Advanced partitioning and communication strategies for the efficient parallelization of the multilevel fast multipole algorithm
Author
Ergül O.
Gürel, Levent
Date
2010Source Title
2010 IEEE Antennas and Propagation Society International Symposium
Publisher
IEEE
Language
English
Type
Conference PaperItem Usage Stats
133
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42
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Abstract
Large-scale electromagnetics problems can be solved efficiently with the multilevel fast multipole algorithm (MLFMA) [1], which reduces the complexity of matrix-vector multiplications required by iterative solvers from O(N 2) to O(N logN). Parallelization of MLFMA on distributed-memory architectures enables fast and accurate solutions of radiation and scattering problems discretized with millions of unknowns using limited computational resources. Recently, we developed a hierarchical partitioning strategy [2], which provides an efficient parallelization of MLFMA, allowing for the solution of very large problems involving hundreds of millions of unknowns. In this strategy, both clusters (sub-domains) of the multilevel tree structure and their samples are partitioned among processors, which leads to improved load-balancing. We also show that communications between processors are reduced and the communication time is shortened, compared to previous parallelization strategies in the literature. On the other hand, improved partitioning of the tree structure complicates the arrangement of communications between processors. In this paper, we discuss communications in detail when MLFMA is parallelized using the hierarchical partitioning strategy. We present well-organized arrangements of communications in order to maximize the efficiency offered by the improved partitioning. We demonstrate the effectiveness of the resulting parallel implementation on a very large scattering problem involving a conducting sphere discretized with 375 million unknowns. ©2010 IEEE.
Keywords
Communication strategyCommunication time
Computational resources
Conducting spheres
Distributed memory
Electromagnetics
Hierarchical partitioning
Iterative solvers
Load-Balancing
Matrix vector multiplication
Multi-level fast multi-pole algorithm
Multilevel fast multipole algorithms
Parallel implementations
Parallelization strategies
Parallelizations
Scattering problems
Sub-domains
Tree structures
Antennas
Spheres
Trees (mathematics)
Communication