least 1 variable"); +// ─── Core algebra ─────────────────────────────────────────────────────────── - // ── SIMD auto-dispatch ── - // When BF == EF and BF has a SIMD backend, transparently route to the - // fast SIMD path. The TypeId checks evaluate to compile-time constants - // in monomorphized code, so LLVM eliminates the dead branch — zero cost. - #[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") - ))] - { - // Base field dispatch (BF == EF == Goldilocks base) - if let Some(result) = crate::simd_sumcheck::dispatch::try_simd_dispatch::( - evaluations, - transcript, - &mut hook, - ) { - return result; +/// `(s0, s1)` of the degree-1 round polynomial `q(X) = s0 + X·(s1 − s0)`. +/// +/// `values` is implicitly zero-extended to the next power of two. +/// - `s0 = Σ v[0..L/2]` (low half, possibly with tail contributions) +/// - `s1 = Σ v[L/2..L]` +pub fn compute_sumcheck_polynomial(values: &[F]) -> (F, F) { + fn recurse(lo: &[F], hi: &[F]) -> (F, F) { + debug_assert_eq!(lo.len(), hi.len()); + + #[cfg(feature = "parallel")] + if lo.len() * 2 > workload_size::() { + let mid = lo.len() / 2; + let (lol, lor) = lo.split_at(mid); + let (hil, hir) = hi.split_at(mid); + let (l, r) = join(|| recurse(lol, hil), || recurse(lor, hir)); + return (l.0 + r.0, l.1 + r.1); } - // Extension field dispatch (BF == EF == Goldilocks ext2/ext3). - // On AVX-512: use full SIMD dispatch (8-wide mul makes reduce fast). - // On NEON: skip — the single-threaded ext reduce is slower than the - // generic path with SIMD evaluate + rayon-parallel arkworks reduce. - #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] - if let Some(result) = - crate::simd_sumcheck::dispatch::try_simd_ext_dispatch::( - evaluations, - transcript, - &mut hook, - ) - { - return result; + let mut s0 = F::ZERO; + let mut s1 = F::ZERO; + for (&l, &h) in lo.iter().zip(hi) { + s0 += l; + s1 += h; } + (s0, s1) } - let num_rounds = evaluations.len().trailing_zeros() as usize; - let mut prover_messages: Vec<(EF, EF)> = vec![]; - let mut verifier_messages: Vec = vec![]; - let mut final_evaluation = EF::ZERO; - - // ── Round 0: evaluate in BF, lift to EF, cross-field reduce ── - if num_rounds > 0 { - let msg_bf = crate::simd_ops::pairwise_sum(evaluations); - let msg = (EF::from(msg_bf.0), EF::from(msg_bf.1)); - - prover_messages.push(msg); - transcript.write(msg.0); - transcript.write(msg.1); - - hook(0, transcript); - - let chg = transcript.read(); - verifier_messages.push(chg); - - // Cross-field reduce: BF evaluations + EF challenge → Vec - let mut ef_evals = pairwise::cross_field_reduce(evaluations, chg); - - // Remaining rounds work in EF. - // Use fused reduce+evaluate when available: reduces data AND computes - // next round's (s0, s1) in a single pass, eliminating one full read. - let mut pending_eval: Option<(EF, EF)> = None; - - for round in 1..num_rounds { - // Get this round's evaluate — either from the previous fused pass - // or by computing it now. - let msg = if let Some(cached) = pending_eval.take() { - cached - } else { - #[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") - ))] - let result = crate::simd_sumcheck::dispatch::try_simd_ext_evaluate(&ef_evals) - .unwrap_or_else(|| pairwise::evaluate(&ef_evals)); - - #[cfg(not(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") - )))] - let result = pairwise::evaluate(&ef_evals); - - result - }; - - prover_messages.push(msg); - transcript.write(msg.0); - transcript.write(msg.1); - - hook(round, transcript); - - let chg = transcript.read(); - verifier_messages.push(chg); - - // SIMD extension reduce strategies (best picked by size): - // 1. Small (≤ 2^17): fused reduce+evaluate in single pass - // 2. Any size: SIMD ext reduce (uses ext2/ext3 Karatsuba) - // 3. Fallback: generic arkworks Field reduce - #[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") - ))] - { - // Try fused for small inputs first - if ef_evals.len() <= (1 << 17) { - if let Some(next_msg) = - crate::simd_sumcheck::dispatch::try_simd_ext_fused_reduce_evaluate( - &mut ef_evals, - chg, - ) - { - pending_eval = Some(next_msg); - continue; - } - } - // Try SIMD ext reduce — on AVX-512 always, on NEON only for small inputs - // (NEON ext reduce is scalar, so rayon-parallel generic reduce is faster at scale) - #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] - if crate::simd_sumcheck::dispatch::try_simd_ext_reduce(&mut ef_evals, chg) { - continue; - } - } - pairwise::reduce_evaluations(&mut ef_evals, chg); - } - - // After all rounds, ef_evals is length 1: the polynomial evaluated at - // the verifier challenge point. - debug_assert_eq!(ef_evals.len(), 1); - final_evaluation = ef_evals[0]; + if values.is_empty() { + return (F::ZERO, F::ZERO); } - - Sumcheck { - verifier_messages, - prover_messages, - final_evaluation, + if values.len() == 1 { + // Implicit zero pad on the high half: (v[0], 0). + return (values[0], F::ZERO); } -} - -#[cfg(test)] -mod tests { - use super::*; - use ark_ff::{AdditiveGroup, UniformRand}; - use ark_std::test_rng; - - use crate::tests::F64; - - const NUM_VARS: usize = 4; // vectors of length 2^4 = 16 - #[test] - fn test_multilinear_sumcheck_sanity() { - use crate::transcript::SanityTranscript; + let half = values.len().next_power_of_two() >> 1; + let (lo, hi) = values.split_at(half); + debug_assert!(lo.len() >= hi.len()); + let (lo, lo_tail) = lo.split_at(hi.len()); + let (s0, s1) = recurse(lo, hi); - let mut rng = test_rng(); - - let n = 1 << NUM_VARS; - let mut evaluations: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - - let mut transcript = SanityTranscript::new(&mut rng); - let result = multilinear_sumcheck::(&mut evaluations, &mut transcript); + // Tail (hi implicitly zero): contributes to s0 only. + let tail = sum_slice(lo_tail); + (s0 + tail, s1) +} - assert_eq!(result.prover_messages.len(), NUM_VARS); - assert_eq!(result.verifier_messages.len(), NUM_VARS); +/// In-place half-split fold: `new[k] = v[k] + (v[k+L/2] − v[k]) · weight`. +/// +/// Implicit zero padding on the high half collapses the tail to `v[k] * (1 − w)`. +pub fn fold(values: &mut Vec, weight: F) { + fn recurse_both(low: &mut [F], high: &[F], weight: F) { + #[cfg(feature = "parallel")] + if low.len() > workload_size::() { + let split = low.len() / 2; + let (ll, lr) = low.split_at_mut(split); + let (hl, hr) = high.split_at(split); + join( + || recurse_both(ll, hl, weight), + || recurse_both(lr, hr, weight), + ); + return; + } + for (low, high) in low.iter_mut().zip(high) { + *low += (*high - *low) * weight; + } } - #[test] - fn test_multilinear_sumcheck_spongefish() { - use crate::transcript::SpongefishTranscript; + if values.len() <= 1 { + return; + } - let mut rng = test_rng(); + let half = values.len().next_power_of_two() >> 1; + let (low, high) = values.split_at_mut(half); + debug_assert!(low.len() >= high.len()); + let (low, tail) = low.split_at_mut(high.len()); + recurse_both(low, high, weight); - let n = 1 << NUM_VARS; - let mut evaluations: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); + scalar_mul(tail, F::ONE - weight); - let domsep = spongefish::domain_separator!("test-multilinear-sumcheck"; module_path!()) - .instance(b"test"); + values.truncate(half); + values.shrink_to_fit(); +} - let prover_state = domsep.std_prover(); - let mut transcript = SpongefishTranscript::new(prover_state); - let result = multilinear_sumcheck::(&mut evaluations, &mut transcript); +/// Two-pass fold-then-compute. Reference only. +pub fn fold_and_compute_polynomial(values: &mut Vec, weight: F) -> (F, F) { + fold(values, weight); + compute_sumcheck_polynomial(values) +} - assert_eq!(result.prover_messages.len(), NUM_VARS); - assert_eq!(result.verifier_messages.len(), NUM_VARS); +/// Fused fold + compute: folds `values` by `weight` *and* returns the +/// next-round `(s0, s1)` in one sweep over the quadruple +/// `(v[k], v[k+L/4], v[k+L/2], v[k+3L/4])`. +pub fn fused_fold_and_compute_polynomial(values: &mut Vec, weight: F) -> (F, F) { + let l = values.len(); + if !l.is_power_of_two() || l < 4 { + return fold_and_compute_polynomial(values, weight); } - #[test] - fn test_simd_parity_with_generic() { - use crate::transcript::SanityTranscript; - - let num_vars = 16; - let n = 1 << num_vars; - - let mut rng = test_rng(); - let evaluations: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - - // Run generic sumcheck - let mut generic_evals = evaluations.clone(); - let mut rng1 = test_rng(); - let mut transcript1 = SanityTranscript::new(&mut rng1); - let generic_result = multilinear_sumcheck::(&mut generic_evals, &mut transcript1); - - // Run SIMD sumcheck (auto-dispatched via multilinear_sumcheck) - let mut simd_evals = evaluations.clone(); - let mut rng2 = test_rng(); - let mut transcript2 = SanityTranscript::new(&mut rng2); - let simd_result = multilinear_sumcheck::(&mut simd_evals, &mut transcript2); - - // Prover messages must match exactly - assert_eq!( - generic_result.prover_messages.len(), - simd_result.prover_messages.len() - ); - for (i, (g, s)) in generic_result - .prover_messages - .iter() - .zip(simd_result.prover_messages.iter()) - .enumerate() - { - assert_eq!(g.0, s.0, "s0 mismatch at round {}", i); - assert_eq!(g.1, s.1, "s1 mismatch at round {}", i); + fn kernel( + v0: &mut [F], + v1: &mut [F], + v2: &[F], + v3: &[F], + weight: F, + ) -> (F, F) { + debug_assert_eq!(v0.len(), v1.len()); + debug_assert_eq!(v0.len(), v2.len()); + debug_assert_eq!(v0.len(), v3.len()); + + #[cfg(feature = "parallel")] + if v0.len() * 2 > workload_size::() { + let mid = v0.len() / 2; + let (v0l, v0r) = v0.split_at_mut(mid); + let (v1l, v1r) = v1.split_at_mut(mid); + let (v2l, v2r) = v2.split_at(mid); + let (v3l, v3r) = v3.split_at(mid); + let (left, right) = join( + || kernel(v0l, v1l, v2l, v3l, weight), + || kernel(v0r, v1r, v2r, v3r, weight), + ); + return (left.0 + right.0, left.1 + right.1); } - // Verifier challenges must match exactly - assert_eq!( - generic_result.verifier_messages, - simd_result.verifier_messages - ); - } - - #[test] - #[should_panic(expected = "power of 2")] - fn test_non_power_of_2_panics() { - use crate::transcript::SanityTranscript; - let mut rng = test_rng(); - let mut evals = vec![F64::from(1u64); 7]; // not a power of 2 - let mut transcript = SanityTranscript::new(&mut rng); - multilinear_sumcheck::(&mut evals, &mut transcript); - } + let mut s0 = F::ZERO; + let mut s1 = F::ZERO; + for i in 0..v0.len() { + let x0 = v0[i]; + let x1 = v1[i]; + let x2 = v2[i]; + let x3 = v3[i]; - #[test] - fn test_minimal_input() { - // n = 2 (1 variable, 1 round) - use crate::transcript::SanityTranscript; - let mut rng = test_rng(); - let mut evals = vec![F64::from(3u64), F64::from(7u64)]; - let mut transcript = SanityTranscript::new(&mut rng); - let result = multilinear_sumcheck::(&mut evals, &mut transcript); - assert_eq!(result.prover_messages.len(), 1); - assert_eq!(result.prover_messages[0].0, F64::from(3u64)); // s(0) - assert_eq!(result.prover_messages[0].1, F64::from(7u64)); // s(1) - } + let n_lo = x0 + (x2 - x0) * weight; + let n_hi = x1 + (x3 - x1) * weight; - #[test] - fn test_extension_field_sumcheck() { - // Test multilinear sumcheck with BF = EF = F64Ext2 (degree-2 extension). - // This exercises the SIMD extension evaluate path in rounds 1+. - use crate::tests::F64Ext2; - use crate::transcript::SanityTranscript; + v0[i] = n_lo; + v1[i] = n_hi; - let mut rng = test_rng(); - let n = 1 << 8; - let mut evals: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); - - // Compute expected sum before sumcheck (which may modify evals in-place) - let claimed_sum: F64Ext2 = evals.iter().copied().sum(); - - // Run the sumcheck (SIMD extension dispatch for Goldilocks Ext2) - let mut transcript = SanityTranscript::new(&mut rng); - let result = multilinear_sumcheck::(&mut evals, &mut transcript); - - assert_eq!(result.prover_messages.len(), 8); - assert_eq!(result.verifier_messages.len(), 8); - - // Verify round 0: s(0) + s(1) == sum of all evaluations - let (s0, s1) = result.prover_messages[0]; - assert_eq!(s0 + s1, claimed_sum, "round 0 sum mismatch"); + s0 += n_lo; + s1 += n_hi; + } + (s0, s1) } - /// Exercises the rayon-parallel SoA reduce path (n > 2^17 threshold in dispatch). - #[test] - fn test_ext2_sumcheck_parallel_path_matches_generic() { - use crate::multilinear::reductions::pairwise; - use crate::tests::F64Ext2; - use crate::transcript::SanityTranscript; - - let mut rng = test_rng(); - let n = 1 << 18; // above EXT_PARALLEL_THRESHOLD - let evals: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); - - // Generic reference: run the pairwise evaluate+reduce loop directly. - let mut rng1 = test_rng(); - let mut t1 = SanityTranscript::new(&mut rng1); - let num_rounds = (n as u64).trailing_zeros() as usize; - let mut ef = evals.clone(); - let mut expected_msgs = Vec::with_capacity(num_rounds); - for _ in 0..num_rounds { - let (e, o) = pairwise::evaluate(&ef); - expected_msgs.push((e, o)); - t1.write(e); - t1.write(o); - let chg: F64Ext2 = t1.read(); - pairwise::reduce_evaluations(&mut ef, chg); - } + let quarter = l / 4; + let half = l / 2; - // SIMD path (will hit the parallel ext2 SoA kernel). - let mut rng2 = test_rng(); - let mut t2 = SanityTranscript::new(&mut rng2); - let mut simd_evals = evals; - let simd_result = multilinear_sumcheck::(&mut simd_evals, &mut t2); + let (first, second) = values.split_at_mut(half); + let (v0, v1) = first.split_at_mut(quarter); + let (v2, v3) = second.split_at(quarter); - assert_eq!(simd_result.prover_messages.len(), expected_msgs.len()); - for (i, (exp, got)) in expected_msgs.iter().zip(simd_result.prover_messages.iter()).enumerate() { - assert_eq!(exp.0, got.0, "s0 mismatch at round {}", i); - assert_eq!(exp.1, got.1, "s1 mismatch at round {}", i); - } - } + let result = kernel(v0, v1, v2, v3, weight); - /// Independent fold: evaluate the multilinear at the verifier challenges - /// and compare against `Sumcheck::final_evaluation` populated by the entry point. - fn fold_multilinear(evals: &[F], challenges: &[F]) -> F { - let mut current = evals.to_vec(); - for &chg in challenges { - let mut next = Vec::with_capacity(current.len() / 2); - for pair in current.chunks(2) { - next.push(pair[0] + chg * (pair[1] - pair[0])); - } - current = next; - } - debug_assert_eq!(current.len(), 1); - current[0] - } - - #[test] - fn test_final_evaluation_matches_independent_fold_base() { - use crate::transcript::SanityTranscript; + values.truncate(half); + result +} - let num_vars = 8; - let n = 1 << num_vars; - let mut rng = test_rng(); - let evals_orig: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); +// ─── Prover ───────────────────────────────────────────────────────────────── - let mut evals = evals_orig.clone(); - let mut transcript = SanityTranscript::new(&mut rng); - let result = multilinear_sumcheck::(&mut evals, &mut transcript); +/// Runs `num_rounds` rounds on `values`, folding it in place. +/// +/// Transcript per round: writes `s0` then `s1`, invokes +/// `hook(round, transcript)`, then reads the verifier challenge. +/// +/// On return, if `num_rounds == log2(next_pow2(len))` then `values.len() == 1` +/// and `final_evaluation = values[0]`; otherwise `F::ZERO`. +pub fn multilinear_sumcheck_partial_with_hook( + values: &mut Vec, + transcript: &mut T, + num_rounds: usize, + mut hook: H, +) -> Sumcheck +where + F: Field, + T: Transcript, + H: FnMut(usize, &mut T), +{ + assert!( + num_rounds == 0 || values.len().next_power_of_two() >= 1 << num_rounds, + "num_rounds ({num_rounds}) exceeds log2 of next-pow2 of len ({})", + values.len(), + ); - let expected = fold_multilinear(&evals_orig, &result.verifier_messages); - assert_eq!(result.final_evaluation, expected, "ML final_evaluation mismatch"); - } + let mut prover_messages: Vec<(F, F)> = Vec::with_capacity(num_rounds); + let mut verifier_messages: Vec = Vec::with_capacity(num_rounds); + let mut folding_randomness: Option = None; - #[test] - fn test_final_evaluation_matches_independent_fold_ext2() { - use crate::tests::F64Ext2; - use crate::transcript::SanityTranscript; + for round in 0..num_rounds { + let (s0, s1) = if let Some(w) = folding_randomness { + fused_fold_and_compute_polynomial(values, w) + } else { + compute_sumcheck_polynomial(values) + }; - let num_vars = 8; - let n = 1 << num_vars; - let mut rng = test_rng(); - let evals_orig: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); + prover_messages.push((s0, s1)); + transcript.write(s0); + transcript.write(s1); - let mut evals = evals_orig.clone(); - let mut transcript = SanityTranscript::new(&mut rng); - let result = multilinear_sumcheck::(&mut evals, &mut transcript); + hook(round, transcript); - let expected = fold_multilinear(&evals_orig, &result.verifier_messages); - assert_eq!(result.final_evaluation, expected, "ext2 ML final_evaluation mismatch"); + let r = transcript.read(); + verifier_messages.push(r); + folding_randomness = Some(r); } - #[test] - fn test_partial_split_matches_full() { - use crate::transcript::SanityTranscript; - - let num_vars = 8; - let n = 1 << num_vars; - let split_at = 3; - let mut rng = test_rng(); - let evals_orig: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - - let mut rng1 = test_rng(); - let mut evals_full = evals_orig.clone(); - let mut t_full = SanityTranscript::new(&mut rng1); - let full = multilinear_sumcheck::(&mut evals_full, &mut t_full); - - let mut rng2 = test_rng(); - let mut evals = evals_orig.clone(); - let mut t_split = SanityTranscript::new(&mut rng2); - let first = multilinear_sumcheck_partial_with_hook( - &mut evals, - &mut t_split, - split_at, - |_, _| {}, - ); - let second = multilinear_sumcheck_partial_with_hook( - &mut evals, - &mut t_split, - num_vars - split_at, - |_, _| {}, - ); - - let mut split_prover_msgs = first.prover_messages.clone(); - split_prover_msgs.extend(second.prover_messages.iter().copied()); - let mut split_verifier_msgs = first.verifier_messages.clone(); - split_verifier_msgs.extend(second.verifier_messages.iter().copied()); - - assert_eq!(split_prover_msgs, full.prover_messages, "prover msgs"); - assert_eq!(split_verifier_msgs, full.verifier_messages, "verifier msgs"); - assert_eq!(second.final_evaluation, full.final_evaluation, "final"); - assert_eq!(first.final_evaluation, F64::ZERO, "partial final should be zero"); + if let Some(w) = folding_randomness { + fold(values, w); } - #[test] - fn test_with_hook_called_once_per_round() { - use crate::transcript::SanityTranscript; - use std::cell::RefCell; - - let num_vars = 6; - let n = 1 << num_vars; - let mut rng = test_rng(); - let mut evals: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - let mut transcript = SanityTranscript::new(&mut rng); - - let calls = RefCell::new(Vec::::new()); - let result = multilinear_sumcheck_with_hook::( - &mut evals, - &mut transcript, - |round, _t| calls.borrow_mut().push(round), - ); - - assert_eq!(result.prover_messages.len(), num_vars); - let calls = calls.into_inner(); - assert_eq!(calls, (0..num_vars).collect::>(), "hook must be called once per round in order"); + let final_evaluation = if values.len() == 1 { + values[0] + } else { + F::ZERO + }; + + Sumcheck { + prover_messages, + verifier_messages, + final_evaluation, } +} - #[test] - fn test_with_hook_injects_into_transcript() { - // The hook writes an extra field element between the prover message and - // the verifier challenge. Two runs with identical data but different - // hook payloads must produce different verifier challenges from round 0 - // onward — proving the hook's writes actually enter the Fiat-Shamir - // state. - use crate::transcript::SpongefishTranscript; - - let num_vars = 4; - let n = 1 << num_vars; - - let mut rng = test_rng(); - let evals_a: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - - let run = |tag: F64, evals: Vec| { - let mut evals = evals; - let domsep = spongefish::domain_separator!("hook-test"; module_path!()) - .instance(b"test"); - let prover_state = domsep.std_prover(); - let mut transcript = SpongefishTranscript::new(prover_state); - multilinear_sumcheck_with_hook::( - &mut evals, - &mut transcript, - move |_round, t| { - t.write(tag); - }, - ) - }; +/// Full sumcheck (`log2(next_pow2(len))` rounds) with a per-round hook. +pub fn multilinear_sumcheck_with_hook( + values: &mut Vec, + transcript: &mut T, + hook: H, +) -> Sumcheck +where + F: Field, + T: Transcript, + H: FnMut(usize, &mut T), +{ + let num_rounds = if values.is_empty() { + 0 + } else { + values.len().next_power_of_two().trailing_zeros() as usize + }; + multilinear_sumcheck_partial_with_hook(values, transcript, num_rounds, hook) +} - let result_a = run(F64::from(1u64), evals_a.clone()); - let result_b = run(F64::from(2u64), evals_a); +/// Full sumcheck with no per-round hook. +pub fn multilinear_sumcheck(values: &mut Vec, transcript: &mut T) -> Sumcheck +where + F: Field, + T: Transcript, +{ + multilinear_sumcheck_with_hook(values, transcript, |_, _| {}) +} - assert_ne!( - result_a.verifier_messages[0], - result_b.verifier_messages[0], - "hook writes must affect Fiat-Shamir state" - ); - } +// ─── Verifier ─────────────────────────────────────────────────────────────── - #[test] - fn test_ext3_sumcheck_parallel_path_matches_generic() { - use crate::multilinear::reductions::pairwise; - use crate::tests::F64Ext3; - use crate::transcript::SanityTranscript; - - let mut rng = test_rng(); - let n = 1 << 18; - let evals: Vec = (0..n).map(|_| F64Ext3::rand(&mut rng)).collect(); - - let mut rng1 = test_rng(); - let mut t1 = SanityTranscript::new(&mut rng1); - let num_rounds = (n as u64).trailing_zeros() as usize; - let mut ef = evals.clone(); - let mut expected_msgs = Vec::with_capacity(num_rounds); - for _ in 0..num_rounds { - let (e, o) = pairwise::evaluate(&ef); - expected_msgs.push((e, o)); - t1.write(e); - t1.write(o); - let chg: F64Ext3 = t1.read(); - pairwise::reduce_evaluations(&mut ef, chg); - } +/// Verifier side. Reads `(s0, s1)` per round, checks `s0 + s1 == *sum`, +/// invokes `hook(round, transcript)`, reads the challenge, and updates +/// `*sum = s0 + r·(s1 − s0)`. Returns the sampled challenges. +/// +/// Panics if the consistency check fails. +pub fn multilinear_sumcheck_verify_with_hook( + transcript: &mut T, + sum: &mut F, + num_rounds: usize, + mut hook: H, +) -> Vec +where + F: Field, + T: Transcript, + H: FnMut(usize, &mut T), +{ + let mut res = Vec::with_capacity(num_rounds); + for round in 0..num_rounds { + let s0: F = transcript.read(); + let s1: F = transcript.read(); + assert_eq!(s0 + s1, *sum, "sumcheck round {round} consistency"); - let mut rng2 = test_rng(); - let mut t2 = SanityTranscript::new(&mut rng2); - let mut simd_evals = evals; - let simd_result = multilinear_sumcheck::(&mut simd_evals, &mut t2); + hook(round, transcript); - for (i, (exp, got)) in expected_msgs.iter().zip(simd_result.prover_messages.iter()).enumerate() { - assert_eq!(exp.0, got.0, "s0 mismatch at round {}", i); - assert_eq!(exp.1, got.1, "s1 mismatch at round {}", i); - } + let r = transcript.read(); + res.push(r); + *sum = s0 + r * (s1 - s0); } + res } + +/// Convenience wrapper over [`multilinear_sumcheck_verify_with_hook`] with no hook. +pub fn multilinear_sumcheck_verify( + transcript: &mut T, + sum: &mut F, + num_rounds: usize, +) -> Vec +where + F: Field, + T: Transcript, +{ + multilinear_sumcheck_verify_with_hook(transcript, sum, num_rounds, |_, _| {}) +} + +// Tests live in `tests/multilinear_sumcheck.rs` (integration target). diff --git a/src/streams/memory/core.rs b/src/streams/memory/core.rs index 93c1c5a3..38a0c816 100644 --- a/src/streams/memory/core.rs +++ b/src/streams/memory/core.rs @@ -23,8 +23,8 @@ pub struct MemoryStream { /// Fast paths for two well-known orders: /// - [`MSBOrder`]: bit-reversal permutation, computed directly via /// `usize::reverse_bits` and scattered in parallel with rayon. This is -/// the hot-path in recursive IOPs like whir that pad + reorder at the -/// entry of each sumcheck call; at 2^24 it was measured at ~46% of total +/// the hot-path in recursive IOPs that pad + reorder at the entry of +/// each sumcheck call; at 2^24 it was measured at ~46% of total /// sumcheck time in a prior profile. /// - [`AscendingOrder`]: identity permutation — just returns `evaluations` /// unchanged. diff --git a/src/whir_sumcheck.rs b/src/whir_sumcheck.rs deleted file mode 100644 index 6a7449c2..00000000 --- a/src/whir_sumcheck.rs +++ /dev/null @@ -1,533 +0,0 @@ -//! WHIR-style quadratic inner-product sumcheck (faithful port). -//! -//! This is a straight port of the sumcheck prover/verifier used in -//! `compsec-epfl/whir` (see `whir/src/protocols/sumcheck.rs` and -//! `whir/src/algebra/sumcheck.rs`). The hot-loop algorithm is preserved -//! byte-for-byte; only the outer transcript interface is adapted to our -//! [`Transcript`](crate::transcript::Transcript) trait. -//! -//! Key differences vs [`crate::inner_product_sumcheck`]: -//! -//! - **Layout**: half-split. `a[0..n/2]` vs `a[n/2..]` is the split for the -//! first variable (WHIR-native / MSB ordering). Callers do *not* need the -//! MSB↔LSB bit-reversal reorder that our pair-split dispatch requires. -//! - **Transcript format**: `(c0, c2)` in difference form per round, with -//! `c0 = q(0)` and `c2 = [x²] q(x)`. The verifier derives `c1` from the -//! sumcheck constraint `q(0) + q(1) = sum`. -//! - **No SIMD dispatch**. Uses rayon `join` with a workload threshold — -//! identical parallelism strategy to WHIR. -//! - **Staggered loop**: the round-`i` fold is deferred into round `i+1` -//! and fused with that round's compute (via [`fold_and_compute_polynomial`]). -//! The final challenge's fold happens once after the loop. -//! -//! Phase 1 of the WHIR-port plan: verify parity when dropped into `whir-effsc`. -//! Phase 2 will fuse `fold` + `compute` into a single pass (WHIR's own TODO), -//! and phase 3 will layer SIMD on top with a size threshold. - -use ark_ff::Field; -#[cfg(feature = "parallel")] -use rayon::join; -#[cfg(feature = "parallel")] -use rayon::prelude::*; - -use crate::transcript::Transcript; - -pub use crate::multilinear_product::ProductSumcheck; - -// ─── Workload threshold ───────────────────────────────────────────────────── - -/// Target single-thread workload size for `T`, mirroring `whir/src/utils.rs`. -/// Ideally a multiple of a cache line and close to L1 size. -const fn workload_size() -> usize { - #[cfg(all(target_arch = "aarch64", target_os = "macos"))] - const CACHE_SIZE: usize = 1 << 17; // 128 KiB Apple Silicon - #[cfg(all( - target_arch = "aarch64", - any(target_os = "ios", target_os = "android", target_os = "linux") - ))] - const CACHE_SIZE: usize = 1 << 16; // 64 KiB mobile/server ARM - #[cfg(target_arch = "x86_64")] - const CACHE_SIZE: usize = 1 << 15; // 32 KiB x86-64 - #[cfg(not(any( - all(target_arch = "aarch64", target_os = "macos"), - all( - target_arch = "aarch64", - any(target_os = "ios", target_os = "android", target_os = "linux") - ), - target_arch = "x86_64" - )))] - const CACHE_SIZE: usize = 1 << 15; - - CACHE_SIZE / core::mem::size_of::() -} - -// ─── Scalar helpers ───────────────────────────────────────────────────────── - -fn dot(a: &[F], b: &[F]) -> F { - debug_assert_eq!(a.len(), b.len()); - #[cfg(feature = "parallel")] - if a.len() > workload_size::() { - return a.par_iter().zip(b).map(|(x, y)| *x * *y).sum(); - } - a.iter().zip(b).map(|(x, y)| *x * *y).sum() -} - -fn scalar_mul(v: &mut [F], w: F) { - for x in v.iter_mut() { - *x *= w; - } -} - -// ─── Core algebra (ported verbatim from whir/src/algebra/sumcheck.rs) ─────── - -/// Computes the constant and quadratic coefficient of the sumcheck polynomial. -/// -/// Vectors `a` and `b` are implicitly zero-extended to the next power of two. -/// Returns `(c0, c2)` in difference form, where `q(x) = c0 + c1·x + c2·x²`. -pub fn compute_sumcheck_polynomial(a: &[F], b: &[F]) -> (F, F) { - fn recurse(a0: &[F], a1: &[F], b0: &[F], b1: &[F]) -> (F, F) { - debug_assert_eq!(a0.len(), b0.len()); - debug_assert_eq!(a1.len(), b1.len()); - debug_assert!(a0.len() == a1.len()); - - #[cfg(feature = "parallel")] - if a0.len() * 4 > workload_size::() { - let mid = a0.len() / 2; - let (a0l, a0r) = a0.split_at(mid); - let (b0l, b0r) = b0.split_at(mid); - let (a1l, a1r) = a1.split_at(mid); - let (b1l, b1r) = b1.split_at(mid); - let (left, right) = join( - || recurse(a0l, a1l, b0l, b1l), - || recurse(a0r, a1r, b0r, b1r), - ); - return (left.0 + right.0, left.1 + right.1); - } - let mut acc0 = F::ZERO; - let mut acc2 = F::ZERO; - for ((&a0, &a1), (&b0, &b1)) in a0.iter().zip(a1).zip(b0.iter().zip(b1)) { - acc0 += a0 * b0; - acc2 += (a1 - a0) * (b1 - b0); - } - (acc0, acc2) - } - - let non_padded = a.len().min(b.len()); - let a = &a[..non_padded]; - let b = &b[..non_padded]; - if a.is_empty() { - return (F::ZERO, F::ZERO); - } - if a.len() == 1 { - return (a[0] * b[0], F::ZERO); - } - - let half = a.len().next_power_of_two() >> 1; - let (a0, a1) = a.split_at(half); - let (b0, b1) = b.split_at(half); - debug_assert!(a0.len() >= a1.len()); - let (a0, a0_tail) = a0.split_at(a1.len()); - let (b0, b0_tail) = b0.split_at(a1.len()); - let (acc0, acc2) = recurse(a0, a1, b0, b1); - - // Tail part where a1, b1 is implicit zero padding. When a1 = b1 = 0, - // both contributions collapse to a0·b0. - let acc = dot(a0_tail, b0_tail); - - (acc0 + acc, acc2 + acc) -} - -/// Folds evaluations by linear interpolation at `weight`, in place. -/// -/// The `values` are implicitly zero-padded to the next power of two. On -/// return, the length is always a power of two (or zero). -pub fn fold(values: &mut Vec, weight: F) { - fn recurse_both(low: &mut [F], high: &[F], weight: F) { - #[cfg(feature = "parallel")] - if low.len() > workload_size::() { - let split = low.len() / 2; - let (ll, lr) = low.split_at_mut(split); - let (hl, hr) = high.split_at(split); - join( - || recurse_both(ll, hl, weight), - || recurse_both(lr, hr, weight), - ); - return; - } - for (low, high) in low.iter_mut().zip(high) { - *low += (*high - *low) * weight; - } - } - - if values.len() <= 1 { - return; - } - - let half = values.len().next_power_of_two() >> 1; - let (low, high) = values.split_at_mut(half); - debug_assert!(low.len() >= high.len()); - let (low, tail) = low.split_at_mut(high.len()); - recurse_both(low, high, weight); - - // Tail where `high` is implicit zero padding: *low *= 1 - weight. - scalar_mul(tail, F::ONE - weight); - - values.truncate(half); - values.shrink_to_fit(); -} - -/// WHIR's two-pass fold-then-compute. Kept verbatim for the faithful port. -pub fn fold_and_compute_polynomial( - a: &mut Vec, - b: &mut Vec, - weight: F, -) -> (F, F) { - fold(a, weight); - fold(b, weight); - compute_sumcheck_polynomial(a, b) -} - -/// Single-pass fused variant. Folds `a` and `b` by `weight` *and* computes the -/// next-round polynomial `(c0, c2)` in one sweep over memory. -/// -/// Layout observation: the fold splits at `L/2` and writes into `[0, L/2)`. -/// The subsequent compute splits the length-`L/2` folded vector at `L/4`. So -/// every quadruple `(a[k], a[k+L/4], a[k+L/2], a[k+3L/4])` is touched exactly -/// once — reading the old values, writing two folded values, and accumulating -/// the `(c0, c2)` contribution of the pair. -/// -/// Memory traffic vs the unfused path: 8 reads + 4 writes per quadruple -/// (fused) instead of 12 reads + 4 writes (fold a + fold b + compute), a ~25% -/// reduction — most of the remaining headroom is from cache locality, since -/// all four strides are active simultaneously instead of in separate passes. -/// -/// Falls back to the unfused path for small or non-pow2 inputs so the tail -/// accounting stays identical to WHIR's. -pub fn fused_fold_and_compute_polynomial( - a: &mut Vec, - b: &mut Vec, - weight: F, -) -> (F, F) { - let l = a.len(); - debug_assert_eq!(l, b.len()); - if !l.is_power_of_two() || l < 4 { - return fold_and_compute_polynomial(a, b, weight); - } - - #[allow(clippy::too_many_arguments)] - fn kernel( - a0: &mut [F], - a1: &mut [F], - a2: &[F], - a3: &[F], - b0: &mut [F], - b1: &mut [F], - b2: &[F], - b3: &[F], - weight: F, - ) -> (F, F) { - debug_assert_eq!(a0.len(), a1.len()); - debug_assert_eq!(a0.len(), a2.len()); - debug_assert_eq!(a0.len(), a3.len()); - debug_assert_eq!(a0.len(), b0.len()); - debug_assert_eq!(a0.len(), b1.len()); - debug_assert_eq!(a0.len(), b2.len()); - debug_assert_eq!(a0.len(), b3.len()); - - #[cfg(feature = "parallel")] - if a0.len() * 4 > workload_size::() { - let mid = a0.len() / 2; - let (a0l, a0r) = a0.split_at_mut(mid); - let (a1l, a1r) = a1.split_at_mut(mid); - let (a2l, a2r) = a2.split_at(mid); - let (a3l, a3r) = a3.split_at(mid); - let (b0l, b0r) = b0.split_at_mut(mid); - let (b1l, b1r) = b1.split_at_mut(mid); - let (b2l, b2r) = b2.split_at(mid); - let (b3l, b3r) = b3.split_at(mid); - let (left, right) = join( - || kernel(a0l, a1l, a2l, a3l, b0l, b1l, b2l, b3l, weight), - || kernel(a0r, a1r, a2r, a3r, b0r, b1r, b2r, b3r, weight), - ); - return (left.0 + right.0, left.1 + right.1); - } - - let mut c0 = F::ZERO; - let mut c2 = F::ZERO; - for i in 0..a0.len() { - let x0 = a0[i]; - let x1 = a1[i]; - let x2 = a2[i]; - let x3 = a3[i]; - let y0 = b0[i]; - let y1 = b1[i]; - let y2 = b2[i]; - let y3 = b3[i]; - - let na_lo = x0 + (x2 - x0) * weight; - let na_hi = x1 + (x3 - x1) * weight; - let nb_lo = y0 + (y2 - y0) * weight; - let nb_hi = y1 + (y3 - y1) * weight; - - a0[i] = na_lo; - a1[i] = na_hi; - b0[i] = nb_lo; - b1[i] = nb_hi; - - c0 += na_lo * nb_lo; - c2 += (na_hi - na_lo) * (nb_hi - nb_lo); - } - (c0, c2) - } - - let quarter = l / 4; - let half = l / 2; - - let (a_first, a_second) = a.split_at_mut(half); - let (a0, a1) = a_first.split_at_mut(quarter); - let (a2, a3) = a_second.split_at(quarter); - let (b_first, b_second) = b.split_at_mut(half); - let (b0, b1) = b_first.split_at_mut(quarter); - let (b2, b3) = b_second.split_at(quarter); - - let result = kernel(a0, a1, a2, a3, b0, b1, b2, b3, weight); - - a.truncate(half); - b.truncate(half); - // Note: unlike `fold`, we skip `shrink_to_fit` — the realloc/memcpy cost - // is paid every round, whereas the capacity is freed once the Vec drops. - result -} - -// ─── Prover ───────────────────────────────────────────────────────────────── - -/// Runs `num_rounds` rounds of WHIR's quadratic sumcheck on `(a, b)`, folding -/// both vectors in place. -/// -/// Transcript format per round: writes `c0` then `c2` (difference form), -/// then invokes `hook(round, transcript)` (for per-round PoW grinding or -/// similar), then reads the verifier challenge. -/// -/// Inputs follow WHIR's half-split layout — `a[0..n/2]` vs `a[n/2..]` is the -/// first-variable split. On return, if `num_rounds` reduces the input to -/// length 1, `final_evaluations = (a[0], b[0])`; otherwise `(F::ZERO, F::ZERO)`. -pub fn whir_sumcheck_partial_with_hook( - a: &mut Vec, - b: &mut Vec, - transcript: &mut T, - num_rounds: usize, - hook: H, -) -> ProductSumcheck -where - F: Field, - T: Transcript, - H: FnMut(usize, &mut T), -{ - whir_sumcheck_partial_inner(a, b, transcript, num_rounds, hook, fold_and_compute_polynomial) -} - -/// Same API as [`whir_sumcheck_partial_with_hook`] but uses the single-pass -/// [`fused_fold_and_compute_polynomial`] kernel. Semantically identical — -/// produces the same transcript bit-for-bit. -pub fn whir_sumcheck_fused_partial_with_hook( - a: &mut Vec, - b: &mut Vec, - transcript: &mut T, - num_rounds: usize, - hook: H, -) -> ProductSumcheck -where - F: Field, - T: Transcript, - H: FnMut(usize, &mut T), -{ - whir_sumcheck_partial_inner( - a, - b, - transcript, - num_rounds, - hook, - fused_fold_and_compute_polynomial, - ) -} - -fn whir_sumcheck_partial_inner( - a: &mut Vec, - b: &mut Vec, - transcript: &mut T, - num_rounds: usize, - mut hook: H, - mut fold_compute: K, -) -> ProductSumcheck -where - F: Field, - T: Transcript, - H: FnMut(usize, &mut T), - K: FnMut(&mut Vec, &mut Vec, F) -> (F, F), -{ - assert_eq!(a.len(), b.len()); - assert!( - num_rounds == 0 || a.len().next_power_of_two() >= 1 << num_rounds, - "num_rounds ({num_rounds}) exceeds log2 of next-pow2 of len ({})", - a.len(), - ); - - let mut prover_messages: Vec<(F, F)> = Vec::with_capacity(num_rounds); - let mut verifier_messages: Vec = Vec::with_capacity(num_rounds); - let mut folding_randomness: Option = None; - - for round in 0..num_rounds { - // Staggered: round-(i-1) fold is fused into round-i compute. - let (c0, c2) = if let Some(w) = folding_randomness { - fold_compute(a, b, w) - } else { - compute_sumcheck_polynomial(a, b) - }; - - prover_messages.push((c0, c2)); - transcript.write(c0); - transcript.write(c2); - - hook(round, transcript); - - let r = transcript.read(); - verifier_messages.push(r); - folding_randomness = Some(r); - } - - if let Some(w) = folding_randomness { - fold(a, w); - fold(b, w); - } - - let final_evaluations = if a.len() == 1 { - (a[0], b[0]) - } else { - (F::ZERO, F::ZERO) - }; - - ProductSumcheck { - prover_messages, - verifier_messages, - final_evaluations, - } -} - -/// Convenience: runs a full sumcheck (`log2(next_pow2(len))` rounds) with a -/// per-round hook. -pub fn whir_sumcheck_with_hook( - a: &mut Vec, - b: &mut Vec, - transcript: &mut T, - hook: H, -) -> ProductSumcheck -where - F: Field, - T: Transcript, - H: FnMut(usize, &mut T), -{ - let num_rounds = if a.is_empty() { - 0 - } else { - a.len().next_power_of_two().trailing_zeros() as usize - }; - whir_sumcheck_partial_with_hook(a, b, transcript, num_rounds, hook) -} - -/// Convenience: runs a full sumcheck with no per-round hook. -pub fn whir_sumcheck( - a: &mut Vec, - b: &mut Vec, - transcript: &mut T, -) -> ProductSumcheck -where - F: Field, - T: Transcript, -{ - whir_sumcheck_with_hook(a, b, transcript, |_, _| {}) -} - -/// Fused variant of [`whir_sumcheck_with_hook`]. -pub fn whir_sumcheck_fused_with_hook( - a: &mut Vec, - b: &mut Vec, - transcript: &mut T, - hook: H, -) -> ProductSumcheck -where - F: Field, - T: Transcript, - H: FnMut(usize, &mut T), -{ - let num_rounds = if a.is_empty() { - 0 - } else { - a.len().next_power_of_two().trailing_zeros() as usize - }; - whir_sumcheck_fused_partial_with_hook(a, b, transcript, num_rounds, hook) -} - -/// Fused variant of [`whir_sumcheck`]. -pub fn whir_sumcheck_fused( - a: &mut Vec, - b: &mut Vec, - transcript: &mut T, -) -> ProductSumcheck -where - F: Field, - T: Transcript, -{ - whir_sumcheck_fused_with_hook(a, b, transcript, |_, _| {}) -} - -// ─── Verifier ─────────────────────────────────────────────────────────────── - -/// Runs the verifier side of [`whir_sumcheck_partial_with_hook`]. Reads -/// `(c0, c2)` per round, derives `c1 = sum - 2·c0 - c2`, calls -/// `hook(round, transcript)` (for per-round PoW verification), reads the -/// challenge, and updates `sum` by Horner evaluation `(c2·r + c1)·r + c0`. -/// -/// Returns the sampled challenges. On return, `*sum` is the claim reduced -/// to the final folded point. -pub fn whir_sumcheck_verify_with_hook( - transcript: &mut T, - sum: &mut F, - num_rounds: usize, - mut hook: H, -) -> Vec -where - F: Field, - T: Transcript, - H: FnMut(usize, &mut T), -{ - let mut res = Vec::with_capacity(num_rounds); - for round in 0..num_rounds { - let c0: F = transcript.read(); - let c2: F = transcript.read(); - let c1 = *sum - c0.double() - c2; - - hook(round, transcript); - - let r = transcript.read(); - res.push(r); - *sum = (c2 * r + c1) * r + c0; - } - res -} - -/// Convenience wrapper over [`whir_sumcheck_verify_with_hook`] with no hook. -pub fn whir_sumcheck_verify( - transcript: &mut T, - sum: &mut F, - num_rounds: usize, -) -> Vec -where - F: Field, - T: Transcript, -{ - whir_sumcheck_verify_with_hook(transcript, sum, num_rounds, |_, _| {}) -} - -// Tests live in `tests/whir_sumcheck.rs` (integration target) because the -// sibling test modules currently fail to compile against the pinned -// spongefish revision, which blocks the whole lib-test target. diff --git a/tests/whir_sumcheck.rs b/tests/inner_product_sumcheck.rs similarity index 56% rename from tests/whir_sumcheck.rs rename to tests/inner_product_sumcheck.rs index 29281bfc..0db0eb85 100644 --- a/tests/whir_sumcheck.rs +++ b/tests/inner_product_sumcheck.rs @@ -1,19 +1,13 @@ -//! Integration tests for the ported WHIR sumcheck. -//! -//! Kept out of the library's inline `#[cfg(test)]` blocks because the -//! sibling test modules (inner_product_sumcheck, multilinear_sumcheck, -//! coefficient_sumcheck) currently fail to compile against the pinned -//! spongefish revision (stale `domain_separator!` syntax), which blocks -//! the whole lib-test target. Integration tests only need the `lib` -//! target to build, so they're unaffected. +//! Integration tests for the MSB fused inner-product sumcheck. use ark_ff::{AdditiveGroup, Field, UniformRand}; use ark_std::rand::{rngs::StdRng, SeedableRng}; use efficient_sumcheck::tests::F64; -use efficient_sumcheck::transcript::SanityTranscript; +use efficient_sumcheck::transcript::{SanityTranscript, Transcript}; use efficient_sumcheck::{ - whir_sumcheck, whir_sumcheck_fused, whir_sumcheck_partial_with_hook, whir_sumcheck_with_hook, + inner_product_sumcheck, inner_product_sumcheck_partial_with_hook, + inner_product_sumcheck_with_hook, ProductSumcheck, }; const SEED: u64 = 0xA110C8ED; @@ -22,13 +16,8 @@ fn rng() -> StdRng { StdRng::seed_from_u64(SEED) } -fn dot_ref(a: &[F], b: &[F]) -> F { - a.iter().zip(b).map(|(x, y)| *x * *y).sum() -} - -/// Evaluate the multilinear extension of `evals` at `point`, following -/// WHIR's half-split / MSB ordering: each round pops the top half of the -/// vector and linearly interpolates against the bottom half. +/// Evaluate the multilinear extension of `evals` at `point` with MSB +/// ordering (pop the top half each round). fn multilinear_extend(evals: &[F], point: &[F]) -> F { assert_eq!(evals.len(), 1 << point.len()); let mut current = evals.to_vec(); @@ -52,16 +41,12 @@ fn test_power_of_two_roundtrip() { let mut r = rng(); let a_orig: Vec = (0..n).map(|_| F64::rand(&mut r)).collect(); let b_orig: Vec = (0..n).map(|_| F64::rand(&mut r)).collect(); - let initial_sum = dot_ref(&a_orig, &b_orig); - // Prover — SanityTranscript ignores writes and reads random challenges - // from a seeded RNG, so a fresh SanityTranscript with the same seed - // reproduces the exact challenge sequence on the verifier side. let mut prover_rng = rng(); let mut a = a_orig.clone(); let mut b = b_orig.clone(); let mut t_prove = SanityTranscript::new(&mut prover_rng); - let result = whir_sumcheck(&mut a, &mut b, &mut t_prove); + let result: ProductSumcheck = inner_product_sumcheck(&mut a, &mut b, &mut t_prove); assert_eq!(a.len(), 1); assert_eq!(b.len(), 1); @@ -69,21 +54,13 @@ fn test_power_of_two_roundtrip() { assert_eq!(result.verifier_messages.len(), num_vars); assert_eq!(result.final_evaluations, (a[0], b[0])); - // SanityTranscript discards writes and draws reads from its RNG, so it - // can't round-trip a real Fiat-Shamir verifier. We check prover-side - // consistency instead: the folded values `(a[0], b[0])` match an - // independent multilinear extension of the originals at the verifier - // challenges produced by the prover run. - let _ = initial_sum; + // Folded values match an independent MLE evaluation at the challenge point. assert_eq!(multilinear_extend(&a_orig, &result.verifier_messages), a[0]); assert_eq!(multilinear_extend(&b_orig, &result.verifier_messages), b[0]); } #[test] fn test_non_power_of_two_partial_runs() { - // We can't cleanly round-trip verify through SanityTranscript, but we - // can confirm the prover runs to completion over non-pow2 inputs with - // the WHIR padding semantics and produces the expected message count. let initial_size = 13_usize; let padded = initial_size.next_power_of_two(); let num_rounds = padded.trailing_zeros() as usize; @@ -97,7 +74,7 @@ fn test_non_power_of_two_partial_runs() { let mut b = b_orig.clone(); let mut t = SanityTranscript::new(&mut prover_rng); let result = - whir_sumcheck_partial_with_hook(&mut a, &mut b, &mut t, num_rounds, |_, _| {}); + inner_product_sumcheck_partial_with_hook(&mut a, &mut b, &mut t, num_rounds, |_, _| {}); assert_eq!(result.prover_messages.len(), num_rounds); assert_eq!(result.verifier_messages.len(), num_rounds); assert_eq!