{"id":6187,"date":"2011-11-07T00:33:48","date_gmt":"2011-11-06T22:33:48","guid":{"rendered":"http:\/\/hgpu.org\/?p=6187"},"modified":"2011-11-07T00:33:48","modified_gmt":"2011-11-06T22:33:48","slug":"fast-computation-of-dipole-radiation-in-stratified-background-using-graphics-processing-unit","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=6187","title":{"rendered":"Fast Computation of Dipole Radiation in Stratified Background Using Graphics Processing Unit"},"content":{"rendered":"<p>We present the GPUs computation acceleration for a very recurrent electromagnetic problem which is the calculation of the field radiated by electric dipoles in a multilayer structure (Green&#8217;s tensor in stratified background), based on the well-known Sommerfeld integrals. Using an optimized parallelization scheme, huge computation acceleration is obtained. Applications of such a work are very broad, especially for the modeling of stratified light emitting devices, or as a building block for the calculation of optical scattering by complex shape structures, when using methods as discrete dipole approximation (DDA) or method of moments (MoM) for example.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We present the GPUs computation acceleration for a very recurrent electromagnetic problem which is the calculation of the field radiated by electric dipoles in a multilayer structure (Green&#8217;s tensor in stratified background), based on the well-known Sommerfeld integrals. Using an optimized parallelization scheme, huge computation acceleration is obtained. Applications of such a work are very [&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":[36,89,319,3],"tags":[1787,14,1802,20,183],"class_list":["post-6187","post","type-post","status-publish","format-standard","hentry","category-algorithms","category-nvidia-cuda","category-electrodynamics","category-paper","tag-algorithms","tag-cuda","tag-electrodynamics","tag-nvidia","tag-nvidia-geforce-8800-gtx"],"views":2033,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6187","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=6187"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6187\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6187"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6187"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6187"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}