A Tuned and Scalable Fast Multipole Method as a Preeminent Algorithm for Exascale Systems

@article{Yokota2012ATA,
  title={A Tuned and Scalable Fast Multipole Method as a Preeminent Algorithm for Exascale Systems},
  author={Rio Yokota and Lorena A. Barba},
  journal={IJHPCA},
  year={2012},
  volume={26},
  pages={337-346}
}
Among the algorithms that are likely to play a major role in future exascale computing, the fast multipole method (FMM) appears as a rising star. Our previous recent work showed scaling of an FMM on GPU clusters, with problem sizes in the order of billions of unknowns. That work led to an extremely parallel FMM, scaling to thousands of GPUs or tens of thousands of CPUs. This paper reports on a a campaign of performance tuning and scalability studies using multi-core CPUs, on the Kraken… CONTINUE READING
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