A bridge between two paradigms for parallelism : Neural Networks and general purpose MIMD computers.
Abstract
Recent hardware developments have led to use shared memory as an efficient parallel programming way. The main goals of the work reported here are to speed up executions and to decrease development time of parallel neural networks implementations. To allow for such implementations, a library has been defined, as a bridge between neural networks and general purpose MIMD computer parallelisms.