{"id":4439,"date":"2011-06-23T13:13:24","date_gmt":"2011-06-23T13:13:24","guid":{"rendered":"http:\/\/hgpu.org\/?p=4439"},"modified":"2011-06-23T13:13:24","modified_gmt":"2011-06-23T13:13:24","slug":"case-study-runtime-reduction-of-a-buffer-insertion-algorithm-using-gpu-parallel-programming","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=4439","title":{"rendered":"Case study: Runtime reduction of a buffer insertion algorithm using GPU parallel programming"},"content":{"rendered":"<p>In this paper, we present a case study on runtime reduction of VLSI CAD programs using parallel computing. Specifically, we parallelize a buffer insertion algorithm that minimizes power dissipation. We choose Graphic Processing Units (GPUs) as the low-cost hardware that supports parallel computing. We redesign the algorithm data structure to accommodate GPU based computing. As a result, we are able to achieve an average speedup of 3.43 and the peak speedup of 6.18.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this paper, we present a case study on runtime reduction of VLSI CAD programs using parallel computing. Specifically, we parallelize a buffer insertion algorithm that minimizes power dissipation. We choose Graphic Processing Units (GPUs) as the low-cost hardware that supports parallel computing. We redesign the algorithm data structure to accommodate GPU based computing. As [&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":[36,11,3],"tags":[1787,596,1782,534],"class_list":["post-4439","post","type-post","status-publish","format-standard","hentry","category-algorithms","category-computer-science","category-paper","tag-algorithms","tag-cad","tag-computer-science","tag-electronic-design-automation"],"views":1855,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/4439","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=4439"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/4439\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4439"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4439"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4439"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}