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Article Dans Une Revue Lecture Notes in Computer Science Année : 2000

Parallelization of Neural Networks using PVM

Résumé

We use Neural Networks (NN) in order to design control architectures for autonomous mobile robots. With PVM, it is possible to spawn different parts of a NN on different workstations. Specific message passing functions using PVM are included into the NN architecture. A graphical interface helps the user spawning the NN architecture and monitors the messages exchanged between the different subparts of the NN. The message passing mechanism is efficient for real time applications. We show an example of image processing used for robot control. Current version used is PVM 3.4.3 for Solaris and Linux

Dates et versions

hal-00426248 , version 1 (23-10-2009)

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Mathias Quoy, Sorin Moga, Philippe Gaussier, Arnaud Revel. Parallelization of Neural Networks using PVM. Lecture Notes in Computer Science, 2000, 1908/2000, pp.289-296. ⟨10.1007/3-540-45255-9⟩. ⟨hal-00426248⟩
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