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

Authors

Hidayetoğlu, Mert
Karaosmanoğlu, Barışcan
Gürel, Levent

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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.

Source Title

CEM'13 Computational Electromagnetics International Workshop

Publisher

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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Permalink

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

Published Version (Please cite this version)

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

Collections

Scholarly Publications - Electrical and Electronics Engineering
Scholarly Publications - BİLCEM

Language

English

Type

Conference Paper