I/O Performance of the SX-Aurora TSUBASA

M. Yokokawa, Ayano Nakai, K. Komatsu, Yuta Watanabe, Yasuhisa Masaoka, Yoko Isobe, Hiroaki Kobayashi
{"title":"I/O Performance of the SX-Aurora TSUBASA","authors":"M. Yokokawa, Ayano Nakai, K. Komatsu, Yuta Watanabe, Yasuhisa Masaoka, Yoko Isobe, Hiroaki Kobayashi","doi":"10.1109/IPDPSW50202.2020.00014","DOIUrl":null,"url":null,"abstract":"File outputs or checkpoints for intermediate results frequently appear at appropriate time intervals in large-scale time-advancement numerical simulations where they are utilized for simulation post-processing and/or for restarting consecutive simulations. However, file input/output (I/O) for large-scale data often takes excessive time due to bandwidth limitations between processors and/or secondary storage systems like hard disk drives (HDDs) and solid state drives (SSDs). Accordingly, efforts are ongoing to reduce the time required for file I/O operations in order to speed up such simulations, which means it is necessary to acquire advanced I/O performance knowledge related to high-performance computing systems used.In this study, I/O performance with respect to the connection bandwidth between the vector host (VH) server and the vector engines (VEs) for three configurations of the SX-Aurora TSUB-ASA supercomputer system, specifically the A300–2, A300–4, and A300–8 configurations, were measured and evaluated. The accelerated I/O function, which is a distinctive feature of the SX-Aurora TSUBASA I/O system, was demonstrated to have excellent performance compared to its normal I/O function.","PeriodicalId":398819,"journal":{"name":"2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPDPSW50202.2020.00014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

Abstract

File outputs or checkpoints for intermediate results frequently appear at appropriate time intervals in large-scale time-advancement numerical simulations where they are utilized for simulation post-processing and/or for restarting consecutive simulations. However, file input/output (I/O) for large-scale data often takes excessive time due to bandwidth limitations between processors and/or secondary storage systems like hard disk drives (HDDs) and solid state drives (SSDs). Accordingly, efforts are ongoing to reduce the time required for file I/O operations in order to speed up such simulations, which means it is necessary to acquire advanced I/O performance knowledge related to high-performance computing systems used.In this study, I/O performance with respect to the connection bandwidth between the vector host (VH) server and the vector engines (VEs) for three configurations of the SX-Aurora TSUB-ASA supercomputer system, specifically the A300–2, A300–4, and A300–8 configurations, were measured and evaluated. The accelerated I/O function, which is a distinctive feature of the SX-Aurora TSUBASA I/O system, was demonstrated to have excellent performance compared to its normal I/O function.
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
SX-Aurora TSUBASA的I/O性能
在大规模时间推进数值模拟中,中间结果的文件输出或检查点经常在适当的时间间隔出现,用于模拟后处理和/或重新启动连续模拟。然而,由于处理器和/或二级存储系统(如硬盘驱动器(hdd)和固态驱动器(ssd))之间的带宽限制,大规模数据的文件输入/输出(I/O)通常需要花费过多的时间。因此,正在努力减少文件I/O操作所需的时间,以加快这种模拟,这意味着有必要获得与所使用的高性能计算系统相关的高级I/O性能知识。在本研究中,测量和评估了SX-Aurora t子- asa超级计算机系统的三种配置,特别是A300-2、A300-4和A300-8配置的矢量主机(VH)服务器和矢量引擎(ve)之间的连接带宽的I/O性能。加速I/O功能是SX-Aurora TSUBASA I/O系统的一个显著特征,与普通I/O功能相比,它具有出色的性能。
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
PDCunplugged: A Free Repository of Unplugged Parallel Distributed Computing Activities Competitive Evolution of a UAV Swarm for Improving Intruder Detection Rates Workshop 7: HPBDC High-Performance Big Data and Cloud Computing Teaching Cloud Computing: Motivations, Challenges and Tools Exploring Chapel Productivity Using Some Graph Algorithms
×
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