Leveraging high performance data cache techniques to save power in embedded systems

  • Authors:
  • Major Bhadauria;Sally A. McKee;Karan Singh;Gary S. Tyson

  • Affiliations:
  • Computer Systems Lab, School of Electrical and Computer Engineering, Cornell University;Computer Systems Lab, School of Electrical and Computer Engineering, Cornell University;Computer Systems Lab, School of Electrical and Computer Engineering, Cornell University;Department of Computer Science, Florida State University

  • Venue:
  • HiPEAC'07 Proceedings of the 2nd international conference on High performance embedded architectures and compilers
  • Year:
  • 2007

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Abstract

Voltage scaling reduces leakage power for cache lines unlikely to be referenced soon. Partitioning reduces dynamic power via smaller, specialized structures. We combine approaches, adding a voltage scaling design providing finer control of power budgets. This delivers good performance and low power, consuming 34% of the power of previous designs.