FAST SIMULATION OF A BINARY NEURAL NETWORK ON A MESSAGE PASSING PARALLEL COMPUTER

This text proposes an efficient method for the implementation of the ADAM binary neural network on a message passing parallel computer. Performance examples obtained by testing an implementation on a Transputer based system are presented. It is shown that simulation of an ADAM network can be efficiently sped-up by parallel computation. It is also shown how the overlapping of the computation and communication positively influences performance issues.