在x86低功耗架构上使用InfiniBand进行高吞吐量数据采集,用于LHCb升级

D. Cesini, A. Ferraro, A. Falabella, F. Giacomini, M. Manzali, U. Marconi, N. Neufeld, S. Valat, B. Voneki
{"title":"在x86低功耗架构上使用InfiniBand进行高吞吐量数据采集,用于LHCb升级","authors":"D. Cesini, A. Ferraro, A. Falabella, F. Giacomini, M. Manzali, U. Marconi, N. Neufeld, S. Valat, B. Voneki","doi":"10.1109/RTC.2016.7543136","DOIUrl":null,"url":null,"abstract":"The LHCb Collaboration is preparing a major upgrade of the detector and the Data Acquisition (DAQ) to be installed during the LHC-LS2. The new Event Builder computing farm for the DAQ requires about 500 nodes, and have to be capable of transporting order of 32 Tbps. The requested performance can possibly be achieved using high-bandwidth data-centre switches and commodity hardware. Several studies are ongoing to evaluate and compare network and hardware technologies, with the aim of optimising the performance and also the purchase and maintenance costs of the system. We are investigating if x86 low-power architectures can achieve equivalent performance as traditional servers when used for multi gigabit DAQ. In this talk we introduce an Event Builder implementation based on InfiniBand network and show preliminary tests with this network technology on x86 low-power architectures, such as Intel Atom C2750 and Intel Xeon D-1540, comparing measured bandwidth and power consumption.","PeriodicalId":383702,"journal":{"name":"2016 IEEE-NPSS Real Time Conference (RT)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"High throughput data acquisition with InfiniBand on x86 low-power architectures for the LHCb upgrade\",\"authors\":\"D. Cesini, A. Ferraro, A. Falabella, F. Giacomini, M. Manzali, U. Marconi, N. Neufeld, S. Valat, B. Voneki\",\"doi\":\"10.1109/RTC.2016.7543136\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The LHCb Collaboration is preparing a major upgrade of the detector and the Data Acquisition (DAQ) to be installed during the LHC-LS2. The new Event Builder computing farm for the DAQ requires about 500 nodes, and have to be capable of transporting order of 32 Tbps. The requested performance can possibly be achieved using high-bandwidth data-centre switches and commodity hardware. Several studies are ongoing to evaluate and compare network and hardware technologies, with the aim of optimising the performance and also the purchase and maintenance costs of the system. We are investigating if x86 low-power architectures can achieve equivalent performance as traditional servers when used for multi gigabit DAQ. In this talk we introduce an Event Builder implementation based on InfiniBand network and show preliminary tests with this network technology on x86 low-power architectures, such as Intel Atom C2750 and Intel Xeon D-1540, comparing measured bandwidth and power consumption.\",\"PeriodicalId\":383702,\"journal\":{\"name\":\"2016 IEEE-NPSS Real Time Conference (RT)\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE-NPSS Real Time Conference (RT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RTC.2016.7543136\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE-NPSS Real Time Conference (RT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTC.2016.7543136","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

LHC-LS2项目正在准备对探测器和数据采集(DAQ)进行重大升级。用于DAQ的新的Event Builder计算场需要大约500个节点,并且必须能够传输32tbps的数量级。所要求的性能可以使用高带宽数据中心交换机和商用硬件来实现。目前正在进行几项研究,以评估和比较网络和硬件技术,目的是优化性能以及系统的购买和维护成本。我们正在研究x86低功耗架构在用于多千兆数据采集时能否达到与传统服务器相当的性能。在这次演讲中,我们介绍了一个基于InfiniBand网络的Event Builder实现,并展示了该网络技术在x86低功耗架构(如Intel Atom C2750和Intel Xeon D-1540)上的初步测试,比较了测量的带宽和功耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
High throughput data acquisition with InfiniBand on x86 low-power architectures for the LHCb upgrade
The LHCb Collaboration is preparing a major upgrade of the detector and the Data Acquisition (DAQ) to be installed during the LHC-LS2. The new Event Builder computing farm for the DAQ requires about 500 nodes, and have to be capable of transporting order of 32 Tbps. The requested performance can possibly be achieved using high-bandwidth data-centre switches and commodity hardware. Several studies are ongoing to evaluate and compare network and hardware technologies, with the aim of optimising the performance and also the purchase and maintenance costs of the system. We are investigating if x86 low-power architectures can achieve equivalent performance as traditional servers when used for multi gigabit DAQ. In this talk we introduce an Event Builder implementation based on InfiniBand network and show preliminary tests with this network technology on x86 low-power architectures, such as Intel Atom C2750 and Intel Xeon D-1540, comparing measured bandwidth and power consumption.
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
期刊最新文献
Trigger system for a large area RPC TOF-tracker Performance of the new DAQ system of the CMS experiment for run-2 Phase stabilization over a 3 km optical link with sub-picosecond precision for the AWAKE experiment Real-time resonant magnetic perturbations feedback control system for tearing mode suppression on J-TEXT Benchmarking message queue libraries and network technologies to transport large data volume in the ALICE O system
×
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