{"id":8435,"date":"2012-10-30T23:34:32","date_gmt":"2012-10-30T21:34:32","guid":{"rendered":"http:\/\/hgpu.org\/?p=8435"},"modified":"2012-10-30T23:34:32","modified_gmt":"2012-10-30T21:34:32","slug":"gpgpu-implementation-of-matrix-formalism-for-beam-dynamics-simulation","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=8435","title":{"rendered":"GPGPU Implementation of Matrix Formalism for Beam Dynamics Simulation"},"content":{"rendered":"<p>Matrix formalism is a map integration method for ODE solving. It allows to present solution of the system as sums and multiplications of 2-indexes numeric matrix. This approach can be easy implement in parallel codes. As the most natural for matrix operation GPU architecture has been chosen. The set of the methods for beam dynamics has been implemented. Particles and envelope dynamics are supported. The computing facilities are located in St. Petersburg State University and presented by the NVIDIA Tesla-based clusters.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Matrix formalism is a map integration method for ODE solving. It allows to present solution of the system as sums and multiplications of 2-indexes numeric matrix. This approach can be easy implement in parallel codes. As the most natural for matrix operation GPU architecture has been chosen. The set of the methods for beam dynamics [&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":[3,12],"tags":[20,923,922,1783,1035],"class_list":["post-8435","post","type-post","status-publish","format-standard","hentry","category-paper","category-physics","tag-nvidia","tag-odes","tag-ordinary-differential-equations","tag-physics","tag-tesla-s2050"],"views":2511,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/8435","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=8435"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/8435\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=8435"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=8435"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=8435"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}