G-NetMon: A GPU-accelerated Network Performance Monitoring System

Wenji Wu, P. DeMar, D. Holmgren, Amitoj Singh
{"title":"G-NetMon: A GPU-accelerated Network Performance Monitoring System","authors":"Wenji Wu, P. DeMar, D. Holmgren, Amitoj Singh","doi":"10.1109/SAAHPC.2011.10","DOIUrl":null,"url":null,"abstract":"At Fermilab, we have prototyped a GPU-accelerated network performance monitoring system, called G-NetMon, to support large-scale scientific collaborations. In this work, we explore new opportunities in network traffic monitoring and analysis with GPUs. Our system exploits the data parallelism that exists within network flow data to provide fast analysis of bulk data movement between Fermilab and collaboration sites. Experiments demonstrate that our G-NetMon can rapidly detect sub-optimal bulk data movements.","PeriodicalId":331604,"journal":{"name":"2011 Symposium on Application Accelerators in High-Performance Computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Symposium on Application Accelerators in High-Performance Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAAHPC.2011.10","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

At Fermilab, we have prototyped a GPU-accelerated network performance monitoring system, called G-NetMon, to support large-scale scientific collaborations. In this work, we explore new opportunities in network traffic monitoring and analysis with GPUs. Our system exploits the data parallelism that exists within network flow data to provide fast analysis of bulk data movement between Fermilab and collaboration sites. Experiments demonstrate that our G-NetMon can rapidly detect sub-optimal bulk data movements.
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
G-NetMon:一个gpu加速的网络性能监控系统
在费米实验室,我们制作了一个gpu加速网络性能监测系统的原型,称为G-NetMon,以支持大规模的科学合作。在这项工作中,我们探索了使用gpu进行网络流量监控和分析的新机会。我们的系统利用存在于网络流数据中的数据并行性来提供Fermilab和协作站点之间的批量数据移动的快速分析。实验表明,我们的G-NetMon可以快速检测到次优的批量数据移动。
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
Experience Applying Fortran GPU Compilers to Numerical Weather Prediction Implications of Memory-Efficiency on Sparse Matrix-Vector Multiplication Application of Graphics Processing Units (GPUs) to the Study of Non-linear Dynamics of the Exciton Bose-Einstein Condensate in a Semiconductor Quantum Well A Class of Hybrid LAPACK Algorithms for Multicore and GPU Architectures Evaluation of GPU Architectures Using Spiking Neural Networks
×
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