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High-level versus low-level DO-loop parallelization: Results for one testcase of a multi-block solver on a shared memory parallel vector computer

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High-Performance Computing and Networking (HPCN-Europe 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1401))

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Abstract

Within the NICE project, supported by the Dutch Foundation HPCN, the multi-block solver for Navier-Stokes equations ENSOLV is being parallelized. Results of the block-loop parallelization of ENSOLV on a 16 processor NEC SX-4, a shared memory parallel vector computer, are presented and compared to those of low-level DO-loop parallelization implemented earlier. The conclusion is that the block loop parallelization gives better speed-up, requires more memory, and gives overall less execution costs.

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References

  1. A. Kassies, M. Amato, J.C. Kok and S. Bosse, Software Design of ENSOLV, A flow solver for 3D Euler/Navier-Stokes Equations in arbitrary multi-block domains, NLR Contract Report CR 93190 L, 1993.

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  2. A.R. Sukul, Predesign of ENSOLV Parallelization on the NEC SX-4, NLR Technical Report TR 96726 L, 1996.

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  3. M. Laban, Parallelized ENSOLV User Requirements, NLR Technical Report TR 96353 L, 1996.

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  4. P. Wijnandts and M.E.S. Vogels, Coarse-grain parallelization of ENSOLV on the NEC SX-4, NLR Technical Report TR 98050 L, 1998.

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Peter Sloot Marian Bubak Bob Hertzberger

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© 1998 Springer-Verlag Berlin Heidelberg

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Wijnandts, P., Vogels, M.E.S. (1998). High-level versus low-level DO-loop parallelization: Results for one testcase of a multi-block solver on a shared memory parallel vector computer. In: Sloot, P., Bubak, M., Hertzberger, B. (eds) High-Performance Computing and Networking. HPCN-Europe 1998. Lecture Notes in Computer Science, vol 1401. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0037216

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  • DOI: https://doi.org/10.1007/BFb0037216

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64443-9

  • Online ISBN: 978-3-540-69783-1

  • eBook Packages: Springer Book Archive

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