Power yield analysis under process and temperature variations

  • Authors:
  • Kian Haghdad;Mohab Anis

  • Affiliations:
  • Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada;Electronics Engineering Department, The American University in Cairo, New York, NY and Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada

  • Venue:
  • IEEE Transactions on Very Large Scale Integration (VLSI) Systems
  • Year:
  • 2012

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Abstract

In this paper, a method is proposed to accurately estimate the power yield, considering process-induced temperature and supply voltage variations. Process variations impose statistical behavior on the temperature and leakage current. This, in turn, impacts the IR drops due to the variations in the current, drawn off the power grid. By considering the process-induced statistical profile of the temperature and Vdd, the power yield is estimated for a chip. This helps check the robustness of the circuits early in the design process. The experimental results on the ISCAS 89 benchmarks indicate a significant yield loss, if the statistical measures of the temperature and voltage drop are ignored. Monte Carlo simulations verify the accuracy of the developed methodology.