• DocumentCode
    2349279
  • Title

    Fault Masking and Diagnosis in Reversible Circuits

  • Author

    Zamani, Masoud ; Farazmand, Navid ; Tahoori, Mehdi B.

  • Author_Institution
    Electr. & Comput. Eng., Northeastern Univ. Boston, Boston, MA, USA
  • fYear
    2011
  • fDate
    23-27 May 2011
  • Firstpage
    69
  • Lastpage
    74
  • Abstract
    Reversible logic is a promising design methodology, particularly in the scope of quantum computing, for extremely low power consumption by elimination of power dissipation due to information loss. Anticipated high fault rates for future technologies raise demand for fault tolerance in reversible logic. In this paper we propose fault masking techniques (to prevent error propagation) for reversible logic. We present different implementations of reversible majority voters. Using voter insertion techniques and taking advantage of available non-functional outputs, we are able to provide diagnosis information with adjustable resolution for reversible circuits. Such diagnosability has important applications in manufacturing testing as well as online repair. In contrast to previous work this voter is robust against single point of failure. We target missing and repeated gate fault models which are specific to reversible logic.
  • Keywords
    fault diagnosis; fault tolerance; logic circuits; quantum computing; diagnosis information; fault masking; fault tolerance; manufacturing testing; power consumption; power dissipation; quantum computing; reversible logic circuit; voter insertion technique; Benchmark testing; Circuit faults; Fault diagnosis; Integrated circuit modeling; Logic gates; Robustness; Tunneling magnetoresistance; Fault masking; Majority voter; Reversible logic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Test Symposium (ETS), 2011 16th IEEE European
  • Conference_Location
    Trondheim
  • ISSN
    1530-1877
  • Print_ISBN
    978-1-4577-0483-3
  • Electronic_ISBN
    1530-1877
  • Type

    conf

  • DOI
    10.1109/ETS.2011.19
  • Filename
    5957925