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Interoperability of GASPI and MPI in Large Scale Scientific Applications

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Parallel Processing and Applied Mathematics (PPAM 2017)

Abstract

One of the main hurdles of a broad distribution of PGAS approaches is the prevalence of MPI, which as a de-facto standard appears in the code basis of many applications. To take advantage of the PGAS APIs like GASPI without a major change in the code basis, interoperability between MPI and PGAS approaches needs to be ensured. In this article, we address this challenge by providing our study and preliminary performance results regarding interoperating GASPI and MPI on the performance crucial parts of the Ludwig and iPIC3D applications. In addition, we draw a strategy for better coupling of both APIs.

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Notes

  1. 1.

    http://www.gpi-site.com/gpi2/benchmarks/.

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Acknowledgement

This work was funded by EU H2020 Research and Innovation programme through the INTERTWinE project (no. 671602). The simulations were performed on resources provided by SNIC at PDC-HPC, KTH.

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Correspondence to Roman Iakymchuk .

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Akhmetova, D. et al. (2018). Interoperability of GASPI and MPI in Large Scale Scientific Applications. In: Wyrzykowski, R., Dongarra, J., Deelman, E., Karczewski, K. (eds) Parallel Processing and Applied Mathematics. PPAM 2017. Lecture Notes in Computer Science(), vol 10778. Springer, Cham. https://doi.org/10.1007/978-3-319-78054-2_26

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  • DOI: https://doi.org/10.1007/978-3-319-78054-2_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-78053-5

  • Online ISBN: 978-3-319-78054-2

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