{"id":12397,"date":"2014-06-28T13:25:39","date_gmt":"2014-06-28T10:25:39","guid":{"rendered":"http:\/\/hgpu.org\/?p=12397"},"modified":"2014-06-28T13:25:39","modified_gmt":"2014-06-28T10:25:39","slug":"modified-bloom-filter-for-high-performance-hybrid-nosql-systems","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=12397","title":{"rendered":"Modified Bloom filter for high performance hybrid NoSQL systems"},"content":{"rendered":"<p>This article addresses problems of implementation of a modified Bloom filter as an additional module for mass data storage systems in supercomputers with hybrid CPU\/GPU architecture. It is proposed to use a modified filter with counters, which makes it possible to monitor not only data addition, but also data removal. A comparative analysis has been made of a serial CPU version and a hybrid version of the Bloom filter based on use of NVIDIA CUDA technology.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This article addresses problems of implementation of a modified Bloom filter as an additional module for mass data storage systems in supercomputers with hybrid CPU\/GPU architecture. It is proposed to use a modified filter with counters, which makes it possible to monitor not only data addition, but also data removal. A comparative analysis has been [&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":[11,89,3],"tags":[177,1782,14,132,20,253],"class_list":["post-12397","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-nvidia-cuda","category-paper","tag-bloom-filter","tag-computer-science","tag-cuda","tag-hashing","tag-nvidia","tag-nvidia-geforce-gtx-260"],"views":2750,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/12397","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=12397"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/12397\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=12397"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=12397"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=12397"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}