Optimization of high-performance superscalar architectures for energy efficiency

  • Authors:
  • V. Zyuban;P. Kogge

  • Affiliations:
  • Computer Science & Eng. Dept., University of Notre Dame, IN;Computer Science & Eng. Dept., University of Notre Dame, IN

  • Venue:
  • ISLPED '00 Proceedings of the 2000 international symposium on Low power electronics and design
  • Year:
  • 2000

Quantified Score

Hi-index 0.01

Visualization

Abstract

In recent years reducing power has become a critical design goal for high-performance microprocessors. This work attempts to bring the power issue to the earliest phase of high-performance microprocessor development. We propose a methodology for power-optimization at the micro-architectural level. First, major targets for power reduction are identified within superscalar microarchitecture, then an optimization of a superscalar micro-architecture is performed that generates a set of energy-efficient configurations forming a convex hull in the power-performance space. The energy-efficient families are then compared to find configurations that dissipate the lowest power given a performance target, or, conversely, deliver the highest performance given a power budget. Application of the developed methodology to a superscalar micro-architecture shows that at the architectural level there is a potential for reducing power up to 50%, given a performance requirement, and for up to 15% performance improvement, given a power budget.