{"id":3727,"date":"2011-04-27T13:15:19","date_gmt":"2011-04-27T13:15:19","guid":{"rendered":"http:\/\/hgpu.org\/?p=3727"},"modified":"2011-04-27T13:15:19","modified_gmt":"2011-04-27T13:15:19","slug":"gpu-and-cpu-cooperation-parallel-visualisation-for-large-seismic-data","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=3727","title":{"rendered":"GPU and CPU cooperation parallel visualisation for large seismic data"},"content":{"rendered":"<p>A parallel visualisation technique for large seismic data based on a graphics processing unit (GPU) and CPU cooperation is presented. The 3D texture mapping capability commonly available in modern GPUs is employed as a core rendering engine and advantage is taken of combinations of GPU-based parallel volume visualisation and visibility tests to accelerate the whole rendering process. Experimental results show that the method achieves real-time performance for very large seismic data (10GB) on standard PC hardware.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A parallel visualisation technique for large seismic data based on a graphics processing unit (GPU) and CPU cooperation is presented. The 3D texture mapping capability commonly available in modern GPUs is employed as a core rendering engine and advantage is taken of combinations of GPU-based parallel volume visualisation and visibility tests to accelerate the whole [&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":[303,3],"tags":[1801,144,856,134],"class_list":["post-3727","post","type-post","status-publish","format-standard","hentry","category-earth-and-space-sciences","category-paper","tag-earth-and-space-sciences","tag-rendering","tag-seismology","tag-visualization"],"views":2334,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/3727","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=3727"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/3727\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3727"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3727"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3727"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}