{"id":1885,"date":"2022-04-22T09:12:36","date_gmt":"2022-04-22T09:12:36","guid":{"rendered":"https:\/\/www.risc2-project.eu\/?p=1885"},"modified":"2022-09-20T10:18:43","modified_gmt":"2022-09-20T10:18:43","slug":"kabre-supercomputer","status":"publish","type":"post","link":"https:\/\/risc2-project.eu\/?p=1885","title":{"rendered":"Kabr\u00e9 Supercomputer"},"content":{"rendered":"<ul>\n<li><strong>Title<\/strong>: Kabr\u00e9 Supercomputer<\/li>\n<li><strong>System name<\/strong>: Kabr\u00e9 Supercomputer<\/li>\n<li><strong>Location<\/strong>: National High Technology Center (CeNAT)<\/li>\n<li><a href=\"https:\/\/kabre.cenat.ac.cr\/\"><strong>Web<\/strong><\/a><\/li>\n<li><strong>OS<\/strong>: Linux CentOS 7.2<\/li>\n<li><strong>Country<\/strong>: Costa Rica<\/li>\n<li><strong><strong><strong><strong><strong><strong><strong><strong><strong>Processor architecture:<\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>\n<ul>\n<li>Simulation nodes (32 nodes): Intel Xeon Phi KNL, 64 physical cores, 96 GB of main memory<\/li>\n<li>Data science nodes (5 nodes): Intel Xeon, 24 physical cores, 16-128 GB main memory<\/li>\n<li>Machine learning nodes (8 nodes): Intel Xeon, 16 physical cores, 16-32 GB main memory, half the nodes with NVIDIA K40 GPU, half with NVIDIA V100 GPU<\/li>\n<li>Bioinformatics nodes (7 nodes): Intel Xeon, 24 physical cores, 512-1024 GB main memory<\/li>\n<li>Storage capacity: 120 TB<\/li>\n<\/ul>\n<\/li>\n<li><strong>Access Policy:<\/strong> Restricted to students and staff of all public universities in Costa Rica<\/li>\n<li><strong>Main research domains:<\/strong> Full computational science spectrum, big data, artificial intelligence, bioinformatics<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Title: Kabr\u00e9 Supercomputer System name: Kabr\u00e9 Supercomputer Location: National High Technology Center (CeNAT) Web OS: Linux CentOS 7.2 Country: Costa Rica Processor architecture: Simulation nodes (32 nodes): Intel Xeon Phi KNL, 64 physical cores, 96 GB of main memory Data science nodes (5 nodes): Intel Xeon, 24 physical cores, 16-128 GB main memory Machine learning [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[42],"tags":[149,180],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/risc2-project.eu\/index.php?rest_route=\/wp\/v2\/posts\/1885"}],"collection":[{"href":"https:\/\/risc2-project.eu\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/risc2-project.eu\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/risc2-project.eu\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/risc2-project.eu\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1885"}],"version-history":[{"count":3,"href":"https:\/\/risc2-project.eu\/index.php?rest_route=\/wp\/v2\/posts\/1885\/revisions"}],"predecessor-version":[{"id":1993,"href":"https:\/\/risc2-project.eu\/index.php?rest_route=\/wp\/v2\/posts\/1885\/revisions\/1993"}],"wp:attachment":[{"href":"https:\/\/risc2-project.eu\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1885"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/risc2-project.eu\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1885"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/risc2-project.eu\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1885"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}