Suppr超能文献

使用并行多级快速多极子算法求解涉及电介质物体的大规模电磁学问题。

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

作者信息

Ergül Özgür

机构信息

Department of Mathematics and Statistics, University of Strathclyde, Glasgow, UK.

出版信息

J Opt Soc Am A Opt Image Sci Vis. 2011 Nov 1;28(11):2261-8. doi: 10.1364/JOSAA.28.002261.

Abstract

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 multilevel 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.

摘要

本文考虑了涉及均匀介质物体的大规模电磁问题的快速精确解。这些问题通过电场和磁场的组合场积分方程来表述,并用Rao-Wilton-Glisson函数进行离散化。通过使用多级快速多极子算法(MLFMA)进行迭代求解。对于用数百万个未知数离散化的大规模问题,MLFMA采用一种严格的技术,即分层划分策略,在分布式内存架构上进行并行化。在涉及多达1亿个未知数的非常大的问题上,展示了所开发实现的效率和准确性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验