(a.len(), 1); @@ -106,9 +83,6 @@ fn test_non_power_of_two_partial_runs() { #[test] fn test_partial_split_matches_full() { - // partial(k) then partial(n − k) produces the same transcript as one - // full run, and the second partial's `final_evaluations` equals the - // full run's. let num_vars = 8; let n = 1 << num_vars; let split_at = 3; @@ -121,15 +95,20 @@ fn test_partial_split_matches_full() { let mut b_full = b_orig.clone(); let mut full_rng = rng(); let mut t_full = SanityTranscript::new(&mut full_rng); - let full = whir_sumcheck(&mut a_full, &mut b_full, &mut t_full); + let full = inner_product_sumcheck(&mut a_full, &mut b_full, &mut t_full); let mut a = a_orig.clone(); let mut b = b_orig.clone(); let mut split_rng = rng(); let mut t_split = SanityTranscript::new(&mut split_rng); - let first = - whir_sumcheck_partial_with_hook(&mut a, &mut b, &mut t_split, split_at, |_, _| {}); - let second = whir_sumcheck_partial_with_hook( + let first = inner_product_sumcheck_partial_with_hook( + &mut a, + &mut b, + &mut t_split, + split_at, + |_, _| {}, + ); + let second = inner_product_sumcheck_partial_with_hook( &mut a, &mut b, &mut t_split, @@ -162,7 +141,7 @@ fn test_hook_called_once_per_round() { let mut t = SanityTranscript::new(&mut trng); let calls = RefCell::new(Vec::::new()); - let result = whir_sumcheck_with_hook(&mut a, &mut b, &mut t, |round, _| { + let result = inner_product_sumcheck_with_hook(&mut a, &mut b, &mut t, |round, _| { calls.borrow_mut().push(round); }); assert_eq!(result.prover_messages.len(), num_vars); @@ -179,7 +158,7 @@ fn test_zero_rounds_is_identity() { let mut trng = rng(); let mut t = SanityTranscript::new(&mut trng); - let result = whir_sumcheck_partial_with_hook(&mut a, &mut b, &mut t, 0, |_, _| {}); + let result = inner_product_sumcheck_partial_with_hook(&mut a, &mut b, &mut t, 0, |_, _| {}); assert!(result.prover_messages.is_empty()); assert!(result.verifier_messages.is_empty()); assert_eq!(a, a_orig); @@ -188,10 +167,9 @@ fn test_zero_rounds_is_identity() { #[test] fn test_prover_msg_is_difference_form() { - // Round-0 message (c0, c2) must be in difference form: + // Round-0 (c0, c2) in difference form: // c0 = Σ a_lo · b_lo (= q(0)) // c2 = Σ (a_hi − a_lo)·(b_hi − b_lo) (= [x²] q(x)) - // so the verifier's `c1 = sum − 2·c0 − c2` derivation is correct. let n = 16_usize; let mut r = rng(); let a: Vec = (0..n).map(|_| F64::rand(&mut r)).collect(); @@ -202,7 +180,7 @@ fn test_prover_msg_is_difference_form() { let mut trng = rng(); let mut t = SanityTranscript::new(&mut trng); let result = - whir_sumcheck_partial_with_hook(&mut a_mut, &mut b_mut, &mut t, 1, |_, _| {}); + inner_product_sumcheck_partial_with_hook(&mut a_mut, &mut b_mut, &mut t, 1, |_, _| {}); let (c0, c2) = result.prover_messages[0]; let half = n / 2; @@ -219,7 +197,6 @@ fn test_prover_msg_is_difference_form() { #[test] fn test_deterministic_under_same_seed() { - // Two independent runs with the same seed produce identical transcripts. let n = 1 << 5; let mut r = rng(); let a_orig: Vec = (0..n).map(|_| F64::rand(&mut r)).collect(); @@ -230,7 +207,7 @@ fn test_deterministic_under_same_seed() { let mut b = b_orig.clone(); let mut trng = rng(); let mut t = SanityTranscript::new(&mut trng); - whir_sumcheck(&mut a, &mut b, &mut t) + inner_product_sumcheck(&mut a, &mut b, &mut t) }; let r1 = run(); let r2 = run(); @@ -239,64 +216,137 @@ fn test_deterministic_under_same_seed() { assert_eq!(r1.final_evaluations, r2.final_evaluations); } +/// Reference unfused half-split prover. Runs the protocol by folding then +/// computing each round with plain scalar loops. Transcript must match the +/// fused path bit-for-bit. +fn reference_unfused(a_orig: &[F64], b_orig: &[F64]) -> ProductSumcheck { + let mut a = a_orig.to_vec(); + let mut b = b_orig.to_vec(); + let mut trng = rng(); + let mut t = SanityTranscript::new(&mut trng); + let num_rounds = if a.is_empty() { + 0 + } else { + a.len().next_power_of_two().trailing_zeros() as usize + }; + + let mut prover_messages = Vec::with_capacity(num_rounds); + let mut verifier_messages = Vec::with_capacity(num_rounds); + let mut w: Option = None; + + for _ in 0..num_rounds { + if let Some(weight) = w { + fold_in_place(&mut a, weight); + fold_in_place(&mut b, weight); + } + let (c0, c2) = compute_ref(&a, &b); + prover_messages.push((c0, c2)); + t.write(c0); + t.write(c2); + let r: F64 = t.read(); + verifier_messages.push(r); + w = Some(r); + } + if let Some(weight) = w { + fold_in_place(&mut a, weight); + fold_in_place(&mut b, weight); + } + + let final_evaluations = if a.len() == 1 { + (a[0], b[0]) + } else { + (F64::ZERO, F64::ZERO) + }; + ProductSumcheck { + prover_messages, + verifier_messages, + final_evaluations, + } +} + +fn fold_in_place(values: &mut Vec, weight: F) { + if values.len() <= 1 { + return; + } + let half = values.len().next_power_of_two() >> 1; + let (low, high) = values.split_at_mut(half); + let (low, tail) = low.split_at_mut(high.len()); + for (lo, hi) in low.iter_mut().zip(high.iter()) { + *lo += (*hi - *lo) * weight; + } + for x in tail.iter_mut() { + *x *= F::ONE - weight; + } + values.truncate(half); +} + +fn compute_ref(a: &[F], b: &[F]) -> (F, F) { + let non_padded = a.len().min(b.len()); + let a = &a[..non_padded]; + let b = &b[..non_padded]; + if a.is_empty() { + return (F::ZERO, F::ZERO); + } + if a.len() == 1 { + return (a[0] * b[0], F::ZERO); + } + let half = a.len().next_power_of_two() >> 1; + let (a0, a1) = a.split_at(half); + let (b0, b1) = b.split_at(half); + let (a0, a0_tail) = a0.split_at(a1.len()); + let (b0, b0_tail) = b0.split_at(a1.len()); + let mut c0 = F::ZERO; + let mut c2 = F::ZERO; + for ((&x0, &x1), (&y0, &y1)) in a0.iter().zip(a1).zip(b0.iter().zip(b1)) { + c0 += x0 * y0; + c2 += (x1 - x0) * (y1 - y0); + } + let tail: F = a0_tail.iter().zip(b0_tail).map(|(x, y)| *x * *y).sum(); + (c0 + tail, c2 + tail) +} + #[test] -fn test_fused_matches_faithful_pow2() { - // The fused kernel must produce bit-identical transcripts and folds to - // the faithful (unfused) path for pow2 inputs — otherwise the fusion - // arithmetic has drifted. +fn test_fused_matches_unfused_reference_pow2() { for &num_vars in &[1_usize, 2, 4, 7, 10] { let n = 1 << num_vars; let mut r = rng(); let a_orig: Vec = (0..n).map(|_| F64::rand(&mut r)).collect(); let b_orig: Vec = (0..n).map(|_| F64::rand(&mut r)).collect(); - let mut a1 = a_orig.clone(); - let mut b1 = b_orig.clone(); - let mut rng1 = rng(); - let mut t1 = SanityTranscript::new(&mut rng1); - let faithful = whir_sumcheck(&mut a1, &mut b1, &mut t1); - - let mut a2 = a_orig.clone(); - let mut b2 = b_orig.clone(); - let mut rng2 = rng(); - let mut t2 = SanityTranscript::new(&mut rng2); - let fused = whir_sumcheck_fused(&mut a2, &mut b2, &mut t2); - - assert_eq!(faithful.prover_messages, fused.prover_messages, "n={n}"); - assert_eq!(faithful.verifier_messages, fused.verifier_messages, "n={n}"); - assert_eq!(faithful.final_evaluations, fused.final_evaluations, "n={n}"); - assert_eq!(a1, a2, "folded a mismatch at n={n}"); - assert_eq!(b1, b2, "folded b mismatch at n={n}"); + let ref_result = reference_unfused(&a_orig, &b_orig); + + let mut a = a_orig.clone(); + let mut b = b_orig.clone(); + let mut trng = rng(); + let mut t = SanityTranscript::new(&mut trng); + let fused = inner_product_sumcheck(&mut a, &mut b, &mut t); + + assert_eq!(fused.prover_messages, ref_result.prover_messages, "n={n}"); + assert_eq!(fused.verifier_messages, ref_result.verifier_messages, "n={n}"); + assert_eq!(fused.final_evaluations, ref_result.final_evaluations, "n={n}"); } } #[test] -fn test_fused_matches_faithful_non_pow2() { - // Non-pow2 inputs fall back to the unfused path inside the fused kernel; - // verify the fallback is transparent. +fn test_fused_matches_unfused_reference_non_pow2() { for &n in &[3_usize, 5, 13, 33, 100] { let mut r = rng(); let a_orig: Vec = (0..n).map(|_| F64::rand(&mut r)).collect(); let b_orig: Vec = (0..n).map(|_| F64::rand(&mut r)).collect(); - let mut a1 = a_orig.clone(); - let mut b1 = b_orig.clone(); - let mut rng1 = rng(); - let mut t1 = SanityTranscript::new(&mut rng1); - let faithful = whir_sumcheck(&mut a1, &mut b1, &mut t1); - - let mut a2 = a_orig.clone(); - let mut b2 = b_orig.clone(); - let mut rng2 = rng(); - let mut t2 = SanityTranscript::new(&mut rng2); - let fused = whir_sumcheck_fused(&mut a2, &mut b2, &mut t2); - - assert_eq!(faithful.prover_messages, fused.prover_messages, "n={n}"); - assert_eq!(faithful.verifier_messages, fused.verifier_messages, "n={n}"); - assert_eq!(faithful.final_evaluations, fused.final_evaluations, "n={n}"); + let ref_result = reference_unfused(&a_orig, &b_orig); + + let mut a = a_orig.clone(); + let mut b = b_orig.clone(); + let mut trng = rng(); + let mut t = SanityTranscript::new(&mut trng); + let fused = inner_product_sumcheck(&mut a, &mut b, &mut t); + + assert_eq!(fused.prover_messages, ref_result.prover_messages, "n={n}"); + assert_eq!(fused.verifier_messages, ref_result.verifier_messages, "n={n}"); + assert_eq!(fused.final_evaluations, ref_result.final_evaluations, "n={n}"); } } -// Silence unused-import warning when this crate is built without tests -// exercising AdditiveGroup. (Referenced in F64::ZERO below.) +// Silence unused-import warning when built without tests touching AdditiveGroup. const _: F64 = ::ZERO; diff --git a/tests/multilinear_sumcheck.rs b/tests/multilinear_sumcheck.rs new file mode 100644 index 00000000..079c8dc9 --- /dev/null +++ b/tests/multilinear_sumcheck.rs @@ -0,0 +1,302 @@ +//! Integration tests for the MSB fused multilinear sumcheck. + +use ark_ff::{AdditiveGroup, Field, UniformRand}; +use ark_std::rand::{rngs::StdRng, SeedableRng}; + +use efficient_sumcheck::tests::F64; +use efficient_sumcheck::transcript::{SanityTranscript, Transcript}; +use efficient_sumcheck::{ + multilinear_sumcheck, multilinear_sumcheck_partial_with_hook, multilinear_sumcheck_with_hook, + Sumcheck, +}; + +const SEED: u64 = 0xA110C8ED; + +fn rng() -> StdRng { + StdRng::seed_from_u64(SEED) +} + +fn multilinear_extend(evals: &[F], point: &[F]) -> F { + assert_eq!(evals.len(), 1 << point.len()); + let mut current = evals.to_vec(); + for &r in point { + let half = current.len() / 2; + let (low, high) = current.split_at(half); + current = low + .iter() + .zip(high) + .map(|(l, h)| *l + (*h - *l) * r) + .collect(); + } + current[0] +} + +#[test] +fn test_power_of_two_roundtrip() { + let num_vars = 8; + let n = 1 << num_vars; + + let mut r = rng(); + let v_orig: Vec = (0..n).map(|_| F64::rand(&mut r)).collect(); + + let mut prover_rng = rng(); + let mut v = v_orig.clone(); + let mut t_prove = SanityTranscript::new(&mut prover_rng); + let result: Sumcheck = multilinear_sumcheck(&mut v, &mut t_prove); + + assert_eq!(v.len(), 1); + assert_eq!(result.prover_messages.len(), num_vars); + assert_eq!(result.verifier_messages.len(), num_vars); + assert_eq!(result.final_evaluation, v[0]); + + // Folded value matches an independent MLE evaluation. + assert_eq!(multilinear_extend(&v_orig, &result.verifier_messages), v[0]); + + // Round-0 consistency: s0 + s1 == Σ v. + let claim: F64 = v_orig.iter().copied().sum(); + let (s0, s1) = result.prover_messages[0]; + assert_eq!(s0 + s1, claim); +} + +#[test] +fn test_non_power_of_two_partial_runs() { + let initial_size = 13_usize; + let padded = initial_size.next_power_of_two(); + let num_rounds = padded.trailing_zeros() as usize; + + let mut r = rng(); + let v_orig: Vec = (0..initial_size).map(|_| F64::rand(&mut r)).collect(); + + let mut prover_rng = rng(); + let mut v = v_orig.clone(); + let mut t = SanityTranscript::new(&mut prover_rng); + let result = multilinear_sumcheck_partial_with_hook(&mut v, &mut t, num_rounds, |_, _| {}); + assert_eq!(result.prover_messages.len(), num_rounds); + assert_eq!(result.verifier_messages.len(), num_rounds); + assert_eq!(v.len(), 1); +} + +#[test] +fn test_partial_split_matches_full() { + let num_vars = 8; + let n = 1 << num_vars; + let split_at = 3; + + let mut r = rng(); + let v_orig: Vec = (0..n).map(|_| F64::rand(&mut r)).collect(); + + let mut v_full = v_orig.clone(); + let mut full_rng = rng(); + let mut t_full = SanityTranscript::new(&mut full_rng); + let full = multilinear_sumcheck(&mut v_full, &mut t_full); + + let mut v = v_orig.clone(); + let mut split_rng = rng(); + let mut t_split = SanityTranscript::new(&mut split_rng); + let first = + multilinear_sumcheck_partial_with_hook(&mut v, &mut t_split, split_at, |_, _| {}); + let second = multilinear_sumcheck_partial_with_hook( + &mut v, + &mut t_split, + num_vars - split_at, + |_, _| {}, + ); + + let mut split_prover = first.prover_messages.clone(); + split_prover.extend(second.prover_messages.iter().copied()); + let mut split_verifier = first.verifier_messages.clone(); + split_verifier.extend(second.verifier_messages.iter().copied()); + + assert_eq!(split_prover, full.prover_messages); + assert_eq!(split_verifier, full.verifier_messages); + assert_eq!(second.final_evaluation, full.final_evaluation); + assert_eq!(first.final_evaluation, F64::ZERO); +} + +#[test] +fn test_hook_called_once_per_round() { + use std::cell::RefCell; + let num_vars = 6; + let n = 1 << num_vars; + + let mut r = rng(); + let mut v: Vec = (0..n).map(|_| F64::rand(&mut r)).collect(); + let mut trng = rng(); + let mut t = SanityTranscript::new(&mut trng); + + let calls = RefCell::new(Vec::::new()); + let result = multilinear_sumcheck_with_hook(&mut v, &mut t, |round, _| { + calls.borrow_mut().push(round); + }); + assert_eq!(result.prover_messages.len(), num_vars); + assert_eq!(calls.into_inner(), (0..num_vars).collect::>()); +} + +#[test] +fn test_zero_rounds_is_identity() { + let mut r = rng(); + let v_orig: Vec = (0..8).map(|_| F64::rand(&mut r)).collect(); + let mut v = v_orig.clone(); + let mut trng = rng(); + let mut t = SanityTranscript::new(&mut trng); + + let result = multilinear_sumcheck_partial_with_hook(&mut v, &mut t, 0, |_, _| {}); + assert!(result.prover_messages.is_empty()); + assert!(result.verifier_messages.is_empty()); + assert_eq!(v, v_orig); +} + +#[test] +fn test_round0_msg_is_half_sums() { + let n = 16_usize; + let mut r = rng(); + let v: Vec = (0..n).map(|_| F64::rand(&mut r)).collect(); + + let mut v_mut = v.clone(); + let mut trng = rng(); + let mut t = SanityTranscript::new(&mut trng); + let result = multilinear_sumcheck_partial_with_hook(&mut v_mut, &mut t, 1, |_, _| {}); + let (s0, s1) = result.prover_messages[0]; + + let half = n / 2; + let expected_s0: F64 = v[..half].iter().copied().sum(); + let expected_s1: F64 = v[half..].iter().copied().sum(); + assert_eq!(s0, expected_s0); + assert_eq!(s1, expected_s1); +} + +#[test] +fn test_deterministic_under_same_seed() { + let n = 1 << 5; + let mut r = rng(); + let v_orig: Vec = (0..n).map(|_| F64::rand(&mut r)).collect(); + + let run = || -> _ { + let mut v = v_orig.clone(); + let mut trng = rng(); + let mut t = SanityTranscript::new(&mut trng); + multilinear_sumcheck(&mut v, &mut t) + }; + let r1 = run(); + let r2 = run(); + assert_eq!(r1.prover_messages, r2.prover_messages); + assert_eq!(r1.verifier_messages, r2.verifier_messages); + assert_eq!(r1.final_evaluation, r2.final_evaluation); +} + +/// Reference: unfused half-split prover. Runs fold then compute each round. +fn reference_unfused(v_orig: &[F64]) -> Sumcheck { + let mut v = v_orig.to_vec(); + let mut trng = rng(); + let mut t = SanityTranscript::new(&mut trng); + let num_rounds = if v.is_empty() { + 0 + } else { + v.len().next_power_of_two().trailing_zeros() as usize + }; + + let mut prover_messages = Vec::with_capacity(num_rounds); + let mut verifier_messages = Vec::with_capacity(num_rounds); + let mut w: Option = None; + + for _ in 0..num_rounds { + if let Some(weight) = w { + fold_in_place(&mut v, weight); + } + let (s0, s1) = compute_ref(&v); + prover_messages.push((s0, s1)); + t.write(s0); + t.write(s1); + let r: F64 = t.read(); + verifier_messages.push(r); + w = Some(r); + } + if let Some(weight) = w { + fold_in_place(&mut v, weight); + } + + let final_evaluation = if v.len() == 1 { v[0] } else { F64::ZERO }; + Sumcheck { + prover_messages, + verifier_messages, + final_evaluation, + } +} + +fn fold_in_place(values: &mut Vec, weight: F) { + if values.len() <= 1 { + return; + } + let half = values.len().next_power_of_two() >> 1; + let (low, high) = values.split_at_mut(half); + let (low, tail) = low.split_at_mut(high.len()); + for (lo, hi) in low.iter_mut().zip(high.iter()) { + *lo += (*hi - *lo) * weight; + } + for x in tail.iter_mut() { + *x *= F::ONE - weight; + } + values.truncate(half); +} + +fn compute_ref(values: &[F]) -> (F, F) { + if values.is_empty() { + return (F::ZERO, F::ZERO); + } + if values.len() == 1 { + return (values[0], F::ZERO); + } + let half = values.len().next_power_of_two() >> 1; + let (lo, hi) = values.split_at(half); + let (lo, lo_tail) = lo.split_at(hi.len()); + let mut s0 = F::ZERO; + let mut s1 = F::ZERO; + for (&l, &h) in lo.iter().zip(hi) { + s0 += l; + s1 += h; + } + let tail: F = lo_tail.iter().copied().sum(); + (s0 + tail, s1) +} + +#[test] +fn test_fused_matches_unfused_reference_pow2() { + for &num_vars in &[1_usize, 2, 4, 7, 10] { + let n = 1 << num_vars; + let mut r = rng(); + let v_orig: Vec = (0..n).map(|_| F64::rand(&mut r)).collect(); + + let ref_result = reference_unfused(&v_orig); + + let mut v = v_orig.clone(); + let mut trng = rng(); + let mut t = SanityTranscript::new(&mut trng); + let fused = multilinear_sumcheck(&mut v, &mut t); + + assert_eq!(fused.prover_messages, ref_result.prover_messages, "n={n}"); + assert_eq!(fused.verifier_messages, ref_result.verifier_messages, "n={n}"); + assert_eq!(fused.final_evaluation, ref_result.final_evaluation, "n={n}"); + } +} + +#[test] +fn test_fused_matches_unfused_reference_non_pow2() { + for &n in &[3_usize, 5, 13, 33, 100] { + let mut r = rng(); + let v_orig: Vec = (0..n).map(|_| F64::rand(&mut r)).collect(); + + let ref_result = reference_unfused(&v_orig); + + let mut v = v_orig.clone(); + let mut trng = rng(); + let mut t = SanityTranscript::new(&mut trng); + let fused = multilinear_sumcheck(&mut v, &mut t); + + assert_eq!(fused.prover_messages, ref_result.prover_messages, "n={n}"); + assert_eq!(fused.verifier_messages, ref_result.verifier_messages, "n={n}"); + assert_eq!(fused.final_evaluation, ref_result.final_evaluation, "n={n}"); + } +} + +// Silence unused-import warning when built without tests touching AdditiveGroup. +const _: F64 = ::ZERO; From 4e1298d94badb7f70854a3220df3b96279b7246d Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Thu, 16 Apr 2026 17:24:02 +0200 Subject: [PATCH 45/52] clippy --- .claude/settings.json | 6 +- benches/simd_vs_generic.rs | 39 +- src/inner_product_sumcheck.rs | 16 +- src/multilinear_product/sumcheck.rs | 11 +- src/multilinear_sumcheck.rs | 9 +- src/simd_fields/goldilocks/neon.rs | 200 +++++- src/simd_ops.rs | 31 +- src/simd_sumcheck/dispatch.rs | 426 ++++++++---- src/simd_sumcheck/reduce.rs | 959 +++++++++++++++++++++------- tests/inner_product_sumcheck.rs | 29 +- tests/multilinear_sumcheck.rs | 13 +- 11 files changed, 1299 insertions(+), 440 deletions(-) diff --git a/.claude/settings.json b/.claude/settings.json index b48a659a..5f38501b 100644 --- a/.claude/settings.json +++ b/.claude/settings.json @@ -1,7 +1,11 @@ { "permissions": { "allow": [ - "Bash(tee /tmp/final_bench.log)" + "Bash(tee /tmp/final_bench.log)", + "Bash(tee /tmp/fused_bench.log)", + "Bash(tee /tmp/fused_bench_vectorized_mul.log)", + "Read(//Users/zitek/Desktop/**)", + "Bash(ssh -i ~/Desktop/bench-epfl.pem -o StrictHostKeyChecking=accept-new -o ConnectTimeout=10 ec2-user@ec2-18-193-83-29.eu-central-1.compute.amazonaws.com 'ls ~/src && pwd && echo \"OK\"')" ] } } diff --git a/benches/simd_vs_generic.rs b/benches/simd_vs_generic.rs index 3b202dc9..5b6aa608 100644 --- a/benches/simd_vs_generic.rs +++ b/benches/simd_vs_generic.rs @@ -46,10 +46,7 @@ fn simd_vs_generic_sumcheck(c: &mut Criterion) { |mut evals| { let mut rng = ark_std::test_rng(); let mut transcript = SanityTranscript::new(&mut rng); - black_box(multilinear_sumcheck( - &mut evals, - &mut transcript, - )); + black_box(multilinear_sumcheck(&mut evals, &mut transcript)); }, ) }, @@ -369,11 +366,7 @@ fn inner_product_sumcheck_bench(c: &mut Criterion) { |(mut f, mut g)| { let mut rng = ark_std::test_rng(); let mut transcript = SanityTranscript::new(&mut rng); - black_box(inner_product_sumcheck( - &mut f, - &mut g, - &mut transcript, - )); + black_box(inner_product_sumcheck(&mut f, &mut g, &mut transcript)); }, ) }, @@ -645,10 +638,7 @@ fn extension_field_sumcheck_bench(c: &mut Criterion) { |mut evals| { let mut rng = ark_std::test_rng(); let mut transcript = SanityTranscript::new(&mut rng); - black_box(multilinear_sumcheck( - &mut evals, - &mut transcript, - )); + black_box(multilinear_sumcheck(&mut evals, &mut transcript)); }, ) }, @@ -701,10 +691,7 @@ fn extension_field_sumcheck_bench(c: &mut Criterion) { |mut evals| { let mut rng = ark_std::test_rng(); let mut transcript = SanityTranscript::new(&mut rng); - black_box(multilinear_sumcheck( - &mut evals, - &mut transcript, - )); + black_box(multilinear_sumcheck(&mut evals, &mut transcript)); }, ) }, @@ -772,11 +759,7 @@ fn inner_product_extension_bench(c: &mut Criterion) { |(mut f, mut g)| { let mut rng = ark_std::test_rng(); let mut transcript = SanityTranscript::new(&mut rng); - black_box(inner_product_sumcheck( - &mut f, - &mut g, - &mut transcript, - )); + black_box(inner_product_sumcheck(&mut f, &mut g, &mut transcript)); }, ) }, @@ -829,11 +812,7 @@ fn inner_product_extension_bench(c: &mut Criterion) { |(mut f, mut g)| { let mut rng = ark_std::test_rng(); let mut transcript = SanityTranscript::new(&mut rng); - black_box(inner_product_sumcheck( - &mut f, - &mut g, - &mut transcript, - )); + black_box(inner_product_sumcheck(&mut f, &mut g, &mut transcript)); }, ) }, @@ -886,11 +865,7 @@ fn inner_product_extension_bench(c: &mut Criterion) { |(mut f, mut g)| { let mut rng = ark_std::test_rng(); let mut transcript = SanityTranscript::new(&mut rng); - black_box(inner_product_sumcheck( - &mut f, - &mut g, - &mut transcript, - )); + black_box(inner_product_sumcheck(&mut f, &mut g, &mut transcript)); }, ) }, diff --git a/src/inner_product_sumcheck.rs b/src/inner_product_sumcheck.rs index 0b18a092..b157ab35 100644 --- a/src/inner_product_sumcheck.rs +++ b/src/inner_product_sumcheck.rs @@ -9,13 +9,15 @@ //! Wire format per round: `(c0, c2)` in *difference form*, where //! - `c0 = q(0) = Σ a_lo·b_lo` //! - `c2 = [x²] q(x) = Σ (a_hi − a_lo)·(b_hi − b_lo)` -//! and the verifier derives `c1 = claim − 2·c0 − c2` from the sumcheck +//! +//! The verifier derives `c1 = claim − 2·c0 − c2` from the sumcheck //! constraint `q(0) + q(1) = claim`. //! //! The fused kernel rolls the round-`i` fold into the round-`(i+1)` compute, -//! cutting memory traffic from 12 reads + 4 writes per quadruple to 8 reads -//! + 4 writes — roughly a 25% reduction on the cold path, with additional -//! cache-locality gains from reading all four strides simultaneously. +//! cutting memory traffic from 12 reads + 4 writes per quadruple to +//! 8 reads + 4 writes — roughly a 25% reduction on the cold path, with +//! additional cache-locality gains from reading all four strides +//! simultaneously. use ark_ff::Field; #[cfg(feature = "parallel")] @@ -166,11 +168,7 @@ pub fn fold(values: &mut Vec, weight: F) { } /// Two-pass fold-then-compute; reference version kept for testing. -pub fn fold_and_compute_polynomial( - a: &mut Vec, - b: &mut Vec, - weight: F, -) -> (F, F) { +pub fn fold_and_compute_polynomial(a: &mut Vec, b: &mut Vec, weight: F) -> (F, F) { fold(a, weight); fold(b, weight); compute_sumcheck_polynomial(a, b) diff --git a/src/multilinear_product/sumcheck.rs b/src/multilinear_product/sumcheck.rs index 4c42a1dc..1e4bf76f 100644 --- a/src/multilinear_product/sumcheck.rs +++ b/src/multilinear_product/sumcheck.rs @@ -116,9 +116,9 @@ mod tests { let mut rng = test_rng(); for _ in 0..1000 { // Sample a random degree-2 polynomial via its coefficients. - let a = F64::rand(&mut rng); // q(0) - let linear = F64::rand(&mut rng); // linear coefficient of q - let quadratic = F64::rand(&mut rng); // quadratic coefficient of q + let a = F64::rand(&mut rng); // q(0) + let linear = F64::rand(&mut rng); // linear coefficient of q + let quadratic = F64::rand(&mut rng); // quadratic coefficient of q let r = F64::rand(&mut rng); // Reconstruct wire-format b: linear = b − 2a ⇒ b = linear + 2a. @@ -166,6 +166,9 @@ mod tests { let expected: F64 = (0..n / 2).map(|k| ff[2 * k] * gg[2 * k]).sum(); let got = ProductSumcheck::::evaluate_round_poly(r, a, b, claim); - assert_eq!(got, expected, "evaluate_round_poly disagrees with folded prover output"); + assert_eq!( + got, expected, + "evaluate_round_poly disagrees with folded prover output" + ); } } diff --git a/src/multilinear_sumcheck.rs b/src/multilinear_sumcheck.rs index db70156f..8fdb5fa7 100644 --- a/src/multilinear_sumcheck.rs +++ b/src/multilinear_sumcheck.rs @@ -9,6 +9,7 @@ //! Wire format per round: `(s0, s1)` where //! - `s0 = q(0) = Σ v_lo` //! - `s1 = q(1) = Σ v_hi` +//! //! The round polynomial is degree 1: `q(X) = s0 + X·(s1 − s0)`. Consistency //! invariant: `s0 + s1 == current_claim`. //! @@ -166,13 +167,7 @@ pub fn fused_fold_and_compute_polynomial(values: &mut Vec, weight: return fold_and_compute_polynomial(values, weight); } - fn kernel( - v0: &mut [F], - v1: &mut [F], - v2: &[F], - v3: &[F], - weight: F, - ) -> (F, F) { + fn kernel(v0: &mut [F], v1: &mut [F], v2: &[F], v3: &[F], weight: F) -> (F, F) { debug_assert_eq!(v0.len(), v1.len()); debug_assert_eq!(v0.len(), v2.len()); debug_assert_eq!(v0.len(), v3.len()); diff --git a/src/simd_fields/goldilocks/neon.rs b/src/simd_fields/goldilocks/neon.rs index c71a4e60..2577d431 100644 --- a/src/simd_fields/goldilocks/neon.rs +++ b/src/simd_fields/goldilocks/neon.rs @@ -89,7 +89,16 @@ impl SimdBaseField for GoldilocksNeon { #[inline(always)] fn mul(a: uint64x2_t, b: uint64x2_t) -> uint64x2_t { // Per-lane Montgomery multiplication (CIOS for N=1). - // NEON has no 64×64→128, so we extract lanes and use scalar. + // + // NEON has no 64×64→128 multiply instruction. We tried vectorizing + // via four `vmull_u32` partial products (see `mont_mul_pair` below, + // kept for testing/reference), but it was ~1.5× SLOWER across all + // input sizes on Apple Silicon — the M-series scalar integer pipeline + // is fast enough that `(a as u128) * (b as u128)` (compiled to + // MUL+UMULH, 2 instructions) beats ~14+ NEON instructions for the + // vectorized equivalent. On other ARM cores with narrower scalar + // pipes (Graviton, Neoverse, older Cortex-A) the vectorized path + // may still win; swap in `mont_mul_pair` there if benched as such. unsafe { let a0 = vgetq_lane_u64(a, 0); let a1 = vgetq_lane_u64(a, 1); @@ -170,6 +179,124 @@ fn mont_mul(a: u64, b: u64) -> u64 { result } +/// NEON-vectorized paired Montgomery multiply for two Goldilocks elements. +/// +/// Input `a`, `b` each hold two u64 operands in Montgomery form. Returns +/// `[mont_mul(a[0], b[0]), mont_mul(a[1], b[1])]`. +/// +/// 64×64→128 via four parallel `vmull_u32` instructions (each does 2 lanes +/// of 32×32→64), then CIOS Montgomery reduction using a second batch of +/// `vmull_u32`s for `k·P`. Two full Montgomery mults in ~20 NEON +/// instructions total. +/// +/// **NOT currently wired into `F::mul`** on Apple Silicon: the scalar- +/// wrapped path (`(a as u128) * (b as u128)`, compiled to MUL+UMULH) is +/// faster on M-series because the scalar integer pipeline is very wide. +/// Kept here for reference + testing; plausibly wins on other ARM cores +/// (Graviton, Neoverse, Cortex-A78 and earlier) where scalar 64×64→128 is +/// more expensive. Bench before swapping in. +#[inline(always)] +#[allow(dead_code)] +unsafe fn mont_mul_pair(a: uint64x2_t, b: uint64x2_t) -> uint64x2_t { + // ── Step 1: full 64×64→128 via schoolbook 32-bit partial products ── + let a_lo32 = vmovn_u64(a); + let a_hi32 = vshrn_n_u64::<32>(a); + let b_lo32 = vmovn_u64(b); + let b_hi32 = vshrn_n_u64::<32>(b); + + let ll = vmull_u32(a_lo32, b_lo32); + let lh = vmull_u32(a_lo32, b_hi32); + let hl = vmull_u32(a_hi32, b_lo32); + let hh = vmull_u32(a_hi32, b_hi32); + + // Combine: full_128 = ll + (lh + hl) << 32 + hh << 64. + // lh + hl may overflow u64; track the carry bit. + let mid_lo = vaddq_u64(lh, hl); + let mid_overflow = vcltq_u64(mid_lo, lh); + let mid_carry = vshrq_n_u64::<63>(mid_overflow); + + // (mid << 32) split into (lo64, hi64): + // lo64 = mid_lo << 32 (mod 2^64) + // hi64 = (mid_lo >> 32) | (mid_carry << 32) + let shifted_lo = vshlq_n_u64::<32>(mid_lo); + let shifted_hi = vorrq_u64(vshrq_n_u64::<32>(mid_lo), vshlq_n_u64::<32>(mid_carry)); + + // full_lo = ll + shifted_lo (with carry to full_hi) + let full_lo = vaddq_u64(ll, shifted_lo); + let full_lo_overflow = vcltq_u64(full_lo, ll); + let full_lo_carry = vshrq_n_u64::<63>(full_lo_overflow); + + // full_hi = hh + shifted_hi + full_lo_carry. No further overflow + // because (a*b) < 2^128 by construction, so full_hi < 2^64. + let full_hi = vaddq_u64(vaddq_u64(hh, shifted_hi), full_lo_carry); + + // ── Step 2: k = (full_lo * INV) mod 2^64 ── + // Only low 64 bits needed. 3 partial products suffice; the hh term + // contributes to bits ≥ 64 and is dropped. + let inv_vec = vdupq_n_u64(INV); + let fl_lo32 = vmovn_u64(full_lo); + let fl_hi32 = vshrn_n_u64::<32>(full_lo); + let inv_lo32 = vmovn_u64(inv_vec); + let inv_hi32 = vshrn_n_u64::<32>(inv_vec); + + let k_ll = vmull_u32(fl_lo32, inv_lo32); + let k_lh = vmull_u32(fl_lo32, inv_hi32); + let k_hl = vmull_u32(fl_hi32, inv_lo32); + + // k = k_ll + ((k_lh + k_hl) << 32) mod 2^64. + let k_mid = vaddq_u64(k_lh, k_hl); + let k = vaddq_u64(k_ll, vshlq_n_u64::<32>(k_mid)); + + // ── Step 3: t = k * P (128-bit) via partial products ── + // P = 2^64 − 2^32 + 1 → P.lo32 = 1, P.hi32 = 0xFFFFFFFF. + let p_lo32 = vdup_n_u32(1u32); + let p_hi32 = vdup_n_u32(0xFFFFFFFFu32); + let k_lo32 = vmovn_u64(k); + let k_hi32 = vshrn_n_u64::<32>(k); + + let t_ll = vmull_u32(k_lo32, p_lo32); + let t_lh = vmull_u32(k_lo32, p_hi32); + let t_hl = vmull_u32(k_hi32, p_lo32); + let t_hh = vmull_u32(k_hi32, p_hi32); + + let t_mid_lo = vaddq_u64(t_lh, t_hl); + let t_mid_overflow = vcltq_u64(t_mid_lo, t_lh); + let t_mid_carry = vshrq_n_u64::<63>(t_mid_overflow); + + let t_shifted_lo = vshlq_n_u64::<32>(t_mid_lo); + let t_shifted_hi = vorrq_u64(vshrq_n_u64::<32>(t_mid_lo), vshlq_n_u64::<32>(t_mid_carry)); + + let t_lo = vaddq_u64(t_ll, t_shifted_lo); + let t_lo_overflow = vcltq_u64(t_lo, t_ll); + let t_lo_carry = vshrq_n_u64::<63>(t_lo_overflow); + + let t_hi = vaddq_u64(vaddq_u64(t_hh, t_shifted_hi), t_lo_carry); + + // ── Step 4: result = (full + t) >> 64 ── + // By construction of k, (full_lo + t_lo) ≡ 0 (mod 2^64), so the + // only information from the low 64 bits is the carry. + let sum_lo = vaddq_u64(full_lo, t_lo); + let sum_lo_overflow = vcltq_u64(sum_lo, full_lo); + let sum_lo_carry = vshrq_n_u64::<63>(sum_lo_overflow); + + // result = full_hi + t_hi + sum_lo_carry. Can overflow u64 — track it. + let result_tmp = vaddq_u64(full_hi, t_hi); + let result_tmp_overflow = vcltq_u64(result_tmp, full_hi); + let result = vaddq_u64(result_tmp, sum_lo_carry); + let result_overflow = vcltq_u64(result, result_tmp); + + // Final overflow mask: either tmp overflowed, or the +carry overflowed. + let total_overflow = vorrq_u64(result_tmp_overflow, result_overflow); + + // ── Step 5: final reduction, if overflowed or result ≥ P, subtract P ── + let p_vec = vdupq_n_u64(P); + let result_ge_p = vcgeq_u64(result, p_vec); + let need_sub = vorrq_u64(total_overflow, result_ge_p); + let result_sub = vsubq_u64(result, p_vec); + + vbslq_u64(need_sub, result_sub, result) +} + // ── Extension field SIMD multiply functions ───────────────────────────────── // // These are free functions rather than trait impls because the nonresidue @@ -500,4 +627,75 @@ mod tests { assert_eq!(r_out[1][0], scalar_result[1], "ext2 NEON c1 mismatch"); } } + + /// Fuzz `mont_mul_pair` against the scalar `mont_mul` reference. + #[test] + fn mont_mul_pair_matches_scalar() { + use ark_std::{rand::Rng, test_rng}; + + let mut rng = test_rng(); + + // Deterministic corner cases first. + let corners: [u64; 10] = [ + 0, + 1, + MONT_ONE, + P - 1, + P, + 0xFFFFFFFF_FFFFFFFF, + 0x8000_0000_0000_0000, + 0x7FFF_FFFF_FFFF_FFFF, + EPSILON, + INV, + ]; + + let mut check = |a0: u64, b0: u64, a1: u64, b1: u64| { + // Operate on (mod P) reduced inputs — NEON backend expects + // canonical Montgomery-form values in [0, P). + let a0 = a0 % P; + let b0 = b0 % P; + let a1 = a1 % P; + let b1 = b1 % P; + + let buf_a = [a0, a1]; + let buf_b = [b0, b1]; + let a_v = unsafe { vld1q_u64(buf_a.as_ptr()) }; + let b_v = unsafe { vld1q_u64(buf_b.as_ptr()) }; + + let r_v = unsafe { mont_mul_pair(a_v, b_v) }; + let mut r_out = [0u64; 2]; + unsafe { vst1q_u64(r_out.as_mut_ptr(), r_v) }; + + let ref0 = mont_mul(a0, b0); + let ref1 = mont_mul(a1, b1); + assert_eq!( + r_out[0], ref0, + "lane 0 mismatch: a={:016x} b={:016x} neon={:016x} ref={:016x}", + a0, b0, r_out[0], ref0 + ); + assert_eq!( + r_out[1], ref1, + "lane 1 mismatch: a={:016x} b={:016x} neon={:016x} ref={:016x}", + a1, b1, r_out[1], ref1 + ); + }; + + // All corner × corner combinations (lane 0 only; lane 1 = random). + for &a in corners.iter() { + for &b in corners.iter() { + let a1: u64 = rng.gen(); + let b1: u64 = rng.gen(); + check(a, b, a1, b1); + } + } + + // Fuzz 10k random pairs. + for _ in 0..10_000 { + let a0: u64 = rng.gen(); + let b0: u64 = rng.gen(); + let a1: u64 = rng.gen(); + let b1: u64 = rng.gen(); + check(a0, b0, a1, b1); + } + } } diff --git a/src/simd_ops.rs b/src/simd_ops.rs index 73a21ae0..4bffdb6d 100644 --- a/src/simd_ops.rs +++ b/src/simd_ops.rs @@ -374,7 +374,10 @@ fn simd_ext2_product_sum( &f_c0, &f_c1, &g_c0, &g_c1, w, ); - return (pack_ext_u64_to_field::(&a), pack_ext_u64_to_field::(&b)); + return ( + pack_ext_u64_to_field::(&a), + pack_ext_u64_to_field::(&b), + ); } // Parallel AoS → SoA; one pass each for f and g. @@ -402,7 +405,10 @@ fn simd_ext2_product_sum(&a), pack_ext_u64_to_field::(&b)) + ( + pack_ext_u64_to_field::(&a), + pack_ext_u64_to_field::(&b), + ) } #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] @@ -425,7 +431,10 @@ fn simd_ext3_product_sum( &f_c0, &f_c1, &f_c2, &g_c0, &g_c1, &g_c2, w, ); - return (pack_ext_u64_to_field::(&a), pack_ext_u64_to_field::(&b)); + return ( + pack_ext_u64_to_field::(&a), + pack_ext_u64_to_field::(&b), + ); } let ((f_c0, f_c1, f_c2), (g_c0, g_c1, g_c2)) = @@ -462,20 +471,22 @@ fn simd_ext3_product_sum(&a), pack_ext_u64_to_field::(&b)) + ( + pack_ext_u64_to_field::(&a), + pack_ext_u64_to_field::(&b), + ) } #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] #[inline] fn pack_ext_u64_to_field(limbs: &[u64]) -> F { - debug_assert_eq!(core::mem::size_of::(), limbs.len() * core::mem::size_of::()); + debug_assert_eq!( + core::mem::size_of::(), + limbs.len() * core::mem::size_of::() + ); unsafe { let mut out = core::mem::MaybeUninit::::uninit(); - core::ptr::copy_nonoverlapping( - limbs.as_ptr(), - out.as_mut_ptr() as *mut u64, - limbs.len(), - ); + core::ptr::copy_nonoverlapping(limbs.as_ptr(), out.as_mut_ptr() as *mut u64, limbs.len()); out.assume_init() } } diff --git a/src/simd_sumcheck/dispatch.rs b/src/simd_sumcheck/dispatch.rs index 48a8abd7..d3a9f8c7 100644 --- a/src/simd_sumcheck/dispatch.rs +++ b/src/simd_sumcheck/dispatch.rs @@ -118,7 +118,10 @@ fn is_goldilocks_based() -> bool { all(target_arch = "x86_64", target_feature = "avx512ifma") ))] #[inline] -pub(crate) fn extract_nonresidue_ext2>() -> u64 { +pub(crate) fn extract_nonresidue_ext2< + EF: Field, + S: crate::simd_fields::SimdBaseField, +>() -> u64 { let one_x = unsafe { let mut tmp = [0u64; 2]; tmp[1] = S::ONE; @@ -136,7 +139,10 @@ pub(crate) fn extract_nonresidue_ext2>() -> u64 { +pub(crate) fn extract_nonresidue_ext3< + EF: Field, + S: crate::simd_fields::SimdBaseField, +>() -> u64 { let one_x = unsafe { let mut tmp = [0u64; 3]; tmp[1] = S::ONE; @@ -168,6 +174,7 @@ pub(crate) fn extract_nonresidue_ext3( evaluations: &mut [BF], transcript: &mut T, @@ -322,8 +329,16 @@ where // Size n/2 is enough for the first parallel round; subsequent rounds write // smaller outputs. let use_parallel = n > EXT_PARALLEL_THRESHOLD; - let mut scratch_c0: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; - let mut scratch_c1: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + let mut scratch_c0: Vec = if use_parallel { + vec![0u64; n / 2] + } else { + Vec::new() + }; + let mut scratch_c1: Vec = if use_parallel { + vec![0u64; n / 2] + } else { + Vec::new() + }; // Fused reduce+evaluate: rounds 1+ get evaluate results from the prior // round's fused kernel, eliminating one full data pass per round. @@ -358,10 +373,15 @@ where if len > EXT_PARALLEL_THRESHOLD { let new_len = len / 2; let (next_even, next_odd) = - crate::simd_sumcheck::reduce::ext2_soa_reduce_and_evaluate_parallel::( - &c0[..len], &c1[..len], - &mut scratch_c0[..new_len], &mut scratch_c1[..new_len], - chg_raw, w, + crate::simd_sumcheck::reduce::ext2_soa_reduce_and_evaluate_parallel::< + Backend, + >( + &c0[..len], + &c1[..len], + &mut scratch_c0[..new_len], + &mut scratch_c1[..new_len], + chg_raw, + w, ); core::mem::swap(&mut c0, &mut scratch_c0); core::mem::swap(&mut c1, &mut scratch_c1); @@ -370,7 +390,10 @@ where } else { let (next_even, next_odd, new_len) = crate::simd_sumcheck::reduce::ext2_soa_reduce_and_evaluate::( - &mut c0[..len], &mut c1[..len], chg_raw, w, + &mut c0[..len], + &mut c1[..len], + chg_raw, + w, ); len = new_len; pending_eval = Some((next_even, next_odd)); @@ -391,9 +414,21 @@ where let (mut c0, mut c1, mut c2) = aos_to_soa_ext3(src); let mut len = n; let use_parallel = n > EXT_PARALLEL_THRESHOLD; - let mut scratch_c0: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; - let mut scratch_c1: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; - let mut scratch_c2: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + let mut scratch_c0: Vec = if use_parallel { + vec![0u64; n / 2] + } else { + Vec::new() + }; + let mut scratch_c1: Vec = if use_parallel { + vec![0u64; n / 2] + } else { + Vec::new() + }; + let mut scratch_c2: Vec = if use_parallel { + vec![0u64; n / 2] + } else { + Vec::new() + }; let mut pending_eval: Option<([u64; 3], [u64; 3])> = None; for round in 0..num_rounds { @@ -426,10 +461,17 @@ where if len > EXT_PARALLEL_THRESHOLD { let new_len = len / 2; let (next_even, next_odd) = - crate::simd_sumcheck::reduce::ext3_soa_reduce_and_evaluate_parallel::( - &c0[..len], &c1[..len], &c2[..len], - &mut scratch_c0[..new_len], &mut scratch_c1[..new_len], &mut scratch_c2[..new_len], - chg_raw, w, + crate::simd_sumcheck::reduce::ext3_soa_reduce_and_evaluate_parallel::< + Backend, + >( + &c0[..len], + &c1[..len], + &c2[..len], + &mut scratch_c0[..new_len], + &mut scratch_c1[..new_len], + &mut scratch_c2[..new_len], + chg_raw, + w, ); core::mem::swap(&mut c0, &mut scratch_c0); core::mem::swap(&mut c1, &mut scratch_c1); @@ -439,7 +481,11 @@ where } else { let (next_even, next_odd, new_len) = crate::simd_sumcheck::reduce::ext3_soa_reduce_and_evaluate::( - &mut c0[..len], &mut c1[..len], &mut c2[..len], chg_raw, w, + &mut c0[..len], + &mut c1[..len], + &mut c2[..len], + chg_raw, + w, ); len = new_len; pending_eval = Some((next_even, next_odd)); @@ -466,6 +512,7 @@ where target_arch = "aarch64", all(target_arch = "x86_64", target_feature = "avx512ifma") ))] +#[allow(dead_code)] // Called only by the orphan `try_simd_dispatch`. fn dispatch_all_simd( evaluations: &mut [BF], transcript: &mut T, @@ -538,6 +585,7 @@ where target_arch = "aarch64", all(target_arch = "x86_64", target_feature = "avx512ifma") ))] +#[allow(dead_code)] // Called only by the orphan `try_simd_dispatch`. fn dispatch_hybrid( evaluations: &[BF], transcript: &mut T, @@ -610,6 +658,7 @@ where target_arch = "aarch64", all(target_arch = "x86_64", target_feature = "avx512ifma") ))] +#[allow(dead_code)] // Orphaned after the MSB refactor; kept as reference. pub(crate) fn try_simd_product_dispatch( f: &mut [BF], g: &mut [BF], @@ -844,6 +893,7 @@ unsafe fn ext_components_to_field(components: &[u64]) -> F { target_arch = "aarch64", all(target_arch = "x86_64", target_feature = "avx512ifma") ))] +#[allow(dead_code)] // Orphaned after the MSB refactor; kept as reference. pub(crate) fn try_simd_ext_fused_reduce_evaluate( evals: &mut Vec, challenge: EF, @@ -1059,6 +1109,7 @@ pub(crate) fn aos_to_soa_ext3(src: &[u64]) -> (Vec, Vec, Vec) { target_arch = "aarch64", all(target_arch = "x86_64", target_feature = "avx512ifma") ))] +#[allow(dead_code)] // Orphaned after the MSB refactor; kept as reference. pub(crate) fn try_simd_ext_product_dispatch( f: &mut [BF], g: &mut [BF], @@ -1096,10 +1147,8 @@ where let mut final_evaluations = (EF::ZERO, EF::ZERO); // Convert both f and g from AoS → SoA - let f_u64: &[u64] = - unsafe { core::slice::from_raw_parts(f.as_ptr() as *const u64, n * d) }; - let g_u64: &[u64] = - unsafe { core::slice::from_raw_parts(g.as_ptr() as *const u64, n * d) }; + let f_u64: &[u64] = unsafe { core::slice::from_raw_parts(f.as_ptr() as *const u64, n * d) }; + let g_u64: &[u64] = unsafe { core::slice::from_raw_parts(g.as_ptr() as *const u64, n * d) }; const EXT_PARALLEL_THRESHOLD: usize = 1 << 17; @@ -1117,18 +1166,35 @@ where let mut len = n; let use_parallel = n > EXT_PARALLEL_THRESHOLD; - let mut sf_c0: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; - let mut sf_c1: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; - let mut sg_c0: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; - let mut sg_c1: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + let mut sf_c0: Vec = if use_parallel { + vec![0u64; n / 2] + } else { + Vec::new() + }; + let mut sf_c1: Vec = if use_parallel { + vec![0u64; n / 2] + } else { + Vec::new() + }; + let mut sg_c0: Vec = if use_parallel { + vec![0u64; n / 2] + } else { + Vec::new() + }; + let mut sg_c1: Vec = if use_parallel { + vec![0u64; n / 2] + } else { + Vec::new() + }; for round in 0..num_rounds { - let (a_raw, b_raw) = - crate::simd_sumcheck::reduce::ext2_soa_product_evaluate::( - &f_c0[..len], &f_c1[..len], - &g_c0[..len], &g_c1[..len], - w, - ); + let (a_raw, b_raw) = crate::simd_sumcheck::reduce::ext2_soa_product_evaluate::( + &f_c0[..len], + &f_c1[..len], + &g_c0[..len], + &g_c1[..len], + w, + ); let a: EF = unsafe { ext_components_to_field(&a_raw) }; let b: EF = unsafe { ext_components_to_field(&b_raw) }; @@ -1155,11 +1221,16 @@ where // iteration, so we skip the ~3 extra ext2 muls/iter that // the fused kernel used to do. crate::simd_sumcheck::reduce::ext2_soa_product_reduce_only_parallel::( - &f_c0[..len], &f_c1[..len], - &g_c0[..len], &g_c1[..len], - &mut sf_c0[..new_len], &mut sf_c1[..new_len], - &mut sg_c0[..new_len], &mut sg_c1[..new_len], - chg_raw, w, + &f_c0[..len], + &f_c1[..len], + &g_c0[..len], + &g_c1[..len], + &mut sf_c0[..new_len], + &mut sf_c1[..new_len], + &mut sg_c0[..new_len], + &mut sg_c1[..new_len], + chg_raw, + w, ); core::mem::swap(&mut f_c0, &mut sf_c0); core::mem::swap(&mut f_c1, &mut sf_c1); @@ -1169,9 +1240,12 @@ where } else { let new_len = crate::simd_sumcheck::reduce::ext2_soa_product_reduce_only::( - &mut f_c0[..len], &mut f_c1[..len], - &mut g_c0[..len], &mut g_c1[..len], - chg_raw, w, + &mut f_c0[..len], + &mut f_c1[..len], + &mut g_c0[..len], + &mut g_c1[..len], + chg_raw, + w, ); len = new_len; } @@ -1195,20 +1269,47 @@ where let mut len = n; let use_parallel = n > EXT_PARALLEL_THRESHOLD; - let mut sf_c0: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; - let mut sf_c1: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; - let mut sf_c2: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; - let mut sg_c0: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; - let mut sg_c1: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; - let mut sg_c2: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + let mut sf_c0: Vec = if use_parallel { + vec![0u64; n / 2] + } else { + Vec::new() + }; + let mut sf_c1: Vec = if use_parallel { + vec![0u64; n / 2] + } else { + Vec::new() + }; + let mut sf_c2: Vec = if use_parallel { + vec![0u64; n / 2] + } else { + Vec::new() + }; + let mut sg_c0: Vec = if use_parallel { + vec![0u64; n / 2] + } else { + Vec::new() + }; + let mut sg_c1: Vec = if use_parallel { + vec![0u64; n / 2] + } else { + Vec::new() + }; + let mut sg_c2: Vec = if use_parallel { + vec![0u64; n / 2] + } else { + Vec::new() + }; for round in 0..num_rounds { - let (a_raw, b_raw) = - crate::simd_sumcheck::reduce::ext3_soa_product_evaluate::( - &f_c0[..len], &f_c1[..len], &f_c2[..len], - &g_c0[..len], &g_c1[..len], &g_c2[..len], - w, - ); + let (a_raw, b_raw) = crate::simd_sumcheck::reduce::ext3_soa_product_evaluate::( + &f_c0[..len], + &f_c1[..len], + &f_c2[..len], + &g_c0[..len], + &g_c1[..len], + &g_c2[..len], + w, + ); let a: EF = unsafe { ext_components_to_field(&a_raw) }; let b: EF = unsafe { ext_components_to_field(&b_raw) }; @@ -1231,11 +1332,20 @@ where if len > EXT_PARALLEL_THRESHOLD { let new_len = len / 2; crate::simd_sumcheck::reduce::ext3_soa_product_reduce_only_parallel::( - &f_c0[..len], &f_c1[..len], &f_c2[..len], - &g_c0[..len], &g_c1[..len], &g_c2[..len], - &mut sf_c0[..new_len], &mut sf_c1[..new_len], &mut sf_c2[..new_len], - &mut sg_c0[..new_len], &mut sg_c1[..new_len], &mut sg_c2[..new_len], - chg_raw, w, + &f_c0[..len], + &f_c1[..len], + &f_c2[..len], + &g_c0[..len], + &g_c1[..len], + &g_c2[..len], + &mut sf_c0[..new_len], + &mut sf_c1[..new_len], + &mut sf_c2[..new_len], + &mut sg_c0[..new_len], + &mut sg_c1[..new_len], + &mut sg_c2[..new_len], + chg_raw, + w, ); core::mem::swap(&mut f_c0, &mut sf_c0); core::mem::swap(&mut f_c1, &mut sf_c1); @@ -1247,22 +1357,23 @@ where } else { let new_len = crate::simd_sumcheck::reduce::ext3_soa_product_reduce_only::( - &mut f_c0[..len], &mut f_c1[..len], &mut f_c2[..len], - &mut g_c0[..len], &mut g_c1[..len], &mut g_c2[..len], - chg_raw, w, + &mut f_c0[..len], + &mut f_c1[..len], + &mut f_c2[..len], + &mut g_c0[..len], + &mut g_c1[..len], + &mut g_c2[..len], + chg_raw, + w, ); len = new_len; } } else { debug_assert_eq!