{"id":5927,"date":"2011-10-17T16:04:06","date_gmt":"2011-10-17T13:04:06","guid":{"rendered":"http:\/\/hgpu.org\/?p=5927"},"modified":"2011-10-17T16:04:06","modified_gmt":"2011-10-17T13:04:06","slug":"an-optimization-for-fast-generation-of-digital-hologram","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=5927","title":{"rendered":"An Optimization for Fast Generation of Digital Hologram"},"content":{"rendered":"<p>Digital hologram generation methods commonly use computer generated hologram (CGH) algorithm. However, it requires complicated computation. Thus, this paper proposes an optimization method for a fast generation of digital hologram. The proposed method uses CUDA and OpenMP for multi-GPU. Also, it applies various optimization methods (variable fixation, vectorization, and loop unrolling) to a CGH algorithm. We verify the effectiveness of our optimization method through a variety of experiment.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Digital hologram generation methods commonly use computer generated hologram (CGH) algorithm. However, it requires complicated computation. Thus, this paper proposes an optimization method for a fast generation of digital hologram. The proposed method uses CUDA and OpenMP for multi-GPU. Also, it applies various optimization methods (variable fixation, vectorization, and loop unrolling) to a CGH algorithm. [&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":[36,11,89,3],"tags":[1787,159,1782,14,20,974,298],"class_list":["post-5927","post","type-post","status-publish","format-standard","hentry","category-algorithms","category-computer-science","category-nvidia-cuda","category-paper","tag-algorithms","tag-computer-holography","tag-computer-science","tag-cuda","tag-nvidia","tag-nvidia-geforce-gtx-580","tag-optimization"],"views":2522,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/5927","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=5927"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/5927\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5927"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=5927"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=5927"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}