Predictive models and CAD methodology for pattern dependent variability

  • Authors:
  • Nishath Verghese;Richard Rouse;Philippe Hurat

  • Affiliations:
  • Cadence Design Systems, San Jose, CA;Cadence Design Systems, San Jose, CA;Cadence Design Systems, San Jose, CA

  • Venue:
  • Proceedings of the 2008 Asia and South Pacific Design Automation Conference
  • Year:
  • 2008

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Abstract

Lithography, etch and stress are dominant effects impacting the functionality and performance of designs at 65nm and below. This paper discusses pattern dependent variability caused by these effects and discusses a model-based approach to extracting this variability. A methodology to gauge the extent of this pattern dependent variability for standard cells is presented by looking at the difference in transistor parameters when the cell is analyze in different contexts. A full-chip methodology that addresses the delay change due to systematic varation has been introduced to analyze and repair a 65nm digital design.