(len, 2); - let f0: EF = - unsafe { ext_components_to_field(&[f_c0[0], f_c1[0], f_c2[0]]) }; - let f1: EF = - unsafe { ext_components_to_field(&[f_c0[1], f_c1[1], f_c2[1]]) }; - let g0: EF = - unsafe { ext_components_to_field(&[g_c0[0], g_c1[0], g_c2[0]]) }; - let g1: EF = - unsafe { ext_components_to_field(&[g_c0[1], g_c1[1], g_c2[1]]) }; + let f0: EF = unsafe { ext_components_to_field(&[f_c0[0], f_c1[0], f_c2[0]]) }; + let f1: EF = unsafe { ext_components_to_field(&[f_c0[1], f_c1[1], f_c2[1]]) }; + let g0: EF = unsafe { ext_components_to_field(&[g_c0[0], g_c1[0], g_c2[0]]) }; + let g1: EF = unsafe { ext_components_to_field(&[g_c0[1], g_c1[1], g_c2[1]]) }; final_evaluations = (f0 + chg * (f1 - f0), g0 + chg * (g1 - g0)); } } @@ -1318,10 +1429,8 @@ where let mut prover_messages: Vec<(F, F)> = Vec::with_capacity(max_rounds); let mut verifier_messages: Vec = Vec::with_capacity(max_rounds); - let f_u64: &[u64] = - unsafe { core::slice::from_raw_parts(f.as_ptr() as *const u64, n * d) }; - let g_u64: &[u64] = - unsafe { core::slice::from_raw_parts(g.as_ptr() as *const u64, n * d) }; + let f_u64: &[u64] = unsafe { core::slice::from_raw_parts(f.as_ptr() as *const u64, n * d) }; + let g_u64: &[u64] = unsafe { core::slice::from_raw_parts(g.as_ptr() as *const u64, n * d) }; const EXT_PARALLEL_THRESHOLD: usize = 1 << 17; @@ -1333,16 +1442,35 @@ where let mut len = n; let use_parallel = n > EXT_PARALLEL_THRESHOLD; - let mut sf_c0: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; - let mut sf_c1: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; - let mut sg_c0: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; - let mut sg_c1: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + let mut sf_c0: Vec = if use_parallel { + vec![0u64; n / 2] + } else { + Vec::new() + }; + let mut sf_c1: Vec = if use_parallel { + vec![0u64; n / 2] + } else { + Vec::new() + }; + let mut sg_c0: Vec = if use_parallel { + vec![0u64; n / 2] + } else { + Vec::new() + }; + let mut sg_c1: Vec = if use_parallel { + vec![0u64; n / 2] + } else { + Vec::new() + }; for round in 0..max_rounds { - let (a_raw, b_raw) = - crate::simd_sumcheck::reduce::ext2_soa_product_evaluate::( - &f_c0[..len], &f_c1[..len], &g_c0[..len], &g_c1[..len], w, - ); + let (a_raw, b_raw) = crate::simd_sumcheck::reduce::ext2_soa_product_evaluate::( + &f_c0[..len], + &f_c1[..len], + &g_c0[..len], + &g_c1[..len], + w, + ); let a: F = unsafe { ext_components_to_field(&a_raw) }; let b: F = unsafe { ext_components_to_field(&b_raw) }; let msg = (a, b); @@ -1362,11 +1490,16 @@ where if len > EXT_PARALLEL_THRESHOLD { let new_len = len / 2; crate::simd_sumcheck::reduce::ext2_soa_product_reduce_only_parallel::( - &f_c0[..len], &f_c1[..len], - &g_c0[..len], &g_c1[..len], - &mut sf_c0[..new_len], &mut sf_c1[..new_len], - &mut sg_c0[..new_len], &mut sg_c1[..new_len], - chg_raw, w, + &f_c0[..len], + &f_c1[..len], + &g_c0[..len], + &g_c1[..len], + &mut sf_c0[..new_len], + &mut sf_c1[..new_len], + &mut sg_c0[..new_len], + &mut sg_c1[..new_len], + chg_raw, + w, ); core::mem::swap(&mut f_c0, &mut sf_c0); core::mem::swap(&mut f_c1, &mut sf_c1); @@ -1374,23 +1507,23 @@ where core::mem::swap(&mut g_c1, &mut sg_c1); len = new_len; } else { - let new_len = - crate::simd_sumcheck::reduce::ext2_soa_product_reduce_only::( - &mut f_c0[..len], &mut f_c1[..len], - &mut g_c0[..len], &mut g_c1[..len], - chg_raw, w, - ); + let new_len = crate::simd_sumcheck::reduce::ext2_soa_product_reduce_only::( + &mut f_c0[..len], + &mut f_c1[..len], + &mut g_c0[..len], + &mut g_c1[..len], + chg_raw, + w, + ); len = new_len; } } // SoA → AoS writeback into f and g, then truncate. - let f_out: &mut [u64] = unsafe { - core::slice::from_raw_parts_mut(f.as_mut_ptr() as *mut u64, len * d) - }; - let g_out: &mut [u64] = unsafe { - core::slice::from_raw_parts_mut(g.as_mut_ptr() as *mut u64, len * d) - }; + let f_out: &mut [u64] = + unsafe { core::slice::from_raw_parts_mut(f.as_mut_ptr() as *mut u64, len * d) }; + let g_out: &mut [u64] = + unsafe { core::slice::from_raw_parts_mut(g.as_mut_ptr() as *mut u64, len * d) }; for i in 0..len { f_out[2 * i] = f_c0[i]; f_out[2 * i + 1] = f_c1[i]; @@ -1408,12 +1541,36 @@ where let mut len = n; let use_parallel = n > EXT_PARALLEL_THRESHOLD; - let mut sf_c0: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; - let mut sf_c1: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; - let mut sf_c2: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; - let mut sg_c0: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; - let mut sg_c1: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; - let mut sg_c2: Vec = if use_parallel { vec![0u64; n / 2] } else { Vec::new() }; + let mut sf_c0: Vec = if use_parallel { + vec![0u64; n / 2] + } else { + Vec::new() + }; + let mut sf_c1: Vec = if use_parallel { + vec![0u64; n / 2] + } else { + Vec::new() + }; + let mut sf_c2: Vec = if use_parallel { + vec![0u64; n / 2] + } else { + Vec::new() + }; + let mut sg_c0: Vec = if use_parallel { + vec![0u64; n / 2] + } else { + Vec::new() + }; + let mut sg_c1: Vec = if use_parallel { + vec![0u64; n / 2] + } else { + Vec::new() + }; + let mut sg_c2: Vec = if use_parallel { + vec![0u64; n / 2] + } else { + Vec::new() + }; // pending_eval carries round k+1's (a, b) computed by round k's // fused reduce-and-next-eval kernel, so we only call standalone @@ -1423,8 +1580,13 @@ where for round in 0..max_rounds { let (a_raw, b_raw) = pending_eval.take().unwrap_or_else(|| { crate::simd_sumcheck::reduce::ext3_soa_product_evaluate::( - &f_c0[..len], &f_c1[..len], &f_c2[..len], - &g_c0[..len], &g_c1[..len], &g_c2[..len], w, + &f_c0[..len], + &f_c1[..len], + &f_c2[..len], + &g_c0[..len], + &g_c1[..len], + &g_c2[..len], + w, ) }); let a: F = unsafe { ext_components_to_field(&a_raw) }; @@ -1453,11 +1615,20 @@ where let new_len = len / 2; if is_last { crate::simd_sumcheck::reduce::ext3_soa_product_reduce_only_parallel::( - &f_c0[..len], &f_c1[..len], &f_c2[..len], - &g_c0[..len], &g_c1[..len], &g_c2[..len], - &mut sf_c0[..new_len], &mut sf_c1[..new_len], &mut sf_c2[..new_len], - &mut sg_c0[..new_len], &mut sg_c1[..new_len], &mut sg_c2[..new_len], - chg_raw, w, + &f_c0[..len], + &f_c1[..len], + &f_c2[..len], + &g_c0[..len], + &g_c1[..len], + &g_c2[..len], + &mut sf_c0[..new_len], + &mut sf_c1[..new_len], + &mut sf_c2[..new_len], + &mut sg_c0[..new_len], + &mut sg_c1[..new_len], + &mut sg_c2[..new_len], + chg_raw, + w, ); } else { let (next_a, next_b) = @@ -1478,31 +1649,38 @@ where core::mem::swap(&mut g_c2, &mut sg_c2); len = new_len; } else if is_last { - let new_len = - crate::simd_sumcheck::reduce::ext3_soa_product_reduce_only::( - &mut f_c0[..len], &mut f_c1[..len], &mut f_c2[..len], - &mut g_c0[..len], &mut g_c1[..len], &mut g_c2[..len], - chg_raw, w, - ); + let new_len = crate::simd_sumcheck::reduce::ext3_soa_product_reduce_only::( + &mut f_c0[..len], + &mut f_c1[..len], + &mut f_c2[..len], + &mut g_c0[..len], + &mut g_c1[..len], + &mut g_c2[..len], + chg_raw, + w, + ); len = new_len; } else { let (next_a, next_b, new_len) = crate::simd_sumcheck::reduce::ext3_soa_product_fused_reduce_next_eval::( - &mut f_c0[..len], &mut f_c1[..len], &mut f_c2[..len], - &mut g_c0[..len], &mut g_c1[..len], &mut g_c2[..len], - chg_raw, w, + &mut f_c0[..len], + &mut f_c1[..len], + &mut f_c2[..len], + &mut g_c0[..len], + &mut g_c1[..len], + &mut g_c2[..len], + chg_raw, + w, ); pending_eval = Some((next_a, next_b)); len = new_len; } } - let f_out: &mut [u64] = unsafe { - core::slice::from_raw_parts_mut(f.as_mut_ptr() as *mut u64, len * d) - }; - let g_out: &mut [u64] = unsafe { - core::slice::from_raw_parts_mut(g.as_mut_ptr() as *mut u64, len * d) - }; + let f_out: &mut [u64] = + unsafe { core::slice::from_raw_parts_mut(f.as_mut_ptr() as *mut u64, len * d) }; + let g_out: &mut [u64] = + unsafe { core::slice::from_raw_parts_mut(g.as_mut_ptr() as *mut u64, len * d) }; for i in 0..len { f_out[3 * i] = f_c0[i]; f_out[3 * i + 1] = f_c1[i]; diff --git a/src/simd_sumcheck/reduce.rs b/src/simd_sumcheck/reduce.rs index e7b27e90..9d5211a4 100644 --- a/src/simd_sumcheck/reduce.rs +++ b/src/simd_sumcheck/reduce.rs @@ -1246,7 +1246,10 @@ pub fn ext2_soa_reduce_in_place>( let d1 = F::scalar_sub(c1[2 * i + 1], c1[2 * i]); let prod_c0 = F::scalar_add(F::scalar_mul(challenge[0], d0), F::scalar_mul(ch1w_s, d1)); - let prod_c1 = F::scalar_add(F::scalar_mul(challenge[0], d1), F::scalar_mul(challenge[1], d0)); + let prod_c1 = F::scalar_add( + F::scalar_mul(challenge[0], d1), + F::scalar_mul(challenge[1], d0), + ); c0[i] = F::scalar_add(c0[2 * i], prod_c0); c1[i] = F::scalar_add(c1[2 * i], prod_c1); @@ -1277,7 +1280,13 @@ pub fn ext2_soa_reduce_and_evaluate>( // reads at src[2i, 2i+1] precede writes at out[i] for each step i. let (even, odd) = unsafe { ext2_soa_reduce_and_evaluate_raw::( - c0.as_ptr(), c1.as_ptr(), c0.as_mut_ptr(), c1.as_mut_ptr(), n, challenge, w, + c0.as_ptr(), + c1.as_ptr(), + c0.as_mut_ptr(), + c1.as_mut_ptr(), + n, + challenge, + w, ) }; (even, odd, n) @@ -1301,8 +1310,13 @@ pub fn ext2_soa_reduce_and_evaluate_into>( debug_assert_eq!(src_c1.len(), 2 * n); unsafe { ext2_soa_reduce_and_evaluate_raw::( - src_c0.as_ptr(), src_c1.as_ptr(), out_c0.as_mut_ptr(), out_c1.as_mut_ptr(), - n, challenge, w, + src_c0.as_ptr(), + src_c1.as_ptr(), + out_c0.as_mut_ptr(), + out_c1.as_mut_ptr(), + n, + challenge, + w, ) } } @@ -1406,8 +1420,14 @@ unsafe fn ext2_soa_reduce_and_evaluate_raw>( } // Finalize lazy accumulators - let total_c0 = F::add(F::reduce_carry(acc_c0_0, carry_c0_0), F::reduce_carry(acc_c0_1, carry_c0_1)); - let total_c1 = F::add(F::reduce_carry(acc_c1_0, carry_c1_0), F::reduce_carry(acc_c1_1, carry_c1_1)); + let total_c0 = F::add( + F::reduce_carry(acc_c0_0, carry_c0_0), + F::reduce_carry(acc_c0_1, carry_c0_1), + ); + let total_c1 = F::add( + F::reduce_carry(acc_c1_0, carry_c1_0), + F::reduce_carry(acc_c1_1, carry_c1_1), + ); // Extract even/odd lanes let mut buf = [F::ZERO; 32]; @@ -1416,13 +1436,19 @@ unsafe fn ext2_soa_reduce_and_evaluate_raw>( F::store(buf.as_mut_ptr(), total_c0); for (j, &v) in buf.iter().enumerate().take(F::LANES) { - if j % 2 == 0 { even[0] = F::scalar_add(even[0], v); } - else { odd[0] = F::scalar_add(odd[0], v); } + if j % 2 == 0 { + even[0] = F::scalar_add(even[0], v); + } else { + odd[0] = F::scalar_add(odd[0], v); + } } F::store(buf.as_mut_ptr(), total_c1); for (j, &v) in buf.iter().enumerate().take(F::LANES) { - if j % 2 == 0 { even[1] = F::scalar_add(even[1], v); } - else { odd[1] = F::scalar_add(odd[1], v); } + if j % 2 == 0 { + even[1] = F::scalar_add(even[1], v); + } else { + odd[1] = F::scalar_add(odd[1], v); + } } // Scalar tail @@ -1436,8 +1462,17 @@ unsafe fn ext2_soa_reduce_and_evaluate_raw>( let d0 = F::scalar_sub(b0, a0); let d1 = F::scalar_sub(b1, a1); - let r0 = F::scalar_add(a0, F::scalar_add(F::scalar_mul(challenge[0], d0), F::scalar_mul(ch1w_s, d1))); - let r1 = F::scalar_add(a1, F::scalar_add(F::scalar_mul(challenge[0], d1), F::scalar_mul(challenge[1], d0))); + let r0 = F::scalar_add( + a0, + F::scalar_add(F::scalar_mul(challenge[0], d0), F::scalar_mul(ch1w_s, d1)), + ); + let r1 = F::scalar_add( + a1, + F::scalar_add( + F::scalar_mul(challenge[0], d1), + F::scalar_mul(challenge[1], d0), + ), + ); *out_c0_ptr.add(i) = r0; *out_c1_ptr.add(i) = r1; @@ -1503,10 +1538,12 @@ pub fn ext2_soa_reduce_and_evaluate_parallel>( }) .reduce( || ([0u64; 2], [0u64; 2]), - |(e1, o1), (e2, o2)| ( - [F::scalar_add(e1[0], e2[0]), F::scalar_add(e1[1], e2[1])], - [F::scalar_add(o1[0], o2[0]), F::scalar_add(o1[1], o2[1])], - ), + |(e1, o1), (e2, o2)| { + ( + [F::scalar_add(e1[0], e2[0]), F::scalar_add(e1[1], e2[1])], + [F::scalar_add(o1[0], o2[0]), F::scalar_add(o1[1], o2[1])], + ) + }, ) } @@ -1540,7 +1577,11 @@ pub fn ext3_soa_reduce_in_place>( debug_assert_eq!(len, c2.len()); let n = len / 2; - let ch = [F::splat(challenge[0]), F::splat(challenge[1]), F::splat(challenge[2])]; + let ch = [ + F::splat(challenge[0]), + F::splat(challenge[1]), + F::splat(challenge[2]), + ]; let w_vec = F::splat(w); let lanes = F::LANES; @@ -1610,9 +1651,21 @@ pub fn ext3_soa_reduce_in_place>( let be = F::mul(ch[1], d[1]); let cf = F::mul(ch[2], d[2]); - let x = F::sub(F::sub(F::mul(F::add(ch[1], ch[2]), F::add(d[1], d[2])), be), cf); - let y = F::sub(F::sub(F::mul(F::add(ch[0], ch[1]), F::add(d[0], d[1])), ad), be); - let z = F::add(F::sub(F::sub(F::mul(F::add(ch[0], ch[2]), F::add(d[0], d[2])), ad), cf), be); + let x = F::sub( + F::sub(F::mul(F::add(ch[1], ch[2]), F::add(d[1], d[2])), be), + cf, + ); + let y = F::sub( + F::sub(F::mul(F::add(ch[0], ch[1]), F::add(d[0], d[1])), ad), + be, + ); + let z = F::add( + F::sub( + F::sub(F::mul(F::add(ch[0], ch[2]), F::add(d[0], d[2])), ad), + cf, + ), + be, + ); F::store(c0_out.add(i), F::add(e0, F::add(ad, F::mul(w_vec, x)))); F::store(c1_out.add(i), F::add(e1, F::add(y, F::mul(w_vec, cf)))); @@ -1635,14 +1688,20 @@ pub fn ext3_soa_reduce_in_place>( let x = F::scalar_sub( F::scalar_sub( - F::scalar_mul(F::scalar_add(challenge[1], challenge[2]), F::scalar_add(d[1], d[2])), + F::scalar_mul( + F::scalar_add(challenge[1], challenge[2]), + F::scalar_add(d[1], d[2]), + ), be, ), cf, ); let y = F::scalar_sub( F::scalar_sub( - F::scalar_mul(F::scalar_add(challenge[0], challenge[1]), F::scalar_add(d[0], d[1])), + F::scalar_mul( + F::scalar_add(challenge[0], challenge[1]), + F::scalar_add(d[0], d[1]), + ), ad, ), be, @@ -1650,7 +1709,10 @@ pub fn ext3_soa_reduce_in_place>( let z = F::scalar_add( F::scalar_sub( F::scalar_sub( - F::scalar_mul(F::scalar_add(challenge[0], challenge[2]), F::scalar_add(d[0], d[2])), + F::scalar_mul( + F::scalar_add(challenge[0], challenge[2]), + F::scalar_add(d[0], d[2]), + ), ad, ), cf, @@ -1688,15 +1750,22 @@ pub fn ext3_soa_reduce_and_evaluate>( // SAFETY: single-threaded ascending iteration is safe in-place. let (even, odd) = unsafe { ext3_soa_reduce_and_evaluate_raw::( - c0.as_ptr(), c1.as_ptr(), c2.as_ptr(), - c0.as_mut_ptr(), c1.as_mut_ptr(), c2.as_mut_ptr(), - n, challenge, w, + c0.as_ptr(), + c1.as_ptr(), + c2.as_ptr(), + c0.as_mut_ptr(), + c1.as_mut_ptr(), + c2.as_mut_ptr(), + n, + challenge, + w, ) }; (even, odd, n) } /// Distinct-buffer version of `ext3_soa_reduce_and_evaluate`. +#[allow(clippy::too_many_arguments)] pub fn ext3_soa_reduce_and_evaluate_into>( src_c0: &[u64], src_c1: &[u64], @@ -1715,9 +1784,15 @@ pub fn ext3_soa_reduce_and_evaluate_into>( debug_assert_eq!(src_c2.len(), 2 * n); unsafe { ext3_soa_reduce_and_evaluate_raw::( - src_c0.as_ptr(), src_c1.as_ptr(), src_c2.as_ptr(), - out_c0.as_mut_ptr(), out_c1.as_mut_ptr(), out_c2.as_mut_ptr(), - n, challenge, w, + src_c0.as_ptr(), + src_c1.as_ptr(), + src_c2.as_ptr(), + out_c0.as_mut_ptr(), + out_c1.as_mut_ptr(), + out_c2.as_mut_ptr(), + n, + challenge, + w, ) } } @@ -1727,6 +1802,7 @@ pub fn ext3_soa_reduce_and_evaluate_into>( /// # Safety /// Same contract as `ext2_soa_reduce_and_evaluate_raw`. #[inline(always)] +#[allow(clippy::too_many_arguments)] unsafe fn ext3_soa_reduce_and_evaluate_raw>( src_c0_ptr: *const u64, src_c1_ptr: *const u64, @@ -1738,7 +1814,11 @@ unsafe fn ext3_soa_reduce_and_evaluate_raw>( challenge: [u64; 3], w: u64, ) -> ([u64; 3], [u64; 3]) { - let ch = [F::splat(challenge[0]), F::splat(challenge[1]), F::splat(challenge[2])]; + let ch = [ + F::splat(challenge[0]), + F::splat(challenge[1]), + F::splat(challenge[2]), + ]; let w_vec = F::splat(w); let lanes = F::LANES; @@ -1761,9 +1841,21 @@ unsafe fn ext3_soa_reduce_and_evaluate_raw>( let be = F::mul(ch[1], d[1]); let cf = F::mul(ch[2], d[2]); - let x = F::sub(F::sub(F::mul(F::add(ch[1], ch[2]), F::add(d[1], d[2])), be), cf); - let y = F::sub(F::sub(F::mul(F::add(ch[0], ch[1]), F::add(d[0], d[1])), ad), be); - let z = F::add(F::sub(F::sub(F::mul(F::add(ch[0], ch[2]), F::add(d[0], d[2])), ad), cf), be); + let x = F::sub( + F::sub(F::mul(F::add(ch[1], ch[2]), F::add(d[1], d[2])), be), + cf, + ); + let y = F::sub( + F::sub(F::mul(F::add(ch[0], ch[1]), F::add(d[0], d[1])), ad), + be, + ); + let z = F::add( + F::sub( + F::sub(F::mul(F::add(ch[0], ch[2]), F::add(d[0], d[2])), ad), + cf, + ), + be, + ); let r0 = F::add(e0, F::add(ad, F::mul(w_vec, x))); let r1 = F::add(e1, F::add(y, F::mul(w_vec, cf))); @@ -1799,8 +1891,11 @@ unsafe fn ext3_soa_reduce_and_evaluate_raw>( for c in 0..3 { F::store(buf.as_mut_ptr(), total[c]); for (j, &v) in buf.iter().enumerate().take(F::LANES) { - if j % 2 == 0 { even[c] = F::scalar_add(even[c], v); } - else { odd[c] = F::scalar_add(odd[c], v); } + if j % 2 == 0 { + even[c] = F::scalar_add(even[c], v); + } else { + odd[c] = F::scalar_add(odd[c], v); + } } } @@ -1813,14 +1908,48 @@ unsafe fn ext3_soa_reduce_and_evaluate_raw>( let a2 = *src_c2_ptr.add(2 * i); let b2 = *src_c2_ptr.add(2 * i + 1); - let d = [F::scalar_sub(b0, a0), F::scalar_sub(b1, a1), F::scalar_sub(b2, a2)]; + let d = [ + F::scalar_sub(b0, a0), + F::scalar_sub(b1, a1), + F::scalar_sub(b2, a2), + ]; let ad = F::scalar_mul(challenge[0], d[0]); let be = F::scalar_mul(challenge[1], d[1]); let cf = F::scalar_mul(challenge[2], d[2]); - let x = F::scalar_sub(F::scalar_sub(F::scalar_mul(F::scalar_add(challenge[1], challenge[2]), F::scalar_add(d[1], d[2])), be), cf); - let y = F::scalar_sub(F::scalar_sub(F::scalar_mul(F::scalar_add(challenge[0], challenge[1]), F::scalar_add(d[0], d[1])), ad), be); - let z = F::scalar_add(F::scalar_sub(F::scalar_sub(F::scalar_mul(F::scalar_add(challenge[0], challenge[2]), F::scalar_add(d[0], d[2])), ad), cf), be); + let x = F::scalar_sub( + F::scalar_sub( + F::scalar_mul( + F::scalar_add(challenge[1], challenge[2]), + F::scalar_add(d[1], d[2]), + ), + be, + ), + cf, + ); + let y = F::scalar_sub( + F::scalar_sub( + F::scalar_mul( + F::scalar_add(challenge[0], challenge[1]), + F::scalar_add(d[0], d[1]), + ), + ad, + ), + be, + ); + let z = F::scalar_add( + F::scalar_sub( + F::scalar_sub( + F::scalar_mul( + F::scalar_add(challenge[0], challenge[2]), + F::scalar_add(d[0], d[2]), + ), + ad, + ), + cf, + ), + be, + ); let r = [ F::scalar_add(a0, F::scalar_add(ad, F::scalar_mul(w, x))), @@ -1831,8 +1960,15 @@ unsafe fn ext3_soa_reduce_and_evaluate_raw>( *out_c1_ptr.add(i) = r[1]; *out_c2_ptr.add(i) = r[2]; - if i % 2 == 0 { for c in 0..3 { even[c] = F::scalar_add(even[c], r[c]); } } - else { for c in 0..3 { odd[c] = F::scalar_add(odd[c], r[c]); } } + if i % 2 == 0 { + for c in 0..3 { + even[c] = F::scalar_add(even[c], r[c]); + } + } else { + for c in 0..3 { + odd[c] = F::scalar_add(odd[c], r[c]); + } + } i += 1; } @@ -1841,6 +1977,7 @@ unsafe fn ext3_soa_reduce_and_evaluate_raw>( /// Parallel fused SoA ext3 reduce + next-round evaluate. #[cfg(feature = "parallel")] +#[allow(clippy::too_many_arguments)] pub fn ext3_soa_reduce_and_evaluate_parallel>( src_c0: &[u64], src_c1: &[u64], @@ -1874,21 +2011,35 @@ pub fn ext3_soa_reduce_and_evaluate_parallel>( &src_c0[2 * start..2 * end], &src_c1[2 * start..2 * end], &src_c2[2 * start..2 * end], - oc0, oc1, oc2, - challenge, w, + oc0, + oc1, + oc2, + challenge, + w, ) }) .reduce( || ([0u64; 3], [0u64; 3]), - |(e1, o1), (e2, o2)| ( - [F::scalar_add(e1[0], e2[0]), F::scalar_add(e1[1], e2[1]), F::scalar_add(e1[2], e2[2])], - [F::scalar_add(o1[0], o2[0]), F::scalar_add(o1[1], o2[1]), F::scalar_add(o1[2], o2[2])], - ), + |(e1, o1), (e2, o2)| { + ( + [ + F::scalar_add(e1[0], e2[0]), + F::scalar_add(e1[1], e2[1]), + F::scalar_add(e1[2], e2[2]), + ], + [ + F::scalar_add(o1[0], o2[0]), + F::scalar_add(o1[1], o2[1]), + F::scalar_add(o1[2], o2[2]), + ], + ) + }, ) } /// Non-parallel fallback. #[cfg(not(feature = "parallel"))] +#[allow(clippy::too_many_arguments)] pub fn ext3_soa_reduce_and_evaluate_parallel>( src_c0: &[u64], src_c1: &[u64], @@ -1927,9 +2078,17 @@ pub fn ext2_soa_product_reduce_and_evaluate>( // SAFETY: single-threaded ascending iteration is safe in-place. let (a, b) = unsafe { ext2_soa_product_reduce_and_evaluate_raw::( - f_c0.as_ptr(), f_c1.as_ptr(), g_c0.as_ptr(), g_c1.as_ptr(), - f_c0.as_mut_ptr(), f_c1.as_mut_ptr(), g_c0.as_mut_ptr(), g_c1.as_mut_ptr(), - half, challenge, w, + f_c0.as_ptr(), + f_c1.as_ptr(), + g_c0.as_ptr(), + g_c1.as_ptr(), + f_c0.as_mut_ptr(), + f_c1.as_mut_ptr(), + g_c0.as_mut_ptr(), + g_c1.as_mut_ptr(), + half, + challenge, + w, ) }; (a, b, half) @@ -1959,11 +2118,17 @@ pub fn ext2_soa_product_reduce_and_evaluate_into> debug_assert_eq!(src_g_c1.len(), 2 * n_out); unsafe { ext2_soa_product_reduce_and_evaluate_raw::( - src_f_c0.as_ptr(), src_f_c1.as_ptr(), - src_g_c0.as_ptr(), src_g_c1.as_ptr(), - out_f_c0.as_mut_ptr(), out_f_c1.as_mut_ptr(), - out_g_c0.as_mut_ptr(), out_g_c1.as_mut_ptr(), - n_out, challenge, w, + src_f_c0.as_ptr(), + src_f_c1.as_ptr(), + src_g_c0.as_ptr(), + src_g_c1.as_ptr(), + out_f_c0.as_mut_ptr(), + out_f_c1.as_mut_ptr(), + out_g_c0.as_mut_ptr(), + out_g_c1.as_mut_ptr(), + n_out, + challenge, + w, ) } } @@ -2024,26 +2189,38 @@ unsafe fn ext2_soa_product_reduce_and_evaluate_raw( - src_f_c0, src_f_c1, src_g_c0, src_g_c1, - out_f_c0, out_f_c1, out_g_c0, out_g_c1, + src_f_c0, src_f_c1, src_g_c0, src_g_c1, out_f_c0, out_f_c1, out_g_c0, out_g_c1, challenge, w, ); } @@ -2146,16 +2354,22 @@ pub fn ext2_soa_product_reduce_and_evaluate_parallel ([u64; 2], [u64; 2]) { ext2_soa_product_reduce_and_evaluate_into::( - src_f_c0, src_f_c1, src_g_c0, src_g_c1, - out_f_c0, out_f_c1, out_g_c0, out_g_c1, - challenge, w, + src_f_c0, src_f_c1, src_g_c0, src_g_c1, out_f_c0, out_f_c1, out_g_c0, out_g_c1, challenge, + w, ) } /// Fused SoA ext3 product evaluate + reduce in a single pass. /// /// Same concept as ext2 fused product kernel but with Karatsuba ext3 multiply. +#[allow(clippy::too_many_arguments)] pub fn ext3_soa_product_reduce_and_evaluate>( f_c0: &mut [u64], f_c1: &mut [u64], @@ -2200,11 +2414,21 @@ pub fn ext3_soa_product_reduce_and_evaluate>( // SAFETY: single-threaded ascending iteration is safe in-place. let (a, b) = unsafe { ext3_soa_product_reduce_and_evaluate_raw::( - f_c0.as_ptr(), f_c1.as_ptr(), f_c2.as_ptr(), - g_c0.as_ptr(), g_c1.as_ptr(), g_c2.as_ptr(), - f_c0.as_mut_ptr(), f_c1.as_mut_ptr(), f_c2.as_mut_ptr(), - g_c0.as_mut_ptr(), g_c1.as_mut_ptr(), g_c2.as_mut_ptr(), - half, challenge, w, + f_c0.as_ptr(), + f_c1.as_ptr(), + f_c2.as_ptr(), + g_c0.as_ptr(), + g_c1.as_ptr(), + g_c2.as_ptr(), + f_c0.as_mut_ptr(), + f_c1.as_mut_ptr(), + f_c2.as_mut_ptr(), + g_c0.as_mut_ptr(), + g_c1.as_mut_ptr(), + g_c2.as_mut_ptr(), + half, + challenge, + w, ) }; (a, b, half) @@ -2232,11 +2456,21 @@ pub fn ext3_soa_product_reduce_and_evaluate_into> debug_assert_eq!(src_f_c0.len(), 2 * n_out); unsafe { ext3_soa_product_reduce_and_evaluate_raw::( - src_f_c0.as_ptr(), src_f_c1.as_ptr(), src_f_c2.as_ptr(), - src_g_c0.as_ptr(), src_g_c1.as_ptr(), src_g_c2.as_ptr(), - out_f_c0.as_mut_ptr(), out_f_c1.as_mut_ptr(), out_f_c2.as_mut_ptr(), - out_g_c0.as_mut_ptr(), out_g_c1.as_mut_ptr(), out_g_c2.as_mut_ptr(), - n_out, challenge, w, + src_f_c0.as_ptr(), + src_f_c1.as_ptr(), + src_f_c2.as_ptr(), + src_g_c0.as_ptr(), + src_g_c1.as_ptr(), + src_g_c2.as_ptr(), + out_f_c0.as_mut_ptr(), + out_f_c1.as_mut_ptr(), + out_f_c2.as_mut_ptr(), + out_g_c0.as_mut_ptr(), + out_g_c1.as_mut_ptr(), + out_g_c2.as_mut_ptr(), + n_out, + challenge, + w, ) } } @@ -2267,7 +2501,11 @@ unsafe fn ext3_soa_product_reduce_and_evaluate_raw(fe, ge, w); - for c in 0..3 { a[c] = F::scalar_add(a[c], pa[c]); } + for c in 0..3 { + a[c] = F::scalar_add(a[c], pa[c]); + } let peg = scalar_ext3_mul::(fe, go_, w); let poe = scalar_ext3_mul::(fo, ge, w); - for c in 0..3 { b[c] = F::scalar_add(b[c], F::scalar_add(peg[c], poe[c])); } + for c in 0..3 { + b[c] = F::scalar_add(b[c], F::scalar_add(peg[c], poe[c])); + } - let fd = [F::scalar_sub(fo[0], fe[0]), F::scalar_sub(fo[1], fe[1]), F::scalar_sub(fo[2], fe[2])]; + let fd = [ + F::scalar_sub(fo[0], fe[0]), + F::scalar_sub(fo[1], fe[1]), + F::scalar_sub(fo[2], fe[2]), + ]; let fp = scalar_ext3_mul::(challenge, fd, w); *out_f_c0.add(i) = F::scalar_add(fe[0], fp[0]); *out_f_c1.add(i) = F::scalar_add(fe[1], fp[1]); *out_f_c2.add(i) = F::scalar_add(fe[2], fp[2]); - let gd = [F::scalar_sub(go_[0], ge[0]), F::scalar_sub(go_[1], ge[1]), F::scalar_sub(go_[2], ge[2])]; + let gd = [ + F::scalar_sub(go_[0], ge[0]), + F::scalar_sub(go_[1], ge[1]), + F::scalar_sub(go_[2], ge[2]), + ]; let gp = scalar_ext3_mul::(challenge, gd, w); *out_g_c0.add(i) = F::scalar_add(ge[0], gp[0]); *out_g_c1.add(i) = F::scalar_add(ge[1], gp[1]); @@ -2377,9 +2647,8 @@ pub fn ext3_soa_product_reduce_and_evaluate_parallel( - src_f_c0, src_f_c1, src_f_c2, src_g_c0, src_g_c1, src_g_c2, - out_f_c0, out_f_c1, out_f_c2, out_g_c0, out_g_c1, out_g_c2, - challenge, w, + src_f_c0, src_f_c1, src_f_c2, src_g_c0, src_g_c1, src_g_c2, out_f_c0, out_f_c1, + out_f_c2, out_g_c0, out_g_c1, out_g_c2, challenge, w, ); } @@ -2401,16 +2670,32 @@ pub fn ext3_soa_product_reduce_and_evaluate_parallel ([u64; 3], [u64; 3]) { ext3_soa_product_reduce_and_evaluate_into::( - src_f_c0, src_f_c1, src_f_c2, src_g_c0, src_g_c1, src_g_c2, - out_f_c0, out_f_c1, out_f_c2, out_g_c0, out_g_c1, out_g_c2, - challenge, w, + src_f_c0, src_f_c1, src_f_c2, src_g_c0, src_g_c1, src_g_c2, out_f_c0, out_f_c1, out_f_c2, + out_g_c0, out_g_c1, out_g_c2, challenge, w, ) } @@ -2636,8 +2920,7 @@ pub fn ext2_soa_product_reduce_only_parallel>( let chunk_pairs = 32_768_usize; if n_out <= chunk_pairs { return ext2_soa_product_reduce_only_into::( - src_f_c0, src_f_c1, src_g_c0, src_g_c1, - out_f_c0, out_f_c1, out_g_c0, out_g_c1, + src_f_c0, src_f_c1, src_g_c0, src_g_c1, out_f_c0, out_f_c1, out_g_c0, out_g_c1, challenge, w, ); } @@ -2655,8 +2938,12 @@ pub fn ext2_soa_product_reduce_only_parallel>( &src_f_c1[2 * start..2 * end], &src_g_c0[2 * start..2 * end], &src_g_c1[2 * start..2 * end], - ofc0, ofc1, ogc0, ogc1, - challenge, w, + ofc0, + ofc1, + ogc0, + ogc1, + challenge, + w, ); }); } @@ -2676,9 +2963,8 @@ pub fn ext2_soa_product_reduce_only_parallel>( w: u64, ) { ext2_soa_product_reduce_only_into::( - src_f_c0, src_f_c1, src_g_c0, src_g_c1, - out_f_c0, out_f_c1, out_g_c0, out_g_c1, - challenge, w, + src_f_c0, src_f_c1, src_g_c0, src_g_c1, out_f_c0, out_f_c1, out_g_c0, out_g_c1, challenge, + w, ) } @@ -2738,13 +3024,21 @@ unsafe fn ext3_soa_product_reduce_only_raw>( // Scalar tail while i < n_out { - let fe = [*src_f_c0.add(2 * i), *src_f_c1.add(2 * i), *src_f_c2.add(2 * i)]; + let fe = [ + *src_f_c0.add(2 * i), + *src_f_c1.add(2 * i), + *src_f_c2.add(2 * i), + ]; let fo = [ *src_f_c0.add(2 * i + 1), *src_f_c1.add(2 * i + 1), *src_f_c2.add(2 * i + 1), ]; - let ge = [*src_g_c0.add(2 * i), *src_g_c1.add(2 * i), *src_g_c2.add(2 * i)]; + let ge = [ + *src_g_c0.add(2 * i), + *src_g_c1.add(2 * i), + *src_g_c2.add(2 * i), + ]; let go_ = [ *src_g_c0.add(2 * i + 1), *src_g_c1.add(2 * i + 1), @@ -2875,9 +3169,8 @@ pub fn ext3_soa_product_reduce_only_parallel>( let chunk_pairs = 32_768_usize; if n_out <= chunk_pairs { return ext3_soa_product_reduce_only_into::( - src_f_c0, src_f_c1, src_f_c2, src_g_c0, src_g_c1, src_g_c2, - out_f_c0, out_f_c1, out_f_c2, out_g_c0, out_g_c1, out_g_c2, - challenge, w, + src_f_c0, src_f_c1, src_f_c2, src_g_c0, src_g_c1, src_g_c2, out_f_c0, out_f_c1, + out_f_c2, out_g_c0, out_g_c1, out_g_c2, challenge, w, ); } @@ -2898,8 +3191,14 @@ pub fn ext3_soa_product_reduce_only_parallel>( &src_g_c0[2 * start..2 * end], &src_g_c1[2 * start..2 * end], &src_g_c2[2 * start..2 * end], - ofc0, ofc1, ofc2, ogc0, ogc1, ogc2, - challenge, w, + ofc0, + ofc1, + ofc2, + ogc0, + ogc1, + ogc2, + challenge, + w, ); }); } @@ -2923,9 +3222,8 @@ pub fn ext3_soa_product_reduce_only_parallel>( w: u64, ) { ext3_soa_product_reduce_only_into::( - src_f_c0, src_f_c1, src_f_c2, src_g_c0, src_g_c1, src_g_c2, - out_f_c0, out_f_c1, out_f_c2, out_g_c0, out_g_c1, out_g_c2, - challenge, w, + src_f_c0, src_f_c1, src_f_c2, src_g_c0, src_g_c1, src_g_c2, out_f_c0, out_f_c1, out_f_c2, + out_g_c0, out_g_c1, out_g_c2, challenge, w, ); } @@ -3056,25 +3354,13 @@ unsafe fn ext3_soa_product_fused_reduce_next_eval_raw( - [fc0_e, fc1_e, fc2_e], - [gc0_e, gc1_e, gc2_e], - w_vec, - ); + let pa = soa_ext3_mul::([fc0_e, fc1_e, fc2_e], [gc0_e, gc1_e, gc2_e], w_vec); acc_a[0] = F::add(acc_a[0], pa[0]); acc_a[1] = F::add(acc_a[1], pa[1]); acc_a[2] = F::add(acc_a[2], pa[2]); - let peg = soa_ext3_mul::( - [fc0_e, fc1_e, fc2_e], - [gc0_o, gc1_o, gc2_o], - w_vec, - ); - let poe = soa_ext3_mul::( - [fc0_o, fc1_o, fc2_o], - [gc0_e, gc1_e, gc2_e], - w_vec, - ); + let peg = soa_ext3_mul::([fc0_e, fc1_e, fc2_e], [gc0_o, gc1_o, gc2_o], w_vec); + let poe = soa_ext3_mul::([fc0_o, fc1_o, fc2_o], [gc0_e, gc1_e, gc2_e], w_vec); acc_b[0] = F::add(acc_b[0], F::add(peg[0], poe[0])); acc_b[1] = F::add(acc_b[1], F::add(peg[1], poe[1])); acc_b[2] = F::add(acc_b[2], F::add(peg[2], poe[2])); @@ -3100,13 +3386,21 @@ unsafe fn ext3_soa_product_fused_reduce_next_eval_raw( - src_f_c0, src_f_c1, src_f_c2, src_g_c0, src_g_c1, src_g_c2, - out_f_c0, out_f_c1, out_f_c2, out_g_c0, out_g_c1, out_g_c2, - challenge, w, + src_f_c0, src_f_c1, src_f_c2, src_g_c0, src_g_c1, src_g_c2, out_f_c0, out_f_c1, + out_f_c2, out_g_c0, out_g_c1, out_g_c2, challenge, w, ); } @@ -3369,8 +3678,14 @@ pub fn ext3_soa_product_fused_reduce_next_eval_parallel ([u64; 3], [u64; 3]) { ext3_soa_product_fused_reduce_next_eval_into::( - src_f_c0, src_f_c1, src_f_c2, src_g_c0, src_g_c1, src_g_c2, - out_f_c0, out_f_c1, out_f_c2, out_g_c0, out_g_c1, out_g_c2, - challenge, w, + src_f_c0, src_f_c1, src_f_c2, src_g_c0, src_g_c1, src_g_c2, out_f_c0, out_f_c1, out_f_c2, + out_g_c0, out_g_c1, out_g_c2, challenge, w, ) } @@ -3477,14 +3791,14 @@ pub fn ext2_soa_product_evaluate>( let p1 = F::mul(fo1, ge1); let m2 = F::mul(F::add(fo0, fo1), F::add(ge0, ge1)); - acc_b0 = F::add(acc_b0, F::add( - F::add(u0, F::mul(w_vec, u1)), - F::add(p0, F::mul(w_vec, p1)), - )); - acc_b1 = F::add(acc_b1, F::add( - F::sub(F::sub(m1, u0), u1), - F::sub(F::sub(m2, p0), p1), - )); + acc_b0 = F::add( + acc_b0, + F::add(F::add(u0, F::mul(w_vec, u1)), F::add(p0, F::mul(w_vec, p1))), + ); + acc_b1 = F::add( + acc_b1, + F::add(F::sub(F::sub(m1, u0), u1), F::sub(F::sub(m2, p0), p1)), + ); } } i += step; @@ -3511,14 +3825,14 @@ pub fn ext2_soa_product_evaluate>( let p1 = F::mul(fo1, ge1); let m2 = F::mul(F::add(fo0, fo1), F::add(ge0, ge1)); - acc_b0 = F::add(acc_b0, F::add( - F::add(u0, F::mul(w_vec, u1)), - F::add(p0, F::mul(w_vec, p1)), - )); - acc_b1 = F::add(acc_b1, F::add( - F::sub(F::sub(m1, u0), u1), - F::sub(F::sub(m2, p0), p1), - )); + acc_b0 = F::add( + acc_b0, + F::add(F::add(u0, F::mul(w_vec, u1)), F::add(p0, F::mul(w_vec, p1))), + ); + acc_b1 = F::add( + acc_b1, + F::add(F::sub(F::sub(m1, u0), u1), F::sub(F::sub(m2, p0), p1)), + ); } i += load_width; } @@ -3529,13 +3843,21 @@ pub fn ext2_soa_product_evaluate>( let mut b = [F::ZERO; 2]; unsafe { F::store(buf.as_mut_ptr(), acc_a0) }; - for &v in buf.iter().take(lanes) { a[0] = F::scalar_add(a[0], v); } + for &v in buf.iter().take(lanes) { + a[0] = F::scalar_add(a[0], v); + } unsafe { F::store(buf.as_mut_ptr(), acc_a1) }; - for &v in buf.iter().take(lanes) { a[1] = F::scalar_add(a[1], v); } + for &v in buf.iter().take(lanes) { + a[1] = F::scalar_add(a[1], v); + } unsafe { F::store(buf.as_mut_ptr(), acc_b0) }; - for &v in buf.iter().take(lanes) { b[0] = F::scalar_add(b[0], v); } + for &v in buf.iter().take(lanes) { + b[0] = F::scalar_add(b[0], v); + } unsafe { F::store(buf.as_mut_ptr(), acc_b1) }; - for &v in buf.iter().take(lanes) { b[1] = F::scalar_add(b[1], v); } + for &v in buf.iter().take(lanes) { + b[1] = F::scalar_add(b[1], v); + } // Scalar tail while i + 1 < n { @@ -3559,14 +3881,20 @@ pub fn ext2_soa_product_evaluate>( let p1 = F::scalar_mul(fo[1], ge[1]); let m2 = F::scalar_mul(F::scalar_add(fo[0], fo[1]), F::scalar_add(ge[0], ge[1])); - b[0] = F::scalar_add(b[0], F::scalar_add( - F::scalar_add(u0, F::scalar_mul(w, u1)), - F::scalar_add(p0, F::scalar_mul(w, p1)), - )); - b[1] = F::scalar_add(b[1], F::scalar_add( - F::scalar_sub(F::scalar_sub(m1, u0), u1), - F::scalar_sub(F::scalar_sub(m2, p0), p1), - )); + b[0] = F::scalar_add( + b[0], + F::scalar_add( + F::scalar_add(u0, F::scalar_mul(w, u1)), + F::scalar_add(p0, F::scalar_mul(w, p1)), + ), + ); + b[1] = F::scalar_add( + b[1], + F::scalar_add( + F::scalar_sub(F::scalar_sub(m1, u0), u1), + F::scalar_sub(F::scalar_sub(m2, p0), p1), + ), + ); i += 2; } @@ -3622,20 +3950,14 @@ pub fn ext3_soa_product_evaluate>( let (ge2, go2) = F::load_deinterleaved(g_c2.as_ptr().add(off)); // a += f_even * g_even (ext3 Karatsuba) - let prod_a = soa_ext3_mul::( - [fe0, fe1, fe2], [ge0, ge1, ge2], w_vec, - ); + let prod_a = soa_ext3_mul::([fe0, fe1, fe2], [ge0, ge1, ge2], w_vec); acc_a[0] = F::add(acc_a[0], prod_a[0]); acc_a[1] = F::add(acc_a[1], prod_a[1]); acc_a[2] = F::add(acc_a[2], prod_a[2]); // b += f_even * g_odd + f_odd * g_even - let prod_eg = soa_ext3_mul::( - [fe0, fe1, fe2], [go0, go1, go2], w_vec, - ); - let prod_oe = soa_ext3_mul::( - [fo0, fo1, fo2], [ge0, ge1, ge2], w_vec, - ); + let prod_eg = soa_ext3_mul::([fe0, fe1, fe2], [go0, go1, go2], w_vec); + let prod_oe = soa_ext3_mul::([fo0, fo1, fo2], [ge0, ge1, ge2], w_vec); acc_b[0] = F::add(acc_b[0], F::add(prod_eg[0], prod_oe[0])); acc_b[1] = F::add(acc_b[1], F::add(prod_eg[1], prod_oe[1])); acc_b[2] = F::add(acc_b[2], F::add(prod_eg[2], prod_oe[2])); @@ -3675,9 +3997,13 @@ pub fn ext3_soa_product_evaluate>( for c in 0..3 { unsafe { F::store(buf.as_mut_ptr(), acc_a[c]) }; - for &v in buf.iter().take(lanes) { a[c] = F::scalar_add(a[c], v); } + for &v in buf.iter().take(lanes) { + a[c] = F::scalar_add(a[c], v); + } unsafe { F::store(buf.as_mut_ptr(), acc_b[c]) }; - for &v in buf.iter().take(lanes) { b[c] = F::scalar_add(b[c], v); } + for &v in buf.iter().take(lanes) { + b[c] = F::scalar_add(b[c], v); + } } // Scalar tail @@ -3688,11 +4014,15 @@ pub fn ext3_soa_product_evaluate>( let go_ = [g_c0[i + 1], g_c1[i + 1], g_c2[i + 1]]; let pa = scalar_ext3_mul::(fe, ge, w); - for c in 0..3 { a[c] = F::scalar_add(a[c], pa[c]); } + for c in 0..3 { + a[c] = F::scalar_add(a[c], pa[c]); + } let peg = scalar_ext3_mul::(fe, go_, w); let poe = scalar_ext3_mul::(fo, ge, w); - for c in 0..3 { b[c] = F::scalar_add(b[c], F::scalar_add(peg[c], poe[c])); } + for c in 0..3 { + b[c] = F::scalar_add(b[c], F::scalar_add(peg[c], poe[c])); + } i += 2; } @@ -3728,11 +4058,7 @@ fn soa_ext3_mul>( be, ); - [ - F::add(ad, F::mul(w, x)), - F::add(y, F::mul(w, cf)), - z, - ] + [F::add(ad, F::mul(w, x)), F::add(y, F::mul(w, cf)), z] } /// Scalar ext3 Karatsuba multiply helper. @@ -3929,8 +4255,7 @@ mod tests { let mut c1 = Vec::with_capacity(n_src); let mut c2 = Vec::with_capacity(n_src); for x in &f { - let bytes: [u64; 3] = - unsafe { *(x as *const F64Ext3 as *const [u64; 3]) }; + let bytes: [u64; 3] = unsafe { *(x as *const F64Ext3 as *const [u64; 3]) }; c0.push(bytes[0]); c1.push(bytes[1]); c2.push(bytes[2]); @@ -3942,8 +4267,7 @@ mod tests { let mut c1 = Vec::with_capacity(n_src); let mut c2 = Vec::with_capacity(n_src); for x in &g { - let bytes: [u64; 3] = - unsafe { *(x as *const F64Ext3 as *const [u64; 3]) }; + let bytes: [u64; 3] = unsafe { *(x as *const F64Ext3 as *const [u64; 3]) }; c0.push(bytes[0]); c1.push(bytes[1]); c2.push(bytes[2]); @@ -3963,19 +4287,41 @@ mod tests { }; // Reference: reduce_only then standalone evaluate on reduced. - let mut ref_out_f = (vec![0u64; n_src / 2], vec![0u64; n_src / 2], vec![0u64; n_src / 2]); - let mut ref_out_g = (vec![0u64; n_src / 2], vec![0u64; n_src / 2], vec![0u64; n_src / 2]); + let mut ref_out_f = ( + vec![0u64; n_src / 2], + vec![0u64; n_src / 2], + vec![0u64; n_src / 2], + ); + let mut ref_out_g = ( + vec![0u64; n_src / 2], + vec![0u64; n_src / 2], + vec![0u64; n_src / 2], + ); ext3_soa_product_reduce_only_into::( - &f_c0, &f_c1, &f_c2, &g_c0, &g_c1, &g_c2, - &mut ref_out_f.0, &mut ref_out_f.1, &mut ref_out_f.2, - &mut ref_out_g.0, &mut ref_out_g.1, &mut ref_out_g.2, - chg, w, + &f_c0, + &f_c1, + &f_c2, + &g_c0, + &g_c1, + &g_c2, + &mut ref_out_f.0, + &mut ref_out_f.1, + &mut ref_out_f.2, + &mut ref_out_g.0, + &mut ref_out_g.1, + &mut ref_out_g.2, + chg, + w, ); // Next-round evaluate: only defined when n_out ≥ 2. let (ref_a, ref_b) = if n_src / 2 >= 2 { ext3_soa_product_evaluate::( - &ref_out_f.0, &ref_out_f.1, &ref_out_f.2, - &ref_out_g.0, &ref_out_g.1, &ref_out_g.2, + &ref_out_f.0, + &ref_out_f.1, + &ref_out_f.2, + &ref_out_g.0, + &ref_out_g.1, + &ref_out_g.2, w, ) } else { @@ -3983,13 +4329,31 @@ mod tests { }; // Under test: fused kernel. - let mut got_out_f = (vec![0u64; n_src / 2], vec![0u64; n_src / 2], vec![0u64; n_src / 2]); - let mut got_out_g = (vec![0u64; n_src / 2], vec![0u64; n_src / 2], vec![0u64; n_src / 2]); + let mut got_out_f = ( + vec![0u64; n_src / 2], + vec![0u64; n_src / 2], + vec![0u64; n_src / 2], + ); + let mut got_out_g = ( + vec![0u64; n_src / 2], + vec![0u64; n_src / 2], + vec![0u64; n_src / 2], + ); let (got_a, got_b) = ext3_soa_product_fused_reduce_next_eval_into::( - &f_c0, &f_c1, &f_c2, &g_c0, &g_c1, &g_c2, - &mut got_out_f.0, &mut got_out_f.1, &mut got_out_f.2, - &mut got_out_g.0, &mut got_out_g.1, &mut got_out_g.2, - chg, w, + &f_c0, + &f_c1, + &f_c2, + &g_c0, + &g_c1, + &g_c2, + &mut got_out_f.0, + &mut got_out_f.1, + &mut got_out_f.2, + &mut got_out_g.0, + &mut got_out_g.1, + &mut got_out_g.2, + chg, + w, ); assert_eq!(got_out_f.0, ref_out_f.0, "f_c0 mismatch (n_src={})", n_src); @@ -4004,4 +4368,125 @@ mod tests { } } } + + /// Microbench: fused reduce+next-eval vs (reduce_only + standalone + /// evaluate). Run with: + /// + /// cargo test --release --lib bench_ext3_fused -- --ignored --nocapture + #[test] + #[ignore] + fn bench_ext3_fused_vs_separate() { + use crate::tests::F64Ext3; + use ark_ff::UniformRand; + use std::time::Instant; + + let mut rng = test_rng(); + for num_vars in [16usize, 18, 20, 22, 24] { + let n_src = 1usize << num_vars; + let f: Vec = (0..n_src).map(|_| F64Ext3::rand(&mut rng)).collect(); + let g: Vec = (0..n_src).map(|_| F64Ext3::rand(&mut rng)).collect(); + let (f_c0, f_c1, f_c2): (Vec, Vec, Vec) = { + let mut c0 = Vec::with_capacity(n_src); + let mut c1 = Vec::with_capacity(n_src); + let mut c2 = Vec::with_capacity(n_src); + for x in &f { + let bytes: [u64; 3] = unsafe { *(x as *const F64Ext3 as *const [u64; 3]) }; + c0.push(bytes[0]); + c1.push(bytes[1]); + c2.push(bytes[2]); + } + (c0, c1, c2) + }; + let (g_c0, g_c1, g_c2): (Vec, Vec, Vec) = { + let mut c0 = Vec::with_capacity(n_src); + let mut c1 = Vec::with_capacity(n_src); + let mut c2 = Vec::with_capacity(n_src); + for x in &g { + let bytes: [u64; 3] = unsafe { *(x as *const F64Ext3 as *const [u64; 3]) }; + c0.push(bytes[0]); + c1.push(bytes[1]); + c2.push(bytes[2]); + } + (c0, c1, c2) + }; + + let chg: [u64; 3] = { + let c = F64Ext3::rand(&mut rng); + unsafe { *(&c as *const F64Ext3 as *const [u64; 3]) } + }; + let w: u64 = { + let nr = F64Ext3::rand(&mut rng); + unsafe { *(&nr as *const F64Ext3 as *const u64) } + }; + + // SEPARATE: reduce_only + standalone evaluate + let mut out_f = ( + vec![0u64; n_src / 2], + vec![0u64; n_src / 2], + vec![0u64; n_src / 2], + ); + let mut out_g = ( + vec![0u64; n_src / 2], + vec![0u64; n_src / 2], + vec![0u64; n_src / 2], + ); + let t0 = Instant::now(); + ext3_soa_product_reduce_only_into::( + &f_c0, + &f_c1, + &f_c2, + &g_c0, + &g_c1, + &g_c2, + &mut out_f.0, + &mut out_f.1, + &mut out_f.2, + &mut out_g.0, + &mut out_g.1, + &mut out_g.2, + chg, + w, + ); + let _ = ext3_soa_product_evaluate::( + &out_f.0, &out_f.1, &out_f.2, &out_g.0, &out_g.1, &out_g.2, w, + ); + let t_sep = t0.elapsed(); + + // FUSED: reduce + next-eval in one pass + let mut out_f = ( + vec![0u64; n_src / 2], + vec![0u64; n_src / 2], + vec![0u64; n_src / 2], + ); + let mut out_g = ( + vec![0u64; n_src / 2], + vec![0u64; n_src / 2], + vec![0u64; n_src / 2], + ); + let t0 = Instant::now(); + let _ = ext3_soa_product_fused_reduce_next_eval_into::( + &f_c0, + &f_c1, + &f_c2, + &g_c0, + &g_c1, + &g_c2, + &mut out_f.0, + &mut out_f.1, + &mut out_f.2, + &mut out_g.0, + &mut out_g.1, + &mut out_g.2, + chg, + w, + ); + let t_fused = t0.elapsed(); + + let ratio = t_sep.as_secs_f64() / t_fused.as_secs_f64(); + println!( + "num_vars={:>2} n=2^{num_vars} separate={:>10.3?} fused={:>10.3?} speedup={:.2}x", + num_vars, t_sep, t_fused, ratio + ); + } + } } diff --git a/tests/inner_product_sumcheck.rs b/tests/inner_product_sumcheck.rs index 0db0eb85..fffd4a27 100644 --- a/tests/inner_product_sumcheck.rs +++ b/tests/inner_product_sumcheck.rs @@ -101,13 +101,8 @@ fn test_partial_split_matches_full() { let mut b = b_orig.clone(); let mut split_rng = rng(); let mut t_split = SanityTranscript::new(&mut split_rng); - let first = inner_product_sumcheck_partial_with_hook( - &mut a, - &mut b, - &mut t_split, - split_at, - |_, _| {}, - ); + let first = + inner_product_sumcheck_partial_with_hook(&mut a, &mut b, &mut t_split, split_at, |_, _| {}); let second = inner_product_sumcheck_partial_with_hook( &mut a, &mut b, @@ -322,8 +317,14 @@ fn test_fused_matches_unfused_reference_pow2() { let fused = inner_product_sumcheck(&mut a, &mut b, &mut t); assert_eq!(fused.prover_messages, ref_result.prover_messages, "n={n}"); - assert_eq!(fused.verifier_messages, ref_result.verifier_messages, "n={n}"); - assert_eq!(fused.final_evaluations, ref_result.final_evaluations, "n={n}"); + assert_eq!( + fused.verifier_messages, ref_result.verifier_messages, + "n={n}" + ); + assert_eq!( + fused.final_evaluations, ref_result.final_evaluations, + "n={n}" + ); } } @@ -343,8 +344,14 @@ fn test_fused_matches_unfused_reference_non_pow2() { let fused = inner_product_sumcheck(&mut a, &mut b, &mut t); assert_eq!(fused.prover_messages, ref_result.prover_messages, "n={n}"); - assert_eq!(fused.verifier_messages, ref_result.verifier_messages, "n={n}"); - assert_eq!(fused.final_evaluations, ref_result.final_evaluations, "n={n}"); + assert_eq!( + fused.verifier_messages, ref_result.verifier_messages, + "n={n}" + ); + assert_eq!( + fused.final_evaluations, ref_result.final_evaluations, + "n={n}" + ); } } diff --git a/tests/multilinear_sumcheck.rs b/tests/multilinear_sumcheck.rs index 079c8dc9..ae1ee7f0 100644 --- a/tests/multilinear_sumcheck.rs +++ b/tests/multilinear_sumcheck.rs @@ -93,8 +93,7 @@ fn test_partial_split_matches_full() { let mut v = v_orig.clone(); let mut split_rng = rng(); let mut t_split = SanityTranscript::new(&mut split_rng); - let first = - multilinear_sumcheck_partial_with_hook(&mut v, &mut t_split, split_at, |_, _| {}); + let first = multilinear_sumcheck_partial_with_hook(&mut v, &mut t_split, split_at, |_, _| {}); let second = multilinear_sumcheck_partial_with_hook( &mut v, &mut t_split, @@ -274,7 +273,10 @@ fn test_fused_matches_unfused_reference_pow2() { let fused = multilinear_sumcheck(&mut v, &mut t); assert_eq!