Energy Awareness and Uncertainty in Microarchitecture-Level Design

  • Authors:
  • Diana Marculescu;Emil Talpes

  • Affiliations:
  • Carnegie Mellon University;Carnegie Mellon University

  • Venue:
  • IEEE Micro
  • Year:
  • 2005

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Abstract

The authors present microarchitecture-level statistical models for characterizing process and system parameter variability, concentrating on gate length and on-chip temperature variations. To assess the effect of microarchitecture decisions on these variations, and vice versa, they propose a joint performance, power, and variability metric that distinguishes among various design choices.