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International Conference on Parallel Computing Technologies

PaCT 2015: Parallel Computing Technologies pp 436–444Cite as

On Implementation High-Scalable CFD Solvers for Hybrid Clusters with Massively-Parallel Architectures

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9251))

Abstract

New approach for solving of compressible fluid dynamic problems with complex geometry on Cartesian grids is proposed. It leads to algorithmic uniformity for whole domain and structured memory accesses which are essential for effective implementations on massively-parallel architectures – GPUs. Methods used are based on implicit scheme and LU-SGS method. Novel parallel algorithm for last one is proposed. In-depth analysis of CUDA+MPI implementation (interoperability issues, libraries tuning) scalable up to hundreds GPUs is performed.

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References

  1. Jameson, A., Turkel, E.: Implicit schemes and LU decomposition. Math.of Comp 37, 385–397 (1981)

    MathSciNet  MATH  Google Scholar 

  2. Lin, F., Zhenghong, G., Kan, H., Fang, X.: A multi-block viscous flow solver based on GPU parallel methodology. Comput. Fluids 95, 19–39 (2014)

    Article  MathSciNet  Google Scholar 

  3. Wright, M.J., Candler, G.V.: A data-parallel LU rexation method for reacting viscous flows. In: Ecer, A., Satofuka, N., Periaux, J., Taylor, S. (eds.) Parallel Computational Fluid Dynamics 1995, pp. 67–74. North-Holland, Amsterdam (1996)

    Chapter  Google Scholar 

  4. Menshov, I., Pavlukhin, P.: Numerical Solution of Gas Dynamics Problems on Cartesian Grids with the Use of Hybrid Computing Systems. Preprint of KIAM RAS. vol. 92 (2014)

    Google Scholar 

  5. Menshov, I., Nakamura, Y.: On implicit godunov’s method with exactly linearized numerical flux. Comput. Fluids 29(6), 595–616 (2000)

    Article  Google Scholar 

  6. Menshov, I., Nakamura, Y.: Hybrid explicit-implicit, unconditionally stable scheme for unsteady compressible flows. AIAA J. 42(3), 551–559 (2004)

    Article  Google Scholar 

  7. Pavlukhin, P.: Parallel LU-SGS numerical method implementation for gas dynamics problems on GPU-accelerated computer systems. Vestn. of Lobachevsky State Univ. Nizhni novgorod 1, 213–218 (2013)

    Google Scholar 

  8. “K-100" Supercomputer. http://www.kiam.ru/MVS/resourses/k100.html

  9. CUDA C/C++ Streams and Concurrency. http://on-demand.gputechconf.com/gtc-express/2011/presentations/StreamsAndConcurrencyWebinar.pdf

  10. CUDA Toolkit Documentation. http://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__DEVICE.html

  11. Lomonosov Supercomputer. http://hpc.msu.ru/?q=node/59

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Acknowledgments

This work was supported by grant 14–01–31480 from the Russian Foundation for Basic Research.

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Authors and Affiliations

  1. Keldysh Institute of Applied Mathematics, Moscow, 125047, Russia

    Pavel Pavlukhin & Igor Menshov

  2. Research and Development Institute “Kvant”, Moscow, 125438, Russia

    Pavel Pavlukhin

Authors
  1. Pavel Pavlukhin
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  2. Igor Menshov
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Corresponding author

Correspondence to Pavel Pavlukhin .

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Editors and Affiliations

  1. Russian Academy of Sciences, Novosibirsk, Russia

    Victor Malyshkin

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Pavlukhin, P., Menshov, I. (2015). On Implementation High-Scalable CFD Solvers for Hybrid Clusters with Massively-Parallel Architectures. In: Malyshkin, V. (eds) Parallel Computing Technologies. PaCT 2015. Lecture Notes in Computer Science(), vol 9251. Springer, Cham. https://doi.org/10.1007/978-3-319-21909-7_42

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  • DOI: https://doi.org/10.1007/978-3-319-21909-7_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21908-0

  • Online ISBN: 978-3-319-21909-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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