• DocumentCode
    2475318
  • Title

    On the multiple fault detection of a nano crossbar

  • Author

    Lombardi, Fabrizio ; Park, Nohpill ; Almurib, Haider A F ; Kumar, T. Nandha

  • Author_Institution
    Dept. of ECE, Northeastern Univ., Boston, MA, USA
  • fYear
    2012
  • fDate
    3-5 Oct. 2012
  • Firstpage
    134
  • Lastpage
    139
  • Abstract
    This paper proposes an approach for testing a nano crossbar switch; fault detection is considered in the presence of faulty switches and nets in the crossbar. To ensure detection, a one-to-one (onto) relationship in the setting (programming) of the switches is established in each of the configurations of the crossbar. This is accomplished using a constant-sum transformation of the characteristic matrix of the crossbar by utilizing different graph algorithms in O(N4, 5) where N is the matrix dimension. Matrix properties are related to graph algorithms to generate permutation matrices as corresponding to the configurations (phases) of the crossbar. Simulation results are provided to further substantiate the validity of the proposed approach to test nano crossbars of very large dimension and with different switch distribution.
  • Keywords
    fault diagnosis; graph theory; matrix algebra; switches; characteristic matrix; constant-sum transformation; graph algorithms; matrix dimension; multiple fault detection; nanocrossbar switch; one-to-one relationship; permutation matrices; switch distribution; Decision support systems; Discrete Fourier transforms; Fault detection; Fault tolerance; Fault tolerant systems; Nanotechnology; Very large scale integration; Crossbar; Nanotechnology; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), 2012 IEEE International Symposium on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4673-3043-5
  • Type

    conf

  • DOI
    10.1109/DFT.2012.6378213
  • Filename
    6378213