An Implementation of Back-Propagation Learning on GF11, a Large SIMD Parallel Computer

4 Jan 2018Michael WitbrockMarco Zagha

Current connectionist simulations require huge computational resources. We describe a neural network simulator for the IBM GF11, an experimental SIMD machine with 566 processors and a peak arithmetic performance of 11 Gigaflops... (read more)

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