{"id":6195,"date":"2011-11-07T19:02:30","date_gmt":"2011-11-07T17:02:30","guid":{"rendered":"http:\/\/hgpu.org\/?p=6195"},"modified":"2011-11-07T19:02:30","modified_gmt":"2011-11-07T17:02:30","slug":"gpuinspiral-a-low-latency-high-performance-implementation-of-the-matched-filter-gravitational-wave-search-algorithm","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=6195","title":{"rendered":"GPUinspiral &#8211; a low-latency, high-performance implementation of the matched-filter gravitational wave search algorithm"},"content":{"rendered":"<p>A very high performance search pipeline has been developed for the search for gravitational wave signals originating from coalescing compact binary systems in the M&lt;35 MSUN mass range. The goal of this research is to provide a solution to some of the so far computationally unfeasible data analysis methods such as for example the filtering of complete generic double spinning, precessing template banks using the matched-template filtering method, or the filtering of far much longer templates necessary to be used with the advanced gravitational wave detectors. In contrary to previous attempts [1] this implementation allows one to execute the entire analysis algorithms on many-core architectures such as GPUs, and not only a fraction of it which results in a drammatic acceleration of the search algorithm. In a typical inspiral pipeline the a speed-up of 92-fold has been achived using a Tesla C2050 GPU card respect to the reference compared with one core of 3.0 GHz AMD CPU. The features and the current performance of this pipeline are presented.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A very high performance search pipeline has been developed for the search for gravitational wave signals originating from coalescing compact binary systems in the M&lt;35 MSUN mass range. The goal of this research is to provide a solution to some of the so far computationally unfeasible data analysis methods such as for example the filtering [&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":[36,96,90,3],"tags":[1787,1794,7,645,841,256,20,436,1793,176,378],"class_list":["post-6195","post","type-post","status-publish","format-standard","hentry","category-algorithms","category-astrophysics","category-opencl","category-paper","tag-algorithms","tag-astrophysics","tag-ati","tag-ati-radeon-hd-5970","tag-filtering","tag-gravitation","tag-nvidia","tag-nvidia-geforce-gtx-295","tag-opencl","tag-package","tag-tesla-c2050"],"views":2096,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6195","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=6195"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6195\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6195"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6195"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6195"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}