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Issue No.05 - September/October (1992 vol.12)
pp: 55-65
ABSTRACT
<p>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.</p>
CITATION
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, September/October 1992, doi:10.1109/40.166714
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