重新评估多核时代的网络负载与卸载

Matthew G. F. Dosanjh, Ryan E. Grant, P. Bridges, R. Brightwell
{"title":"重新评估多核时代的网络负载与卸载","authors":"Matthew G. F. Dosanjh, Ryan E. Grant, P. Bridges, R. Brightwell","doi":"10.1109/CLUSTER.2015.55","DOIUrl":null,"url":null,"abstract":"This paper explores the trade-offs between on-loaded versus offloaded network stack processing for systems with varying CPU frequencies. This study explores the differences of onload and offload using experiments run at different DVFS settings to change the frequency, while measuring performance and power. This allows for a quantitative comparison of the the performance and power and trade-offs between onload and offload cards, with a wide range of CPU performances. The results show that there is often a significant performance increase in using offloaded cards especially at lower CPU frequencies, with only a small increase in power usage. This study also uses MPI profiling to analyze why some applications see a larger benefit than others. This paper's contributions are an analytical, quantitative analysis of the trade-offs between onload and offload. While there has been debate to this question, this is the first, to the authors' knowledge, analytical evaluation of the performance difference. The range of frequencies analyzed give insight on how this MPI might perform on different architectures, such as the low frequency, many-core CPUs. Finally, the power measurements allow for the study to provide further depth in the analysis.","PeriodicalId":187042,"journal":{"name":"2015 IEEE International Conference on Cluster Computing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Re-evaluating Network Onload vs. Offload for the Many-Core Era\",\"authors\":\"Matthew G. F. Dosanjh, Ryan E. Grant, P. Bridges, R. Brightwell\",\"doi\":\"10.1109/CLUSTER.2015.55\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper explores the trade-offs between on-loaded versus offloaded network stack processing for systems with varying CPU frequencies. This study explores the differences of onload and offload using experiments run at different DVFS settings to change the frequency, while measuring performance and power. This allows for a quantitative comparison of the the performance and power and trade-offs between onload and offload cards, with a wide range of CPU performances. The results show that there is often a significant performance increase in using offloaded cards especially at lower CPU frequencies, with only a small increase in power usage. This study also uses MPI profiling to analyze why some applications see a larger benefit than others. This paper's contributions are an analytical, quantitative analysis of the trade-offs between onload and offload. While there has been debate to this question, this is the first, to the authors' knowledge, analytical evaluation of the performance difference. The range of frequencies analyzed give insight on how this MPI might perform on different architectures, such as the low frequency, many-core CPUs. Finally, the power measurements allow for the study to provide further depth in the analysis.\",\"PeriodicalId\":187042,\"journal\":{\"name\":\"2015 IEEE International Conference on Cluster Computing\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Cluster Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CLUSTER.2015.55\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Cluster Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CLUSTER.2015.55","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16

摘要

本文探讨了具有不同CPU频率的系统的负载与卸载网络堆栈处理之间的权衡。本研究通过在不同DVFS设置下运行的实验来改变频率,同时测量性能和功率,探讨了负载和卸载的差异。这允许对性能和功率进行定量比较,并在负载和卸载卡之间进行权衡,具有广泛的CPU性能。结果表明,在使用卸载卡时,特别是在较低的CPU频率下,通常会有显着的性能提高,而功耗仅略有增加。本研究还使用MPI分析来分析为什么一些应用程序比其他应用程序获得更大的收益。本文的贡献是对负载和卸载之间的权衡进行分析和定量分析。虽然这个问题一直存在争议,但据作者所知,这是第一次对性能差异进行分析评估。通过分析频率范围,可以了解MPI在不同架构(如低频多核cpu)上的性能。最后,功率测量允许研究提供更深入的分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Re-evaluating Network Onload vs. Offload for the Many-Core Era
This paper explores the trade-offs between on-loaded versus offloaded network stack processing for systems with varying CPU frequencies. This study explores the differences of onload and offload using experiments run at different DVFS settings to change the frequency, while measuring performance and power. This allows for a quantitative comparison of the the performance and power and trade-offs between onload and offload cards, with a wide range of CPU performances. The results show that there is often a significant performance increase in using offloaded cards especially at lower CPU frequencies, with only a small increase in power usage. This study also uses MPI profiling to analyze why some applications see a larger benefit than others. This paper's contributions are an analytical, quantitative analysis of the trade-offs between onload and offload. While there has been debate to this question, this is the first, to the authors' knowledge, analytical evaluation of the performance difference. The range of frequencies analyzed give insight on how this MPI might perform on different architectures, such as the low frequency, many-core CPUs. Finally, the power measurements allow for the study to provide further depth in the analysis.
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
×
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