• DocumentCode
    703848
  • Title

    An approximate voting scheme for reliable computing

  • Author

    Ke Chen ; Lombardi, Fabrizio ; Jie Han

  • Author_Institution
    Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
  • fYear
    2015
  • fDate
    9-13 March 2015
  • Firstpage
    293
  • Lastpage
    296
  • Abstract
    This paper relies on the principles of inexact computing to alleviate the issues arising in static masking by voting for reliable computing. A scheme that utilizes approximate voting is proposed; it is referred to as inexact double modular redundancy (IDMR). IDMR does not resort to triplication, thus saving overhead due to modular replication; moreover, this scheme is adaptive in its operation, i.e., it allows a threshold to determine the validity of the module outputs. IDMR operates by initially establishing the difference between the values of the outputs of the two modules; only if the difference is below a preset threshold, then the voter calculates the average value of the two module outputs. An extensive analysis of the voting circuits and an application to image processing are presented.
  • Keywords
    image processing; reliability; IDMR; approximate voting scheme; image processing; inexact computing; inexact double modular redundancy; modular replication; module outputs; reliable computing; static masking; voting circuits; Complexity theory; Delays; PSNR; Redundancy; Tunneling magnetoresistance; Approximate computing; Modular Redundancy; Reliable system; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015
  • Conference_Location
    Grenoble
  • Print_ISBN
    978-3-9815-3704-8
  • Type

    conf

  • Filename
    7092400