Instrumentation and Analysis of MPI Queue Times on the SeaStar High-Performance Network

R. Brightwell, K. Pedretti, Kurt B. Ferreira
{"title":"Instrumentation and Analysis of MPI Queue Times on the SeaStar High-Performance Network","authors":"R. Brightwell, K. Pedretti, Kurt B. Ferreira","doi":"10.1109/icccn.2008.ecp.116","DOIUrl":null,"url":null,"abstract":"Understanding the communication behavior and network resource usage of parallel applications is critical to achieving high performance and scalability on systems with tens of thousands of network endpoints. The need for better understanding is not only driven by the desire to identify potential performance optimization opportunities for current networks, but is also a necessity for designing next-generation networking hardware. In this paper, we describe our approach to instrumenting the SeaStar interconnect on the Cray XT series of massively parallel processing machines to gather low-level network timing data. This data provides a new perspective on performance evaluation, both in terms of evaluating the resource usage patterns of applications as well as evaluating different implementation strategies in the network protocol stack.","PeriodicalId":314071,"journal":{"name":"2008 Proceedings of 17th International Conference on Computer Communications and Networks","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Proceedings of 17th International Conference on Computer Communications and Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icccn.2008.ecp.116","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13

Abstract

Understanding the communication behavior and network resource usage of parallel applications is critical to achieving high performance and scalability on systems with tens of thousands of network endpoints. The need for better understanding is not only driven by the desire to identify potential performance optimization opportunities for current networks, but is also a necessity for designing next-generation networking hardware. In this paper, we describe our approach to instrumenting the SeaStar interconnect on the Cray XT series of massively parallel processing machines to gather low-level network timing data. This data provides a new perspective on performance evaluation, both in terms of evaluating the resource usage patterns of applications as well as evaluating different implementation strategies in the network protocol stack.
海星高性能网络中MPI队列时间的检测与分析
了解并行应用程序的通信行为和网络资源使用情况对于在具有数万个网络端点的系统上实现高性能和可伸缩性至关重要。对更好理解的需求不仅是为了识别当前网络的潜在性能优化机会,而且也是设计下一代网络硬件的必要条件。在本文中,我们描述了我们在Cray XT系列大规模并行处理机上测量SeaStar互连以收集低级网络时序数据的方法。这些数据为性能评估提供了新的视角,包括评估应用程序的资源使用模式,以及评估网络协议栈中的不同实现策略。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信