A Massively-Parallel SIMD Processor for Neural Network and Machine Vision Applications

Part of Advances in Neural Information Processing Systems 6 (NIPS 1993)

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Michael Glover, W. Miller


This paper describes the MM32k, a massively-parallel SIMD com(cid:173) puter which is easy to program, high in performance, low in cost and effective for implementing highly parallel neural network ar(cid:173) chitectures. The MM32k has 32768 bit serial processing elements, each of which has 512 bits of memory, and all of which are inter(cid:173) connected by a switching network. The entire system resides on a single PC-AT compatible card. It is programmed from the host computer using a C++ language class library which abstracts the parallel processor in terms of fast arithmetic operators for vectors of variable precision integers.