{"id":2280,"date":"2010-12-29T12:58:19","date_gmt":"2010-12-29T12:58:19","guid":{"rendered":"http:\/\/hgpu.org\/?p=2280"},"modified":"2010-12-29T12:58:19","modified_gmt":"2010-12-29T12:58:19","slug":"source-to-source-optimization-of-cuda-c-for-gpu-accelerated-cardiac-cell-modeling","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=2280","title":{"rendered":"Source-to-Source Optimization of CUDA C for GPU Accelerated Cardiac Cell Modeling"},"content":{"rendered":"<p>Large and complex systems of ordinary differential equations (ODEs) arise in diverse areas of science and engineering, and pose special challenges on a streaming processor owing to the large amount of state they manipulate. We describe a set of domain-specific source transformations on CUDA C that improved performance by x6.7 on a system of ODEs arising in cardiac electrophysiology running on the nVidia GTX-295, without requiring expert knowledge of the GPU. Our transformations should apply to a wide range of reaction-diffusion systems.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Large and complex systems of ordinary differential equations (ODEs) arise in diverse areas of science and engineering, and pose special challenges on a streaming processor owing to the large amount of state they manipulate. We describe a set of domain-specific source transformations on CUDA C that improved performance by x6.7 on a system of ODEs [&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":[11,89,3],"tags":[231,1782,14,95,20,436,298],"class_list":["post-2280","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-nvidia-cuda","category-paper","tag-computational-biology","tag-computer-science","tag-cuda","tag-high-level-languages","tag-nvidia","tag-nvidia-geforce-gtx-295","tag-optimization"],"views":1839,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/2280","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=2280"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/2280\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2280"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2280"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2280"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}