A Highly Scalable Parallel Boundary Element Method for Capacitance Extraction
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Daniel_A highly.pdf
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Author(s)
Hsiao, Yu-Chung
Daniel, Luca
Date Issued
June 2011
Journal
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
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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DOI of Published Version
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5981976
