{"id":3497,"date":"2011-04-08T12:00:24","date_gmt":"2011-04-08T12:00:24","guid":{"rendered":"http:\/\/hgpu.org\/?p=3497"},"modified":"2011-04-08T12:00:24","modified_gmt":"2011-04-08T12:00:24","slug":"a-comparative-study-on-asic-fpgas-gpus-and-general-purpose-processors-in-the-on2-gravitational-n-body-simulation","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=3497","title":{"rendered":"A Comparative Study on ASIC, FPGAs, GPUs and General Purpose Processors in the O(N^2) Gravitational N-body Simulation"},"content":{"rendered":"<p>In this paper, we describe the implementation of gravitational force calculation for N-body simulations in the context of astrophysics. It will describe high performance implementations on general purpose processors, GPUs, and FPGAs, and compare them using a number of criteria including speed performance, power efficiency and cost of development. These results show that, for gravitational force calculation and many-body simulations in general, GPUs are very competitive in terms of performance and performance per dollar figures, whereas FPGAs are competitive in terms of performance per Watt figures.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this paper, we describe the implementation of gravitational force calculation for N-body simulations in the context of astrophysics. It will describe high performance implementations on general purpose processors, GPUs, and FPGAs, and compare them using a number of criteria including speed performance, power efficiency and cost of development. These results show that, for gravitational [&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":[96,3,12],"tags":[1794,803,377,258,20,183,311,1783],"class_list":["post-3497","post","type-post","status-publish","format-standard","hentry","category-astrophysics","category-paper","category-physics","tag-astrophysics","tag-cosmology","tag-fpga","tag-n-body-simulation","tag-nvidia","tag-nvidia-geforce-8800-gtx","tag-nvidia-geforce-9800-gx2","tag-physics"],"views":2515,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/3497","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=3497"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/3497\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3497"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3497"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3497"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}