{"id":12243,"date":"2014-06-11T00:06:27","date_gmt":"2014-06-10T21:06:27","guid":{"rendered":"http:\/\/hgpu.org\/?p=12243"},"modified":"2014-06-11T00:06:27","modified_gmt":"2014-06-10T21:06:27","slug":"intersecting-two-families-of-sets-on-the-gpu","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=12243","title":{"rendered":"Intersecting two families of sets on the GPU"},"content":{"rendered":"<p>The problem of intersecting two families of sets F and F&#8217; is to find the family I of all the sets which are the intersection of some set in F and some other set in F&#8217;. In this paper we present an efficient parallel GPU-based approach, designed under CUDA architecture, to solve the problem. The complexity analysis of the presented algorithms together with experimental results obtained with their implementation are also provided.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The problem of intersecting two families of sets F and F&#8217; is to find the family I of all the sets which are the intersection of some set in F and some other set in F&#8217;. In this paper we present an efficient parallel GPU-based approach, designed under CUDA architecture, to solve the problem. The [&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":[36,11,89,3],"tags":[1787,1782,14,20,379],"class_list":["post-12243","post","type-post","status-publish","format-standard","hentry","category-algorithms","category-computer-science","category-nvidia-cuda","category-paper","tag-algorithms","tag-computer-science","tag-cuda","tag-nvidia","tag-nvidia-geforce-gtx-480"],"views":1758,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/12243","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=12243"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/12243\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=12243"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=12243"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=12243"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}