A. Vidal, A. Vidal, V. Boria, V. García
{"title":"Parallel computation of arbitrarily shaped waveguide modes using BI‐RME and Lanczos methods","authors":"A. Vidal, A. Vidal, V. Boria, V. García","doi":"10.1002/CNM.901","DOIUrl":null,"url":null,"abstract":"This paper is devoted to the parallelization of a new method for solving large, structured eigenvalue problems, which appear in the electromagnetic modal analysis of arbitrarily shaped waveguides, typically present in many modern passive devices. This new method, based on the boundary integral-resonant mode expansion (BI-RME) technique and in the Lanczos method (for solution of the eigenvalue problem), was recently proposed by the authors, showing important advantages in terms of CPU time and memory over previously used solutions. As it will be fully described in this paper, the parallel version of such a new method allows further important savings in the overall CPU computation time. Comparative benchmarks and scalability issues related to the implemented parallel algorithm are discussed. Copyright © 2006 John Wiley & Sons, Ltd.","PeriodicalId":51245,"journal":{"name":"Communications in Numerical Methods in Engineering","volume":"23 1","pages":"273-284"},"PeriodicalIF":0.0000,"publicationDate":"2006-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/CNM.901","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Numerical Methods in Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/CNM.901","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
用BI - RME和Lanczos方法并行计算任意形状波导模式
本文致力于并行化一种新的方法来解决大的,结构化的特征值问题,出现在任意形状波导的电磁模态分析,通常存在于许多现代无源器件。这种基于边界积分-共振模式展开(BI-RME)技术和Lanczos方法(求解特征值问题)的新方法是作者最近提出的,在CPU时间和内存方面比以前使用的解决方案有重要的优势。正如本文将全面描述的那样,这种新方法的并行版本可以进一步节省总体CPU计算时间。讨论了与实现的并行算法相关的比较基准和可伸缩性问题。版权所有©2006约翰威利父子有限公司
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