Use of statistical timing analysis on real designs

  • Authors:
  • A. Nardi;E. Tuncer;S. Naidu;A. Antonau;S. Gradinaru;T. Lin;J. Song

  • Affiliations:
  • Magma Design Automation - Santa Clara, California;Magma Design Automation - Santa Clara, California;Magma Design Automation - Santa Clara, California;Magma Design Automation - Santa Clara, California;Magma Design Automation - Santa Clara, California;Magma Design Automation - Santa Clara, California;Magma Design Automation - Santa Clara, California

  • Venue:
  • Proceedings of the conference on Design, automation and test in Europe
  • Year:
  • 2007

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Abstract

A vast literature has been published on Statistical Static Timing Analysis (SSTA), its motivations, its different implementations and their runtime/accuracy trade-offs. However, very limited literature exists ([1]) on the applicability and the usage models of this new technology on real designs. This work focuses on the use of SSTA in real designs and its practical benefits and limitations over the traditional design flow. We introduce two new metrics to drive the optimization: skew criticality and aggregate sensitivity. Practical benefits of SSTA are demonstrated for clock tree analysis, and correct modeling of on-chip-variations. The use of SSTA to cover the traditional corner analysis and to drive optimization is also discussed. Results are reported on three designs implemented on a 90nm technology.