Systolic processor elements for a neural network

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G06F 1518

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050918648

ABSTRACT:
A neural net signal processor provided with a single layer neural net constituted of N neuron circuits which sums the results of the multiplication of each of N input signals Xj(j=1 to N) by a coefficient mij to produce a multiply-accumulate value ##EQU1## thereof, in which input signals Xj(j=1 to N) for input to the single layer neural net are input as serial input data, comprising: a multiplicity of systolic processor elements SPE-1(i=1 to M), each comprised of a two-state input data delay latch; a coefficient memory; means for multiplying and summing for multiply-accumulate output operations; an accumulator; a multiplexor for selecting a preceding stage multiply-accumulate output Sk(k=1 to i-1) and the multiply-accumulate product Si computed by the said circuit; wherein the multiplicity of systolic processor elements are serially connected to form an element array and element multiply-accumulate output operations are executed sequentially to obtain the serial multiply-accumulate outputs Si(i=1 to M) of one layer from the element array.

REFERENCES:
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patent: 4967369 (1990-10-01), Jourjine
A Universal Digital VLSI Design for Neural Networks; H. C. Fu et al.; Inter. Joint Conf. on Neural Networks--IJCNN; Jun. 19-22, 1989.
Koike, et al., "Special Purpose Machines for Neurocomputing", vol. 29, No. 9, Sep. 1986, pp. 974-983 of the Journal of the Information Pro. Society of Japan.
S. Y. Kung, "Parallel Architectures for Artificial Neural Nets", Digest of the IEEE International Conference on Systolic Arrays, 1988, pp. 163-174.
Massimo A. Sivilotti, et al., "VLSI Architectures for Implementation of Neural Networks", American Institute of Physics, 1986, pp. 408-413.
P. Andrew Penz, et al., "Digital Signal Processor Accelerators for Neural Network Simulations", American Institute of Physics, 1986, pp. 345-355.
Richard P. Lippmann, "An Introduction to Computing with Neural Nets", IEEE ASSP Magazine, Apr. 1987, pp. 4-22.

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