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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aioprli 2024-05-06 22:03:16 +08:00 committed by GitHub
parent 5f97d7d0df
commit 6aac4717b8
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@ -128,7 +128,7 @@ __global__ void MatrixMulAsyncCopyMultiStageLargeChunk(
a <= aEnd; a += aStep, b += bStep, ++i) {
// Load the matrices from device memory to shared memory; each thread loads
// one element of each matrix
for (; aStage <= a + aStep * maxPipelineStages;
for (; aStage < a + aStep * maxPipelineStages;
aStage += aStep, bStage += bStep, ++iStage) {
pipe.producer_acquire();
if (aStage <= aEnd && t4x < BLOCK_SIZE) {
@ -137,7 +137,7 @@ __global__ void MatrixMulAsyncCopyMultiStageLargeChunk(
cuda::memcpy_async(&As[j][threadIdx.y][t4x],
&A[aStage + wA * threadIdx.y + t4x], shape4, pipe);
cuda::memcpy_async(&Bs[j][threadIdx.y][t4x],
&B[aStage + wA * threadIdx.y + t4x], shape4, pipe);
&B[bStage + wB * threadIdx.y + t4x], shape4, pipe);
}
pipe.producer_commit();
}
@ -222,7 +222,7 @@ __global__ void MatrixMulAsyncCopyLargeChunk(float *__restrict__ C,
cuda::memcpy_async(&As[threadIdx.y][t4x], &A[a + wA * threadIdx.y + t4x],
shape4, pipe);
cuda::memcpy_async(&Bs[threadIdx.y][t4x], &B[a + wA * threadIdx.y + t4x],
cuda::memcpy_async(&Bs[threadIdx.y][t4x], &B[b + wB * threadIdx.y + t4x],
shape4, pipe);
pipe.producer_commit();