{"id":9553,"date":"2013-06-09T17:44:43","date_gmt":"2013-06-09T14:44:43","guid":{"rendered":"http:\/\/hgpu.org\/?p=9553"},"modified":"2013-06-12T08:46:14","modified_gmt":"2013-06-12T05:46:14","slug":"gpu-acceleration-of-algebraic-multigrid-for-low-frequency-finite-element-methods","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=9553","title":{"rendered":"GPU Acceleration of Algebraic Multigrid for Low-Frequency Finite Element Methods"},"content":{"rendered":"<p>This paper introduces a GPU acceleration of a Wavelet-based Algebraic Multigrid used as preconditioner for solving the Laplace&#8217;s equation discretized by Finite Element Method. We conduct some tests using a CPU-based direct solver, a CPU-based Preconditined Conjugate Gradient (PCG), and a GPU-based PCG. Finally, we report the solution time and the speed-up achieved in solving the discretized problem.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This paper introduces a GPU acceleration of a Wavelet-based Algebraic Multigrid used as preconditioner for solving the Laplace&#8217;s equation discretized by Finite Element Method. We conduct some tests using a CPU-based direct solver, a CPU-based Preconditined Conjugate Gradient (PCG), and a GPU-based PCG. Finally, we report the solution time and the speed-up achieved in solving [&hellip;]<\/p>\n","protected":false},"author":275,"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":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[11,3],"tags":[212,1441,20,244],"class_list":["post-9553","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-paper","tag-finite-element-method","tag-gpu-amg","tag-nvidia","tag-tesla-s1070"],"views":2512,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/9553","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\/275"}],"replies":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=9553"}],"version-history":[{"count":3,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/9553\/revisions"}],"predecessor-version":[{"id":9571,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/9553\/revisions\/9571"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=9553"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=9553"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=9553"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}