A Probabilistic Collocation Method Based Statistical Gate Delay Model Considering Process Variations and Multiple Input Switching

  • Authors:
  • Y. Satish Kumar;Jun Li;Claudio Talarico;Janet Wang

  • Affiliations:
  • Univ. of Arizona;-;Univ. of Arizona;Univ. of Arizona

  • Venue:
  • Proceedings of the conference on Design, Automation and Test in Europe - Volume 2
  • Year:
  • 2005

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Abstract

Since the advent of new nanotechnologies, the variability of gate delay due to process variations has become a major concern.This paper proposes a new gate delay model that includes impact from both process variations and multiple input switching.The proposed model uses orthogonal polynomial based probabilistic collocation method to construct a delay analytical equation from circuit timing performance.From the experimental results, our approach has less that 0.2% error on the mean delay of gates and less than 3% error on the standard deviation.