{"id":13401,"date":"2015-01-28T21:29:31","date_gmt":"2015-01-28T19:29:31","guid":{"rendered":"http:\/\/hgpu.org\/?p=13401"},"modified":"2015-01-28T21:29:31","modified_gmt":"2015-01-28T19:29:31","slug":"gpu-programming-speeding-up-the-3d-surface-generator-vesta","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=13401","title":{"rendered":"GPU Programming &#8211; Speeding Up the 3D Surface Generator VESTA"},"content":{"rendered":"<p>The novel &quot;Volume-Enclosing Surface exTraction Algorithm&quot; (VESTA) generates triangular isosurfaces from computed tomography volumetric images and\/or three-dimensional (3D) simulation data. Here, we present various benchmarks for GPU-based code implementations of both VESTA and the current state-of-the-art Marching Cubes Algorithm (MCA). One major result of this study is that VESTA runs significantly faster than the MCA.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The novel &quot;Volume-Enclosing Surface exTraction Algorithm&quot; (VESTA) generates triangular isosurfaces from computed tomography volumetric images and\/or three-dimensional (3D) simulation data. Here, we present various benchmarks for GPU-based code implementations of both VESTA and the current state-of-the-art Marching Cubes Algorithm (MCA). One major result of this study is that VESTA runs significantly faster than the MCA.<\/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":[11,89,3],"tags":[479,1782,478,14,332,20,1634],"class_list":["post-13401","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-nvidia-cuda","category-paper","tag-computed-tomography","tag-computer-science","tag-ct","tag-cuda","tag-graphics","tag-nvidia","tag-nvidia-geforce-gtx-750-ti"],"views":2694,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/13401","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=13401"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/13401\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=13401"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=13401"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=13401"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}