{"id":6275,"date":"2011-11-14T14:12:15","date_gmt":"2011-11-14T12:12:15","guid":{"rendered":"http:\/\/hgpu.org\/?p=6275"},"modified":"2011-11-14T14:12:15","modified_gmt":"2011-11-14T12:12:15","slug":"solving-incompressible-two-phase-flows-on-massively-parallel-multi-gpu-clusters","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=6275","title":{"rendered":"Solving Incompressible Two-Phase Flows on Massively Parallel Multi-GPU Clusters"},"content":{"rendered":"<p>We present a fully multi-GPU-based double-precision solver for the three-dimensional two-phase incompressible Navier-Stokes equations. An in-depth performance analysis shows a realistic speed-up of the order of three by comparing equally priced GPUs and CPUs and more than a doubling in energy efficiency for GPUs. We observe profound strong and weak scaling on a multi-GPU cluster.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We present a fully multi-GPU-based double-precision solver for the three-dimensional two-phase incompressible Navier-Stokes equations. An in-depth performance analysis shows a realistic speed-up of the order of three by comparing equally priced GPUs and CPUs and more than a doubling in energy efficiency for GPUs. We observe profound strong and weak scaling on a multi-GPU cluster.<\/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":[89,104,3],"tags":[832,14,327,1795,106,122,120,20,913,244],"class_list":["post-6275","post","type-post","status-publish","format-standard","hentry","category-nvidia-cuda","category-fluid-dynamics","category-paper","tag-compression","tag-cuda","tag-finite-difference","tag-fluid-dynamics","tag-gpu-cluster","tag-navier-stokes-equations","tag-nses","tag-nvidia","tag-tesla-m1060","tag-tesla-s1070"],"views":2287,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6275","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=6275"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6275\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6275"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6275"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6275"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}