Design Automation Conference, DAC 2017


Article Details
Title: LSTA: Learning-Based Static Timing Analysis for High-Dimensional Correlated On-Chip Variations
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Authors: Song Bian
  • Kyoto University, Department of Communications and Computer Engineering
Michihiro Shintani
  • Kyoto University, Department of Communications and Computer Engineering
Masayuki Hiromoto
  • Kyoto University, Department of Communications and Computer Engineering
Takashi Sato
  • Kyoto University, Department of Communications and Computer Engineering
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DBLP Key: conf/dac/BianSHS17
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