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Parallel implementation of the steepest descent fast multipole method (SDFMM) on a Beowulf cluster for subsurface sensing applications

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6 Author(s)
Jiang, D. ; Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA ; Meleis, W. ; El-Shenawee, M. ; Mizan, E.
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We present the parallel, MPI-based implementation of the SDFMM computer code using a thirty-two node Intel Pentium-based Beowulf cluster. The SDFMM is a fast algorithm that is a hybridization of the method of moments (MoMs), the fast multipole method (FMM), and the steepest descent integration path (SDP), which is used to solve large-scale linear systems of equations produced in electromagnetic scattering problems. An overall speedup of 7.2 has been achieved on the 32-processor Beowulf cluster and a significant reduced runtime is achieved on the 4-processor 667 MHz Alpha workstation.

Published in:
Microwave and Wireless Components Letters, IEEE  (Volume:12 ,  Issue: 1 )

Date of Publication: Jan. 2002

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