{"id":5383,"date":"2011-09-04T10:07:18","date_gmt":"2011-09-04T07:07:18","guid":{"rendered":"http:\/\/hgpu.org\/?p=5383"},"modified":"2011-09-04T10:07:18","modified_gmt":"2011-09-04T07:07:18","slug":"electrical-distribution-grid-visualization-using-programmable-gpus","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=5383","title":{"rendered":"Electrical distribution grid visualization using programmable GPUs"},"content":{"rendered":"<p>Modern graphic cards enable applications to process big amounts of graphical data faster than CPUs, allowing high-volume parallelizable data to be visualized in real-time. In this paper, we present an approach to enable a power grid planning Computer-Aided-Design application to use this processing power to visualize electrical distribution grids in the fastest possible way. As a result, the aforesaid application became able to offer highly responsive interactions with them.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Modern graphic cards enable applications to process big amounts of graphical data faster than CPUs, allowing high-volume parallelizable data to be visualized in real-time. In this paper, we present an approach to enable a power grid planning Computer-Aided-Design application to use this processing power to visualize electrical distribution grids in the fastest possible way. As [&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":[11,3],"tags":[596,1782,480,114,20,671,372,367,134],"class_list":["post-5383","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-paper","tag-cad","tag-computer-science","tag-directx","tag-hlsl","tag-nvidia","tag-nvidia-geforce-8500-gt","tag-power-systems-simulation","tag-shaders","tag-visualization"],"views":2205,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/5383","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=5383"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/5383\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5383"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=5383"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=5383"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}