{"id":11704,"date":"2014-03-21T23:33:01","date_gmt":"2014-03-21T21:33:01","guid":{"rendered":"http:\/\/hgpu.org\/?p=11704"},"modified":"2014-03-21T23:33:01","modified_gmt":"2014-03-21T21:33:01","slug":"implementation-of-parallel-fast-hartley-transform-fht-using-cuda","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=11704","title":{"rendered":"Implementation of Parallel Fast Hartley Transform (FHT) Using Cuda"},"content":{"rendered":"<p>Implementation of Fast Hartley Transform in parallel manner on Graphics Processing Unit, using CUDA technology is presented in this paper. Calculating FHT in parallel, using multiple threads, gives us huge improvement in calculation speed. Developed CUDA based parallel algorithm, which experimental results compared with results of CPU based sequential algorithm. Edge detection algorithms can be speed up for large images, performing in frequency domain. Here experiments are done on various edge detection filters and different image sizes, using fast Hartlay transform.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Implementation of Fast Hartley Transform in parallel manner on Graphics Processing Unit, using CUDA technology is presented in this paper. Calculating FHT in parallel, using multiple threads, gives us huge improvement in calculation speed. Developed CUDA based parallel algorithm, which experimental results compared with results of CPU based sequential algorithm. Edge detection algorithms can be [&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":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[36,89,33,3,41],"tags":[1787,14,1786,20,1431,1789],"class_list":["post-11704","post","type-post","status-publish","format-standard","hentry","category-algorithms","category-nvidia-cuda","category-image-processing","category-paper","category-signal-processing","tag-algorithms","tag-cuda","tag-image-processing","tag-nvidia","tag-nvidia-geforce-gt-630","tag-signal-processing"],"views":2398,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/11704","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=11704"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/11704\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=11704"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=11704"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=11704"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}