{"id":6444,"date":"2011-12-01T14:25:55","date_gmt":"2011-12-01T12:25:55","guid":{"rendered":"http:\/\/hgpu.org\/?p=6444"},"modified":"2011-12-01T14:25:55","modified_gmt":"2011-12-01T12:25:55","slug":"numerical-investigations-on-nonlinear-nonparaxial-beam-propagation-using-graphics-processing-units","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=6444","title":{"rendered":"Numerical investigations on nonlinear nonparaxial beam propagation using graphics processing units"},"content":{"rendered":"<p>We study the performance of a nonparaxial beam propagation method accelerated using massively parallel computation in graphic processing units.  The implementation is tested in two different NVIDIA hardware architectures, Tesla and Fermi, and the results are compared with a CPU-based parallel implementation using Open MPI.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We study the performance of a nonparaxial beam propagation method accelerated using massively parallel computation in graphic processing units. The implementation is tested in two different NVIDIA hardware architectures, Tesla and Fermi, and the results are compared with a CPU-based parallel implementation using Open MPI.<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_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},"jetpack_post_was_ever_published":false},"categories":[89,3,12],"tags":[14,20,379,680,321,1783,199],"class_list":["post-6444","post","type-post","status-publish","format-standard","hentry","category-nvidia-cuda","category-paper","category-physics","tag-cuda","tag-nvidia","tag-nvidia-geforce-gtx-480","tag-openmpi","tag-optics","tag-physics","tag-tesla-c1060"],"views":2118,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6444","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=6444"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6444\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6444"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6444"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6444"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}