{"id":7042,"date":"2012-01-26T23:40:19","date_gmt":"2012-01-26T21:40:19","guid":{"rendered":"http:\/\/hgpu.org\/?p=7042"},"modified":"2012-01-26T23:40:19","modified_gmt":"2012-01-26T21:40:19","slug":"cuda-raytracing-algorithm-for-visualizing-discrete-element-model-output","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=7042","title":{"rendered":"CUDA raytracing algorithm for visualizing discrete element model output"},"content":{"rendered":"<p>A raytracing algorithm is constructed using the CUDA API for visualizing output from a CUDA discrete element model, which outputs spatial information in dynamic particle systems. The raytracing algorithm is optimized with constant memory and compilation flags, and performance is measured as a function of the number of particles and the number of pixels. The execution time is compared to equivalent CPU code, and the speedup under a variety of conditions is found to have a mean value of 55.6 times.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A raytracing algorithm is constructed using the CUDA API for visualizing output from a CUDA discrete element model, which outputs spatial information in dynamic particle systems. The raytracing algorithm is optimized with constant memory and compilation flags, and performance is measured as a function of the number of particles and the number of pixels. The [&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":[1787,1782,14,20,1225,176,181],"class_list":["post-7042","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-quadro-fx-4000","tag-package","tag-raytracing"],"views":2487,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/7042","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=7042"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/7042\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=7042"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=7042"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=7042"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}