{"id":5934,"date":"2011-10-18T13:28:03","date_gmt":"2011-10-18T10:28:03","guid":{"rendered":"http:\/\/hgpu.org\/?p=5934"},"modified":"2011-10-18T13:28:03","modified_gmt":"2011-10-18T10:28:03","slug":"fast-n-body-simulations-on-gpus","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=5934","title":{"rendered":"Fast N-body Simulations on GPUs"},"content":{"rendered":"<p>With the current hybridization of treecodes and FMMs, combined with auto-tuning capabilities on heterogeneous architectures, the flexibility of fast N-body methods has been greatly enhanced. These features are a requirement to developing a black- box software library for fast N-body algorithms on heterogeneous systems, which is our immediate goal.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>With the current hybridization of treecodes and FMMs, combined with auto-tuning capabilities on heterogeneous architectures, the flexibility of fast N-body methods has been greatly enhanced. These features are a requirement to developing a black- box software library for fast N-body algorithms on heterogeneous systems, which is our immediate goal.<\/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":[36,96,11,89,3],"tags":[1787,1794,1782,14,723,452,597,258,628,20,378,931],"class_list":["post-5934","post","type-post","status-publish","format-standard","hentry","category-algorithms","category-astrophysics","category-computer-science","category-nvidia-cuda","category-paper","tag-algorithms","tag-astrophysics","tag-computer-science","tag-cuda","tag-fast-multipole-method","tag-heterogeneous-systems","tag-mathematical-software","tag-n-body-simulation","tag-numerical-analysis","tag-nvidia","tag-tesla-c2050","tag-tesla-m2050"],"views":1987,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/5934","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=5934"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/5934\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5934"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=5934"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=5934"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}