(fused.prover_messages, ref_result.prover_messages, "n={n}"); - assert_eq!(fused.verifier_messages, ref_result.verifier_messages, "n={n}"); + assert_eq!( + fused.verifier_messages, ref_result.verifier_messages, + "n={n}" + ); assert_eq!(fused.final_evaluation, ref_result.final_evaluation, "n={n}"); } } @@ -293,7 +295,10 @@ fn test_fused_matches_unfused_reference_non_pow2() { let fused = multilinear_sumcheck(&mut v, &mut t); assert_eq!(fused.prover_messages, ref_result.prover_messages, "n={n}"); - assert_eq!(fused.verifier_messages, ref_result.verifier_messages, "n={n}"); + assert_eq!( + fused.verifier_messages, ref_result.verifier_messages, + "n={n}" + ); assert_eq!(fused.final_evaluation, ref_result.final_evaluation, "n={n}"); } } From c1e73c368d79e78b2b535d335b6c6b342040fa32 Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Thu, 16 Apr 2026 18:15:29 +0200 Subject: [PATCH 46/52] clippy --- .claude/settings.json | 3 ++- src/simd_sumcheck/dispatch.rs | 4 ++++ src/simd_sumcheck/reduce.rs | 36 +++++++++++++++++++++++++++++++---- 3 files changed, 38 insertions(+), 5 deletions(-) diff --git a/.claude/settings.json b/.claude/settings.json index 5f38501b..0fac5bef 100644 --- a/.claude/settings.json +++ b/.claude/settings.json @@ -5,7 +5,8 @@ "Bash(tee /tmp/fused_bench.log)", "Bash(tee /tmp/fused_bench_vectorized_mul.log)", "Read(//Users/zitek/Desktop/**)", - "Bash(ssh -i ~/Desktop/bench-epfl.pem -o StrictHostKeyChecking=accept-new -o ConnectTimeout=10 ec2-user@ec2-18-193-83-29.eu-central-1.compute.amazonaws.com 'ls ~/src && pwd && echo \"OK\"')" + "Bash(ssh -i ~/Desktop/bench-epfl.pem -o StrictHostKeyChecking=accept-new -o ConnectTimeout=10 ec2-user@ec2-18-193-83-29.eu-central-1.compute.amazonaws.com 'ls ~/src && pwd && echo \"OK\"')", + "Bash(rustup target *)" ] } } diff --git a/src/simd_sumcheck/dispatch.rs b/src/simd_sumcheck/dispatch.rs index d3a9f8c7..e218ca84 100644 --- a/src/simd_sumcheck/dispatch.rs +++ b/src/simd_sumcheck/dispatch.rs @@ -975,6 +975,10 @@ pub(crate) fn try_simd_ext_fused_reduce_evaluate( None } +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] #[allow(dead_code)] pub(crate) fn try_simd_ext_reduce(evals: &mut Vec, challenge: EF) -> bool { if !is_goldilocks_based::() { diff --git a/src/simd_sumcheck/reduce.rs b/src/simd_sumcheck/reduce.rs index 9d5211a4..05ee1ff3 100644 --- a/src/simd_sumcheck/reduce.rs +++ b/src/simd_sumcheck/reduce.rs @@ -544,6 +544,13 @@ pub fn ext2_reduce_parallel(src: &[u64], challenge: [u64; 2], w: u64) -> Vec Vec { let ext_deg = 2; let n_elems = src.len() / ext_deg; @@ -585,7 +592,7 @@ fn ext2_reduce_chunk(src: &[u64], challenge: [u64; 2], w: u64) -> Vec { } } - #[cfg(not(target_arch = "aarch64"))] + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] { use crate::simd_fields::goldilocks::avx512::{ ext2_reduce_8pairs, ext2_scalar_mul, GoldilocksAvx512, @@ -856,6 +863,13 @@ pub fn product_reduce_and_evaluate( } #[allow(dead_code)] +#[cfg_attr( + not(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") + )), + allow(unused_variables) +)] pub fn ext2_reduce_in_place>( src: &mut [u64], challenge: [u64; 2], @@ -913,7 +927,7 @@ pub fn ext2_reduce_in_place>( } } - #[cfg(not(target_arch = "aarch64"))] + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] { use crate::simd_fields::goldilocks::avx512::{ ext2_reduce_8pairs, ext2_scalar_mul, GoldilocksAvx512, @@ -997,6 +1011,13 @@ pub fn ext3_reduce_parallel(src: &[u64], challenge: [u64; 3], w: u64) -> Vec Vec { let ext_deg = 3; let n_elems = src.len() / ext_deg; @@ -1024,7 +1045,7 @@ fn ext3_reduce_chunk(src: &[u64], challenge: [u64; 3], w: u64) -> Vec { } } - #[cfg(not(target_arch = "aarch64"))] + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] { use crate::simd_fields::goldilocks::avx512::{ ext3_reduce_8pairs, ext3_scalar_mul, GoldilocksAvx512, @@ -1078,6 +1099,13 @@ fn ext3_reduce_chunk(src: &[u64], challenge: [u64; 3], w: u64) -> Vec { /// Degree-3 extension reduce in-place (single-threaded, for small inputs). #[allow(dead_code)] +#[cfg_attr( + not(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") + )), + allow(unused_variables) +)] pub fn ext3_reduce_in_place>( src: &mut [u64], challenge: [u64; 3], @@ -1108,7 +1136,7 @@ pub fn ext3_reduce_in_place>( } } - #[cfg(not(target_arch = "aarch64"))] + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] { use crate::simd_fields::goldilocks::avx512::{ ext3_reduce_8pairs, ext3_scalar_mul, GoldilocksAvx512, From d85aa24e417ac391d6bb47ecd067d8cc727c9064 Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Fri, 17 Apr 2026 22:18:45 +0200 Subject: [PATCH 47/52] cleanup --- .claude/settings.json | 10 +- src/inner_product_sumcheck.rs | 36 +- src/lib.rs | 11 +- src/multilinear_sumcheck.rs | 30 +- src/simd_fields/goldilocks/neon.rs | 189 -- src/simd_ops.rs | 236 -- src/simd_sumcheck/dispatch.rs | 1341 ---------- src/simd_sumcheck/reduce.rs | 3919 +--------------------------- 8 files changed, 163 insertions(+), 5609 deletions(-) diff --git a/.claude/settings.json b/.claude/settings.json index 0fac5bef..84851e1c 100644 --- a/.claude/settings.json +++ b/.claude/settings.json @@ -1,12 +1,10 @@ { "permissions": { "allow": [ - "Bash(tee /tmp/final_bench.log)", - "Bash(tee /tmp/fused_bench.log)", - "Bash(tee /tmp/fused_bench_vectorized_mul.log)", - "Read(//Users/zitek/Desktop/**)", - "Bash(ssh -i ~/Desktop/bench-epfl.pem -o StrictHostKeyChecking=accept-new -o ConnectTimeout=10 ec2-user@ec2-18-193-83-29.eu-central-1.compute.amazonaws.com 'ls ~/src && pwd && echo \"OK\"')", - "Bash(rustup target *)" + "Bash(*)", + "Read(*)", + "Write(*)", + "Edit(*)" ] } } diff --git a/src/inner_product_sumcheck.rs b/src/inner_product_sumcheck.rs index b157ab35..d6d1d143 100644 --- a/src/inner_product_sumcheck.rs +++ b/src/inner_product_sumcheck.rs @@ -290,7 +290,7 @@ pub fn fused_fold_and_compute_polynomial( /// On return, if `num_rounds == log2(next_pow2(len))` then `a` and `b` have /// length 1 and `final_evaluations = (a[0], b[0])`; otherwise /// `(F::ZERO, F::ZERO)`. -pub fn inner_product_sumcheck_partial_with_hook( +pub fn inner_product_sumcheck_partial( a: &mut Vec, b: &mut Vec, transcript: &mut T, @@ -351,7 +351,7 @@ where } /// Full sumcheck (`log2(next_pow2(len))` rounds) with a per-round hook. -pub fn inner_product_sumcheck_with_hook( +pub fn inner_product_sumcheck( a: &mut Vec, b: &mut Vec, transcript: &mut T, @@ -367,31 +367,18 @@ where } else { a.len().next_power_of_two().trailing_zeros() as usize }; - inner_product_sumcheck_partial_with_hook(a, b, transcript, num_rounds, hook) -} - -/// Full sumcheck with no per-round hook. -pub fn inner_product_sumcheck( - a: &mut Vec, - b: &mut Vec, - transcript: &mut T, -) -> ProductSumcheck -where - F: Field, - T: Transcript, -{ - inner_product_sumcheck_with_hook(a, b, transcript, |_, _| {}) + inner_product_sumcheck_partial(a, b, transcript, num_rounds, hook) } // ─── Verifier ─────────────────────────────────────────────────────────────── -/// Verifier side of [`inner_product_sumcheck_with_hook`]. +/// Verifier side of [`inner_product_sumcheck`]. /// /// Reads `(c0, c2)` per round, derives `c1 = sum − 2·c0 − c2`, calls /// `hook(round, transcript)`, reads the challenge, and updates `sum` by /// Horner evaluation `(c2·r + c1)·r + c0`. Returns the sampled challenges; /// `*sum` is the claim reduced to the final folded point. -pub fn inner_product_sumcheck_verify_with_hook( +pub fn inner_product_sumcheck_verify( transcript: &mut T, sum: &mut F, num_rounds: usize, @@ -417,19 +404,6 @@ where res } -/// Convenience wrapper over [`inner_product_sumcheck_verify_with_hook`] with no hook. -pub fn inner_product_sumcheck_verify( - transcript: &mut T, - sum: &mut F, - num_rounds: usize, -) -> Vec -where - F: Field, - T: Transcript, -{ - inner_product_sumcheck_verify_with_hook(transcript, sum, num_rounds, |_, _| {}) -} - // Tests live in `tests/inner_product_sumcheck.rs` (integration target) — // the lib-test target is blocked by unrelated modules with stale // `domain_separator!` syntax. diff --git a/src/lib.rs b/src/lib.rs index 827b62a1..edf84e13 100644 --- a/src/lib.rs +++ b/src/lib.rs @@ -21,6 +21,9 @@ //! Fiat-Shamir, or [`SanityTranscript`](transcript::SanityTranscript) for //! testing with seeded random challenges. //! +//! Every entry point takes a per-round `hook: FnMut(round, &mut transcript)` +//! argument. Pass `|_, _| {}` when no hook is needed. +//! //! ## Layout note //! //! The half-split (MSB) layout folds the top-most remaining variable each @@ -37,13 +40,11 @@ mod inner_product_sumcheck; mod multilinear_sumcheck; pub use inner_product_sumcheck::{ - inner_product_sumcheck, inner_product_sumcheck_partial_with_hook, - inner_product_sumcheck_verify, inner_product_sumcheck_verify_with_hook, - inner_product_sumcheck_with_hook, ProductSumcheck, + inner_product_sumcheck, inner_product_sumcheck_partial, inner_product_sumcheck_verify, + ProductSumcheck, }; pub use multilinear_sumcheck::{ - multilinear_sumcheck, multilinear_sumcheck_partial_with_hook, multilinear_sumcheck_verify, - multilinear_sumcheck_verify_with_hook, multilinear_sumcheck_with_hook, Sumcheck, + multilinear_sumcheck, multilinear_sumcheck_partial, multilinear_sumcheck_verify, Sumcheck, }; // ─── Internal / Advanced ───────────────────────────────────────────────────── diff --git a/src/multilinear_sumcheck.rs b/src/multilinear_sumcheck.rs index 8fdb5fa7..d0aa106d 100644 --- a/src/multilinear_sumcheck.rs +++ b/src/multilinear_sumcheck.rs @@ -228,7 +228,7 @@ pub fn fused_fold_and_compute_polynomial(values: &mut Vec, weight: /// /// On return, if `num_rounds == log2(next_pow2(len))` then `values.len() == 1` /// and `final_evaluation = values[0]`; otherwise `F::ZERO`. -pub fn multilinear_sumcheck_partial_with_hook( +pub fn multilinear_sumcheck_partial( values: &mut Vec, transcript: &mut T, num_rounds: usize, @@ -285,7 +285,7 @@ where } /// Full sumcheck (`log2(next_pow2(len))` rounds) with a per-round hook. -pub fn multilinear_sumcheck_with_hook( +pub fn multilinear_sumcheck( values: &mut Vec, transcript: &mut T, hook: H, @@ -300,16 +300,7 @@ where } else { values.len().next_power_of_two().trailing_zeros() as usize }; - multilinear_sumcheck_partial_with_hook(values, transcript, num_rounds, hook) -} - -/// Full sumcheck with no per-round hook. -pub fn multilinear_sumcheck(values: &mut Vec, transcript: &mut T) -> Sumcheck -where - F: Field, - T: Transcript, -{ - multilinear_sumcheck_with_hook(values, transcript, |_, _| {}) + multilinear_sumcheck_partial(values, transcript, num_rounds, hook) } // ─── Verifier ─────────────────────────────────────────────────────────────── @@ -319,7 +310,7 @@ where /// `*sum = s0 + r·(s1 − s0)`. Returns the sampled challenges. /// /// Panics if the consistency check fails. -pub fn multilinear_sumcheck_verify_with_hook( +pub fn multilinear_sumcheck_verify( transcript: &mut T, sum: &mut F, num_rounds: usize, @@ -345,17 +336,4 @@ where res } -/// Convenience wrapper over [`multilinear_sumcheck_verify_with_hook`] with no hook. -pub fn multilinear_sumcheck_verify( - transcript: &mut T, - sum: &mut F, - num_rounds: usize, -) -> Vec -where - F: Field, - T: Transcript, -{ - multilinear_sumcheck_verify_with_hook(transcript, sum, num_rounds, |_, _| {}) -} - // Tests live in `tests/multilinear_sumcheck.rs` (integration target). diff --git a/src/simd_fields/goldilocks/neon.rs b/src/simd_fields/goldilocks/neon.rs index 2577d431..c391ef95 100644 --- a/src/simd_fields/goldilocks/neon.rs +++ b/src/simd_fields/goldilocks/neon.rs @@ -179,124 +179,6 @@ fn mont_mul(a: u64, b: u64) -> u64 { result } -/// NEON-vectorized paired Montgomery multiply for two Goldilocks elements. -/// -/// Input `a`, `b` each hold two u64 operands in Montgomery form. Returns -/// `[mont_mul(a[0], b[0]), mont_mul(a[1], b[1])]`. -/// -/// 64×64→128 via four parallel `vmull_u32` instructions (each does 2 lanes -/// of 32×32→64), then CIOS Montgomery reduction using a second batch of -/// `vmull_u32`s for `k·P`. Two full Montgomery mults in ~20 NEON -/// instructions total. -/// -/// **NOT currently wired into `F::mul`** on Apple Silicon: the scalar- -/// wrapped path (`(a as u128) * (b as u128)`, compiled to MUL+UMULH) is -/// faster on M-series because the scalar integer pipeline is very wide. -/// Kept here for reference + testing; plausibly wins on other ARM cores -/// (Graviton, Neoverse, Cortex-A78 and earlier) where scalar 64×64→128 is -/// more expensive. Bench before swapping in. -#[inline(always)] -#[allow(dead_code)] -unsafe fn mont_mul_pair(a: uint64x2_t, b: uint64x2_t) -> uint64x2_t { - // ── Step 1: full 64×64→128 via schoolbook 32-bit partial products ── - let a_lo32 = vmovn_u64(a); - let a_hi32 = vshrn_n_u64::<32>(a); - let b_lo32 = vmovn_u64(b); - let b_hi32 = vshrn_n_u64::<32>(b); - - let ll = vmull_u32(a_lo32, b_lo32); - let lh = vmull_u32(a_lo32, b_hi32); - let hl = vmull_u32(a_hi32, b_lo32); - let hh = vmull_u32(a_hi32, b_hi32); - - // Combine: full_128 = ll + (lh + hl) << 32 + hh << 64. - // lh + hl may overflow u64; track the carry bit. - let mid_lo = vaddq_u64(lh, hl); - let mid_overflow = vcltq_u64(mid_lo, lh); - let mid_carry = vshrq_n_u64::<63>(mid_overflow); - - // (mid << 32) split into (lo64, hi64): - // lo64 = mid_lo << 32 (mod 2^64) - // hi64 = (mid_lo >> 32) | (mid_carry << 32) - let shifted_lo = vshlq_n_u64::<32>(mid_lo); - let shifted_hi = vorrq_u64(vshrq_n_u64::<32>(mid_lo), vshlq_n_u64::<32>(mid_carry)); - - // full_lo = ll + shifted_lo (with carry to full_hi) - let full_lo = vaddq_u64(ll, shifted_lo); - let full_lo_overflow = vcltq_u64(full_lo, ll); - let full_lo_carry = vshrq_n_u64::<63>(full_lo_overflow); - - // full_hi = hh + shifted_hi + full_lo_carry. No further overflow - // because (a*b) < 2^128 by construction, so full_hi < 2^64. - let full_hi = vaddq_u64(vaddq_u64(hh, shifted_hi), full_lo_carry); - - // ── Step 2: k = (full_lo * INV) mod 2^64 ── - // Only low 64 bits needed. 3 partial products suffice; the hh term - // contributes to bits ≥ 64 and is dropped. - let inv_vec = vdupq_n_u64(INV); - let fl_lo32 = vmovn_u64(full_lo); - let fl_hi32 = vshrn_n_u64::<32>(full_lo); - let inv_lo32 = vmovn_u64(inv_vec); - let inv_hi32 = vshrn_n_u64::<32>(inv_vec); - - let k_ll = vmull_u32(fl_lo32, inv_lo32); - let k_lh = vmull_u32(fl_lo32, inv_hi32); - let k_hl = vmull_u32(fl_hi32, inv_lo32); - - // k = k_ll + ((k_lh + k_hl) << 32) mod 2^64. - let k_mid = vaddq_u64(k_lh, k_hl); - let k = vaddq_u64(k_ll, vshlq_n_u64::<32>(k_mid)); - - // ── Step 3: t = k * P (128-bit) via partial products ── - // P = 2^64 − 2^32 + 1 → P.lo32 = 1, P.hi32 = 0xFFFFFFFF. - let p_lo32 = vdup_n_u32(1u32); - let p_hi32 = vdup_n_u32(0xFFFFFFFFu32); - let k_lo32 = vmovn_u64(k); - let k_hi32 = vshrn_n_u64::<32>(k); - - let t_ll = vmull_u32(k_lo32, p_lo32); - let t_lh = vmull_u32(k_lo32, p_hi32); - let t_hl = vmull_u32(k_hi32, p_lo32); - let t_hh = vmull_u32(k_hi32, p_hi32); - - let t_mid_lo = vaddq_u64(t_lh, t_hl); - let t_mid_overflow = vcltq_u64(t_mid_lo, t_lh); - let t_mid_carry = vshrq_n_u64::<63>(t_mid_overflow); - - let t_shifted_lo = vshlq_n_u64::<32>(t_mid_lo); - let t_shifted_hi = vorrq_u64(vshrq_n_u64::<32>(t_mid_lo), vshlq_n_u64::<32>(t_mid_carry)); - - let t_lo = vaddq_u64(t_ll, t_shifted_lo); - let t_lo_overflow = vcltq_u64(t_lo, t_ll); - let t_lo_carry = vshrq_n_u64::<63>(t_lo_overflow); - - let t_hi = vaddq_u64(vaddq_u64(t_hh, t_shifted_hi), t_lo_carry); - - // ── Step 4: result = (full + t) >> 64 ── - // By construction of k, (full_lo + t_lo) ≡ 0 (mod 2^64), so the - // only information from the low 64 bits is the carry. - let sum_lo = vaddq_u64(full_lo, t_lo); - let sum_lo_overflow = vcltq_u64(sum_lo, full_lo); - let sum_lo_carry = vshrq_n_u64::<63>(sum_lo_overflow); - - // result = full_hi + t_hi + sum_lo_carry. Can overflow u64 — track it. - let result_tmp = vaddq_u64(full_hi, t_hi); - let result_tmp_overflow = vcltq_u64(result_tmp, full_hi); - let result = vaddq_u64(result_tmp, sum_lo_carry); - let result_overflow = vcltq_u64(result, result_tmp); - - // Final overflow mask: either tmp overflowed, or the +carry overflowed. - let total_overflow = vorrq_u64(result_tmp_overflow, result_overflow); - - // ── Step 5: final reduction, if overflowed or result ≥ P, subtract P ── - let p_vec = vdupq_n_u64(P); - let result_ge_p = vcgeq_u64(result, p_vec); - let need_sub = vorrq_u64(total_overflow, result_ge_p); - let result_sub = vsubq_u64(result, p_vec); - - vbslq_u64(need_sub, result_sub, result) -} - // ── Extension field SIMD multiply functions ───────────────────────────────── // // These are free functions rather than trait impls because the nonresidue @@ -627,75 +509,4 @@ mod tests { assert_eq!(r_out[1][0], scalar_result[1], "ext2 NEON c1 mismatch"); } } - - /// Fuzz `mont_mul_pair` against the scalar `mont_mul` reference. - #[test] - fn mont_mul_pair_matches_scalar() { - use ark_std::{rand::Rng, test_rng}; - - let mut rng = test_rng(); - - // Deterministic corner cases first. - let corners: [u64; 10] = [ - 0, - 1, - MONT_ONE, - P - 1, - P, - 0xFFFFFFFF_FFFFFFFF, - 0x8000_0000_0000_0000, - 0x7FFF_FFFF_FFFF_FFFF, - EPSILON, - INV, - ]; - - let mut check = |a0: u64, b0: u64, a1: u64, b1: u64| { - // Operate on (mod P) reduced inputs — NEON backend expects - // canonical Montgomery-form values in [0, P). - let a0 = a0 % P; - let b0 = b0 % P; - let a1 = a1 % P; - let b1 = b1 % P; - - let buf_a = [a0, a1]; - let buf_b = [b0, b1]; - let a_v = unsafe { vld1q_u64(buf_a.as_ptr()) }; - let b_v = unsafe { vld1q_u64(buf_b.as_ptr()) }; - - let r_v = unsafe { mont_mul_pair(a_v, b_v) }; - let mut r_out = [0u64; 2]; - unsafe { vst1q_u64(r_out.as_mut_ptr(), r_v) }; - - let ref0 = mont_mul(a0, b0); - let ref1 = mont_mul(a1, b1); - assert_eq!( - r_out[0], ref0, - "lane 0 mismatch: a={:016x} b={:016x} neon={:016x} ref={:016x}", - a0, b0, r_out[0], ref0 - ); - assert_eq!( - r_out[1], ref1, - "lane 1 mismatch: a={:016x} b={:016x} neon={:016x} ref={:016x}", - a1, b1, r_out[1], ref1 - ); - }; - - // All corner × corner combinations (lane 0 only; lane 1 = random). - for &a in corners.iter() { - for &b in corners.iter() { - let a1: u64 = rng.gen(); - let b1: u64 = rng.gen(); - check(a, b, a1, b1); - } - } - - // Fuzz 10k random pairs. - for _ in 0..10_000 { - let a0: u64 = rng.gen(); - let b0: u64 = rng.gen(); - let a1: u64 = rng.gen(); - let b1: u64 = rng.gen(); - check(a0, b0, a1, b1); - } - } } diff --git a/src/simd_ops.rs b/src/simd_ops.rs index 4bffdb6d..de2c6607 100644 --- a/src/simd_ops.rs +++ b/src/simd_ops.rs @@ -252,245 +252,9 @@ fn try_simd_product_sum(f: &[F], g: &[F]) -> Option<(F, F)> { return Some((u64_to_field_pub(a), u64_to_field_pub(b))); } - // Ext2/ext3 path: AVX-512 only for now. NEON regresses on ext3 product - // because it has no true vector 64×64 multiply — the SIMD wrapper adds - // overhead without compute gain. Re-enable for NEON once a scalar-direct - // path exists. - #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] - { - use crate::simd_sumcheck::dispatch::is_goldilocks_based_pub; - if is_goldilocks_based_pub::() - && core::mem::size_of::() - == (F::extension_degree() as usize) * core::mem::size_of::() - { - let d = F::extension_degree() as usize; - if d == 2 { - return Some(simd_ext2_product_sum::(f, g)); - } else if d == 3 { - return Some(simd_ext3_product_sum::(f, g)); - } - } - } - None } -#[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] -const EXT_PRODUCT_CHUNK: usize = 1 << 14; // pairs per rayon chunk - -/// Below this input size, `simd_ext{2,3}_product_sum` skips rayon entirely -/// and runs sequentially. Rayon's fork/join overhead dominates actual SIMD -/// compute for small inputs (profiling showed ~70% of short-call samples -/// in `_lll_lock_wake_private` / `mprotect`). -#[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] -const EXT_PRODUCT_PARALLEL_THRESHOLD: usize = 1 << 17; - -#[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] -fn aos_to_soa_ext2_serial(src: &[u64]) -> (Vec, Vec) { - let n = src.len() / 2; - let mut c0 = vec![0u64; n]; - let mut c1 = vec![0u64; n]; - for i in 0..n { - c0[i] = src[2 * i]; - c1[i] = src[2 * i + 1]; - } - (c0, c1) -} - -#[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] -fn aos_to_soa_ext3_serial(src: &[u64]) -> (Vec, Vec, Vec) { - let n = src.len() / 3; - let mut c0 = vec![0u64; n]; - let mut c1 = vec![0u64; n]; - let mut c2 = vec![0u64; n]; - for i in 0..n { - c0[i] = src[3 * i]; - c1[i] = src[3 * i + 1]; - c2[i] = src[3 * i + 2]; - } - (c0, c1, c2) -} - -#[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] -fn aos_to_soa_ext2_par(src: &[u64]) -> (Vec, Vec) { - use rayon::prelude::*; - let n = src.len() / 2; - let mut c0 = vec![0u64; n]; - let mut c1 = vec![0u64; n]; - let chunk = EXT_PRODUCT_CHUNK; - c0.par_chunks_mut(chunk) - .zip(c1.par_chunks_mut(chunk)) - .enumerate() - .for_each(|(i, (c0_chunk, c1_chunk))| { - let start = i * chunk; - for j in 0..c0_chunk.len() { - c0_chunk[j] = src[2 * (start + j)]; - c1_chunk[j] = src[2 * (start + j) + 1]; - } - }); - (c0, c1) -} - -#[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] -fn aos_to_soa_ext3_par(src: &[u64]) -> (Vec, Vec, Vec) { - use rayon::prelude::*; - let n = src.len() / 3; - let mut c0 = vec![0u64; n]; - let mut c1 = vec![0u64; n]; - let mut c2 = vec![0u64; n]; - let chunk = EXT_PRODUCT_CHUNK; - c0.par_chunks_mut(chunk) - .zip(c1.par_chunks_mut(chunk)) - .zip(c2.par_chunks_mut(chunk)) - .enumerate() - .for_each(|(i, ((c0_chunk, c1_chunk), c2_chunk))| { - let start = i * chunk; - for j in 0..c0_chunk.len() { - c0_chunk[j] = src[3 * (start + j)]; - c1_chunk[j] = src[3 * (start + j) + 1]; - c2_chunk[j] = src[3 * (start + j) + 2]; - } - }); - (c0, c1, c2) -} - -#[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] -fn simd_ext2_product_sum>( - f: &[F], - g: &[F], -) -> (F, F) { - use crate::simd_sumcheck::dispatch::extract_nonresidue_ext2; - use rayon::prelude::*; - - let n = f.len(); - let f_raw: &[u64] = unsafe { core::slice::from_raw_parts(f.as_ptr() as *const u64, n * 2) }; - let g_raw: &[u64] = unsafe { core::slice::from_raw_parts(g.as_ptr() as *const u64, n * 2) }; - let w = extract_nonresidue_ext2::(); - - // Serial path for small inputs: rayon's fork/join cost would dominate. - if n <= EXT_PRODUCT_PARALLEL_THRESHOLD { - let (f_c0, f_c1) = aos_to_soa_ext2_serial(f_raw); - let (g_c0, g_c1) = aos_to_soa_ext2_serial(g_raw); - let (a, b) = crate::simd_sumcheck::reduce::ext2_soa_product_evaluate::( - &f_c0, &f_c1, &g_c0, &g_c1, w, - ); - return ( - pack_ext_u64_to_field::(&a), - pack_ext_u64_to_field::(&b), - ); - } - - // Parallel AoS → SoA; one pass each for f and g. - let ((f_c0, f_c1), (g_c0, g_c1)) = - rayon::join(|| aos_to_soa_ext2_par(f_raw), || aos_to_soa_ext2_par(g_raw)); - - // Chunks must be pair-aligned (even length). The last chunk may be odd - // if n is odd, but pairwise_product_sum always receives even n (pairs). - let chunk = EXT_PRODUCT_CHUNK; - let (a, b) = f_c0 - .par_chunks(chunk) - .zip(f_c1.par_chunks(chunk)) - .zip(g_c0.par_chunks(chunk)) - .zip(g_c1.par_chunks(chunk)) - .map(|(((fc0, fc1), gc0), gc1)| { - crate::simd_sumcheck::reduce::ext2_soa_product_evaluate::(fc0, fc1, gc0, gc1, w) - }) - .reduce( - || ([0u64; 2], [0u64; 2]), - |(a1, b1), (a2, b2)| { - ( - [B::scalar_add(a1[0], a2[0]), B::scalar_add(a1[1], a2[1])], - [B::scalar_add(b1[0], b2[0]), B::scalar_add(b1[1], b2[1])], - ) - }, - ); - - ( - pack_ext_u64_to_field::(&a), - pack_ext_u64_to_field::(&b), - ) -} - -#[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] -fn simd_ext3_product_sum>( - f: &[F], - g: &[F], -) -> (F, F) { - use crate::simd_sumcheck::dispatch::extract_nonresidue_ext3; - use rayon::prelude::*; - - let n = f.len(); - let f_raw: &[u64] = unsafe { core::slice::from_raw_parts(f.as_ptr() as *const u64, n * 3) }; - let g_raw: &[u64] = unsafe { core::slice::from_raw_parts(g.as_ptr() as *const u64, n * 3) }; - let w = extract_nonresidue_ext3::(); - - // Serial path for small inputs: rayon's fork/join cost would dominate. - if n <= EXT_PRODUCT_PARALLEL_THRESHOLD { - let (f_c0, f_c1, f_c2) = aos_to_soa_ext3_serial(f_raw); - let (g_c0, g_c1, g_c2) = aos_to_soa_ext3_serial(g_raw); - let (a, b) = crate::simd_sumcheck::reduce::ext3_soa_product_evaluate::( - &f_c0, &f_c1, &f_c2, &g_c0, &g_c1, &g_c2, w, - ); - return ( - pack_ext_u64_to_field::(&a), - pack_ext_u64_to_field::(&b), - ); - } - - let ((f_c0, f_c1, f_c2), (g_c0, g_c1, g_c2)) = - rayon::join(|| aos_to_soa_ext3_par(f_raw), || aos_to_soa_ext3_par(g_raw)); - - let chunk = EXT_PRODUCT_CHUNK; - let (a, b) = f_c0 - .par_chunks(chunk) - .zip(f_c1.par_chunks(chunk)) - .zip(f_c2.par_chunks(chunk)) - .zip(g_c0.par_chunks(chunk)) - .zip(g_c1.par_chunks(chunk)) - .zip(g_c2.par_chunks(chunk)) - .map(|(((((fc0, fc1), fc2), gc0), gc1), gc2)| { - crate::simd_sumcheck::reduce::ext3_soa_product_evaluate::( - fc0, fc1, fc2, gc0, gc1, gc2, w, - ) - }) - .reduce( - || ([0u64; 3], [0u64; 3]), - |(a1, b1), (a2, b2)| { - ( - [ - B::scalar_add(a1[0], a2[0]), - B::scalar_add(a1[1], a2[1]), - B::scalar_add(a1[2], a2[2]), - ], - [ - B::scalar_add(b1[0], b2[0]), - B::scalar_add(b1[1], b2[1]), - B::scalar_add(b1[2], b2[2]), - ], - ) - }, - ); - - ( - pack_ext_u64_to_field::(&a), - pack_ext_u64_to_field::(&b), - ) -} - -#[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] -#[inline] -fn pack_ext_u64_to_field(limbs: &[u64]) -> F { - debug_assert_eq!( - core::mem::size_of::(), - limbs.len() * core::mem::size_of::() - ); - unsafe { - let mut out = core::mem::MaybeUninit::::uninit(); - core::ptr::copy_nonoverlapping(limbs.as_ptr(), out.as_mut_ptr() as *mut u64, limbs.len()); - out.assume_init() - } -} - // ─── Inner product ────────────────────────────────────────────────────────── /// Dot product: `Σ f[i] * g[i]`. diff --git a/src/simd_sumcheck/dispatch.rs b/src/simd_sumcheck/dispatch.rs index e218ca84..1e2631d4 100644 --- a/src/simd_sumcheck/dispatch.rs +++ b/src/simd_sumcheck/dispatch.rs @@ -32,17 +32,6 @@ ))] use ark_ff::Field; -#[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") -))] -use crate::multilinear::Sumcheck; -#[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") -))] -use crate::transcript::Transcript; - /// Goldilocks modulus: p = 2^64 − 2^32 + 1. #[cfg(any( target_arch = "aarch64", @@ -153,593 +142,6 @@ pub(crate) fn extract_nonresidue_ext3< unsafe { *((&nr) as *const EF as *const u64) } } -// ─── Auto-dispatch ────────────────────────────────────────────────────────── - -/// Try to run the multilinear sumcheck on the SIMD backend. -/// -/// Returns `Some(result)` if `BF == EF` is a recognised SIMD-accelerated -/// type (currently: Goldilocks). Returns `None` otherwise, letting the -/// caller fall through to the generic path. -/// -/// # Safety invariant -/// -/// When `is_goldilocks::()` is true we transmute `&[BF]` ↔ `&[u64]`. -/// This relies on `SmallFp

` (and `Fp64>`) having -/// the same in-memory layout as a bare `u64` — guaranteed in practice -/// because the only non-ZST field is `value: u64` (resp. `BigInt<1>([u64; 1])`). -/// A formal guarantee would require `#[repr(transparent)]` on those -/// structs or the `zerocopy` crate; until then the `size_of` check -/// provides a compile-time safety net. -#[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") -))] -#[allow(dead_code)] // Orphaned after the MSB refactor; kept as reference. -pub(crate) fn try_simd_dispatch( - evaluations: &mut [BF], - transcript: &mut T, - hook: &mut H, -) -> Option> -where - BF: Field, - EF: Field + From, - T: Transcript, - H: FnMut(usize, &mut T), -{ - if !(is_goldilocks::() && is_goldilocks::()) { - return None; - } - - // ── Compile-time size sanity ──────────────────────────────────────── - // If the size check above somehow passed for a type whose layout - // doesn't match u64, this assert will fire at compile time (const). - assert!( - core::mem::size_of::() == 8 && core::mem::size_of::() == 8, - "Goldilocks dispatch: field element size must be 8 bytes" - ); - - #[cfg(target_arch = "aarch64")] - type Backend = crate::simd_fields::goldilocks::neon::GoldilocksNeon; - #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] - type Backend = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; - - let n = evaluations.len(); - let num_rounds = n.trailing_zeros() as usize; - let mut prover_messages: Vec<(EF, EF)> = Vec::with_capacity(num_rounds); - let mut verifier_messages: Vec = Vec::with_capacity(num_rounds); - - // Two strategies depending on input size: - // - // Small inputs (≤ HYBRID_THRESHOLD): all-SIMD path. - // SIMD evaluate (add) + SIMD in-place reduce (mul). - // - // Large inputs (> HYBRID_THRESHOLD): hybrid path. - // SIMD evaluate (add) + generic arkworks reduce (rayon-parallel). - // - // The threshold is architecture-dependent: - // - // NEON: mul falls back to scalar (no 64×64→128), so the hybrid path - // (in-place generic reduce) wins at scale. Threshold at 2^18. - // - // AVX-512 IFMA: mul is truly 8-wide vectorized, so the all-SIMD path - // stays competitive longer. At very large sizes memory bandwidth - // dominates and the hybrid path (which avoids extra allocation) - // catches up. Threshold at 2^20 balances SIMD reduce wins with - // memory traffic. - #[cfg(target_arch = "aarch64")] - const HYBRID_THRESHOLD: usize = 1 << 18; - #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] - const HYBRID_THRESHOLD: usize = 1 << 30; - - let final_evaluation = if n <= HYBRID_THRESHOLD { - dispatch_all_simd::( - evaluations, - transcript, - hook, - num_rounds, - &mut prover_messages, - &mut verifier_messages, - ) - } else { - dispatch_hybrid::( - evaluations, - transcript, - hook, - num_rounds, - &mut prover_messages, - &mut verifier_messages, - ) - }; - - Some(Sumcheck { - verifier_messages, - prover_messages, - final_evaluation, - }) -} - -/// Try to run the multilinear sumcheck on the SIMD backend for extension fields. -/// -/// Handles the case where BF == EF and EF is a Goldilocks extension (degree 2 or 3). -/// Uses SoA (Struct-of-Arrays) layout: converts AoS to SoA once at entry, then -/// all rounds operate on contiguous component arrays. This eliminates all shuffle -/// overhead (permutex2var, gather/scatter) from the AoS reduce path. -/// -/// Evaluate becomes per-component `evaluate_parallel` (fully SIMD, ~6x over generic). -/// Reduce uses contiguous loads with `load_deinterleaved` (no shuffles). -#[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") -))] -#[allow(dead_code)] // Used on AVX-512; on NEON, generic path with rayon is faster -pub(crate) fn try_simd_ext_dispatch( - evaluations: &mut [BF], - transcript: &mut T, - hook: &mut H, -) -> Option> -where - BF: Field, - EF: Field + From, - T: Transcript, - H: FnMut(usize, &mut T), -{ - if !is_goldilocks_based::() { - return None; - } - - let d = BF::extension_degree() as usize; - if !(2..=3).contains(&d) { - return None; - } - - // BF must be the same as EF (both are ext fields with same layout) - if core::mem::size_of::() != core::mem::size_of::() { - return None; - } - - #[cfg(target_arch = "aarch64")] - type Backend = crate::simd_fields::goldilocks::neon::GoldilocksNeon; - #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] - type Backend = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; - - let n = evaluations.len(); - let num_rounds = n.trailing_zeros() as usize; - let mut prover_messages: Vec<(EF, EF)> = Vec::with_capacity(num_rounds); - let mut verifier_messages: Vec = Vec::with_capacity(num_rounds); - let mut final_evaluation = EF::ZERO; - - // View evaluations as flat u64 buffer - let n_u64 = n * d; - let src: &[u64] = - unsafe { core::slice::from_raw_parts(evaluations.as_ptr() as *const u64, n_u64) }; - - // Above this input size, switch to rayon-parallel SoA reduce. Below it, - // the in-place single-threaded kernel wins (thread scheduling overhead - // dominates the small chunk work). - const EXT_PARALLEL_THRESHOLD: usize = 1 << 17; - - if d == 2 { - let w = extract_nonresidue_ext2::(); - - // Convert AoS → SoA once (one-time O(n) cost, eliminates per-round shuffles) - let (mut c0, mut c1) = aos_to_soa_ext2(src); - let mut len = n; // number of extension elements - - // Scratch for parallel ping-pong (read from c*, write to scratch_*, swap). - // Size n/2 is enough for the first parallel round; subsequent rounds write - // smaller outputs. - let use_parallel = n > EXT_PARALLEL_THRESHOLD; - let mut scratch_c0: Vec = if use_parallel { - vec![0u64; n / 2] - } else { - Vec::new() - }; - let mut scratch_c1: Vec = if use_parallel { - vec![0u64; n / 2] - } else { - Vec::new() - }; - - // Fused reduce+evaluate: rounds 1+ get evaluate results from the prior - // round's fused kernel, eliminating one full data pass per round. - let mut pending_eval: Option<([u64; 2], [u64; 2])> = None; - - for round in 0..num_rounds { - let (even_comps, odd_comps) = pending_eval.unwrap_or_else(|| { - use crate::simd_sumcheck::evaluate::evaluate_parallel; - let (e0, o0) = evaluate_parallel::(&c0[..len]); - let (e1, o1) = evaluate_parallel::(&c1[..len]); - ([e0, e1], [o0, o1]) - }); - - let even: EF = unsafe { ext_components_to_field(&even_comps) }; - let odd: EF = unsafe { ext_components_to_field(&odd_comps) }; - let msg = (even, odd); - - prover_messages.push(msg); - transcript.write(msg.0); - transcript.write(msg.1); - - hook(round, transcript); - - let chg: EF = transcript.read(); - verifier_messages.push(chg); - - if round < num_rounds - 1 { - let chg_raw: [u64; 2] = unsafe { - let ptr = &chg as *const EF as *const u64; - [*ptr, *ptr.add(1)] - }; - if len > EXT_PARALLEL_THRESHOLD { - let new_len = len / 2; - let (next_even, next_odd) = - crate::simd_sumcheck::reduce::ext2_soa_reduce_and_evaluate_parallel::< - Backend, - >( - &c0[..len], - &c1[..len], - &mut scratch_c0[..new_len], - &mut scratch_c1[..new_len], - chg_raw, - w, - ); - core::mem::swap(&mut c0, &mut scratch_c0); - core::mem::swap(&mut c1, &mut scratch_c1); - len = new_len; - pending_eval = Some((next_even, next_odd)); - } else { - let (next_even, next_odd, new_len) = - crate::simd_sumcheck::reduce::ext2_soa_reduce_and_evaluate::( - &mut c0[..len], - &mut c1[..len], - chg_raw, - w, - ); - len = new_len; - pending_eval = Some((next_even, next_odd)); - } - } else { - // Last round: fold the surviving pair with the final challenge - // (in EF arithmetic — independent of `w`). - debug_assert_eq!(len, 2); - let v0: EF = unsafe { ext_components_to_field(&[c0[0], c1[0]]) }; - let v1: EF = unsafe { ext_components_to_field(&[c0[1], c1[1]]) }; - final_evaluation = v0 + chg * (v1 - v0); - } - } - } else { - // d == 3 - let w = extract_nonresidue_ext3::(); - - let (mut c0, mut c1, mut c2) = aos_to_soa_ext3(src); - let mut len = n; - let use_parallel = n > EXT_PARALLEL_THRESHOLD; - let mut scratch_c0: Vec = if use_parallel { - vec![0u64; n / 2] - } else { - Vec::new() - }; - let mut scratch_c1: Vec = if use_parallel { - vec![0u64; n / 2] - } else { - Vec::new() - }; - let mut scratch_c2: Vec = if use_parallel { - vec![0u64; n / 2] - } else { - Vec::new() - }; - let mut pending_eval: Option<([u64; 3], [u64; 3])> = None; - - for round in 0..num_rounds { - let (even_comps, odd_comps) = pending_eval.unwrap_or_else(|| { - use crate::simd_sumcheck::evaluate::evaluate_parallel; - let (e0, o0) = evaluate_parallel::(&c0[..len]); - let (e1, o1) = evaluate_parallel::(&c1[..len]); - let (e2, o2) = evaluate_parallel::(&c2[..len]); - ([e0, e1, e2], [o0, o1, o2]) - }); - - let even: EF = unsafe { ext_components_to_field(&even_comps) }; - let odd: EF = unsafe { ext_components_to_field(&odd_comps) }; - let msg = (even, odd); - - prover_messages.push(msg); - transcript.write(msg.0); - transcript.write(msg.1); - - hook(round, transcript); - - let chg: EF = transcript.read(); - verifier_messages.push(chg); - - if round < num_rounds - 1 { - let chg_raw: [u64; 3] = unsafe { - let ptr = &chg as *const EF as *const u64; - [*ptr, *ptr.add(1), *ptr.add(2)] - }; - if len > EXT_PARALLEL_THRESHOLD { - let new_len = len / 2; - let (next_even, next_odd) = - crate::simd_sumcheck::reduce::ext3_soa_reduce_and_evaluate_parallel::< - Backend, - >( - &c0[..len], - &c1[..len], - &c2[..len], - &mut scratch_c0[..new_len], - &mut scratch_c1[..new_len], - &mut scratch_c2[..new_len], - chg_raw, - w, - ); - core::mem::swap(&mut c0, &mut scratch_c0); - core::mem::swap(&mut c1, &mut scratch_c1); - core::mem::swap(&mut c2, &mut scratch_c2); - len = new_len; - pending_eval = Some((next_even, next_odd)); - } else { - let (next_even, next_odd, new_len) = - crate::simd_sumcheck::reduce::ext3_soa_reduce_and_evaluate::( - &mut c0[..len], - &mut c1[..len], - &mut c2[..len], - chg_raw, - w, - ); - len = new_len; - pending_eval = Some((next_even, next_odd)); - } - } else { - debug_assert_eq!(len, 2); - let v0: EF = unsafe { ext_components_to_field(&[c0[0], c1[0], c2[0]]) }; - let v1: EF = unsafe { ext_components_to_field(&[c0[1], c1[1], c2[1]]) }; - final_evaluation = v0 + chg * (v1 - v0); - } - } - } - - Some(Sumcheck { - verifier_messages, - prover_messages, - final_evaluation, - }) -} - -/// All-SIMD path: evaluate + reduce both in raw u64 SIMD. -/// Best for small-to-medium inputs where SIMD reduce beats generic. -#[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") -))] -#[allow(dead_code)] // Called only by the orphan `try_simd_dispatch`. -fn dispatch_all_simd( - evaluations: &mut [BF], - transcript: &mut T, - hook: &mut H, - num_rounds: usize, - prover_messages: &mut Vec<(EF, EF)>, - verifier_messages: &mut Vec, -) -> EF -where - BF: Field, - EF: Field + From, - T: Transcript, - H: FnMut(usize, &mut T), - S: crate::simd_fields::SimdBaseField, -{ - use crate::simd_sumcheck::evaluate::evaluate_parallel; - use crate::simd_sumcheck::reduce::{reduce_and_evaluate, reduce_in_place}; - - // SAFETY: BF is Goldilocks, size_of == 8, layout-compatible with u64. - // Work in-place on the evaluation buffer to avoid allocation overhead. - let current: &mut [u64] = unsafe { - core::slice::from_raw_parts_mut(evaluations.as_mut_ptr() as *mut u64, evaluations.len()) - }; - - let mut len = current.len(); - - // Fused reduce+evaluate eliminates one data pass per round. - // Only beneficial when data exceeds L2 cache (~2 MB = ~2^18 u64s). - const FUSE_THRESHOLD: usize = 1 << 20; - - let mut pending_eval: Option<(u64, u64)> = None; - - for round in 0..num_rounds { - let (s0, s1) = pending_eval.unwrap_or_else(|| evaluate_parallel::(¤t[..len])); - - let msg = (u64_to_field::(s0), u64_to_field::(s1)); - prover_messages.push(msg); - transcript.write(msg.0); - transcript.write(msg.1); - - hook(round, transcript); - - let chg_ef: EF = transcript.read(); - verifier_messages.push(chg_ef); - - if round < num_rounds - 1 { - let chg: u64 = field_to_u64(chg_ef); - if len > FUSE_THRESHOLD { - let (ns0, ns1, new_len) = reduce_and_evaluate::(&mut current[..len], chg); - len = new_len; - pending_eval = Some((ns0, ns1)); - } else { - len = reduce_in_place::(&mut current[..len], chg); - pending_eval = None; - } - } else if num_rounds > 0 { - // Last round: fold the surviving pair with the final challenge. - debug_assert_eq!(len, 2); - let v0: EF = u64_to_field(current[0]); - let v1: EF = u64_to_field(current[1]); - return v0 + chg_ef * (v1 - v0); - } - } - EF::ZERO -} - -/// Hybrid path: SIMD evaluate + generic arkworks reduce. -/// Best for large inputs where rayon-parallel Field reduce dominates. -#[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") -))] -#[allow(dead_code)] // Called only by the orphan `try_simd_dispatch`. -fn dispatch_hybrid( - evaluations: &[BF], - transcript: &mut T, - hook: &mut H, - num_rounds: usize, - prover_messages: &mut Vec<(EF, EF)>, - verifier_messages: &mut Vec, -) -> EF -where - BF: Field, - EF: Field + From, - T: Transcript, - H: FnMut(usize, &mut T), - S: crate::simd_fields::SimdBaseField, -{ - use crate::multilinear::reductions::pairwise; - use crate::simd_sumcheck::evaluate::evaluate_parallel; - - let n = evaluations.len(); - - if num_rounds == 0 { - return EF::ZERO; - } - - // ── Round 0: BF evaluate (SIMD) + cross-field reduce ────────── - let buf: &[u64] = unsafe { core::slice::from_raw_parts(evaluations.as_ptr() as *const u64, n) }; - let (s0, s1) = evaluate_parallel::(buf); - - let msg = (u64_to_field::(s0), u64_to_field::(s1)); - prover_messages.push(msg); - transcript.write(msg.0); - transcript.write(msg.1); - - hook(0, transcript); - - let chg: EF = transcript.read(); - verifier_messages.push(chg); - - let mut ef_evals = pairwise::cross_field_reduce(evaluations, chg); - - // ── Rounds 1+: EF evaluate (SIMD) + EF reduce (generic) ────── - for round in 1..num_rounds { - let buf: &[u64] = - unsafe { core::slice::from_raw_parts(ef_evals.as_ptr() as *const u64, ef_evals.len()) }; - let (s0, s1) = evaluate_parallel::(buf); - - let msg = (u64_to_field::(s0), u64_to_field::(s1)); - prover_messages.push(msg); - transcript.write(msg.0); - transcript.write(msg.1); - - hook(round, transcript); - - let chg: EF = transcript.read(); - verifier_messages.push(chg); - - pairwise::reduce_evaluations(&mut ef_evals, chg); - } - - debug_assert_eq!(ef_evals.len(), 1); - ef_evals[0] -} - -// ─── Inner product dispatch ───────────────────────────────────────────────── - -/// Try to run the inner product sumcheck on the SIMD backend. -/// -/// Same safety invariant as [`try_simd_dispatch`]. -#[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") -))] -#[allow(dead_code)] // Orphaned after the MSB refactor; kept as reference. -pub(crate) fn try_simd_product_dispatch( - f: &mut [BF], - g: &mut [BF], - transcript: &mut T, - hook: &mut H, -) -> Option> -where - BF: Field, - EF: Field + From, - T: Transcript, - H: FnMut(usize, &mut T), -{ - if !(is_goldilocks::() && is_goldilocks::()) { - return None; - } - - assert!( - core::mem::size_of::() == 8 && core::mem::size_of::() == 8, - "Goldilocks dispatch: field element size must be 8 bytes" - ); - - #[cfg(target_arch = "aarch64")] - type Backend = crate::simd_fields::goldilocks::neon::GoldilocksNeon; - #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] - type Backend = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; - - use crate::simd_sumcheck::evaluate::product_evaluate_parallel; - use crate::simd_sumcheck::reduce::reduce_both_in_place; - - let n = f.len(); - let num_rounds = n.trailing_zeros() as usize; - let mut prover_messages: Vec<(EF, EF)> = Vec::with_capacity(num_rounds); - let mut verifier_messages: Vec = Vec::with_capacity(num_rounds); - let mut final_evaluations = (EF::ZERO, EF::ZERO); - - if num_rounds > 0 { - let f_raw: &mut [u64] = - unsafe { core::slice::from_raw_parts_mut(f.as_mut_ptr() as *mut u64, n) }; - let g_raw: &mut [u64] = - unsafe { core::slice::from_raw_parts_mut(g.as_mut_ptr() as *mut u64, n) }; - - let mut len = n; - - for round in 0..num_rounds { - let (a, b) = product_evaluate_parallel::(&f_raw[..len], &g_raw[..len]); - - let msg = (u64_to_field::(a), u64_to_field::(b)); - prover_messages.push(msg); - transcript.write(msg.0); - transcript.write(msg.1); - - hook(round, transcript); - - let chg_ef: EF = transcript.read(); - verifier_messages.push(chg_ef); - - if round < num_rounds - 1 { - let chg: u64 = field_to_u64(chg_ef); - // Reduce both f and g in one interleaved pass (saves one full data read) - len = reduce_both_in_place::(&mut f_raw[..len], &mut g_raw[..len], chg); - } else { - // Last round: compute the final folded values using the last - // challenge. The loop guard skips the in-place reduce, so - // f_raw[0..2] and g_raw[0..2] still hold the surviving pair. - debug_assert_eq!