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International Work-Conference on Artificial Neural Networks

IWANN 2001: Bio-Inspired Applications of Connectionism pp 72–79Cite as

NeuSim: A Modular Neural Networks Simulator for Beowulf Clusters

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2085))

Abstract

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.

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Author information

Authors and Affiliations

  1. Dpto. de Electrónica. Facultad de Ciencias, Universidad de Extremadura, Avd. de Elvas, s/n, 06071, Badajoz, SPAIN

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

Authors
  1. Carlos J. García Orellana
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  2. Ramón Gallardo Caballero
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  3. Horacio M. González Velasco
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  4. Francisco J. López Aligué
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Editor information

Editors and Affiliations

  1. Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, Senda del Rey, s/n., 28040, Madrid, Spain

    José Mira

  2. Departamento de Arquitectura y Tecnología de Computadores, Universidad de Granada, Campus Fuentenueva, 18071, Granada, Spain

    Alberto Prieto

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© 2001 Springer-Verlag Berlin Heidelberg

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Cite this paper

García Orellana, C.J., Gallardo Caballero, R., González Velasco, H.M., López Aligué, F.J. (2001). NeuSim: A Modular Neural Networks Simulator for Beowulf Clusters. In: Mira, J., Prieto, A. (eds) Bio-Inspired Applications of Connectionism. IWANN 2001. Lecture Notes in Computer Science, vol 2085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45723-2_8

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  • DOI: https://doi.org/10.1007/3-540-45723-2_8

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42237-2

  • Online ISBN: 978-3-540-45723-7

  • eBook Packages: Springer Book Archive

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