Merge pull request #2623 from ArmDeveloperEcosystem/main

Production update

Author: jasonrandrews

.wordlist.txt

@@ -5261,4 +5261,31 @@ tcmalloc
 tlsv
 vLLM's
 webp
-HugeTLB
+HugeTLB
+CIS
+CRDs
+ClusterIP
+CoreDNS
+DskipTests
+Gtilab
+KinD
+Kubeconfig
+Kubelet
+Loopback
+NetworkPolicies
+StandaloneSessionClusterEntrypoint
+TaskManagerRunner
+Textfield
+aquasecurity
+dumpsys
+hiredis
+jemalloc
+kubeconfig
+kubelet
+leaderboards
+loopback
+menuconfig
+oss
+saas
+todo
+yq

content/install-guides/windows-perf-wpa-plugin.md

@@ -117,7 +117,7 @@ wpa -addsearchdir %USERPROFILE%\Downloads\wpa-plugin-1.0.3
 
 Set the `WPA_ADDITIONAL_SEARCH_DIRECTORIES` environment variable to the location of the `.dll` file.
 
-##### Option 3: Copy the  `.dll` file to the `CustomDataSources` directory next to the WPA executable.
+##### Option 3: Copy the  DLL to the CustomDataSources directory next to the WPA executable.
 
 The default location is: 
         `C:\\Program Files (x86)\Windows Kits\10\Windows Performance Toolkit\CustomDataSources`

content/learning-paths/cross-platform/adler32/summary-10.md

@@ -47,13 +47,13 @@ The project includes:
 
 ### Implementations
 
-#### 1. Simple Implementation (`adler32-simple.c`)
+#### 1. Simple Implementation
 
-This is a straightforward C implementation following the standard Adler-32 algorithm definition. It processes the input data byte by byte, updating two 16-bit accumulators (`a` and `b`) modulo 65521 (the largest prime smaller than 2^16).
+The code in `adler32-simple.c` is a straightforward C implementation following the standard Adler-32 algorithm definition. It processes the input data byte by byte, updating two 16-bit accumulators (`a` and `b`) modulo 65521 (the largest prime smaller than 2^16).
 
-#### 2. NEON-Optimized Implementation (`adler32-neon.c`)
+#### 2. NEON-Optimized Implementation
 
-This implementation leverages ARM NEON SIMD (Single Instruction, Multiple Data) instructions to accelerate the checksum calculation. Key aspects include:
+The code in `adler32-neon.c` leverages ARM NEON SIMD (Single Instruction, Multiple Data) instructions to accelerate the checksum calculation. Key aspects include:
 *   Processing data in blocks (16 bytes at a time).
 *   Using NEON intrinsics (`vld1q_u8`, `vmovl_u8`, `vaddq_u16`, `vpaddlq_u16`, `vmulq_u16`, etc.) to perform parallel operations on data vectors.
 *   Calculating the sums `S1` (sum of bytes) and `S2` (weighted sum) for each block using vector operations.