{"id":2923,"date":"2020-08-12T02:45:36","date_gmt":"2020-08-11T17:45:36","guid":{"rendered":"https:\/\/wp.study3.biz\/?p=2923"},"modified":"2020-08-12T02:55:14","modified_gmt":"2020-08-11T17:55:14","slug":"amd-7302p-centos-linux-release-8-2-titan-rtx-x2-cuda-11-0-samples-simplep2p-p2pbandwidthlatencytest-devicequery-bandwidthtest%e3%82%92%e5%8b%95%e4%bd%9c%e3%81%95%e3%81%9b%e3%81%a6%e3%81%bf%e3%81%9f","status":"publish","type":"post","link":"https:\/\/wp.study3.biz\/?p=2923","title":{"rendered":"AMD 7302P CentOS Linux release 8.2 TITAN RTX x2  CUDA 11.0 Samples simpleP2P p2pBandwidthLatencyTest deviceQuery bandwidthTest\u3092\u52d5\u4f5c\u3055\u305b\u3066\u307f\u305f"},"content":{"rendered":"<p>[chibi@centos8 simpleP2P]$ .\/simpleP2P<br \/>\n[.\/simpleP2P] &#8211; Starting&#8230;<br \/>\nChecking for multiple GPUs&#8230;<br \/>\nCUDA-capable device count: 2<\/p>\n<p>Checking GPU(s) for support of peer to peer memory access&#8230;<br \/>\n> Peer access from TITAN RTX (GPU0) -> TITAN RTX (GPU1) : Yes<br \/>\n> Peer access from TITAN RTX (GPU1) -> TITAN RTX (GPU0) : Yes<br \/>\nEnabling peer access between GPU0 and GPU1&#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>43.55GB\/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[chibi@centos8 simpleP2P]$<br \/>\n<a href=\"https:\/\/wp.study3.biz\/wp-content\/uploads\/2020\/06\/AMD-7302P-CentOS-Linux-release-8.2-TITAN-RTX-x2-CUDA-11.0-Samples-simpleP2P-p2pBandwidthLatencyTest-deviceQuery-bandwidthTest.txt\">AMD 7302P CentOS Linux release 8.2 TITAN RTX x2 CUDA 11.0 Samples simpleP2P p2pBandwidthLatencyTest deviceQuery bandwidthTest<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>[chibi@centos8 simpleP2P]$ .\/simpleP2P [.\/simpleP2P] &#8211; Starting&#8230; Checking for multiple GPUs&#8230; &hellip; <a href=\"https:\/\/wp.study3.biz\/?p=2923\">\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":[5,18],"tags":[],"class_list":["post-2923","post","type-post","status-publish","format-standard","hentry","category-centos8","category-nvidia"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/posts\/2923","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=2923"}],"version-history":[{"count":3,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/posts\/2923\/revisions"}],"predecessor-version":[{"id":3509,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/posts\/2923\/revisions\/3509"}],"wp:attachment":[{"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2923"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2923"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2923"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}