Accurate waveform modeling using singular value decomposition with applications to timing analysis

  • Authors:
  • Anand Ramalingam;Ashish Kumar Singh;Sani R. Nassif;Michael Orshansky;David Z. Pan

  • Affiliations:
  • The University of Texas, Austin, TX;The University of Texas, Austin, TX;The University of Texas, Austin, TX;The University of Texas, Austin, TX;The University of Texas, Austin, TX

  • Venue:
  • Proceedings of the 44th annual Design Automation Conference
  • Year:
  • 2007

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Abstract

It is known that ramp-based models are not sufficient for accurate timing modeling. In this paper, we develop a technique that accurately models the waveforms, and also allows a flexible trade-off of accuracy vs. computational and representational cost. The technique is based on Singular Value Decomposition (SVD) and it naturally leads to a more general gate delay model which can be applied in any timing analysis engine with minor modifications. We demonstrate its application in timing analysis by propagating a waveform along a path. When compared with Spice, the proposed model shows good accuracy.