{"id":4891,"date":"2011-07-26T23:56:48","date_gmt":"2011-07-26T20:56:48","guid":{"rendered":"http:\/\/hgpu.org\/?p=4891"},"modified":"2011-07-26T23:56:48","modified_gmt":"2011-07-26T20:56:48","slug":"discontinuous-galerkin-time-domain-for-maxwells-equations-on-gpus","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=4891","title":{"rendered":"Discontinuous Galerkin Time Domain for Maxwell&#8217;s equations on GPUs"},"content":{"rendered":"<p>In this paper, we discuss our approach on the GPU implementation of the Discontinuous Galerkin Time-Domain (DGTD) method to solve the time dependent Maxwell&#8217;s equations. We exploit the inherent DGTD parallelism and combine the GPU computing capabilities with the benefits of a local time-stepping strategy. The combination results in significant increase in efficiency and reduction of the computational time, especially for multi-scale applications.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this paper, we discuss our approach on the GPU implementation of the Discontinuous Galerkin Time-Domain (DGTD) method to solve the time dependent Maxwell&#8217;s equations. We exploit the inherent DGTD parallelism and combine the GPU computing capabilities with the benefits of a local time-stepping strategy. The combination results in significant increase in efficiency and reduction [&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":[319,3],"tags":[1802,630],"class_list":["post-4891","post","type-post","status-publish","format-standard","hentry","category-electrodynamics","category-paper","tag-electrodynamics","tag-maxwells-equations"],"views":2493,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/4891","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=4891"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/4891\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4891"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4891"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4891"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}