Statistical leakage minimization through joint selection of gate sizes, gate lengths and threshold voltage

  • Authors:
  • Sarvesh Bhardwaj;Yu Cao;Sarma Vrudhula

  • Affiliations:
  • Arizona State University, Tempe, AZ;Arizona State University, Tempe, AZ;Arizona State University, Tempe, AZ

  • Venue:
  • ASP-DAC '06 Proceedings of the 2006 Asia and South Pacific Design Automation Conference
  • Year:
  • 2006

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Abstract

This paper proposes a novel methodology for statistical leakage minimization of digital circuits. A function of mean and variance of the circuit leakage is minimized with constraint on α-percentile of the delay using physical delay models. Since the leakage is a strong function of the threshold voltage and gate length, considering them as design variables can provide significant amount of power savings. The leakage minimization problem is formulated as a multivariable convex optimization problem. We demonstrate that statistical optimization can lead to more than 37% savings in nominal leakage compared to worst-case techniques that perform only gate sizing.