• DocumentCode
    1768701
  • Title

    Dynamic computing random access memory: A brain-inspired computing paradigm with memelements

  • Author

    Di Ventra, Massimiliano ; Traversa, Fabio Lorenzo ; Bonani, Fabrizio ; Pershin, Yuriy V.

  • Author_Institution
    Dept. of Phys., Univ. of California San Diego, La Jolla, CA, USA
  • fYear
    2014
  • fDate
    1-5 June 2014
  • Firstpage
    1070
  • Lastpage
    1073
  • Abstract
    We discuss the implementation of a novel approach to computing named memcomputing using memelements - in particular memcapacitive systems. It is shown that solid-state memcapacitive systems are ideal to implement such a concept since they support information processing and storage at the same physical location at low-energy cost. This feature can be used to perform boolean logic functions “on demand” directly in memory. In this paper, we develop the idea of a memcapacitive dynamic computing random access memory introducing a novel computing scheme based on Voltage Sense Amplifiers, and discussing some features of information storage in internal states of memcapacitive systems in the presence of leakage currents.
  • Keywords
    Boolean functions; leakage currents; random-access storage; Boolean logic functions; brain-inspired computing paradigm; information processing; information storage; leakage currents; memcapacitive dynamic computing random access memory; memcomputing; memelements; solid-state memcapacitive systems; voltage sense amplifiers; Logic gates; Metals; Orbits;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2014 IEEE International Symposium on
  • Conference_Location
    Melbourne VIC
  • Print_ISBN
    978-1-4799-3431-7
  • Type

    conf

  • DOI
    10.1109/ISCAS.2014.6865324
  • Filename
    6865324