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JCOGIN: a programming framework for particle transport on combinatorial geometry

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Abstract

Domain-specific programming frameworks are usually effective to simplify the development of large-scale applications on supercomputers. This paper introduces a parallel programming framework named JCOGIN for particle transport on combinatorial geometry. JCOGIN provides a combinatorial geometry data model and a patch-based parallel computing model to manage the data distribution in parallel computing and implements the hybrid parallelism of the domain decomposition and the particle parallelism on MPI/OpenMP to overcome the bottleneck of huge memory demand and long computational time. The application programming interface of JCOGIN can support users to quickly develop their parallel particle transport applications. Based on this framework, users only need to write serial codes for large-scale numerical simulations on modern supercomputers. The parallel efficiency of applications based on JCOGIN can reach up to 80% on hundreds of thousands of CPU cores.

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Acknowledgements

This paper is supported by National Key Research and Development Program of China (2016YFB0201303), Defense Industrial Technology Development Program (C1520110002), and National Natural Science Foundation of China (11805017).

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Authors and Affiliations

  1. Institute of Applied Physics and Computational Mathematics, Beijing, China

    Baoyin Zhang, Zeyao Mo, Xin Wang, Wei Wang, Gang Li, Aiqing Zhang & Xiaolin Cao

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  1. Baoyin Zhang
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  2. Zeyao Mo
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  3. Xin Wang
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  4. Wei Wang
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  5. Gang Li
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  6. Aiqing Zhang
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  7. Xiaolin Cao
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Correspondence to Zeyao Mo.

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Zhang, B., Mo, Z., Wang, X. et al. JCOGIN: a programming framework for particle transport on combinatorial geometry. J Supercomput 77, 11270–11287 (2021). https://doi.org/10.1007/s11227-021-03711-w

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