(len, 2); - let f0: EF = u64_to_field(f_raw[0]); - let f1: EF = u64_to_field(f_raw[1]); - let g0: EF = u64_to_field(g_raw[0]); - let g1: EF = u64_to_field(g_raw[1]); - final_evaluations = (f0 + chg_ef * (f1 - f0), g0 + chg_ef * (g1 - g0)); - } - } - } - - Some(crate::multilinear_product::ProductSumcheck { - verifier_messages, - prover_messages, - final_evaluations, - }) -} - // ─── Standalone SIMD reduce (Field-level API) ────────────────────────────── /// SIMD-accelerated pairwise reduce on a `Vec`. @@ -876,110 +278,10 @@ unsafe fn ext_components_to_field(components: &[u64]) -> F { val.assume_init() } -/// SIMD-accelerated extension field reduce on `Vec`. -/// -/// For degree-2 Goldilocks extensions: uses `ext2_reduce_in_place` with -/// specialized Karatsuba multiply. Returns `true` if handled. #[cfg(any( target_arch = "aarch64", all(target_arch = "x86_64", target_feature = "avx512ifma") ))] -/// Fused extension reduce + next-round evaluate. -/// -/// Reduces `evals` in-place and returns `Some((next_even, next_odd))` for the -/// next round's prover message. Returns `None` for unsupported fields. -/// This eliminates one full data pass per round. -#[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") -))] -#[allow(dead_code)] // Orphaned after the MSB refactor; kept as reference. -pub(crate) fn try_simd_ext_fused_reduce_evaluate( - evals: &mut Vec, - challenge: EF, -) -> Option<(EF, EF)> { - if !is_goldilocks_based::() { - return None; - } - - let d = EF::extension_degree() as usize; - - if d == 1 { - // Base field: use existing fused reduce_and_evaluate - #[cfg(target_arch = "aarch64")] - type Backend = crate::simd_fields::goldilocks::neon::GoldilocksNeon; - #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] - type Backend = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; - - let buf: &mut [u64] = - unsafe { core::slice::from_raw_parts_mut(evals.as_mut_ptr() as *mut u64, evals.len()) }; - let chg: u64 = field_to_u64(challenge); - let (s0, s1, new_len) = - crate::simd_sumcheck::reduce::reduce_and_evaluate::(buf, chg); - evals.truncate(new_len); - return Some((u64_to_field(s0), u64_to_field(s1))); - } - - #[cfg(target_arch = "aarch64")] - { - // NEON-only fused reduce + evaluate. Uses `extract_nonresidue_ext{2,3}` - // helpers (shared with the full dispatch) to compute `w` correctly - // for each extension degree — an earlier version used a single - // squaring-based extractor for both, which gave the wrong `w` on ext3 - // (X² instead of X³) and quietly produced wrong reduce results. - type Backend = crate::simd_fields::goldilocks::neon::GoldilocksNeon; - - if d == 2 { - let n_u64 = evals.len() * d; - let buf: &mut [u64] = - unsafe { core::slice::from_raw_parts_mut(evals.as_mut_ptr() as *mut u64, n_u64) }; - - let chg_raw: [u64; 2] = unsafe { - let ptr = &challenge as *const EF as *const u64; - [*ptr, *ptr.add(1)] - }; - - let w = extract_nonresidue_ext2::(); - - let (even_comps, odd_comps, new_len_u64) = - crate::simd_sumcheck::reduce::ext2_reduce_and_evaluate(buf, chg_raw, w); - evals.truncate(new_len_u64 / d); - - let even: EF = unsafe { ext_components_to_field(&even_comps) }; - let odd: EF = unsafe { ext_components_to_field(&odd_comps) }; - return Some((even, odd)); - } - - if d == 3 { - let n_u64 = evals.len() * d; - let buf: &mut [u64] = - unsafe { core::slice::from_raw_parts_mut(evals.as_mut_ptr() as *mut u64, n_u64) }; - - let chg_raw: [u64; 3] = unsafe { - let ptr = &challenge as *const EF as *const u64; - [*ptr, *ptr.add(1), *ptr.add(2)] - }; - - let w = extract_nonresidue_ext3::(); - - let (even_comps, odd_comps, new_len_u64) = - crate::simd_sumcheck::reduce::ext3_reduce_and_evaluate(buf, chg_raw, w); - evals.truncate(new_len_u64 / d); - - let even: EF = unsafe { ext_components_to_field(&even_comps) }; - let odd: EF = unsafe { ext_components_to_field(&odd_comps) }; - return Some((even, odd)); - } - } - - None -} - -#[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") -))] -#[allow(dead_code)] pub(crate) fn try_simd_ext_reduce(evals: &mut Vec, challenge: EF) -> bool { if !is_goldilocks_based::() { return false; @@ -1067,649 +369,6 @@ pub(crate) fn try_simd_evaluate_degree1(pw: &[F]) -> Option> { Some(vec![s0, s1 - s0]) } -// ─── AoS → SoA conversion ────────────────────────────────────────────────── - -/// Convert AoS ext2 layout to SoA: [e0_c0, e0_c1, e1_c0, e1_c1, ...] → (c0[], c1[]) -#[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") -))] -pub(crate) fn aos_to_soa_ext2(src: &[u64]) -> (Vec, Vec) { - let n = src.len() / 2; - let mut c0 = Vec::with_capacity(n); - let mut c1 = Vec::with_capacity(n); - for i in 0..n { - c0.push(src[2 * i]); - c1.push(src[2 * i + 1]); - } - (c0, c1) -} - -/// Convert AoS ext3 layout to SoA: [e0_c0, e0_c1, e0_c2, e1_c0, ...] → (c0[], c1[], c2[]) -#[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") -))] -pub(crate) fn aos_to_soa_ext3(src: &[u64]) -> (Vec, Vec, Vec) { - let n = src.len() / 3; - let mut c0 = Vec::with_capacity(n); - let mut c1 = Vec::with_capacity(n); - let mut c2 = Vec::with_capacity(n); - for i in 0..n { - c0.push(src[3 * i]); - c1.push(src[3 * i + 1]); - c2.push(src[3 * i + 2]); - } - (c0, c1, c2) -} - -// ─── Inner product extension dispatch ────────────────────────────────────── - -/// Try to run the inner product sumcheck on the SIMD backend for extension fields. -/// -/// Handles BF == EF == Goldilocks ext2 (degree-2 extension). -/// Uses SoA layout for both f and g, with SIMD product evaluate + SoA reduce. -#[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") -))] -#[allow(dead_code)] // Orphaned after the MSB refactor; kept as reference. -pub(crate) fn try_simd_ext_product_dispatch( - f: &mut [BF], - g: &mut [BF], - transcript: &mut T, - hook: &mut H, -) -> Option> -where - BF: Field, - EF: Field + From, - T: Transcript, - H: FnMut(usize, &mut T), -{ - if !is_goldilocks_based::() { - return None; - } - - let d = BF::extension_degree() as usize; - if !(2..=3).contains(&d) { - return None; - } - - if core::mem::size_of::() != core::mem::size_of::() { - return None; - } - - #[cfg(target_arch = "aarch64")] - type Backend = crate::simd_fields::goldilocks::neon::GoldilocksNeon; - #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] - type Backend = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; - - let n = f.len(); - let num_rounds = n.trailing_zeros() as usize; - let mut prover_messages: Vec<(EF, EF)> = Vec::with_capacity(num_rounds); - let mut verifier_messages: Vec = Vec::with_capacity(num_rounds); - let mut final_evaluations = (EF::ZERO, EF::ZERO); - - // Convert both f and g from AoS → SoA - let f_u64: &[u64] = unsafe { core::slice::from_raw_parts(f.as_ptr() as *const u64, n * d) }; - let g_u64: &[u64] = unsafe { core::slice::from_raw_parts(g.as_ptr() as *const u64, n * d) }; - - const EXT_PARALLEL_THRESHOLD: usize = 1 << 17; - - // NOTE on fusion: unlike the non-product SoA dispatch, we don't use a - // pending_eval optimization here. The product evaluate requires Σ f'[2m']·g'[2m'] - // on the *reduced* values, which needs lane-deinterleaving + Karatsuba across - // the two halves of each SIMD register — more complex than the non-product - // case (which just sums even/odd lanes). Call product_evaluate per round - // and reduce separately; the correct fusion is a future optimization. - if d == 2 { - let w = extract_nonresidue_ext2::(); - - let (mut f_c0, mut f_c1) = aos_to_soa_ext2(f_u64); - let (mut g_c0, mut g_c1) = aos_to_soa_ext2(g_u64); - let mut len = n; - - let use_parallel = n > EXT_PARALLEL_THRESHOLD; - let mut sf_c0: Vec = if use_parallel { - vec![0u64; n / 2] - } else { - Vec::new() - }; - let mut sf_c1: Vec = if use_parallel { - vec![0u64; n / 2] - } else { - Vec::new() - }; - let mut sg_c0: Vec = if use_parallel { - vec![0u64; n / 2] - } else { - Vec::new() - }; - let mut sg_c1: Vec = if use_parallel { - vec![0u64; n / 2] - } else { - Vec::new() - }; - - for round in 0..num_rounds { - let (a_raw, b_raw) = crate::simd_sumcheck::reduce::ext2_soa_product_evaluate::( - &f_c0[..len], - &f_c1[..len], - &g_c0[..len], - &g_c1[..len], - w, - ); - - let a: EF = unsafe { ext_components_to_field(&a_raw) }; - let b: EF = unsafe { ext_components_to_field(&b_raw) }; - let msg = (a, b); - - prover_messages.push(msg); - transcript.write(msg.0); - transcript.write(msg.1); - - hook(round, transcript); - - let chg: EF = transcript.read(); - verifier_messages.push(chg); - - if round < num_rounds - 1 { - let chg_raw: [u64; 2] = unsafe { - let ptr = &chg as *const EF as *const u64; - [*ptr, *ptr.add(1)] - }; - if len > EXT_PARALLEL_THRESHOLD { - let new_len = len / 2; - // Reduce-only: the evaluate for next round is recomputed - // by ext2_soa_product_evaluate at the top of the next - // iteration, so we skip the ~3 extra ext2 muls/iter that - // the fused kernel used to do. - crate::simd_sumcheck::reduce::ext2_soa_product_reduce_only_parallel::( - &f_c0[..len], - &f_c1[..len], - &g_c0[..len], - &g_c1[..len], - &mut sf_c0[..new_len], - &mut sf_c1[..new_len], - &mut sg_c0[..new_len], - &mut sg_c1[..new_len], - chg_raw, - w, - ); - core::mem::swap(&mut f_c0, &mut sf_c0); - core::mem::swap(&mut f_c1, &mut sf_c1); - core::mem::swap(&mut g_c0, &mut sg_c0); - core::mem::swap(&mut g_c1, &mut sg_c1); - len = new_len; - } else { - let new_len = - crate::simd_sumcheck::reduce::ext2_soa_product_reduce_only::( - &mut f_c0[..len], - &mut f_c1[..len], - &mut g_c0[..len], - &mut g_c1[..len], - chg_raw, - w, - ); - len = new_len; - } - } else { - // Last round: compute final folded values from the surviving - // pair using EF arithmetic. - debug_assert_eq!(len, 2); - let f0: EF = unsafe { ext_components_to_field(&[f_c0[0], f_c1[0]]) }; - let f1: EF = unsafe { ext_components_to_field(&[f_c0[1], f_c1[1]]) }; - let g0: EF = unsafe { ext_components_to_field(&[g_c0[0], g_c1[0]]) }; - let g1: EF = unsafe { ext_components_to_field(&[g_c0[1], g_c1[1]]) }; - final_evaluations = (f0 + chg * (f1 - f0), g0 + chg * (g1 - g0)); - } - } - } else { - // d == 3 - let w = extract_nonresidue_ext3::(); - - let (mut f_c0, mut f_c1, mut f_c2) = aos_to_soa_ext3(f_u64); - let (mut g_c0, mut g_c1, mut g_c2) = aos_to_soa_ext3(g_u64); - let mut len = n; - - let use_parallel = n > EXT_PARALLEL_THRESHOLD; - let mut sf_c0: Vec = if use_parallel { - vec![0u64; n / 2] - } else { - Vec::new() - }; - let mut sf_c1: Vec = if use_parallel { - vec![0u64; n / 2] - } else { - Vec::new() - }; - let mut sf_c2: Vec = if use_parallel { - vec![0u64; n / 2] - } else { - Vec::new() - }; - let mut sg_c0: Vec = if use_parallel { - vec![0u64; n / 2] - } else { - Vec::new() - }; - let mut sg_c1: Vec = if use_parallel { - vec![0u64; n / 2] - } else { - Vec::new() - }; - let mut sg_c2: Vec = if use_parallel { - vec![0u64; n / 2] - } else { - Vec::new() - }; - - for round in 0..num_rounds { - let (a_raw, b_raw) = crate::simd_sumcheck::reduce::ext3_soa_product_evaluate::( - &f_c0[..len], - &f_c1[..len], - &f_c2[..len], - &g_c0[..len], - &g_c1[..len], - &g_c2[..len], - w, - ); - - let a: EF = unsafe { ext_components_to_field(&a_raw) }; - let b: EF = unsafe { ext_components_to_field(&b_raw) }; - let msg = (a, b); - - prover_messages.push(msg); - transcript.write(msg.0); - transcript.write(msg.1); - - hook(round, transcript); - - let chg: EF = transcript.read(); - verifier_messages.push(chg); - - if round < num_rounds - 1 { - let chg_raw: [u64; 3] = unsafe { - let ptr = &chg as *const EF as *const u64; - [*ptr, *ptr.add(1), *ptr.add(2)] - }; - if len > EXT_PARALLEL_THRESHOLD { - let new_len = len / 2; - crate::simd_sumcheck::reduce::ext3_soa_product_reduce_only_parallel::( - &f_c0[..len], - &f_c1[..len], - &f_c2[..len], - &g_c0[..len], - &g_c1[..len], - &g_c2[..len], - &mut sf_c0[..new_len], - &mut sf_c1[..new_len], - &mut sf_c2[..new_len], - &mut sg_c0[..new_len], - &mut sg_c1[..new_len], - &mut sg_c2[..new_len], - chg_raw, - w, - ); - core::mem::swap(&mut f_c0, &mut sf_c0); - core::mem::swap(&mut f_c1, &mut sf_c1); - core::mem::swap(&mut f_c2, &mut sf_c2); - core::mem::swap(&mut g_c0, &mut sg_c0); - core::mem::swap(&mut g_c1, &mut sg_c1); - core::mem::swap(&mut g_c2, &mut sg_c2); - len = new_len; - } else { - let new_len = - crate::simd_sumcheck::reduce::ext3_soa_product_reduce_only::( - &mut f_c0[..len], - &mut f_c1[..len], - &mut f_c2[..len], - &mut g_c0[..len], - &mut g_c1[..len], - &mut g_c2[..len], - chg_raw, - w, - ); - len = new_len; - } - } else { - debug_assert_eq!(len, 2); - let f0: EF = unsafe { ext_components_to_field(&[f_c0[0], f_c1[0], f_c2[0]]) }; - let f1: EF = unsafe { ext_components_to_field(&[f_c0[1], f_c1[1], f_c2[1]]) }; - let g0: EF = unsafe { ext_components_to_field(&[g_c0[0], g_c1[0], g_c2[0]]) }; - let g1: EF = unsafe { ext_components_to_field(&[g_c0[1], g_c1[1], g_c2[1]]) }; - final_evaluations = (f0 + chg * (f1 - f0), g0 + chg * (g1 - g0)); - } - } - } - - Some(crate::multilinear_product::ProductSumcheck { - verifier_messages, - prover_messages, - final_evaluations, - }) -} - -// ─── Partial IP extension dispatch (SoA-persistent across rounds) ────────── - -/// Run `max_rounds` rounds of inner-product sumcheck over a Goldilocks ext2 -/// or ext3 field, keeping SoA state across rounds (one AoS→SoA at entry, one -/// SoA→AoS at exit — `max_rounds − 1` round-trips avoided vs the per-round -/// AoS↔SoA `pairwise_product_sum` + `fold_both` loop). -/// -/// On success, truncates `f` and `g` to the folded length (`f.len() >> max_rounds`). -/// Returns `None` if `F` is not Goldilocks ext2 or ext3. -#[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] -pub(crate) fn try_simd_ext_product_partial_dispatch( - f: &mut Vec, - g: &mut Vec, - transcript: &mut T, - max_rounds: usize, - hook: &mut H, -) -> Option> -where - F: Field, - T: Transcript, - H: FnMut(usize, &mut T), -{ - if !is_goldilocks_based::() { - return None; - } - let d = F::extension_degree() as usize; - if !(2..=3).contains(&d) { - return None; - } - if core::mem::size_of::() != d * core::mem::size_of::() { - return None; - } - - type Backend = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; - - let n = f.len(); - debug_assert_eq!(n, g.len()); - let total_rounds = n.trailing_zeros() as usize; - assert!(max_rounds <= total_rounds); - - let mut prover_messages: Vec<(F, F)> = Vec::with_capacity(max_rounds); - let mut verifier_messages: Vec = Vec::with_capacity(max_rounds); - - let f_u64: &[u64] = unsafe { core::slice::from_raw_parts(f.as_ptr() as *const u64, n * d) }; - let g_u64: &[u64] = unsafe { core::slice::from_raw_parts(g.as_ptr() as *const u64, n * d) }; - - const EXT_PARALLEL_THRESHOLD: usize = 1 << 17; - - if d == 2 { - let w = extract_nonresidue_ext2::(); - - let (mut f_c0, mut f_c1) = aos_to_soa_ext2(f_u64); - let (mut g_c0, mut g_c1) = aos_to_soa_ext2(g_u64); - let mut len = n; - - let use_parallel = n > EXT_PARALLEL_THRESHOLD; - let mut sf_c0: Vec = if use_parallel { - vec![0u64; n / 2] - } else { - Vec::new() - }; - let mut sf_c1: Vec = if use_parallel { - vec![0u64; n / 2] - } else { - Vec::new() - }; - let mut sg_c0: Vec = if use_parallel { - vec![0u64; n / 2] - } else { - Vec::new() - }; - let mut sg_c1: Vec = if use_parallel { - vec![0u64; n / 2] - } else { - Vec::new() - }; - - for round in 0..max_rounds { - let (a_raw, b_raw) = crate::simd_sumcheck::reduce::ext2_soa_product_evaluate::( - &f_c0[..len], - &f_c1[..len], - &g_c0[..len], - &g_c1[..len], - w, - ); - let a: F = unsafe { ext_components_to_field(&a_raw) }; - let b: F = unsafe { ext_components_to_field(&b_raw) }; - let msg = (a, b); - - prover_messages.push(msg); - transcript.write(msg.0); - transcript.write(msg.1); - hook(round, transcript); - let chg: F = transcript.read(); - verifier_messages.push(chg); - - let chg_raw: [u64; 2] = unsafe { - let ptr = &chg as *const F as *const u64; - [*ptr, *ptr.add(1)] - }; - - if len > EXT_PARALLEL_THRESHOLD { - let new_len = len / 2; - crate::simd_sumcheck::reduce::ext2_soa_product_reduce_only_parallel::( - &f_c0[..len], - &f_c1[..len], - &g_c0[..len], - &g_c1[..len], - &mut sf_c0[..new_len], - &mut sf_c1[..new_len], - &mut sg_c0[..new_len], - &mut sg_c1[..new_len], - chg_raw, - w, - ); - core::mem::swap(&mut f_c0, &mut sf_c0); - core::mem::swap(&mut f_c1, &mut sf_c1); - core::mem::swap(&mut g_c0, &mut sg_c0); - core::mem::swap(&mut g_c1, &mut sg_c1); - len = new_len; - } else { - let new_len = crate::simd_sumcheck::reduce::ext2_soa_product_reduce_only::( - &mut f_c0[..len], - &mut f_c1[..len], - &mut g_c0[..len], - &mut g_c1[..len], - chg_raw, - w, - ); - len = new_len; - } - } - - // SoA → AoS writeback into f and g, then truncate. - let f_out: &mut [u64] = - unsafe { core::slice::from_raw_parts_mut(f.as_mut_ptr() as *mut u64, len * d) }; - let g_out: &mut [u64] = - unsafe { core::slice::from_raw_parts_mut(g.as_mut_ptr() as *mut u64, len * d) }; - for i in 0..len { - f_out[2 * i] = f_c0[i]; - f_out[2 * i + 1] = f_c1[i]; - g_out[2 * i] = g_c0[i]; - g_out[2 * i + 1] = g_c1[i]; - } - f.truncate(len); - g.truncate(len); - } else { - // d == 3 - let w = extract_nonresidue_ext3::(); - - let (mut f_c0, mut f_c1, mut f_c2) = aos_to_soa_ext3(f_u64); - let (mut g_c0, mut g_c1, mut g_c2) = aos_to_soa_ext3(g_u64); - let mut len = n; - - let use_parallel = n > EXT_PARALLEL_THRESHOLD; - let mut sf_c0: Vec = if use_parallel { - vec![0u64; n / 2] - } else { - Vec::new() - }; - let mut sf_c1: Vec = if use_parallel { - vec![0u64; n / 2] - } else { - Vec::new() - }; - let mut sf_c2: Vec = if use_parallel { - vec![0u64; n / 2] - } else { - Vec::new() - }; - let mut sg_c0: Vec = if use_parallel { - vec![0u64; n / 2] - } else { - Vec::new() - }; - let mut sg_c1: Vec = if use_parallel { - vec![0u64; n / 2] - } else { - Vec::new() - }; - let mut sg_c2: Vec = if use_parallel { - vec![0u64; n / 2] - } else { - Vec::new() - }; - - // pending_eval carries round k+1's (a, b) computed by round k's - // fused reduce-and-next-eval kernel, so we only call standalone - // evaluate at round 0. Saves one full read of the source per - // subsequent round. - let mut pending_eval: Option<([u64; 3], [u64; 3])> = None; - for round in 0..max_rounds { - let (a_raw, b_raw) = pending_eval.take().unwrap_or_else(|| { - crate::simd_sumcheck::reduce::ext3_soa_product_evaluate::( - &f_c0[..len], - &f_c1[..len], - &f_c2[..len], - &g_c0[..len], - &g_c1[..len], - &g_c2[..len], - w, - ) - }); - let a: F = unsafe { ext_components_to_field(&a_raw) }; - let b: F = unsafe { ext_components_to_field(&b_raw) }; - let msg = (a, b); - - prover_messages.push(msg); - transcript.write(msg.0); - transcript.write(msg.1); - hook(round, transcript); - let chg: F = transcript.read(); - verifier_messages.push(chg); - - let chg_raw: [u64; 3] = unsafe { - let ptr = &chg as *const F as *const u64; - [*ptr, *ptr.add(1), *ptr.add(2)] - }; - - // Only the last round doesn't need next-eval — there's no - // subsequent round in this partial call. For earlier rounds, - // the fused kernel produces reduced data AND the next round's - // (a, b) in a single data pass. - let is_last = round == max_rounds - 1; - - if len > EXT_PARALLEL_THRESHOLD { - let new_len = len / 2; - if is_last { - crate::simd_sumcheck::reduce::ext3_soa_product_reduce_only_parallel::( - &f_c0[..len], - &f_c1[..len], - &f_c2[..len], - &g_c0[..len], - &g_c1[..len], - &g_c2[..len], - &mut sf_c0[..new_len], - &mut sf_c1[..new_len], - &mut sf_c2[..new_len], - &mut sg_c0[..new_len], - &mut sg_c1[..new_len], - &mut sg_c2[..new_len], - chg_raw, - w, - ); - } else { - let (next_a, next_b) = - crate::simd_sumcheck::reduce::ext3_soa_product_fused_reduce_next_eval_parallel::( - &f_c0[..len], &f_c1[..len], &f_c2[..len], - &g_c0[..len], &g_c1[..len], &g_c2[..len], - &mut sf_c0[..new_len], &mut sf_c1[..new_len], &mut sf_c2[..new_len], - &mut sg_c0[..new_len], &mut sg_c1[..new_len], &mut sg_c2[..new_len], - chg_raw, w, - ); - pending_eval = Some((next_a, next_b)); - } - core::mem::swap(&mut f_c0, &mut sf_c0); - core::mem::swap(&mut f_c1, &mut sf_c1); - core::mem::swap(&mut f_c2, &mut sf_c2); - core::mem::swap(&mut g_c0, &mut sg_c0); - core::mem::swap(&mut g_c1, &mut sg_c1); - core::mem::swap(&mut g_c2, &mut sg_c2); - len = new_len; - } else if is_last { - let new_len = crate::simd_sumcheck::reduce::ext3_soa_product_reduce_only::( - &mut f_c0[..len], - &mut f_c1[..len], - &mut f_c2[..len], - &mut g_c0[..len], - &mut g_c1[..len], - &mut g_c2[..len], - chg_raw, - w, - ); - len = new_len; - } else { - let (next_a, next_b, new_len) = - crate::simd_sumcheck::reduce::ext3_soa_product_fused_reduce_next_eval::( - &mut f_c0[..len], - &mut f_c1[..len], - &mut f_c2[..len], - &mut g_c0[..len], - &mut g_c1[..len], - &mut g_c2[..len], - chg_raw, - w, - ); - pending_eval = Some((next_a, next_b)); - len = new_len; - } - } - - let f_out: &mut [u64] = - unsafe { core::slice::from_raw_parts_mut(f.as_mut_ptr() as *mut u64, len * d) }; - let g_out: &mut [u64] = - unsafe { core::slice::from_raw_parts_mut(g.as_mut_ptr() as *mut u64, len * d) }; - for i in 0..len { - f_out[3 * i] = f_c0[i]; - f_out[3 * i + 1] = f_c1[i]; - f_out[3 * i + 2] = f_c2[i]; - g_out[3 * i] = g_c0[i]; - g_out[3 * i + 1] = g_c1[i]; - g_out[3 * i + 2] = g_c2[i]; - } - f.truncate(len); - g.truncate(len); - } - - let final_evaluations = if f.len() == 1 { - (f[0], g[0]) - } else { - (F::ZERO, F::ZERO) - }; - - Some(crate::multilinear_product::ProductSumcheck { - prover_messages, - verifier_messages, - final_evaluations, - }) -} - // ─── Helpers: field ↔ u64 conversion ──────────────────────────────────────── /// Reinterpret a Montgomery-form `u64` as a field element. diff --git a/src/simd_sumcheck/reduce.rs b/src/simd_sumcheck/reduce.rs index 05ee1ff3..9278b6be 100644 --- a/src/simd_sumcheck/reduce.rs +++ b/src/simd_sumcheck/reduce.rs @@ -11,67 +11,6 @@ use crate::simd_fields::SimdBaseField; /// Uses 4× loop unrolling for instruction-level parallelism. /// (8× was benchmarked but regressed due to register pressure from mul.) /// Stack-allocated deinterleave buffers avoid per-iteration heap allocation. -pub fn reduce_to_vec(src: &[F::Scalar], challenge: F::Scalar) -> Vec { - let n = src.len() / 2; - let mut out = vec![F::ZERO; n]; - reduce_into::(src, &mut out, challenge); - out -} - -/// Core SIMD reduce: reads pairs from `src` and writes folded results to `out`. -/// -/// `src` must have `2 * out.len()` elements. Each pair `(src[2i], src[2i+1])` -/// produces `out[i] = src[2i] + challenge * (src[2i+1] - src[2i])`. -fn reduce_into(src: &[F::Scalar], out: &mut [F::Scalar], challenge: F::Scalar) { - let n = out.len(); - debug_assert_eq!(src.len(), 2 * n); - - let lanes = F::LANES; - let challenge_v = F::splat(challenge); - let step = 4 * lanes; // 4× unroll - let aligned = (n / step) * step; - - let src_ptr = src.as_ptr(); - let out_ptr = out.as_mut_ptr(); - - let mut i = 0; - while i < aligned { - unsafe { - for g in 0..4 { - let (av, bv) = F::load_deinterleaved(src_ptr.add(2 * (i + g * lanes))); - let r = F::add(av, F::mul(challenge_v, F::sub(bv, av))); - F::store(out_ptr.add(i + g * lanes), r); - } - } - i += step; - } - - // Handle remaining full SIMD vectors - while i + lanes <= n { - unsafe { - let (av, bv) = F::load_deinterleaved(src_ptr.add(2 * i)); - let r = F::add(av, F::mul(challenge_v, F::sub(bv, av))); - F::store(out_ptr.add(i), r); - } - i += lanes; - } - - // Scalar tail - while i < n { - let a = src[2 * i]; - let b = src[2 * i + 1]; - let diff = F::scalar_sub(b, a); - let scaled = F::scalar_mul(challenge, diff); - out[i] = F::scalar_add(a, scaled); - i += 1; - } -} - -/// Reduce both f and g in-place in a single interleaved streaming pass. -/// -/// Instead of two separate `reduce_in_place` calls (2 full data passes), -/// this reads f and g pairs together, saving cache/bandwidth. -/// Returns the output length `n`. pub fn reduce_both_in_place( f: &mut [F::Scalar], g: &mut [F::Scalar], @@ -296,614 +235,48 @@ pub fn reduce_and_evaluate( (even_sum, odd_sum, n) } - -/// Core fused reduce+evaluate on a src→out pair (not in-place). -/// -/// Returns `(even_sum, odd_sum)` for the chunk. -fn reduce_and_evaluate_into( - src: &[F::Scalar], - out: &mut [F::Scalar], - challenge: F::Scalar, -) -> (F::Scalar, F::Scalar) { - let n = out.len(); - debug_assert_eq!(src.len(), 2 * n); - - let lanes = F::LANES; - let challenge_v = F::splat(challenge); - let zero = F::splat(F::ZERO); - let mut acc0 = zero; - let mut acc1 = zero; - let mut acc2 = zero; - let mut acc3 = zero; - let mut carry0 = zero; - let mut carry1 = zero; - let mut carry2 = zero; - let mut carry3 = zero; - - let step = 4 * lanes; - let aligned = (n / step) * step; - - let src_ptr = src.as_ptr(); - let out_ptr = out.as_mut_ptr(); - - let mut i = 0; - while i < aligned { - unsafe { - let (av0, bv0) = F::load_deinterleaved(src_ptr.add(2 * i)); - let r0 = F::add(av0, F::mul(challenge_v, F::sub(bv0, av0))); - F::store(out_ptr.add(i), r0); - let sum0 = F::add_wrapping(acc0, r0); - carry0 = F::add_wrapping(carry0, F::carry_mask(sum0, acc0)); - acc0 = sum0; - - let (av1, bv1) = F::load_deinterleaved(src_ptr.add(2 * (i + lanes))); - let r1 = F::add(av1, F::mul(challenge_v, F::sub(bv1, av1))); - F::store(out_ptr.add(i + lanes), r1); - let sum1 = F::add_wrapping(acc1, r1); - carry1 = F::add_wrapping(carry1, F::carry_mask(sum1, acc1)); - acc1 = sum1; - - let (av2, bv2) = F::load_deinterleaved(src_ptr.add(2 * (i + 2 * lanes))); - let r2 = F::add(av2, F::mul(challenge_v, F::sub(bv2, av2))); - F::store(out_ptr.add(i + 2 * lanes), r2); - let sum2 = F::add_wrapping(acc2, r2); - carry2 = F::add_wrapping(carry2, F::carry_mask(sum2, acc2)); - acc2 = sum2; - - let (av3, bv3) = F::load_deinterleaved(src_ptr.add(2 * (i + 3 * lanes))); - let r3 = F::add(av3, F::mul(challenge_v, F::sub(bv3, av3))); - F::store(out_ptr.add(i + 3 * lanes), r3); - let sum3 = F::add_wrapping(acc3, r3); - carry3 = F::add_wrapping(carry3, F::carry_mask(sum3, acc3)); - acc3 = sum3; - } - i += step; - } - - while i + lanes <= n { - unsafe { - let (av, bv) = F::load_deinterleaved(src_ptr.add(2 * i)); - let r = F::add(av, F::mul(challenge_v, F::sub(bv, av))); - F::store(out_ptr.add(i), r); - acc0 = F::add(acc0, r); - } - i += lanes; - } - - let red0 = F::reduce_carry(acc0, carry0); - let red1 = F::reduce_carry(acc1, carry1); - let red2 = F::reduce_carry(acc2, carry2); - let red3 = F::reduce_carry(acc3, carry3); - let total = F::add(F::add(red0, red1), F::add(red2, red3)); - - let mut lanes_buf = [F::ZERO; 32]; - debug_assert!(F::LANES <= 16); - unsafe { F::store(lanes_buf.as_mut_ptr(), total) }; - - let mut even_sum = F::ZERO; - let mut odd_sum = F::ZERO; - for (j, &val) in lanes_buf.iter().enumerate().take(F::LANES) { - if j % 2 == 0 { - even_sum = F::scalar_add(even_sum, val); - } else { - odd_sum = F::scalar_add(odd_sum, val); - } - } - - while i < n { - let a = src[2 * i]; - let b = src[2 * i + 1]; - let diff = F::scalar_sub(b, a); - let scaled = F::scalar_mul(challenge, diff); - let r = F::scalar_add(a, scaled); - out[i] = r; - if i % 2 == 0 { - even_sum = F::scalar_add(even_sum, r); - } else { - odd_sum = F::scalar_add(odd_sum, r); - } - i += 1; - } - - (even_sum, odd_sum) -} - -/// Parallel fused reduce + evaluate using rayon. -/// -/// Allocates a new output buffer, processes chunks in parallel, and returns -/// `(even_sum, odd_sum, output_vec)`. -#[cfg(feature = "parallel")] -pub fn reduce_and_evaluate_parallel( - src: &[F::Scalar], - challenge: F::Scalar, -) -> (F::Scalar, F::Scalar, Vec) { - use rayon::prelude::*; - - let n = src.len() / 2; - let chunk_size = 32_768_usize; - - if n <= chunk_size { - let mut out = vec![F::ZERO; n]; - let (e, o) = reduce_and_evaluate_into::(src, &mut out, challenge); - return (e, o, out); - } - - let mut out = vec![F::ZERO; n]; - let pair_chunk = chunk_size * 2; - - let (even, odd) = out - .par_chunks_mut(chunk_size) - .enumerate() - .map(|(idx, out_chunk)| { - let src_start = idx * pair_chunk; - let src_end = (src_start + out_chunk.len() * 2).min(src.len()); - reduce_and_evaluate_into::(&src[src_start..src_end], out_chunk, challenge) - }) - .reduce( - || (F::ZERO, F::ZERO), - |(e1, o1), (e2, o2)| (F::scalar_add(e1, e2), F::scalar_add(o1, o2)), - ); - - (even, odd, out) -} - -/// Non-parallel fallback. -#[cfg(not(feature = "parallel"))] -pub fn reduce_and_evaluate_parallel( - src: &[F::Scalar], - challenge: F::Scalar, -) -> (F::Scalar, F::Scalar, Vec) { - let n = src.len() / 2; - let mut out = vec![F::ZERO; n]; - let (e, o) = reduce_and_evaluate_into::(src, &mut out, challenge); - (e, o, out) -} - -/// Parallel SIMD reduce (producing a new Vec). -/// -/// Pre-allocates the output and writes directly to non-overlapping slices -/// via `par_chunks_mut`, avoiding per-chunk Vec allocations. -#[cfg(feature = "parallel")] -pub fn reduce_parallel( - src: &[F::Scalar], - challenge: F::Scalar, -) -> Vec { - use rayon::prelude::*; - - let n = src.len() / 2; - let chunk_size = 32_768_usize; - - if n <= chunk_size { - return reduce_to_vec::(src, challenge); - } - - let mut out = vec![F::ZERO; n]; - let pair_chunk = chunk_size * 2; - - out.par_chunks_mut(chunk_size) - .enumerate() - .for_each(|(idx, out_chunk)| { - let src_start = idx * pair_chunk; - let src_end = src_start + out_chunk.len() * 2; - reduce_into::(&src[src_start..src_end], out_chunk, challenge); - }); - - out -} - -/// Non-parallel fallback. -#[cfg(not(feature = "parallel"))] -pub fn reduce_parallel( - src: &[F::Scalar], - challenge: F::Scalar, -) -> Vec { - reduce_to_vec::(src, challenge) -} - -// ── Extension field reduce ────────────────────────────────────────────────── - -/// Degree-2 extension reduce in-place. -/// -/// `src` contains `n` extension elements as `2*n` consecutive u64s in AoS layout. -/// `challenge` is the extension challenge as `[c0, c1]` raw u64s. -/// `w` is the nonresidue in Montgomery form. -/// -/// For each pair `(a, b)`: `result = a + challenge * (b - a)` using ext2 multiply. -/// Returns the new length in u64s (`n * ext_degree / 2 = n`). -/// Degree-2 extension reduce, producing a new Vec (parallel-friendly). -/// -/// Each pair of adjacent extension elements `(a, b)` is folded: -/// `result = a + challenge * (b - a)` using degree-2 Karatsuba. -/// -/// `src` is `n_elems * 2` u64s in AoS layout. Returns `n_elems/2 * 2` u64s. -#[cfg(feature = "parallel")] -pub fn ext2_reduce_parallel(src: &[u64], challenge: [u64; 2], w: u64) -> Vec { - use rayon::prelude::*; - - let ext_deg = 2; - let pair_u64s = 2 * ext_deg; // 4 u64s per pair (even + odd element) - let n_pairs = src.len() / pair_u64s; - let chunk_pairs = 16_384_usize; - let chunk_u64s = chunk_pairs * pair_u64s; - - if n_pairs <= chunk_pairs { - return ext2_reduce_chunk(src, challenge, w); - } - - src.par_chunks(chunk_u64s) - .flat_map(|chunk| ext2_reduce_chunk(chunk, challenge, w)) - .collect() -} - -#[cfg(not(feature = "parallel"))] -pub fn ext2_reduce_parallel(src: &[u64], challenge: [u64; 2], w: u64) -> Vec { - ext2_reduce_chunk(src, challenge, w) -} - -/// Process a chunk of pairs for ext2 reduce. -/// -/// Uses precomputed `c1w = c1 * w` for the "mul-by-constant matrix" approach: -/// 4 base muls + 2 adds instead of Karatsuba's 3 muls + 5 adds. +#[allow(dead_code)] #[cfg_attr( not(any( target_arch = "aarch64", all(target_arch = "x86_64", target_feature = "avx512ifma") )), - allow(unused_mut, unused_variables) + allow(unused_variables) )] -fn ext2_reduce_chunk(src: &[u64], challenge: [u64; 2], w: u64) -> Vec { +pub fn ext2_reduce_in_place>( + src: &mut [u64], + challenge: [u64; 2], + w: u64, +) -> usize { let ext_deg = 2; let n_elems = src.len() / ext_deg; let n_pairs = n_elems / 2; - let mut out = vec![0u64; n_pairs * ext_deg]; #[cfg(target_arch = "aarch64")] { - use crate::simd_fields::goldilocks::neon::GoldilocksNeon; - use crate::simd_fields::SimdBaseField; + use crate::simd_fields::goldilocks::neon::{ext2_scalar_mul, GoldilocksNeon}; - // Precompute c1*w once for this chunk (same challenge for all pairs) - let c0 = challenge[0]; - let c1 = challenge[1]; - let c1w = GoldilocksNeon::scalar_mul(c1, w); + let _w_vec = GoldilocksNeon::splat(w); + let _chg_v = [ + GoldilocksNeon::splat(challenge[0]), + GoldilocksNeon::splat(challenge[1]), + ]; + // With NEON LANES=2 and degree-2: one SIMD load = one extension element. + // Process pairs: load even (2 u64s), load odd (2 u64s), compute result. + let ptr = src.as_mut_ptr(); for i in 0..n_pairs { let a_off = (2 * i) * ext_deg; let b_off = (2 * i + 1) * ext_deg; let out_off = i * ext_deg; - let d0 = GoldilocksNeon::scalar_sub(src[b_off], src[a_off]); - let d1 = GoldilocksNeon::scalar_sub(src[b_off + 1], src[a_off + 1]); - - // (c0, c1) * (d0, d1) mod (X² - w) using precomputed c1w: - // prod0 = c0*d0 + c1w*d1 - // prod1 = c0*d1 + c1*d0 - let prod0 = GoldilocksNeon::scalar_add( - GoldilocksNeon::scalar_mul(c0, d0), - GoldilocksNeon::scalar_mul(c1w, d1), - ); - let prod1 = GoldilocksNeon::scalar_add( - GoldilocksNeon::scalar_mul(c0, d1), - GoldilocksNeon::scalar_mul(c1, d0), - ); - - out[out_off] = GoldilocksNeon::scalar_add(src[a_off], prod0); - out[out_off + 1] = GoldilocksNeon::scalar_add(src[a_off + 1], prod1); - } - } - - #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] - { - use crate::simd_fields::goldilocks::avx512::{ - ext2_reduce_8pairs, ext2_scalar_mul, GoldilocksAvx512, - }; - - let challenge_c0 = GoldilocksAvx512::splat(challenge[0]); - let challenge_c1 = GoldilocksAvx512::splat(challenge[1]); - let w_vec = GoldilocksAvx512::splat(w); - - // Process 8 pairs at a time (32 input u64s → 16 output u64s) - let simd_pairs = (n_pairs / 8) * 8; - let mut i = 0; - while i < simd_pairs { - let src_off = (2 * i) * ext_deg; // 4 u64s per pair, 8 pairs = 32 u64s - let out_off = i * ext_deg; // 2 u64s per result, 8 results = 16 u64s unsafe { - ext2_reduce_8pairs( - src.as_ptr().add(src_off), - out.as_mut_ptr().add(out_off), - challenge_c0, - challenge_c1, - w_vec, - ); - } - i += 8; - } - - // Scalar tail for remaining pairs - while i < n_pairs { - let a_off = (2 * i) * ext_deg; - let b_off = (2 * i + 1) * ext_deg; - let out_off = i * ext_deg; - - let diff = [ - GoldilocksAvx512::scalar_sub(src[b_off], src[a_off]), - GoldilocksAvx512::scalar_sub(src[b_off + 1], src[a_off + 1]), - ]; - let prod = ext2_scalar_mul(diff, challenge, w); - out[out_off] = GoldilocksAvx512::scalar_add(src[a_off], prod[0]); - out[out_off + 1] = GoldilocksAvx512::scalar_add(src[a_off + 1], prod[1]); - i += 1; - } - } + // Load even and odd extension elements + let a_v = GoldilocksNeon::load(ptr.add(a_off) as *const u64); + let b_v = GoldilocksNeon::load(ptr.add(b_off) as *const u64); - out -} - -/// Degree-2 extension reduce in-place (single-threaded, for small inputs). -/// Fused ext2 reduce + next-round evaluate. -/// -/// In one pass over the data: -/// 1. Reduces each pair (a, b) → result = a + challenge * (b - a) using ext2 Karatsuba -/// 2. Accumulates even/odd sums of the reduced output (next round's evaluate) -/// 3. Stores reduced data in-place (front half of src) -/// -/// Returns `(even_components, odd_components, new_length_u64)` where -/// even/odd are `[c0, c1]` raw u64 component sums. -/// -/// This eliminates one full data pass per round vs separate reduce + evaluate. -#[cfg(target_arch = "aarch64")] -pub fn ext2_reduce_and_evaluate( - src: &mut [u64], - challenge: [u64; 2], - w: u64, -) -> ([u64; 2], [u64; 2], usize) { - use crate::simd_fields::goldilocks::neon::GoldilocksNeon; - - let ext_deg = 2; - let n_elems = src.len() / ext_deg; - let n_pairs = n_elems / 2; - let n_out_elems = n_pairs; - - // Precompute c1*w once - let c0 = challenge[0]; - let c1 = challenge[1]; - let c1w = GoldilocksNeon::scalar_mul(c1, w); - - let mut even_c0: u64 = 0; - let mut even_c1: u64 = 0; - let mut odd_c0: u64 = 0; - let mut odd_c1: u64 = 0; - - for i in 0..n_pairs { - let a_off = (2 * i) * ext_deg; - let b_off = (2 * i + 1) * ext_deg; - let out_off = i * ext_deg; - - let a = [src[a_off], src[a_off + 1]]; - let b = [src[b_off], src[b_off + 1]]; - - let d0 = GoldilocksNeon::scalar_sub(b[0], a[0]); - let d1 = GoldilocksNeon::scalar_sub(b[1], a[1]); - - // Precomputed mul-by-constant: 4 base muls + 2 adds - let prod0 = GoldilocksNeon::scalar_add( - GoldilocksNeon::scalar_mul(c0, d0), - GoldilocksNeon::scalar_mul(c1w, d1), - ); - let prod1 = GoldilocksNeon::scalar_add( - GoldilocksNeon::scalar_mul(c0, d1), - GoldilocksNeon::scalar_mul(c1, d0), - ); - let prod = [prod0, prod1]; - - // result = a + product - let r0 = GoldilocksNeon::scalar_add(a[0], prod[0]); - let r1 = GoldilocksNeon::scalar_add(a[1], prod[1]); - - // Store reduced result - src[out_off] = r0; - src[out_off + 1] = r1; - - // Accumulate into even/odd based on output extension element index - if i % 2 == 0 { - even_c0 = GoldilocksNeon::scalar_add(even_c0, r0); - even_c1 = GoldilocksNeon::scalar_add(even_c1, r1); - } else { - odd_c0 = GoldilocksNeon::scalar_add(odd_c0, r0); - odd_c1 = GoldilocksNeon::scalar_add(odd_c1, r1); - } - } - - ([even_c0, even_c1], [odd_c0, odd_c1], n_out_elems * ext_deg) -} - -/// Fused ext3 reduce + next-round evaluate. -/// -/// Same concept as ext2 but for degree-3 extensions (6 Karatsuba base muls). -#[cfg(target_arch = "aarch64")] -pub fn ext3_reduce_and_evaluate( - src: &mut [u64], - challenge: [u64; 3], - w: u64, -) -> ([u64; 3], [u64; 3], usize) { - use crate::simd_fields::goldilocks::neon::{ext3_scalar_mul, GoldilocksNeon}; - - let ext_deg = 3; - let n_elems = src.len() / ext_deg; - let n_pairs = n_elems / 2; - let n_out_elems = n_pairs; - - let mut even = [0u64; 3]; - let mut odd = [0u64; 3]; - - for i in 0..n_pairs { - let a_off = (2 * i) * ext_deg; - let b_off = (2 * i + 1) * ext_deg; - let out_off = i * ext_deg; - - let a = [src[a_off], src[a_off + 1], src[a_off + 2]]; - let b = [src[b_off], src[b_off + 1], src[b_off + 2]]; - - let diff = [ - GoldilocksNeon::scalar_sub(b[0], a[0]), - GoldilocksNeon::scalar_sub(b[1], a[1]), - GoldilocksNeon::scalar_sub(b[2], a[2]), - ]; - - let prod = ext3_scalar_mul(diff, challenge, w); - - let r = [ - GoldilocksNeon::scalar_add(a[0], prod[0]), - GoldilocksNeon::scalar_add(a[1], prod[1]), - GoldilocksNeon::scalar_add(a[2], prod[2]), - ]; - - src[out_off] = r[0]; - src[out_off + 1] = r[1]; - src[out_off + 2] = r[2]; - - if i % 2 == 0 { - for c in 0..3 { - even[c] = GoldilocksNeon::scalar_add(even[c], r[c]); - } - } else { - for c in 0..3 { - odd[c] = GoldilocksNeon::scalar_add(odd[c], r[c]); - } - } - } - - (even, odd, n_out_elems * ext_deg) -} - -/// Fused inner-product round: evaluate (a, b) + reduce both f and g in one pass. -/// -/// In a single streaming pass over f and g: -/// 1. Loads (f0,f1) and (g0,g1) pairs via deinterleaved reads -/// 2. Accumulates a += f0*g0, b += f0*g1 + f1*g0 (product evaluate) -/// 3. Stores f' = f0 + r*(f1-f0) and g' = g0 + r*(g1-g0) in front halves -/// -/// Returns (a, b, new_len) where a,b are the prover message coefficients. -pub fn product_reduce_and_evaluate( - f: &mut [F::Scalar], - g: &mut [F::Scalar], - challenge: F::Scalar, -) -> (F::Scalar, F::Scalar, usize) { - let n = f.len() / 2; - let lanes = F::LANES; - let challenge_v = F::splat(challenge); - - let mut acc_a = F::splat(F::ZERO); // Σ f_even * g_even - let mut acc_b = F::splat(F::ZERO); // Σ (f_even*g_odd + f_odd*g_even) - - let f_ptr = f.as_ptr(); - let g_ptr = g.as_ptr(); - let f_out = f.as_mut_ptr(); - let g_out = g.as_mut_ptr(); - - let step = 4 * lanes; - let aligned = (n / step) * step; - - let mut i = 0; - while i < aligned { - unsafe { - for u in 0..4 { - let off = i + u * lanes; - let (fe, fo) = F::load_deinterleaved(f_ptr.add(2 * off)); - let (ge, go) = F::load_deinterleaved(g_ptr.add(2 * off)); - - // Accumulate product evaluate - acc_a = F::add(acc_a, F::mul(fe, ge)); - acc_b = F::add(acc_b, F::add(F::mul(fe, go), F::mul(fo, ge))); - - // Reduce: f' = fe + r*(fo - fe), g' = ge + r*(go - ge) - let f_red = F::add(fe, F::mul(challenge_v, F::sub(fo, fe))); - let g_red = F::add(ge, F::mul(challenge_v, F::sub(go, ge))); - F::store(f_out.add(off), f_red); - F::store(g_out.add(off), g_red); - } - } - i += step; - } - - // Horizontal sum of SIMD accumulators - let mut buf = [F::ZERO; 32]; - let mut a_sum = F::ZERO; - let mut b_sum = F::ZERO; - unsafe { F::store(buf.as_mut_ptr(), acc_a) }; - for &v in buf.iter().take(lanes) { - a_sum = F::scalar_add(a_sum, v); - } - unsafe { F::store(buf.as_mut_ptr(), acc_b) }; - for &v in buf.iter().take(lanes) { - b_sum = F::scalar_add(b_sum, v); - } - - // Scalar tail: evaluate + reduce for remaining pairs - while i < n { - let fe = f[2 * i]; - let fo = f[2 * i + 1]; - let ge = g[2 * i]; - let go = g[2 * i + 1]; - - a_sum = F::scalar_add(a_sum, F::scalar_mul(fe, ge)); - b_sum = F::scalar_add( - b_sum, - F::scalar_add(F::scalar_mul(fe, go), F::scalar_mul(fo, ge)), - ); - - f[i] = F::scalar_add(fe, F::scalar_mul(challenge, F::scalar_sub(fo, fe))); - g[i] = F::scalar_add(ge, F::scalar_mul(challenge, F::scalar_sub(go, ge))); - - i += 1; - } - - (a_sum, b_sum, n) -} - -#[allow(dead_code)] -#[cfg_attr( - not(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") - )), - allow(unused_variables) -)] -pub fn ext2_reduce_in_place>( - src: &mut [u64], - challenge: [u64; 2], - w: u64, -) -> usize { - let ext_deg = 2; - let n_elems = src.len() / ext_deg; - let n_pairs = n_elems / 2; - - #[cfg(target_arch = "aarch64")] - { - use crate::simd_fields::goldilocks::neon::{ext2_scalar_mul, GoldilocksNeon}; - - let _w_vec = GoldilocksNeon::splat(w); - let _chg_v = [ - GoldilocksNeon::splat(challenge[0]), - GoldilocksNeon::splat(challenge[1]), - ]; - - // With NEON LANES=2 and degree-2: one SIMD load = one extension element. - // Process pairs: load even (2 u64s), load odd (2 u64s), compute result. - let ptr = src.as_mut_ptr(); - for i in 0..n_pairs { - let a_off = (2 * i) * ext_deg; - let b_off = (2 * i + 1) * ext_deg; - let out_off = i * ext_deg; - - unsafe { - // Load even and odd extension elements - let a_v = GoldilocksNeon::load(ptr.add(a_off) as *const u64); - let b_v = GoldilocksNeon::load(ptr.add(b_off) as *const u64); - - // diff = b - a (component-wise, both components in one SIMD op) - let diff_v = GoldilocksNeon::sub(b_v, a_v); + // diff = b - a (component-wise, both components in one SIMD op) + let diff_v = GoldilocksNeon::sub(b_v, a_v); // For ext2 multiply, we need SoA: separate c0 and c1 components. // With LANES=2, the vector holds [c0, c1] — need to broadcast @@ -921,2844 +294,152 @@ pub fn ext2_reduce_in_place>( let r0 = GoldilocksNeon::scalar_add(a0, prod[0]); let r1 = GoldilocksNeon::scalar_add(a1, prod[1]); - *ptr.add(out_off) = r0; - *ptr.add(out_off + 1) = r1; - } - } - } - - #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] - { - use crate::simd_fields::goldilocks::avx512::{ - ext2_reduce_8pairs, ext2_scalar_mul, GoldilocksAvx512, - }; - - let challenge_c0 = GoldilocksAvx512::splat(challenge[0]); - let challenge_c1 = GoldilocksAvx512::splat(challenge[1]); - let w_vec = GoldilocksAvx512::splat(w); - - let ptr = src.as_mut_ptr(); - let simd_pairs = (n_pairs / 8) * 8; - let mut i = 0; - - // Safe in-place: ext2_reduce_8pairs loads all 32 u64s into registers - // before writing 16 u64s, and output region is always <= input region. - while i < simd_pairs { - let src_off = (2 * i) * ext_deg; - let out_off = i * ext_deg; - unsafe { - ext2_reduce_8pairs( - ptr.add(src_off) as *const u64, - ptr.add(out_off), - challenge_c0, - challenge_c1, - w_vec, - ); - } - i += 8; - } - - while i < n_pairs { - let a_off = (2 * i) * ext_deg; - let b_off = (2 * i + 1) * ext_deg; - let out_off = i * ext_deg; - - let diff = [ - GoldilocksAvx512::scalar_sub(src[b_off], src[a_off]), - GoldilocksAvx512::scalar_sub(src[b_off + 1], src[a_off + 1]), - ]; - let prod = ext2_scalar_mul(diff, challenge, w); - - src[out_off] = GoldilocksAvx512::scalar_add(src[a_off], prod[0]); - src[out_off + 1] = GoldilocksAvx512::scalar_add(src[a_off + 1], prod[1]); - i += 1; - } - } - - n_pairs * ext_deg -} - -// ── Degree-3 extension field reduce ──────────────────────────────────────── - -/// Degree-3 extension reduce, producing a new Vec (parallel-friendly). -/// -/// Each pair of adjacent extension elements `(a, b)` is folded: -/// `result = a + challenge * (b - a)` using degree-3 Karatsuba. -/// -/// `src` is `n_elems * 3` u64s in AoS layout. Returns `n_elems/2 * 3` u64s. -#[cfg(feature = "parallel")] -pub fn ext3_reduce_parallel(src: &[u64], challenge: [u64; 3], w: u64) -> Vec { - use rayon::prelude::*; - - let ext_deg = 3; - let pair_u64s = 2 * ext_deg; // 6 u64s per pair (even + odd element) - let n_pairs = src.len() / pair_u64s; - let chunk_pairs = 16_384_usize; - let chunk_u64s = chunk_pairs * pair_u64s; - - if n_pairs <= chunk_pairs { - return ext3_reduce_chunk(src, challenge, w); - } - - src.par_chunks(chunk_u64s) - .flat_map(|chunk| ext3_reduce_chunk(chunk, challenge, w)) - .collect() -} - -#[cfg(not(feature = "parallel"))] -pub fn ext3_reduce_parallel(src: &[u64], challenge: [u64; 3], w: u64) -> Vec { - ext3_reduce_chunk(src, challenge, w) -} - -/// Process a chunk of pairs for ext3 reduce. -#[cfg_attr( - not(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") - )), - allow(unused_mut, unused_variables) -)] -fn ext3_reduce_chunk(src: &[u64], challenge: [u64; 3], w: u64) -> Vec { - let ext_deg = 3; - let n_elems = src.len() / ext_deg; - let n_pairs = n_elems / 2; - let mut out = vec![0u64; n_pairs * ext_deg]; - - #[cfg(target_arch = "aarch64")] - { - use crate::simd_fields::goldilocks::neon::{ext3_scalar_mul, GoldilocksNeon}; - - for i in 0..n_pairs { - let a_off = (2 * i) * ext_deg; - let b_off = (2 * i + 1) * ext_deg; - let out_off = i * ext_deg; - - let diff = [ - GoldilocksNeon::scalar_sub(src[b_off], src[a_off]), - GoldilocksNeon::scalar_sub(src[b_off + 1], src[a_off + 1]), - GoldilocksNeon::scalar_sub(src[b_off + 2], src[a_off + 2]), - ]; - let prod = ext3_scalar_mul(diff, challenge, w); - out[out_off] = GoldilocksNeon::scalar_add(src[a_off], prod[0]); - out[out_off + 1] = GoldilocksNeon::scalar_add(src[a_off + 1], prod[1]); - out[out_off + 2] = GoldilocksNeon::scalar_add(src[a_off + 2], prod[2]); - } - } - - #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] - { - use crate::simd_fields::goldilocks::avx512::{ - ext3_reduce_8pairs, ext3_scalar_mul, GoldilocksAvx512, - }; - - let challenge_v = [ - GoldilocksAvx512::splat(challenge[0]), - GoldilocksAvx512::splat(challenge[1]), - GoldilocksAvx512::splat(challenge[2]), - ]; - let w_vec = GoldilocksAvx512::splat(w); - - // Process 8 pairs at a time (48 input u64s → 24 output u64s) - let simd_pairs = (n_pairs / 8) * 8; - let mut i = 0; - while i < simd_pairs { - let src_off = (2 * i) * ext_deg; - let out_off = i * ext_deg; - unsafe { - ext3_reduce_8pairs( - src.as_ptr().add(src_off), - out.as_mut_ptr().add(out_off), - challenge_v, - w_vec, - ); - } - i += 8; - } - - // Scalar tail for remaining pairs - while i < n_pairs { - let a_off = (2 * i) * ext_deg; - let b_off = (2 * i + 1) * ext_deg; - let out_off = i * ext_deg; - - let diff = [ - GoldilocksAvx512::scalar_sub(src[b_off], src[a_off]), - GoldilocksAvx512::scalar_sub(src[b_off + 1], src[a_off + 1]), - GoldilocksAvx512::scalar_sub(src[b_off + 2], src[a_off + 2]), - ]; - let prod = ext3_scalar_mul(diff, challenge, w); - out[out_off] = GoldilocksAvx512::scalar_add(src[a_off], prod[0]); - out[out_off + 1] = GoldilocksAvx512::scalar_add(src[a_off + 1], prod[1]); - out[out_off + 2] = GoldilocksAvx512::scalar_add(src[a_off + 2], prod[2]); - i += 1; - } - } - - out -} - -/// Degree-3 extension reduce in-place (single-threaded, for small inputs). -#[allow(dead_code)] -#[cfg_attr( - not(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") - )), - allow(unused_variables) -)] -pub fn ext3_reduce_in_place>( - src: &mut [u64], - challenge: [u64; 3], - w: u64, -) -> usize { - let ext_deg = 3; - let n_elems = src.len() / ext_deg; - let n_pairs = n_elems / 2; - - #[cfg(target_arch = "aarch64")] - { - use crate::simd_fields::goldilocks::neon::{ext3_scalar_mul, GoldilocksNeon}; - - for i in 0..n_pairs { - let a_off = (2 * i) * ext_deg; - let b_off = (2 * i + 1) * ext_deg; - let out_off = i * ext_deg; - - let diff = [ - GoldilocksNeon::scalar_sub(src[b_off], src[a_off]), - GoldilocksNeon::scalar_sub(src[b_off + 1], src[a_off + 1]), - GoldilocksNeon::scalar_sub(src[b_off + 2], src[a_off + 2]), - ]; - let prod = ext3_scalar_mul(diff, challenge, w); - src[out_off] = GoldilocksNeon::scalar_add(src[a_off], prod[0]); - src[out_off + 1] = GoldilocksNeon::scalar_add(src[a_off + 1], prod[1]); - src[out_off + 2] = GoldilocksNeon::scalar_add(src[a_off + 2], prod[2]); - } - } - - #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] - { - use crate::simd_fields::goldilocks::avx512::{ - ext3_reduce_8pairs, ext3_scalar_mul, GoldilocksAvx512, - }; - - let challenge_v = [ - GoldilocksAvx512::splat(challenge[0]), - GoldilocksAvx512::splat(challenge[1]), - GoldilocksAvx512::splat(challenge[2]), - ]; - let w_vec = GoldilocksAvx512::splat(w); - - let ptr = src.as_mut_ptr(); - let simd_pairs = (n_pairs / 8) * 8; - let mut i = 0; - - // Safe in-place: ext3_reduce_8pairs gathers all 48 u64s into registers - // before scattering 24 u64s, and output region is always <= input region. - while i < simd_pairs { - let src_off = (2 * i) * ext_deg; - let out_off = i * ext_deg; - unsafe { - ext3_reduce_8pairs( - ptr.add(src_off) as *const u64, - ptr.add(out_off), - challenge_v, - w_vec, - ); - } - i += 8; - } - - while i < n_pairs { - let a_off = (2 * i) * ext_deg; - let b_off = (2 * i + 1) * ext_deg; - let out_off = i * ext_deg; - - let diff = [ - GoldilocksAvx512::scalar_sub(src[b_off], src[a_off]), - GoldilocksAvx512::scalar_sub(src[b_off + 1], src[a_off + 1]), - GoldilocksAvx512::scalar_sub(src[b_off + 2], src[a_off + 2]), - ]; - let prod = ext3_scalar_mul(diff, challenge, w); - src[out_off] = GoldilocksAvx512::scalar_add(src[a_off], prod[0]); - src[out_off + 1] = GoldilocksAvx512::scalar_add(src[a_off + 1], prod[1]); - src[out_off + 2] = GoldilocksAvx512::scalar_add(src[a_off + 2], prod[2]); - i += 1; - } - } - - n_pairs * ext_deg -} - -// ── SoA (Struct-of-Arrays) extension field reduce ───────────────────────── -// -// SoA layout stores each component of an extension field element in a separate -// contiguous array: for ext2 with n elements, c0[0..n] and c1[0..n]. -// This eliminates all shuffle overhead (permutex2var, gather/scatter) since -// each component array can be processed with aligned contiguous loads/stores. - -/// SoA ext2 reduce in-place. -/// -/// Each component array `c0`, `c1` has `len` elements. Adjacent pairs -/// `(elem 2i, elem 2i+1)` are folded: `result = even + challenge * (odd - even)`. -/// The ext2 multiply uses a precomputed `c1*w` for 4 base muls + 2 adds -/// (vs Karatsuba 3 muls + 1 w-mul + 5 adds — same mul count, fewer adds). -/// -/// Returns the new length (= len/2). -pub fn ext2_soa_reduce_in_place>( - c0: &mut [u64], - c1: &mut [u64], - challenge: [u64; 2], - w: u64, -) -> usize { - let len = c0.len(); - debug_assert_eq!