{"id":11651,"date":"2014-03-15T01:23:30","date_gmt":"2014-03-14T23:23:30","guid":{"rendered":"http:\/\/hgpu.org\/?p=11651"},"modified":"2014-03-15T01:23:30","modified_gmt":"2014-03-14T23:23:30","slug":"multi-gpu-cluster-wave-propagation-and-opengl-visualization","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=11651","title":{"rendered":"Multi-GPU cluster wave propagation and OpenGL visualization"},"content":{"rendered":"<p>The inherent issues of properly deploying finite difference calculations onto GPUs are described and solutions are suggested. A speedup of 60x is achieved over the CPU version. Four visualization methods were implemented using OpenGL and compared in terms of the clarity of their visual result. A combination of hedgehogs and slices was deemed to give the best result.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The inherent issues of properly deploying finite difference calculations onto GPUs are described and solutions are suggested. A speedup of 60x is achieved over the CPU version. Four visualization methods were implemented using OpenGL and compared in terms of the clarity of their visual result. A combination of hedgehogs and slices was deemed to give [&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":[11,89,3],"tags":[1782,14,327,106,20,974,1394,182,134],"class_list":["post-11651","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-nvidia-cuda","category-paper","tag-computer-science","tag-cuda","tag-finite-difference","tag-gpu-cluster","tag-nvidia","tag-nvidia-geforce-gtx-580","tag-nvidia-geforce-gtx-670","tag-opengl","tag-visualization"],"views":2200,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/11651","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=11651"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/11651\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=11651"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=11651"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=11651"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}