{"id":6959,"date":"2012-01-18T16:32:36","date_gmt":"2012-01-18T14:32:36","guid":{"rendered":"http:\/\/hgpu.org\/?p=6959"},"modified":"2012-01-18T16:32:36","modified_gmt":"2012-01-18T14:32:36","slug":"investigation-of-parallel-computation-mpi-cuda-and-parallel-visualization","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=6959","title":{"rendered":"Investigation of Parallel Computation &#8211; MPI, CUDA and Parallel Visualization"},"content":{"rendered":"<p>In this manuscript, the parallel computation is investigated including reviewing different programming APIs and architectures. Two specific parallel API-MPI and CUDA C are deeply analyzed. Two sorting algorithms and a visual mathematic problem are implemented with MPI alone with performance analysis. A stable fluid dynamics simulation has been experimented with CUDA. We also present a parallel way to implement a visualization application in the cluster with integration of multi-thread, CUDA and OpenGL. The performance analysis is given and future improvements are also pointed out.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this manuscript, the parallel computation is investigated including reviewing different programming APIs and architectures. Two specific parallel API-MPI and CUDA C are deeply analyzed. Two sorting algorithms and a visual mathematic problem are implemented with MPI alone with performance analysis. A stable fluid dynamics simulation has been experimented with CUDA. We also present a [&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":[36,11,89,104,3],"tags":[1787,1782,14,1795,242,20,182,9,134],"class_list":["post-6959","post","type-post","status-publish","format-standard","hentry","category-algorithms","category-computer-science","category-nvidia-cuda","category-fluid-dynamics","category-paper","tag-algorithms","tag-computer-science","tag-cuda","tag-fluid-dynamics","tag-mpi","tag-nvidia","tag-opengl","tag-sorting","tag-visualization"],"views":2083,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6959","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=6959"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6959\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6959"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6959"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6959"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}