{"id":15067,"date":"2015-12-08T23:45:07","date_gmt":"2015-12-08T21:45:07","guid":{"rendered":"http:\/\/hgpu.org\/?p=15067"},"modified":"2015-12-08T23:45:07","modified_gmt":"2015-12-08T21:45:07","slug":"towards-memory-efficient-answering-of-tree-shaped-sparql-queries-using-gpus","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=15067","title":{"rendered":"Towards Memory-Efficient Answering of Tree-Shaped SPARQL Queries using GPUs"},"content":{"rendered":"<p>We present an idea of efficient query answering over an RDF dataset employing a consumer-grade graphic card for an efficient computation. We consider tree-shaped SPARQL queries and static datasets, to facilitate data mining over RDF graphs in warehouse-like setups. Reasons to see the poster: a) presentation of the approach with examples; b) possibility of discussion about the implementation details.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We present an idea of efficient query answering over an RDF dataset employing a consumer-grade graphic card for an efficient computation. We consider tree-shaped SPARQL queries and static datasets, to facilitate data mining over RDF graphs in warehouse-like setups. Reasons to see the poster: a) presentation of the approach with examples; b) possibility of discussion [&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":[11,90,3],"tags":[1782,348,667,1793,176],"class_list":["post-15067","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-opencl","category-paper","tag-computer-science","tag-data-mining","tag-databases","tag-opencl","tag-package"],"views":3111,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/15067","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=15067"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/15067\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=15067"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=15067"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=15067"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}