{"id":8248,"date":"2012-09-22T16:20:43","date_gmt":"2012-09-22T13:20:43","guid":{"rendered":"http:\/\/hgpu.org\/?p=8248"},"modified":"2012-09-22T16:20:43","modified_gmt":"2012-09-22T13:20:43","slug":"modification-of-self-organizing-migration-algorithm-for-opencl-framework","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=8248","title":{"rendered":"Modification of self-organizing migration algorithm for OpenCL framework"},"content":{"rendered":"<p>This paper deals with modification of self-organizing migration algorithm using the OpenCL framework. This modification allows the algorithm to exploit modern parallel devices, like central processing units and graphics processing units. The main aim was to create algorithm which shows significant speedup when compared to sequential variant. Second aim was to create the algorithm robust and portable to allow its execution on a range of different devices. Results of tests presented in this paper show that both aims were successfully fulfilled.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This paper deals with modification of self-organizing migration algorithm using the OpenCL framework. This modification allows the algorithm to exploit modern parallel devices, like central processing units and graphics processing units. The main aim was to create algorithm which shows significant speedup when compared to sequential variant. Second aim was to create the algorithm robust [&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":[36,11,90,3],"tags":[1787,7,1354,1782,20,1793,298,1226],"class_list":["post-8248","post","type-post","status-publish","format-standard","hentry","category-algorithms","category-computer-science","category-opencl","category-paper","tag-algorithms","tag-ati","tag-ati-radeon-hd-7850","tag-computer-science","tag-nvidia","tag-opencl","tag-optimization","tag-tesla-c2075"],"views":34778,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/8248","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=8248"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/8248\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=8248"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=8248"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=8248"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}