{"id":7741,"date":"2012-06-13T13:39:15","date_gmt":"2012-06-13T10:39:15","guid":{"rendered":"http:\/\/hgpu.org\/?p=7741"},"modified":"2012-06-13T13:39:15","modified_gmt":"2012-06-13T10:39:15","slug":"a-consumer-application-for-gpgpus-desktop-search","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=7741","title":{"rendered":"A Consumer Application for GPGPUs: Desktop Search"},"content":{"rendered":"<p>To date, the GPGPU approach has been mainly utilized for academic and scientific computing, for example, for genetic algorithms, image analysis, cryptography, or password cracking. Though video cards supporting GPGPU have become pervasive, there do not appear to be any applications utilizing GPGPU for a household user. In this paper, one consumer application for GPGPU is described: utilizing GPGPUs for Desktop Search. Though the implementation is somewhat rudimentary, it still demonstrates a sizable performance gain.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>To date, the GPGPU approach has been mainly utilized for academic and scientific computing, for example, for genetic algorithms, image analysis, cryptography, or password cracking. Though video cards supporting GPGPU have become pervasive, there do not appear to be any applications utilizing GPGPU for a household user. In this paper, one consumer application for GPGPU [&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":[11,90,3],"tags":[7,1194,1782,1793,441],"class_list":["post-7741","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-opencl","category-paper","tag-ati","tag-ati-radeon-hd-6870","tag-computer-science","tag-opencl","tag-search"],"views":2109,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/7741","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=7741"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/7741\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=7741"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=7741"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=7741"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}