论文信息 - Exploiting the Inherent Parallelism of Artificial Neural Networks to Achieve 1300 Million Interconnects per Second

Exploiting the Inherent Parallelism of Artificial Neural Networks to Achieve 1300 Million Interconnects per Second

An artificial neural network implementation on the Connection Machine is presented which performs 1300 million interconnects per second. This implementation exploits training set parallelism and is discussed within the framework provided by the inherent parallelism of ANNs.

Alexander Singer

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