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Training of Neural Networks: Interactive Possibilities in a Distributed Framework

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Recent Advances in Parallel Virtual Machine and Message Passing Interface (EuroPVM/MPI 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2474))

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Abstract

Training of Artificial Neural Networks in a Distributed Environment is considered and applied to a typical example in High Energy Physics interactive analysis. Promising results showing a reduction of the wait time from 5 hours to 5 minutes obtained in a local cluster with 64 nodes are described. Preliminary tests in a wide area network studying the impact of latency time are described; and the future work for integration in a GRID framework, that will be carried in the CrossGrid European Project, is outlined.

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Author information

Authors and Affiliations

  1. Instituto de Física de Cantabria (CSIC-UC), Avda. Los Castros s/n, 39005, Santander, Spain

    O. Ponce, J. Marco, R. Marco, C. Martýnez-Rivero & D. Rodríguez

  2. Facultad de Ciencias, Avda. Calvo Sotelo s/n, 33007, Oviedo, Spain

    J. Cuevas

  3. RedIris CSIC, C/ Serrano 142, Madrid, Spain

    A. Fuentes

  4. Dpto. Electrónica y Computadores, E.T.S.I.I.T., Avda. Los Castros s/n, 39005, Santander, Spain

    R. Menéndez

Authors
  1. O. Ponce
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  2. J. Cuevas
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  3. A. Fuentes
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  4. J. Marco
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  5. R. Marco
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  6. C. Martýnez-Rivero
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  7. R. Menéndez
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  8. D. Rodríguez
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Editor information

Editors and Affiliations

  1. Abteilung für Graphische und Parallele Datenverarbeitung (GUP) Institut für Technische Informatik und Telematik, Johannes Kepler Universität Linz, Altenbergstr. 69, 4040, Linz, Austria

    Dieter Kranzlmüller  & Jens Volkert  & 

  2. Computer and Automation Research Institute, MTA SZTAKI, Hungarian Academy of Sciences, Victor Hugo u. 18-22, 1132, Budapest, Hungary

    Peter Kacsuk

  3. Computer Science Department Innovative Computing Laboratory, University of Tennessee, 1122 Volunteer Blvd, Knoxville, TN, 37996-3450, USA

    Jack Dongarra

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© 2002 Springer-Verlag Berlin Heidelberg

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Ponce, O. et al. (2002). Training of Neural Networks: Interactive Possibilities in a Distributed Framework. In: Kranzlmüller, D., Volkert, J., Kacsuk, P., Dongarra, J. (eds) Recent Advances in Parallel Virtual Machine and Message Passing Interface. EuroPVM/MPI 2002. Lecture Notes in Computer Science, vol 2474. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45825-5_15

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  • DOI: https://doi.org/10.1007/3-540-45825-5_15

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44296-7

  • Online ISBN: 978-3-540-45825-8

  • eBook Packages: Springer Book Archive

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