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Reducing MLFMA memory with out-of-core implementation and data-structure parallelization
We present two memory-reduction methods for the parallel multilevel fast multipole algorithm (MLFMA). The first method implements out-of-core techniques and the second method parallelizes the pre-processing data structures. ...
Hierarchical parallelization of the multilevel fast multipole algorithm (MLFMA)
Due to its O(N log N) complexity, the multilevel fast multipole algorithm (MLFMA) is one of the most prized algorithms of computational electromagnetics and certain other disciplines. Various implementations of this algorithm ...