• DocumentCode
    2389428
  • Title

    SPIN: a sequential pipelined neurocomputer

  • Author

    Vassiliadis, S. ; Pechanek, G.G. ; Delgado-Frias, J.G.

  • Author_Institution
    IBM, Endicott, NY, USA
  • fYear
    1991
  • fDate
    10-13 Nov 1991
  • Firstpage
    74
  • Lastpage
    81
  • Abstract
    A novel digital network architecture, the sequential pipelined neurocomputer (SPIN), is proposed. The SPIN processor emulates neural networks, producing high performance with minimal hardware by sequentially processing each neuron in the modeled completely connected network with a pipelined physical neuron structure. In addition to describing SPIN, performance equations are estimated for the ring systolic, the recurrent systolic array, and the neuromimetic neurocomputer architectures, three previously reported schemes for the emulation of neural networks, and a comparison with the SPIN architecture is reported
  • Keywords
    neural nets; parallel processing; pipeline processing; systolic arrays; SPIN processor; digital network architecture; neural networks; neuromimetic neurocomputer architectures; recurrent systolic array; ring systolic array; sequential pipelined neurocomputer; Computer architecture; Costs; Emulation; Equations; Neural network hardware; Neural networks; Neurons; Recurrent neural networks; Systolic arrays; Tree data structures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools for Artificial Intelligence, 1991. TAI '91., Third International Conference on
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    0-8186-2300-4
  • Type

    conf

  • DOI
    10.1109/TAI.1991.167078
  • Filename
    167078