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Abstract

This chapter explains the techniques of hybrid parallel execution to establish 10,000 more parallel executions and reduce communication time. Several terms are defined in the discussion of hybrid parallel execution. In addition, actual examples of hardware and programming for parallel execution are shown. Finally, an experimental methodology to develop hybrid MPI execution is shown.

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Notes

  1. 1.

    Performance goes down dramatically if a programmer does not carefully think about optimization of memory access due to frequently far memory accesses on the ccNUMA organization. Hence, even if users can use such a machine with a large amount of memory, the users may not obtain the desired performance of parallel execution.

References

  1. Manual for Large-Scale Visualization System UV2000, Information Technology Center (Nagoya University, 2016), http://www.icts.nagoya-u.ac.jp/ja/sc/pdf/uv2000manual_20160311.pdf

  2. P.S. Pacheco, Parallel Programming with MPI (Morgan Kaufmann, 1996)

    Google Scholar 

  3. NVIDIA NVLINK, http://www.nvidia.com/object/nvlink.html

  4. ScaLAPACK―Scalable Linear Algebra PACKage, http://www.netlib.org/scalapack/

  5. LAPACK–Linear Algebra PACKage, http://www.netlib.org/lapack/

  6. BLAS (Basic Linear Algebra Subprograms), http://www.netlib.org/blas/

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Correspondence to Takahiro Katagiri .

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© 2019 Springer Nature Singapore Pte Ltd.

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Katagiri, T. (2019). Hybrid Parallelization Techniques. In: Geshi, M. (eds) The Art of High Performance Computing for Computational Science, Vol. 1. Springer, Singapore. https://doi.org/10.1007/978-981-13-6194-4_4

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  • DOI: https://doi.org/10.1007/978-981-13-6194-4_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6193-7

  • Online ISBN: 978-981-13-6194-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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