Scalable Low-Power High-Performance Rack-Scale Optical Network

Jun Feng, Zhehui Wang, Zhifei Wang, Xuanqi Chen, Shixi Chen, Jiaxu Zhang, Jiang Xu
{"title":"Scalable Low-Power High-Performance Rack-Scale Optical Network","authors":"Jun Feng, Zhehui Wang, Zhifei Wang, Xuanqi Chen, Shixi Chen, Jiaxu Zhang, Jiang Xu","doi":"10.1109/PHOTONICS49561.2019.00006","DOIUrl":null,"url":null,"abstract":"As large-scale applications are demanding more computation power while Moore’s Law is slowing down, rackscale computing systems are being developed to meet the increasing computation and energy requirements. Optical interconnects have become an alternative to address the performance and energy efficiency issues of rack-scale systems because of their superiority in bandwidth, latency, and power. In this paper, we systematically analyze the rack-scale optical network (RSON) architecture with different path reservation schemes and optical inter-chip networks and the most commonly used architecture for high-performance computing systems. We explore the RSON architecture, floorplan optimized delta optical network (FODON) switch architecture and the preemptive chain feedback (PCF) scheme to optimize multi-domain path reservation. Experimental results show that the RSON with FODON switch and PCF scheme can improve system performance per energy consumption by up to 5x, and around 4x on average, while still maintaining better scalability than state-of-the-art systems.","PeriodicalId":64491,"journal":{"name":"光学与光子学期刊(英文)","volume":"24 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"光学与光子学期刊(英文)","FirstCategoryId":"1089","ListUrlMain":"https://doi.org/10.1109/PHOTONICS49561.2019.00006","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

As large-scale applications are demanding more computation power while Moore’s Law is slowing down, rackscale computing systems are being developed to meet the increasing computation and energy requirements. Optical interconnects have become an alternative to address the performance and energy efficiency issues of rack-scale systems because of their superiority in bandwidth, latency, and power. In this paper, we systematically analyze the rack-scale optical network (RSON) architecture with different path reservation schemes and optical inter-chip networks and the most commonly used architecture for high-performance computing systems. We explore the RSON architecture, floorplan optimized delta optical network (FODON) switch architecture and the preemptive chain feedback (PCF) scheme to optimize multi-domain path reservation. Experimental results show that the RSON with FODON switch and PCF scheme can improve system performance per energy consumption by up to 5x, and around 4x on average, while still maintaining better scalability than state-of-the-art systems.
可扩展的低功耗高性能机架级光网络
随着大规模应用对计算能力的要求越来越高,而摩尔定律正在放缓,机架级计算系统正在发展,以满足日益增长的计算和能源需求。由于光互连在带宽、延迟和功耗方面的优势,它已成为解决机架级系统性能和能源效率问题的另一种选择。本文系统地分析了具有不同路径预留方案的机架级光网络(RSON)架构和光片间网络,以及高性能计算系统中最常用的架构。我们探索了RSON架构、平面优化增量光网络(FODON)交换架构和抢占链反馈(PCF)方案来优化多域路径保留。实验结果表明,具有FODON开关和PCF方案的RSON可以将系统的每能耗性能提高5倍,平均提高4倍左右,同时仍然保持比现有系统更好的可扩展性。
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
431
×
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:481959085
Book学术官方微信