{"id":12626,"date":"2014-08-10T13:22:02","date_gmt":"2014-08-10T10:22:02","guid":{"rendered":"http:\/\/hgpu.org\/?p=12626"},"modified":"2014-08-10T13:22:02","modified_gmt":"2014-08-10T10:22:02","slug":"direct-numerical-simulation-of-turbulent-flows-with-parallel-algorithms-for-various-computing-architectures","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=12626","title":{"rendered":"Direct Numerical Simulation of Turbulent Flows with Parallel Algorithms for Various Computing Architectures"},"content":{"rendered":"<p>The purpose of the work is twofold. Firstly, it is devoted to the development of efficient parallel algorithms for large-scale simulations of turbulent flows on different supercomputer architectures. It reports experience with massively-parallel accelerators including graphics processing units of AMD and NVIDIA and Intel Xeon Phi coprocessors. Secondly, it introduces new series of direct numerical simulations of incompressible turbulent flows with heat transfer performed with the considered algorithms.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The purpose of the work is twofold. Firstly, it is devoted to the development of efficient parallel algorithms for large-scale simulations of turbulent flows on different supercomputer architectures. It reports experience with massively-parallel accelerators including graphics processing units of AMD and NVIDIA and Intel Xeon Phi coprocessors. Secondly, it introduces new series of direct numerical [&hellip;]<\/p>\n","protected":false},"author":351,"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":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[104,90,3],"tags":[7,455,1200,1307,1795,1483,242,285,20,953,1470,1793,252,67,199,378],"class_list":["post-12626","post","type-post","status-publish","format-standard","hentry","category-fluid-dynamics","category-opencl","category-paper","tag-ati","tag-ati-radeon-hd-5870","tag-ati-radeon-hd-6970","tag-ati-radeon-hd-7970","tag-fluid-dynamics","tag-intel-xeon-phi","tag-mpi","tag-numerical-simulation","tag-nvidia","tag-nvidia-geforce-gtx-470","tag-nvidia-geforce-gtx-titan","tag-opencl","tag-openmp","tag-performance","tag-tesla-c1060","tag-tesla-c2050"],"views":2906,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/12626","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=12626"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/12626\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=12626"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=12626"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=12626"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}