{"id":12160,"date":"2020-01-07T01:52:23","date_gmt":"2020-01-06T16:52:23","guid":{"rendered":"https:\/\/wp.study3.biz\/?p=12160"},"modified":"2022-08-10T09:48:02","modified_gmt":"2022-08-10T00:48:02","slug":"ubuntu-16-04-5-lts-tesla-v100-sxm2-16gb-x4-cuda-9-0-samples-simplep2p-p2pbandwidthlatencytest-devicequery-bandwidthtest-nvidia-smi-nvlink-c%e3%82%92%e5%8b%95%e4%bd%9c%e3%81%95%e3%81%9b%e3%81%a6","status":"publish","type":"post","link":"https:\/\/wp.study3.biz\/?p=12160","title":{"rendered":"Ubuntu 16.04.5 LTS TESLA V100-SXM2 16GB x4 CUDA 9.0 Samples simpleP2P p2pBandwidthLatencyTest deviceQuery bandwidthTest nvidia-smi nvlink -c\u3092\u52d5\u4f5c\u3055\u305b\u3066\u307f\u305f"},"content":{"rendered":"<p>(tensor) user0018@10-111-146-12:~\/cuda-samples-9.0\/samples\/0_Simple\/simpleP2P$ .\/simpleP2P<br \/>\n[.\/simpleP2P] &#8211; Starting&#8230;<br \/>\nChecking for multiple GPUs&#8230;<br \/>\nCUDA-capable device count: 4<br \/>\n> GPU0 = &#8220;Tesla V100-SXM2-16GB&#8221; IS  capable of Peer-to-Peer (P2P)<br \/>\n> GPU1 = &#8220;Tesla V100-SXM2-16GB&#8221; IS  capable of Peer-to-Peer (P2P)<br \/>\n> GPU2 = &#8220;Tesla V100-SXM2-16GB&#8221; IS  capable of Peer-to-Peer (P2P)<br \/>\n> GPU3 = &#8220;Tesla V100-SXM2-16GB&#8221; IS  capable of Peer-to-Peer (P2P)<\/p>\n<p>Checking GPU(s) for support of peer to peer memory access&#8230;<br \/>\n> Peer access from Tesla V100-SXM2-16GB (GPU0) -> Tesla V100-SXM2-16GB (GPU1) : Yes<br \/>\n> Peer access from Tesla V100-SXM2-16GB (GPU0) -> Tesla V100-SXM2-16GB (GPU2) : Yes<br \/>\n> Peer access from Tesla V100-SXM2-16GB (GPU0) -> Tesla V100-SXM2-16GB (GPU3) : Yes<br \/>\n> Peer access from Tesla V100-SXM2-16GB (GPU1) -> Tesla V100-SXM2-16GB (GPU0) : Yes<br \/>\n> Peer access from Tesla V100-SXM2-16GB (GPU1) -> Tesla V100-SXM2-16GB (GPU2) : Yes<br \/>\n> Peer access from Tesla V100-SXM2-16GB (GPU1) -> Tesla V100-SXM2-16GB (GPU3) : Yes<br \/>\n> Peer access from Tesla V100-SXM2-16GB (GPU2) -> Tesla V100-SXM2-16GB (GPU0) : Yes<br \/>\n> Peer access from Tesla V100-SXM2-16GB (GPU2) -> Tesla V100-SXM2-16GB (GPU1) : Yes<br \/>\n> Peer access from Tesla V100-SXM2-16GB (GPU2) -> Tesla V100-SXM2-16GB (GPU3) : Yes<br \/>\n> Peer access from Tesla V100-SXM2-16GB (GPU3) -> Tesla V100-SXM2-16GB (GPU0) : Yes<br \/>\n> Peer access from Tesla V100-SXM2-16GB (GPU3) -> Tesla V100-SXM2-16GB (GPU1) : Yes<br \/>\n> Peer access from Tesla V100-SXM2-16GB (GPU3) -> Tesla V100-SXM2-16GB (GPU2) : Yes<br \/>\nEnabling peer access between GPU0 and GPU1&#8230;<br \/>\nChecking GPU0 and GPU1 for UVA capabilities&#8230;<br \/>\n> Tesla V100-SXM2-16GB (GPU0) supports UVA: Yes<br \/>\n> Tesla V100-SXM2-16GB (GPU1) supports UVA: Yes<br \/>\nBoth GPUs can support UVA, enabling&#8230;<br \/>\nAllocating buffers (64MB on GPU0, GPU1 and CPU Host)&#8230;<br \/>\nCreating event handles&#8230;<br \/>\ncudaMemcpyPeer \/ cudaMemcpy between GPU0 and GPU1: <strong>44.83GB\/s<\/strong><br \/>\nPreparing host buffer and memcpy to GPU0&#8230;<br \/>\nRun kernel on GPU1, taking source data from GPU0 and writing to GPU1&#8230;<br \/>\nRun kernel on GPU0, taking source data from GPU1 and writing to GPU0&#8230;<br \/>\nCopy data back to host from GPU0 and verify results&#8230;<br \/>\nDisabling peer access&#8230;<br \/>\nShutting down&#8230;<br \/>\nTest passed<br \/>\n(tensor) user0018@10-111-146-12:~\/cuda-samples-9.0\/samples\/0_Simple\/simpleP2P$<br \/>\n<a href=\"http:\/\/wp.study3.biz\/wp-content\/uploads\/2019\/07\/Ubuntu-16.04.5-LTS-TESLA-V100-SXM2-16GB-x4-CUDA-9.0-Samples-simpleP2P-p2pBandwidthLatencyTest-deviceQuery-bandwidthTest-nvidia-smi-nvlink-c.txt\">Ubuntu 16.04.5 LTS TESLA V100-SXM2 16GB x4 CUDA 9.0 Samples simpleP2P p2pBandwidthLatencyTest deviceQuery bandwidthTest nvidia-smi nvlink -c<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>(tensor) user0018@10-111-146-12:~\/cuda-samples-9.0\/samples\/0_Simple\/simpleP2P$ .\/simpleP2P [.\/simpleP2P] &#038;#821 &hellip; <a href=\"https:\/\/wp.study3.biz\/?p=12160\">\u7d9a\u304d\u3092\u8aad\u3080 <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[18,17],"tags":[],"class_list":["post-12160","post","type-post","status-publish","format-standard","hentry","category-nvidia","category-ubuntu"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/posts\/12160","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=12160"}],"version-history":[{"count":2,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/posts\/12160\/revisions"}],"predecessor-version":[{"id":12164,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/posts\/12160\/revisions\/12164"}],"wp:attachment":[{"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=12160"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=12160"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=12160"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}