{"id":7588,"date":"2012-05-16T22:28:55","date_gmt":"2012-05-16T19:28:55","guid":{"rendered":"http:\/\/hgpu.org\/?p=7588"},"modified":"2012-05-16T22:28:55","modified_gmt":"2012-05-16T19:28:55","slug":"an-introduction-to-the-opencl-programming-model","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=7588","title":{"rendered":"An Introduction to the OpenCL Programming Model"},"content":{"rendered":"<p>This paper presents an overview of the OpenCL 1.1 standard [Khronos 2012]. We first motivate the need for GPGPU computing and then discuss the various concepts and technological background necessary to understand the programming model. We use concurrent matrix multiplication as a framework for explaining various performance characteristics of compiling and running OpenCL code, and contrast this to native code on more traditional general purpose CPUs.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This paper presents an overview of the OpenCL 1.1 standard [Khronos 2012]. We first motivate the need for GPGPU computing and then discuss the various concepts and technological background necessary to understand the programming model. We use concurrent matrix multiplication as a framework for explaining various performance characteristics of compiling and running OpenCL code, and [&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":[11,90,3],"tags":[7,642,1270,1782,324,20,1231,1793,932,102],"class_list":["post-7588","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-opencl","category-paper","tag-ati","tag-ati-radeon-hd-5850","tag-ati-radeon-hd-6750-m","tag-computer-science","tag-matrix-multiplication","tag-nvidia","tag-nvidia-quadro-fx-2000","tag-opencl","tag-overview","tag-tutorial"],"views":3771,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/7588","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=7588"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/7588\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=7588"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=7588"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=7588"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}