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A Purely Distributed Approach for Coupling Scientific and Engineering Applications

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Computational Science and Its Applications - ICCSA 2006 (ICCSA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3984))

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Abstract

In recent years, developments in computational sciences have enabled scientists to create sophisticated software tools and techniques that have contributed to the development of high accuracy numerical models that are used to study physical phenomena. The next level of sophistication addresses the integration or coupling of one or more computational models to simulate a more complex physical system. These coupled systems, are generally multidisciplinary in nature and are now emerge in a broad spectrum of fields in science and engineering such are Earth Sciences, Fusion Energy, Structural Engineering and Astrophysics. This paper presents an introduction to the Distributed Coupling Toolkit (DCT). This library tool provides a user friendly and scalable approach to formulate model coupling in distributed computer environments.

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References

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Author information

Authors and Affiliations

  1. Department of Chemical and Nuclear Engineering, Polytechnic University of Valencia,  

    Vicente Berbegall & Gumersindo Verdú

  2. Department of Computer Systems and Computation, Polytechnic University of Valencia, 46022 Camino de Vera s/n, Valencia, Spain

    Vicente Vidal

  3. Computational Research Division, Lawrence Berkeley National Laboratory, 94720 One Cyclotron Road, MS 50F 1650, Berkeley, CA

    L. A. Drummond

Authors
  1. Vicente Berbegall
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  2. L. A. Drummond
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  3. Gumersindo Verdú
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  4. Vicente Vidal
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Calgary,, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

  2. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

  3. William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA

    Vipin Kumar

  4. OptimaNumerics Ltd.,, Cathedral House 23-31 Waring Street, BT1 2DX, Belfast, UK

    C. J. Kenneth Tan

  5. Clayton School of IT, Monash University, 3800, Clayton, Australia

    David Taniar

  6. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, I-06123, Perugia, Italy

    Antonio Laganá

  7. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  8. School of Information and Communication Engineering, Sungkyunkwan University, Korea

    Hyunseung Choo

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© 2006 Springer-Verlag Berlin Heidelberg

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Berbegall, V., Drummond, L.A., Verdú, G., Vidal, V. (2006). A Purely Distributed Approach for Coupling Scientific and Engineering Applications. In: Gavrilova, M.L., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3984. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751649_21

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  • DOI: https://doi.org/10.1007/11751649_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34079-9

  • Online ISBN: 978-3-540-34080-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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