{"id":9069,"date":"2013-03-24T07:30:10","date_gmt":"2013-03-24T05:30:10","guid":{"rendered":"http:\/\/hgpu.org\/?p=9069"},"modified":"2013-03-24T07:30:10","modified_gmt":"2013-03-24T05:30:10","slug":"how-to-benefit-from-amd-intel-and-nvidia-accelerator-technologies-in-scilab","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=9069","title":{"rendered":"How to Benefit from AMD, Intel and Nvidia Accelerator Technologies in Scilab"},"content":{"rendered":"<p>This paper presents how to use, in Scilab, accelerator technologies from AMD, Intel and Nvidia in a exible and portable manner. The proposed approach aims at simplifying speeding up Scilab programs in an incremental process thanks to directives based parallel programming provided by CAPS OpenHMPP technology.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This paper presents how to use, in Scilab, accelerator technologies from AMD, Intel and Nvidia in a exible and portable manner. The proposed approach aims at simplifying speeding up Scilab programs in an incremental process thanks to directives based parallel programming provided by CAPS OpenHMPP technology.<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"closed","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":[7,1307,1782,14,905,1388,20,1793,176,67,1300,1390],"class_list":["post-9069","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-nvidia-cuda","category-opencl","category-paper","tag-ati","tag-ati-radeon-hd-7970","tag-computer-science","tag-cuda","tag-intel","tag-intel-phi","tag-nvidia","tag-opencl","tag-package","tag-performance","tag-portability","tag-tesla-k20"],"views":3693,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/9069","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=9069"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/9069\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=9069"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=9069"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=9069"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}