{"id":6232,"date":"2011-11-10T15:45:16","date_gmt":"2011-11-10T13:45:16","guid":{"rendered":"http:\/\/hgpu.org\/?p=6232"},"modified":"2011-11-10T15:45:16","modified_gmt":"2011-11-10T13:45:16","slug":"exploring-applications-in-cuda","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=6232","title":{"rendered":"Exploring Applications in CUDA"},"content":{"rendered":"<p>Modern Graphics Processing Units (GPUs) are capable of much more than supporting GUIs and generating 3D graphics.  These devices are highly parallel, highly multithreaded multiprocessors harnessing a large amount of floating-point processing power for non-graphics problems.  This  project is based on  experiments in CUDA C.  These examples seek to demonstrate the potential speedups offered by CUDA and the ease of which a new programmer can take advantage of such performance gains.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Modern Graphics Processing Units (GPUs) are capable of much more than supporting GUIs and generating 3D graphics. These devices are highly parallel, highly multithreaded multiprocessors harnessing a large amount of floating-point processing power for non-graphics problems. This project is based on experiments in CUDA C. These examples seek to demonstrate the potential speedups offered 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":[1782,14,20],"class_list":["post-6232","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-nvidia-cuda","category-paper","tag-computer-science","tag-cuda","tag-nvidia"],"views":1603,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6232","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=6232"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6232\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6232"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6232"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6232"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}