• DocumentCode
    2254842
  • Title

    A general mathematical model of probabilistic ripple-carry adders

  • Author

    Lau, Mark S K ; Ling, Keck-voon ; Chu, Yun-Chung ; Bhanu, Arun

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2010
  • fDate
    8-12 March 2010
  • Firstpage
    1100
  • Lastpage
    1105
  • Abstract
    Probabilistic CMOS is considered a promising technology for future generations of computing devices. By embracing possibly incorrect calculations, the technology makes it possible to trade correctness of circuit operations for potentially significant energy saving. For systematic design of probabilistic circuits, accurate mathematical models are indispensable. To this end, we propose a model of probabilistic ripple-carry adders. Compared to existing models, ours is applicable under a wide range of noise assumptions, including the popular additive-noise assumption. Our model provides recursive equations that can accurately capture propagation of carry errors. The proposed model is validated by HSPICE simulation, and we find that the model is able to predict multi-bit error-rates of a simulated probabilistic ripple-carry adder with reasonable accuracy.
  • Keywords
    CMOS integrated circuits; SPICE; adders; carry logic; circuit simulation; error statistics; integrated circuit design; probability; HSPICE simulation; additive-noise assumption; carry error propagation; energy saving; mathematical model; multibit error-rate; probabilistic CMOS technology; probabilistic circuit design; probabilistic ripple-carry adder; recursive equation; systematic design; Adders; Birth disorders; CMOS technology; Equations; Error probability; Logic circuits; Logic gates; Mathematical model; Power engineering and energy; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design, Automation & Test in Europe Conference & Exhibition (DATE), 2010
  • Conference_Location
    Dresden
  • ISSN
    1530-1591
  • Print_ISBN
    978-1-4244-7054-9
  • Type

    conf

  • DOI
    10.1109/DATE.2010.5456973
  • Filename
    5456973