{"id":7637,"date":"2012-05-25T16:36:47","date_gmt":"2012-05-25T13:36:47","guid":{"rendered":"http:\/\/hgpu.org\/?p=7637"},"modified":"2012-05-25T16:36:47","modified_gmt":"2012-05-25T13:36:47","slug":"accelerating-in-memory-graph-database-traversal-using-gpgpus","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=7637","title":{"rendered":"Accelerating In-Memory Graph Database traversal using GPGPUS"},"content":{"rendered":"<p>The paper aims to provide a comparitive analysis on the performance of in memory databases as opposed to a customised graph database written ground up whose joins(searches) are performed on a GPGPU. This is done primarily to serve as a proof of concept on how databases that are represented as graphs can benefit by fostering the raw parallell processing power of GPGPUS.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The paper aims to provide a comparitive analysis on the performance of in memory databases as opposed to a customised graph database written ground up whose joins(searches) are performed on a GPGPU. This is done primarily to serve as a proof of concept on how databases that are represented as graphs can benefit by fostering [&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":[11,89,3],"tags":[1782,14,667,20,176],"class_list":["post-7637","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-nvidia-cuda","category-paper","tag-computer-science","tag-cuda","tag-databases","tag-nvidia","tag-package"],"views":3129,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/7637","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=7637"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/7637\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=7637"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=7637"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=7637"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}