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Efficient parallelization of multilevel fast multipole algorithm for electromagnetic simulation on many-core SW26010 processor

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Abstract

A many-core parallel approach of the multilevel fast multipole algorithm (MLFMA) based on the Athread parallel programming model is presented on the homegrown many-core SW26010 CPU of China. In the proposed many-core implementation of MLFMA, the data access efficiency is improved by using data structures based on the structure of array. The adaptive workload distribution strategies are adopted on different MLFMA tree levels to ensure full utilization of computing capability and the scratchpad memory. A double buffering scheme is specially designed to make communication overlapped computation. The resulting Athread-based many-core implementation of the MLFMA is capable of solving real-life problems with over one million unknowns with a remarkable speedup. The capability and efficiency of the proposed method are analyzed through the examples of computing scattering by spheres and a practical aerocraft. Numerical results show that with the proposed parallel scheme, the total speedup ratios from 6.4 to 8.0 can be achieved, compared with the CPU master core.

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Acknowledgements

This work was supported by the National Key R&D Program of China (Grant No. 2017YFB0202500), and the NSFC (Grant Nos. 61971034 and U1730102).

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Authors and Affiliations

  1. Center for Electromagnetic Simulation, Beijing Institute of Technology, Beijing, 100081, China

    Wei-Jia He, Ming-Lin Yang & Xin-Qing Sheng

  2. Computer Network Information Center, Chinese Academy of Sciences, Beijing, 100190, China

    Wu Wang

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  1. Wei-Jia He
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  2. Ming-Lin Yang
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  4. Xin-Qing Sheng
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Correspondence to Ming-Lin Yang.

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He, WJ., Yang, ML., Wang, W. et al. Efficient parallelization of multilevel fast multipole algorithm for electromagnetic simulation on many-core SW26010 processor. J Supercomput 77, 1502–1516 (2021). https://doi.org/10.1007/s11227-020-03308-9

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