2.9.6-1
Add support for CUDA graphs. Fuse BCM Gen4 switches to avoid suboptimal performance on some platforms. Issue #439. Fix bootstrap issue caused by connection reordering. Fix CPU locking block. Improve CollNet algorithm. Improve performance on DGX A100 for communicators with only one GPU per node.
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@@ -1,5 +1,5 @@
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/*************************************************************************
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* Copyright (c) 2019-2020, NVIDIA CORPORATION. All rights reserved.
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* Copyright (c) 2019-2021, NVIDIA CORPORATION. All rights reserved.
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*
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* See LICENSE.txt for license information
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************************************************************************/
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@@ -38,8 +38,13 @@ static ncclResult_t ncclCalloc(T** ptr, size_t nelem) {
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template <typename T>
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static ncclResult_t ncclCudaCalloc(T** ptr, size_t nelem) {
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// Need async stream for P2P pre-connect + CUDA Graph
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cudaStream_t stream;
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CUDACHECK(cudaStreamCreateWithFlags(&stream, cudaStreamNonBlocking));
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CUDACHECK(cudaMalloc(ptr, nelem*sizeof(T)));
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CUDACHECK(cudaMemset(*ptr, 0, nelem*sizeof(T)));
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CUDACHECK(cudaMemsetAsync(*ptr, 0, nelem*sizeof(T), stream));
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CUDACHECK(cudaStreamSynchronize(stream));
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CUDACHECK(cudaStreamDestroy(stream));
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return ncclSuccess;
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}
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