### Abstract

Language | English |
---|---|

Pages | 2261-2268 |

Number of pages | 8 |

Journal | Journal of the Optical Society of America A |

Volume | 28 |

Issue number | 11 |

DOIs | |

State | Published - Nov 2011 |

### Fingerprint

### Keywords

- strategy
- scattering
- MLFMA
- unknowns
- millions
- field integral-equation
- solutions
- large-scale
- electromagnetics problems
- dielectric objects
- parallel
- multilevel fast multipole algorithm

### Cite this

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*Journal of the Optical Society of America A*, vol. 28, no. 11, pp. 2261-2268. DOI: 10.1364/JOSAA.28.002261

Research output: Contribution to journal › Article

TY - JOUR

T1 - Solutions of large-scale electromagnetics problems involving dielectric objects with the parallel multilevel fast multipole algorithm

AU - Ergul,O.

PY - 2011/11

Y1 - 2011/11

N2 - Fast and accurate solutions of large-scale electromagnetics problems involving homogeneous dielectric objects are considered. Problems are formulated with the electric and magnetic current combined-field integral equation and discretized with the Rao-Wilton-Glisson functions. Solutions are performed iteratively by using the multi-level fast multipole algorithm (MLFMA). For the solution of large-scale problems discretized with millions of unknowns, MLFMA is parallelized on distributed-memory architectures using a rigorous technique, namely, the hierarchical partitioning strategy. Efficiency and accuracy of the developed implementation are demonstrated on very large problems involving as many as 100 million unknowns.

AB - Fast and accurate solutions of large-scale electromagnetics problems involving homogeneous dielectric objects are considered. Problems are formulated with the electric and magnetic current combined-field integral equation and discretized with the Rao-Wilton-Glisson functions. Solutions are performed iteratively by using the multi-level fast multipole algorithm (MLFMA). For the solution of large-scale problems discretized with millions of unknowns, MLFMA is parallelized on distributed-memory architectures using a rigorous technique, namely, the hierarchical partitioning strategy. Efficiency and accuracy of the developed implementation are demonstrated on very large problems involving as many as 100 million unknowns.

KW - strategy

KW - scattering

KW - MLFMA

KW - unknowns

KW - millions

KW - field integral-equation

KW - solutions

KW - large-scale

KW - electromagnetics problems

KW - dielectric objects

KW - parallel

KW - multilevel fast multipole algorithm

UR - http://www.scopus.com/inward/record.url?scp=80155138653&partnerID=8YFLogxK

U2 - 10.1364/JOSAA.28.002261

DO - 10.1364/JOSAA.28.002261

M3 - Article

VL - 28

SP - 2261

EP - 2268

JO - Journal of the Optical Society of America A

T2 - Journal of the Optical Society of America A

JF - Journal of the Optical Society of America A

SN - 1084-7529

IS - 11

ER -