Refactor(GPU): switch to per-stream synchronization in CUDA and ROCm backend#699
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victorcamaraa wants to merge 4 commits intoJuliaParallel:masterfrom
Closed
Refactor(GPU): switch to per-stream synchronization in CUDA and ROCm backend#699victorcamaraa wants to merge 4 commits intoJuliaParallel:masterfrom
victorcamaraa wants to merge 4 commits intoJuliaParallel:masterfrom
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This PR is the first step toward implementing multi-stream capabilities in Dagger.jl; it implements per-stream synchronization in both the CUDA and ROCm backends.
Changes
ext/CUDAExt.jl:CUDA.synchronize()→CUDA.synchronize(stream())in
_sync_with_contextandgpu_synchronize(proc::CuArrayDeviceProc)ext/ROCExt.jl: same change for the ROCm backendValidated locally on a dual-GPU machine (NVIDIA GTX 1060 6GB + AMD
RX 6650 XT) running Ubuntu 24.04