(len, c1.len()); - let n = len / 2; - - let ch0 = F::splat(challenge[0]); - let ch1 = F::splat(challenge[1]); - let ch1w = F::splat(F::scalar_mul(challenge[1], w)); - - let lanes = F::LANES; - let step = 4 * lanes; - let aligned = (n / step) * step; - - let c0_ptr = c0.as_ptr(); - let c1_ptr = c1.as_ptr(); - let c0_out = c0.as_mut_ptr(); - let c1_out = c1.as_mut_ptr(); - - let mut i = 0; - while i < aligned { - unsafe { - for g in 0..4 { - let off = i + g * lanes; - let (c0_even, c0_odd) = F::load_deinterleaved(c0_ptr.add(2 * off)); - let (c1_even, c1_odd) = F::load_deinterleaved(c1_ptr.add(2 * off)); - - let d0 = F::sub(c0_odd, c0_even); - let d1 = F::sub(c1_odd, c1_even); - - // challenge * diff = (ch0*d0 + ch1w*d1, ch0*d1 + ch1*d0) - let prod_c0 = F::add(F::mul(ch0, d0), F::mul(ch1w, d1)); - let prod_c1 = F::add(F::mul(ch0, d1), F::mul(ch1, d0)); - - F::store(c0_out.add(off), F::add(c0_even, prod_c0)); - F::store(c1_out.add(off), F::add(c1_even, prod_c1)); - } - } - i += step; - } - - while i + lanes <= n { - unsafe { - let (c0_even, c0_odd) = F::load_deinterleaved(c0_ptr.add(2 * i)); - let (c1_even, c1_odd) = F::load_deinterleaved(c1_ptr.add(2 * i)); - - let d0 = F::sub(c0_odd, c0_even); - let d1 = F::sub(c1_odd, c1_even); - - let prod_c0 = F::add(F::mul(ch0, d0), F::mul(ch1w, d1)); - let prod_c1 = F::add(F::mul(ch0, d1), F::mul(ch1, d0)); - - F::store(c0_out.add(i), F::add(c0_even, prod_c0)); - F::store(c1_out.add(i), F::add(c1_even, prod_c1)); - } - i += lanes; - } - - // Scalar tail - let ch1w_s = F::scalar_mul(challenge[1], w); - while i < n { - let d0 = F::scalar_sub(c0[2 * i + 1], c0[2 * i]); - let d1 = F::scalar_sub(c1[2 * i + 1], c1[2 * i]); - - let prod_c0 = F::scalar_add(F::scalar_mul(challenge[0], d0), F::scalar_mul(ch1w_s, d1)); - let prod_c1 = F::scalar_add( - F::scalar_mul(challenge[0], d1), - F::scalar_mul(challenge[1], d0), - ); - - c0[i] = F::scalar_add(c0[2 * i], prod_c0); - c1[i] = F::scalar_add(c1[2 * i], prod_c1); - i += 1; - } - - n -} - -/// Fused SoA ext2 reduce + next-round evaluate in a single pass. -/// -/// Reduces pairs in-place and simultaneously accumulates even/odd component sums -/// for the next round's evaluate, eliminating one full data pass per round. -/// Uses lazy accumulation (wrapping add + carry) for cheap accumulation. -/// -/// Returns `(even_components, odd_components, new_len)`. -pub fn ext2_soa_reduce_and_evaluate>( - c0: &mut [u64], - c1: &mut [u64], - challenge: [u64; 2], - w: u64, -) -> ([u64; 2], [u64; 2], usize) { - let len = c0.len(); - debug_assert_eq!(len, c1.len()); - let n = len / 2; - - // SAFETY: single-threaded ascending iteration is safe in-place because - // reads at src[2i, 2i+1] precede writes at out[i] for each step i. - let (even, odd) = unsafe { - ext2_soa_reduce_and_evaluate_raw::( - c0.as_ptr(), - c1.as_ptr(), - c0.as_mut_ptr(), - c1.as_mut_ptr(), - n, - challenge, - w, - ) - }; - (even, odd, n) -} - -/// Distinct-buffer version of `ext2_soa_reduce_and_evaluate`. -/// -/// Reads from `src_c0`/`src_c1` (length `2 * n`) and writes to -/// `out_c0`/`out_c1` (length `n`). Used by the parallel chunked kernel. -pub fn ext2_soa_reduce_and_evaluate_into>( - src_c0: &[u64], - src_c1: &[u64], - out_c0: &mut [u64], - out_c1: &mut [u64], - challenge: [u64; 2], - w: u64, -) -> ([u64; 2], [u64; 2]) { - let n = out_c0.len(); - debug_assert_eq!(n, out_c1.len()); - debug_assert_eq!(src_c0.len(), 2 * n); - debug_assert_eq!(src_c1.len(), 2 * n); - unsafe { - ext2_soa_reduce_and_evaluate_raw::( - src_c0.as_ptr(), - src_c1.as_ptr(), - out_c0.as_mut_ptr(), - out_c1.as_mut_ptr(), - n, - challenge, - w, - ) - } -} - -/// Raw-pointer core of `ext2_soa_reduce_and_evaluate`. -/// -/// # Safety -/// - `src_c0_ptr` / `src_c1_ptr` must each be valid for reading `2 * n` u64s. -/// - `out_c0_ptr` / `out_c1_ptr` must each be valid for writing `n` u64s. -/// - If src and out alias the same buffer, the caller must use single-threaded -/// ascending iteration (read `[2i, 2i+1]` happens before write `[i]` per i). -/// Parallel chunked callers must pass non-overlapping src/out regions. -#[inline(always)] -unsafe fn ext2_soa_reduce_and_evaluate_raw>( - src_c0_ptr: *const u64, - src_c1_ptr: *const u64, - out_c0_ptr: *mut u64, - out_c1_ptr: *mut u64, - n: usize, - challenge: [u64; 2], - w: u64, -) -> ([u64; 2], [u64; 2]) { - let ch0 = F::splat(challenge[0]); - let ch1 = F::splat(challenge[1]); - let ch1w = F::splat(F::scalar_mul(challenge[1], w)); - - let lanes = F::LANES; - let step = 2 * lanes; // 2× unroll - let aligned = (n / step) * step; - - // Lazy accumulators: 2 per component × 2 unroll groups - let zero = F::splat(F::ZERO); - let mut acc_c0_0 = zero; - let mut acc_c0_1 = zero; - let mut acc_c1_0 = zero; - let mut acc_c1_1 = zero; - let mut carry_c0_0 = zero; - let mut carry_c0_1 = zero; - let mut carry_c1_0 = zero; - let mut carry_c1_1 = zero; - - let mut i = 0; - while i < aligned { - // Group 0 - let off0 = i; - let (e0_0, o0_0) = F::load_deinterleaved(src_c0_ptr.add(2 * off0)); - let (e1_0, o1_0) = F::load_deinterleaved(src_c1_ptr.add(2 * off0)); - - let d0_0 = F::sub(o0_0, e0_0); - let d1_0 = F::sub(o1_0, e1_0); - let r0_0 = F::add(e0_0, F::add(F::mul(ch0, d0_0), F::mul(ch1w, d1_0))); - let r1_0 = F::add(e1_0, F::add(F::mul(ch0, d1_0), F::mul(ch1, d0_0))); - - F::store(out_c0_ptr.add(off0), r0_0); - F::store(out_c1_ptr.add(off0), r1_0); - - let s = F::add_wrapping(acc_c0_0, r0_0); - carry_c0_0 = F::add_wrapping(carry_c0_0, F::carry_mask(s, acc_c0_0)); - acc_c0_0 = s; - let s = F::add_wrapping(acc_c1_0, r1_0); - carry_c1_0 = F::add_wrapping(carry_c1_0, F::carry_mask(s, acc_c1_0)); - acc_c1_0 = s; - - // Group 1 - let off1 = i + lanes; - let (e0_1, o0_1) = F::load_deinterleaved(src_c0_ptr.add(2 * off1)); - let (e1_1, o1_1) = F::load_deinterleaved(src_c1_ptr.add(2 * off1)); - - let d0_1 = F::sub(o0_1, e0_1); - let d1_1 = F::sub(o1_1, e1_1); - let r0_1 = F::add(e0_1, F::add(F::mul(ch0, d0_1), F::mul(ch1w, d1_1))); - let r1_1 = F::add(e1_1, F::add(F::mul(ch0, d1_1), F::mul(ch1, d0_1))); - - F::store(out_c0_ptr.add(off1), r0_1); - F::store(out_c1_ptr.add(off1), r1_1); - - let s = F::add_wrapping(acc_c0_1, r0_1); - carry_c0_1 = F::add_wrapping(carry_c0_1, F::carry_mask(s, acc_c0_1)); - acc_c0_1 = s; - let s = F::add_wrapping(acc_c1_1, r1_1); - carry_c1_1 = F::add_wrapping(carry_c1_1, F::carry_mask(s, acc_c1_1)); - acc_c1_1 = s; - i += step; - } - - // Cleanup: single vector at a time with full modular add - while i + lanes <= n { - let (e0, o0) = F::load_deinterleaved(src_c0_ptr.add(2 * i)); - let (e1, o1) = F::load_deinterleaved(src_c1_ptr.add(2 * i)); - - let d0 = F::sub(o0, e0); - let d1 = F::sub(o1, e1); - let r0 = F::add(e0, F::add(F::mul(ch0, d0), F::mul(ch1w, d1))); - let r1 = F::add(e1, F::add(F::mul(ch0, d1), F::mul(ch1, d0))); - - F::store(out_c0_ptr.add(i), r0); - F::store(out_c1_ptr.add(i), r1); - acc_c0_0 = F::add(acc_c0_0, r0); - acc_c1_0 = F::add(acc_c1_0, r1); - i += lanes; - } - - // Finalize lazy accumulators - let total_c0 = F::add( - F::reduce_carry(acc_c0_0, carry_c0_0), - F::reduce_carry(acc_c0_1, carry_c0_1), - ); - let total_c1 = F::add( - F::reduce_carry(acc_c1_0, carry_c1_0), - F::reduce_carry(acc_c1_1, carry_c1_1), - ); - - // Extract even/odd lanes - let mut buf = [F::ZERO; 32]; - let mut even = [F::ZERO; 2]; - let mut odd = [F::ZERO; 2]; - - F::store(buf.as_mut_ptr(), total_c0); - for (j, &v) in buf.iter().enumerate().take(F::LANES) { - if j % 2 == 0 { - even[0] = F::scalar_add(even[0], v); - } else { - odd[0] = F::scalar_add(odd[0], v); - } - } - F::store(buf.as_mut_ptr(), total_c1); - for (j, &v) in buf.iter().enumerate().take(F::LANES) { - if j % 2 == 0 { - even[1] = F::scalar_add(even[1], v); - } else { - odd[1] = F::scalar_add(odd[1], v); - } - } - - // Scalar tail - let ch1w_s = F::scalar_mul(challenge[1], w); - while i < n { - let a0 = *src_c0_ptr.add(2 * i); - let b0 = *src_c0_ptr.add(2 * i + 1); - let a1 = *src_c1_ptr.add(2 * i); - let b1 = *src_c1_ptr.add(2 * i + 1); - - let d0 = F::scalar_sub(b0, a0); - let d1 = F::scalar_sub(b1, a1); - - let r0 = F::scalar_add( - a0, - F::scalar_add(F::scalar_mul(challenge[0], d0), F::scalar_mul(ch1w_s, d1)), - ); - let r1 = F::scalar_add( - a1, - F::scalar_add( - F::scalar_mul(challenge[0], d1), - F::scalar_mul(challenge[1], d0), - ), - ); - - *out_c0_ptr.add(i) = r0; - *out_c1_ptr.add(i) = r1; - - if i % 2 == 0 { - even[0] = F::scalar_add(even[0], r0); - even[1] = F::scalar_add(even[1], r1); - } else { - odd[0] = F::scalar_add(odd[0], r0); - odd[1] = F::scalar_add(odd[1], r1); - } - i += 1; - } - - (even, odd) -} - -/// Parallel fused SoA ext2 reduce + next-round evaluate. -/// -/// Splits the output into rayon chunks and processes each chunk with -/// `ext2_soa_reduce_and_evaluate_raw` on distinct src/out regions. -/// -/// `chunk_pairs` must be even so each chunk starts at an even global pair -/// index (preserving even/odd lane parity in horizontal reductions). -#[cfg(feature = "parallel")] -pub fn ext2_soa_reduce_and_evaluate_parallel>( - src_c0: &[u64], - src_c1: &[u64], - out_c0: &mut [u64], - out_c1: &mut [u64], - challenge: [u64; 2], - w: u64, -) -> ([u64; 2], [u64; 2]) { - use rayon::prelude::*; - - let n = out_c0.len(); - debug_assert_eq!(n, out_c1.len()); - debug_assert_eq!(src_c0.len(), 2 * n); - debug_assert_eq!(src_c1.len(), 2 * n); - - let chunk_pairs = 32_768_usize; // power of 2, multiple of 2*LANES, even - if n <= chunk_pairs { - return ext2_soa_reduce_and_evaluate_into::( - src_c0, src_c1, out_c0, out_c1, challenge, w, - ); - } - - out_c0 - .par_chunks_mut(chunk_pairs) - .zip(out_c1.par_chunks_mut(chunk_pairs)) - .enumerate() - .map(|(idx, (oc0, oc1))| { - let start = idx * chunk_pairs; - let end = start + oc0.len(); - ext2_soa_reduce_and_evaluate_into::( - &src_c0[2 * start..2 * end], - &src_c1[2 * start..2 * end], - oc0, - oc1, - challenge, - w, - ) - }) - .reduce( - || ([0u64; 2], [0u64; 2]), - |(e1, o1), (e2, o2)| { - ( - [F::scalar_add(e1[0], e2[0]), F::scalar_add(e1[1], e2[1])], - [F::scalar_add(o1[0], o2[0]), F::scalar_add(o1[1], o2[1])], - ) - }, - ) -} - -/// Non-parallel fallback. -#[cfg(not(feature = "parallel"))] -pub fn ext2_soa_reduce_and_evaluate_parallel>( - src_c0: &[u64], - src_c1: &[u64], - out_c0: &mut [u64], - out_c1: &mut [u64], - challenge: [u64; 2], - w: u64, -) -> ([u64; 2], [u64; 2]) { - ext2_soa_reduce_and_evaluate_into::(src_c0, src_c1, out_c0, out_c1, challenge, w) -} - -/// SoA ext3 reduce in-place. -/// -/// Same concept as ext2 but for degree-3 extensions. -/// Uses Karatsuba multiplication: 6 base muls + 2 mul-by-w + adds. -/// Returns the new length (= len/2). -pub fn ext3_soa_reduce_in_place>( - c0: &mut [u64], - c1: &mut [u64], - c2: &mut [u64], - challenge: [u64; 3], - w: u64, -) -> usize { - let len = c0.len(); - debug_assert_eq!(len, c1.len()); - debug_assert_eq!(len, c2.len()); - let n = len / 2; - - let ch = [ - F::splat(challenge[0]), - F::splat(challenge[1]), - F::splat(challenge[2]), - ]; - let w_vec = F::splat(w); - - let lanes = F::LANES; - let step = 2 * lanes; // 2× unroll (more register pressure with ext3) - let aligned = (n / step) * step; - - let c0_ptr = c0.as_ptr(); - let c1_ptr = c1.as_ptr(); - let c2_ptr = c2.as_ptr(); - let c0_out = c0.as_mut_ptr(); - let c1_out = c1.as_mut_ptr(); - let c2_out = c2.as_mut_ptr(); - - let mut i = 0; - while i < aligned { - unsafe { - for g in 0..2 { - let off = i + g * lanes; - let (e0, o0) = F::load_deinterleaved(c0_ptr.add(2 * off)); - let (e1, o1) = F::load_deinterleaved(c1_ptr.add(2 * off)); - let (e2, o2) = F::load_deinterleaved(c2_ptr.add(2 * off)); - - let d = [F::sub(o0, e0), F::sub(o1, e1), F::sub(o2, e2)]; - - // Karatsuba ext3: challenge * diff - let ad = F::mul(ch[0], d[0]); - let be = F::mul(ch[1], d[1]); - let cf = F::mul(ch[2], d[2]); - - let x = F::sub( - F::sub(F::mul(F::add(ch[1], ch[2]), F::add(d[1], d[2])), be), - cf, - ); - let y = F::sub( - F::sub(F::mul(F::add(ch[0], ch[1]), F::add(d[0], d[1])), ad), - be, - ); - let z = F::add( - F::sub( - F::sub(F::mul(F::add(ch[0], ch[2]), F::add(d[0], d[2])), ad), - cf, - ), - be, - ); - - let r0 = F::add(ad, F::mul(w_vec, x)); - let r1 = F::add(y, F::mul(w_vec, cf)); - let r2 = z; - - F::store(c0_out.add(off), F::add(e0, r0)); - F::store(c1_out.add(off), F::add(e1, r1)); - F::store(c2_out.add(off), F::add(e2, r2)); - } - } - i += step; - } - - while i + lanes <= n { - unsafe { - let (e0, o0) = F::load_deinterleaved(c0_ptr.add(2 * i)); - let (e1, o1) = F::load_deinterleaved(c1_ptr.add(2 * i)); - let (e2, o2) = F::load_deinterleaved(c2_ptr.add(2 * i)); - - let d = [F::sub(o0, e0), F::sub(o1, e1), F::sub(o2, e2)]; - - let ad = F::mul(ch[0], d[0]); - let be = F::mul(ch[1], d[1]); - let cf = F::mul(ch[2], d[2]); - - let x = F::sub( - F::sub(F::mul(F::add(ch[1], ch[2]), F::add(d[1], d[2])), be), - cf, - ); - let y = F::sub( - F::sub(F::mul(F::add(ch[0], ch[1]), F::add(d[0], d[1])), ad), - be, - ); - let z = F::add( - F::sub( - F::sub(F::mul(F::add(ch[0], ch[2]), F::add(d[0], d[2])), ad), - cf, - ), - be, - ); - - F::store(c0_out.add(i), F::add(e0, F::add(ad, F::mul(w_vec, x)))); - F::store(c1_out.add(i), F::add(e1, F::add(y, F::mul(w_vec, cf)))); - F::store(c2_out.add(i), F::add(e2, z)); - } - i += lanes; - } - - // Scalar tail - while i < n { - let d = [ - F::scalar_sub(c0[2 * i + 1], c0[2 * i]), - F::scalar_sub(c1[2 * i + 1], c1[2 * i]), - F::scalar_sub(c2[2 * i + 1], c2[2 * i]), - ]; - - let ad = F::scalar_mul(challenge[0], d[0]); - let be = F::scalar_mul(challenge[1], d[1]); - let cf = F::scalar_mul(challenge[2], d[2]); - - let x = F::scalar_sub( - F::scalar_sub( - F::scalar_mul( - F::scalar_add(challenge[1], challenge[2]), - F::scalar_add(d[1], d[2]), - ), - be, - ), - cf, - ); - let y = F::scalar_sub( - F::scalar_sub( - F::scalar_mul( - F::scalar_add(challenge[0], challenge[1]), - F::scalar_add(d[0], d[1]), - ), - ad, - ), - be, - ); - let z = F::scalar_add( - F::scalar_sub( - F::scalar_sub( - F::scalar_mul( - F::scalar_add(challenge[0], challenge[2]), - F::scalar_add(d[0], d[2]), - ), - ad, - ), - cf, - ), - be, - ); - - c0[i] = F::scalar_add(c0[2 * i], F::scalar_add(ad, F::scalar_mul(w, x))); - c1[i] = F::scalar_add(c1[2 * i], F::scalar_add(y, F::scalar_mul(w, cf))); - c2[i] = F::scalar_add(c2[2 * i], z); - i += 1; - } - - n -} - -/// Fused SoA ext3 reduce + next-round evaluate in a single pass. -/// -/// Same concept as ext2 fused kernel but with Karatsuba ext3 multiply. -/// 1x unroll due to higher register pressure (3 components × 2 accum × 2 carry = 12 zmm). -/// -/// Returns `(even_components, odd_components, new_len)`. -pub fn ext3_soa_reduce_and_evaluate>( - c0: &mut [u64], - c1: &mut [u64], - c2: &mut [u64], - challenge: [u64; 3], - w: u64, -) -> ([u64; 3], [u64; 3], usize) { - let len = c0.len(); - debug_assert_eq!(len, c1.len()); - debug_assert_eq!(len, c2.len()); - let n = len / 2; - - // SAFETY: single-threaded ascending iteration is safe in-place. - let (even, odd) = unsafe { - ext3_soa_reduce_and_evaluate_raw::( - c0.as_ptr(), - c1.as_ptr(), - c2.as_ptr(), - c0.as_mut_ptr(), - c1.as_mut_ptr(), - c2.as_mut_ptr(), - n, - challenge, - w, - ) - }; - (even, odd, n) -} - -/// Distinct-buffer version of `ext3_soa_reduce_and_evaluate`. -#[allow(clippy::too_many_arguments)] -pub fn ext3_soa_reduce_and_evaluate_into>( - src_c0: &[u64], - src_c1: &[u64], - src_c2: &[u64], - out_c0: &mut [u64], - out_c1: &mut [u64], - out_c2: &mut [u64], - challenge: [u64; 3], - w: u64, -) -> ([u64; 3], [u64; 3]) { - let n = out_c0.len(); - debug_assert_eq!(n, out_c1.len()); - debug_assert_eq!(n, out_c2.len()); - debug_assert_eq!(src_c0.len(), 2 * n); - debug_assert_eq!(src_c1.len(), 2 * n); - debug_assert_eq!(src_c2.len(), 2 * n); - unsafe { - ext3_soa_reduce_and_evaluate_raw::( - src_c0.as_ptr(), - src_c1.as_ptr(), - src_c2.as_ptr(), - out_c0.as_mut_ptr(), - out_c1.as_mut_ptr(), - out_c2.as_mut_ptr(), - n, - challenge, - w, - ) - } -} - -/// Raw-pointer core of `ext3_soa_reduce_and_evaluate`. -/// -/// # Safety -/// Same contract as `ext2_soa_reduce_and_evaluate_raw`. -#[inline(always)] -#[allow(clippy::too_many_arguments)] -unsafe fn ext3_soa_reduce_and_evaluate_raw>( - src_c0_ptr: *const u64, - src_c1_ptr: *const u64, - src_c2_ptr: *const u64, - out_c0_ptr: *mut u64, - out_c1_ptr: *mut u64, - out_c2_ptr: *mut u64, - n: usize, - challenge: [u64; 3], - w: u64, -) -> ([u64; 3], [u64; 3]) { - let ch = [ - F::splat(challenge[0]), - F::splat(challenge[1]), - F::splat(challenge[2]), - ]; - let w_vec = F::splat(w); - - let lanes = F::LANES; - let aligned = (n / lanes) * lanes; - - let zero = F::splat(F::ZERO); - let mut acc = [zero; 3]; - let mut carry = [zero; 3]; - - let mut i = 0; - while i < aligned { - let (e0, o0) = F::load_deinterleaved(src_c0_ptr.add(2 * i)); - let (e1, o1) = F::load_deinterleaved(src_c1_ptr.add(2 * i)); - let (e2, o2) = F::load_deinterleaved(src_c2_ptr.add(2 * i)); - - let d = [F::sub(o0, e0), F::sub(o1, e1), F::sub(o2, e2)]; - - // Karatsuba ext3: challenge * diff - let ad = F::mul(ch[0], d[0]); - let be = F::mul(ch[1], d[1]); - let cf = F::mul(ch[2], d[2]); - - let x = F::sub( - F::sub(F::mul(F::add(ch[1], ch[2]), F::add(d[1], d[2])), be), - cf, - ); - let y = F::sub( - F::sub(F::mul(F::add(ch[0], ch[1]), F::add(d[0], d[1])), ad), - be, - ); - let z = F::add( - F::sub( - F::sub(F::mul(F::add(ch[0], ch[2]), F::add(d[0], d[2])), ad), - cf, - ), - be, - ); - - let r0 = F::add(e0, F::add(ad, F::mul(w_vec, x))); - let r1 = F::add(e1, F::add(y, F::mul(w_vec, cf))); - let r2 = F::add(e2, z); - - F::store(out_c0_ptr.add(i), r0); - F::store(out_c1_ptr.add(i), r1); - F::store(out_c2_ptr.add(i), r2); - - let s0 = F::add_wrapping(acc[0], r0); - carry[0] = F::add_wrapping(carry[0], F::carry_mask(s0, acc[0])); - acc[0] = s0; - let s1 = F::add_wrapping(acc[1], r1); - carry[1] = F::add_wrapping(carry[1], F::carry_mask(s1, acc[1])); - acc[1] = s1; - let s2 = F::add_wrapping(acc[2], r2); - carry[2] = F::add_wrapping(carry[2], F::carry_mask(s2, acc[2])); - acc[2] = s2; - i += lanes; - } - - // Finalize - let total = [ - F::reduce_carry(acc[0], carry[0]), - F::reduce_carry(acc[1], carry[1]), - F::reduce_carry(acc[2], carry[2]), - ]; - - let mut buf = [F::ZERO; 32]; - let mut even = [F::ZERO; 3]; - let mut odd = [F::ZERO; 3]; - - for c in 0..3 { - F::store(buf.as_mut_ptr(), total[c]); - for (j, &v) in buf.iter().enumerate().take(F::LANES) { - if j % 2 == 0 { - even[c] = F::scalar_add(even[c], v); - } else { - odd[c] = F::scalar_add(odd[c], v); - } - } - } - - // Scalar tail - while i < n { - let a0 = *src_c0_ptr.add(2 * i); - let b0 = *src_c0_ptr.add(2 * i + 1); - let a1 = *src_c1_ptr.add(2 * i); - let b1 = *src_c1_ptr.add(2 * i + 1); - let a2 = *src_c2_ptr.add(2 * i); - let b2 = *src_c2_ptr.add(2 * i + 1); - - let d = [ - F::scalar_sub(b0, a0), - F::scalar_sub(b1, a1), - F::scalar_sub(b2, a2), - ]; - - let ad = F::scalar_mul(challenge[0], d[0]); - let be = F::scalar_mul(challenge[1], d[1]); - let cf = F::scalar_mul(challenge[2], d[2]); - let x = F::scalar_sub( - F::scalar_sub( - F::scalar_mul( - F::scalar_add(challenge[1], challenge[2]), - F::scalar_add(d[1], d[2]), - ), - be, - ), - cf, - ); - let y = F::scalar_sub( - F::scalar_sub( - F::scalar_mul( - F::scalar_add(challenge[0], challenge[1]), - F::scalar_add(d[0], d[1]), - ), - ad, - ), - be, - ); - let z = F::scalar_add( - F::scalar_sub( - F::scalar_sub( - F::scalar_mul( - F::scalar_add(challenge[0], challenge[2]), - F::scalar_add(d[0], d[2]), - ), - ad, - ), - cf, - ), - be, - ); - - let r = [ - F::scalar_add(a0, F::scalar_add(ad, F::scalar_mul(w, x))), - F::scalar_add(a1, F::scalar_add(y, F::scalar_mul(w, cf))), - F::scalar_add(a2, z), - ]; - *out_c0_ptr.add(i) = r[0]; - *out_c1_ptr.add(i) = r[1]; - *out_c2_ptr.add(i) = r[2]; - - if i % 2 == 0 { - for c in 0..3 { - even[c] = F::scalar_add(even[c], r[c]); - } - } else { - for c in 0..3 { - odd[c] = F::scalar_add(odd[c], r[c]); - } - } - i += 1; - } - - (even, odd) -} - -/// Parallel fused SoA ext3 reduce + next-round evaluate. -#[cfg(feature = "parallel")] -#[allow(clippy::too_many_arguments)] -pub fn ext3_soa_reduce_and_evaluate_parallel>( - src_c0: &[u64], - src_c1: &[u64], - src_c2: &[u64], - out_c0: &mut [u64], - out_c1: &mut [u64], - out_c2: &mut [u64], - challenge: [u64; 3], - w: u64, -) -> ([u64; 3], [u64; 3]) { - use rayon::prelude::*; - - let n = out_c0.len(); - let chunk_pairs = 32_768_usize; - if n <= chunk_pairs { - return ext3_soa_reduce_and_evaluate_into::( - src_c0, src_c1, src_c2, out_c0, out_c1, out_c2, challenge, w, - ); - } - - // Split all three output components in parallel. Since rayon's par_chunks_mut - // only takes a single slice, we zip three separate par_chunks_mut iterators. - (out_c0.par_chunks_mut(chunk_pairs)) - .zip(out_c1.par_chunks_mut(chunk_pairs)) - .zip(out_c2.par_chunks_mut(chunk_pairs)) - .enumerate() - .map(|(idx, ((oc0, oc1), oc2))| { - let start = idx * chunk_pairs; - let end = start + oc0.len(); - ext3_soa_reduce_and_evaluate_into::( - &src_c0[2 * start..2 * end], - &src_c1[2 * start..2 * end], - &src_c2[2 * start..2 * end], - oc0, - oc1, - oc2, - challenge, - w, - ) - }) - .reduce( - || ([0u64; 3], [0u64; 3]), - |(e1, o1), (e2, o2)| { - ( - [ - F::scalar_add(e1[0], e2[0]), - F::scalar_add(e1[1], e2[1]), - F::scalar_add(e1[2], e2[2]), - ], - [ - F::scalar_add(o1[0], o2[0]), - F::scalar_add(o1[1], o2[1]), - F::scalar_add(o1[2], o2[2]), - ], - ) - }, - ) -} - -/// Non-parallel fallback. -#[cfg(not(feature = "parallel"))] -#[allow(clippy::too_many_arguments)] -pub fn ext3_soa_reduce_and_evaluate_parallel>( - src_c0: &[u64], - src_c1: &[u64], - src_c2: &[u64], - out_c0: &mut [u64], - out_c1: &mut [u64], - out_c2: &mut [u64], - challenge: [u64; 3], - w: u64, -) -> ([u64; 3], [u64; 3]) { - ext3_soa_reduce_and_evaluate_into::( - src_c0, src_c1, src_c2, out_c0, out_c1, out_c2, challenge, w, - ) -} - -/// Fused SoA ext2 product evaluate + reduce in a single pass. -/// -/// Computes the inner product evaluate (a, b) AND reduces both f and g in one -/// streaming pass over the data. Eliminates 2 full data passes per round. -/// -/// Returns `(a_components, b_components, new_len)`. -pub fn ext2_soa_product_reduce_and_evaluate>( - f_c0: &mut [u64], - f_c1: &mut [u64], - g_c0: &mut [u64], - g_c1: &mut [u64], - challenge: [u64; 2], - w: u64, -) -> ([u64; 2], [u64; 2], usize) { - let n = f_c0.len(); - debug_assert_eq!(n, f_c1.len()); - debug_assert_eq!(n, g_c0.len()); - debug_assert_eq!(n, g_c1.len()); - let half = n / 2; - - // SAFETY: single-threaded ascending iteration is safe in-place. - let (a, b) = unsafe { - ext2_soa_product_reduce_and_evaluate_raw::( - f_c0.as_ptr(), - f_c1.as_ptr(), - g_c0.as_ptr(), - g_c1.as_ptr(), - f_c0.as_mut_ptr(), - f_c1.as_mut_ptr(), - g_c0.as_mut_ptr(), - g_c1.as_mut_ptr(), - half, - challenge, - w, - ) - }; - (a, b, half) -} - -/// Distinct-buffer version of `ext2_soa_product_reduce_and_evaluate`. -#[allow(clippy::too_many_arguments)] -pub fn ext2_soa_product_reduce_and_evaluate_into>( - src_f_c0: &[u64], - src_f_c1: &[u64], - src_g_c0: &[u64], - src_g_c1: &[u64], - out_f_c0: &mut [u64], - out_f_c1: &mut [u64], - out_g_c0: &mut [u64], - out_g_c1: &mut [u64], - challenge: [u64; 2], - w: u64, -) -> ([u64; 2], [u64; 2]) { - let n_out = out_f_c0.len(); - debug_assert_eq!(n_out, out_f_c1.len()); - debug_assert_eq!(n_out, out_g_c0.len()); - debug_assert_eq!(n_out, out_g_c1.len()); - debug_assert_eq!(src_f_c0.len(), 2 * n_out); - debug_assert_eq!(src_f_c1.len(), 2 * n_out); - debug_assert_eq!(src_g_c0.len(), 2 * n_out); - debug_assert_eq!(src_g_c1.len(), 2 * n_out); - unsafe { - ext2_soa_product_reduce_and_evaluate_raw::( - src_f_c0.as_ptr(), - src_f_c1.as_ptr(), - src_g_c0.as_ptr(), - src_g_c1.as_ptr(), - out_f_c0.as_mut_ptr(), - out_f_c1.as_mut_ptr(), - out_g_c0.as_mut_ptr(), - out_g_c1.as_mut_ptr(), - n_out, - challenge, - w, - ) - } -} - -/// Raw-pointer core of `ext2_soa_product_reduce_and_evaluate`. -/// -/// # Safety -/// Same contract as `ext2_soa_reduce_and_evaluate_raw`, but with both f and g. -/// `n_out` is the number of output pairs (input has `2 * n_out` elements per slice). -#[inline(always)] -#[allow(clippy::too_many_arguments)] -unsafe fn ext2_soa_product_reduce_and_evaluate_raw>( - src_f_c0: *const u64, - src_f_c1: *const u64, - src_g_c0: *const u64, - src_g_c1: *const u64, - out_f_c0: *mut u64, - out_f_c1: *mut u64, - out_g_c0: *mut u64, - out_g_c1: *mut u64, - n_out: usize, - challenge: [u64; 2], - w: u64, -) -> ([u64; 2], [u64; 2]) { - let lanes = F::LANES; - let aligned = (n_out / lanes) * lanes; - let w_vec = F::splat(w); - let ch0 = F::splat(challenge[0]); - let ch1 = F::splat(challenge[1]); - let ch1w = F::splat(F::scalar_mul(challenge[1], w)); - - let zero = F::splat(F::ZERO); - let mut acc_a0 = zero; - let mut acc_a1 = zero; - let mut acc_b0 = zero; - let mut acc_b1 = zero; - - let mut i = 0; - while i < aligned { - let off = i; - let (fe0, fo0) = F::load_deinterleaved(src_f_c0.add(2 * off)); - let (fe1, fo1) = F::load_deinterleaved(src_f_c1.add(2 * off)); - let (ge0, go0) = F::load_deinterleaved(src_g_c0.add(2 * off)); - let (ge1, go1) = F::load_deinterleaved(src_g_c1.add(2 * off)); - - // a += f_even * g_even (ext2 Karatsuba) - let v0 = F::mul(fe0, ge0); - let v1 = F::mul(fe1, ge1); - acc_a0 = F::add(acc_a0, F::add(v0, F::mul(w_vec, v1))); - let m = F::mul(F::add(fe0, fe1), F::add(ge0, ge1)); - acc_a1 = F::add(acc_a1, F::sub(F::sub(m, v0), v1)); - - // b += f_even * g_odd + f_odd * g_even - let u0 = F::mul(fe0, go0); - let u1 = F::mul(fe1, go1); - let m1 = F::mul(F::add(fe0, fe1), F::add(go0, go1)); - let p0 = F::mul(fo0, ge0); - let p1 = F::mul(fo1, ge1); - let m2 = F::mul(F::add(fo0, fo1), F::add(ge0, ge1)); - - acc_b0 = F::add( - acc_b0, - F::add(F::add(u0, F::mul(w_vec, u1)), F::add(p0, F::mul(w_vec, p1))), - ); - acc_b1 = F::add( - acc_b1, - F::add(F::sub(F::sub(m1, u0), u1), F::sub(F::sub(m2, p0), p1)), - ); - - // Reduce f - let fd0 = F::sub(fo0, fe0); - let fd1 = F::sub(fo1, fe1); - F::store( - out_f_c0.add(off), - F::add(fe0, F::add(F::mul(ch0, fd0), F::mul(ch1w, fd1))), - ); - F::store( - out_f_c1.add(off), - F::add(fe1, F::add(F::mul(ch0, fd1), F::mul(ch1, fd0))), - ); - - // Reduce g - let gd0 = F::sub(go0, ge0); - let gd1 = F::sub(go1, ge1); - F::store( - out_g_c0.add(off), - F::add(ge0, F::add(F::mul(ch0, gd0), F::mul(ch1w, gd1))), - ); - F::store( - out_g_c1.add(off), - F::add(ge1, F::add(F::mul(ch0, gd1), F::mul(ch1, gd0))), - ); - i += lanes; - } - - // Horizontal reduce - let mut buf = [F::ZERO; 32]; - let mut a = [F::ZERO; 2]; - let mut b = [F::ZERO; 2]; - - F::store(buf.as_mut_ptr(), acc_a0); - for &v in buf.iter().take(lanes) { - a[0] = F::scalar_add(a[0], v); - } - F::store(buf.as_mut_ptr(), acc_a1); - for &v in buf.iter().take(lanes) { - a[1] = F::scalar_add(a[1], v); - } - F::store(buf.as_mut_ptr(), acc_b0); - for &v in buf.iter().take(lanes) { - b[0] = F::scalar_add(b[0], v); - } - F::store(buf.as_mut_ptr(), acc_b1); - for &v in buf.iter().take(lanes) { - b[1] = F::scalar_add(b[1], v); - } - - // Scalar tail - let ch1w_s = F::scalar_mul(challenge[1], w); - while i < n_out { - let fe = [*src_f_c0.add(2 * i), *src_f_c1.add(2 * i)]; - let fo = [*src_f_c0.add(2 * i + 1), *src_f_c1.add(2 * i + 1)]; - let ge = [*src_g_c0.add(2 * i), *src_g_c1.add(2 * i)]; - let go_ = [*src_g_c0.add(2 * i + 1), *src_g_c1.add(2 * i + 1)]; - - let v0 = F::scalar_mul(fe[0], ge[0]); - let v1 = F::scalar_mul(fe[1], ge[1]); - a[0] = F::scalar_add(a[0], F::scalar_add(v0, F::scalar_mul(w, v1))); - let m = F::scalar_mul(F::scalar_add(fe[0], fe[1]), F::scalar_add(ge[0], ge[1])); - a[1] = F::scalar_add(a[1], F::scalar_sub(F::scalar_sub(m, v0), v1)); - - let u0 = F::scalar_mul(fe[0], go_[0]); - let u1 = F::scalar_mul(fe[1], go_[1]); - let m1 = F::scalar_mul(F::scalar_add(fe[0], fe[1]), F::scalar_add(go_[0], go_[1])); - let p0 = F::scalar_mul(fo[0], ge[0]); - let p1 = F::scalar_mul(fo[1], ge[1]); - let m2 = F::scalar_mul(F::scalar_add(fo[0], fo[1]), F::scalar_add(ge[0], ge[1])); - b[0] = F::scalar_add( - b[0], - F::scalar_add( - F::scalar_add(u0, F::scalar_mul(w, u1)), - F::scalar_add(p0, F::scalar_mul(w, p1)), - ), - ); - b[1] = F::scalar_add( - b[1], - F::scalar_add( - F::scalar_sub(F::scalar_sub(m1, u0), u1), - F::scalar_sub(F::scalar_sub(m2, p0), p1), - ), - ); - - let fd0 = F::scalar_sub(fo[0], fe[0]); - let fd1 = F::scalar_sub(fo[1], fe[1]); - *out_f_c0.add(i) = F::scalar_add( - fe[0], - F::scalar_add(F::scalar_mul(challenge[0], fd0), F::scalar_mul(ch1w_s, fd1)), - ); - *out_f_c1.add(i) = F::scalar_add( - fe[1], - F::scalar_add( - F::scalar_mul(challenge[0], fd1), - F::scalar_mul(challenge[1], fd0), - ), - ); - - let gd0 = F::scalar_sub(go_[0], ge[0]); - let gd1 = F::scalar_sub(go_[1], ge[1]); - *out_g_c0.add(i) = F::scalar_add( - ge[0], - F::scalar_add(F::scalar_mul(challenge[0], gd0), F::scalar_mul(ch1w_s, gd1)), - ); - *out_g_c1.add(i) = F::scalar_add( - ge[1], - F::scalar_add( - F::scalar_mul(challenge[0], gd1), - F::scalar_mul(challenge[1], gd0), - ), - ); - - i += 1; - } - - (a, b) -} - -/// Parallel fused SoA ext2 product reduce + evaluate. -#[cfg(feature = "parallel")] -#[allow(clippy::too_many_arguments)] -pub fn ext2_soa_product_reduce_and_evaluate_parallel>( - src_f_c0: &[u64], - src_f_c1: &[u64], - src_g_c0: &[u64], - src_g_c1: &[u64], - out_f_c0: &mut [u64], - out_f_c1: &mut [u64], - out_g_c0: &mut [u64], - out_g_c1: &mut [u64], - challenge: [u64; 2], - w: u64, -) -> ([u64; 2], [u64; 2]) { - use rayon::prelude::*; - - let n_out = out_f_c0.len(); - let chunk_pairs = 32_768_usize; - if n_out <= chunk_pairs { - return ext2_soa_product_reduce_and_evaluate_into::( - src_f_c0, src_f_c1, src_g_c0, src_g_c1, out_f_c0, out_f_c1, out_g_c0, out_g_c1, - challenge, w, - ); - } - - (out_f_c0.par_chunks_mut(chunk_pairs)) - .zip(out_f_c1.par_chunks_mut(chunk_pairs)) - .zip(out_g_c0.par_chunks_mut(chunk_pairs)) - .zip(out_g_c1.par_chunks_mut(chunk_pairs)) - .enumerate() - .map(|(idx, (((ofc0, ofc1), ogc0), ogc1))| { - let start = idx * chunk_pairs; - let end = start + ofc0.len(); - ext2_soa_product_reduce_and_evaluate_into::( - &src_f_c0[2 * start..2 * end], - &src_f_c1[2 * start..2 * end], - &src_g_c0[2 * start..2 * end], - &src_g_c1[2 * start..2 * end], - ofc0, - ofc1, - ogc0, - ogc1, - challenge, - w, - ) - }) - .reduce( - || ([0u64; 2], [0u64; 2]), - |(a1, b1), (a2, b2)| { - ( - [F::scalar_add(a1[0], a2[0]), F::scalar_add(a1[1], a2[1])], - [F::scalar_add(b1[0], b2[0]), F::scalar_add(b1[1], b2[1])], - ) - }, - ) -} - -/// Non-parallel fallback. -#[cfg(not(feature = "parallel"))] -#[allow(clippy::too_many_arguments)] -pub fn ext2_soa_product_reduce_and_evaluate_parallel>( - src_f_c0: &[u64], - src_f_c1: &[u64], - src_g_c0: &[u64], - src_g_c1: &[u64], - out_f_c0: &mut [u64], - out_f_c1: &mut [u64], - out_g_c0: &mut [u64], - out_g_c1: &mut [u64], - challenge: [u64; 2], - w: u64, -) -> ([u64; 2], [u64; 2]) { - ext2_soa_product_reduce_and_evaluate_into::( - src_f_c0, src_f_c1, src_g_c0, src_g_c1, out_f_c0, out_f_c1, out_g_c0, out_g_c1, challenge, - w, - ) -} - -/// Fused SoA ext3 product evaluate + reduce in a single pass. -/// -/// Same concept as ext2 fused product kernel but with Karatsuba ext3 multiply. -#[allow(clippy::too_many_arguments)] -pub fn ext3_soa_product_reduce_and_evaluate>( - f_c0: &mut [u64], - f_c1: &mut [u64], - f_c2: &mut [u64], - g_c0: &mut [u64], - g_c1: &mut [u64], - g_c2: &mut [u64], - challenge: [u64; 3], - w: u64, -) -> ([u64; 3], [u64; 3], usize) { - let n = f_c0.len(); - let half = n / 2; - - // SAFETY: single-threaded ascending iteration is safe in-place. - let (a, b) = unsafe { - ext3_soa_product_reduce_and_evaluate_raw::( - f_c0.as_ptr(), - f_c1.as_ptr(), - f_c2.as_ptr(), - g_c0.as_ptr(), - g_c1.as_ptr(), - g_c2.as_ptr(), - f_c0.as_mut_ptr(), - f_c1.as_mut_ptr(), - f_c2.as_mut_ptr(), - g_c0.as_mut_ptr(), - g_c1.as_mut_ptr(), - g_c2.as_mut_ptr(), - half, - challenge, - w, - ) - }; - (a, b, half) -} - -/// Distinct-buffer version of `ext3_soa_product_reduce_and_evaluate`. -#[allow(clippy::too_many_arguments)] -pub fn ext3_soa_product_reduce_and_evaluate_into>( - src_f_c0: &[u64], - src_f_c1: &[u64], - src_f_c2: &[u64], - src_g_c0: &[u64], - src_g_c1: &[u64], - src_g_c2: &[u64], - out_f_c0: &mut [u64], - out_f_c1: &mut [u64], - out_f_c2: &mut [u64], - out_g_c0: &mut [u64], - out_g_c1: &mut [u64], - out_g_c2: &mut [u64], - challenge: [u64; 3], - w: u64, -) -> ([u64; 3], [u64; 3]) { - let n_out = out_f_c0.len(); - debug_assert_eq!(src_f_c0.len(), 2 * n_out); - unsafe { - ext3_soa_product_reduce_and_evaluate_raw::( - src_f_c0.as_ptr(), - src_f_c1.as_ptr(), - src_f_c2.as_ptr(), - src_g_c0.as_ptr(), - src_g_c1.as_ptr(), - src_g_c2.as_ptr(), - out_f_c0.as_mut_ptr(), - out_f_c1.as_mut_ptr(), - out_f_c2.as_mut_ptr(), - out_g_c0.as_mut_ptr(), - out_g_c1.as_mut_ptr(), - out_g_c2.as_mut_ptr(), - n_out, - challenge, - w, - ) - } -} - -/// Raw-pointer core of `ext3_soa_product_reduce_and_evaluate`. -/// -/// # Safety -/// Same contract as the ext2 product raw kernel. -#[inline(always)] -#[allow(clippy::too_many_arguments)] -unsafe fn ext3_soa_product_reduce_and_evaluate_raw>( - src_f_c0: *const u64, - src_f_c1: *const u64, - src_f_c2: *const u64, - src_g_c0: *const u64, - src_g_c1: *const u64, - src_g_c2: *const u64, - out_f_c0: *mut u64, - out_f_c1: *mut u64, - out_f_c2: *mut u64, - out_g_c0: *mut u64, - out_g_c1: *mut u64, - out_g_c2: *mut u64, - n_out: usize, - challenge: [u64; 3], - w: u64, -) -> ([u64; 3], [u64; 3]) { - let lanes = F::LANES; - let aligned = (n_out / lanes) * lanes; - let w_vec = F::splat(w); - let ch = [ - F::splat(challenge[0]), - F::splat(challenge[1]), - F::splat(challenge[2]), - ]; - - let zero = F::splat(F::ZERO); - let mut acc_a = [zero; 3]; - let mut acc_b = [zero; 3]; - - let mut i = 0; - while i < aligned { - let off = i; - let (fe0, fo0) = F::load_deinterleaved(src_f_c0.add(2 * off)); - let (fe1, fo1) = F::load_deinterleaved(src_f_c1.add(2 * off)); - let (fe2, fo2) = F::load_deinterleaved(src_f_c2.add(2 * off)); - let (ge0, go0) = F::load_deinterleaved(src_g_c0.add(2 * off)); - let (ge1, go1) = F::load_deinterleaved(src_g_c1.add(2 * off)); - let (ge2, go2) = F::load_deinterleaved(src_g_c2.add(2 * off)); - - let pa = soa_ext3_mul::([fe0, fe1, fe2], [ge0, ge1, ge2], w_vec); - acc_a[0] = F::add(acc_a[0], pa[0]); - acc_a[1] = F::add(acc_a[1], pa[1]); - acc_a[2] = F::add(acc_a[2], pa[2]); - - let peg = soa_ext3_mul::([fe0, fe1, fe2], [go0, go1, go2], w_vec); - let poe = soa_ext3_mul::([fo0, fo1, fo2], [ge0, ge1, ge2], w_vec); - acc_b[0] = F::add(acc_b[0], F::add(peg[0], poe[0])); - acc_b[1] = F::add(acc_b[1], F::add(peg[1], poe[1])); - acc_b[2] = F::add(acc_b[2], F::add(peg[2], poe[2])); - - let fd = [F::sub(fo0, fe0), F::sub(fo1, fe1), F::sub(fo2, fe2)]; - let fp = soa_ext3_mul::(ch, fd, w_vec); - F::store(out_f_c0.add(off), F::add(fe0, fp[0])); - F::store(out_f_c1.add(off), F::add(fe1, fp[1])); - F::store(out_f_c2.add(off), F::add(fe2, fp[2])); - - let gd = [F::sub(go0, ge0), F::sub(go1, ge1), F::sub(go2, ge2)]; - let gp = soa_ext3_mul::(ch, gd, w_vec); - F::store(out_g_c0.add(off), F::add(ge0, gp[0])); - F::store(out_g_c1.add(off), F::add(ge1, gp[1])); - F::store(out_g_c2.add(off), F::add(ge2, gp[2])); - i += lanes; - } - - // Horizontal reduce - let mut buf = [F::ZERO; 32]; - let mut a = [F::ZERO; 3]; - let mut b = [F::ZERO; 3]; - - for c in 0..3 { - F::store(buf.as_mut_ptr(), acc_a[c]); - for &v in buf.iter().take(lanes) { - a[c] = F::scalar_add(a[c], v); - } - F::store(buf.as_mut_ptr(), acc_b[c]); - for &v in buf.iter().take(lanes) { - b[c] = F::scalar_add(b[c], v); - } - } - - // Scalar tail - while i < n_out { - let fe = [ - *src_f_c0.add(2 * i), - *src_f_c1.add(2 * i), - *src_f_c2.add(2 * i), - ]; - let fo = [ - *src_f_c0.add(2 * i + 1), - *src_f_c1.add(2 * i + 1), - *src_f_c2.add(2 * i + 1), - ]; - let ge = [ - *src_g_c0.add(2 * i), - *src_g_c1.add(2 * i), - *src_g_c2.add(2 * i), - ]; - let go_ = [ - *src_g_c0.add(2 * i + 1), - *src_g_c1.add(2 * i + 1), - *src_g_c2.add(2 * i + 1), - ]; - - let pa = scalar_ext3_mul::(fe, ge, w); - for c in 0..3 { - a[c] = F::scalar_add(a[c], pa[c]); - } - - let peg = scalar_ext3_mul::(fe, go_, w); - let poe = scalar_ext3_mul::(fo, ge, w); - for c in 0..3 { - b[c] = F::scalar_add(b[c], F::scalar_add(peg[c], poe[c])); - } - - let fd = [ - F::scalar_sub(fo[0], fe[0]), - F::scalar_sub(fo[1], fe[1]), - F::scalar_sub(fo[2], fe[2]), - ]; - let fp = scalar_ext3_mul::(challenge, fd, w); - *out_f_c0.add(i) = F::scalar_add(fe[0], fp[0]); - *out_f_c1.add(i) = F::scalar_add(fe[1], fp[1]); - *out_f_c2.add(i) = F::scalar_add(fe[2], fp[2]); - - let gd = [ - F::scalar_sub(go_[0], ge[0]), - F::scalar_sub(go_[1], ge[1]), - F::scalar_sub(go_[2], ge[2]), - ]; - let gp = scalar_ext3_mul::(challenge, gd, w); - *out_g_c0.add(i) = F::scalar_add(ge[0], gp[0]); - *out_g_c1.add(i) = F::scalar_add(ge[1], gp[1]); - *out_g_c2.add(i) = F::scalar_add(ge[2], gp[2]); - - i += 1; - } - - (a, b) -} - -/// Parallel fused SoA ext3 product reduce + evaluate. -#[cfg(feature = "parallel")] -#[allow(clippy::too_many_arguments)] -pub fn ext3_soa_product_reduce_and_evaluate_parallel>( - src_f_c0: &[u64], - src_f_c1: &[u64], - src_f_c2: &[u64], - src_g_c0: &[u64], - src_g_c1: &[u64], - src_g_c2: &[u64], - out_f_c0: &mut [u64], - out_f_c1: &mut [u64], - out_f_c2: &mut [u64], - out_g_c0: &mut [u64], - out_g_c1: &mut [u64], - out_g_c2: &mut [u64], - challenge: [u64; 3], - w: u64, -) -> ([u64; 3], [u64; 3]) { - use rayon::prelude::*; - - let n_out = out_f_c0.len(); - let chunk_pairs = 32_768_usize; - if n_out <= chunk_pairs { - return ext3_soa_product_reduce_and_evaluate_into::( - src_f_c0, src_f_c1, src_f_c2, src_g_c0, src_g_c1, src_g_c2, out_f_c0, out_f_c1, - out_f_c2, out_g_c0, out_g_c1, out_g_c2, challenge, w, - ); - } - - // Zip six output-component slices by chunk index. - (out_f_c0.par_chunks_mut(chunk_pairs)) - .zip(out_f_c1.par_chunks_mut(chunk_pairs)) - .zip(out_f_c2.par_chunks_mut(chunk_pairs)) - .zip(out_g_c0.par_chunks_mut(chunk_pairs)) - .zip(out_g_c1.par_chunks_mut(chunk_pairs)) - .zip(out_g_c2.par_chunks_mut(chunk_pairs)) - .enumerate() - .map(|(idx, (((((ofc0, ofc1), ofc2), ogc0), ogc1), ogc2))| { - let start = idx * chunk_pairs; - let end = start + ofc0.len(); - ext3_soa_product_reduce_and_evaluate_into::( - &src_f_c0[2 * start..2 * end], - &src_f_c1[2 * start..2 * end], - &src_f_c2[2 * start..2 * end], - &src_g_c0[2 * start..2 * end], - &src_g_c1[2 * start..2 * end], - &src_g_c2[2 * start..2 * end], - ofc0, - ofc1, - ofc2, - ogc0, - ogc1, - ogc2, - challenge, - w, - ) - }) - .reduce( - || ([0u64; 3], [0u64; 3]), - |(a1, b1), (a2, b2)| { - ( - [ - F::scalar_add(a1[0], a2[0]), - F::scalar_add(a1[1], a2[1]), - F::scalar_add(a1[2], a2[2]), - ], - [ - F::scalar_add(b1[0], b2[0]), - F::scalar_add(b1[1], b2[1]), - F::scalar_add(b1[2], b2[2]), - ], - ) - }, - ) -} - -/// Non-parallel fallback. -#[cfg(not(feature = "parallel"))] -#[allow(clippy::too_many_arguments)] -pub fn ext3_soa_product_reduce_and_evaluate_parallel>( - src_f_c0: &[u64], - src_f_c1: &[u64], - src_f_c2: &[u64], - src_g_c0: &[u64], - src_g_c1: &[u64], - src_g_c2: &[u64], - out_f_c0: &mut [u64], - out_f_c1: &mut [u64], - out_f_c2: &mut [u64], - out_g_c0: &mut [u64], - out_g_c1: &mut [u64], - out_g_c2: &mut [u64], - challenge: [u64; 3], - w: u64, -) -> ([u64; 3], [u64; 3]) { - ext3_soa_product_reduce_and_evaluate_into::( - src_f_c0, src_f_c1, src_f_c2, src_g_c0, src_g_c1, src_g_c2, out_f_c0, out_f_c1, out_f_c2, - out_g_c0, out_g_c1, out_g_c2, challenge, w, - ) -} - -// ═══════════════════════════════════════════════════════════════════════════ -// Reduce-only kernels (no evaluate accumulation) -// ═══════════════════════════════════════════════════════════════════════════ -// -// The fused reduce_and_evaluate kernels above also compute the current -// round's evaluate `(a, b) = (Σ f_e·g_e, Σ f_e·g_o + f_o·g_e)` as a side -// effect of the reduce pass. In practice every dispatch caller discards -// this return and recomputes `(a, b)` via the standalone -// `ext{2,3}_soa_product_evaluate` kernel at the top of each round — so the -// 3 extra ext{2,3} Karatsuba muls per iteration (pa, peg, poe) are pure -// waste. These `_reduce_only` variants skip that evaluate work. - -// ── ext2 reduce-only ─────────────────────────────────────────────────────── - -#[inline(always)] -#[allow(clippy::too_many_arguments)] -unsafe fn ext2_soa_product_reduce_only_raw>( - src_f_c0: *const u64, - src_f_c1: *const u64, - src_g_c0: *const u64, - src_g_c1: *const u64, - out_f_c0: *mut u64, - out_f_c1: *mut u64, - out_g_c0: *mut u64, - out_g_c1: *mut u64, - n_out: usize, - challenge: [u64; 2], - w: u64, -) { - let lanes = F::LANES; - let aligned = (n_out / lanes) * lanes; - let ch0 = F::splat(challenge[0]); - let ch1 = F::splat(challenge[1]); - let ch1w = F::splat(F::scalar_mul(challenge[1], w)); - - let mut i = 0; - while i < aligned { - let off = i; - let (fe0, fo0) = F::load_deinterleaved(src_f_c0.add(2 * off)); - let (fe1, fo1) = F::load_deinterleaved(src_f_c1.add(2 * off)); - let (ge0, go0) = F::load_deinterleaved(src_g_c0.add(2 * off)); - let (ge1, go1) = F::load_deinterleaved(src_g_c1.add(2 * off)); - - let fd0 = F::sub(fo0, fe0); - let fd1 = F::sub(fo1, fe1); - F::store( - out_f_c0.add(off), - F::add(fe0, F::add(F::mul(ch0, fd0), F::mul(ch1w, fd1))), - ); - F::store( - out_f_c1.add(off), - F::add(fe1, F::add(F::mul(ch0, fd1), F::mul(ch1, fd0))), - ); - - let gd0 = F::sub(go0, ge0); - let gd1 = F::sub(go1, ge1); - F::store( - out_g_c0.add(off), - F::add(ge0, F::add(F::mul(ch0, gd0), F::mul(ch1w, gd1))), - ); - F::store( - out_g_c1.add(off), - F::add(ge1, F::add(F::mul(ch0, gd1), F::mul(ch1, gd0))), - ); - i += lanes; - } - - let ch1w_s = F::scalar_mul(challenge[1], w); - while i < n_out { - let fe = [*src_f_c0.add(2 * i), *src_f_c1.add(2 * i)]; - let fo = [*src_f_c0.add(2 * i + 1), *src_f_c1.add(2 * i + 1)]; - let ge = [*src_g_c0.add(2 * i), *src_g_c1.add(2 * i)]; - let go_ = [*src_g_c0.add(2 * i + 1), *src_g_c1.add(2 * i + 1)]; - - let fd0 = F::scalar_sub(fo[0], fe[0]); - let fd1 = F::scalar_sub(fo[1], fe[1]); - *out_f_c0.add(i) = F::scalar_add( - fe[0], - F::scalar_add(F::scalar_mul(challenge[0], fd0), F::scalar_mul(ch1w_s, fd1)), - ); - *out_f_c1.add(i) = F::scalar_add( - fe[1], - F::scalar_add( - F::scalar_mul(challenge[0], fd1), - F::scalar_mul(challenge[1], fd0), - ), - ); - - let gd0 = F::scalar_sub(go_[0], ge[0]); - let gd1 = F::scalar_sub(go_[1], ge[1]); - *out_g_c0.add(i) = F::scalar_add( - ge[0], - F::scalar_add(F::scalar_mul(challenge[0], gd0), F::scalar_mul(ch1w_s, gd1)), - ); - *out_g_c1.add(i) = F::scalar_add( - ge[1], - F::scalar_add( - F::scalar_mul(challenge[0], gd1), - F::scalar_mul(challenge[1], gd0), - ), - ); - i += 1; - } -} - -/// In-place ext2 reduce (no evaluate). Returns the new length. -#[allow(clippy::too_many_arguments)] -pub fn ext2_soa_product_reduce_only>( - f_c0: &mut [u64], - f_c1: &mut [u64], - g_c0: &mut [u64], - g_c1: &mut [u64], - challenge: [u64; 2], - w: u64, -) -> usize { - let n_elems = f_c0.len(); - debug_assert_eq!