{"id":8647,"date":"2012-12-12T23:58:20","date_gmt":"2012-12-12T21:58:20","guid":{"rendered":"http:\/\/hgpu.org\/?p=8647"},"modified":"2012-12-12T23:58:20","modified_gmt":"2012-12-12T21:58:20","slug":"hybrid-parallel-streamline-extraction-combining-mpi-and-opencl","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=8647","title":{"rendered":"Hybrid Parallel Streamline Extraction Combining MPI and OpenCL"},"content":{"rendered":"<p>Recently scientific simulation application take advantage of modern accelerator technology more and more. For in-situ visualization techniques especially in this case scalability will become an issue. In this work we present a scalability evaluation for a hybrid parallelized streamline extraction algorithm.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Recently scientific simulation application take advantage of modern accelerator technology more and more. For in-situ visualization techniques especially in this case scalability will become an issue. In this work we present a scalability evaluation for a hybrid parallelized streamline extraction algorithm.<\/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":[11,90,3],"tags":[1782,242,628,20,1793,1017,134],"class_list":["post-8647","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-opencl","category-paper","tag-computer-science","tag-mpi","tag-numerical-analysis","tag-nvidia","tag-opencl","tag-tesla-m2070","tag-visualization"],"views":2913,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/8647","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=8647"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/8647\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=8647"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=8647"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=8647"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}