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)

Date

2013

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Source Title

CEM'13 Computational Electromagnetics International Workshop

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Publisher

IEEE

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Pages

34 - 37

Language

English

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Conference Paper

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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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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