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A process variation aware low power synthesis methodology for fixed-point FIR filters

Published:27 August 2007Publication History

ABSTRACT

In this paper, we present a novel FIR filter synthesis technique that allows aggressive voltage scaling by exploiting the fact that all filter coefficients are not equally important to obtain a "reasonably accurate" filter response. Our technique implements a Level Constrained Common Subexpression Elimination (LCCSE) algorithm, where we can constrain the number of adder levels required to compute each of the coefficient outputs. By specifying a tighter constraint (in terms of number of adders in the critical path) on the important coefficients, we ensure that the later computational steps compute only the less important coefficient outputs. In case of delay variations due to voltage scaling and/or process variations, only the less important outputs are affected, resulting in graceful degradation of filter quality. The proposed architecture, therefore, lends itself to aggressive voltage scaling for low-power dissipation even under process parameter variations. Under extreme process variation and supply voltage scaling (0.8V), filters implemented in BPTM 70 nm technology show an average power savings of 25-30% with minor degradation in filter response.

References

  1. K. Parhi, VLSI Digital Signal Processing Systems: Design and Implementation, Wiley, NY 1999.Google ScholarGoogle Scholar
  2. R. M. Hewlitt et al., "Canonical signed digit representation for FIR digital filters",SIPS 2001, pp. 416--426.Google ScholarGoogle Scholar
  3. C. Yao et al., "A Novel Common-Subexpression-Elimination Method for Synthesizing Fixed-Point FIR Filters" , TCAS-1, vol 51, 2004, pp. 2215--2211.Google ScholarGoogle Scholar
  4. Y. Takahashi et al., "New Cost-effective VLSI Impl. of Multiplierless FIR Filter using Common Subexpression Elimination", ISCAS 2005, pp. 1445--1448.Google ScholarGoogle Scholar
  5. A. Hosangadi et al., "Algebraic Methods for Optimizing ConstantallMultiplications in Linear Systems", VLSI Signal Processing, March 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. S. Borkar et al., "Parameter variations and impact on circuits and micro--architecture", DAC 2003, pp. 338--342. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Synopsys, http://www.synopsys.com.Google ScholarGoogle Scholar
  8. Predictive Technology Model, http://www.eas.asu.edu/~ptm/Google ScholarGoogle Scholar
  9. Y.C. Lim et al., "Discrete coefficient FIR digital filter design based upon an LMS criteria," IEEE TCAS, volume 30, 1983, pp. 723--739.Google ScholarGoogle Scholar
  10. J.G. Proakis et al. "Digital Signal Processing:Principles, Algorithms and Applications", Prentice Hall, NJ, 1996. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. C.H. Kim et al., "On-die CMOS leakage current sensor for measuring process variation in sub-90nm generations", Symp. of VLSI Circuits, 2004,pp.250--251.Google ScholarGoogle ScholarCross RefCross Ref

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  1. A process variation aware low power synthesis methodology for fixed-point FIR filters

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      cover image ACM Conferences
      ISLPED '07: Proceedings of the 2007 international symposium on Low power electronics and design
      August 2007
      432 pages
      ISBN:9781595937094
      DOI:10.1145/1283780

      Copyright © 2007 ACM

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      Publication History

      • Published: 27 August 2007

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