• DocumentCode
    1587862
  • Title

    An improved architecture for the interconnections in a multi-chip CNN system

  • Author

    Salerno, Mario ; Sargeni, F. ; Bonaiuto, Vincenzo

  • Author_Institution
    Dept. of Electron. Eng., Rome Univ., Italy
  • Volume
    3
  • fYear
    1998
  • Firstpage
    143
  • Abstract
    The design and realisation of reliable hardware CNN systems with a high number of cells is a key point in research in this field. On this topic, several different solutions have been proposed in VLSI implementations. In previously published papers, the authors presented current-mode interconnection-oriented integrated circuits to realise wide CNN networks. The multi-chip architecture shows the drawback to be a pad-limited structure because of the growing number of the pads required by the interconnections. In this paper a technique to improve the interconnection architecture without any lack of functionality will be presented. This approach will drastically cut the interconnection requirements by 75%. Some simulation results are presented together with experimental results
  • Keywords
    VLSI; cellular neural nets; integrated circuit interconnections; neural chips; VLSI implementations; functionality; interconnection architecture; multi-chip CNN system; neural ICs; Cellular neural networks; Integrated circuit interconnections; Joining processes; Manufacturing; Neural network hardware; Reliability engineering; Silicon; Surges; Time division multiple access; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on
  • Conference_Location
    Monterey, CA
  • Print_ISBN
    0-7803-4455-3
  • Type

    conf

  • DOI
    10.1109/ISCAS.1998.703930
  • Filename
    703930