{"id":4734,"date":"2011-07-11T15:26:28","date_gmt":"2011-07-11T12:26:28","guid":{"rendered":"http:\/\/hgpu.org\/?p=4734"},"modified":"2011-07-11T15:26:28","modified_gmt":"2011-07-11T12:26:28","slug":"gpu-accelerated-mom-based-broadband-simulations-using-stoer-bulirsch-algorithm","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=4734","title":{"rendered":"GPU-accelerated MoM-based broadband simulations using Stoer-Bulirsch algorithm"},"content":{"rendered":"<p>This communication introduces a CUDA-enabled GPU accelerated technique for broadband analysis of arbitrary 3D conducting body-wire radiating\/scattering structure. The solution is based on the integral equation discretized by the method of moments (MoM) with the use of RWG-type basis functions. Wide-band data are generated from MoM simulation employing an adaptive frequency sampling of the observed quantity, and supported by implicit rational macromodelling via Stoer-Bulirsch algorithm. Numerical results are given for a helical antenna with a cylindrical cup reflector. The GPU-CUDA offers a speedup ratio nearly 9x over the CPU implementation.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This communication introduces a CUDA-enabled GPU accelerated technique for broadband analysis of arbitrary 3D conducting body-wire radiating\/scattering structure. The solution is based on the integral equation discretized by the method of moments (MoM) with the use of RWG-type basis functions. Wide-band data are generated from MoM simulation employing an adaptive frequency sampling of the observed [&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":[89,319,3],"tags":[14,1802,707,20],"class_list":["post-4734","post","type-post","status-publish","format-standard","hentry","category-nvidia-cuda","category-electrodynamics","category-paper","tag-cuda","tag-electrodynamics","tag-integral-equations","tag-nvidia"],"views":2272,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/4734","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=4734"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/4734\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4734"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4734"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4734"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}