Reducing MLFMA memory with out-of-core implementation and data-structure parallelization
Date
2013
Advisor
Instructor
Source Title
CEM'13 Computational Electromagnetics International Workshop
Print ISSN
Electronic ISSN
Publisher
IEEE
Volume
Issue
Pages
34 - 37
Language
English
Type
Conference Paper
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Journal ISSN
Volume Title
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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Book Title
Keywords
Electromagnetics, Memory bottleneck, Multi level fast multipole algorithms (MLFMA), Out-of-core, Out-of-core techniques, Parallelizations, Pre-processing, Electromagnetism, Radiation, Computational electromagnetics