{"id":11994,"date":"2014-05-07T00:23:26","date_gmt":"2014-05-06T21:23:26","guid":{"rendered":"http:\/\/hgpu.org\/?p=11994"},"modified":"2014-05-07T00:29:34","modified_gmt":"2014-05-06T21:29:34","slug":"parallel-solving-massive-linear-equations-with-cuda","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=11994","title":{"rendered":"Parallel Solving Massive Linear Equations with CUDA"},"content":{"rendered":"<p>By consulting the state-of-the-art methods on massive linear equations solving and parallel computing, the main issue of calculation have been extracted from finite element method. The author test some solving routines on the CPU based as well as design and implement on GPU by using CUDA. The coalesced access result on GPU shows a ten times faster than the naive method.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>By consulting the state-of-the-art methods on massive linear equations solving and parallel computing, the main issue of calculation have been extracted from finite element method. The author test some solving routines on the CPU based as well as design and implement on GPU by using CUDA. The coalesced access result on GPU shows a ten [&hellip;]<\/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":[11,89,3],"tags":[1782,14,1037,212,20,436],"class_list":["post-11994","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-nvidia-cuda","category-paper","tag-computer-science","tag-cuda","tag-fem","tag-finite-element-method","tag-nvidia","tag-nvidia-geforce-gtx-295"],"views":2948,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/11994","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=11994"}],"version-history":[{"count":1,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/11994\/revisions"}],"predecessor-version":[{"id":11998,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/11994\/revisions\/11998"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=11994"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=11994"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=11994"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}