{"id":3574,"date":"2011-04-13T11:08:11","date_gmt":"2011-04-13T11:08:11","guid":{"rendered":"http:\/\/hgpu.org\/?p=3574"},"modified":"2011-04-13T11:08:11","modified_gmt":"2011-04-13T11:08:11","slug":"community-structure-discovery-algorithm-on-gpu-with-cuda","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=3574","title":{"rendered":"Community Structure Discovery algorithm on GPU with CUDA"},"content":{"rendered":"<p>The automatic search and community discovery in large and complex network has important practical application. It is difficult to be tradeoff in computing speed and clustering exactness. To improve clustering exactness have to decrease the time complexity. In this paper a novel single instruction Multiple Data architecture processors based on Newman algorithm is proposed. The simulation results show that the method works well.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The automatic search and community discovery in large and complex network has important practical application. It is difficult to be tradeoff in computing speed and clustering exactness. To improve clustering exactness have to decrease the time complexity. In this paper a novel single instruction Multiple Data architecture processors based on Newman algorithm is proposed. The [&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":[36,11,89,3],"tags":[1787,1782,14,475,20],"class_list":["post-3574","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-network-communications","tag-nvidia"],"views":2529,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/3574","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=3574"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/3574\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3574"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3574"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3574"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}