A Neural Network Simulator for the Connnection Machine

In this paper we describe the design, development, and performance of a neural network simulator for the Connection Machine (CM)3. The design of the simulator is based on the Rochester Connectionist Simulator(RCS). RCS is a simulator for connectionist networks developed at the University of Rochester. The CM simulator can be used as a stand-alone system or as a high-performance parallel back-end to RCS. In the latter case, once the network has been built by RCS, the high-performance parallel back-end system constructs an equivalent network on the CM processor array and executes it. The CM simulator facilitates the exploitation of the massive parallelism inherent in connectionist networks. It can also enable substantial reduction in the training times of connectionist networks