Network Parallel Computing for SOM Neural Networks
Gilles Labonté, Marc Quintin · Kluwer Academic Publishers eBooks · 2005
This paper presents the implementation of a Self-Organizing Map neural network on a distributed computer composed of heterogeneous workstations in order to speedup the computation and to make better use of available computing resources. The developed application is characterized by its dynamic load balancing schemes and its Java implementation. To demonstrate the performance gained, the above mentioned distributed version of a SOM was put to test by realizing neural networks of various sizes. For relatively large neural networks, the distributed version of the SOM is seen to provide linear speedups.