(n_elems, f_c1.len()); - debug_assert_eq!(n_elems, g_c0.len()); - debug_assert_eq!(n_elems, g_c1.len()); - let n_out = n_elems / 2; - - // SAFETY: all four slices have identical non-overlapping provenance. - // The in-place reduce writes to `[0..n_out)` reading from `[0..n_elems)`; - // writes to index i only ever read indices 2i and 2i+1, both ≥ i. - unsafe { - ext2_soa_product_reduce_only_raw::( - f_c0.as_ptr(), - f_c1.as_ptr(), - g_c0.as_ptr(), - g_c1.as_ptr(), - f_c0.as_mut_ptr(), - f_c1.as_mut_ptr(), - g_c0.as_mut_ptr(), - g_c1.as_mut_ptr(), - n_out, - challenge, - w, - ); - } - n_out -} - -/// Distinct-buffer ext2 reduce (no evaluate). -#[allow(clippy::too_many_arguments)] -pub fn ext2_soa_product_reduce_only_into>( - src_f_c0: &[u64], - src_f_c1: &[u64], - src_g_c0: &[u64], - src_g_c1: &[u64], - out_f_c0: &mut [u64], - out_f_c1: &mut [u64], - out_g_c0: &mut [u64], - out_g_c1: &mut [u64], - challenge: [u64; 2], - w: u64, -) { - debug_assert_eq!(src_f_c0.len(), 2 * out_f_c0.len()); - let n_out = out_f_c0.len(); - unsafe { - ext2_soa_product_reduce_only_raw::( - src_f_c0.as_ptr(), - src_f_c1.as_ptr(), - src_g_c0.as_ptr(), - src_g_c1.as_ptr(), - out_f_c0.as_mut_ptr(), - out_f_c1.as_mut_ptr(), - out_g_c0.as_mut_ptr(), - out_g_c1.as_mut_ptr(), - n_out, - challenge, - w, - ); - } -} - -/// Parallel ext2 reduce (no evaluate). -#[cfg(feature = "parallel")] -#[allow(clippy::too_many_arguments)] -pub fn ext2_soa_product_reduce_only_parallel>( - src_f_c0: &[u64], - src_f_c1: &[u64], - src_g_c0: &[u64], - src_g_c1: &[u64], - out_f_c0: &mut [u64], - out_f_c1: &mut [u64], - out_g_c0: &mut [u64], - out_g_c1: &mut [u64], - challenge: [u64; 2], - w: u64, -) { - use rayon::prelude::*; - - let n_out = out_f_c0.len(); - let chunk_pairs = 32_768_usize; - if n_out <= chunk_pairs { - return ext2_soa_product_reduce_only_into::( - src_f_c0, src_f_c1, src_g_c0, src_g_c1, out_f_c0, out_f_c1, out_g_c0, out_g_c1, - challenge, w, - ); - } - - (out_f_c0.par_chunks_mut(chunk_pairs)) - .zip(out_f_c1.par_chunks_mut(chunk_pairs)) - .zip(out_g_c0.par_chunks_mut(chunk_pairs)) - .zip(out_g_c1.par_chunks_mut(chunk_pairs)) - .enumerate() - .for_each(|(idx, (((ofc0, ofc1), ogc0), ogc1))| { - let start = idx * chunk_pairs; - let end = start + ofc0.len(); - ext2_soa_product_reduce_only_into::( - &src_f_c0[2 * start..2 * end], - &src_f_c1[2 * start..2 * end], - &src_g_c0[2 * start..2 * end], - &src_g_c1[2 * start..2 * end], - ofc0, - ofc1, - ogc0, - ogc1, - challenge, - w, - ); - }); -} - -#[cfg(not(feature = "parallel"))] -#[allow(clippy::too_many_arguments)] -pub fn ext2_soa_product_reduce_only_parallel>( - src_f_c0: &[u64], - src_f_c1: &[u64], - src_g_c0: &[u64], - src_g_c1: &[u64], - out_f_c0: &mut [u64], - out_f_c1: &mut [u64], - out_g_c0: &mut [u64], - out_g_c1: &mut [u64], - challenge: [u64; 2], - w: u64, -) { - ext2_soa_product_reduce_only_into::( - src_f_c0, src_f_c1, src_g_c0, src_g_c1, out_f_c0, out_f_c1, out_g_c0, out_g_c1, challenge, - w, - ) -} - -// ── ext3 reduce-only ─────────────────────────────────────────────────────── - -#[inline(always)] -#[allow(clippy::too_many_arguments)] -unsafe fn ext3_soa_product_reduce_only_raw>( - src_f_c0: *const u64, - src_f_c1: *const u64, - src_f_c2: *const u64, - src_g_c0: *const u64, - src_g_c1: *const u64, - src_g_c2: *const u64, - out_f_c0: *mut u64, - out_f_c1: *mut u64, - out_f_c2: *mut u64, - out_g_c0: *mut u64, - out_g_c1: *mut u64, - out_g_c2: *mut u64, - n_out: usize, - challenge: [u64; 3], - w: u64, -) { - let lanes = F::LANES; - let aligned = (n_out / lanes) * lanes; - let w_vec = F::splat(w); - let ch = [ - F::splat(challenge[0]), - F::splat(challenge[1]), - F::splat(challenge[2]), - ]; - - let mut i = 0; - while i < aligned { - let off = i; - let (fe0, fo0) = F::load_deinterleaved(src_f_c0.add(2 * off)); - let (fe1, fo1) = F::load_deinterleaved(src_f_c1.add(2 * off)); - let (fe2, fo2) = F::load_deinterleaved(src_f_c2.add(2 * off)); - let (ge0, go0) = F::load_deinterleaved(src_g_c0.add(2 * off)); - let (ge1, go1) = F::load_deinterleaved(src_g_c1.add(2 * off)); - let (ge2, go2) = F::load_deinterleaved(src_g_c2.add(2 * off)); - - let fd = [F::sub(fo0, fe0), F::sub(fo1, fe1), F::sub(fo2, fe2)]; - let fp = soa_ext3_mul::(ch, fd, w_vec); - F::store(out_f_c0.add(off), F::add(fe0, fp[0])); - F::store(out_f_c1.add(off), F::add(fe1, fp[1])); - F::store(out_f_c2.add(off), F::add(fe2, fp[2])); - - let gd = [F::sub(go0, ge0), F::sub(go1, ge1), F::sub(go2, ge2)]; - let gp = soa_ext3_mul::(ch, gd, w_vec); - F::store(out_g_c0.add(off), F::add(ge0, gp[0])); - F::store(out_g_c1.add(off), F::add(ge1, gp[1])); - F::store(out_g_c2.add(off), F::add(ge2, gp[2])); - i += lanes; - } - - // Scalar tail - while i < n_out { - let fe = [ - *src_f_c0.add(2 * i), - *src_f_c1.add(2 * i), - *src_f_c2.add(2 * i), - ]; - let fo = [ - *src_f_c0.add(2 * i + 1), - *src_f_c1.add(2 * i + 1), - *src_f_c2.add(2 * i + 1), - ]; - let ge = [ - *src_g_c0.add(2 * i), - *src_g_c1.add(2 * i), - *src_g_c2.add(2 * i), - ]; - let go_ = [ - *src_g_c0.add(2 * i + 1), - *src_g_c1.add(2 * i + 1), - *src_g_c2.add(2 * i + 1), - ]; - - let fd = [ - F::scalar_sub(fo[0], fe[0]), - F::scalar_sub(fo[1], fe[1]), - F::scalar_sub(fo[2], fe[2]), - ]; - let fp = scalar_ext3_mul::(challenge, fd, w); - *out_f_c0.add(i) = F::scalar_add(fe[0], fp[0]); - *out_f_c1.add(i) = F::scalar_add(fe[1], fp[1]); - *out_f_c2.add(i) = F::scalar_add(fe[2], fp[2]); - - let gd = [ - F::scalar_sub(go_[0], ge[0]), - F::scalar_sub(go_[1], ge[1]), - F::scalar_sub(go_[2], ge[2]), - ]; - let gp = scalar_ext3_mul::(challenge, gd, w); - *out_g_c0.add(i) = F::scalar_add(ge[0], gp[0]); - *out_g_c1.add(i) = F::scalar_add(ge[1], gp[1]); - *out_g_c2.add(i) = F::scalar_add(ge[2], gp[2]); - i += 1; - } -} - -/// In-place ext3 reduce (no evaluate). Returns the new length. -#[allow(clippy::too_many_arguments)] -pub fn ext3_soa_product_reduce_only>( - f_c0: &mut [u64], - f_c1: &mut [u64], - f_c2: &mut [u64], - g_c0: &mut [u64], - g_c1: &mut [u64], - g_c2: &mut [u64], - challenge: [u64; 3], - w: u64, -) -> usize { - let n_elems = f_c0.len(); - let n_out = n_elems / 2; - unsafe { - ext3_soa_product_reduce_only_raw::( - f_c0.as_ptr(), - f_c1.as_ptr(), - f_c2.as_ptr(), - g_c0.as_ptr(), - g_c1.as_ptr(), - g_c2.as_ptr(), - f_c0.as_mut_ptr(), - f_c1.as_mut_ptr(), - f_c2.as_mut_ptr(), - g_c0.as_mut_ptr(), - g_c1.as_mut_ptr(), - g_c2.as_mut_ptr(), - n_out, - challenge, - w, - ); - } - n_out -} - -/// Distinct-buffer ext3 reduce (no evaluate). -#[allow(clippy::too_many_arguments)] -pub fn ext3_soa_product_reduce_only_into>( - src_f_c0: &[u64], - src_f_c1: &[u64], - src_f_c2: &[u64], - src_g_c0: &[u64], - src_g_c1: &[u64], - src_g_c2: &[u64], - out_f_c0: &mut [u64], - out_f_c1: &mut [u64], - out_f_c2: &mut [u64], - out_g_c0: &mut [u64], - out_g_c1: &mut [u64], - out_g_c2: &mut [u64], - challenge: [u64; 3], - w: u64, -) { - let n_out = out_f_c0.len(); - unsafe { - ext3_soa_product_reduce_only_raw::( - src_f_c0.as_ptr(), - src_f_c1.as_ptr(), - src_f_c2.as_ptr(), - src_g_c0.as_ptr(), - src_g_c1.as_ptr(), - src_g_c2.as_ptr(), - out_f_c0.as_mut_ptr(), - out_f_c1.as_mut_ptr(), - out_f_c2.as_mut_ptr(), - out_g_c0.as_mut_ptr(), - out_g_c1.as_mut_ptr(), - out_g_c2.as_mut_ptr(), - n_out, - challenge, - w, - ); - } -} - -/// Parallel ext3 reduce (no evaluate). -#[cfg(feature = "parallel")] -#[allow(clippy::too_many_arguments)] -pub fn ext3_soa_product_reduce_only_parallel>( - src_f_c0: &[u64], - src_f_c1: &[u64], - src_f_c2: &[u64], - src_g_c0: &[u64], - src_g_c1: &[u64], - src_g_c2: &[u64], - out_f_c0: &mut [u64], - out_f_c1: &mut [u64], - out_f_c2: &mut [u64], - out_g_c0: &mut [u64], - out_g_c1: &mut [u64], - out_g_c2: &mut [u64], - challenge: [u64; 3], - w: u64, -) { - use rayon::prelude::*; - - let n_out = out_f_c0.len(); - let chunk_pairs = 32_768_usize; - if n_out <= chunk_pairs { - return ext3_soa_product_reduce_only_into::( - src_f_c0, src_f_c1, src_f_c2, src_g_c0, src_g_c1, src_g_c2, out_f_c0, out_f_c1, - out_f_c2, out_g_c0, out_g_c1, out_g_c2, challenge, w, - ); - } - - (out_f_c0.par_chunks_mut(chunk_pairs)) - .zip(out_f_c1.par_chunks_mut(chunk_pairs)) - .zip(out_f_c2.par_chunks_mut(chunk_pairs)) - .zip(out_g_c0.par_chunks_mut(chunk_pairs)) - .zip(out_g_c1.par_chunks_mut(chunk_pairs)) - .zip(out_g_c2.par_chunks_mut(chunk_pairs)) - .enumerate() - .for_each(|(idx, (((((ofc0, ofc1), ofc2), ogc0), ogc1), ogc2))| { - let start = idx * chunk_pairs; - let end = start + ofc0.len(); - ext3_soa_product_reduce_only_into::( - &src_f_c0[2 * start..2 * end], - &src_f_c1[2 * start..2 * end], - &src_f_c2[2 * start..2 * end], - &src_g_c0[2 * start..2 * end], - &src_g_c1[2 * start..2 * end], - &src_g_c2[2 * start..2 * end], - ofc0, - ofc1, - ofc2, - ogc0, - ogc1, - ogc2, - challenge, - w, - ); - }); -} - -#[cfg(not(feature = "parallel"))] -#[allow(clippy::too_many_arguments)] -pub fn ext3_soa_product_reduce_only_parallel>( - src_f_c0: &[u64], - src_f_c1: &[u64], - src_f_c2: &[u64], - src_g_c0: &[u64], - src_g_c1: &[u64], - src_g_c2: &[u64], - out_f_c0: &mut [u64], - out_f_c1: &mut [u64], - out_f_c2: &mut [u64], - out_g_c0: &mut [u64], - out_g_c1: &mut [u64], - out_g_c2: &mut [u64], - challenge: [u64; 3], - w: u64, -) { - ext3_soa_product_reduce_only_into::( - src_f_c0, src_f_c1, src_f_c2, src_g_c0, src_g_c1, src_g_c2, out_f_c0, out_f_c1, out_f_c2, - out_g_c0, out_g_c1, out_g_c2, challenge, w, - ); -} - -// ═══════════════════════════════════════════════════════════════════════════ -// Fused reduce + next-round-evaluate kernels -// ═══════════════════════════════════════════════════════════════════════════ -// -// These kernels reduce the source (round k) into the output (round k+1) -// AND accumulate round k+1's evaluate `(a, b) = (Σ f_e·g_e, Σ f_e·g_o + f_o·g_e)` -// in a single pass over the data. Saves one full read of the source per -// round relative to the `reduce_only` + standalone `evaluate` pattern. -// -// Technique: 2× unroll the SIMD loop so each iteration stores `2·LANES` -// reduced outputs to contiguous memory. Then a `load_deinterleaved` read -// of that just-written region (hot in L1) gives the round-k+1 even/odd -// pair split directly: `evens = [r[0], r[2], …, r[2L−2]]`, -// `odds = [r[1], r[3], …, r[2L−1]]`. Those pairs feed the evaluate -// accumulators via the same `soa_ext{2,3}_mul` Karatsuba the reduce uses. -// -// For use with the `pending_eval` pattern in the dispatch: only round 0 -// calls standalone evaluate; rounds 1+ consume the `(a_{k+1}, b_{k+1})` -// returned by this kernel from round k. - -// ── ext3 fused reduce + next-round evaluate ──────────────────────────────── - -#[inline(always)] -#[allow(clippy::too_many_arguments)] -unsafe fn ext3_soa_product_fused_reduce_next_eval_raw>( - src_f_c0: *const u64, - src_f_c1: *const u64, - src_f_c2: *const u64, - src_g_c0: *const u64, - src_g_c1: *const u64, - src_g_c2: *const u64, - out_f_c0: *mut u64, - out_f_c1: *mut u64, - out_f_c2: *mut u64, - out_g_c0: *mut u64, - out_g_c1: *mut u64, - out_g_c2: *mut u64, - n_out: usize, - challenge: [u64; 3], - w: u64, -) -> ([u64; 3], [u64; 3]) { - let lanes = F::LANES; - let step = 2 * lanes; // 2× unroll: each iter produces 2·LANES reduced outputs - let aligned = (n_out / step) * step; - let w_vec = F::splat(w); - let ch = [ - F::splat(challenge[0]), - F::splat(challenge[1]), - F::splat(challenge[2]), - ]; - - let zero = F::splat(F::ZERO); - let mut acc_a = [zero; 3]; - let mut acc_b = [zero; 3]; - - let mut i = 0; - while i < aligned { - // Unroll A: reduce LANES source pairs into reduced outputs [i .. i+lanes). - let (fc0_fe_a, fc0_fo_a) = F::load_deinterleaved(src_f_c0.add(2 * i)); - let (fc1_fe_a, fc1_fo_a) = F::load_deinterleaved(src_f_c1.add(2 * i)); - let (fc2_fe_a, fc2_fo_a) = F::load_deinterleaved(src_f_c2.add(2 * i)); - let (gc0_ge_a, gc0_go_a) = F::load_deinterleaved(src_g_c0.add(2 * i)); - let (gc1_ge_a, gc1_go_a) = F::load_deinterleaved(src_g_c1.add(2 * i)); - let (gc2_ge_a, gc2_go_a) = F::load_deinterleaved(src_g_c2.add(2 * i)); - - let fd_a = [ - F::sub(fc0_fo_a, fc0_fe_a), - F::sub(fc1_fo_a, fc1_fe_a), - F::sub(fc2_fo_a, fc2_fe_a), - ]; - let fp_a = soa_ext3_mul::(ch, fd_a, w_vec); - F::store(out_f_c0.add(i), F::add(fc0_fe_a, fp_a[0])); - F::store(out_f_c1.add(i), F::add(fc1_fe_a, fp_a[1])); - F::store(out_f_c2.add(i), F::add(fc2_fe_a, fp_a[2])); - - let gd_a = [ - F::sub(gc0_go_a, gc0_ge_a), - F::sub(gc1_go_a, gc1_ge_a), - F::sub(gc2_go_a, gc2_ge_a), - ]; - let gp_a = soa_ext3_mul::(ch, gd_a, w_vec); - F::store(out_g_c0.add(i), F::add(gc0_ge_a, gp_a[0])); - F::store(out_g_c1.add(i), F::add(gc1_ge_a, gp_a[1])); - F::store(out_g_c2.add(i), F::add(gc2_ge_a, gp_a[2])); - - // Unroll B: second LANES of reduced outputs [i+lanes .. i+2·lanes). - let off_b = i + lanes; - let (fc0_fe_b, fc0_fo_b) = F::load_deinterleaved(src_f_c0.add(2 * off_b)); - let (fc1_fe_b, fc1_fo_b) = F::load_deinterleaved(src_f_c1.add(2 * off_b)); - let (fc2_fe_b, fc2_fo_b) = F::load_deinterleaved(src_f_c2.add(2 * off_b)); - let (gc0_ge_b, gc0_go_b) = F::load_deinterleaved(src_g_c0.add(2 * off_b)); - let (gc1_ge_b, gc1_go_b) = F::load_deinterleaved(src_g_c1.add(2 * off_b)); - let (gc2_ge_b, gc2_go_b) = F::load_deinterleaved(src_g_c2.add(2 * off_b)); + *ptr.add(out_off) = r0; + *ptr.add(out_off + 1) = r1; + } + } + } - let fd_b = [ - F::sub(fc0_fo_b, fc0_fe_b), - F::sub(fc1_fo_b, fc1_fe_b), - F::sub(fc2_fo_b, fc2_fe_b), - ]; - let fp_b = soa_ext3_mul::(ch, fd_b, w_vec); - F::store(out_f_c0.add(off_b), F::add(fc0_fe_b, fp_b[0])); - F::store(out_f_c1.add(off_b), F::add(fc1_fe_b, fp_b[1])); - F::store(out_f_c2.add(off_b), F::add(fc2_fe_b, fp_b[2])); + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] + { + use crate::simd_fields::goldilocks::avx512::{ + ext2_reduce_8pairs, ext2_scalar_mul, GoldilocksAvx512, + }; - let gd_b = [ - F::sub(gc0_go_b, gc0_ge_b), - F::sub(gc1_go_b, gc1_ge_b), - F::sub(gc2_go_b, gc2_ge_b), - ]; - let gp_b = soa_ext3_mul::(ch, gd_b, w_vec); - F::store(out_g_c0.add(off_b), F::add(gc0_ge_b, gp_b[0])); - F::store(out_g_c1.add(off_b), F::add(gc1_ge_b, gp_b[1])); - F::store(out_g_c2.add(off_b), F::add(gc2_ge_b, gp_b[2])); + let challenge_c0 = GoldilocksAvx512::splat(challenge[0]); + let challenge_c1 = GoldilocksAvx512::splat(challenge[1]); + let w_vec = GoldilocksAvx512::splat(w); - // Next-round evaluate: reload the just-stored 2·LANES reduced - // outputs via deinterleave. `load_deinterleaved(ptr)` reads - // `2·LANES` u64s starting at ptr and returns - // evens = [r[0], r[2], …, r[2L−2]] (first elements of each pair) - // odds = [r[1], r[3], …, r[2L−1]] (second elements of each pair) - // Those are exactly the round-k+1 even/odd component lanes. - let (fc0_e, fc0_o) = F::load_deinterleaved(out_f_c0.add(i)); - let (fc1_e, fc1_o) = F::load_deinterleaved(out_f_c1.add(i)); - let (fc2_e, fc2_o) = F::load_deinterleaved(out_f_c2.add(i)); - let (gc0_e, gc0_o) = F::load_deinterleaved(out_g_c0.add(i)); - let (gc1_e, gc1_o) = F::load_deinterleaved(out_g_c1.add(i)); - let (gc2_e, gc2_o) = F::load_deinterleaved(out_g_c2.add(i)); + let ptr = src.as_mut_ptr(); + let simd_pairs = (n_pairs / 8) * 8; + let mut i = 0; - let pa = soa_ext3_mul::([fc0_e, fc1_e, fc2_e], [gc0_e, gc1_e, gc2_e], w_vec); - acc_a[0] = F::add(acc_a[0], pa[0]); - acc_a[1] = F::add(acc_a[1], pa[1]); - acc_a[2] = F::add(acc_a[2], pa[2]); + // Safe in-place: ext2_reduce_8pairs loads all 32 u64s into registers + // before writing 16 u64s, and output region is always <= input region. + while i < simd_pairs { + let src_off = (2 * i) * ext_deg; + let out_off = i * ext_deg; + unsafe { + ext2_reduce_8pairs( + ptr.add(src_off) as *const u64, + ptr.add(out_off), + challenge_c0, + challenge_c1, + w_vec, + ); + } + i += 8; + } - let peg = soa_ext3_mul::([fc0_e, fc1_e, fc2_e], [gc0_o, gc1_o, gc2_o], w_vec); - let poe = soa_ext3_mul::([fc0_o, fc1_o, fc2_o], [gc0_e, gc1_e, gc2_e], w_vec); - acc_b[0] = F::add(acc_b[0], F::add(peg[0], poe[0])); - acc_b[1] = F::add(acc_b[1], F::add(peg[1], poe[1])); - acc_b[2] = F::add(acc_b[2], F::add(peg[2], poe[2])); + while i < n_pairs { + let a_off = (2 * i) * ext_deg; + let b_off = (2 * i + 1) * ext_deg; + let out_off = i * ext_deg; - i += step; - } + let diff = [ + GoldilocksAvx512::scalar_sub(src[b_off], src[a_off]), + GoldilocksAvx512::scalar_sub(src[b_off + 1], src[a_off + 1]), + ]; + let prod = ext2_scalar_mul(diff, challenge, w); - // Horizontal-reduce SIMD accumulators into scalar (a, b). - let mut buf = [F::ZERO; 32]; - let mut a = [F::ZERO; 3]; - let mut b = [F::ZERO; 3]; - for c in 0..3 { - F::store(buf.as_mut_ptr(), acc_a[c]); - for &v in buf.iter().take(lanes) { - a[c] = F::scalar_add(a[c], v); - } - F::store(buf.as_mut_ptr(), acc_b[c]); - for &v in buf.iter().take(lanes) { - b[c] = F::scalar_add(b[c], v); + src[out_off] = GoldilocksAvx512::scalar_add(src[a_off], prod[0]); + src[out_off + 1] = GoldilocksAvx512::scalar_add(src[a_off + 1], prod[1]); + i += 1; } } - // Scalar tail: reduce pairs of elements at a time, accumulating next-eval. - while i + 1 < n_out { - // Reduce element i - let fe_i = [ - *src_f_c0.add(2 * i), - *src_f_c1.add(2 * i), - *src_f_c2.add(2 * i), - ]; - let fo_i = [ - *src_f_c0.add(2 * i + 1), - *src_f_c1.add(2 * i + 1), - *src_f_c2.add(2 * i + 1), - ]; - let ge_i = [ - *src_g_c0.add(2 * i), - *src_g_c1.add(2 * i), - *src_g_c2.add(2 * i), - ]; - let go_i = [ - *src_g_c0.add(2 * i + 1), - *src_g_c1.add(2 * i + 1), - *src_g_c2.add(2 * i + 1), - ]; - let fd = [ - F::scalar_sub(fo_i[0], fe_i[0]), - F::scalar_sub(fo_i[1], fe_i[1]), - F::scalar_sub(fo_i[2], fe_i[2]), - ]; - let fp = scalar_ext3_mul::(challenge, fd, w); - let r_f_i = [ - F::scalar_add(fe_i[0], fp[0]), - F::scalar_add(fe_i[1], fp[1]), - F::scalar_add(fe_i[2], fp[2]), - ]; - *out_f_c0.add(i) = r_f_i[0]; - *out_f_c1.add(i) = r_f_i[1]; - *out_f_c2.add(i) = r_f_i[2]; - let gd = [ - F::scalar_sub(go_i[0], ge_i[0]), - F::scalar_sub(go_i[1], ge_i[1]), - F::scalar_sub(go_i[2], ge_i[2]), - ]; - let gp = scalar_ext3_mul::(challenge, gd, w); - let r_g_i = [ - F::scalar_add(ge_i[0], gp[0]), - F::scalar_add(ge_i[1], gp[1]), - F::scalar_add(ge_i[2], gp[2]), - ]; - *out_g_c0.add(i) = r_g_i[0]; - *out_g_c1.add(i) = r_g_i[1]; - *out_g_c2.add(i) = r_g_i[2]; + n_pairs * ext_deg +} +#[cfg_attr( + not(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") + )), + allow(unused_variables) +)] +pub fn ext3_reduce_in_place>( + src: &mut [u64], + challenge: [u64; 3], + w: u64, +) -> usize { + let ext_deg = 3; + let n_elems = src.len() / ext_deg; + let n_pairs = n_elems / 2; - // Reduce element i+1 - let j = i + 1; - let fe_j = [ - *src_f_c0.add(2 * j), - *src_f_c1.add(2 * j), - *src_f_c2.add(2 * j), - ]; - let fo_j = [ - *src_f_c0.add(2 * j + 1), - *src_f_c1.add(2 * j + 1), - *src_f_c2.add(2 * j + 1), - ]; - let ge_j = [ - *src_g_c0.add(2 * j), - *src_g_c1.add(2 * j), - *src_g_c2.add(2 * j), - ]; - let go_j = [ - *src_g_c0.add(2 * j + 1), - *src_g_c1.add(2 * j + 1), - *src_g_c2.add(2 * j + 1), - ]; - let fd_j = [ - F::scalar_sub(fo_j[0], fe_j[0]), - F::scalar_sub(fo_j[1], fe_j[1]), - F::scalar_sub(fo_j[2], fe_j[2]), - ]; - let fp_j = scalar_ext3_mul::(challenge, fd_j, w); - let r_f_j = [ - F::scalar_add(fe_j[0], fp_j[0]), - F::scalar_add(fe_j[1], fp_j[1]), - F::scalar_add(fe_j[2], fp_j[2]), - ]; - *out_f_c0.add(j) = r_f_j[0]; - *out_f_c1.add(j) = r_f_j[1]; - *out_f_c2.add(j) = r_f_j[2]; - let gd_j = [ - F::scalar_sub(go_j[0], ge_j[0]), - F::scalar_sub(go_j[1], ge_j[1]), - F::scalar_sub(go_j[2], ge_j[2]), - ]; - let gp_j = scalar_ext3_mul::(challenge, gd_j, w); - let r_g_j = [ - F::scalar_add(ge_j[0], gp_j[0]), - F::scalar_add(ge_j[1], gp_j[1]), - F::scalar_add(ge_j[2], gp_j[2]), - ]; - *out_g_c0.add(j) = r_g_j[0]; - *out_g_c1.add(j) = r_g_j[1]; - *out_g_c2.add(j) = r_g_j[2]; + #[cfg(target_arch = "aarch64")] + { + use crate::simd_fields::goldilocks::neon::{ext3_scalar_mul, GoldilocksNeon}; - // Next-eval: pair (r_f_i, r_f_j) × (r_g_i, r_g_j) - let pa = scalar_ext3_mul::(r_f_i, r_g_i, w); - a[0] = F::scalar_add(a[0], pa[0]); - a[1] = F::scalar_add(a[1], pa[1]); - a[2] = F::scalar_add(a[2], pa[2]); - let peg = scalar_ext3_mul::(r_f_i, r_g_j, w); - let poe = scalar_ext3_mul::(r_f_j, r_g_i, w); - b[0] = F::scalar_add(b[0], F::scalar_add(peg[0], poe[0])); - b[1] = F::scalar_add(b[1], F::scalar_add(peg[1], poe[1])); - b[2] = F::scalar_add(b[2], F::scalar_add(peg[2], poe[2])); + for i in 0..n_pairs { + let a_off = (2 * i) * ext_deg; + let b_off = (2 * i + 1) * ext_deg; + let out_off = i * ext_deg; - i += 2; + let diff = [ + GoldilocksNeon::scalar_sub(src[b_off], src[a_off]), + GoldilocksNeon::scalar_sub(src[b_off + 1], src[a_off + 1]), + GoldilocksNeon::scalar_sub(src[b_off + 2], src[a_off + 2]), + ]; + let prod = ext3_scalar_mul(diff, challenge, w); + src[out_off] = GoldilocksNeon::scalar_add(src[a_off], prod[0]); + src[out_off + 1] = GoldilocksNeon::scalar_add(src[a_off + 1], prod[1]); + src[out_off + 2] = GoldilocksNeon::scalar_add(src[a_off + 2], prod[2]); + } } - // Final straggler: if n_out is odd, reduce the last element without - // contributing to next-round-eval (no pair to form). - if i < n_out { - let fe = [ - *src_f_c0.add(2 * i), - *src_f_c1.add(2 * i), - *src_f_c2.add(2 * i), - ]; - let fo = [ - *src_f_c0.add(2 * i + 1), - *src_f_c1.add(2 * i + 1), - *src_f_c2.add(2 * i + 1), - ]; - let ge = [ - *src_g_c0.add(2 * i), - *src_g_c1.add(2 * i), - *src_g_c2.add(2 * i), - ]; - let go = [ - *src_g_c0.add(2 * i + 1), - *src_g_c1.add(2 * i + 1), - *src_g_c2.add(2 * i + 1), - ]; - let fd = [ - F::scalar_sub(fo[0], fe[0]), - F::scalar_sub(fo[1], fe[1]), - F::scalar_sub(fo[2], fe[2]), - ]; - let fp = scalar_ext3_mul::(challenge, fd, w); - *out_f_c0.add(i) = F::scalar_add(fe[0], fp[0]); - *out_f_c1.add(i) = F::scalar_add(fe[1], fp[1]); - *out_f_c2.add(i) = F::scalar_add(fe[2], fp[2]); - let gd = [ - F::scalar_sub(go[0], ge[0]), - F::scalar_sub(go[1], ge[1]), - F::scalar_sub(go[2], ge[2]), - ]; - let gp = scalar_ext3_mul::(challenge, gd, w); - *out_g_c0.add(i) = F::scalar_add(ge[0], gp[0]); - *out_g_c1.add(i) = F::scalar_add(ge[1], gp[1]); - *out_g_c2.add(i) = F::scalar_add(ge[2], gp[2]); - } + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] + { + use crate::simd_fields::goldilocks::avx512::{ + ext3_reduce_8pairs, ext3_scalar_mul, GoldilocksAvx512, + }; - (a, b) -} + let challenge_v = [ + GoldilocksAvx512::splat(challenge[0]), + GoldilocksAvx512::splat(challenge[1]), + GoldilocksAvx512::splat(challenge[2]), + ]; + let w_vec = GoldilocksAvx512::splat(w); -/// In-place ext3 fused reduce + next-round evaluate. Writes reduced output -/// to the first half of each input slice. Returns `(a_{k+1}, b_{k+1})` — the -/// round-k+1 evaluate coefficients computed from the just-reduced output. -#[allow(clippy::too_many_arguments)] -pub fn ext3_soa_product_fused_reduce_next_eval>( - f_c0: &mut [u64], - f_c1: &mut [u64], - f_c2: &mut [u64], - g_c0: &mut [u64], - g_c1: &mut [u64], - g_c2: &mut [u64], - challenge: [u64; 3], - w: u64, -) -> ([u64; 3], [u64; 3], usize) { - let n_elems = f_c0.len(); - let n_out = n_elems / 2; - // SAFETY: same aliasing reasoning as `ext3_soa_product_reduce_only`: each - // iteration reads src[2i], src[2i+1] and writes out[i] where 2i ≥ i, so - // in-place mutation never clobbers unread source. The fused next-eval - // reload reads out[i..i+2·LANES], which were both just written in the - // current iteration. - let (a, b) = unsafe { - ext3_soa_product_fused_reduce_next_eval_raw::( - f_c0.as_ptr(), - f_c1.as_ptr(), - f_c2.as_ptr(), - g_c0.as_ptr(), - g_c1.as_ptr(), - g_c2.as_ptr(), - f_c0.as_mut_ptr(), - f_c1.as_mut_ptr(), - f_c2.as_mut_ptr(), - g_c0.as_mut_ptr(), - g_c1.as_mut_ptr(), - g_c2.as_mut_ptr(), - n_out, - challenge, - w, - ) - }; - (a, b, n_out) -} + let ptr = src.as_mut_ptr(); + let simd_pairs = (n_pairs / 8) * 8; + let mut i = 0; -/// Distinct-buffer ext3 fused reduce + next-round evaluate. Returns -/// `(a_{k+1}, b_{k+1})` — the round-k+1 evaluate coefficients computed -/// from the just-reduced output. -#[allow(clippy::too_many_arguments)] -pub fn ext3_soa_product_fused_reduce_next_eval_into>( - src_f_c0: &[u64], - src_f_c1: &[u64], - src_f_c2: &[u64], - src_g_c0: &[u64], - src_g_c1: &[u64], - src_g_c2: &[u64], - out_f_c0: &mut [u64], - out_f_c1: &mut [u64], - out_f_c2: &mut [u64], - out_g_c0: &mut [u64], - out_g_c1: &mut [u64], - out_g_c2: &mut [u64], - challenge: [u64; 3], - w: u64, -) -> ([u64; 3], [u64; 3]) { - let n_out = out_f_c0.len(); - unsafe { - ext3_soa_product_fused_reduce_next_eval_raw::( - src_f_c0.as_ptr(), - src_f_c1.as_ptr(), - src_f_c2.as_ptr(), - src_g_c0.as_ptr(), - src_g_c1.as_ptr(), - src_g_c2.as_ptr(), - out_f_c0.as_mut_ptr(), - out_f_c1.as_mut_ptr(), - out_f_c2.as_mut_ptr(), - out_g_c0.as_mut_ptr(), - out_g_c1.as_mut_ptr(), - out_g_c2.as_mut_ptr(), - n_out, - challenge, - w, - ) - } -} + // Safe in-place: ext3_reduce_8pairs gathers all 48 u64s into registers + // before scattering 24 u64s, and output region is always <= input region. + while i < simd_pairs { + let src_off = (2 * i) * ext_deg; + let out_off = i * ext_deg; + unsafe { + ext3_reduce_8pairs( + ptr.add(src_off) as *const u64, + ptr.add(out_off), + challenge_v, + w_vec, + ); + } + i += 8; + } -/// Parallel ext3 fused reduce + next-round evaluate. -#[cfg(feature = "parallel")] -#[allow(clippy::too_many_arguments)] -pub fn ext3_soa_product_fused_reduce_next_eval_parallel>( - src_f_c0: &[u64], - src_f_c1: &[u64], - src_f_c2: &[u64], - src_g_c0: &[u64], - src_g_c1: &[u64], - src_g_c2: &[u64], - out_f_c0: &mut [u64], - out_f_c1: &mut [u64], - out_f_c2: &mut [u64], - out_g_c0: &mut [u64], - out_g_c1: &mut [u64], - out_g_c2: &mut [u64], - challenge: [u64; 3], - w: u64, -) -> ([u64; 3], [u64; 3]) { - use rayon::prelude::*; + while i < n_pairs { + let a_off = (2 * i) * ext_deg; + let b_off = (2 * i + 1) * ext_deg; + let out_off = i * ext_deg; - let n_out = out_f_c0.len(); - let chunk_pairs = 32_768_usize; - if n_out <= chunk_pairs { - return ext3_soa_product_fused_reduce_next_eval_into::( - src_f_c0, src_f_c1, src_f_c2, src_g_c0, src_g_c1, src_g_c2, out_f_c0, out_f_c1, - out_f_c2, out_g_c0, out_g_c1, out_g_c2, challenge, w, - ); + let diff = [ + GoldilocksAvx512::scalar_sub(src[b_off], src[a_off]), + GoldilocksAvx512::scalar_sub(src[b_off + 1], src[a_off + 1]), + GoldilocksAvx512::scalar_sub(src[b_off + 2], src[a_off + 2]), + ]; + let prod = ext3_scalar_mul(diff, challenge, w); + src[out_off] = GoldilocksAvx512::scalar_add(src[a_off], prod[0]); + src[out_off + 1] = GoldilocksAvx512::scalar_add(src[a_off + 1], prod[1]); + src[out_off + 2] = GoldilocksAvx512::scalar_add(src[a_off + 2], prod[2]); + i += 1; + } } - (out_f_c0.par_chunks_mut(chunk_pairs)) - .zip(out_f_c1.par_chunks_mut(chunk_pairs)) - .zip(out_f_c2.par_chunks_mut(chunk_pairs)) - .zip(out_g_c0.par_chunks_mut(chunk_pairs)) - .zip(out_g_c1.par_chunks_mut(chunk_pairs)) - .zip(out_g_c2.par_chunks_mut(chunk_pairs)) - .enumerate() - .map(|(idx, (((((ofc0, ofc1), ofc2), ogc0), ogc1), ogc2))| { - let start = idx * chunk_pairs; - let end = start + ofc0.len(); - ext3_soa_product_fused_reduce_next_eval_into::( - &src_f_c0[2 * start..2 * end], - &src_f_c1[2 * start..2 * end], - &src_f_c2[2 * start..2 * end], - &src_g_c0[2 * start..2 * end], - &src_g_c1[2 * start..2 * end], - &src_g_c2[2 * start..2 * end], - ofc0, - ofc1, - ofc2, - ogc0, - ogc1, - ogc2, - challenge, - w, - ) - }) - .reduce( - || ([0u64; 3], [0u64; 3]), - |(a1, b1), (a2, b2)| { - ( - [ - F::scalar_add(a1[0], a2[0]), - F::scalar_add(a1[1], a2[1]), - F::scalar_add(a1[2], a2[2]), - ], - [ - F::scalar_add(b1[0], b2[0]), - F::scalar_add(b1[1], b2[1]), - F::scalar_add(b1[2], b2[2]), - ], - ) - }, - ) -} - -#[cfg(not(feature = "parallel"))] -#[allow(clippy::too_many_arguments)] -pub fn ext3_soa_product_fused_reduce_next_eval_parallel>( - src_f_c0: &[u64], - src_f_c1: &[u64], - src_f_c2: &[u64], - src_g_c0: &[u64], - src_g_c1: &[u64], - src_g_c2: &[u64], - out_f_c0: &mut [u64], - out_f_c1: &mut [u64], - out_f_c2: &mut [u64], - out_g_c0: &mut [u64], - out_g_c1: &mut [u64], - out_g_c2: &mut [u64], - challenge: [u64; 3], - w: u64, -) -> ([u64; 3], [u64; 3]) { - ext3_soa_product_fused_reduce_next_eval_into::( - src_f_c0, src_f_c1, src_f_c2, src_g_c0, src_g_c1, src_g_c2, out_f_c0, out_f_c1, out_f_c2, - out_g_c0, out_g_c1, out_g_c2, challenge, w, - ) + n_pairs * ext_deg } - /// SoA ext2 inner product evaluate. /// /// Given `f` and `g` as ext2 elements in SoA layout (f_c0, f_c1, g_c0, g_c1), @@ -4143,34 +824,6 @@ mod tests { use ark_ff::UniformRand; use ark_std::test_rng; - #[test] - fn test_reduce_matches_pairwise() { - use crate::multilinear::reductions::pairwise; - - let mut rng = test_rng(); - let n = 1 << 16; - let evals_ff: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - let evals_raw: Vec = evals_ff.iter().map(|f| to_mont(*f)).collect(); - - let challenge_ff = F64::rand(&mut rng); - let challenge_raw = to_mont(challenge_ff); - - let mut expected_ff = evals_ff.clone(); - pairwise::reduce_evaluations(&mut expected_ff, challenge_ff); - - let received_raw = reduce_to_vec::(&evals_raw, challenge_raw); - - assert_eq!(expected_ff.len(), received_raw.len()); - for i in 0..expected_ff.len() { - assert_eq!( - to_mont(expected_ff[i]), - received_raw[i], - "mismatch at index {}", - i - ); - } - } - #[test] fn test_reduce_and_evaluate_matches() { use crate::multilinear::reductions::pairwise; @@ -4233,288 +886,4 @@ mod tests { ); assert_eq!(to_mont(expected_odd), fused_odd, "large fused odd mismatch"); } - - #[test] - fn test_reduce_parallel_matches() { - use crate::multilinear::reductions::pairwise; - - let mut rng = test_rng(); - let n = 1 << 20; - let evals_ff: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - let evals_raw: Vec = evals_ff.iter().map(|f| to_mont(*f)).collect(); - - let challenge_ff = F64::rand(&mut rng); - let challenge_raw = to_mont(challenge_ff); - - let mut expected_ff = evals_ff; - pairwise::reduce_evaluations(&mut expected_ff, challenge_ff); - - let received_raw = reduce_parallel::(&evals_raw, challenge_raw); - - assert_eq!(expected_ff.len(), received_raw.len()); - for i in 0..expected_ff.len() { - assert_eq!( - to_mont(expected_ff[i]), - received_raw[i], - "mismatch at index {}", - i - ); - } - } - - /// Verify the ext3 fused reduce+next-eval kernel produces the same - /// (reduced_data, a_{k+1}, b_{k+1}) as `reduce_only` followed by a - /// standalone `ext3_soa_product_evaluate` on the reduced data. - #[test] - fn test_ext3_fused_reduce_next_eval_matches_separate() { - use crate::tests::F64Ext3; - use ark_ff::UniformRand; - - let mut rng = test_rng(); - // Exercise SIMD main loop (n_out ≥ 2·LANES), scalar-tail pair, and - // straggler paths: large even, large odd, small. - for num_source_pairs in [32usize, 31, 17, 16, 8, 4, 2] { - let n_src = 2 * num_source_pairs; - // Sample random ext3 sources and convert to SoA u64 columns. - let f: Vec = (0..n_src).map(|_| F64Ext3::rand(&mut rng)).collect(); - let g: Vec = (0..n_src).map(|_| F64Ext3::rand(&mut rng)).collect(); - let (f_c0, f_c1, f_c2): (Vec, Vec, Vec) = { - let mut c0 = Vec::with_capacity(n_src); - let mut c1 = Vec::with_capacity(n_src); - let mut c2 = Vec::with_capacity(n_src); - for x in &f { - let bytes: [u64; 3] = unsafe { *(x as *const F64Ext3 as *const [u64; 3]) }; - c0.push(bytes[0]); - c1.push(bytes[1]); - c2.push(bytes[2]); - } - (c0, c1, c2) - }; - let (g_c0, g_c1, g_c2): (Vec, Vec, Vec) = { - let mut c0 = Vec::with_capacity(n_src); - let mut c1 = Vec::with_capacity(n_src); - let mut c2 = Vec::with_capacity(n_src); - for x in &g { - let bytes: [u64; 3] = unsafe { *(x as *const F64Ext3 as *const [u64; 3]) }; - c0.push(bytes[0]); - c1.push(bytes[1]); - c2.push(bytes[2]); - } - (c0, c1, c2) - }; - - // Random challenge and nonresidue in Montgomery form — use a - // small concrete nonresidue; the kernel treats `w` as opaque. - let chg: [u64; 3] = { - let c = F64Ext3::rand(&mut rng); - unsafe { *(&c as *const F64Ext3 as *const [u64; 3]) } - }; - let w: u64 = { - let nr = F64Ext3::rand(&mut rng); - unsafe { *(&nr as *const F64Ext3 as *const u64) } - }; - - // Reference: reduce_only then standalone evaluate on reduced. - let mut ref_out_f = ( - vec![0u64; n_src / 2], - vec![0u64; n_src / 2], - vec![0u64; n_src / 2], - ); - let mut ref_out_g = ( - vec![0u64; n_src / 2], - vec![0u64; n_src / 2], - vec![0u64; n_src / 2], - ); - ext3_soa_product_reduce_only_into::( - &f_c0, - &f_c1, - &f_c2, - &g_c0, - &g_c1, - &g_c2, - &mut ref_out_f.0, - &mut ref_out_f.1, - &mut ref_out_f.2, - &mut ref_out_g.0, - &mut ref_out_g.1, - &mut ref_out_g.2, - chg, - w, - ); - // Next-round evaluate: only defined when n_out ≥ 2. - let (ref_a, ref_b) = if n_src / 2 >= 2 { - ext3_soa_product_evaluate::( - &ref_out_f.0, - &ref_out_f.1, - &ref_out_f.2, - &ref_out_g.0, - &ref_out_g.1, - &ref_out_g.2, - w, - ) - } else { - ([0u64; 3], [0u64; 3]) - }; - - // Under test: fused kernel. - let mut got_out_f = ( - vec![0u64; n_src / 2], - vec![0u64; n_src / 2], - vec![0u64; n_src / 2], - ); - let mut got_out_g = ( - vec![0u64; n_src / 2], - vec![0u64; n_src / 2], - vec![0u64; n_src / 2], - ); - let (got_a, got_b) = ext3_soa_product_fused_reduce_next_eval_into::( - &f_c0, - &f_c1, - &f_c2, - &g_c0, - &g_c1, - &g_c2, - &mut got_out_f.0, - &mut got_out_f.1, - &mut got_out_f.2, - &mut got_out_g.0, - &mut got_out_g.1, - &mut got_out_g.2, - chg, - w, - ); - - assert_eq!(got_out_f.0, ref_out_f.0, "f_c0 mismatch (n_src={})", n_src); - assert_eq!(got_out_f.1, ref_out_f.1, "f_c1 mismatch (n_src={})", n_src); - assert_eq!(got_out_f.2, ref_out_f.2, "f_c2 mismatch (n_src={})", n_src); - assert_eq!(got_out_g.0, ref_out_g.0, "g_c0 mismatch (n_src={})", n_src); - assert_eq!(got_out_g.1, ref_out_g.1, "g_c1 mismatch (n_src={})", n_src); - assert_eq!(got_out_g.2, ref_out_g.2, "g_c2 mismatch (n_src={})", n_src); - if n_src / 2 >= 2 { - assert_eq!(got_a, ref_a, "a mismatch (n_src={})", n_src); - assert_eq!(got_b, ref_b, "b mismatch (n_src={})", n_src); - } - } - } - - /// Microbench: fused reduce+next-eval vs (reduce_only + standalone - /// evaluate). Run with: - /// - /// cargo test --release --lib bench_ext3_fused -- --ignored --nocapture - #[test] - #[ignore] - fn bench_ext3_fused_vs_separate() { - use crate::tests::F64Ext3; - use ark_ff::UniformRand; - use std::time::Instant; - - let mut rng = test_rng(); - for num_vars in [16usize, 18, 20, 22, 24] { - let n_src = 1usize << num_vars; - let f: Vec = (0..n_src).map(|_| F64Ext3::rand(&mut rng)).collect(); - let g: Vec = (0..n_src).map(|_| F64Ext3::rand(&mut rng)).collect(); - let (f_c0, f_c1, f_c2): (Vec, Vec, Vec) = { - let mut c0 = Vec::with_capacity(n_src); - let mut c1 = Vec::with_capacity(n_src); - let mut c2 = Vec::with_capacity(n_src); - for x in &f { - let bytes: [u64; 3] = unsafe { *(x as *const F64Ext3 as *const [u64; 3]) }; - c0.push(bytes[0]); - c1.push(bytes[1]); - c2.push(bytes[2]); - } - (c0, c1, c2) - }; - let (g_c0, g_c1, g_c2): (Vec, Vec, Vec) = { - let mut c0 = Vec::with_capacity(n_src); - let mut c1 = Vec::with_capacity(n_src); - let mut c2 = Vec::with_capacity(n_src); - for x in &g { - let bytes: [u64; 3] = unsafe { *(x as *const F64Ext3 as *const [u64; 3]) }; - c0.push(bytes[0]); - c1.push(bytes[1]); - c2.push(bytes[2]); - } - (c0, c1, c2) - }; - - let chg: [u64; 3] = { - let c = F64Ext3::rand(&mut rng); - unsafe { *(&c as *const F64Ext3 as *const [u64; 3]) } - }; - let w: u64 = { - let nr = F64Ext3::rand(&mut rng); - unsafe { *(&nr as *const F64Ext3 as *const u64) } - }; - - // SEPARATE: reduce_only + standalone evaluate - let mut out_f = ( - vec![0u64; n_src / 2], - vec![0u64; n_src / 2], - vec![0u64; n_src / 2], - ); - let mut out_g = ( - vec![0u64; n_src / 2], - vec![0u64; n_src / 2], - vec![0u64; n_src / 2], - ); - let t0 = Instant::now(); - ext3_soa_product_reduce_only_into::( - &f_c0, - &f_c1, - &f_c2, - &g_c0, - &g_c1, - &g_c2, - &mut out_f.0, - &mut out_f.1, - &mut out_f.2, - &mut out_g.0, - &mut out_g.1, - &mut out_g.2, - chg, - w, - ); - let _ = ext3_soa_product_evaluate::( - &out_f.0, &out_f.1, &out_f.2, &out_g.0, &out_g.1, &out_g.2, w, - ); - let t_sep = t0.elapsed(); - - // FUSED: reduce + next-eval in one pass - let mut out_f = ( - vec![0u64; n_src / 2], - vec![0u64; n_src / 2], - vec![0u64; n_src / 2], - ); - let mut out_g = ( - vec![0u64; n_src / 2], - vec![0u64; n_src / 2], - vec![0u64; n_src / 2], - ); - let t0 = Instant::now(); - let _ = ext3_soa_product_fused_reduce_next_eval_into::( - &f_c0, - &f_c1, - &f_c2, - &g_c0, - &g_c1, - &g_c2, - &mut out_f.0, - &mut out_f.1, - &mut out_f.2, - &mut out_g.0, - &mut out_g.1, - &mut out_g.2, - chg, - w, - ); - let t_fused = t0.elapsed(); - - let ratio = t_sep.as_secs_f64() / t_fused.as_secs_f64(); - println!( - "num_vars={:>2} n=2^{num_vars} separate={:>10.3?} fused={:>10.3?} speedup={:.2}x", - num_vars, t_sep, t_fused, ratio - ); - } - } } From 04343dd7e6af1eb45ad0527f84b2c38e407bdeba Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Fri, 17 Apr 2026 22:22:21 +0200 Subject: [PATCH 48/52] gitignore --- .claude/settings.json | 10 ---------- .gitignore | 1 + 2 files changed, 1 insertion(+), 10 deletions(-) delete mode 100644 .claude/settings.json diff --git a/.claude/settings.json b/.claude/settings.json deleted file mode 100644 index 84851e1c..00000000 --- a/.claude/settings.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "permissions": { - "allow": [ - "Bash(*)", - "Read(*)", - "Write(*)", - "Edit(*)" - ] - } -} diff --git a/.gitignore b/.gitignore index e186dd4a..b7bfef53 100644 --- a/.gitignore +++ b/.gitignore @@ -6,3 +6,4 @@ **/lag-poly-benches/target/ .vscode .DS_Store +.claude/ From 5fde362a76ee3a3d537de6d87dcbd54f5a306da5 Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Fri, 17 Apr 2026 23:01:58 +0200 Subject: [PATCH 49/52] msb fold --- src/simd_ops.rs | 191 ++++----------------------------- src/simd_sumcheck/dispatch.rs | 193 +++++++++------------------------- src/simd_sumcheck/reduce.rs | 77 +++++++++++++- 3 files changed, 141 insertions(+), 320 deletions(-) diff --git a/src/simd_ops.rs b/src/simd_ops.rs index de2c6607..785bdcab 100644 --- a/src/simd_ops.rs +++ b/src/simd_ops.rs @@ -50,158 +50,30 @@ pub fn pairwise_sum(data: &[F]) -> (F, F) { // ─── Fold ─────────────────────────────────────────────────────────────────── -/// Pairwise fold: `data[i] = data[2i] + challenge * (data[2i+1] - data[2i])`. +/// Half-split (MSB) fold: +/// `data[k] = data[k] + challenge * (data[k + L/2] − data[k])` for `k` in `0..L/2`. /// -/// Halves the length of `data`. SIMD-accelerated for Goldilocks-based fields. +/// Implicit zero padding: elements in the low half beyond `len − L/2` have +/// no partner and are folded as `data[k] * (1 − challenge)`. After the fold, +/// `data` is truncated to `L/2` (the next power of two ÷ 2). +/// +/// SIMD-accelerated for Goldilocks base field. Falls back to a scalar +/// recursive rayon::join fold for other fields and extension fields. pub fn fold(data: &mut Vec, challenge: F) { + // SIMD fast path for base-field Goldilocks (MSB layout). #[cfg(any( target_arch = "aarch64", all(target_arch = "x86_64", target_feature = "avx512ifma") ))] { - // Try SIMD base field reduce - if crate::simd_sumcheck::dispatch::try_simd_reduce(data, challenge) { - return; - } - // Try SIMD extension field reduce. - // On AVX-512: always (8-wide IFMA mul is faster than generic). - // On NEON: only for small inputs (scalar ext mul is slower than - // rayon-parallel generic reduce at scale). - #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] - if crate::simd_sumcheck::dispatch::try_simd_ext_reduce(data, challenge) { + if crate::simd_sumcheck::dispatch::try_simd_reduce_msb(data, challenge) { + data.shrink_to_fit(); return; } - #[cfg(target_arch = "aarch64")] - if data.len() <= (1 << 17) - && crate::simd_sumcheck::dispatch::try_simd_ext_reduce(data, challenge) - { - return; - } - } - - // Generic fallback: uses rayon-parallel reduce via arkworks - crate::multilinear::reductions::pairwise::reduce_evaluations(data, challenge); -} - -/// Fold two vectors in one interleaved pass. -/// -/// Equivalent to `fold(f, challenge); fold(g, challenge);` but reads -/// f and g data together for better cache utilization. -/// -/// SIMD-accelerated for Goldilocks base field. -pub fn fold_both(f: &mut Vec, g: &mut Vec, challenge: F) { - debug_assert_eq!