HUI-RU JIANG2023-10-262023-10-262023-01-0197983503234810738100Xhttps://scholars.lib.ntu.edu.tw/handle/123456789/636611Timing analysis and optimization is essential for each stage throughout the entire design flow to achieve timing closure. This talk provides a retrospective and prospective study to highlight two categories of emerging timing challenges: 1) analysis efficiency and scalability, and 2) advanced process effect on timing. We survey recent advances for handling these challenges and provide future research directions in timing.acceleration | machine learning | process effect | timing closure[SDGs]SDG9Lightning Talk: All Routes to Timing Closureconference paper10.1109/DAC56929.2023.102478012-s2.0-85173085998https://api.elsevier.com/content/abstract/scopus_id/85173085998