{"id":219,"date":"2016-05-03T15:39:06","date_gmt":"2016-05-03T13:39:06","guid":{"rendered":"https:\/\/wpethzprd.ethz.ch\/isgdmath\/?p=219"},"modified":"2026-04-22T14:52:39","modified_gmt":"2026-04-22T12:52:39","slug":"central-clients","status":"publish","type":"post","link":"https:\/\/blogs.ethz.ch\/isgdmath\/central-clients\/","title":{"rendered":"Central Clients of D-MATH"},"content":{"rendered":"\n<p>Central Clients are powerful computers in the server room, running Fedora. The software available is the same as on the Linux desktops at the D-MATH. We distinguish between two types of Central Clients: <a href=\"https:\/\/blogs.ethz.ch\/isgdmath\/central-clients\/#Compute_Clients\">Compute Clients<\/a> and <a href=\"https:\/\/blogs.ethz.ch\/isgdmath\/central-clients\/#Load_Clients\">Load Clients<\/a>.<\/p>\n\n\n\n<!--more-->\n\n\n\n<h2 class=\"wp-block-heading\"><a class=\"index-element\" name=\"Compute_Clients\"><\/a>Compute Clients<\/h2>\n\n\n\n<p>Note: The central IT services have a very powerful<strong> HPC-cluster<\/strong> called <a href=\"https:\/\/blogs.ethz.ch\/isgdmath\/euler\/\">Euler<\/a>.<\/p>\n\n\n\n<p><strong>Application area:<\/strong> compute jobs(!) like R, Python or Matlab which produce heavy load or use a lot of memory.<\/p>\n\n\n\n<p><strong>Important:<\/strong> Run your <strong><em>compute jobs<\/em><\/strong> with <em>scheduling priority 7<\/em>.<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">Instead of&nbsp;&nbsp;: $ &lt;command-line&gt;\nuse on bash : $ nice -n 7 &lt;command-line&gt;<\/pre>\n\n\n\n<p>Therefore, utility programs like an editor (emacs, vi) are working even on a compute client with a high load.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong>Name<\/strong><\/td><td><strong>CPU \/ <span style=\"color: #339966\"><mark class=\"has-inline-color has-vivid-green-cyan-color\">GPU<\/mark><\/span><\/strong><\/td><td class=\"has-text-align-right\" data-align=\"right\"><strong>RAM<\/strong><\/td><td><strong>Users<\/strong><\/td><\/tr><tr><td><strong>ada-20<\/strong><\/td><td>2x Intel Xeon E5-2699 v4 (22 Cores) 2.20GHz<\/td><td class=\"has-text-align-right\" data-align=\"right\">512 GB<\/td><td>SfS only<\/td><\/tr><tr><td><strong>ada-21<\/strong><\/td><td>2x Intel Xeon E5-2699 v4 (22 Cores) 2.20GHz<\/td><td class=\"has-text-align-right\" data-align=\"right\">512 GB<\/td><td>all<\/td><\/tr><tr><td><strong>ada-22<\/strong><\/td><td>2x Intel Xeon E5-2697 v4 (18 Cores) 2.3 GHz<br><mark class=\"has-inline-color has-vivid-green-cyan-color\">1x nVidia GeForce GTX 1080 Ti (12GB)<br>1x nVidia GeForce GTX 1080 (8GB)<\/mark><\/td><td class=\"has-text-align-right\" data-align=\"right\">256 GB<\/td><td>all<\/td><\/tr><tr><td><strong>ada-23<\/strong><\/td><td>2x Intel Xeon Gold 6148 (20 Cores) 2.4 GHz<br><span style=\"color: #339966\"><mark class=\"has-inline-color has-vivid-green-cyan-color\">4x nVidia GeForce GTX 1080 Ti (12 GB)<\/mark><\/span><\/td><td class=\"has-text-align-right\" data-align=\"right\">256 GB<\/td><td>all<\/td><\/tr><tr><td><strong>ada-24<\/strong><\/td><td>2x Intel Xeon Gold 6252 (24 Cores) 2.1 GHz<br><span style=\"color: #339966\"><mark class=\"has-inline-color has-vivid-green-cyan-color\">2x nVidia GeForce RTX 2080 Ti (12 GB)<\/mark><\/span><\/td><td class=\"has-text-align-right\" data-align=\"right\">512 GB<\/td><td>all<\/td><\/tr><tr><td><strong>ada-25<\/strong><\/td><td>2x Intel Xeon Gold 6254 (18 Cores) 3.1 GHz<br><span style=\"color: #339966\"><mark class=\"has-inline-color has-vivid-green-cyan-color\">2x nVidia GeForce RTX 2080 Ti (12 GB)<\/mark><\/span><\/td><td class=\"has-text-align-right\" data-align=\"right\">512 GB<\/td><td> all<span style=\"font-size: inherit;font-family: inherit;font-weight: inherit;color: initial\"> <\/span><\/td><\/tr><tr><td><strong>ada-26<\/strong><\/td><td>1x AMD EPYC 7742 (64 Cores) 2.25GHz<br><span style=\"color: #339966\"><mark class=\"has-inline-color has-vivid-green-cyan-color\">2x nVidia GeForce RTX 3090 (24 GB)<\/mark><\/span><\/td><td class=\"has-text-align-right\" data-align=\"right\">512 GB<\/td><td> all<span style=\"font-size: inherit;font-family: inherit;font-weight: inherit;color: initial\"> <\/span><\/td><\/tr><tr><td><strong>ada-27<\/strong><\/td><td>1x AMD EPYC 7763 (64 Cores) 2.45GHz<br><span style=\"color: #339966\"><mark class=\"has-inline-color has-vivid-green-cyan-color\">2x nVidia GeForce RTX 4090 (24 GB)<\/mark><\/span><\/td><td class=\"has-text-align-right\" data-align=\"right\">512 GB<\/td><td> all<\/td><\/tr><tr><td><strong>ada-28<\/strong><\/td><td>2x AMD EPYC 7313 (16 Cores) 3.0GHz<br><span style=\"color: #339966\"><mark class=\"has-inline-color has-vivid-green-cyan-color\">4x nVidia GeForce RTX 4090 (24 GB)<\/mark><\/span><\/td><td class=\"has-text-align-right\" data-align=\"right\">1&#8217;024 GB<\/td><td>SfS only<\/td><\/tr><tr><td><strong>ada-29<\/strong><\/td><td>1x AMD EPYC 7763 (64 Cores) 2.45GHz<br><span style=\"color: #339966\"><mark class=\"has-inline-color has-vivid-green-cyan-color\">2x nVidia RTX 6000 Ada (48 GB)<\/mark><\/span><\/td><td class=\"has-text-align-right\" data-align=\"right\">512 GB<\/td><td>all<\/td><\/tr><tr><td><strong>ada-30<\/strong><\/td><td>1x AMD EPYC 9554 (64 Cores) 3.1GHz<br><mark class=\"has-inline-color has-vivid-green-cyan-color\">3x nVidia L40s (48GB)<\/mark><\/td><td class=\"has-text-align-right\" data-align=\"right\">1&#8217;152 GB<\/td><td>SfS only<\/td><\/tr><tr><td><strong>ada-31<\/strong><\/td><td>1x AMD EPYC 9554 (64 Cores) 3.1GHz<br><mark class=\"has-inline-color has-vivid-green-cyan-color\">2 x nVidia RTX PRO 6000 Blackwell (96GB)<\/mark><\/td><td class=\"has-text-align-right\" data-align=\"right\">1&#8217;152 GB<\/td><td>all<\/td><\/tr><tr><td><strong>ada-32<\/strong><\/td><td>1x AMD EPYC 9554 (64 Cores) 3.1GHz<br><mark class=\"has-inline-color has-vivid-green-cyan-color\">2 x nVidia RTX PRO 6000 Blackwell (96GB)<\/mark><\/td><td class=\"has-text-align-right\" data-align=\"right\">1&#8217;152 GB<\/td><td>all<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><a class=\"index-element\" name=\"Load_Clients\"><\/a>Load Clients<\/h2>\n\n\n\n<p><strong>Application area: <\/strong>Programs you need for your desktop environment but use too much power on your computer, like firefox, libreoffice or texing large documents. Do not use these clients for your compute jobs!<\/p>\n\n\n\n<p>For example:<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">ssh ion-1\npdflatex my-phd.tex<\/pre>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong>Name<\/strong><\/td><td><strong>Type<\/strong><\/td><td><strong>CPU<\/strong><\/td><td><strong>RAM<\/strong><\/td><td><strong> <strong>Users&nbsp;<\/strong><\/strong><\/td><\/tr><tr><td>ion-1<\/td><td>Virtual<\/td><td>4 cores<\/td><td>12 GB<\/td><td>all<\/td><\/tr><tr><td>ion-2<\/td><td>Virtual<\/td><td>4 cores<\/td><td>12 GB<\/td><td>all<\/td><\/tr><tr><td>ion-3<\/td><td>Virtual<\/td><td>4 cores<\/td><td>12 GB<\/td><td>all<\/td><\/tr><tr><td>ion-4<\/td><td>Virtual<\/td><td>4 cores<\/td><td>12 GB<\/td><td>all<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Local data<\/h2>\n\n\n\n<p>If you want to save data locally (which is faster than on the network), you can do this in <strong>\/userdata<\/strong>. The first time create a directory with you username:<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">mkdir \/userdata\/$USER<\/pre>\n\n\n\n<p>To access the local data of an ada-XX from another ada (or from a linux desktop computer), go to \/r\/ada-XX\/$USER. Of course accessing the data in this way is slower.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Central Clients are powerful computers in the server room, running Fedora. The software available is the same as on the Linux desktops at the D-MATH. We distinguish between two types of Central Clients: Compute Clients and Load Clients.<\/p>\n","protected":false},"author":43853,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[198216],"tags":[],"class_list":["post-219","post","type-post","status-publish","format-standard","hentry","category-computing"],"_links":{"self":[{"href":"https:\/\/blogs.ethz.ch\/isgdmath\/wp-json\/wp\/v2\/posts\/219","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.ethz.ch\/isgdmath\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.ethz.ch\/isgdmath\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.ethz.ch\/isgdmath\/wp-json\/wp\/v2\/users\/43853"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.ethz.ch\/isgdmath\/wp-json\/wp\/v2\/comments?post=219"}],"version-history":[{"count":7,"href":"https:\/\/blogs.ethz.ch\/isgdmath\/wp-json\/wp\/v2\/posts\/219\/revisions"}],"predecessor-version":[{"id":1916,"href":"https:\/\/blogs.ethz.ch\/isgdmath\/wp-json\/wp\/v2\/posts\/219\/revisions\/1916"}],"wp:attachment":[{"href":"https:\/\/blogs.ethz.ch\/isgdmath\/wp-json\/wp\/v2\/media?parent=219"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.ethz.ch\/isgdmath\/wp-json\/wp\/v2\/categories?post=219"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.ethz.ch\/isgdmath\/wp-json\/wp\/v2\/tags?post=219"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}