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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Practical Aspects on the Implementation of Iterative ANN Models on GPU Technology
verfasst von : Mario I. Chacon-Murguia, Jorge A. Cardona-Soto
Erschienen in: Recent Advances on Hybrid Intelligent Systems
Verlag: Springer Berlin Heidelberg
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There has been an increasing use of the graphic processing unit (GPU) in many areas including artificial neural networks (ANN) for several years. However, reported works concentrate on the application itself and not on the methodology used to implement the ANN model in the GPU. This paper presents a set of practical aspect to be considered by new GPU user in the implementation of ANN in GPUs. To illustrate the proposed aspects, the paper describes the realization of the Pulse Coupled Neural Network (PCNN), an iterative model, following these aspects and discusses the problematic of synchronization presented in this and other ANN models that is not treated in other works.