NN-SSTA: A deep neural network approach for statistical static timing analysis
作者：
Highlights：
• A DNN model for statistical operations in SSTA with linear-time complexity.
• Using a deep learning approach to approximate the convolution of RVs.
• Extended statistical maximum operations are proposed to reduce the runtime.
摘要
•A DNN model for statistical operations in SSTA with linear-time complexity.•Using a deep learning approach to approximate the convolution of RVs.•Extended statistical maximum operations are proposed to reduce the runtime.
论文关键词：Statistical timing analysis,Statistical operation,Deep neural network,Deep learning,Critical path,Delay
论文评审过程：Received 15 November 2019, Revised 21 January 2020, Accepted 12 February 2020, Available online 17 February 2020, Version of Record 21 February 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113309
