Achieving Supercomputer Performance for Neural Net Simulation with an Array of Digital Signal Processors
Issue No. 05 - September/October (1992 vol. 12)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/40.166714
<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>
P. Kohler, U. A. Muller, W. Guggenbuhl, A. Gunzinger and B. Baumle, "Achieving Supercomputer Performance for Neural Net Simulation with an Array of Digital Signal Processors," in IEEE Micro, vol. 12, no. , pp. 55-65, 1992.