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Optimum tactics of parallel multi-grid algorithm with virtual boundary forecast method running on a local network with the PVM platform

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Abstract

In this paper, an optimum tactic of multi-grid parallel algorithm with virtual boundary forecast method is disscussed, and a two-stage implementation is presented. The numerical results of solving a non-linear heat transfer equation show that the optimum implementation is much better than the non-optimum one.

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References

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  9. Guo Qingping. Parallel Multi-Grid Algorithm with Virtual Boundary Forecast Domain Decomposition Method for Solving Non-linear Heat Transfer Equation. submitted to the ICPP-99, held at the University of Aizu, Aizu-Wakamatsu, Fukushima, Japan, September 21–24, 1999.

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Authors and Affiliations

  1. Computer Science Department, Wuhan Transportation University, 430063, Wuhan, P.R. China

    Guo Qingping, Zhang Shesheng, Dennis Parkinson & Wei Jianing

  2. Queen Mary & Westfield College, University of London, E1 4NS, U.K.

    Yakup Paker

Authors
  1. Guo Qingping
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  2. Yakup Paker
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  3. Zhang Shesheng
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  4. Dennis Parkinson
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  5. Wei Jianing
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Corresponding author

Correspondence to Guo Qingping.

Additional information

Research supported by the UK Royal Society joint project (the Royal SocietyQ724) and the National Natural Science Foundation of China (NNSFC grant No. 69773021)

GUO Qingping is a proferssor, Director of Parallel Processing Lab, Wuhan Transportation University, visiting professor of the UK Royal Society. He was born in 1945, graduated from Wuhan University in 1968, from Huazhong University of Science & Technology in 1981 for further study. He was a 1994 K.C. Wong Award holder of the UK Royal Society. His research interests include distributed parallel processing, network computing, network security.

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Guo, Q., Paker, Y., Zhang, S. et al. Optimum tactics of parallel multi-grid algorithm with virtual boundary forecast method running on a local network with the PVM platform. J. Comput. Sci. & Technol. 15, 355–359 (2000). https://doi.org/10.1007/BF02948871

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  • DOI: https://doi.org/10.1007/BF02948871

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