The following paper has been accepted for presentation in DAC 2017
(ACM/IEEE Design Automation Conference).
- Song Bian, Michihiro Shintani, Masayuki Hiromoto, and Takashi Sato:
“LSTA: Learning-Based Static Timing Analysis for High-Dimensional Correlated On-Chip Variations,” in Proc. of ACM/IEEE Design Automation Conference (DAC) (Austin, TX), June 2017 (to appear).