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SABER: Selection of Approximate Bits for the Design of Error Tolerant Circuits

Published:18 June 2017Publication History

ABSTRACT

A wide variety of error tolerant applications supports the use of approximate circuits that achieve power savings by introducing small errors. This paper proposes a fast and novel algorithm for the design of such circuits with the goal of maximizing power savings, constrained by a fixed error budget, through an analytical expression to optimally select the number of bits to be approximated. This algorithm outperforms uniform approximation schemes by over 30% in power savings, with negligible computational overhead.

References

  1. J. Han and M. Orshansky, "Approximate Computing: An Emerging Paradigm For Energy-Efficient Design," in Proc. ETS, pp. 1--6, 2013.Google ScholarGoogle ScholarCross RefCross Ref
  2. M. Shafique, et al., "Invited - Cross-layer Approximate Computing: From Logic to Architectures," in Proc. DAC, pp. 99:1--99:6, 2016. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. J. Huang, et al., "A Methodology for Energy-Quality Tradeoff Using Imprecise Hardware," in Proc. DAC, pp. 504--509, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. E. Swartzlander, "Truncated Multiplication with Approximate Rounding," in Proc. 33rd Asilomar Conf. Signals, Systems, Computers, vol. 2, pp. 1480--1483, 1999.Google ScholarGoogle Scholar
  5. V. Gupta, et al., "Low-Power Digital Signal Processing Using Approximate Adders," IEEE Trans. Comput.-Aided Design Integr. Circuits Syst., vol. 32, no. 1, pp. 124--137, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. J. M. Jou, et al., "Design of Low-error Fixed-width Multipliers for DSP Applications," IEEE Trans. Circuits Syst. II, Exp. Briefs, vol. 46, no. 6, pp. 836--842, 1999.Google ScholarGoogle ScholarCross RefCross Ref
  7. L. Chen, et al., "Design of Approximate Unsigned Integer Non-restoring Divider for Inexact Computing," in Proc. GLSVLSI, pp. 51--56, 2015. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. F. S. Snigdha, et al., "Optimal Design of JPEG Hardware Under the Approximate Computing Paradigm," in Proc. DAC, pp. 106:1--106:6, 2016. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. S. Venkataramani, et al., "SALSA: Systematic Logic Synthesis of Approximate Circuits," in Proc. DAC, pp. 796--801, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. K. Nepal, et al., "ABACUS: A Technique for Automated Behavioral Synthesis of Approximate Computing Circuits," in Proc. DAC, pp. 1--6, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. C. Li, et al., "Joint Precision Optimization and High Level Synthesis for Approximate Computing," in Proc. DAC, pp. 1--6, 2015. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. L. B. Soares, et al., "Approximate Adder Synthesis for Area- and Energy-efficient FIR Filters in CMOS VLSI," in Proc. NEWCAS, pp. 1--4, 2015.Google ScholarGoogle Scholar
  13. B. Parhami, Computer Arithmetic: Algorithms and Hardware Designs. New York, NY: Oxford University Press, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. H. R. Mahdiani, et al., "Bio-inspired Imprecise Computational Blocks for Efficient VLSI Implementation of Soft-computing Applications," IEEE Trans. Circuits Syst. I, Reg. Papers, vol. 57, no. 4, pp. 850--862, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. "MARSYAS Data Sets." http://marsyasweb.appspot.com/download/data_sets/.Google ScholarGoogle Scholar
  16. G. Tzanetakis and P. Cook, "Musical Genre Classification of Audio Signals," IEEE Speech Audio Process., vol. 10, no. 5, pp. 293--302, 2002.Google ScholarGoogle ScholarCross RefCross Ref
  17. L. Aksoy, et al., "A Tutorial on Multiplierless Design of FIR Filters: Algorithms and Architectures," Circuits, Systems, and Signal Processing, vol. 33, no. 6, pp. 1689--1719, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. A. V. Oppenheim and A. S. Willsky, Signals and Systems. New Jersey, NJ: Prentice-Hall, 1997. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  • Published in

    cover image ACM Conferences
    DAC '17: Proceedings of the 54th Annual Design Automation Conference 2017
    June 2017
    533 pages
    ISBN:9781450349277
    DOI:10.1145/3061639

    Copyright © 2017 ACM

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    Publication History

    • Published: 18 June 2017

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