{"id":952,"date":"2020-04-03T02:25:55","date_gmt":"2020-04-02T17:25:55","guid":{"rendered":"https:\/\/wp.study3.biz\/?p=952"},"modified":"2020-05-19T08:04:09","modified_gmt":"2020-05-18T23:04:09","slug":"ubuntu-16-04-6-lts-titan-v-x2-i7-5960x-namd-2-12-171025-namd-stmv-virus-benchmark-1066628-atoms-periodic-pme-cuda10-2-driver440-33%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=952","title":{"rendered":"Ubuntu 16.04.6 LTS TITAN V x2  i7 5960x namd 2.12-171025  NAMD STMV (virus) benchmark (1,066,628 atoms, periodic, PME) CUDA10.2 Driver440.33\u3092\u52d5\u4f5c\u3055\u305b\u3066\u307f\u305f 0.970106 days\/ns"},"content":{"rendered":"<p>chibi@1604:~$ cat \/etc\/os-release<br \/>\nNAME=&#8221;Ubuntu&#8221;<br \/>\nVERSION=&#8221;16.04.6 LTS (Xenial Xerus)&#8221;<br \/>\nID=ubuntu<br \/>\nID_LIKE=debian<br \/>\nPRETTY_NAME=&#8221;Ubuntu 16.04.6 LTS&#8221;<br \/>\nVERSION_ID=&#8221;16.04&#8243;<br \/>\nHOME_URL=&#8221;http:\/\/www.ubuntu.com\/&#8221;<br \/>\nSUPPORT_URL=&#8221;http:\/\/help.ubuntu.com\/&#8221;<br \/>\nBUG_REPORT_URL=&#8221;http:\/\/bugs.launchpad.net\/ubuntu\/&#8221;<br \/>\nVERSION_CODENAME=xenial<br \/>\nUBUNTU_CODENAME=xenial<br \/>\nchibi@1604:~$ nvcc -V<br \/>\nnvcc: NVIDIA (R) Cuda compiler driver<br \/>\nCopyright (c) 2005-2019 NVIDIA Corporation<br \/>\nBuilt on Wed_Oct_23_19:24:38_PDT_2019<br \/>\nCuda compilation tools, release 10.2, V10.2.89<br \/>\nchibi@1604:~$ sudo hddtemp \/dev\/sda<br \/>\n\/dev\/sda: WDC WD5000LPVX-22V0TT0: 17\u00b0C<br \/>\nchibi@1604:~$<\/p>\n<p>chibi@1604:~$ sudo nvidia-docker run -it &#8211;rm nvcr.io\/hpc\/namd:2.12-171025 \/opt\/namd\/namd-multicore-memopt +p40 +setcpuaffinity +idlepoll \/workspace\/examples\/stmv\/stmv_pmecuda.namd<br \/>\nCharm++: standalone mode (not using charmrun)<br \/>\nCharm++&gt; Running in Multicore mode: 40 threads<br \/>\nCharm++&gt; Using recursive bisection (scheme 3) for topology aware partitions<br \/>\nConverse\/Charm++ Commit ID: v6.8.2<br \/>\nWarning&gt; Randomization of virtual memory (ASLR) is turned on in the kernel, thread migration may not work! Run &#8216;echo 0 &gt; \/proc\/sys\/kernel\/randomize_va_space&#8217; as root to disable it, or try running with &#8216;+isomalloc_sync&#8217;.<br \/>\nCharmLB&gt; Load balancer assumes all CPUs are same.<br \/>\nCharm++&gt; cpu affinity enabled.<br \/>\nCharm++&gt; Running on 1 unique compute nodes (16-way SMP).<br \/>\nCharm++&gt; cpu topology info is gathered in 0.031 seconds.<br \/>\nInfo: Built with CUDA version 9000<br \/>\nDid not find +devices i,j,k,&#8230; argument, using all<br \/>\nPe 3 physical rank 3 will use CUDA device of pe 16<br \/>\nPe 38 physical rank 38 will use CUDA device of pe 32<br \/>\nPe 23 physical rank 23 will use CUDA device of pe 32<br \/>\nPe 33 physical rank 33 will use CUDA device of pe 32<br \/>\nPe 8 physical rank 8 will use CUDA device of pe 16<br \/>\nPe 28 physical rank 28 will use CUDA device of pe 32<br \/>\nPe 29 physical rank 29 will use CUDA device of pe 32<br \/>\nPe 6 physical rank 6 will use CUDA device of pe 16<br \/>\nPe 25 physical rank 25 will use CUDA device of pe 32<br \/>\nPe 0 physical rank 0 will use CUDA device of pe 16<br \/>\nPe 35 physical rank 35 will use CUDA device of pe 32<br \/>\nPe 19 physical rank 19 will use CUDA device of pe 16<br \/>\nPe 36 physical rank 36 will use CUDA device of pe 32<br \/>\nPe 11 physical rank 11 will use CUDA device of pe 16<br \/>\nPe 30 physical rank 30 will use CUDA device of pe 32<br \/>\nPe 22 physical rank 22 will use CUDA