{"id":10435,"date":"2013-08-30T23:49:36","date_gmt":"2013-08-30T20:49:36","guid":{"rendered":"http:\/\/hgpu.org\/?p=10435"},"modified":"2013-08-30T23:49:36","modified_gmt":"2013-08-30T20:49:36","slug":"real-time-gpu-path-tracing","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=10435","title":{"rendered":"Real-Time GPU Path Tracing"},"content":{"rendered":"<p>In this paper, we present a simple, yet efficient implementation of the path tracing algorithm for GPUs. A reformulation of Russian Roulette is used to achieve high SIMT utilization, which leads to real-time performance in Kajiya&#8217;s classic scene, using a single GPU. We apply our scheme to larger scenes in the Brigade system, an experimental real-time path tracer for games.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this paper, we present a simple, yet efficient implementation of the path tracing algorithm for GPUs. A reformulation of Russian Roulette is used to achieve high SIMT utilization, which leads to real-time performance in Kajiya&#8217;s classic scene, using a single GPU. We apply our scheme to larger scenes in the Brigade system, an experimental [&hellip;]<\/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":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[180,36,11,89,3],"tags":[1797,1787,1782,14,20,953,181],"class_list":["post-10435","post","type-post","status-publish","format-standard","hentry","category-3d-graphics-and-realism","category-algorithms","category-computer-science","category-nvidia-cuda","category-paper","tag-3d-graphics-and-realism","tag-algorithms","tag-computer-science","tag-cuda","tag-nvidia","tag-nvidia-geforce-gtx-470","tag-raytracing"],"views":3973,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/10435","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=10435"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/10435\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=10435"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=10435"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=10435"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}