{"id":2941,"date":"2011-02-22T14:02:42","date_gmt":"2011-02-22T14:02:42","guid":{"rendered":"http:\/\/hgpu.org\/?p=2941"},"modified":"2011-02-22T14:02:42","modified_gmt":"2011-02-22T14:02:42","slug":"production-floating-point-applications-on-fpgas","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=2941","title":{"rendered":"Production Floating Point Applications on FPGAs"},"content":{"rendered":"<p>While FPGAs have only one fifth the raw floating point capability of GPUs, other attributes allow them to be surprisingly competitive with respect to a number of critical floating point intensive applications. In the first part we review these FPGA attributes. The bulk of this extended abstract then provides an overview of efficient FPGA implementations of Molecular Dynamics, Molecular Docking, and Molecular Dynamics based on discrete event simulation.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>While FPGAs have only one fifth the raw floating point capability of GPUs, other attributes allow them to be surprisingly competitive with respect to a number of critical floating point intensive applications. In the first part we review these FPGA attributes. The bulk of this extended abstract then provides an overview of efficient FPGA implementations [&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":[66,11,89,3],"tags":[1790,1782,14,377,112,264,20,199],"class_list":["post-2941","post","type-post","status-publish","format-standard","hentry","category-chemistry","category-computer-science","category-nvidia-cuda","category-paper","tag-chemistry","tag-computer-science","tag-cuda","tag-fpga","tag-molecular-dynamics","tag-molecular-modeling","tag-nvidia","tag-tesla-c1060"],"views":2345,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/2941","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=2941"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/2941\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2941"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2941"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2941"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}