{"id":10578,"date":"2013-09-23T23:01:01","date_gmt":"2013-09-23T20:01:01","guid":{"rendered":"http:\/\/hgpu.org\/?p=10578"},"modified":"2013-09-23T23:01:01","modified_gmt":"2013-09-23T20:01:01","slug":"performance-of-opencl","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=10578","title":{"rendered":"Performance of OpenCL"},"content":{"rendered":"<p>OpenCL is a relatively new standard that supports computation on a variety of parallel architectures. The author was unable to find reliable information about performance of OpenCL programs on CPU&#8217;s in comparison to traditional parallel processing standards like OpenMP. This paper describes the results of an experiment that tries to answer the following question: &quot;Which standard performs better on multi-core CPU: OpenMP or OpenCL?&quot;. The experiment involves analysis of the efficiency of a linear algebra algorithm implemented in OpenCL with different optimization methods and run on different hardware, and compared with the efficiency of the same algorithm implemented in OpenMP.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>OpenCL is a relatively new standard that supports computation on a variety of parallel architectures. The author was unable to find reliable information about performance of OpenCL programs on CPU&#8217;s in comparison to traditional parallel processing standards like OpenMP. This paper describes the results of an experiment that tries to answer the following question: &quot;Which [&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":[36,11,90,3],"tags":[1787,1782,37,20,671,1479,1793,1226],"class_list":["post-10578","post","type-post","status-publish","format-standard","hentry","category-algorithms","category-computer-science","category-opencl","category-paper","tag-algorithms","tag-computer-science","tag-linear-algebra","tag-nvidia","tag-nvidia-geforce-8500-gt","tag-nvidia-quadro-600","tag-opencl","tag-tesla-c2075"],"views":3615,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/10578","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=10578"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/10578\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=10578"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=10578"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=10578"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}