{"id":7593,"date":"2012-05-19T09:25:44","date_gmt":"2012-05-19T06:25:44","guid":{"rendered":"http:\/\/hgpu.org\/?p=7593"},"modified":"2013-11-15T13:30:25","modified_gmt":"2013-11-15T11:30:25","slug":"the-linear-direct-sparse-solver-on-gpu-for-bundle-adjustment-method","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=7593","title":{"rendered":"The Linear Direct Sparse Solver on GPU for Bundle Adjustment Method"},"content":{"rendered":"<p>Implementation of a direct solver for the symmetric positive definite sparse matrix of general structure exploiting the parallelism on the graphic card (GPU). Implementation of a direct solver using the Schur complement specially for the requirements of sparse system in bundle adjustment.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Implementation of a direct solver for the symmetric positive definite sparse matrix of general structure exploiting the parallelism on the graphic card (GPU). Implementation of a direct solver using the Schur complement specially for the requirements of sparse system in bundle adjustment.<\/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":[11,89,33,3],"tags":[1782,14,1786,20,1091,176,421,390],"class_list":["post-7593","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-nvidia-cuda","category-image-processing","category-paper","tag-computer-science","tag-cuda","tag-image-processing","tag-nvidia","tag-nvidia-geforce-gtx-570","tag-package","tag-sparse-matrix","tag-thesis"],"views":2932,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/7593","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=7593"}],"version-history":[{"count":1,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/7593\/revisions"}],"predecessor-version":[{"id":10905,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/7593\/revisions\/10905"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=7593"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=7593"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=7593"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}