A parallel directional Fast Multipole Method
Abstract
This paper introduces a parallel directional fast multipole method (FMM) for solving N-body problems with highly oscillatory kernels, with a focus on the Helmholtz kernel in three dimensions. This class of oscillatory kernels requires a more restrictive low-rank criterion than that of the low-frequency regime, and thus effective parallelizations must adapt to the modified data dependencies. We propose a simple partition at a fixed level of the octree and show that, if the partitions are properly balanced between p processes, the overall runtime is essentially O(N log N/p+ p). By the structure of the low-rank criterion, we are able to avoid communication at the top of the octree. We demonstrate the effectiveness of our parallelization on several challenging models.
Cite
@article{arxiv.1311.4257,
title = {A parallel directional Fast Multipole Method},
author = {Austin R. Benson and Jack Poulson and Kenneth Tran and Björn Engquist and Lexing Ying},
journal= {arXiv preprint arXiv:1311.4257},
year = {2018}
}