{"id":97,"date":"2018-07-06T15:01:01","date_gmt":"2018-07-06T13:01:01","guid":{"rendered":"https:\/\/project.inria.fr\/coloc\/?page_id=97"},"modified":"2019-03-13T17:36:06","modified_gmt":"2019-03-13T16:36:06","slug":"program","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/coloc\/previous-session\/program\/","title":{"rendered":"Program"},"content":{"rendered":"<p>The workshop will be held on August Monday 27, 2018:<\/p>\n<ul>\n<li>9:00-9:10: Workshop Introduction (Emmanuel Jeannot)<\/li>\n<li>9:10 &#8211; 10:05 : Keynote speach, <strong>Why don&#8217;t we have data close to the computation? Let&#8217;s understand and optimize data locality problem<\/strong>, Fabio Baruffa, Intel<\/li>\n<li>10:10 &#8211; 10:30:\u00a0<strong>A Methodology for Handling Data Movements by Anticipation: Position Paper<\/strong> (Rapha\u00ebl Bleuse, Giorgio Lucarelli and Denis Trystram)<\/li>\n<li>10:30 &#8211; 11:00 : Break<\/li>\n<li>11:00-11:20:\u00a0<strong>NUMAPROF, A NUMA Memory Profiler<\/strong> (S\u00e9bastien Valat and Othman Bouizi)<\/li>\n<li>11:20- 11:40:\u00a0<strong>Scalable Work-Stealing Load-Balancer for HPC Distributed Memory Systems<\/strong> (Clement Fontenaille, Eric Petit, Pablo de Oliveira Castro, Seijilo Uemura, Devan Sohier, Piotr Lesnicki, Ghislain Lartigue and Vincent Moureau)<\/li>\n<li>11:40-12:00:\u00a0<strong>ASPEN: An Efficient Algorithm for Data Redistribution Between Producer and Consumer Grids<\/strong> (Cl\u00e9ment Foyer, Adrian Tate and Simon McIntosh-Smith)<\/li>\n<li>12:00-12:20:\u00a0<strong>Progress Thread Placement for Overlapping MPI Non-Blocking Collectives using Simultaneous Multi-Threading<\/strong> (Hugo Taboada, Alexandre Denis and Julien Jaeger)<\/li>\n<li>12:20-12:30: Workshop ends<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>The workshop will be held on August Monday 27, 2018: 9:00-9:10: Workshop Introduction (Emmanuel Jeannot) 9:10 &#8211; 10:05 : Keynote speach, Why don&#8217;t we have data close to the computation? Let&#8217;s understand and optimize data locality problem, Fabio Baruffa, Intel 10:10 &#8211; 10:30:\u00a0A Methodology for Handling Data Movements by Anticipation:\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/coloc\/previous-session\/program\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":1365,"featured_media":0,"parent":121,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-97","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/coloc\/wp-json\/wp\/v2\/pages\/97","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/coloc\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/coloc\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/coloc\/wp-json\/wp\/v2\/users\/1365"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/coloc\/wp-json\/wp\/v2\/comments?post=97"}],"version-history":[{"count":7,"href":"https:\/\/project.inria.fr\/coloc\/wp-json\/wp\/v2\/pages\/97\/revisions"}],"predecessor-version":[{"id":115,"href":"https:\/\/project.inria.fr\/coloc\/wp-json\/wp\/v2\/pages\/97\/revisions\/115"}],"up":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/coloc\/wp-json\/wp\/v2\/pages\/121"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/coloc\/wp-json\/wp\/v2\/media?parent=97"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}