{"id":378,"date":"2020-10-02T12:34:04","date_gmt":"2020-10-02T17:34:04","guid":{"rendered":"https:\/\/computing.fnal.gov\/wilsoncluster\/?page_id=378"},"modified":"2024-02-07T15:42:57","modified_gmt":"2024-02-07T21:42:57","slug":"hardware","status":"publish","type":"page","link":"https:\/\/computing.fnal.gov\/wilsoncluster\/hardware\/","title":{"rendered":"Hardware"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">CPU-only worker features<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong>partition(s)<\/strong><\/td><td><strong>node count(s)<\/strong><\/td><td><strong>processor<\/strong><\/td><td><strong>cores \/ threads<\/strong><\/td><td><strong>memory [GB]<\/strong><\/td><td><strong>mem \/ core [GB]<\/strong><\/td><\/tr><tr><td><code>wc_cpu<\/code> \/ <code>wc_test<\/code><\/td><td>90 \/ 10<\/td><td>dual Xeon E5-2650 v2 2.6 GHz <\/td><td>16 \/ 16<\/td><td>128<\/td><td>8<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">GPU-equipped worker features<\/h2>\n\n\n\n<p>The workers below share the <code>wc_gpu<\/code> slurm partition. The <code>gres<\/code> specification is used to request a particular worker node type.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong>node count<\/strong><\/td><td><strong>slurm gres<\/strong><\/td><td><strong>GPU type<\/strong><\/td><td><strong>GPU count<\/strong><\/td><td><strong>processors<\/strong><\/td><td><strong>cores \/ threads<\/strong><\/td><td><strong>host memory [GB]<\/strong><\/td><\/tr><tr><td>2<\/td><td>gpu:a100<\/td><td>NVIDIA A100<\/td><td>2<\/td><td>dual AMD EPYC 7543 2.8 GHz<\/td><td>64 \/ 64<\/td><td>512<\/td><\/tr><tr><td>1<\/td><td>gpu:a100<\/td><td>NVIDIA A100<\/td><td>4<\/td><td>dual AMD EPYC 7543 2.8 GHz<\/td><td>64 \/ 64<\/td><td>512<\/td><\/tr><tr><td>4<\/td><td>gpu:v100<\/td><td>NVIDIA V100<\/td><td>2<\/td><td>dual Xeon Gold 6248 2.5 GHz<\/td><td>40 \/ 40<\/td><td>192<\/td><\/tr><tr><td>1<\/td><td>gpu:p100nvlink<\/td><td>NVIDIA P100<\/td><td>2 <\/td><td>dual Xeon E5-2680 2.4GHz<\/td><td>28 \/ 28<\/td><td>128 <\/td><\/tr><tr><td>1<\/td><td>gpu:p100<\/td><td>NVIDIA P100<\/td><td>8<\/td><td>dual Xeon E5-2609 v4 1.7GHz<\/td><td>16 \/ 16<\/td><td>768<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">IBM Power9 (ppc64le) GPU worker<\/h2>\n\n\n\n<p>The IBM Power9 worker <code>ppc64le<\/code> architecture is not binary compatible with the widely used <code>x86_64<\/code> architecture of AMD and Intel processors, hence, this node is in a separate slurm partition named <code>wc_gpu_ppc<\/code>. GPUs are requested using <code>--gres=gpu:v100nvlinkppc64:n<\/code> where <code>n<\/code> is the number of GPUs needed. This node&#8217;s design is similar to the worker nodes in the OLCF <a href=\"https:\/\/docs.olcf.ornl.gov\/systems\/summit_user_guide.html\">Summit<\/a> supercomputer.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong>node count<\/strong><\/td><td><strong>GPU type<\/strong><\/td><td><strong>GPU count<\/strong><\/td><td><strong>processors<\/strong><\/td><td><strong>cores \/ threads<\/strong><\/td><td><strong>host memory [TB]<\/strong><\/td><\/tr><tr><td>1<\/td><td>NVIDIA V100<\/td><td>4<\/td><td>dual IBM Power9 3.8 GHz<\/td><td>32 \/ 128<\/td><td>1.1<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>CPU-only worker features partition(s) node count(s) processor cores \/ threads memory [GB] mem \/ core [GB] wc_cpu \/ wc_test 90 \/ 10 dual Xeon E5-2650 v2 2.6 GHz 16 \/ 16 128 8 GPU-equipped worker features The workers below share the wc_gpu slurm partition. The gres specification is used to request a particular worker node&#8230; <a class=\"more-link\" href=\"https:\/\/computing.fnal.gov\/wilsoncluster\/hardware\/\"> More &#187;<\/a><\/p>\n","protected":false},"author":15,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-378","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/computing.fnal.gov\/wilsoncluster\/wp-json\/wp\/v2\/pages\/378","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/computing.fnal.gov\/wilsoncluster\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/computing.fnal.gov\/wilsoncluster\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/computing.fnal.gov\/wilsoncluster\/wp-json\/wp\/v2\/users\/15"}],"replies":[{"embeddable":true,"href":"https:\/\/computing.fnal.gov\/wilsoncluster\/wp-json\/wp\/v2\/comments?post=378"}],"version-history":[{"count":55,"href":"https:\/\/computing.fnal.gov\/wilsoncluster\/wp-json\/wp\/v2\/pages\/378\/revisions"}],"predecessor-version":[{"id":7664,"href":"https:\/\/computing.fnal.gov\/wilsoncluster\/wp-json\/wp\/v2\/pages\/378\/revisions\/7664"}],"wp:attachment":[{"href":"https:\/\/computing.fnal.gov\/wilsoncluster\/wp-json\/wp\/v2\/media?parent=378"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}