• DocumentCode
    2089482
  • Title

    Autonomous Design in VLSI: An In-House Universal Cellular Neural Platform

  • Author

    Krundel, Ludovic A. ; Mulvaney, David J. ; Chouliaras, Vassilios A.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Loughborough Univ., Loughborough, UK
  • fYear
    2010
  • fDate
    5-7 July 2010
  • Firstpage
    464
  • Lastpage
    466
  • Abstract
    Improved on-chip circuit densities have enabled the practical realization of increasingly demanding applications. Microelectronics design now faces a number of challenges: hardware has become more complex to describe making it a more arduous process for designs to pass verification and the proportion of a design that is covered by testing is reduced increasing the likelihood of bugs in the final hardware device. To meet these challenges while more effectively exploiting the larger silicon areas now available, methods that enable autonomous design have become highly desirable and thus novel ones are proposed hereby.
  • Keywords
    VLSI; cellular neural nets; integrated circuit design; VLSI; bugs; in-house universal cellular neural platform; microelectronics design; on-chip circuit densities; Artificial neural networks; Hardware; Integrated circuit modeling; Microelectronics; Neurons; Robots; System-on-a-chip;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI (ISVLSI), 2010 IEEE Computer Society Annual Symposium on
  • Conference_Location
    Lixouri, Kefalonia
  • Print_ISBN
    978-1-4244-7321-2
  • Type

    conf

  • DOI
    10.1109/ISVLSI.2010.29
  • Filename
    5572745