Leakage power optimization with dual-Vth library in high-level synthesis

  • Authors:
  • Xiaoyong Tang;Hai Zhou;Prith Banerjee

  • Affiliations:
  • Magma Design Automation, Inc, Santa Clara, CA;Northwestern University, Evanston, IL;University of Illinois at Chicago, Chicago, IL

  • Venue:
  • Proceedings of the 42nd annual Design Automation Conference
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper we address the problem of module selection during high-level synthesis. We present a heuristic algorithm for leakage power optimization based on the maximum weight independent set problem. A dual threshold voltage (Vth) technique is used to reduce leakage energy consumption in a data flow graph. Experiments are performed on a data-path dominated test suite of six benchmarks. Our approach achieves an average of 70.9% leakage power reduction, which is very close to the optimal results from an Integer Linear Programming approach.