细线天线和散射体时域分析的多处理

E. M. Garzón, S. Tabik, I. García, A. Bretones
{"title":"细线天线和散射体时域分析的多处理","authors":"E. M. Garzón, S. Tabik, I. García, A. Bretones","doi":"10.1109/EMPDP.2004.1271431","DOIUrl":null,"url":null,"abstract":"We deal with the computational aspects of a numerical method for solving the electric field integral equation (EFIE) for the analysis of the interaction of electromagnetic signals with thin-wires structures. Our interest is mainly to device an efficient parallel implementation of this numerical method which helps physicist to solve the electric field integral equation for very complex and large thin-wires structures The development of this parallel implementation has been carried out on distributed memory multiprocessors, with the use of the parallel programming library MPI and routines of PETSc (portable, extensible toolkit for scientific computation). These routines can solve sparse linear systems in parallel. Appropriate data partitions have been designed in order to optimize the performance of the parallel implementation. A parameter named relative efficiency has been defined to compare two parallel executions with different number of processors. This parameter allows us to better describe the superlinear performance behavior of our parallel implementation. Evaluation of the parallel implementation is given in terms of the values of the speed-up and the relative efficiency. Moreover, a discussion about the requirements of memory versus the number of processors is included. It will be shown that memory hierarchy management improves substantially as the number of processors increases and that this is the reason why superlinear speed-up is obtained.","PeriodicalId":105726,"journal":{"name":"12th Euromicro Conference on Parallel, Distributed and Network-Based Processing, 2004. Proceedings.","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2004-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Multiprocessing of the time domain analysis of thin-wire antennas and scatterers\",\"authors\":\"E. M. Garzón, S. Tabik, I. García, A. Bretones\",\"doi\":\"10.1109/EMPDP.2004.1271431\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We deal with the computational aspects of a numerical method for solving the electric field integral equation (EFIE) for the analysis of the interaction of electromagnetic signals with thin-wires structures. Our interest is mainly to device an efficient parallel implementation of this numerical method which helps physicist to solve the electric field integral equation for very complex and large thin-wires structures The development of this parallel implementation has been carried out on distributed memory multiprocessors, with the use of the parallel programming library MPI and routines of PETSc (portable, extensible toolkit for scientific computation). These routines can solve sparse linear systems in parallel. Appropriate data partitions have been designed in order to optimize the performance of the parallel implementation. A parameter named relative efficiency has been defined to compare two parallel executions with different number of processors. This parameter allows us to better describe the superlinear performance behavior of our parallel implementation. Evaluation of the parallel implementation is given in terms of the values of the speed-up and the relative efficiency. Moreover, a discussion about the requirements of memory versus the number of processors is included. It will be shown that memory hierarchy management improves substantially as the number of processors increases and that this is the reason why superlinear speed-up is obtained.\",\"PeriodicalId\":105726,\"journal\":{\"name\":\"12th Euromicro Conference on Parallel, Distributed and Network-Based Processing, 2004. Proceedings.\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-03-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"12th Euromicro Conference on Parallel, Distributed and Network-Based Processing, 2004. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EMPDP.2004.1271431\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"12th Euromicro Conference on Parallel, Distributed and Network-Based Processing, 2004. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EMPDP.2004.1271431","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

我们处理求解电场积分方程(EFIE)的数值方法的计算方面,以分析电磁信号与细导线结构的相互作用。我们的兴趣主要是为这种数值方法设计一种有效的并行实现,以帮助物理学家求解非常复杂和大型细线结构的电场积分方程。这种并行实现的开发已经在分布式存储多处理器上进行,使用并行编程库MPI和PETSc(可移植的,可扩展的科学计算工具包)例程。这些例程可以并行求解稀疏线性系统。为了优化并行实现的性能,已经设计了适当的数据分区。定义了一个名为相对效率的参数,用于比较使用不同数量处理器的两次并行执行。这个参数允许我们更好地描述并行实现的超线性性能行为。从加速值和相对效率两方面对并行实现进行了评价。此外,还讨论了内存需求与处理器数量的关系。随着处理器数量的增加,内存层次管理得到了显著改善,这就是获得超线性加速的原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Multiprocessing of the time domain analysis of thin-wire antennas and scatterers
We deal with the computational aspects of a numerical method for solving the electric field integral equation (EFIE) for the analysis of the interaction of electromagnetic signals with thin-wires structures. Our interest is mainly to device an efficient parallel implementation of this numerical method which helps physicist to solve the electric field integral equation for very complex and large thin-wires structures The development of this parallel implementation has been carried out on distributed memory multiprocessors, with the use of the parallel programming library MPI and routines of PETSc (portable, extensible toolkit for scientific computation). These routines can solve sparse linear systems in parallel. Appropriate data partitions have been designed in order to optimize the performance of the parallel implementation. A parameter named relative efficiency has been defined to compare two parallel executions with different number of processors. This parameter allows us to better describe the superlinear performance behavior of our parallel implementation. Evaluation of the parallel implementation is given in terms of the values of the speed-up and the relative efficiency. Moreover, a discussion about the requirements of memory versus the number of processors is included. It will be shown that memory hierarchy management improves substantially as the number of processors increases and that this is the reason why superlinear speed-up is obtained.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Fast dependence analysis in a multimedia vectorizing compiler Empirical characterization of the latency of long asynchronous pipelines with data-dependent module delays Parallelization and comparison of 3D iterative reconstruction algorithms Efficient monitoring to detect wireless channel failures for MPI programs Exporting processing power of home embedded devices to global computing applications
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1