Achieving Supercomputer Performance for Neural Net Simulation with an Array of Digital Signal Processors

  • Authors:
  • Urs A. Muller;Bernhard Baumle;Peter Kohler;Anton Gunzinger;Walter Guggenbuhl

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • IEEE Micro
  • Year:
  • 1992

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Abstract

Music, a digital signal processor (DSP)-based system with a parallel distributed-memory architecture that provides enormous computing power yet retains the flexibility of a general-purpose computer, is discussed. It is shown that Music reaches a peak performance of 2.7 Gflops at a significantly lower cost, power consumption, and space requirement than conventional supercomputers. The Music system hardware, programming, and backpropagation implementation are described.