Graphic processing unit (GPU), which contains hundreds of processing cores, is becoming a popular device for high performance computation in multi-core era. With strictly computation regularity characteristic, specific algorithms are key challenges for performance speed-up. In this paper, we propose a parallel CUDA-Mikami routing algorithm on NVIDIA’s GPU. A 32-bit routing grid encoding is proposed to simplify wire intersection identification and wire direction recognition. Furthermore, thread-level and warp-level line probing techniques are proposed for vertical and horizontal routings, respectively. The experimental results indicate that the run-time efficiency is promising as compared to traditional CPUversion algorithms.<\/p>\n","protected":false},"excerpt":{"rendered":"
Graphic processing unit (GPU), which contains hundreds of processing cores, is becoming a popular device for high performance computation in multi-core era. With strictly computation regularity characteristic, specific algorithms are key challenges for performance speed-up. In this paper, we propose a parallel CUDA-Mikami routing algorithm on NVIDIA’s GPU. A 32-bit routing grid encoding is proposed […]<\/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":[1787,1782,14,20,974],"class_list":["post-7403","post","type-post","status-publish","format-standard","hentry","category-algorithms","category-computer-science","category-nvidia-cuda","category-paper","tag-algorithms","tag-computer-science","tag-cuda","tag-nvidia","tag-nvidia-geforce-gtx-580"],"views":2051,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/7403","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=7403"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/7403\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=7403"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=7403"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=7403"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}