Architecture and performance of Perlmutter's 35 PB ClusterStor E1000 all-flash file system

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Concurrency and Computation-Practice & Experience Pub Date : 2024-07-23 DOI:10.1002/cpe.8143
Glenn K. Lockwood, Alberto Chiusole, Lisa Gerhardt, Kirill Lozinskiy, David Paul, Nicholas J. Wright
{"title":"Architecture and performance of Perlmutter's 35 PB ClusterStor E1000 all-flash file system","authors":"Glenn K. Lockwood,&nbsp;Alberto Chiusole,&nbsp;Lisa Gerhardt,&nbsp;Kirill Lozinskiy,&nbsp;David Paul,&nbsp;Nicholas J. Wright","doi":"10.1002/cpe.8143","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>NERSC's newest system, Perlmutter, features a 35 PB all-flash Lustre file system built on HPE Cray ClusterStor E1000. We present its architecture, early performance figures, and performance considerations unique to this architecture. We demonstrate the performance of E1000 OSSes through low-level Lustre tests that achieve over 90% of the theoretical bandwidth of the SSDs at the OST and LNet levels. We also show end-to-end performance for both traditional dimensions of I/O performance (peak bulk-synchronous bandwidth) and nonoptimal workloads endemic to production computing (small, incoherent I/Os at random offsets) and compare them to NERSC's previous system, Cori, to illustrate that Perlmutter achieves the performance of a burst buffer and the resilience of a scratch file system. Finally, we discuss performance considerations unique to all-flash Lustre and present ways in which users and HPC facilities can adjust their I/O patterns and operations to make optimal use of such architectures.</p>\n </div>","PeriodicalId":55214,"journal":{"name":"Concurrency and Computation-Practice & Experience","volume":"36 23","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Concurrency and Computation-Practice & Experience","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cpe.8143","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0

Abstract

NERSC's newest system, Perlmutter, features a 35 PB all-flash Lustre file system built on HPE Cray ClusterStor E1000. We present its architecture, early performance figures, and performance considerations unique to this architecture. We demonstrate the performance of E1000 OSSes through low-level Lustre tests that achieve over 90% of the theoretical bandwidth of the SSDs at the OST and LNet levels. We also show end-to-end performance for both traditional dimensions of I/O performance (peak bulk-synchronous bandwidth) and nonoptimal workloads endemic to production computing (small, incoherent I/Os at random offsets) and compare them to NERSC's previous system, Cori, to illustrate that Perlmutter achieves the performance of a burst buffer and the resilience of a scratch file system. Finally, we discuss performance considerations unique to all-flash Lustre and present ways in which users and HPC facilities can adjust their I/O patterns and operations to make optimal use of such architectures.

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
Perlmutter 35 PB ClusterStor E1000 全闪存文件系统的架构和性能
摘要NERSC的最新系统Perlmutter采用了基于HPE Cray ClusterStor E1000的35 PB全闪存Lustre文件系统。我们介绍了该系统的架构、早期性能数据以及该架构特有的性能注意事项。我们通过底层 Lustre 测试展示了 E1000 OSS 的性能,这些测试在 OST 和 LNet 层面实现了超过 90% 的 SSD 理论带宽。我们还展示了传统 I/O 性能(批量同步带宽峰值)和生产计算所特有的非最佳工作负载(随机偏移的小型不连贯 I/O)的端到端性能,并将其与 NERSC 以前的 Cori 系统进行比较,以说明 Perlmutter 实现了突发缓冲区的性能和从头文件系统的弹性。最后,我们讨论了全闪存 Lustre 所特有的性能考虑因素,并介绍了用户和高性能计算设施调整 I/O 模式和操作以最佳利用此类架构的方法。
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
Concurrency and Computation-Practice & Experience
Concurrency and Computation-Practice & Experience 工程技术-计算机:理论方法
CiteScore
5.00
自引率
10.00%
发文量
664
审稿时长
9.6 months
期刊介绍: Concurrency and Computation: Practice and Experience (CCPE) publishes high-quality, original research papers, and authoritative research review papers, in the overlapping fields of: Parallel and distributed computing; High-performance computing; Computational and data science; Artificial intelligence and machine learning; Big data applications, algorithms, and systems; Network science; Ontologies and semantics; Security and privacy; Cloud/edge/fog computing; Green computing; and Quantum computing.
期刊最新文献
Issue Information Improving QoS in cloud resources scheduling using dynamic clustering algorithm and SM-CDC scheduling model Issue Information Issue Information Camellia oleifera trunks detection and identification based on improved YOLOv7
×
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