{"id":4,"date":"2011-12-08T11:55:34","date_gmt":"2011-12-08T11:55:34","guid":{"rendered":"http:\/\/project.inria.fr\/template1\/?page_id=4"},"modified":"2020-09-10T10:59:06","modified_gmt":"2020-09-10T08:59:06","slug":"home","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/hpcbigdata\/","title":{"rendered":"Overview"},"content":{"rendered":"<p><\/p>\n<div class=\"page\" title=\"Page 1\">\n<div class=\"layoutArea\">\n<div class=\"column\">\n<p>The Challenge HPC-BigData is a four year project (2018-2022) funded by <a href=\"http:\/\/www.inria.fr\">INRIA<\/a>.<\/p>\n<h3>Summary<\/h3>\n<p>HPC and Big Data evolved with their own infrastructures (supercomputers versus clouds), applications (scientific simulations versus data analytics) and software tools (MPI and OpenMP versus Map\/Reduce or Deep Learning frameworks). But Big Data analytics is becoming more compute-intensive (thanks to deep learning), while data handling is becoming a major concern for scientific computing. The Challenge HPC-BigData gathers teams from the HPC, Big Data and Machine Learning (ML) areas to work at the intersection between these domains. Research is organized along three main axes:<\/p>\n<ul>\n<li><b>HPC acceleration for AI and Big Data<br \/>\n<\/b><\/li>\n<li><b>AI &amp; Big Data analytics for large scale scientific simulations<\/b><\/li>\n<li><b>Infrastructure and resource management <\/b><\/li>\n<\/ul>\n<h3><a href=\"https:\/\/project.inria.fr\/hpcbigdata\/files\/2018\/08\/IPL-HPCBigData-Feb2018.pdf\">Full Initial Proposal\u00a0 (Feb 2018)<\/a><\/h3>\n<\/div>\n<h3>Participants:<\/h3>\n<h4>INRIA Teams:<\/h4>\n<ul>\n<li>DataMove, Grenoble: <strong>Bruno Raffin (PI)<\/strong>, Olivier Richard<\/li>\n<li>KerData, Rennes: Gabriel Antoniu, Alexandru Costan<\/li>\n<li>SequeL, Lille: Philippe Preux<\/li>\n<li>Sierra, Paris: Francis Bach, Loic Esteve<\/li>\n<li>Tau, Saclay: Guillaume Charpiat<\/li>\n<li>Zenith, Montpellier: Patrick Valduriez, Alexis Joly<\/li>\n<li>Parietal, Saclay: Gael Varoquaux<\/li>\n<li>TADaaM, Bordeaux: Emmanuel Jeannot, Guillaume Aupy<\/li>\n<li>HiePACS, Bordeaux: Olivier Coulaud<\/li>\n<li>Storm, Bordeaux: Samuel Thibault<\/li>\n<li>RealOpt, Bordeaux: Olivier Beaumont<\/li>\n<\/ul>\n<h4>Scientists Funded by the Challenge\/IPL:<\/h4>\n<ul>\n<li>PhD: Alena Shilova. Advisers:\u00a0 Olivier Beaumont, Alexis Joly<\/li>\n<li>PhD: Loris Felardos. Advisers:\u00a0 Guillaume Charpiat, Jerome Henin, Bruno Raffin<\/li>\n<li>PhD: Daniel Rosendo. Advisers: Gabriel Antoniu, Patrick Valduriez<\/li>\n<li>Postdoc: Essam Morsi (Sequel, DataMove)<\/li>\n<li>Engineer: Pierre Glaser (Parietal, Storm)<\/li>\n<li>Engineer: Kun He (Storm, Parietal)<\/li>\n<\/ul>\n<h4>External Participants:<\/h4>\n<ul>\n<li>Laboratoire de Biochimie Th\u00e9orique (LBT), CNRS, Paris: Marc Baaden, J\u00e9r\u00f4me H\u00e9nin<\/li>\n<li>Grid&#8217;5000: Pierre Neyron<\/li>\n<li>Atos\/Bull<\/li>\n<li>Esi-Group<\/li>\n<li>Argonne National Labs,\u00a0 Mathematics &amp; Computer Science Division<\/li>\n<\/ul>\n<h3>Contact<\/h3>\n<ul>\n<li><a href=\"mailto:bruno.raffin@inria.fr\">bruno.raffin@inria.fr<\/a><\/li>\n<\/ul>\n<\/div>\n<\/div>\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>The Challenge HPC-BigData is a four year project (2018-2022) funded by INRIA. Summary HPC and Big Data evolved with their own infrastructures (supercomputers versus clouds), applications (scientific simulations versus data analytics) and software tools (MPI and OpenMP versus Map\/Reduce or Deep Learning frameworks). But Big Data analytics is becoming more\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/hpcbigdata\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-4","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/hpcbigdata\/wp-json\/wp\/v2\/pages\/4","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/hpcbigdata\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/hpcbigdata\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/hpcbigdata\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/hpcbigdata\/wp-json\/wp\/v2\/comments?post=4"}],"version-history":[{"count":19,"href":"https:\/\/project.inria.fr\/hpcbigdata\/wp-json\/wp\/v2\/pages\/4\/revisions"}],"predecessor-version":[{"id":119,"href":"https:\/\/project.inria.fr\/hpcbigdata\/wp-json\/wp\/v2\/pages\/4\/revisions\/119"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/hpcbigdata\/wp-json\/wp\/v2\/media?parent=4"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}