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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. ...
Fast and accurate analysis of large-scale composite structures with the parallel multilevel fast multipole algorithm
(Optical Society of America, 2013)
Accurate electromagnetic modeling of complicated optical structures poses several challenges. Optical metamaterial and plasmonic structures are composed of multiple coexisting dielectric and/or conducting parts. Such ...