Portal de Periódicos da CAPES

NeuSim: A Modular Neural Networks Simulator for Beowulf Clusters

2001; Springer Science+Business Media; Linguagem: Inglês

10.1007/3-540-45723-2_8

1611-3349

Carlos J. García–Orellana, Ramón Gallardo‐Caballero, Horacio M. González–Velasco, Francisco Javier López Aligué,

Stochastic Gradient Optimization Techniques

We present a neural networks simulator that we have called NeuSim, designed to work in Beowulf clusters. We have been using this simulator during the last years over several architectures and soon we want to distribute it under GPL license. In this work we offer a detailed description of the simulator, as well as the performance results obtained with a Beowulf cluster of 24 nodes.