A bridge between two paradigms for parallelism: neural networks and general purpose MIMD computers
Yann Boniface, Frédéric Alexandre, Stéphane Vialle · 2003
Hardware developments have led to the use of shared memory as an efficient parallel programming method. The main goals of the work reported here are to speed up executions and to decrease development time of parallel neural network implementations. To allow for such implementations, a library has been defined, as a bridge between neural networks and general purpose MIMD computer parallelisms.