{"id":12066,"date":"2014-05-16T09:58:52","date_gmt":"2014-05-16T06:58:52","guid":{"rendered":"http:\/\/hgpu.org\/?p=12066"},"modified":"2014-05-16T09:58:52","modified_gmt":"2014-05-16T06:58:52","slug":"hybrid-use-of-ompss-for-a-shock-hydrodynamics-proxy-application","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=12066","title":{"rendered":"Hybrid Use of OmpSs for a Shock Hydrodynamics Proxy Application"},"content":{"rendered":"<p>The LULESH proxy application models the behavior of the ALE3D multi-physics code with an explicit shock hydrodynamics problem, and is made in order to evaluate interactions between programming models and architectures, using a representative code significantly less complex than the application it models. As identified in the PRACE deliverable D7.2.1 [1], the OmpSs programming model specifically targets programming at the exascale, and this whitepaper investigates the effectiveness of its support for development on hybrid architectures.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The LULESH proxy application models the behavior of the ALE3D multi-physics code with an explicit shock hydrodynamics problem, and is made in order to evaluate interactions between programming models and architectures, using a representative code significantly less complex than the application it models. As identified in the PRACE deliverable D7.2.1 [1], the OmpSs programming model [&hellip;]<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"closed","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":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[89,104,3,12],"tags":[14,1795,20,1783,1390],"class_list":["post-12066","post","type-post","status-publish","format-standard","hentry","category-nvidia-cuda","category-fluid-dynamics","category-paper","category-physics","tag-cuda","tag-fluid-dynamics","tag-nvidia","tag-physics","tag-tesla-k20"],"views":2044,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/12066","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=12066"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/12066\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=12066"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=12066"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=12066"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}