{"id":2905,"date":"2011-02-19T14:59:45","date_gmt":"2011-02-19T14:59:45","guid":{"rendered":"http:\/\/hgpu.org\/?p=2905"},"modified":"2011-02-19T14:59:45","modified_gmt":"2011-02-19T14:59:45","slug":"compiler-support-for-high-level-gpu-programming","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=2905","title":{"rendered":"Compiler Support for High-level GPU Programming"},"content":{"rendered":"<p>We design a high-level abstraction of CUDA, called hiCUDA, using compiler directives. It simplifies the tasks in porting sequential applications to NVIDIA GPUs. This paper focuses on the design and implementation of a source-to-source compiler that translates a hiCUDA program into an equivalent CUDA program, and shows that the performance of CUDA code generated by this compiler is comparable to that of hand-written versions.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We design a high-level abstraction of CUDA, called hiCUDA, using compiler directives. It simplifies the tasks in porting sequential applications to NVIDIA GPUs. This paper focuses on the design and implementation of a source-to-source compiler that translates a hiCUDA program into an equivalent CUDA program, and shows that the performance of CUDA code generated by [&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":[955,1782,14,95,20,183,176],"class_list":["post-2905","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-nvidia-cuda","category-paper","tag-compilers","tag-computer-science","tag-cuda","tag-high-level-languages","tag-nvidia","tag-nvidia-geforce-8800-gtx","tag-package"],"views":2042,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/2905","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=2905"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/2905\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2905"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2905"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2905"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}