{"id":6803,"date":"2012-01-02T17:58:32","date_gmt":"2012-01-02T15:58:32","guid":{"rendered":"http:\/\/hgpu.org\/?p=6803"},"modified":"2012-01-02T17:58:32","modified_gmt":"2012-01-02T15:58:32","slug":"linear-solvers-for-stable-fluids-gpu-vs-cpu","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=6803","title":{"rendered":"Linear Solvers for Stable Fluids: GPU vs CPU"},"content":{"rendered":"<p>Fluid simulation has been an active research field in computer graphics for the last 30 years. Stam&#8217;s stable fluids method, among others, is used for solving equations that govern fluids. This method solves a sparse linear system during the diffusion and move steps, using either relaxation methods (Jacobi, Gauss-Seidel, etc), Conjugate Gradient (and its variants), or others (not subject of study in this paper). A comparative performance analysis between a parallel GPU-based (using CUDA) algorithm and a serial CPU-based algorithm, in both 2D and 3D, is given with the corresponding implementation of Jacobi (J), Gauss-Seidel (GS) and Conjugate Gradient (CG) solvers.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Fluid simulation has been an active research field in computer graphics for the last 30 years. Stam&#8217;s stable fluids method, among others, is used for solving equations that govern fluids. This method solves a sparse linear system during the diffusion and move steps, using either relaxation methods (Jacobi, Gauss-Seidel, etc), Conjugate Gradient (and its variants), [&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":[36,89,104,3],"tags":[1787,14,1795,121,20,226,593],"class_list":["post-6803","post","type-post","status-publish","format-standard","hentry","category-algorithms","category-nvidia-cuda","category-fluid-dynamics","category-paper","tag-algorithms","tag-cuda","tag-fluid-dynamics","tag-fluid-simulation","tag-nvidia","tag-nvidia-geforce-8800-gt","tag-sparse-linear-iterative-solvers"],"views":2473,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6803","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=6803"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6803\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6803"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6803"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6803"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}