PowerShake: a low power driven clustering and factoring methodology for Boolean expressions

  • Authors:
  • S. Roy;H. Arts;P. Banerjee

  • Affiliations:
  • Ambit Design Systems, Santa Clara;Ambit Design Systems, Santa Clara;Center for Parallel & Distributed Computing, Northwestern University

  • Venue:
  • Proceedings of the conference on Design, automation and test in Europe
  • Year:
  • 1998

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Abstract

This paper describes algebraic techniques that target low power consumption. A unique power cost function based on de-composed factored form representation of a Boolean expression is introduced to guide the structural transformations. Circuits synthesized by the SIS and POSE consume 54.5% and 10.4% more power than that obtained by our tool respectively.