MLFMA memory reduction techniques for solving large-scale problems

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MLFMA memory reduction techniques for solving large-scale problems.pdf (761.49 KB)

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2014

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Abstract

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.

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2014 IEEE Antennas and Propagation Society International Symposium (APSURSI)

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IEEE

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Keywords

Algorithms, Data structures, Large-scale electromagnetic scatterings, Large-scale problem, Memory reduction, Multi-level fast multi-pole algorithm, Out-of-core, Parallel computer, Electromagnetic wave scattering

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http://hdl.handle.net/11693/27718

Published Version (Please cite this version)

http://dx.doi.org/10.1109/APS.2014.6904704

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Scholarly Publications - BİLCEM

Language

English

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Conference Paper