Neural network simulation on a massively parallel cellular array processor: AAP-2

An implementation of error backpropagation on a massively parallel cellular array processor, AAP-2, is described. Parallel operations of a neural network simulation on the AAP-2 are described, including: allocation of the processors, computing the activation value with a stable-lookup method, and communication between processors. Currently, this simulator on the AAP-2 can run at approximately 18 MCPS (million connections per second), which is 45 times faster at a learning phase than that of the IBM-3090. The results indicate that fine-grained, cellular array computers consisting of a large number of simple processors can be efficient neural network simulators.<
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