• DocumentCode
    2799672
  • Title

    Improved Fault Diagnosis for Reversible Circuits

  • Author

    Zhang, Hongyan ; Wille, Robert ; Drechsler, Rolf

  • Author_Institution
    Inst. of Comput. Sci., Univ. of Bremen, Bremen, Germany
  • fYear
    2011
  • fDate
    20-23 Nov. 2011
  • Firstpage
    207
  • Lastpage
    212
  • Abstract
    Reversible circuits rely on an entirely different computing paradigm allowing to perform computations not only from the primary inputs to the primary outputs but also vice versa. Recently, first physical realizations based on this paradigm have been introduced in the domain of quantum computation and low-power circuits. This puts key test challenges for the future on the table. While first steps towards testing such circuits have been made (e.g. fault models and appropriate ATPG methods have been introduced), fault diagnosis has hardly been considered so far. In this paper, we consider the application of fault diagnosis methods for reversible circuits. In particular, we propose a new fault diagnosis approach which explicitly exploits the advantageous properties of reversible circuits. Experiments show that even though conventional methods can be applied to reversible circuits, improvements of more than one order of magnitude are achieved if reversibility is explicitly exploited.
  • Keywords
    automatic test pattern generation; fault diagnosis; integrated circuit modelling; integrated circuit testing; logic circuits; low-power electronics; ATPG methods; computing paradigm; fault diagnosis; low-power circuits; physical realizations; quantum computation; reversible circuits; Automatic test pattern generation; Circuit faults; Dictionaries; Encoding; Fault diagnosis; Integrated circuit modeling; Logic gates;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Test Symposium (ATS), 2011 20th Asian
  • Conference_Location
    New Delhi
  • ISSN
    1081-7735
  • Print_ISBN
    978-1-4577-1984-4
  • Type

    conf

  • DOI
    10.1109/ATS.2011.29
  • Filename
    6114540