{"id":11507,"date":"2014-03-01T01:19:33","date_gmt":"2014-02-28T23:19:33","guid":{"rendered":"http:\/\/hgpu.org\/?p=11507"},"modified":"2014-03-01T01:19:33","modified_gmt":"2014-02-28T23:19:33","slug":"cpu-gpu-collaboration-for-output-quality-monitoring","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=11507","title":{"rendered":"CPU-GPU Collaboration for Output Quality Monitoring"},"content":{"rendered":"<p>In this paper, we proposed a new low overhead collaborative technique of output quality monitoring for approximate computing on GPUs. In this technique, the CPU is responsible for performing quality monitoring while the GPU executes approximate kernels. For two image processing applications, we showed that this technique outperforms previous quality monitoring techniques.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this paper, we proposed a new low overhead collaborative technique of output quality monitoring for approximate computing on GPUs. In this technique, the CPU is responsible for performing quality monitoring while the GPU executes approximate kernels. For two image processing applications, we showed that this technique outperforms previous quality monitoring techniques.<\/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":[89,33,90,3],"tags":[14,1786,20,1793],"class_list":["post-11507","post","type-post","status-publish","format-standard","hentry","category-nvidia-cuda","category-image-processing","category-opencl","category-paper","tag-cuda","tag-image-processing","tag-nvidia","tag-opencl"],"views":1962,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/11507","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=11507"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/11507\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=11507"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=11507"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=11507"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}