2011
DOI: 10.2528/pier11092501
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Parallel Implementation of Mlfma for Homogeneous Objects With Various Material Properties

Abstract: Abstract-We present a parallel implementation of the multilevel fast multipole algorithm (MLFMA) for fast and accurate solutions of electromagnetics problems involving homogeneous objects with diverse material properties. Problems are formulated rigorously with the electric and magnetic current combined-field integral equation (JMCFIE) and solved iteratively using MLFMA parallelized with the hierarchical partitioning strategy. Accuracy and efficiency of the resulting implementation are demonstrated on canonica… Show more

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Cited by 24 publications
(16 citation statements)
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References 36 publications
(48 reference statements)
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“…It is worth to note that the highresolution standard FDTD of the whole area (entitled FDTD), which is used as the reference, modeled the completely computational domain. To overcome the memory limit of a serial processor, the parallel implementation is used [27][28][29][30]. The convolution PML is used to truncate the computational domain in this work [31][32][33].…”
Section: Numerical Resultsmentioning
confidence: 99%
“…It is worth to note that the highresolution standard FDTD of the whole area (entitled FDTD), which is used as the reference, modeled the completely computational domain. To overcome the memory limit of a serial processor, the parallel implementation is used [27][28][29][30]. The convolution PML is used to truncate the computational domain in this work [31][32][33].…”
Section: Numerical Resultsmentioning
confidence: 99%
“…Previous parallel algorithms (e.g., parallel FDTD [10,11], parallel direct solver [12] and parallel MLFMM [13,14]) were mainly implemented on CPU clusters. Due to the high performance/cost ratio and the fast performance growth of GPUs, GPU clusters are becoming more and more popular.…”
Section: Introductionmentioning
confidence: 99%
“…The multilevel fast multipole algorithm is a powerful tool for accelerating the matrix-vector multiplication and it is shown to have ability to solve electrically large and complex problems [5][6][7]. Through employing the multilevel fast multipole algorithm (MLFMA), the capability of FE-BI has been improved greatly [8].…”
Section: Introductionmentioning
confidence: 99%