{"id":6126,"date":"2011-10-31T14:10:45","date_gmt":"2011-10-31T12:10:45","guid":{"rendered":"http:\/\/hgpu.org\/?p=6126"},"modified":"2011-10-31T14:10:45","modified_gmt":"2011-10-31T12:10:45","slug":"optimal-control-of-the-process-systems-using-graphic-processing-unit","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=6126","title":{"rendered":"Optimal Control of the Process Systems Using Graphic Processing Unit"},"content":{"rendered":"<p>In this paper the Graphic Processing Unit (GPU) is applied in order to improve the computational performance of process systems optimal control calculations. To apply GPU massive parallel architecture, a simplified version of interior point optimisation algorithm was selected and modified to fulfil special hardware requirements of GPU architecture. In this algorithm, a damped nonlinear Newton with preconditioned iterative linear solver was used to solve Dual-Primal equations. The comparison of results between this implementation and standard CPU-based implementation shows considerable improvement in computational performance.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this paper the Graphic Processing Unit (GPU) is applied in order to improve the computational performance of process systems optimal control calculations. To apply GPU massive parallel architecture, a simplified version of interior point optimisation algorithm was selected and modified to fulfil special hardware requirements of GPU architecture. In this algorithm, a damped nonlinear [&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":[36,11,89,3],"tags":[1787,1782,14,20,379,298,67],"class_list":["post-6126","post","type-post","status-publish","format-standard","hentry","category-algorithms","category-computer-science","category-nvidia-cuda","category-paper","tag-algorithms","tag-computer-science","tag-cuda","tag-nvidia","tag-nvidia-geforce-gtx-480","tag-optimization","tag-performance"],"views":1955,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6126","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=6126"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6126\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6126"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6126"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6126"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}