{"id":6442,"date":"2011-11-30T16:26:56","date_gmt":"2011-11-30T14:26:56","guid":{"rendered":"http:\/\/hgpu.org\/?p=6442"},"modified":"2011-11-30T16:26:56","modified_gmt":"2011-11-30T14:26:56","slug":"support-operator-rupture-dynamics-on-gpu","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=6442","title":{"rendered":"Support Operator Rupture Dynamics on GPU"},"content":{"rendered":"<p>The method of Support Operator (SOM) is a numerical method to simulate seismic wave propagation by solving the three dimension vsicoelastic equations. Its implementation, the Support Operator Rupture Dynamics (SORD) has been proved to be highly scalable in large-scale multi-processors calulations. This paper discusses accelarating SORD using on GPU using NVIDIA CUDA C. Compared to its original version on CPU, we have acrhieved a maximum 12.8X speed-up.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The method of Support Operator (SOM) is a numerical method to simulate seismic wave propagation by solving the three dimension vsicoelastic equations. Its implementation, the Support Operator Rupture Dynamics (SORD) has been proved to be highly scalable in large-scale multi-processors calulations. This paper discusses accelarating SORD using on GPU using NVIDIA CUDA C. Compared to [&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":[89,303,3],"tags":[14,1801,20,856,199],"class_list":["post-6442","post","type-post","status-publish","format-standard","hentry","category-nvidia-cuda","category-earth-and-space-sciences","category-paper","tag-cuda","tag-earth-and-space-sciences","tag-nvidia","tag-seismology","tag-tesla-c1060"],"views":1784,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6442","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=6442"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6442\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6442"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6442"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6442"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}