Neural Network Parallel Data Flow Processor Architecture

Exploiting neural networks native parallelism and interconnection locality, dedicated parallel hardware implementation of neural network is essential for effective use of these strong computation facilities in time-critical applications. The architecture proposed in this paper is a parallel stream processor which can be configured as a number of different neural networks. The architecture is an especial collection of configurable data-flow processing elements with a custom FIFO-based cache architecture which is designed to fill the gap between the slowness of the external memory and the processor

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