{"id":3055,"date":"2011-03-02T16:38:14","date_gmt":"2011-03-02T16:38:14","guid":{"rendered":"http:\/\/hgpu.org\/?p=3055"},"modified":"2011-04-08T12:45:01","modified_gmt":"2011-04-08T12:45:01","slug":"integrating-gpus-as-fast-co-processors-into-the-existing-parallel-fe-package-feast","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=3055","title":{"rendered":"Integrating GPUs as fast co-processors into the existing parallel FE package FEAST"},"content":{"rendered":"<p>We report on our experiences with integrating GPUs as fast, parallel floating-point coprocessors into the parallel FE package FEAST. Since a full re-implementation of such a package is not feasible, we identify the smoothing of an outer domain-decomposition multigrid solver as a natural entry-point for a minimally invasive integration of GPUs. We address the issue of limited computational precision with a mixed precision iterative refinement approach and present preliminary timing results on a commodity cluster enhanced with GPUs.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We report on our experiences with integrating GPUs as fast, parallel floating-point coprocessors into the parallel FE package FEAST. Since a full re-implementation of such a package is not feasible, we identify the smoothing of an outer domain-decomposition multigrid solver as a natural entry-point for a minimally invasive integration of GPUs. We address the issue [&hellip;]<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[104,3],"tags":[212,1795,20,432,176,550,551],"class_list":["post-3055","post","type-post","status-publish","format-standard","hentry","category-fluid-dynamics","category-paper","tag-finite-element-method","tag-fluid-dynamics","tag-nvidia","tag-nvidia-quadro-fx-1400","tag-package","tag-partial-differential-equations","tag-pdes"],"views":2030,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/3055","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/users\/351"}],"replies":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3055"}],"version-history":[{"count":1,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/3055\/revisions"}],"predecessor-version":[{"id":3513,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/3055\/revisions\/3513"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3055"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3055"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3055"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}