{"id":7670,"date":"2012-05-29T00:23:46","date_gmt":"2012-05-28T21:23:46","guid":{"rendered":"http:\/\/hgpu.org\/?p=7670"},"modified":"2012-05-29T00:23:46","modified_gmt":"2012-05-28T21:23:46","slug":"using-opencl-to-calculate-a-pressure-field","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=7670","title":{"rendered":"Using OpenCL to Calculate a Pressure Field"},"content":{"rendered":"<p>This report details the project in converting a CUDA program into an OpenCL program that would be adaptable to many platforms. Originally the CUDA program could only be ran on a NVIDA graphics card, which did not make the program very applicable for the user. Throughout this project the above authors learned how to program in OpenCL and CUDA, so we would be able to transfer the original code that could only be ran on NVIDA cards to a more up to date code that can be ran on any platform that has a graphics card.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This report details the project in converting a CUDA program into an OpenCL program that would be adaptable to many platforms. Originally the CUDA program could only be ran on a NVIDA graphics card, which did not make the program very applicable for the user. Throughout this project the above authors learned how to program [&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":[11,89,90,3],"tags":[1782,14,20,1793],"class_list":["post-7670","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-nvidia-cuda","category-opencl","category-paper","tag-computer-science","tag-cuda","tag-nvidia","tag-opencl"],"views":2104,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/7670","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=7670"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/7670\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=7670"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=7670"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=7670"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}