A Design Model for Random Process Variability

  • Authors:
  • Victoria Wang;Kanak Agarwal;Sani Nassif;Kevin Nowka;Dejan Markovic

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • ISQED '08 Proceedings of the 9th international symposium on Quality Electronic Design
  • Year:
  • 2008

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Abstract

A new approach to analyze process variation through measured current variation is introduced. The methodology concludes with a simple and convenient posynomial model for random process variability to bridge the gap between existingstatistical methods and circuit design. The model contains only design variables: transistor sizes W and L, and operating points Vgs and Vds. Modeling random process variability in this way allows for adaptability to optimization problems, time efficient methods for gathering statistical information in comparison to Monte Carlo, and analternative equation for hand analysis.