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Achieving Supercomputer Performance for Neural Net Simulation with an Array of Digital Signal Processors
September/October 1992 (vol. 12 no. 5)
pp. 55-65

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.

Citation:
Urs A. Muller, Bernhard Baumle, Peter Kohler, Anton Gunzinger, Walter Guggenbuhl, "Achieving Supercomputer Performance for Neural Net Simulation with an Array of Digital Signal Processors," IEEE Micro, vol. 12, no. 5, pp. 55-65, Sept.-Oct. 1992, doi:10.1109/40.166714
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