It is studied about parallel algorithm of lattice Boltzmann method. The data’s arrangement, commutation and computational progress are redesigned in a marriage of message passing interface and general purpose graphic processing Units. On the single-GPU, novel techniques appearing in shader model 3.0 such as frame buffer object (FBO), multiple-channels-rendering and, rendering-to-textures are used to improve computational efficiency. On multiple-GPUs, MPI is used to extend available mesh size and accomplish parallel algorithm. Consequently, the problem of excessively enormous mesh such as the size of 1024*1024, which could not be calculated on single GPU, is resolved in this paper. Moreover, the computational time of the instance-velocity vector of incompressible fluid is merely 0.585 second\/step, a speed which is about 5.0 times faster than that of a single CPU implementation.<\/p>\n","protected":false},"excerpt":{"rendered":"
It is studied about parallel algorithm of lattice Boltzmann method. The data’s arrangement, commutation and computational progress are redesigned in a marriage of message passing interface and general purpose graphic processing Units. On the single-GPU, novel techniques appearing in shader model 3.0 such as frame buffer object (FBO), multiple-channels-rendering and, rendering-to-textures are used to improve […]<\/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":[104,3],"tags":[1795,106,108,242,182,144],"class_list":["post-4241","post","type-post","status-publish","format-standard","hentry","category-fluid-dynamics","category-paper","tag-fluid-dynamics","tag-gpu-cluster","tag-lattice-boltzmann-model","tag-mpi","tag-opengl","tag-rendering"],"views":2180,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/4241","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=4241"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/4241\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4241"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4241"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4241"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}