• DocumentCode
    3313207
  • Title

    The applications of memristor devices in next-generation cortical processor designs

  • Author

    Hai Li ; Beiye Liu ; Xiaoxiao Liu ; Mengjie Mao ; Yiran Chen ; Qing Wu ; Qinru Qiu

  • Author_Institution
    Electr. & Comput. Eng., Univ. of Pittsburgh, Pittsburgh, PA, USA
  • fYear
    2015
  • fDate
    24-27 May 2015
  • Firstpage
    17
  • Lastpage
    20
  • Abstract
    Discovery of memristor opened a new era of the research on universal memory thanks to many attractive properties demonstrated by this emerging device. In this paper, we switch our research focus to neuromorphic computing, which, same as memory technology, significantly benefits from the technical advances of memristor. Particularly, we present the implementation of cortical processor augmented with neuromorphic computing accelerators (NCAs) for cognitive applications, including: 1) the design details and basic operations of the NCA based on memristor crossbars; and 2) the integration between conventional pipeline and NCAs. At the end, we also discuss the scalability of our proposed NCA designs.
  • Keywords
    memristors; neural chips; NCA designs; cognitive applications; memory technology; memristor crossbars; memristor devices; neuromorphic computing accelerators; next-generation cortical processor designs; pipeline; universal memory; Biological neural networks; Memristors; Neuromorphics; Neurons; Pipelines; System-on-chip; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2015 IEEE International Symposium on
  • Conference_Location
    Lisbon
  • Type

    conf

  • DOI
    10.1109/ISCAS.2015.7168559
  • Filename
    7168559