{"id":175,"date":"2017-11-23T14:04:45","date_gmt":"2017-11-23T13:04:45","guid":{"rendered":"https:\/\/project.inria.fr\/pampa\/?p=175"},"modified":"2017-11-23T14:18:23","modified_gmt":"2017-11-23T13:18:23","slug":"mesh-safran","status":"publish","type":"post","link":"https:\/\/project.inria.fr\/pampa\/mesh-safran\/","title":{"rendered":"A mesh for Safran Helicopter Engines"},"content":{"rendered":"<div class=\"intro\">\n<p><a href=\"https:\/\/project.inria.fr\/pampa\/files\/2017\/09\/image-1.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-166\" src=\"https:\/\/project.inria.fr\/pampa\/files\/2017\/09\/image-1-300x195.png\" alt=\"\" width=\"300\" height=\"195\" srcset=\"https:\/\/project.inria.fr\/pampa\/files\/2017\/09\/image-1-300x195.png 300w, https:\/\/project.inria.fr\/pampa\/files\/2017\/09\/image-1-768x500.png 768w, https:\/\/project.inria.fr\/pampa\/files\/2017\/09\/image-1-1024x666.png 1024w, https:\/\/project.inria.fr\/pampa\/files\/2017\/09\/image-1-150x98.png 150w, https:\/\/project.inria.fr\/pampa\/files\/2017\/09\/image-1.png 1648w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n<p>The PaMPA software, coupled with <a href=\"http:\/\/www.mmgtools.org\/\">MMG3D<\/a>, allowed one torefine of a 43\u00a0million elements mesh into a mesh comprising more than one billion\u00a0elements.<\/p>\n<\/div>\n<p>It took 20 minutes, on 280 Broadwell cores with 4GB of memory\u00a0each, to generate the remeshed mesh. The resulting mesh was used to run\u00a0one of the most accurate simulations ever computed using the LES\u00a0method, related to the study of combustion in a helicopter turbine\u00a0chamber, for Safran Helicopter Engines.<\/p>\n<p>These works were partly funded\u00a0by project ELCI (&#8220;Environnement Logiciel pour le Calcul Intensif&#8221;) of\u00a0the Programme d&#8217;Investissements d&#8217;Avenir.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The PaMPA software, coupled with MMG3D, allowed one torefine of a 43\u00a0million elements mesh into a mesh comprising more than one billion\u00a0elements. It took 20 minutes, on 280 Broadwell cores with 4GB of memory\u00a0each, to generate the remeshed mesh. The resulting mesh was used to run\u00a0one of the most accurate\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/pampa\/mesh-safran\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":547,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_members_access_role":[],"_members_access_error":""},"categories":[6],"tags":[],"class_list":["post-175","post","type-post","status-publish","format-standard","hentry","category-scientific-challenge"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/pampa\/wp-json\/wp\/v2\/posts\/175","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/pampa\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/project.inria.fr\/pampa\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/pampa\/wp-json\/wp\/v2\/users\/547"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/pampa\/wp-json\/wp\/v2\/comments?post=175"}],"version-history":[{"count":1,"href":"https:\/\/project.inria.fr\/pampa\/wp-json\/wp\/v2\/posts\/175\/revisions"}],"predecessor-version":[{"id":176,"href":"https:\/\/project.inria.fr\/pampa\/wp-json\/wp\/v2\/posts\/175\/revisions\/176"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/pampa\/wp-json\/wp\/v2\/media?parent=175"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/project.inria.fr\/pampa\/wp-json\/wp\/v2\/categories?post=175"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/project.inria.fr\/pampa\/wp-json\/wp\/v2\/tags?post=175"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}