{"id":6499,"date":"2011-12-06T18:04:21","date_gmt":"2011-12-06T16:04:21","guid":{"rendered":"http:\/\/hgpu.org\/?p=6499"},"modified":"2011-12-06T18:04:21","modified_gmt":"2011-12-06T16:04:21","slug":"simulation-of-pollutant-transport-in-shallow-water-on-a-cuda-architecture","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=6499","title":{"rendered":"Simulation of pollutant transport in shallow water on a CUDA architecture"},"content":{"rendered":"<p>Shallow water simulation enables the study of problems such as dam break, river, canal and coastal hydrodynamics, as well as the transport of inert substances, such as pollutants, on a fluid. This article describes a GPU efficient and cost-effective CUDA implementation of a finite volume numerical scheme for solving pollutant transport problems in bidimensional domains. The fluid is modeled by 2D shallow water equations, while the transport of pollutant is modeled by a transport equation. The 2D domain is discretized using a first order finite volume scheme. The evaluation using a realistic problem shows that the implementation makes a good usage of the computational resources, being very efficient for real-life complex simulations. The speedup reached allowed us to complete a simulation in 2 hours in contrast with the 239 hours (10 days) required by a sequential execution in a standard CPU.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Shallow water simulation enables the study of problems such as dam break, river, canal and coastal hydrodynamics, as well as the transport of inert substances, such as pollutants, on a fluid. This article describes a GPU efficient and cost-effective CUDA implementation of a finite volume numerical scheme for solving pollutant transport problems in bidimensional domains. [&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":[89,303,104,3],"tags":[14,1801,537,1795,20,436,1035],"class_list":["post-6499","post","type-post","status-publish","format-standard","hentry","category-nvidia-cuda","category-earth-and-space-sciences","category-fluid-dynamics","category-paper","tag-cuda","tag-earth-and-space-sciences","tag-finite-volume-method","tag-fluid-dynamics","tag-nvidia","tag-nvidia-geforce-gtx-295","tag-tesla-s2050"],"views":2210,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6499","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=6499"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6499\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6499"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6499"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6499"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}