• DocumentCode
    3019402
  • Title

    Nanodevice-based novel computing paradigms and the neuromorphic approach

  • Author

    Zhao, Weisheng ; Querlioz, Damien ; Klein, Jacques-Olivier ; Chabi, Djaafar ; Chappert, Claude

  • Author_Institution
    IEF, Univ. Paris-Sud, Orsay, France
  • fYear
    2012
  • fDate
    20-23 May 2012
  • Firstpage
    2509
  • Lastpage
    2512
  • Abstract
    Deep submicron (<;90nm) Integrated Circuits (IC) suffer from both high static and dynamic power consumption, which are caused respectively by the growing leakage currents and large capacitance bus traffic. Nanodevice based novel computing paradigms are currently under intense investigation to overcome these issues and build up the next generation ICs performing with higher power efficiency and operating performance. In this paper, an overview and current status of this field is first presented, and then we focus on the memristive nanodevices based neuromorphic approach, which is considered as one of the most promising computing paradigms for power reduction and process variation or defect tolerance.
  • Keywords
    leakage currents; low-power electronics; memristors; nanoelectronics; neural nets; deep submicron integrated circuit; defect tolerance; dynamic power consumption; large capacitance bus traffic; leakage current; memristive nanodevice; nanodevice-based novel computing paradigm; neuromorphic approach; next generation IC; operating performance; power efficiency; power reduction; process variation; static power consumption; Conductors; Integrated circuits; Materials; Memristors; Nanobioscience; Temperature distribution; Unsupervised learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2012 IEEE International Symposium on
  • Conference_Location
    Seoul
  • ISSN
    0271-4302
  • Print_ISBN
    978-1-4673-0218-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.2012.6271812
  • Filename
    6271812