1993
DOI: 10.1117/12.152537
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<title>Performance aspects of mapping neural networks onto a massively parallel SIMD computer</title>

Abstract: In this paper we present and compare three different massively parallel implementations of multilayer feedforward neural networks on a MasPar MP.-1216, a parallel SIMD computer with 16,384 processors. For multilayer feedforward networks we have obtained sustainedrates ofup to 348 MCPS and 129 MCUPS with backpropagation, a high mark for general purpose SIMI) computers. After a brief introduction to SNNS, the paper first focuses on the problems of mapping neural networks to parallel hardware. Different aspects o… Show more

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