{"id":6926,"date":"2012-01-14T16:30:24","date_gmt":"2012-01-14T14:30:24","guid":{"rendered":"http:\/\/hgpu.org\/?p=6926"},"modified":"2012-01-14T16:30:24","modified_gmt":"2012-01-14T14:30:24","slug":"graphics-processor-clusters-for-high-speed-backpropagation","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=6926","title":{"rendered":"Graphics Processor Clusters for High Speed Backpropagation"},"content":{"rendered":"<p>This paper describes the use of GPU clusters to accelerate backpropagation for Synthetic Aperture Sonar (SAS) systems. We extended a GPU-based implementation of backpropagation to support clusters of GPU-enhanced nodes. The GPU accelerated implementation formed a 3,936 x 3,936 SAS image from 60s of sonar data in under 12s using a single GTX480, and under 3s on a small cluster with 8 Tesla C2050s. Our presentation will discuss the details of our implementation, describe our optimizations, and show performance for various image sizes and execution platforms.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This paper describes the use of GPU clusters to accelerate backpropagation for Synthetic Aperture Sonar (SAS) systems. We extended a GPU-based implementation of backpropagation to support clusters of GPU-enhanced nodes. The GPU accelerated implementation formed a 3,936 x 3,936 SAS image from 60s of sonar data in under 12s using a single GTX480, and under [&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":[89,3,41],"tags":[14,106,20,379,298,1789,378],"class_list":["post-6926","post","type-post","status-publish","format-standard","hentry","category-nvidia-cuda","category-paper","category-signal-processing","tag-cuda","tag-gpu-cluster","tag-nvidia","tag-nvidia-geforce-gtx-480","tag-optimization","tag-signal-processing","tag-tesla-c2050"],"views":1913,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6926","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=6926"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6926\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6926"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6926"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6926"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}