RAP: a ring array processor for multilayer perceptron applications

A ring array processor (RAP) designed for fast simulation of artificial neural network algorithms is described. The RAP is a multiprocessor system which is particularly targeted in the training of feedforward networks for the recognition of continuous speech. The overall system consists of several four-processor boards serving together as an array processor for a 68020-based host running a real-time operating system. The prototype design includes 64 Mbytes of dynamic memory (expandable to 256) and 4 Mbytes of fast static RAM distributed between 16 processors on four boards. Theoretical peak performance is 512 MFLOPS, and simulations have indicated a sustained throughput of roughly half of this for algorithms of current interest, including communication overhead of roughly 10-30%. Initial tests with the new hardware have confirmed the major assumptions of the estimates from the simulations.<
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