{"id":936,"date":"2010-10-27T15:11:32","date_gmt":"2010-10-27T15:11:32","guid":{"rendered":"http:\/\/hgpu.org\/?p=936"},"modified":"2010-10-27T15:11:32","modified_gmt":"2010-10-27T15:11:32","slug":"fast-calculation-of-helas-amplitudes-using-graphics-processing-unit-gpu","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=936","title":{"rendered":"Fast calculation of HELAS amplitudes using graphics processing unit (GPU)"},"content":{"rendered":"<p>We use the graphics processing unit (GPU) for fast calculations of helicity amplitudes of physics processes. As our first attempt, we compute $ubaruto n&#947;$ ($n=2$ to 8) processes in $pp$ collisions at $sqrts = 14$TeV by transferring the MadGraph generated HELAS amplitudes (FORTRAN) into newly developed HEGET (<b> H<\/b>ELAS <b> E<\/b>valuation with <b> G<\/b>PU <b> E<\/b>nhanced <b> T<\/b>echnology) codes written in CUDA, a C-platform developed by NVIDIA for general purpose computing on the GPU. Compared with the usual CPU programs, we obtain 40-150 times better performance on the GPU.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We use the graphics processing unit (GPU) for fast calculations of helicity amplitudes of physics processes. As our first attempt, we compute $ubaruto n&#947;$ ($n=2$ to 8) processes in $pp$ collisions at $sqrts = 14$TeV by transferring the MadGraph generated HELAS amplitudes (FORTRAN) into newly developed HEGET ( HELAS Evaluation with GPU Enhanced Technology) codes [&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":[89,3,12],"tags":[98,14,99,100,20,419,411,234,1783],"class_list":["post-936","post","type-post","status-publish","format-standard","hentry","category-nvidia-cuda","category-paper","category-physics","tag-computational-physics","tag-cuda","tag-high-energy-physics-experiment","tag-high-energy-physics-phenomenology","tag-nvidia","tag-nvidia-geforce-8800-m-gts","tag-nvidia-geforce-9800-gtx","tag-nvidia-geforce-gtx-280","tag-physics"],"views":2647,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/936","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=936"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/936\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=936"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=936"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=936"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}