{"id":6318,"date":"2011-11-18T18:50:38","date_gmt":"2011-11-18T16:50:38","guid":{"rendered":"http:\/\/hgpu.org\/?p=6318"},"modified":"2011-11-18T18:50:38","modified_gmt":"2011-11-18T16:50:38","slug":"particle-based-visualization-of-large-cosmological-datasets","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=6318","title":{"rendered":"Particle-based Visualization of Large Cosmological Datasets"},"content":{"rendered":"<p>Large quantities of simulated cosmological particlebased data cause considerable problems when it comes to real-time visualization. This paper considers an out-ofcore approach for solving visualization problems on a single-desktop workstation. The approach proposed in this paper consists of two phases: the data preprocessing and its visualization. During the preprocessing, the cosmological data is hierarchically organized and efficiently ordered. Before rendering, the data is streamed to the memory from the disk. The culling techniques, such as view frustum culling and level-ofdetail (LOD) are applied for visualization. In most cases, the real-time visualization of large cosmological particle datasets is achieved.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Large quantities of simulated cosmological particlebased data cause considerable problems when it comes to real-time visualization. This paper considers an out-ofcore approach for solving visualization problems on a single-desktop workstation. The approach proposed in this paper consists of two phases: the data preprocessing and its visualization. During the preprocessing, the cosmological data is hierarchically organized [&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":[7,1193,1782,803,182,144,134],"class_list":["post-6318","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-paper","tag-ati","tag-ati-radeon-hd-5750","tag-computer-science","tag-cosmology","tag-opengl","tag-rendering","tag-visualization"],"views":2248,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6318","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=6318"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6318\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6318"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6318"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6318"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}