{"id":4513,"date":"2011-06-30T15:59:52","date_gmt":"2011-06-30T15:59:52","guid":{"rendered":"http:\/\/hgpu.org\/?p=4513"},"modified":"2011-06-30T15:59:52","modified_gmt":"2011-06-30T15:59:52","slug":"fast-variational-static-ir-drop-analysis-on-the-graphical-processing-unit","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=4513","title":{"rendered":"Fast variational static IR-drop analysis on the graphical processing unit"},"content":{"rendered":"<p>Due to large power grid sizes, IR-drop analysis is a computationally challenging design flow step that is commonly used in integrated circuit design. Variability in silicon and circuit operating conditions makes IR-drop analysis even more challenging. We introduce a flow to take benefit of a graphical processing unit (GPU). We introduce variability for the power grid elements through Monte Carlo runs. We provide a fair speed comparison with respect to CPU implementation. We observe speed savings up to 5.7x using the GPU implementation without architecture-specific programming effort.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Due to large power grid sizes, IR-drop analysis is a computationally challenging design flow step that is commonly used in integrated circuit design. Variability in silicon and circuit operating conditions makes IR-drop analysis even more challenging. We introduce a flow to take benefit of a graphical processing unit (GPU). We introduce variability for the power [&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":[11,3],"tags":[1782,534],"class_list":["post-4513","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-paper","tag-computer-science","tag-electronic-design-automation"],"views":2058,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/4513","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=4513"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/4513\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4513"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4513"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4513"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}