{"id":8637,"date":"2012-12-12T00:05:11","date_gmt":"2012-12-11T22:05:11","guid":{"rendered":"http:\/\/hgpu.org\/?p=8637"},"modified":"2012-12-12T00:05:11","modified_gmt":"2012-12-11T22:05:11","slug":"matrix-matrix-multiplications-on-gpus-for-accelerating-a-parallel-fluid-dynamics-code","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=8637","title":{"rendered":"Matrix-Matrix Multiplications on GPUs for Accelerating a Parallel Fluid Dynamics Code"},"content":{"rendered":"<p>A few approaches are investigated of matrix-matrix multiplication on graphics processing units (GPUs). Aspects of memory management and GPU saturation are described and discussed. The focus of this paper is to offload matrix-matrix multiplications to a GPU in an HPC setting for the purpose of accelerating a parallel fluid dynamics code.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A few approaches are investigated of matrix-matrix multiplication on graphics processing units (GPUs). Aspects of memory management and GPU saturation are described and discussed. The focus of this paper is to offload matrix-matrix multiplications to a GPU in an HPC setting for the purpose of accelerating a parallel fluid dynamics code.<\/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":[238,14,1795,324,20,1017,390],"class_list":["post-8637","post","type-post","status-publish","format-standard","hentry","category-nvidia-cuda","category-fluid-dynamics","category-paper","tag-cublas","tag-cuda","tag-fluid-dynamics","tag-matrix-multiplication","tag-nvidia","tag-tesla-m2070","tag-thesis"],"views":2304,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/8637","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=8637"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/8637\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=8637"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=8637"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=8637"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}