Correlation-preserved non-Gaussian statistical timing analysis with quadratic timing model

@article{Zhang2005CorrelationpreservedNS,
  title={Correlation-preserved non-Gaussian statistical timing analysis with quadratic timing model},
  author={Lizheng Zhang and Weijen Chen and Yu Hen Hu and John A. Gubner and Charlie Chung-Ping Chen},
  journal={Proceedings. 42nd Design Automation Conference, 2005.},
  year={2005},
  pages={83-88}
}
Recent study shows that the existing first order canonical timing model is not sufficient to represent the dependency of the gate delay on the variation sources when processing and operational variations become more and more significant. Due to the nonlinearity of the mapping from variation sources to the gate/wire delay, the distribution of the delay is no longer Gaussian even if the variation sources are normally distributed. A novel quadratic timing model is proposed to capture the non… CONTINUE READING
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