{"id":10098,"date":"2013-07-20T23:05:18","date_gmt":"2013-07-20T20:05:18","guid":{"rendered":"http:\/\/hgpu.org\/?p=10098"},"modified":"2013-07-20T23:05:18","modified_gmt":"2013-07-20T20:05:18","slug":"bone-structure-analysis-with-gpgpus","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=10098","title":{"rendered":"Bone Structure Analysis with GPGPUs"},"content":{"rendered":"<p>Osteoporosis is a disease that affects a growing number of people by increasing the fragility of their bones. To improve the understanding of the bone, large scaled computer simulations are applied. A fast, scalable and memory efficient solver for such problems is ParOSol. It uses the preconditioned conjugate gradient algorithm with a multigrid preconditioner. A modification of ParOSol is presented that profits from the exorbitant compute capabilities of recent GPGPUs. Different data-structures on the GPGPU are presented and compared. The fastest achieves a speedup of more than 5 while the code is scalable for huge numbers of GPGPUs.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Osteoporosis is a disease that affects a growing number of people by increasing the fragility of their bones. To improve the understanding of the bone, large scaled computer simulations are applied. A fast, scalable and memory efficient solver for such problems is ParOSol. It uses the preconditioned conjugate gradient algorithm with a multigrid preconditioner. A [&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":[36,38,3],"tags":[1787,1788,20,1394,1390,390],"class_list":["post-10098","post","type-post","status-publish","format-standard","hentry","category-algorithms","category-medicine","category-paper","tag-algorithms","tag-medicine","tag-nvidia","tag-nvidia-geforce-gtx-670","tag-tesla-k20","tag-thesis"],"views":1982,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/10098","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=10098"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/10098\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=10098"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=10098"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=10098"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}