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Supercomputer solutions of extremely large problems in electromagnetics: From ten million to one billion unknowns

机译:超级计算机电磁学极大问题的解决方案:从一百万到十亿个未知数

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In this work, an efficient hybrid MPI/OpenMP parallel implementation of the Multilevel Fast Multipole Algorithm - Fast Fourier Transform (MLFMA-FFT) algorithm has been successfully applied to the solution of a challenging electromagnetic problem involving more than one billion unknowns. The MLFMA-FFT was shown to be optimal from the point of view of modern mixed-memory supercomputers, combining the low computational cost of the MLFMA in shared memory computations with the high scalability properties of the FMM-FFT algorithm for the distributed computations.
机译:在这项工作中,已经成功地应用了多级快速多极算法 - 快速傅里叶变换(MLFMA-FFT)算法的高效混合MPI / OpenMP并行实现 - 涉及十亿多个未知数的具有挑战性的电磁问题的解决方案。 从现代混合存储器超级计算机的角度来看,MLFMA-FFT被证明是最佳的,将MLFMA的低计算成本与分布式计算的FMM-FFT算法的高可扩展性特性相结合。

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