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International Workshop on Applied Parallel Computing

PARA 1998: Applied Parallel Computing Large Scale Scientific and Industrial Problems pp 476–482Cite as

Ship design optimization

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1541))

Abstract

This contribution is devoted to exploiting the analogy between a modern manufacturing plant and a heterogeneous parallel computer to construct a HPCN decision support tool for ship designers. The application is a HPCN one because of the scale of shipbuilding—a large container vessel is constructed by assembling about 1.5 million atomic components in a production hierarchy. The role of the decision support tool is to rapidly evaluate the manufacturing consequences of design changes. The implementation as a distributed multiagent application running on top of PVM is described.

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References

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Author information

Authors and Affiliations

  1. The Maersk Mc-Kinney Moller Institute for Production Technology, Odense University and IT Department, Odense Steel Shipyard Ltd, Odense, Denmark

    Claus Risager & John W. Perram

Authors
  1. Claus Risager
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  2. John W. Perram
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Editor information

Bo Kågström Jack Dongarra Erik Elmroth Jerzy Waśniewski

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© 1998 Springer-Verlag Berlin Heidelberg

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Risager, C., Perram, J.W. (1998). Ship design optimization. In: Kågström, B., Dongarra, J., Elmroth, E., Waśniewski, J. (eds) Applied Parallel Computing Large Scale Scientific and Industrial Problems. PARA 1998. Lecture Notes in Computer Science, vol 1541. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0095371

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  • DOI: https://doi.org/10.1007/BFb0095371

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65414-8

  • Online ISBN: 978-3-540-49261-0

  • eBook Packages: Springer Book Archive

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