A Highly Scalable Parallel Boundary Element Method for Capacitance Extraction
Author(s)
Hsiao, Yu-Chung; Daniel, Luca
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Traditional parallel boundary element methods suffer from low parallel efficiency and poor scalability due to the long system solving time bottleneck. In this paper, we demonstrate how to avoid such a bottleneck by using an instantiable basis function approach. In our demonstrated examples, we achieve 90% parallel efficiency and scalability both in shared memory and distributed memory parallel systems.
Date issued
2011-06Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer ScienceJournal
Proceedings of the 48th ACM/EDAC/IEEE Design Automation Conference (DAC), 2011
Publisher
Association for Computing Machinery
Citation
Hsiao, Yu-Chung, Luca Daniel. "A highly scalable parallel boundary element method for capacitance extraction." 48th ACM/EDAC/IEEE Design Automation Conference (DAC 2011), June 5-10, 2011, San Diego, California, USA. p. 552-557.
Version: Author's final manuscript
Other identifiers
INSPEC Accession Number: 12180214
ISBN
978-1-4503-0636-2
ISSN
0738-100x