Moment-Based Power Estimation in Very Deep Submicron Technologies

  • Authors:
  • Alberto Garcia-Ortiz;Lukusa Kabulepa;Tudor Murgan;Manfred Glesner

  • Affiliations:
  • Darmstadt University of Technology;Darmstadt University of Technology;Darmstadt University of Technology;Darmstadt University of Technology

  • Venue:
  • Proceedings of the 2003 IEEE/ACM international conference on Computer-aided design
  • Year:
  • 2003

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Abstract

The significant power optimization possibilities in the early stagesof the design flow advice the use of energy evaluation techniquesat high levels of abstraction. With this aim, the present work addressesthe estimation of the energy consumption in very deep submicrontechnologies. Using the characterization of the probabilitydensity function with a projection in an orthogonal polynomialbase, and a symbolic propagation mechanism, a technique is presentedto estimate the dynamic and static power consumption indigital systems. The proposed approach has been validated withcircuits and excitations from realistic applications. Comparisonswith reference transistor and bit level simulations are reported inorder to asses the the accuracy of the technique.