Helmholtz Finite Elements Performance On Mark III and Intel iPSC/860 Hypercubes

J. Parker, T. Cwik, R. Ferraro, P. Liewer, P. Lyster, J. Patterson
{"title":"Helmholtz Finite Elements Performance On Mark III and Intel iPSC/860 Hypercubes","authors":"J. Parker, T. Cwik, R. Ferraro, P. Liewer, P. Lyster, J. Patterson","doi":"10.1109/DMCC.1991.633158","DOIUrl":null,"url":null,"abstract":"The large distributed memory capacities of hypercube computers are exploited by a finite element application which computes the scattered electromagetic field from heterogeneous objects with size large compared to a wavelength. Such problems scale well with hypercube dimension fo r large objects: by using the Recursive Inertial Partitioning algorithm and an iterative solver, the work done by each processor is nearly equal and communication overhead for the system set-up and solution is low. The application has been integrated into a user-friendly eirvironment on a graphics workstation in a local area network including hypercube host machines. Users need never know their solutions are obtained via a parallel computer. Scaling is shown by computing solutions for a series of models which double the number of variables for each increment of hypercube dimension. Timings are compared for the JPLICaltech Mark IIIfp Hypercube and the Intel iPSCI860 hypercube. Acceptable quality of solutions is obtained for object domains of hundreds of square wavelengths and resulting sparse matrix systems with order of 100,000 complex unknowns.","PeriodicalId":313314,"journal":{"name":"The Sixth Distributed Memory Computing Conference, 1991. Proceedings","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Sixth Distributed Memory Computing Conference, 1991. Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DMCC.1991.633158","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

The large distributed memory capacities of hypercube computers are exploited by a finite element application which computes the scattered electromagetic field from heterogeneous objects with size large compared to a wavelength. Such problems scale well with hypercube dimension fo r large objects: by using the Recursive Inertial Partitioning algorithm and an iterative solver, the work done by each processor is nearly equal and communication overhead for the system set-up and solution is low. The application has been integrated into a user-friendly eirvironment on a graphics workstation in a local area network including hypercube host machines. Users need never know their solutions are obtained via a parallel computer. Scaling is shown by computing solutions for a series of models which double the number of variables for each increment of hypercube dimension. Timings are compared for the JPLICaltech Mark IIIfp Hypercube and the Intel iPSCI860 hypercube. Acceptable quality of solutions is obtained for object domains of hundreds of square wavelengths and resulting sparse matrix systems with order of 100,000 complex unknowns.
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
Helmholtz有限元在Mark III和Intel iPSC/860 Hypercubes上的性能
利用超立方体计算机庞大的分布式存储容量,实现了对尺寸大于波长的异质物体散射电磁场的有限元计算。这类问题在超立方体维度下可以很好地扩展到大型对象:通过使用递归惯性划分算法和迭代求解器,每个处理器所做的工作几乎相等,并且系统设置和解决方案的通信开销很低。该应用程序已集成到包括hypercube主机在内的局域网图形工作站的用户友好环境中。用户永远不需要知道他们的解是通过并行计算机得到的。通过计算一系列模型的解决方案来显示缩放,这些模型每增加一个超立方体维度,变量的数量就增加一倍。比较了JPLICaltech Mark IIIfp Hypercube和Intel iPSCI860 Hypercube的时序。对于数百平方波长的目标域和100,000阶复杂未知数的稀疏矩阵系统,获得了可接受的解质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Scalable Performance Environments for Parallel Systems Using Spanning-Trees for Balancing Dynamic Load on Multiprocessors Optimal Total Exchange on an SIMD Distributed-Memory Hypercube Structured Parallel Programming on Multicomputers Parallel Solutions to the Phase Problem in X-Ray Crystallography: An Update
×
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