{"id":4714,"date":"2011-07-09T17:29:36","date_gmt":"2011-07-09T14:29:36","guid":{"rendered":"http:\/\/hgpu.org\/?p=4714"},"modified":"2011-07-09T17:29:36","modified_gmt":"2011-07-09T14:29:36","slug":"the-use-of-overlapping-subgrids-to-accelerate-the-fdtd-on-gpu-devices","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=4714","title":{"rendered":"The use of overlapping subgrids to accelerate the FDTD on GPU devices"},"content":{"rendered":"<p>The method Finite Difference Time Domain (FDTD) is widely used in electromagnetic simulations to solve problems of microwave tomography, radar and telecommunications. Since this method is a data intensive and computation intensive problem, there are a lot of initiatives to improve the scalability and the performance of the FDTD. Despite the progress, performance in FDTD simulation is still a challenge, especially in situations with experiments with large environments, complex objects and\/or electromagnetic waves with a wide range of frequencies. The use of GPU to accelerate the FDTD, which has a good cost-benefit, is especially in focus, offering a speedup of hundreds of times if compared to the traditional CPU computation. The memory manager is the main issue to improve the performance of FDTD over GPU. This work presents a solution which uses overlapping subgrids in order to increase the efficiency in the memory access. The performed tests show a speedup of 1.7 times of the proposed solution when compared to the current FDTD over GPU.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The method Finite Difference Time Domain (FDTD) is widely used in electromagnetic simulations to solve problems of microwave tomography, radar and telecommunications. Since this method is a data intensive and computation intensive problem, there are a lot of initiatives to improve the scalability and the performance of the FDTD. Despite the progress, performance in FDTD [&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":[319,3],"tags":[1802,323,322],"class_list":["post-4714","post","type-post","status-publish","format-standard","hentry","category-electrodynamics","category-paper","tag-electrodynamics","tag-fdtd","tag-finite-difference-time-domain"],"views":2003,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/4714","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=4714"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/4714\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4714"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4714"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4714"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}