{"id":8307,"date":"2012-10-02T16:51:11","date_gmt":"2012-10-02T13:51:11","guid":{"rendered":"http:\/\/hgpu.org\/?p=8307"},"modified":"2012-10-02T16:51:11","modified_gmt":"2012-10-02T13:51:11","slug":"caddies-a-new-framework-for-rapid-development-of-parallel-cellular-automata-algorithms-for-flood-simulation","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=8307","title":{"rendered":"CADDIES: A New Framework for Rapid Development of Parallel Cellular Automata Algorithms for Flood Simulation"},"content":{"rendered":"<p>A recent trend in the development of flood simulation algorithms shows the move toward  fast simplified models instead of slow full hydrodynamic models. CADDIES is a research project that aims to develop a real\/near-real time pluvial urban flood simulation model using the computational speed of cellular automata (CA) algorithms. This paper presents a component of the software framework that is part of the CADDIES project. Its objective is to simplify the development of CA algorithms and their acceleration using modern high performance hardware and techniques. The performance results obtained on a simple case study clearly demonstrate the effectiveness and efficiency of the CADDIES framework.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A recent trend in the development of flood simulation algorithms shows the move toward fast simplified models instead of slow full hydrodynamic models. CADDIES is a research project that aims to develop a real\/near-real time pluvial urban flood simulation model using the computational speed of cellular automata (CA) algorithms. This paper presents a component of [&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":[36,11,90,3],"tags":[1787,774,1782,20,251,1088,1793],"class_list":["post-8307","post","type-post","status-publish","format-standard","hentry","category-algorithms","category-computer-science","category-opencl","category-paper","tag-algorithms","tag-cellular-automata","tag-computer-science","tag-nvidia","tag-nvidia-geforce-gtx-285","tag-nvidia-geforce-gtx-550-ti","tag-opencl"],"views":2492,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/8307","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=8307"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/8307\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=8307"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=8307"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=8307"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}