{"id":7014,"date":"2012-01-23T17:40:42","date_gmt":"2012-01-23T15:40:42","guid":{"rendered":"http:\/\/hgpu.org\/?p=7014"},"modified":"2012-01-23T17:40:42","modified_gmt":"2012-01-23T15:40:42","slug":"accelerating-beam-dynamics-simulations-with-gpus","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=7014","title":{"rendered":"Accelerating Beam Dynamics Simulations with GPUs"},"content":{"rendered":"<p>We present recent results of prototyping general-purpose particle tracking on GPUs and discuss our CUDA implementation of transfer maps for single-particle dynamics and collective effects. The objective of this work being incorporation of the GPU-accelerated tracking into ANL&#8217;s accelerator code ELEGANT [1], we used the code&#8217;s quadrupole and drift-with-LSC elements as test cases, achieving 80x and 36x speedups over CPU implementations, respectively. We discuss quadrupole kernel optimizations, as well as data-parallel and hardware-assisted approaches to avoiding thread contention at the charge deposition stage of algorithms for modeling collective effects.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We present recent results of prototyping general-purpose particle tracking on GPUs and discuss our CUDA implementation of transfer maps for single-particle dynamics and collective effects. The objective of this work being incorporation of the GPU-accelerated tracking into ANL&#8217;s accelerator code ELEGANT [1], we used the code&#8217;s quadrupole and drift-with-LSC elements as test cases, achieving 80x [&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":[36,89,3,12],"tags":[1787,14,99,20,298,1783,1006],"class_list":["post-7014","post","type-post","status-publish","format-standard","hentry","category-algorithms","category-nvidia-cuda","category-paper","category-physics","tag-algorithms","tag-cuda","tag-high-energy-physics-experiment","tag-nvidia","tag-optimization","tag-physics","tag-tesla-c2070"],"views":1958,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/7014","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=7014"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/7014\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=7014"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=7014"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=7014"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}