Communication-aware scalability analysis based on critical path

Yufei Lin, Yuhua Tang, Yun Liu, Xinhai Xu
{"title":"Communication-aware scalability analysis based on critical path","authors":"Yufei Lin, Yuhua Tang, Yun Liu, Xinhai Xu","doi":"10.1109/ICEEE.2012.6421194","DOIUrl":null,"url":null,"abstract":"With the scale of parallel computing system growing up, the influence of the communication overhead cannot be ignored. Parallel speedup is the most commonly used metric for evaluating scalability in parallel computing, and we propose communication-aware speedup based on the traditional speedup to quantitatively analyze the system scalability. This paper presents the definition of communication-aware scalability, discusses the communication-aware scalability by using critical path, and then quantitatively classifies the systems according to their communication-aware scalabilities. Through case studies, we analyze the communication-aware scalabilities of some parallel systems. A significant conclusion of this paper is that the system is scalable, if the communication overhead increases at a rate with lower exponent than parallel workload.","PeriodicalId":162368,"journal":{"name":"2012 9th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 9th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEEE.2012.6421194","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

With the scale of parallel computing system growing up, the influence of the communication overhead cannot be ignored. Parallel speedup is the most commonly used metric for evaluating scalability in parallel computing, and we propose communication-aware speedup based on the traditional speedup to quantitatively analyze the system scalability. This paper presents the definition of communication-aware scalability, discusses the communication-aware scalability by using critical path, and then quantitatively classifies the systems according to their communication-aware scalabilities. Through case studies, we analyze the communication-aware scalabilities of some parallel systems. A significant conclusion of this paper is that the system is scalable, if the communication overhead increases at a rate with lower exponent than parallel workload.
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
基于关键路径的通信感知可伸缩性分析
随着并行计算系统规模的不断扩大,通信开销的影响不容忽视。并行加速是评价并行计算可扩展性最常用的指标,本文在传统加速的基础上提出了通信感知加速来定量分析系统的可扩展性。给出了通信感知可扩展性的定义,利用关键路径对通信感知可扩展性进行了讨论,并根据通信感知可扩展性对系统进行了定量分类。通过实例分析,分析了一些并行系统的通信感知可扩展性。本文的一个重要结论是,如果通信开销以低于并行工作负载的指数速率增长,则系统是可扩展的。
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
Moiré patterns in red Nonlinear control for plants with partial information via Takagi-Sugeno models: An application on the twin rotor MIMO system Characterization and fabrication of SiOx nano-metric films, obtained by reactive sputtering Comparison of satellite antenna feeders for fixed applications Communication-aware scalability analysis based on critical path
×
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