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Optimization of the parallel semi-Lagrangian scheme to overlap computation with communication based on grouping levels in YHGSM

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Abstract

In the semi-Lagrangian interpolation scheme of Yin-he Global Spectral model (YHGSM), communication needs to be performed before interpolation, resulting in significant communication overhead. To solve this problem, we propose an optimized scheme that overlaps computation with communication based on grouping levels. The scheme divides the vertical levels into three groups and overlaps the computation of one group with communication of another. Experimental results show that our scheme can reduce the running time for the semi-Lagrangian scheme by 12.5% and effectively reduce the communication overhead of the model, improving the efficiency of YHGSM.

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Acknowledgements

This research is funded by the National Natural Science Foundation of China (41875121).

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Authors and Affiliations

  1. College of Computer Science and Electronic Engineering, Hunan University, Lushan South Road, Changsha, 410082, Hunan, China

    Dazheng Liu, Wenjuan Liu, Liangrui Pan & Yutao Dou

  2. College of Meteorology and Oceanography, National University of Defense Technology, Deya Road, Changsha, 410073, Hunan, China

    Dazheng Liu & Jianping Wu

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  1. Dazheng Liu
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  2. Wenjuan Liu
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Correspondence to Jianping Wu.

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Liu, D., Liu, W., Pan, L. et al. Optimization of the parallel semi-Lagrangian scheme to overlap computation with communication based on grouping levels in YHGSM. CCF Trans. HPC 6, 68–77 (2024). https://doi.org/10.1007/s42514-023-00163-x

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