{"id":6546,"date":"2011-12-11T15:01:01","date_gmt":"2011-12-11T13:01:01","guid":{"rendered":"http:\/\/hgpu.org\/?p=6546"},"modified":"2011-12-11T15:01:01","modified_gmt":"2011-12-11T13:01:01","slug":"data-analysis-and-3d-evolution-in-high-energy-physics-using-graphic-processor","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=6546","title":{"rendered":"Data analysis and 3D evolution in High Energy Physics using graphic processor"},"content":{"rendered":"<p>One of the main challenges in High Energy Physics (HEP) is to make fast analysis of high amount of experimental and simulated data. For example, the amount of data generated at Large Hadron Collider (LHC) is estimated to reach 1 PetaByte\/year. The time taken to analyze the data and to obtain fast results depends on high computing power. We present a new approach in data analysis from HEP using Graphics Processor Units (GPU). A graphical user interface application was developed for data analysis and  visualization from Ultra relativistic Quantum Molecular Dynamics (UrQMD) simulated data. The increase GPU performance makes possible both the online analysis of data and also the real-time visualization of the interaction in 3D.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>One of the main challenges in High Energy Physics (HEP) is to make fast analysis of high amount of experimental and simulated data. For example, the amount of data generated at Large Hadron Collider (LHC) is estimated to reach 1 PetaByte\/year. The time taken to analyze the data and to obtain fast results depends on [&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":[89,3,12],"tags":[14,112,472,20,466,1783,134],"class_list":["post-6546","post","type-post","status-publish","format-standard","hentry","category-nvidia-cuda","category-paper","category-physics","tag-cuda","tag-molecular-dynamics","tag-nuclear-physics","tag-nvidia","tag-nvidia-geforce-9600-gt","tag-physics","tag-visualization"],"views":2358,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6546","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=6546"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6546\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6546"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6546"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6546"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}