• DocumentCode
    3431182
  • Title

    Arithmetic for digital neural networks

  • Author

    Zhang, D. ; Jullien, G.A. ; Miller, W.C. ; Swartzlander, Earl, Jr.

  • Author_Institution
    Dept. of Electr. Eng., Windsor Univ., Ont., Canada
  • fYear
    1991
  • fDate
    26-28 Jun 1991
  • Firstpage
    58
  • Lastpage
    63
  • Abstract
    The implementation of large input digital neurons using designs based on parallel counters is described. The implementation of the design uses a two-cell library, in which each cell is implemented using switching trees which are pipelined binary trees of n-channel transistors. Results obtained from initial switching trees realized with a 3-μm CMOS process indicate that the design is capable of being pipelined at 40 MHz sample rates, with better performance expected for more advanced technologies. It appears feasible to develop a wafer-scale implementation with 2000 neurons (each with 1000 inputs) that would perform 3×1012 additions/s
  • Keywords
    CMOS integrated circuits; digital arithmetic; neural nets; CMOS process; arithmetic; digital neural networks; n-channel transistors; parallel counters; pipelined binary trees; sample rates; switching trees; two-cell library; wafer-scale implementation; Binary trees; Computer architecture; Counting circuits; Digital arithmetic; Libraries; Neural network hardware; Neural networks; Neurons; Transistors; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Arithmetic, 1991. Proceedings., 10th IEEE Symposium on
  • Conference_Location
    Grenoble
  • Print_ISBN
    0-8186-9151-4
  • Type

    conf

  • DOI
    10.1109/ARITH.1991.145534
  • Filename
    145534