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High performance computing for flood simulation using Telemac based on hybrid MPI/OpenMP parallel programming

机译:基于混合MPI / OpenMP并行编程的Telemac高性能洪水仿真计算

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Usually simulations on environment flood issues will face the scalability problem of large scale parallel computing. The plain parallel technique based on pure MPI is difficult to have a good scalability due to the large number of domain partitioning. Therefore, the hybrid programming using MPI and OpenMP is introduced to deal with the issue of scalability. This kind of parallel technique can give a full play to the strengths of MPI and OpenMP. During the parallel computing, OpenMP is employed by its efficient fine grain parallel computing and MPI is used to perform the coarse grain parallel domain partitioning for data communications. Through the tests, the hybrid MPI/OpenMP parallel programming was used to renovate the finite element solvers in the BIEF library of Telemac. It was found that the hybrid programming is able to provide helps for Telemac to deal with the scalability issue.
机译:通常,对环境洪水问题的模拟将面临大规模并行计算的可伸缩性问题。由于大量的域划分,基于纯MPI的普通并行技术很难具有良好的可伸缩性。因此,引入了使用MPI和OpenMP的混合编程来解决可伸缩性问题。这种并行技术可以充分发挥MPI和OpenMP的优势。在并行计算期间,OpenMP通过其高效的细粒度并行计算而使用,MPI用于执行数据通信的粗粒度并行域划分。通过测试,MPI / OpenMP混合并行编程被用于翻新Telemac BIEF库中的有限元求解器。发现混合编程能够为Telemac处理可伸缩性问题提供帮助。

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