• DocumentCode
    1815286
  • Title

    Fast computation with memory circuit elements

  • Author

    Ventra, Massimiliano Di ; Pershin, Yuriy V.

  • Author_Institution
    Dept. of Phys., Univ. of California, San Diego, La Jolla, CA, USA
  • fYear
    2012
  • fDate
    29-31 Aug. 2012
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Memory circuit elements - resistors, capacitors and inductors with memory - are electronic components with great potential in a wide range of applications. In particular, they are ideally suited to enhance all three major computing paradigms: binary, analog and quantum. Here, we consider how to achieve a faster computation with these elements. Specifically, we will show that a binary logic architecture combining memristive and memcapacitive elements requires considerably less steps to process information compared to architectures employing only memristive elements. In addition, we demonstrate that a network of memristive - as well as memcapacitive or meminductive - systems can solve a complex optimization problem - the maze problem - with unprecedented speed due to the analog parallelism afforded by these elements.
  • Keywords
    integrated memory circuits; logic circuits; memristors; optimisation; analog parallelism; binary logic architecture; capacitors; complex optimization problem; electronic components; fast computation; inductors; maze problem; memcapacitive elements; memory circuit elements; memristive elements; resistors; Computer architecture; Logic gates; Materials; Memristors; Nanoscale devices; Optimization; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Nanoscale Networks and Their Applications (CNNA), 2012 13th International Workshop on
  • Conference_Location
    Turin
  • ISSN
    2165-0160
  • Print_ISBN
    978-1-4673-0287-6
  • Type

    conf

  • DOI
    10.1109/CNNA.2012.6331429
  • Filename
    6331429