Ubuntu 16.04.5 LTS TESLA V100-SXM2 16GB x4 CUDA 9.0 Samples simpleP2P p2pBandwidthLatencyTest deviceQuery bandwidthTest nvidia-smi nvlink -cを動作させてみた

(tensor) user0018@10-111-146-12:~/cuda-samples-9.0/samples/0_Simple/simpleP2P$ ./simpleP2P
[./simpleP2P] – Starting…
Checking for multiple GPUs…
CUDA-capable device count: 4
> GPU0 = “Tesla V100-SXM2-16GB” IS capable of Peer-to-Peer (P2P)
> GPU1 = “Tesla V100-SXM2-16GB” IS capable of Peer-to-Peer (P2P)
> GPU2 = “Tesla V100-SXM2-16GB” IS capable of Peer-to-Peer (P2P)
> GPU3 = “Tesla V100-SXM2-16GB” IS capable of Peer-to-Peer (P2P)

Checking GPU(s) for support of peer to peer memory access…
> Peer access from Tesla V100-SXM2-16GB (GPU0) -> Tesla V100-SXM2-16GB (GPU1) : Yes
> Peer access from Tesla V100-SXM2-16GB (GPU0) -> Tesla V100-SXM2-16GB (GPU2) : Yes
> Peer access from Tesla V100-SXM2-16GB (GPU0) -> Tesla V100-SXM2-16GB (GPU3) : Yes
> Peer access from Tesla V100-SXM2-16GB (GPU1) -> Tesla V100-SXM2-16GB (GPU0) : Yes
> Peer access from Tesla V100-SXM2-16GB (GPU1) -> Tesla V100-SXM2-16GB (GPU2) : Yes
> Peer access from Tesla V100-SXM2-16GB (GPU1) -> Tesla V100-SXM2-16GB (GPU3) : Yes
> Peer access from Tesla V100-SXM2-16GB (GPU2) -> Tesla V100-SXM2-16GB (GPU0) : Yes
> Peer access from Tesla V100-SXM2-16GB (GPU2) -> Tesla V100-SXM2-16GB (GPU1) : Yes
> Peer access from Tesla V100-SXM2-16GB (GPU2) -> Tesla V100-SXM2-16GB (GPU3) : Yes
> Peer access from Tesla V100-SXM2-16GB (GPU3) -> Tesla V100-SXM2-16GB (GPU0) : Yes
> Peer access from Tesla V100-SXM2-16GB (GPU3) -> Tesla V100-SXM2-16GB (GPU1) : Yes
> Peer access from Tesla V100-SXM2-16GB (GPU3) -> Tesla V100-SXM2-16GB (GPU2) : Yes
Enabling peer access between GPU0 and GPU1…
Checking GPU0 and GPU1 for UVA capabilities…
> Tesla V100-SXM2-16GB (GPU0) supports UVA: Yes
> Tesla V100-SXM2-16GB (GPU1) supports UVA: Yes
Both GPUs can support UVA, enabling…
Allocating buffers (64MB on GPU0, GPU1 and CPU Host)…
Creating event handles…
cudaMemcpyPeer / cudaMemcpy between GPU0 and GPU1: 44.83GB/s
Preparing host buffer and memcpy to GPU0…
Run kernel on GPU1, taking source data from GPU0 and writing to GPU1…
Run kernel on GPU0, taking source data from GPU1 and writing to GPU0…
Copy data back to host from GPU0 and verify results…
Disabling peer access…
Shutting down…
Test passed
(tensor) user0018@10-111-146-12:~/cuda-samples-9.0/samples/0_Simple/simpleP2P$
Ubuntu 16.04.5 LTS TESLA V100-SXM2 16GB x4 CUDA 9.0 Samples simpleP2P p2pBandwidthLatencyTest deviceQuery bandwidthTest nvidia-smi nvlink -c

カテゴリー: nvidia, ubuntu パーマリンク

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