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Parallelization of the DAO atmospheric general circulation model

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Applied Parallel Computing Large Scale Scientific and Industrial Problems (PARA 1998)

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

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Abstract

In this paper we present a parallel Atmospheric General Circulation Model currently under development at the NASA Data Assimilation Office. The constituent simulation parameterizations of the AGCM are briefly described, and the parallelization strategy discussed. The key performance obstacles to attaining target benchmarks are treated, as well as our plans for code optimization. We also present the most current benchmarks arising from the this High Performance Computing and Communications Initiative Grand Challenge project.

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References

  1. L. L. Takacs, A. Molod, and T. Wang. Documentation of the Goddard Earth Observing System (GEOS) General Circulation Model—Version 1. Technical Memorandum 104606, NASA Code 910.3, 1994.

    Google Scholar 

  2. A. da Silva and J. Guo. Documentation of the Physical-space Statistical Analysis System (PSAS). DAO Office Note 96-02, NASA Code 910.3, 1996.

    Google Scholar 

  3. MPI Forum. MPI: A Message-Passing Interface Standard. International Journal of Supercomputer Applications, 8(3&4):157–416, 1994.

    Google Scholar 

  4. C. H. Q. Ding and R. D. Ferraro. Climate Data Assimilation on a Massively Parallel Supercomputer. In Proceedings Supercomputing ’96. ACM-IEEE, 1996.

    Google Scholar 

  5. DAO staff. Algorithm Theoretical Basis Document. NASA Technical Memorandum, NASA Code 910.3, 1996.

    Google Scholar 

  6. M. J. Suárez and L. L. Takacs. Documentation of the ARIES/GEOS Dynamical Core: Version 2. NASA Technical Memorandum 104606, NASA Code 910.3, 1995.

    Google Scholar 

  7. D. S. Schaffer and M. J. Suárez. Next Stop: Teraflop; The Parallelization of an Atmospheric General Circulation Model. In A. Tentner, editor, Proceedings of High Performance Computing 1998. SCS, 1998.

    Google Scholar 

  8. A. Mirin, W. Dannevik, P. Eltgroth, M. Wehner J. Brown, and B. Chan. Performance of a Portable, Parallel Atmospheric General Circulation Model. In R. Sincovec, editor, Proceedings of the Sixth SIAM Conference on Parallel Processing for Scientific Computing. SIAM, 1992.

    Google Scholar 

  9. W. Sawyer, A. da Silva, P. M. Lyster, and L. L. Takacs. Parallel Grid Manipulations in Earth Science Calculations. In VECPAR 1998 Proceedings. Faculdade de Engenharia da Universidade do Porto, 1998.

    Google Scholar 

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Bo Kågström Jack Dongarra Erik Elmroth Jerzy Waśniewski

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© 1998 Springer-Verlag Berlin Heidelberg

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Sawyer, W. et al. (1998). Parallelization of the DAO atmospheric general circulation model. 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/BFb0095375

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  • DOI: https://doi.org/10.1007/BFb0095375

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65414-8

  • Online ISBN: 978-3-540-49261-0

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