SCOC: High-radix switches made of bufferless clos networks

Nikolaos Chrysos, C. Minkenberg, Mark Rudquist, C. Basso, Brian Vanderpool
{"title":"SCOC: High-radix switches made of bufferless clos networks","authors":"Nikolaos Chrysos, C. Minkenberg, Mark Rudquist, C. Basso, Brian Vanderpool","doi":"10.1109/HPCA.2015.7056050","DOIUrl":null,"url":null,"abstract":"In today's datacenters handling big data and for exascale computers of tomorrow, there is a pressing need for high-radix switches to economically and efficiently unify the computing and storage resources that are dispersed across multiple racks. In this paper, we present SCOC, a switch architecture suitable for economical IC implementation that can efficiently replace crossbars for high-radix switch nodes. SCOC is a multi-stage bufferless network with O(N2/m) cost, where m is a design parameter, practically ranging between 4-16. We identify and resolve more than five fairness violations that are pertinent to hierarchical scheduling. Effectively, from a performance perspective, SCOC is indistinguishable from efficient flat crossbars. Computer simulations show that it competes well or even outperforms flat crossbars and hierarchical switches. We report data from our ASIC implementation at 32 nm of a SCOC 136×136 switch, with shallow buffers, connecting 25 Gb/s links. In this first incarnation, SCOC is used at the spines of a server-rack, fat-tree network. Internally, it runs at 9.9 Tb/s, thus offering a speedup of 1.45 ×, and provides a fall-through latency of just 61 ns.","PeriodicalId":6593,"journal":{"name":"2015 IEEE 21st International Symposium on High Performance Computer Architecture (HPCA)","volume":"67 1","pages":"402-414"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 21st International Symposium on High Performance Computer Architecture (HPCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPCA.2015.7056050","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20

Abstract

In today's datacenters handling big data and for exascale computers of tomorrow, there is a pressing need for high-radix switches to economically and efficiently unify the computing and storage resources that are dispersed across multiple racks. In this paper, we present SCOC, a switch architecture suitable for economical IC implementation that can efficiently replace crossbars for high-radix switch nodes. SCOC is a multi-stage bufferless network with O(N2/m) cost, where m is a design parameter, practically ranging between 4-16. We identify and resolve more than five fairness violations that are pertinent to hierarchical scheduling. Effectively, from a performance perspective, SCOC is indistinguishable from efficient flat crossbars. Computer simulations show that it competes well or even outperforms flat crossbars and hierarchical switches. We report data from our ASIC implementation at 32 nm of a SCOC 136×136 switch, with shallow buffers, connecting 25 Gb/s links. In this first incarnation, SCOC is used at the spines of a server-rack, fat-tree network. Internally, it runs at 9.9 Tb/s, thus offering a speedup of 1.45 ×, and provides a fall-through latency of just 61 ns.
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
SCOC:由无缓冲闭合网络组成的高基数交换机
在当今处理大数据的数据中心和未来的百亿亿次计算机中,迫切需要高基数交换机来经济高效地统一分散在多个机架上的计算和存储资源。在本文中,我们提出了SCOC,一种适合经济集成电路实现的交换架构,可以有效地取代高基数交换节点的交叉棒。SCOC是一个多阶段无缓冲网络,其成本为0 (N2/m),其中m为设计参数,实际取值范围为4-16。我们发现并解决了五个以上与分级调度相关的公平违规行为。实际上,从性能的角度来看,SCOC与高效的平面横梁没有什么区别。计算机模拟表明,它可以很好地竞争,甚至优于平横杆和分层开关。我们报告的数据来自我们在32nm的SCOC 136×136开关的ASIC实现,具有浅缓冲,连接25gb /s链路。在第一个版本中,SCOC用于服务器机架、胖树网络的核心。在内部,它以9.9 Tb/s的速度运行,从而提供1.45倍的加速,并提供仅61 ns的故障延迟。
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
Parameter Identification Inverse Problems of Partial Differential Equations Based on the Improved Gene Expression Programming High-Efficiency Realization of SRT Division on Ternary Optical Computers A Fast Training Method for Transductive Support Vector Machine in Semi-supervised Learning Performance Optimization of a DEM Simulation Framework on GPU Using a Stencil Model A Platform for Routine Development of Ternary Optical Computers
×
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