## Abstract Along with the development of graphics processing Units (GPUS) in floating point operations and programmability, GPU has increasingly become an attractive alternative to the central processing unit (CPU) for some of computeβintensive and parallel tasks.In this article, the multilevel fa
Parallelized multilevel characteristic basis function method for solving electromagnetic scattering problems
β Scribed by Jaime Laviada; Marcos R. Pino; Raj Mittra; Fernando Las-Heras
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 441 KB
- Volume
- 51
- Category
- Article
- ISSN
- 0895-2477
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β¦ Synopsis
Abstract
Parallel implementation of the multilevel characteristic basis function method is discussed in this article. The use of this method enables us to solve very large electromagnetic problems in a direct manner via a recursive application of the characteristic basis function method. Furthermore, we show that, unlike the iterative schemes, the present method is very well suited for parallelization. Examples are presented to show that upto one million unknown problems can be solved on a workstation using the present scheme, and that the results show very good agreement with those derived by using analytical or fast multipole methods. Β© 2009 Wiley Periodicals, Inc. Microwave Opt Technol Lett 51: 2963β2969, 2009; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.24767
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## Abstract In this article, a hybrid method of adaptively modified characteristic basis function method (AMCBFM) and QR factorization with a dual modified GramβSchmidt (DualβMGS) algorithm, which is called QRβAMCBFM, is presented. The first step is to derive the primary basis functions by using AM
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