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A distributed object-oriented method for particle simulations on clusters

  • Track C2: Computational Science
  • Conference paper
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High-Performance Computing and Networking (HPCN-Europe 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1593))

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Abstract

This paper describes a distributed object-oriented method for solving N-body problem of particle simulations. The method allows dynamic construction of a collaborative system based on the computational requirement of an application and the available resources in the cluster. In the system, a group of objects on distributed hosts cooperate to execute the application. The method is implemented in Java and RMI. The platform-independent features of Java enable the method to support efficient distributed computing in heterogeneous environment. The performance test shows that the method can achieve good speedup and portability. The proposed method can be extended to support other scientific computing applications in distributed environment.

This research was supported by Hong Kong Research Grants Council (RGC) grant 10201696 and The University of Hong Kong CRCG grant 10200544.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Information Systems, The University of Hong Kong, Pokfulam Road, Hong Kong

    Yudong Sun, Zhengyu Liang & Cho-Li Wang

Authors
  1. Yudong Sun
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  2. Zhengyu Liang
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  3. Cho-Li Wang
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Editor information

Peter Sloot Marian Bubak Alfons Hoekstra Bob Hertzberger

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© 1999 Springer-Verlag

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Sun, Y., Liang, Z., Wang, CL. (1999). A distributed object-oriented method for particle simulations on clusters. In: Sloot, P., Bubak, M., Hoekstra, A., Hertzberger, B. (eds) High-Performance Computing and Networking. HPCN-Europe 1999. Lecture Notes in Computer Science, vol 1593. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0100586

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  • DOI: https://doi.org/10.1007/BFb0100586

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65821-4

  • Online ISBN: 978-3-540-48933-7

  • eBook Packages: Springer Book Archive

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