{"id":12068,"date":"2014-05-16T09:59:32","date_gmt":"2014-05-16T06:59:32","guid":{"rendered":"http:\/\/hgpu.org\/?p=12068"},"modified":"2014-05-16T09:59:32","modified_gmt":"2014-05-16T06:59:32","slug":"porting-nahuj-to-cuda","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=12068","title":{"rendered":"Porting NAHUJ to CUDA"},"content":{"rendered":"<p>This white-paper reports on an enabling effort that involves porting a legacy 2D fluid dynamics Fortran code to NVIDIA GPUs. Given the complexity of both code and underlying (custom) numerical method, the natural choice was to use NVIDIA CUDA C to achieve the best possible performance. We achieved over 4.5x speed-up on a single K20 compared to the original code executed on a dual-socket E5-2687W.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This white-paper reports on an enabling effort that involves porting a legacy 2D fluid dynamics Fortran code to NVIDIA GPUs. Given the complexity of both code and underlying (custom) numerical method, the natural choice was to use NVIDIA CUDA C to achieve the best possible performance. We achieved over 4.5x speed-up on a single K20 [&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":[89,104,3],"tags":[14,1795,989,20,1390],"class_list":["post-12068","post","type-post","status-publish","format-standard","hentry","category-nvidia-cuda","category-fluid-dynamics","category-paper","tag-cuda","tag-fluid-dynamics","tag-fortran","tag-nvidia","tag-tesla-k20"],"views":2237,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/12068","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=12068"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/12068\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=12068"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=12068"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=12068"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}