

{"id":119,"date":"2017-05-18T17:56:44","date_gmt":"2017-05-18T15:56:44","guid":{"rendered":"https:\/\/project.inria.fr\/pampa\/?p=119"},"modified":"2017-05-18T17:58:16","modified_gmt":"2017-05-18T15:58:16","slug":"release-v2-0-0","status":"publish","type":"post","link":"https:\/\/project.inria.fr\/pampa\/release-v2-0-0\/","title":{"rendered":"Release v2.0.0"},"content":{"rendered":"<p>Dear all,<\/p>\n<p>Release v2.0.0 of the PaMPA software is now available.<\/p>\n<p>PaMPA is a software library for handling unstructured meshes in parallel, on distributed memory architectures. PaMPA speeds-up and eases the writing of scientific solvers that implement compact schemes and models, by providing abstractions of mesh entities (e.g. elements, faces, edges, nodes, etc.) and their interrelations.<\/p>\n<p>The core library of PaMPA 2.0.0 (PaMPA-Core) is freely downloadable from <a href=\"https:\/\/gitlab.inria.fr\/PaMPA\/PaMPA-Core\">https:\/\/gitlab.inria.fr\/PaMPA\/PaMPA-Core<\/a>, under the GPL licence.<\/p>\n<p>The parallel remeshing extension module of PaMPA 2.0.0 (PaMPA-Remesh) is available at no cost under a proprietary, evaluation licence valid for 30 days. Please contact us in order to benefit from this offer.<\/p>\n<p>PaMPA-Remesh runs concurrently multiple sequential remeshing tasks to perform dynamic parallel remeshing and redistribution of very large unstructured meshes. E.g., it can remesh a tetrahedral mesh from 200 million elements to 1 billion elements in 10 minutes on 120 Broadwell procs, using the <a  href=\"http:\/\/www.mmgtools.org\">Mmg<\/a> sequential tetrahedral remesh.<br \/>\nThis final mesh was used for an industrial simulation.<\/p>\n<p>Regards,<br \/>\nC\u00e9dric Lachat &#038; Fran\u00e7ois Pellegrini.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Dear all, Release v2.0.0 of the PaMPA software is now available. PaMPA is a software library for handling unstructured meshes in parallel, on distributed memory architectures. PaMPA speeds-up and eases the writing of scientific solvers that implement compact schemes and models, by providing abstractions of mesh entities (e.g. elements, faces,\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/pampa\/release-v2-0-0\/\"><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":""},"categories":[5],"tags":[],"class_list":["post-119","post","type-post","status-publish","format-standard","hentry","category-releases"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/pampa\/wp-json\/wp\/v2\/posts\/119","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=119"}],"version-history":[{"count":2,"href":"https:\/\/project.inria.fr\/pampa\/wp-json\/wp\/v2\/posts\/119\/revisions"}],"predecessor-version":[{"id":121,"href":"https:\/\/project.inria.fr\/pampa\/wp-json\/wp\/v2\/posts\/119\/revisions\/121"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/pampa\/wp-json\/wp\/v2\/media?parent=119"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/project.inria.fr\/pampa\/wp-json\/wp\/v2\/categories?post=119"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/project.inria.fr\/pampa\/wp-json\/wp\/v2\/tags?post=119"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}