Reducing MLFMA memory with out-of-core implementation and data-structure parallelization

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Reducing MLFMA memory with out-of-core implementation and data-structure parallelization.pdf (868.68 KB)

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2013

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Abstract

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. Together, these methods decrease parallel MLFMA memory bottlenecks, and hence fast and accurate solutions can be achieved for largescale electromagnetics problems.

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CEM'13 Computational Electromagnetics International Workshop

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IEEE

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Keywords

Electromagnetics, Memory bottleneck, Multi level fast multipole algorithms (MLFMA), Out-of-core, Out-of-core techniques, Parallelizations, Pre-processing, Electromagnetism, Radiation, Computational electromagnetics

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http://hdl.handle.net/11693/27948

Published Version (Please cite this version)

http://dx.doi.org/10.1109/CEM.2013.6617124

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Scholarly Publications - Electrical and Electronics Engineering
Scholarly Publications - BİLCEM

Language

English

Type

Conference Paper