MLFMA memory reduction techniques for solving large-scale problems
2014 IEEE Antennas and Propagation Society International Symposium (APSURSI)
749 - 750
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We present two memory reduction methods for the parallel multilevel fast multipole algorithm. One of these methods uses data structures out of core, and the other parallelizes the data structures related to input geometry. With these methods, large-scale electromagnetic scattering problems can be solved on modest parallel computers. © 2014 IEEE.
Large-scale electromagnetic scatterings
Multi-level fast multi-pole algorithm
Electromagnetic wave scattering