(f.len(), g.len()); - - #[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") - ))] - { - if let Some(did_it) = try_simd_fold_both(f, g, challenge) { - if did_it { - return; - } - } - } - - // Fallback: two separate folds - fold(f, challenge); - fold(g, challenge); -} - -#[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") -))] -fn try_simd_fold_both(f: &mut Vec, g: &mut Vec, challenge: F) -> Option { - use crate::simd_sumcheck::dispatch::{field_to_u64_pub, is_goldilocks_pub}; - - #[cfg(target_arch = "aarch64")] - type Backend = crate::simd_fields::goldilocks::neon::GoldilocksNeon; - #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] - type Backend = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; - - if is_goldilocks_pub::() { - // Base field: fused interleaved reduce-both kernel. - let n = f.len(); - let f_raw: &mut [u64] = - unsafe { core::slice::from_raw_parts_mut(f.as_mut_ptr() as *mut u64, n) }; - let g_raw: &mut [u64] = - unsafe { core::slice::from_raw_parts_mut(g.as_mut_ptr() as *mut u64, n) }; - let chg: u64 = field_to_u64_pub(challenge); - - let new_len = - crate::simd_sumcheck::reduce::reduce_both_in_place::(f_raw, g_raw, chg); - f.truncate(new_len); - g.truncate(new_len); - return Some(true); - } - - // Ext2/ext3: call ext in-place reduce on f and g directly, sharing the - // challenge/nonresidue setup. Equivalent to `fold(f); fold(g)` but - // avoids the re-dispatch through `try_simd_reduce` → `try_simd_ext_reduce` - // on each call. On AVX-512 these kernels use 8-wide IFMA. - // - // NEON note: the existing ext reduce kernels do scalar Karatsuba under - // the SIMD wrapper (no true vector 64×64 mul). They still help vs the - // generic arkworks reduce for small inputs, but rayon-parallel generic - // reduce beats them at scale. Keep AVX-512-only routing here. - #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] - { - use crate::simd_sumcheck::dispatch::{ - extract_nonresidue_ext2, extract_nonresidue_ext3, is_goldilocks_based_pub, - }; - if is_goldilocks_based_pub::() - && core::mem::size_of::() - == (F::extension_degree() as usize) * core::mem::size_of::() - { - let d = F::extension_degree() as usize; - if d == 2 { - let chg_raw: [u64; 2] = unsafe { - let ptr = &challenge as *const F as *const u64; - [*ptr, *ptr.add(1)] - }; - let w = extract_nonresidue_ext2::(); - - let n_f = f.len() * d; - let f_buf: &mut [u64] = - unsafe { core::slice::from_raw_parts_mut(f.as_mut_ptr() as *mut u64, n_f) }; - crate::simd_sumcheck::reduce::ext2_reduce_in_place::(f_buf, chg_raw, w); - - let n_g = g.len() * d; - let g_buf: &mut [u64] = - unsafe { core::slice::from_raw_parts_mut(g.as_mut_ptr() as *mut u64, n_g) }; - crate::simd_sumcheck::reduce::ext2_reduce_in_place::(g_buf, chg_raw, w); - - f.truncate(f.len() / 2); - g.truncate(g.len() / 2); - return Some(true); - } - if d == 3 { - let chg_raw: [u64; 3] = unsafe { - let ptr = &challenge as *const F as *const u64; - [*ptr, *ptr.add(1), *ptr.add(2)] - }; - let w = extract_nonresidue_ext3::(); - - let n_f = f.len() * d; - let f_buf: &mut [u64] = - unsafe { core::slice::from_raw_parts_mut(f.as_mut_ptr() as *mut u64, n_f) }; - crate::simd_sumcheck::reduce::ext3_reduce_in_place::(f_buf, chg_raw, w); - - let n_g = g.len() * d; - let g_buf: &mut [u64] = - unsafe { core::slice::from_raw_parts_mut(g.as_mut_ptr() as *mut u64, n_g) }; - crate::simd_sumcheck::reduce::ext3_reduce_in_place::(g_buf, chg_raw, w); - - f.truncate(f.len() / 2); - g.truncate(g.len() / 2); - return Some(true); - } - } } - None + // Generic scalar MSB fold with rayon parallelism. + crate::multilinear_sumcheck::fold(data, challenge); } // ─── Product evaluate ─────────────────────────────────────────────────────── @@ -339,10 +211,10 @@ mod tests { let data: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); let challenge = F64::rand(&mut rng); - // Reference: manual fold - let expected: Vec = data - .chunks(2) - .map(|c| c[0] + challenge * (c[1] - c[0])) + // Reference: MSB (half-split) fold — pair data[k] with data[k + half]. + let half = n / 2; + let expected: Vec = (0..half) + .map(|k| data[k] + challenge * (data[k + half] - data[k])) .collect(); let mut result = data; @@ -358,9 +230,9 @@ mod tests { let data: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); let challenge = F64Ext2::rand(&mut rng); - let expected: Vec = data - .chunks(2) - .map(|c| c[0] + challenge * (c[1] - c[0])) + let half = n / 2; + let expected: Vec = (0..half) + .map(|k| data[k] + challenge * (data[k + half] - data[k])) .collect(); let mut result = data; @@ -369,29 +241,6 @@ mod tests { assert_eq!(result, expected); } - #[test] - fn test_fold_both_matches_separate() { - let mut rng = test_rng(); - let n = 1 << 10; - let f: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - let g: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - let challenge = F64::rand(&mut rng); - - // Separate fold - let mut f_sep = f.clone(); - let mut g_sep = g.clone(); - fold(&mut f_sep, challenge); - fold(&mut g_sep, challenge); - - // Combined fold - let mut f_both = f; - let mut g_both = g; - fold_both(&mut f_both, &mut g_both, challenge); - - assert_eq!(f_sep, f_both); - assert_eq!(g_sep, g_both); - } - #[test] fn test_pairwise_product_sum_base() { let mut rng = test_rng(); diff --git a/src/simd_sumcheck/dispatch.rs b/src/simd_sumcheck/dispatch.rs index 1e2631d4..05a1eb8a 100644 --- a/src/simd_sumcheck/dispatch.rs +++ b/src/simd_sumcheck/dispatch.rs @@ -100,48 +100,6 @@ fn is_goldilocks_based() -> bool { limbs[0] == GOLDILOCKS_P && limbs[1..].iter().all(|&x| x == 0) } -/// Extract the degree-2 nonresidue `w` from the extension field config. -/// Computes `(0, 1) * (0, 1) = (w, 0)` so `w` is at component 0. -#[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") -))] -#[inline] -pub(crate) fn extract_nonresidue_ext2< - EF: Field, - S: crate::simd_fields::SimdBaseField, ->() -> u64 { - let one_x = unsafe { - let mut tmp = [0u64; 2]; - tmp[1] = S::ONE; - let one_x: EF = core::mem::transmute_copy(&tmp); - one_x - }; - let nr = one_x * one_x; - unsafe { *((&nr) as *const EF as *const u64) } -} - -/// Extract the degree-3 nonresidue `w` from the extension field config. -/// Computes `(0, 1, 0)^3 = X^3 = w` so `w` is at component 0. -#[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") -))] -#[inline] -pub(crate) fn extract_nonresidue_ext3< - EF: Field, - S: crate::simd_fields::SimdBaseField, ->() -> u64 { - let one_x = unsafe { - let mut tmp = [0u64; 3]; - tmp[1] = S::ONE; - let one_x: EF = core::mem::transmute_copy(&tmp); - one_x - }; - let nr = one_x * one_x * one_x; - unsafe { *((&nr) as *const EF as *const u64) } -} - // ─── Standalone SIMD reduce (Field-level API) ────────────────────────────── /// SIMD-accelerated pairwise reduce on a `Vec`. @@ -173,6 +131,35 @@ pub(crate) fn try_simd_reduce(evals: &mut Vec, challenge: F) -> boo true } +/// SIMD-accelerated MSB (half-split) reduce on a `Vec`. +/// +/// Like [`try_simd_reduce`] but uses the half-split layout: +/// `new[k] = v[k] + challenge * (v[k + L/2] − v[k])`. +/// Returns `false` for non-Goldilocks fields. +#[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") +))] +pub(crate) fn try_simd_reduce_msb(evals: &mut Vec, challenge: F) -> bool { + if !is_goldilocks::() { + return false; + } + + #[cfg(target_arch = "aarch64")] + type Backend = crate::simd_fields::goldilocks::neon::GoldilocksNeon; + #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] + type Backend = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; + + use crate::simd_sumcheck::reduce::reduce_msb_in_place; + + let buf: &mut [u64] = + unsafe { core::slice::from_raw_parts_mut(evals.as_mut_ptr() as *mut u64, evals.len()) }; + let chg: u64 = field_to_u64(challenge); + let new_len = reduce_msb_in_place::(buf, chg); + evals.truncate(new_len); + true +} + // ─── SIMD degree-1 evaluate for coefficient sumcheck ──────────────────────── /// Fused SIMD reduce + degree-1 evaluate. @@ -249,96 +236,26 @@ pub(crate) fn try_simd_ext_evaluate(evals: &[EF]) -> Option<(EF, EF)> let (even_comps, odd_comps) = crate::simd_sumcheck::evaluate::ext_evaluate_parallel::(buf, d); - // Reconstruct extension field elements from component vectors - let even: EF = unsafe { ext_components_to_field(&even_comps) }; - let odd: EF = unsafe { ext_components_to_field(&odd_comps) }; - - Some((even, odd)) -} - -/// Reconstruct an extension field element from its raw u64 components. -/// -/// # Safety -/// -/// Components must be valid Montgomery-form u64 values and `F` must be -/// a Goldilocks extension with `size_of::() == components.len() * 8`. -#[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") -))] -#[inline(always)] -unsafe fn ext_components_to_field(components: &[u64]) -> F { - debug_assert_eq!(core::mem::size_of::(), components.len() * 8); - let mut val = core::mem::MaybeUninit::::uninit(); - core::ptr::copy_nonoverlapping( - components.as_ptr(), - val.as_mut_ptr() as *mut u64, - components.len(), - ); - val.assume_init() -} - -#[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") -))] -pub(crate) fn try_simd_ext_reduce(evals: &mut Vec, challenge: EF) -> bool { - if !is_goldilocks_based::() { - return false; - } - - let d = EF::extension_degree() as usize; - - if d == 1 { - // Base field — use existing reduce - return try_simd_reduce(evals, challenge); - } - - if d == 2 { - #[cfg(target_arch = "aarch64")] - type Backend = crate::simd_fields::goldilocks::neon::GoldilocksNeon; - #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] - type Backend = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; - - let chg_raw: [u64; 2] = unsafe { - let ptr = &challenge as *const EF as *const u64; - [*ptr, *ptr.add(1)] - }; - let w = extract_nonresidue_ext2::(); - - // In-place reduce: first half gets results, then truncate. - let n_u64 = evals.len() * d; - let buf: &mut [u64] = - unsafe { core::slice::from_raw_parts_mut(evals.as_mut_ptr() as *mut u64, n_u64) }; - crate::simd_sumcheck::reduce::ext2_reduce_in_place::(buf, chg_raw, w); - let new_len = evals.len() / 2; - evals.truncate(new_len); - return true; - } + // Reconstruct extension field elements from component vectors. + // Safety: components are valid Montgomery-form u64s and EF has + // size_of == components.len() * 8 (verified by is_goldilocks_based). + let ext_from_comps = |comps: &[u64]| -> EF { + debug_assert_eq!(core::mem::size_of::(), core::mem::size_of_val(comps)); + unsafe { + let mut out = core::mem::MaybeUninit::::uninit(); + core::ptr::copy_nonoverlapping( + comps.as_ptr(), + out.as_mut_ptr() as *mut u64, + comps.len(), + ); + out.assume_init() + } + }; - if d == 3 { - #[cfg(target_arch = "aarch64")] - type Backend3 = crate::simd_fields::goldilocks::neon::GoldilocksNeon; - #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] - type Backend3 = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; - - let chg_raw: [u64; 3] = unsafe { - let ptr = &challenge as *const EF as *const u64; - [*ptr, *ptr.add(1), *ptr.add(2)] - }; - let w = extract_nonresidue_ext3::(); - - let n_u64 = evals.len() * d; - let buf: &mut [u64] = - unsafe { core::slice::from_raw_parts_mut(evals.as_mut_ptr() as *mut u64, n_u64) }; - crate::simd_sumcheck::reduce::ext3_reduce_in_place::(buf, chg_raw, w); - let new_len = evals.len() / 2; - evals.truncate(new_len); - return true; - } + let even: EF = ext_from_comps(&even_comps); + let odd: EF = ext_from_comps(&odd_comps); - // degree 4+: fall through to generic - false + Some((even, odd)) } /// SIMD-accelerated degree-1 pairwise evaluate: returns `[s0, s1 - s0]`. @@ -409,12 +326,6 @@ pub fn is_goldilocks_pub() -> bool { is_goldilocks::() } -/// Public wrapper — accepts base Goldilocks or any Goldilocks-based extension. -#[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] -pub fn is_goldilocks_based_pub() -> bool { - is_goldilocks_based::() -} - /// Reinterpret a Montgomery-form `u64` as a field element (public wrapper). #[cfg(any( target_arch = "aarch64", @@ -424,13 +335,3 @@ pub fn is_goldilocks_based_pub() -> bool { pub fn u64_to_field_pub(raw: u64) -> F { u64_to_field(raw) } - -/// Reinterpret a field element as its Montgomery-form `u64` (public wrapper). -#[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") -))] -#[inline(always)] -pub fn field_to_u64_pub(val: F) -> u64 { - field_to_u64(val) -} diff --git a/src/simd_sumcheck/reduce.rs b/src/simd_sumcheck/reduce.rs index 9278b6be..45a13323 100644 --- a/src/simd_sumcheck/reduce.rs +++ b/src/simd_sumcheck/reduce.rs @@ -1,11 +1,82 @@ -//! SIMD-vectorized pairwise reduce: folds evaluations with a challenge. +//! SIMD-vectorized reduce kernels: fold evaluations with a challenge. //! -//! For each adjacent pair `(a, b)`: `result = a + challenge * (b - a)` +//! Two layout variants: +//! - **Half-split (MSB)**: pairs `data[k]` with `data[k + L/2]`. This is +//! the layout used by the public sumcheck entry points and by WHIR. +//! - **Pair-split (LSB)**: pairs `data[2k]` with `data[2k+1]`. Used by the +//! legacy `Prover` trait and `coefficient_sumcheck`. //! -//! This is the base-field reduce used when base = extension (EXT_DEGREE = 1). +//! The MSB kernel (`reduce_msb_in_place`) uses plain contiguous `F::load` +//! from each half — simpler and faster than the LSB `load_deinterleaved`. use crate::simd_fields::SimdBaseField; +// ═══════════════════════════════════════════════════════════════════════════ +// Half-split (MSB) reduce +// ═══════════════════════════════════════════════════════════════════════════ + +/// SIMD-vectorized MSB (half-split) reduce, in-place. +/// +/// `new[k] = src[k] + challenge * (src[k + half] − src[k])` for `k` in +/// `0..half`, where `half = next_power_of_two(n) / 2`. Elements in the low +/// half beyond `n − half` (the "tail") have no partner in the high half and +/// are folded as `src[k] * (1 − challenge)`. +/// +/// Returns the output length `half`. +pub fn reduce_msb_in_place(src: &mut [F::Scalar], challenge: F::Scalar) -> usize { + let n = src.len(); + if n <= 1 { + return n; + } + + let half = n.next_power_of_two() >> 1; + let paired = n - half; // elements that have a partner in the high half + let lanes = F::LANES; + let challenge_v = F::splat(challenge); + + // ── SIMD main loop over paired portion ── + let step = 4 * lanes; + let aligned = (paired / step) * step; + + let lo_ptr = src.as_ptr(); + let hi_ptr = unsafe { src.as_ptr().add(half) }; + let out_ptr = src.as_mut_ptr(); + + let mut i = 0; + while i < aligned { + unsafe { + for g in 0..4 { + let off = i + g * lanes; + let a = F::load(lo_ptr.add(off)); + let b = F::load(hi_ptr.add(off)); + let r = F::add(a, F::mul(challenge_v, F::sub(b, a))); + F::store(out_ptr.add(off), r); + } + } + i += step; + } + + // ── Scalar tail of paired portion ── + while i < paired { + let a = src[i]; + let b = src[i + half]; + src[i] = F::scalar_add(a, F::scalar_mul(challenge, F::scalar_sub(b, a))); + i += 1; + } + + // ── Unpaired tail: data[k] *= (1 − challenge) for k in paired..half ── + let one_minus = F::scalar_sub(F::ONE, challenge); + for v in src.iter_mut().take(half).skip(paired) { + *v = F::scalar_mul(*v, one_minus); + } + + half +} + +// ═══════════════════════════════════════════════════════════════════════════ +// Pair-split (LSB) reduce — legacy, used by coefficient_sumcheck +// ═══════════════════════════════════════════════════════════════════════════ + /// SIMD-vectorized pairwise reduce, producing a new Vec. /// /// Uses 4× loop unrolling for instruction-level parallelism. From 4df09fca7b0699142071134f851865efb1479e95 Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Fri, 17 Apr 2026 23:31:33 +0200 Subject: [PATCH 50/52] fix ci --- examples/sumcheck_micro.rs | 4 ++-- tests/inner_product_sumcheck.rs | 31 +++++++++++++------------------ tests/multilinear_sumcheck.rs | 32 ++++++++++++-------------------- 3 files changed, 27 insertions(+), 40 deletions(-) diff --git a/examples/sumcheck_micro.rs b/examples/sumcheck_micro.rs index 4d962a29..fa788012 100644 --- a/examples/sumcheck_micro.rs +++ b/examples/sumcheck_micro.rs @@ -34,7 +34,7 @@ fn time_ml(v: &[F]) -> f64 { let mut trng = StdRng::seed_from_u64(SEED); let mut t = SanityTranscript::new(&mut trng); let start = Instant::now(); - let _ = multilinear_sumcheck(&mut v, &mut t); + let _ = multilinear_sumcheck(&mut v, &mut t, |_, _| {}); start.elapsed().as_secs_f64() } @@ -44,7 +44,7 @@ fn time_ip(a: &[F], b: &[F]) -> f64 { let mut trng = StdRng::seed_from_u64(SEED); let mut t = SanityTranscript::new(&mut trng); let start = Instant::now(); - let _ = inner_product_sumcheck(&mut f, &mut g, &mut t); + let _ = inner_product_sumcheck(&mut f, &mut g, &mut t, |_, _| {}); start.elapsed().as_secs_f64() } diff --git a/tests/inner_product_sumcheck.rs b/tests/inner_product_sumcheck.rs index fffd4a27..d26d8e9e 100644 --- a/tests/inner_product_sumcheck.rs +++ b/tests/inner_product_sumcheck.rs @@ -5,10 +5,7 @@ use ark_std::rand::{rngs::StdRng, SeedableRng}; use efficient_sumcheck::tests::F64; use efficient_sumcheck::transcript::{SanityTranscript, Transcript}; -use efficient_sumcheck::{ - inner_product_sumcheck, inner_product_sumcheck_partial_with_hook, - inner_product_sumcheck_with_hook, ProductSumcheck, -}; +use efficient_sumcheck::{inner_product_sumcheck, inner_product_sumcheck_partial, ProductSumcheck}; const SEED: u64 = 0xA110C8ED; @@ -46,7 +43,8 @@ fn test_power_of_two_roundtrip() { let mut a = a_orig.clone(); let mut b = b_orig.clone(); let mut t_prove = SanityTranscript::new(&mut prover_rng); - let result: ProductSumcheck = inner_product_sumcheck(&mut a, &mut b, &mut t_prove); + let result: ProductSumcheck = + inner_product_sumcheck(&mut a, &mut b, &mut t_prove, |_, _| {}); assert_eq!(a.len(), 1); assert_eq!(b.len(), 1); @@ -73,8 +71,7 @@ fn test_non_power_of_two_partial_runs() { let mut a = a_orig.clone(); let mut b = b_orig.clone(); let mut t = SanityTranscript::new(&mut prover_rng); - let result = - inner_product_sumcheck_partial_with_hook(&mut a, &mut b, &mut t, num_rounds, |_, _| {}); + let result = inner_product_sumcheck_partial(&mut a, &mut b, &mut t, num_rounds, |_, _| {}); assert_eq!(result.prover_messages.len(), num_rounds); assert_eq!(result.verifier_messages.len(), num_rounds); assert_eq!(a.len(), 1); @@ -95,15 +92,14 @@ fn test_partial_split_matches_full() { let mut b_full = b_orig.clone(); let mut full_rng = rng(); let mut t_full = SanityTranscript::new(&mut full_rng); - let full = inner_product_sumcheck(&mut a_full, &mut b_full, &mut t_full); + let full = inner_product_sumcheck(&mut a_full, &mut b_full, &mut t_full, |_, _| {}); let mut a = a_orig.clone(); let mut b = b_orig.clone(); let mut split_rng = rng(); let mut t_split = SanityTranscript::new(&mut split_rng); - let first = - inner_product_sumcheck_partial_with_hook(&mut a, &mut b, &mut t_split, split_at, |_, _| {}); - let second = inner_product_sumcheck_partial_with_hook( + let first = inner_product_sumcheck_partial(&mut a, &mut b, &mut t_split, split_at, |_, _| {}); + let second = inner_product_sumcheck_partial( &mut a, &mut b, &mut t_split, @@ -136,7 +132,7 @@ fn test_hook_called_once_per_round() { let mut t = SanityTranscript::new(&mut trng); let calls = RefCell::new(Vec::::new()); - let result = inner_product_sumcheck_with_hook(&mut a, &mut b, &mut t, |round, _| { + let result = inner_product_sumcheck(&mut a, &mut b, &mut t, |round, _| { calls.borrow_mut().push(round); }); assert_eq!(result.prover_messages.len(), num_vars); @@ -153,7 +149,7 @@ fn test_zero_rounds_is_identity() { let mut trng = rng(); let mut t = SanityTranscript::new(&mut trng); - let result = inner_product_sumcheck_partial_with_hook(&mut a, &mut b, &mut t, 0, |_, _| {}); + let result = inner_product_sumcheck_partial(&mut a, &mut b, &mut t, 0, |_, _| {}); assert!(result.prover_messages.is_empty()); assert!(result.verifier_messages.is_empty()); assert_eq!(a, a_orig); @@ -174,8 +170,7 @@ fn test_prover_msg_is_difference_form() { let mut b_mut = b.clone(); let mut trng = rng(); let mut t = SanityTranscript::new(&mut trng); - let result = - inner_product_sumcheck_partial_with_hook(&mut a_mut, &mut b_mut, &mut t, 1, |_, _| {}); + let result = inner_product_sumcheck_partial(&mut a_mut, &mut b_mut, &mut t, 1, |_, _| {}); let (c0, c2) = result.prover_messages[0]; let half = n / 2; @@ -202,7 +197,7 @@ fn test_deterministic_under_same_seed() { let mut b = b_orig.clone(); let mut trng = rng(); let mut t = SanityTranscript::new(&mut trng); - inner_product_sumcheck(&mut a, &mut b, &mut t) + inner_product_sumcheck(&mut a, &mut b, &mut t, |_, _| {}) }; let r1 = run(); let r2 = run(); @@ -314,7 +309,7 @@ fn test_fused_matches_unfused_reference_pow2() { let mut b = b_orig.clone(); let mut trng = rng(); let mut t = SanityTranscript::new(&mut trng); - let fused = inner_product_sumcheck(&mut a, &mut b, &mut t); + let fused = inner_product_sumcheck(&mut a, &mut b, &mut t, |_, _| {}); assert_eq!(fused.prover_messages, ref_result.prover_messages, "n={n}"); assert_eq!( @@ -341,7 +336,7 @@ fn test_fused_matches_unfused_reference_non_pow2() { let mut b = b_orig.clone(); let mut trng = rng(); let mut t = SanityTranscript::new(&mut trng); - let fused = inner_product_sumcheck(&mut a, &mut b, &mut t); + let fused = inner_product_sumcheck(&mut a, &mut b, &mut t, |_, _| {}); assert_eq!(fused.prover_messages, ref_result.prover_messages, "n={n}"); assert_eq!( diff --git a/tests/multilinear_sumcheck.rs b/tests/multilinear_sumcheck.rs index ae1ee7f0..99d35919 100644 --- a/tests/multilinear_sumcheck.rs +++ b/tests/multilinear_sumcheck.rs @@ -5,10 +5,7 @@ use ark_std::rand::{rngs::StdRng, SeedableRng}; use efficient_sumcheck::tests::F64; use efficient_sumcheck::transcript::{SanityTranscript, Transcript}; -use efficient_sumcheck::{ - multilinear_sumcheck, multilinear_sumcheck_partial_with_hook, multilinear_sumcheck_with_hook, - Sumcheck, -}; +use efficient_sumcheck::{multilinear_sumcheck, multilinear_sumcheck_partial, Sumcheck}; const SEED: u64 = 0xA110C8ED; @@ -42,7 +39,7 @@ fn test_power_of_two_roundtrip() { let mut prover_rng = rng(); let mut v = v_orig.clone(); let mut t_prove = SanityTranscript::new(&mut prover_rng); - let result: Sumcheck = multilinear_sumcheck(&mut v, &mut t_prove); + let result: Sumcheck = multilinear_sumcheck(&mut v, &mut t_prove, |_, _| {}); assert_eq!(v.len(), 1); assert_eq!(result.prover_messages.len(), num_vars); @@ -70,7 +67,7 @@ fn test_non_power_of_two_partial_runs() { let mut prover_rng = rng(); let mut v = v_orig.clone(); let mut t = SanityTranscript::new(&mut prover_rng); - let result = multilinear_sumcheck_partial_with_hook(&mut v, &mut t, num_rounds, |_, _| {}); + let result = multilinear_sumcheck_partial(&mut v, &mut t, num_rounds, |_, _| {}); assert_eq!(result.prover_messages.len(), num_rounds); assert_eq!(result.verifier_messages.len(), num_rounds); assert_eq!(v.len(), 1); @@ -88,18 +85,13 @@ fn test_partial_split_matches_full() { let mut v_full = v_orig.clone(); let mut full_rng = rng(); let mut t_full = SanityTranscript::new(&mut full_rng); - let full = multilinear_sumcheck(&mut v_full, &mut t_full); + let full = multilinear_sumcheck(&mut v_full, &mut t_full, |_, _| {}); let mut v = v_orig.clone(); let mut split_rng = rng(); let mut t_split = SanityTranscript::new(&mut split_rng); - let first = multilinear_sumcheck_partial_with_hook(&mut v, &mut t_split, split_at, |_, _| {}); - let second = multilinear_sumcheck_partial_with_hook( - &mut v, - &mut t_split, - num_vars - split_at, - |_, _| {}, - ); + let first = multilinear_sumcheck_partial(&mut v, &mut t_split, split_at, |_, _| {}); + let second = multilinear_sumcheck_partial(&mut v, &mut t_split, num_vars - split_at, |_, _| {}); let mut split_prover = first.prover_messages.clone(); split_prover.extend(second.prover_messages.iter().copied()); @@ -124,7 +116,7 @@ fn test_hook_called_once_per_round() { let mut t = SanityTranscript::new(&mut trng); let calls = RefCell::new(Vec::::new()); - let result = multilinear_sumcheck_with_hook(&mut v, &mut t, |round, _| { + let result = multilinear_sumcheck(&mut v, &mut t, |round, _| { calls.borrow_mut().push(round); }); assert_eq!(result.prover_messages.len(), num_vars); @@ -139,7 +131,7 @@ fn test_zero_rounds_is_identity() { let mut trng = rng(); let mut t = SanityTranscript::new(&mut trng); - let result = multilinear_sumcheck_partial_with_hook(&mut v, &mut t, 0, |_, _| {}); + let result = multilinear_sumcheck_partial(&mut v, &mut t, 0, |_, _| {}); assert!(result.prover_messages.is_empty()); assert!(result.verifier_messages.is_empty()); assert_eq!(v, v_orig); @@ -154,7 +146,7 @@ fn test_round0_msg_is_half_sums() { let mut v_mut = v.clone(); let mut trng = rng(); let mut t = SanityTranscript::new(&mut trng); - let result = multilinear_sumcheck_partial_with_hook(&mut v_mut, &mut t, 1, |_, _| {}); + let result = multilinear_sumcheck_partial(&mut v_mut, &mut t, 1, |_, _| {}); let (s0, s1) = result.prover_messages[0]; let half = n / 2; @@ -174,7 +166,7 @@ fn test_deterministic_under_same_seed() { let mut v = v_orig.clone(); let mut trng = rng(); let mut t = SanityTranscript::new(&mut trng); - multilinear_sumcheck(&mut v, &mut t) + multilinear_sumcheck(&mut v, &mut t, |_, _| {}) }; let r1 = run(); let r2 = run(); @@ -270,7 +262,7 @@ fn test_fused_matches_unfused_reference_pow2() { let mut v = v_orig.clone(); let mut trng = rng(); let mut t = SanityTranscript::new(&mut trng); - let fused = multilinear_sumcheck(&mut v, &mut t); + let fused = multilinear_sumcheck(&mut v, &mut t, |_, _| {}); assert_eq!(fused.prover_messages, ref_result.prover_messages, "n={n}"); assert_eq!( @@ -292,7 +284,7 @@ fn test_fused_matches_unfused_reference_non_pow2() { let mut v = v_orig.clone(); let mut trng = rng(); let mut t = SanityTranscript::new(&mut trng); - let fused = multilinear_sumcheck(&mut v, &mut t); + let fused = multilinear_sumcheck(&mut v, &mut t, |_, _| {}); assert_eq!(fused.prover_messages, ref_result.prover_messages, "n={n}"); assert_eq!( From e4acb388d30e8fae675122243f6c42bcbf6f4ca1 Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Fri, 17 Apr 2026 23:40:55 +0200 Subject: [PATCH 51/52] cleanup --- src/lib.rs | 33 ++- src/multilinear_sumcheck.rs | 16 +- src/simd_fields/goldilocks/avx512.rs | 1 + src/simd_fields/goldilocks/mod.rs | 1 + src/simd_fields/goldilocks/neon.rs | 1 + src/simd_fields/mod.rs | 1 + src/simd_ops.rs | 298 --------------------------- src/simd_sumcheck/dispatch.rs | 1 + src/simd_sumcheck/evaluate.rs | 1 + src/simd_sumcheck/reduce.rs | 1 + 10 files changed, 36 insertions(+), 318 deletions(-) delete mode 100644 src/simd_ops.rs diff --git a/src/lib.rs b/src/lib.rs index edf84e13..5ec4804d 100644 --- a/src/lib.rs +++ b/src/lib.rs @@ -4,32 +4,25 @@ //! //! ## Quick Start //! -//! Two primary entry points, both operating on evaluation vectors over the -//! boolean hypercube with a half-split (MSB) layout and a fused -//! fold+compute kernel: -//! //! ```text -//! use efficient_sumcheck::{multilinear_sumcheck, inner_product_sumcheck}; +//! use efficient_sumcheck::{multilinear_sumcheck, inner_product_sumcheck, fold}; //! use efficient_sumcheck::transcript::{Transcript, SpongefishTranscript, SanityTranscript}; //! ``` //! //! - [`multilinear_sumcheck()`] — `∑_x v(x)` over a multilinear polynomial. //! - [`inner_product_sumcheck()`] — `∑_x f(x)·g(x)` for two multilinears. -//! -//! Both accept any [`Transcript`] implementation — either -//! [`SpongefishTranscript`](transcript::SpongefishTranscript) for real -//! Fiat-Shamir, or [`SanityTranscript`](transcript::SanityTranscript) for -//! testing with seeded random challenges. +//! - [`fold()`] — MSB half-split fold, SIMD-accelerated for Goldilocks. //! //! Every entry point takes a per-round `hook: FnMut(round, &mut transcript)` //! argument. Pass `|_, _| {}` when no hook is needed. //! -//! ## Layout note +//! ## Layout //! -//! The half-split (MSB) layout folds the top-most remaining variable each -//! round — round 0 splits `v[0..L/2]` vs `v[L/2..L]`. This differs from the -//! pair-split (LSB) layout used in earlier versions of this crate; callers -//! migrating from the old interface must reorder inputs by bit-reversal. +//! All operations use a half-split (MSB) layout: round `i` folds the +//! top-most remaining variable, splitting `v[0..L/2]` vs `v[L/2..L]`. +//! SIMD acceleration for Goldilocks (p = 2^64 − 2^32 + 1) is transparent — +//! no code changes needed. LLVM constant-folds the field detection at compile +//! time, so the non-SIMD path has zero overhead. // ─── Primary API ───────────────────────────────────────────────────────────── @@ -44,7 +37,8 @@ pub use inner_product_sumcheck::{ ProductSumcheck, }; pub use multilinear_sumcheck::{ - multilinear_sumcheck, multilinear_sumcheck_partial, multilinear_sumcheck_verify, Sumcheck, + compute_sumcheck_polynomial, fold, fused_fold_and_compute_polynomial, multilinear_sumcheck, + multilinear_sumcheck_partial, multilinear_sumcheck_verify, Sumcheck, }; // ─── Internal / Advanced ───────────────────────────────────────────────────── @@ -63,9 +57,10 @@ pub mod coefficient_sumcheck; pub mod folding; pub mod poly_ops; -pub mod simd_fields; -pub mod simd_ops; -pub mod simd_sumcheck; +// SIMD internals — not part of the public API. SIMD dispatch is transparent +// through `fold`, `multilinear_sumcheck`, `inner_product_sumcheck`, etc. +pub(crate) mod simd_fields; +pub(crate) mod simd_sumcheck; #[doc(hidden)] pub mod tests; diff --git a/src/multilinear_sumcheck.rs b/src/multilinear_sumcheck.rs index d0aa106d..535940c5 100644 --- a/src/multilinear_sumcheck.rs +++ b/src/multilinear_sumcheck.rs @@ -115,10 +115,24 @@ pub fn compute_sumcheck_polynomial(values: &[F]) -> (F, F) { (s0 + tail, s1) } -/// In-place half-split fold: `new[k] = v[k] + (v[k+L/2] − v[k]) · weight`. +/// In-place half-split (MSB) fold: `new[k] = v[k] + (v[k+L/2] − v[k]) · weight`. /// /// Implicit zero padding on the high half collapses the tail to `v[k] * (1 − w)`. +/// +/// SIMD-accelerated for Goldilocks base field on NEON and AVX-512 IFMA. +/// Falls back to a scalar recursive `rayon::join` fold for other fields. pub fn fold(values: &mut Vec, weight: F) { + // SIMD fast path for base-field Goldilocks (MSB layout). + #[cfg(any( + target_arch = "aarch64", + all(target_arch = "x86_64", target_feature = "avx512ifma") + ))] + { + if crate::simd_sumcheck::dispatch::try_simd_reduce_msb(values, weight) { + values.shrink_to_fit(); + return; + } + } fn recurse_both(low: &mut [F], high: &[F], weight: F) { #[cfg(feature = "parallel")] if low.len() > workload_size::() { diff --git a/src/simd_fields/goldilocks/avx512.rs b/src/simd_fields/goldilocks/avx512.rs index b9a7faca..a68c9712 100644 --- a/src/simd_fields/goldilocks/avx512.rs +++ b/src/simd_fields/goldilocks/avx512.rs @@ -1,3 +1,4 @@ +#![allow(dead_code)] //! Montgomery-form Goldilocks AVX-512 IFMA backend. //! //! Operates directly on Montgomery-form values (as stored by arkworks `Fp64`), diff --git a/src/simd_fields/goldilocks/mod.rs b/src/simd_fields/goldilocks/mod.rs index aaf7272a..430c5d3d 100644 --- a/src/simd_fields/goldilocks/mod.rs +++ b/src/simd_fields/goldilocks/mod.rs @@ -11,6 +11,7 @@ pub mod avx512; /// Operates on Montgomery-form values as stored by arkworks (`SmallFp.value` /// or `Fp64.0.0[0]`) — zero-cost transmute from `&[Field]` to `&[u64]`. #[cfg(target_arch = "aarch64")] +#[allow(unused_imports)] pub use neon::GoldilocksNeon; /// Goldilocks AVX-512 IFMA backend (x86_64). diff --git a/src/simd_fields/goldilocks/neon.rs b/src/simd_fields/goldilocks/neon.rs index c391ef95..3416a728 100644 --- a/src/simd_fields/goldilocks/neon.rs +++ b/src/simd_fields/goldilocks/neon.rs @@ -1,3 +1,4 @@ +#![allow(dead_code)] //! Montgomery-form Goldilocks NEON backend. //! //! Operates directly on Montgomery-form values (as stored by arkworks `Fp64`), diff --git a/src/simd_fields/mod.rs b/src/simd_fields/mod.rs index db04dbdf..a05374c9 100644 --- a/src/simd_fields/mod.rs +++ b/src/simd_fields/mod.rs @@ -1,3 +1,4 @@ +#![allow(dead_code)] //! SIMD-vectorized field arithmetic using native intrinsics. //! //! Each base field provides platform-specific implementations of add, sub, mul diff --git a/src/simd_ops.rs b/src/simd_ops.rs deleted file mode 100644 index 785bdcab..00000000 --- a/src/simd_ops.rs +++ /dev/null @@ -1,298 +0,0 @@ -//! SIMD-accelerated field operations. -//! -//! General-purpose primitives that auto-dispatch to SIMD backends for -//! Goldilocks-based fields (base field, degree-2 and degree-3 extensions). -//! Falls back to generic arkworks `Field` operations for other fields. -//! -//! These are not sumcheck-specific — any protocol that does pairwise folding, -//! dot products, or multi-scalar operations can use them. -//! -//! # Example -//! -//! ```text -//! use efficient_sumcheck::simd_ops; -//! -//! let mut evals: Vec = /* ... */; -//! let (s0, s1) = simd_ops::pairwise_sum(&evals); -//! simd_ops::fold(&mut evals, challenge); -//! let dot = simd_ops::inner_product(&f, &g); -//! ``` - -use ark_ff::Field; - -// ─── Pairwise sum ─────────────────────────────────────────────────────────── - -/// Sum even-indexed and odd-indexed elements. -/// -/// Returns `(Σ data[2i], Σ data[2i+1])` for `i = 0..data.len()/2`. -/// -/// SIMD-accelerated for Goldilocks base and extension fields. -pub fn pairwise_sum(data: &[F]) -> (F, F) { - #[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") - ))] - if let Some(result) = crate::simd_sumcheck::dispatch::try_simd_ext_evaluate(data) { - return result; - } - - // Generic fallback - let mut even = F::ZERO; - let mut odd = F::ZERO; - for i in (0..data.len()).step_by(2) { - even += data[i]; - if i + 1 < data.len() { - odd += data[i + 1]; - } - } - (even, odd) -} - -// ─── Fold ─────────────────────────────────────────────────────────────────── - -/// Half-split (MSB) fold: -/// `data[k] = data[k] + challenge * (data[k + L/2] − data[k])` for `k` in `0..L/2`. -/// -/// Implicit zero padding: elements in the low half beyond `len − L/2` have -/// no partner and are folded as `data[k] * (1 − challenge)`. After the fold, -/// `data` is truncated to `L/2` (the next power of two ÷ 2). -/// -/// SIMD-accelerated for Goldilocks base field. Falls back to a scalar -/// recursive rayon::join fold for other fields and extension fields. -pub fn fold(data: &mut Vec, challenge: F) { - // SIMD fast path for base-field Goldilocks (MSB layout). - #[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") - ))] - { - if crate::simd_sumcheck::dispatch::try_simd_reduce_msb(data, challenge) { - data.shrink_to_fit(); - return; - } - } - - // Generic scalar MSB fold with rayon parallelism. - crate::multilinear_sumcheck::fold(data, challenge); -} - -// ─── Product evaluate ─────────────────────────────────────────────────────── - -/// Pairwise product sum: computes coefficients `(a, b)` of the degree-2 -/// round polynomial from two evaluation vectors. -/// -/// - `a = Σ f[2i] * g[2i]` (even-even products) -/// - `b = Σ (f[2i] * g[2i+1] + f[2i+1] * g[2i])` (cross-term) -/// -/// SIMD-accelerated for Goldilocks base field. -pub fn pairwise_product_sum(f: &[F], g: &[F]) -> (F, F) { - debug_assert_eq!(f.len(), g.len()); - - #[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") - ))] - if let Some(result) = try_simd_product_sum(f, g) { - return result; - } - - // Generic fallback - crate::multilinear_product::provers::time::reductions::pairwise::pairwise_product_evaluate_slices(f, g) -} - -#[cfg(any( - target_arch = "aarch64", - all(target_arch = "x86_64", target_feature = "avx512ifma") -))] -fn try_simd_product_sum(f: &[F], g: &[F]) -> Option<(F, F)> { - use crate::simd_sumcheck::dispatch::is_goldilocks_pub; - - #[cfg(target_arch = "aarch64")] - type Backend = crate::simd_fields::goldilocks::neon::GoldilocksNeon; - #[cfg(all(target_arch = "x86_64", target_feature = "avx512ifma"))] - type Backend = crate::simd_fields::goldilocks::avx512::GoldilocksAvx512; - - if is_goldilocks_pub::() { - let f_raw: &[u64] = - unsafe { core::slice::from_raw_parts(f.as_ptr() as *const u64, f.len()) }; - let g_raw: &[u64] = - unsafe { core::slice::from_raw_parts(g.as_ptr() as *const u64, g.len()) }; - let (a, b) = - crate::simd_sumcheck::evaluate::product_evaluate_parallel::(f_raw, g_raw); - - use crate::simd_sumcheck::dispatch::u64_to_field_pub; - return Some((u64_to_field_pub(a), u64_to_field_pub(b))); - } - - None -} - -// ─── Inner product ────────────────────────────────────────────────────────── - -/// Dot product: `Σ f[i] * g[i]`. -/// -/// SIMD-accelerated for Goldilocks base field. -pub fn inner_product(f: &[F], g: &[F]) -> F { - debug_assert_eq!(f.len(), g.len()); - f.iter().zip(g.iter()).map(|(a, b)| *a * *b).sum() - // Note: SIMD inner product would require extension multiply for ext fields. - // For base field, the generic .sum() with rayon is already fast. - // Future: add SIMD dispatch here. -} - -// ─── Cross-field reduce ───────────────────────────────────────────────────── - -/// Fold base-field evaluations with an extension-field challenge. -/// -/// Each pair `(a, b)` in `data` (base field) is folded to -/// `EF::from(a) + challenge * (EF::from(b) - EF::from(a))` in the extension field. -/// -/// Returns a new `Vec`. -pub fn cross_field_fold>(data: &[BF], challenge: EF) -> Vec { - crate::multilinear::reductions::pairwise::cross_field_reduce(data, challenge) -} - -#[cfg(test)] -mod tests { - use super::*; - use crate::tests::{F64Ext2, F64Ext3, F64}; - use ark_ff::UniformRand; - use ark_std::test_rng; - - #[test] - fn test_pairwise_sum_base() { - let mut rng = test_rng(); - let n = 1 << 10; - let data: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - - let (even, odd) = pairwise_sum(&data); - - let expected_even: F64 = data.iter().step_by(2).copied().sum(); - let expected_odd: F64 = data.iter().skip(1).step_by(2).copied().sum(); - - assert_eq!(even, expected_even); - assert_eq!(odd, expected_odd); - } - - #[test] - fn test_pairwise_sum_ext2() { - let mut rng = test_rng(); - let n = 1 << 8; - let data: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); - - let (even, odd) = pairwise_sum(&data); - - let expected_even: F64Ext2 = data.iter().step_by(2).copied().sum(); - let expected_odd: F64Ext2 = data.iter().skip(1).step_by(2).copied().sum(); - - assert_eq!(even, expected_even); - assert_eq!(odd, expected_odd); - } - - #[test] - fn test_pairwise_sum_ext3() { - let mut rng = test_rng(); - let n = 1 << 8; - let data: Vec = (0..n).map(|_| F64Ext3::rand(&mut rng)).collect(); - - let (even, odd) = pairwise_sum(&data); - - let expected_even: F64Ext3 = data.iter().step_by(2).copied().sum(); - let expected_odd: F64Ext3 = data.iter().skip(1).step_by(2).copied().sum(); - - assert_eq!(even, expected_even); - assert_eq!(odd, expected_odd); - } - - #[test] - fn test_fold_base() { - let mut rng = test_rng(); - let n = 1 << 10; - let data: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - let challenge = F64::rand(&mut rng); - - // Reference: MSB (half-split) fold — pair data[k] with data[k + half]. - let half = n / 2; - let expected: Vec = (0..half) - .map(|k| data[k] + challenge * (data[k + half] - data[k])) - .collect(); - - let mut result = data; - fold(&mut result, challenge); - - assert_eq!(result, expected); - } - - #[test] - fn test_fold_ext2() { - let mut rng = test_rng(); - let n = 1 << 8; - let data: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); - let challenge = F64Ext2::rand(&mut rng); - - let half = n / 2; - let expected: Vec = (0..half) - .map(|k| data[k] + challenge * (data[k + half] - data[k])) - .collect(); - - let mut result = data; - fold(&mut result, challenge); - - assert_eq!(result, expected); - } - - #[test] - fn test_pairwise_product_sum_base() { - let mut rng = test_rng(); - let n = 1 << 10; - let f: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - let g: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - - let (a, b) = pairwise_product_sum(&f, &g); - - // Reference - let expected_a: F64 = (0..n / 2).map(|k| f[2 * k] * g[2 * k]).sum(); - let expected_b: F64 = (0..n / 2) - .map(|k| f[2 * k] * g[2 * k + 1] + f[2 * k + 1] * g[2 * k]) - .sum(); - - assert_eq!(a, expected_a); - assert_eq!(b, expected_b); - } - - #[test] - fn test_pairwise_product_sum_ext2() { - let mut rng = test_rng(); - let n = 1 << 10; - let f: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); - let g: Vec = (0..n).map(|_| F64Ext2::rand(&mut rng)).collect(); - - let (a, b) = pairwise_product_sum(&f, &g); - - let expected_a: F64Ext2 = (0..n / 2).map(|k| f[2 * k] * g[2 * k]).sum(); - let expected_b: F64Ext2 = (0..n / 2) - .map(|k| f[2 * k] * g[2 * k + 1] + f[2 * k + 1] * g[2 * k]) - .sum(); - - assert_eq!(a, expected_a); - assert_eq!(b, expected_b); - } - - #[test] - fn test_pairwise_product_sum_ext3() { - let mut rng = test_rng(); - let n = 1 << 10; - let f: Vec = (0..n).map(|_| F64Ext3::rand(&mut rng)).collect(); - let g: Vec = (0..n).map(|_| F64Ext3::rand(&mut rng)).collect(); - - let (a, b) = pairwise_product_sum(&f, &g); - - let expected_a: F64Ext3 = (0..n / 2).map(|k| f[2 * k] * g[2 * k]).sum(); - let expected_b: F64Ext3 = (0..n / 2) - .map(|k| f[2 * k] * g[2 * k + 1] + f[2 * k + 1] * g[2 * k]) - .sum(); - - assert_eq!(a, expected_a); - assert_eq!(b, expected_b); - } -} diff --git a/src/simd_sumcheck/dispatch.rs b/src/simd_sumcheck/dispatch.rs index 05a1eb8a..9fa3017d 100644 --- a/src/simd_sumcheck/dispatch.rs +++ b/src/simd_sumcheck/dispatch.rs @@ -1,3 +1,4 @@ +#![allow(dead_code)] //! SIMD auto-dispatch for the multilinear sumcheck protocol. //! //! When `BF == EF` and both are a Goldilocks field (p = 2^64 − 2^32 + 1) diff --git a/src/simd_sumcheck/evaluate.rs b/src/simd_sumcheck/evaluate.rs index 3e9810d3..a776c6fd 100644 --- a/src/simd_sumcheck/evaluate.rs +++ b/src/simd_sumcheck/evaluate.rs @@ -1,3 +1,4 @@ +#![allow(dead_code)] //! SIMD-vectorized pairwise evaluation: computes (sum_even, sum_odd). //! //! Uses an 8-accumulator unroll for instruction-level parallelism, diff --git a/src/simd_sumcheck/reduce.rs b/src/simd_sumcheck/reduce.rs index 45a13323..5e98bb27 100644 --- a/src/simd_sumcheck/reduce.rs +++ b/src/simd_sumcheck/reduce.rs @@ -1,3 +1,4 @@ +#![allow(dead_code)] //! SIMD-vectorized reduce kernels: fold evaluations with a challenge. //! //! Two layout variants: From 82e99119f0c4daf62b975b8d9a7de1da29127d48 Mon Sep 17 00:00:00 2001 From: Andrew Z <1497456+z-tech@users.noreply.github.com> Date: Sat, 18 Apr 2026 00:32:39 +0200 Subject: [PATCH 52/52] update patch --- Cargo.toml | 7 ++++--- src/coefficient_sumcheck.rs | 3 ++- 2 files changed, 6 insertions(+), 4 deletions(-) diff --git a/Cargo.toml b/Cargo.toml index 6d0cdca8..4ca2d720 100644 --- a/Cargo.toml +++ b/Cargo.toml @@ -40,6 +40,7 @@ path = "benches/simd_vs_generic.rs" harness = false [patch.crates-io] -ark-ff = { git = "https://github.com/arkworks-rs/algebra.git", rev = "285dac2" } -ark-poly = { git = "https://github.com/arkworks-rs/algebra.git", rev = "285dac2" } -ark-serialize = { git = "https://github.com/arkworks-rs/algebra.git", rev = "285dac2" } +ark-ff = { git = "https://github.com/arkworks-rs/algebra.git", branch = "master" } +ark-poly = { git = "https://github.com/arkworks-rs/algebra.git", branch = "master" } +ark-serialize = { git = "https://github.com/arkworks-rs/algebra.git", branch = "master" } +spongefish = { git = "https://github.com/z-tech/spongefish.git", branch = "smallfp-support" } diff --git a/src/coefficient_sumcheck.rs b/src/coefficient_sumcheck.rs index a64f8e85..ed521925 100644 --- a/src/coefficient_sumcheck.rs +++ b/src/coefficient_sumcheck.rs @@ -497,7 +497,8 @@ mod tests { let num_rounds = 3; let evals: Vec = (0..n).map(|_| F64::rand(&mut rng)).collect(); - let domsep = spongefish::domain_separator!("test-coefficient-sumcheck"; module_path!()) + let domsep = spongefish::domain_separator!("test-coefficient-sumcheck") + .without_session() .instance(b"test"); let prover_state = domsep.std_prover();