{"id":3919,"date":"2011-05-14T09:37:06","date_gmt":"2011-05-14T09:37:06","guid":{"rendered":"http:\/\/hgpu.org\/?p=3919"},"modified":"2011-05-14T09:37:06","modified_gmt":"2011-05-14T09:37:06","slug":"performance-and-power-consumption-investigation-for-execution-of-integer-operations-on-cpu-and-gpu-processors-for-multimedia-applications","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=3919","title":{"rendered":"Performance and power consumption investigation for execution of integer operations on CPU and GPU processors for multimedia applications"},"content":{"rendered":"<p>The use of Graphics Processing Units (GPUs) in general purpose computing has been shown to incur significant performance benefits, for applications ranging from scientific computing to database sorting and search. In this paper we try to evaluate the execution of integer arithmetic operation on CPU and GPU processors. We evaluate the execution from both performance and power consumption perspectives.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The use of Graphics Processing Units (GPUs) in general purpose computing has been shown to incur significant performance benefits, for applications ranging from scientific computing to database sorting and search. In this paper we try to evaluate the execution of integer arithmetic operation on CPU and GPU processors. We evaluate the execution from both performance [&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":[11,3],"tags":[1782,344,67],"class_list":["post-3919","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-paper","tag-computer-science","tag-energy-efficient-computing","tag-performance"],"views":1909,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/3919","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=3919"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/3919\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3919"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3919"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3919"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}