A unified framework for statistical timing analysis with coupling and multiple input switching

  • Authors:
  • D. Sinha;Hai Zhou

  • Affiliations:
  • Dept. of Electr. & Comput. Eng.,, Northwestern Univ., Evanston, IL, USA;Dept. of Electr. & Comput. Eng.,, Northwestern Univ., Evanston, IL, USA

  • Venue:
  • ICCAD '05 Proceedings of the 2005 IEEE/ACM International conference on Computer-aided design
  • Year:
  • 2005

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Abstract

As technology scales to smaller dimensions, increasing process variations, coupling induced delay variations and multiple input switching effects make timing verification extremely challenging. In this paper, we establish a theoretical framework for statistical timing analysis with coupling and multiple input switching. We prove the convergence of our proposed iterative approach and discuss implementation issues under the assumption of a Gaussian distribution for the parameters of variation. A statistical timer based on our proposed approach is developed and experimental results are presented for the IS-CAS benchmarks. We juxtapose our timer with a single pass, non iterative statistical timer that does not consider the mutual dependence of coupling with timing and another statistical timer that handles coupling deterministically. Monte Carlo simulations reveal a distinct gain (up to 24%) in accuracy by our approach in comparison to the others mentioned.