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The Research and Application of Parallel Generalized Minimal Residual Algorithm Based on Grid MPI Parallel Running Framework

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Information Computing and Applications (ICICA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6377))

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Abstract

Through the research of MPI’s theory and features, the G-MPI parallel program design and running framework have been constructed. Afterwards the design and communication cost of GMRES (m) Algorithm has been studied, so one parallel numerical algorithm, with coarse granularity and low communication cost which is applied to solving the large elastic problems by using boundary element method, has been presented. Through the comparison with the result of the traditional parallel GMRES (m) in MPI, the new parallel algorithm in G-MPI has comparatively higher calculation accuracy and calculation efficiency.

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References

  1. Du, Z.H.: High Performance Computing of Parallel Programming. Tsinghua University Press, Beijing (2001)

    Google Scholar 

  2. Wang, C.H., Zhao, C., Xu, X.G.: Distributed Parallel Computing Environment. Computer Science 30(1), 25–26 (2003)

    MathSciNet  Google Scholar 

  3. Chen, G.L.: Parallel Algorithm Design and Analysis. Science and Technology Press, Beijng (1993)

    Google Scholar 

  4. Bian, X.F.: Message passing parallel programming environment. Fujian PC 6, 28–29 (2003)

    Google Scholar 

  5. Yang, A.M., Chen, Y.M.: MPI parallel programming environment and the research of program design. Hebei Institute of Technology 3, 41–44 (2005)

    Google Scholar 

  6. Zhang, Y.J.: The design and implementation based on MPI parallel program running framework. Master Thesis of Beijing University of Posts and Telecommunications (2008)

    Google Scholar 

  7. MPI-2: Extension to the Message Passing Interface, http://www.mpi-forum.org

  8. http://www.lam-mpi.org

  9. Yang, A.M., Liu, C.F.: The Research and Application of the Parallel Algorithm for QR Decomposition of Matrix. In: Dcabse 2006 Proceedings, pp. 29–32 (2006)

    Google Scholar 

  10. Yu, C.X.: The Krylov subspace-based FMM IGMRES (m) the new algorithm and its application. Technology of Hebei University 9, 448–455 (2006)

    Google Scholar 

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© 2010 Springer-Verlag Berlin Heidelberg

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Tang, Y., Luo, J., Hao, Y. (2010). The Research and Application of Parallel Generalized Minimal Residual Algorithm Based on Grid MPI Parallel Running Framework. In: Zhu, R., Zhang, Y., Liu, B., Liu, C. (eds) Information Computing and Applications. ICICA 2010. Lecture Notes in Computer Science, vol 6377. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16167-4_49

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  • DOI: https://doi.org/10.1007/978-3-642-16167-4_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16166-7

  • Online ISBN: 978-3-642-16167-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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