

{"id":188,"date":"2023-10-25T11:53:48","date_gmt":"2023-10-25T09:53:48","guid":{"rendered":"https:\/\/project.inria.fr\/cornelia\/?page_id=188"},"modified":"2023-10-25T11:53:48","modified_gmt":"2023-10-25T09:53:48","slug":"francais-cluster-cril","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/cornelia\/fr\/francais-cluster-cril\/","title":{"rendered":"Cluster CRIL"},"content":{"rendered":"<p class=\"wp-block-paragraph\"><strong>Porteur : Universit\u00e9 d&rsquo;Artois<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Le CRIL dispose en propre d\u2019un cluster de calculs. Il est essentiel \u00e0 nos travaux exp\u00e9rimentaux de conception d\u2019algorithmes performants de r\u00e9solution d\u2019instances de probl\u00e8mes NP-difficiles. Les principales d\u00e9penses d\u2019\u00e9quipement dont la jouvence du cluster de calcul sont r\u00e9alis\u00e9es sur fonds propres du laboratoire et avec le soutien de l\u2019universit\u00e9 d\u2019Artois, ainsi que d\u2019op\u00e9rations contractualis\u00e9es avec la R\u00e9gion Hauts-de-France, le FEDER et l\u2019\u00c9tat au sein des CPER.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Le cluster de calcul du CRIL est compos\u00e9 comme suit :<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">-52 n\u0153uds bi-CPU Intel Xeon X5550 2,66Ghz 4 c\u0153urs, 32Go<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8211; 2 n\u0153uds quad-CPU Intel Xeon X7550 2,00Ghz 8 c\u0153urs, 256Go<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8211; 34 n\u0153uds bi-CPU Intel Xeon E5-2643 3,30Ghz 4 c\u0153urs, 64Go<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8211; 36 n\u0153uds bi-CPU Intel Xeon E5-2637 v4 3,50Ghz 4 c\u0153urs, 128Go<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8211; 2 n\u0153uds quad-CPU Intel Xeon Gold 6148 2,4Ghz 20 c\u0153urs, 768Go, 11,52To SSD<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8211; 5 n\u0153uds quad-CPU Intel Xeon Gold 6248 2,5Ghz 20 c\u0153urs, 768Go, 13,44To SSD<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8211; 1 n\u0153ud bi-CPU Intel Xeon Gold 6126 2,6GHz 12 c\u0153urs, 192Go, 3~GPU NVidia Tesla P100 16Go<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8211; n\u0153uds bi-CPU Intel Xeon Gold 6226 2,9GHz 12 c\u0153urs, 192Go, 4~GPU NVidia RTX 8000 48Go<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&nbsp; Au total :<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&nbsp; &#8211; 134 n\u0153uds de calcul :<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; .&nbsp; 286 CPU (1672 c\u0153urs physiques)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; . 11 GPU (93,1 TFlops SP)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&nbsp;&#8211; + 4 serveurs (fichiers, gestion jobs)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8211; + 4 switchs<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8211; + 3 climatiseurs<\/p>","protected":false},"excerpt":{"rendered":"<p>Porteur : Universit\u00e9 d&rsquo;Artois Le CRIL dispose en propre d\u2019un cluster de calculs. Il est essentiel \u00e0 nos travaux exp\u00e9rimentaux de conception d\u2019algorithmes performants de r\u00e9solution d\u2019instances de probl\u00e8mes NP-difficiles. Les principales d\u00e9penses d\u2019\u00e9quipement dont la jouvence du cluster de calcul sont r\u00e9alis\u00e9es sur fonds propres du laboratoire et avec&#8230;<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/cornelia\/fr\/francais-cluster-cril\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":2387,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":"","_members_access_role":[],"_members_access_error":""},"class_list":["post-188","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/cornelia\/fr\/wp-json\/wp\/v2\/pages\/188","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/cornelia\/fr\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/cornelia\/fr\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/cornelia\/fr\/wp-json\/wp\/v2\/users\/2387"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/cornelia\/fr\/wp-json\/wp\/v2\/comments?post=188"}],"version-history":[{"count":1,"href":"https:\/\/project.inria.fr\/cornelia\/fr\/wp-json\/wp\/v2\/pages\/188\/revisions"}],"predecessor-version":[{"id":190,"href":"https:\/\/project.inria.fr\/cornelia\/fr\/wp-json\/wp\/v2\/pages\/188\/revisions\/190"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/cornelia\/fr\/wp-json\/wp\/v2\/media?parent=188"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}