• DocumentCode
    2927209
  • Title

    A stochastic perturbative approach to design a defect-aware thresholder in the sense amplifier of crossbar memories

  • Author

    Haykel Ben Jamaa, M. ; Atienza, David ; Leblebici, Yusuf ; De Micheli, Giovanni

  • Author_Institution
    Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne
  • fYear
    2009
  • fDate
    19-22 Jan. 2009
  • Firstpage
    835
  • Lastpage
    840
  • Abstract
    The use of nanowire crossbars to build devices with large storage capabilities is a very promising architectural paradigm for forthcoming nanoscale memory devices. However, this new type of memory devices raises questions regarding how to test their correct operation. In particular, the variability affecting the decoder is expected to make very complex the test of these new devices. In this paper we present a method to simplify the test of these new devices by using a current thresholder to detect badly addressed nanowires. In the proposed method, the thresholder design is based on a stochastic and perturbative model of the current through the nanowires. Thus, the calculated thresholder parameters are robust against technology variation. As our experimental results indicate, the thresholder error probability is initially only ~10-4, which can be also reduced further (up to ~60times) by trading-off only ~35% area overhead in the memory.
  • Keywords
    amplifiers; integrated memory circuits; nanoelectronics; nanowires; semiconductor device testing; stochastic processes; defect-aware thresholder; nanoscale memory devices; nanowire crossbars; sense amplifier; stochastic perturbative approach; Bridge circuits; Decoding; Error probability; Logic circuits; Nanoscale devices; Stochastic processes; Stochastic resonance; Switches; Switching circuits; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference, 2009. ASP-DAC 2009. Asia and South Pacific
  • Conference_Location
    Yokohama
  • Print_ISBN
    978-1-4244-2748-2
  • Electronic_ISBN
    978-1-4244-2749-9
  • Type

    conf

  • DOI
    10.1109/ASPDAC.2009.4796584
  • Filename
    4796584