{"id":154457,"date":"2007-01-01T00:00:00","date_gmt":"2007-01-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/a-critical-look-at-the-tab-benchmark-for-physical-design-tools\/"},"modified":"2024-02-28T13:16:09","modified_gmt":"2024-02-28T21:16:09","slug":"a-critical-look-at-the-tab-benchmark-for-physical-design-tools","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/a-critical-look-at-the-tab-benchmark-for-physical-design-tools\/","title":{"rendered":"A critical look at the TAB benchmark for physical design tools"},"content":{"rendered":"<div class=\"asset-content\">\n<p>There has recently been considerable research on physical design tuning algorithms. At the same time, there is only one published methodology to evaluate the quality of different, competing approaches: the TAB benchmark. In this paper we describe our experiences with TAB. We first report an experimental evaluation of TAB on our latest prototype for physical design tuning. We then identify certain weakness in the benchmark and briefly comment on alternatives to improve its usefulness.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>There has recently been considerable research on physical design tuning algorithms. At the same time, there is only one published methodology to evaluate the quality of different, competing approaches: the TAB benchmark. In this paper we describe our experiences with TAB. We first report an experimental evaluation of TAB on our latest prototype for physical [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13561],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-154457","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-algorithms","msr-locale-en_us"],"msr_publishername":"Association for Computing Machinery, 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