device of pe 32<br \/>\nPe 1 physical rank 1 will use CUDA device of pe 16<br \/>\nPe 24 physical rank 24 will use CUDA device of pe 32<br \/>\nPe 20 physical rank 20 will use CUDA device of pe 32<br \/>\nPe 26 physical rank 26 will use CUDA device of pe 32<br \/>\nPe 10 physical rank 10 will use CUDA device of pe 16<br \/>\nPe 2 physical rank 2 will use CUDA device of pe 16<br \/>\nPe 31 physical rank 31 will use CUDA device of pe 32<br \/>\nPe 18 physical rank 18 will use CUDA device of pe 16<br \/>\nPe 34 physical rank 34 will use CUDA device of pe 32<br \/>\nPe 37 physical rank 37 will use CUDA device of pe 32<br \/>\nPe 15 physical rank 15 will use CUDA device of pe 16<br \/>\nPe 7 physical rank 7 will use CUDA device of pe 16<br \/>\nPe 17 physical rank 17 will use CUDA device of pe 16<br \/>\nPe 27 physical rank 27 will use CUDA device of pe 32<br \/>\nPe 39 physical rank 39 will use CUDA device of pe 32<br \/>\nPe 12 physical rank 12 will use CUDA device of pe 16<br \/>\nPe 9 physical rank 9 will use CUDA device of pe 16<br \/>\nPe 21 physical rank 21 will use CUDA device of pe 32<br \/>\nPe 13 physical rank 13 will use CUDA device of pe 16<br \/>\nPe 14 physical rank 14 will use CUDA device of pe 16<br \/>\nPe 5 physical rank 5 will use CUDA device of pe 16<br \/>\nPe 4 physical rank 4 will use CUDA device of pe 16<br \/>\nPe 16 physical rank 16 binding to CUDA device 0 on e9153dd46a6d: &#8216;TITAN V&#8217; Mem: 12065MB Rev: 7.0<br \/>\nPe 32 physical rank 32 binding to CUDA device 1 on e9153dd46a6d: &#8216;TITAN V&#8217; Mem: 12066MB<\/p>\n<p>Info: Benchmark time: 40 CPUs 0.0838171 s\/step <strong>0.970106 days\/ns<\/strong> 2474.9 MB memory<\/p>\n<p>\u30c7\u30fc\u30bf\u8a73\u7d30 <a href=\"https:\/\/wp.study3.biz\/wp-content\/uploads\/2020\/03\/Ubuntu-16.04.6-LTS-TITAN-V-x2-i7-5960x-namd-2.12-171025-NAMD-STMV-virus-benchmark-1066628-atoms-periodic-PME-CUDA10.2-Driver440.33-0.970106-days-ns.txt\">Ubuntu 16.04.6 LTS TITAN V x2 i7 5960x namd 2.12-171025 NAMD STMV (virus) benchmark (1,066,628 atoms, periodic, PME) CUDA10.2 Driver440.33 0.970106 days ns<\/a><\/p>\n<p>GPU\u6e29\u5ea6\u63a8\u79fb <a href=\"https:\/\/wp.study3.biz\/wp-content\/uploads\/2020\/03\/Ubuntu-16.04.6-LTS-TITAN-V-x2-i7-5960x-namd-2.12-171025-NAMD-STMV-virus-benchmark-1066628-atoms-periodic-PME-CUDA10.2-Driver440.33-0.970106-days-ns-nvidia-smi.txt\">Ubuntu 16.04.6 LTS TITAN V x2 i7 5960x namd 2.12-171025 NAMD STMV (virus) benchmark (1,066,628 atoms, periodic, PME) CUDA10.2 Driver440.33 0.970106 days ns nvidia-smi<\/a><\/p>\n<p>\u53c2\u8003<a href=\"https:\/\/www.hpc-technologies.co.jp\/namd-benchmark\">\u30b5\u30a4\u30c8<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>chibi@1604:~$ cat \/etc\/os-release NAME=&#8221;Ubuntu&#8221; VERSION=&#8221;16.04.6 LTS (Xenial Xerus)&#8221; I &hellip; <a href=\"https:\/\/wp.study3.biz\/?p=952\">\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-952","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\/952","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=952"}],"version-history":[{"count":3,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/posts\/952\/revisions"}],"predecessor-version":[{"id":2235,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/posts\/952\/revisions\/2235"}],"wp:attachment":[{"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=952"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=952"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=952"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}