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Analysis and Performance of a Distributed Memory Multilevel Fast Multipole Algorithm

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2 Author(s)
S. Velamparambil ; Ansoft Corp., Boulder, CO, USA ; Weng Cho Chew

In this paper, we analyze the communication pattern and study the scalability of a distributed memory implementation of the multilevel fast multipole algorithm (MLFMA) called \tt ScaleME . \tt ScaleME uses the message passing interface (MPI) for communication between processors. The parallelization of MLFMA uses a novel a hybrid scheme for distributing the workload across the processors. We study the communication and computational behavior and demonstrate the effectiveness of the parallelization scheme using realistic problems.

Published in:

IEEE Transactions on Antennas and Propagation  (Volume:53 ,  Issue: 8 )