{"id":10786,"date":"2013-10-24T23:59:44","date_gmt":"2013-10-24T20:59:44","guid":{"rendered":"http:\/\/hgpu.org\/?p=10786"},"modified":"2013-10-24T23:59:44","modified_gmt":"2013-10-24T20:59:44","slug":"parallel-gpu-algorithms-for-alternate-triangular-finite-difference-schemes","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=10786","title":{"rendered":"Parallel GPU algorithms for alternate-triangular finite difference schemes"},"content":{"rendered":"<p>Parallel algorithms for modern high performance computing systems are required for fast modelling of high dimensional convection-diffusion processes in air. Such algorithms, designed for alternate-triangular finite difference splitting schemes applied to convection-diffusion equation, have been considered. An algorithm for single GPU systems and an algorithm for clusters with graphical processors has been described, algorithms&#8217; performance theoretical estimations has been given and results of their testing on SKIT-4 cluster of Institute of Cybernetics has been presented. Obtained testing results about developed algorithms&#8217; performance with sufficient accuracy agree with theoretical estimations.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Parallel algorithms for modern high performance computing systems are required for fast modelling of high dimensional convection-diffusion processes in air. Such algorithms, designed for alternate-triangular finite difference splitting schemes applied to convection-diffusion equation, have been considered. An algorithm for single GPU systems and an algorithm for clusters with graphical processors has been described, algorithms&#8217; performance [&hellip;]<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"closed","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":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[36,11,90,3],"tags":[1787,1782,547,327,20,1793,680,1341],"class_list":["post-10786","post","type-post","status-publish","format-standard","hentry","category-algorithms","category-computer-science","category-opencl","category-paper","tag-algorithms","tag-computer-science","tag-diffusion-equation","tag-finite-difference","tag-nvidia","tag-opencl","tag-openmpi","tag-tesla-m2075"],"views":2405,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/10786","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=10786"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/10786\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=10786"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=10786"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=10786"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}