{"id":8764,"date":"2013-01-11T01:09:21","date_gmt":"2013-01-10T23:09:21","guid":{"rendered":"http:\/\/hgpu.org\/?p=8764"},"modified":"2013-01-11T01:09:21","modified_gmt":"2013-01-10T23:09:21","slug":"parallel-computing-of-discrete-element-method-on-gpu","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=8764","title":{"rendered":"Parallel Computing of Discrete Element Method on GPU"},"content":{"rendered":"<p>We investigate applicability of GPU to DEM. NVIDIA&#8217;s code obtained superior performance than CPU in computational time. A model of contact forces in NVIDIA&#8217;s code is too simple for practical use. We modify this model by replacing it with the practical model. The simulation shows that the practical model obtains the computing speed 6 times faster than the practical one on CPU while 7 times slower than the simple one on GPU. The result are analyzed.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We investigate applicability of GPU to DEM. NVIDIA&#8217;s code obtained superior performance than CPU in computational time. A model of contact forces in NVIDIA&#8217;s code is too simple for practical use. We modify this model by replacing it with the practical model. The simulation shows that the practical model obtains the computing speed 6 times [&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":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[11,89,90,3],"tags":[514,1782,14,20,1793,378],"class_list":["post-8764","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-nvidia-cuda","category-opencl","category-paper","tag-computational-engineering","tag-computer-science","tag-cuda","tag-nvidia","tag-opencl","tag-tesla-c2050"],"views":2994,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/8764","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=8764"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/8764\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=8764"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=8764"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=8764"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}