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https://github.com/NVIDIA/cuda-samples.git
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Update globalToShmemAsyncCopy.cu
Fix two obvious errors, the first one is that five tasks were submitted to pipeline at the same time and task 4 conflicts with task 0, the remaining two are copy errors
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@ -128,7 +128,7 @@ __global__ void MatrixMulAsyncCopyMultiStageLargeChunk(
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a <= aEnd; a += aStep, b += bStep, ++i) {
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a <= aEnd; a += aStep, b += bStep, ++i) {
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// Load the matrices from device memory to shared memory; each thread loads
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// Load the matrices from device memory to shared memory; each thread loads
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// one element of each matrix
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// one element of each matrix
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for (; aStage <= a + aStep * maxPipelineStages;
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for (; aStage < a + aStep * maxPipelineStages;
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aStage += aStep, bStage += bStep, ++iStage) {
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aStage += aStep, bStage += bStep, ++iStage) {
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pipe.producer_acquire();
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pipe.producer_acquire();
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if (aStage <= aEnd && t4x < BLOCK_SIZE) {
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if (aStage <= aEnd && t4x < BLOCK_SIZE) {
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@ -137,7 +137,7 @@ __global__ void MatrixMulAsyncCopyMultiStageLargeChunk(
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cuda::memcpy_async(&As[j][threadIdx.y][t4x],
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cuda::memcpy_async(&As[j][threadIdx.y][t4x],
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&A[aStage + wA * threadIdx.y + t4x], shape4, pipe);
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&A[aStage + wA * threadIdx.y + t4x], shape4, pipe);
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cuda::memcpy_async(&Bs[j][threadIdx.y][t4x],
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cuda::memcpy_async(&Bs[j][threadIdx.y][t4x],
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&B[aStage + wA * threadIdx.y + t4x], shape4, pipe);
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&B[bStage + wB * threadIdx.y + t4x], shape4, pipe);
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}
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}
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pipe.producer_commit();
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pipe.producer_commit();
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}
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}
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@ -222,7 +222,7 @@ __global__ void MatrixMulAsyncCopyLargeChunk(float *__restrict__ C,
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cuda::memcpy_async(&As[threadIdx.y][t4x], &A[a + wA * threadIdx.y + t4x],
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cuda::memcpy_async(&As[threadIdx.y][t4x], &A[a + wA * threadIdx.y + t4x],
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shape4, pipe);
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shape4, pipe);
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cuda::memcpy_async(&Bs[threadIdx.y][t4x], &B[a + wA * threadIdx.y + t4x],
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cuda::memcpy_async(&Bs[threadIdx.y][t4x], &B[b + wB * threadIdx.y + t4x],
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shape4, pipe);
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shape4, pipe);
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pipe.producer_commit();
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pipe.producer_commit();
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