{"id":8363,"date":"2012-10-14T23:52:47","date_gmt":"2012-10-14T20:52:47","guid":{"rendered":"http:\/\/hgpu.org\/?p=8363"},"modified":"2012-10-14T23:52:47","modified_gmt":"2012-10-14T20:52:47","slug":"graphics-processing-unit-based-searching-the-critical-slip-surface-of-slopes-by-the-vector-sum-analysis-method","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=8363","title":{"rendered":"Graphics Processing Unit based searching the critical slip surface of slopes by the Vector Sum Analysis Method"},"content":{"rendered":"<p>Vector Sum Analysis Method (VSAM), with its  clear physical and mechanical meaning in slope stability analysis, can be effectively applied to calculate the slope safety factor and to search the critical slip surface of a slope. In the current researches of VSAM, most people focus on the solutions or  application in slope engineering without considering the  computing performance. In recent years, Graphics Processing Unit (GPU) was quickly developed with its high performance of parallel computing. In this paper, VSAM based on GPU is put forward, the principles of GPU-based computing speedup are introduced and accelerated effects of two slope examples are tested under different computing scales. The results show that computing performance of GPU-based VSAM is significantly improved (the maximum speedup achieved is 31.07x); also, they demonstrate that an effective solution is provided for large-scale slope stability calculation.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Vector Sum Analysis Method (VSAM), with its clear physical and mechanical meaning in slope stability analysis, can be effectively applied to calculate the slope safety factor and to search the critical slip surface of a slope. In the current researches of VSAM, most people focus on the solutions or application in slope engineering without considering [&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":[89,303,3],"tags":[14,1801,20,974],"class_list":["post-8363","post","type-post","status-publish","format-standard","hentry","category-nvidia-cuda","category-earth-and-space-sciences","category-paper","tag-cuda","tag-earth-and-space-sciences","tag-nvidia","tag-nvidia-geforce-gtx-580"],"views":2121,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/8363","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=8363"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/8363\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=8363"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=8363"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=8363"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}