{"id":3410,"date":"2011-03-31T19:40:57","date_gmt":"2011-03-31T19:40:57","guid":{"rendered":"http:\/\/hgpu.org\/?p=3410"},"modified":"2011-03-31T19:40:57","modified_gmt":"2011-03-31T19:40:57","slug":"evaluation-framework-for-gpu-performance-based-on-opencl-standard","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=3410","title":{"rendered":"Evaluation Framework for GPU Performance Based on OpenCL Standard"},"content":{"rendered":"<p>There are many projects focused on performance measurements of GPUs but there is no unifying test framework that could be used for evaluating generic floating point intensive applications. This work describes the testing suite for evaluating GPUs that measures raw performance and numerical precision of a subset of OpenCL operations, and analyzes results obtained from several commonly available high-end GPUs.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>There are many projects focused on performance measurements of GPUs but there is no unifying test framework that could be used for evaluating generic floating point intensive applications. This work describes the testing suite for evaluating GPUs that measures raw performance and numerical precision of a subset of OpenCL operations, and analyzes results obtained from [&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":[7,1782,106,20,1793,67],"class_list":["post-3410","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-opencl","category-paper","tag-ati","tag-computer-science","tag-gpu-cluster","tag-nvidia","tag-opencl","tag-performance"],"views":1832,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/3410","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=3410"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/3410\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3410"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3410"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3410"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}