SPBC: Leveraging the characteristics of MPI HPC applications for scalable checkpointing

Thomas Ropars, Tatiana V. Martsinkevich, Amina Guermouche, A. Schiper, F. Cappello
{"title":"SPBC: Leveraging the characteristics of MPI HPC applications for scalable checkpointing","authors":"Thomas Ropars, Tatiana V. Martsinkevich, Amina Guermouche, A. Schiper, F. Cappello","doi":"10.1145/2503210.2503271","DOIUrl":null,"url":null,"abstract":"The high failure rate expected for future supercomputers requires the design of new fault tolerant solutions. Most checkpointing protocols are designed to work with any message-passing application but sudder from scalability issues at extreme scale. We take a different approach: We identify a property common to many HPC applications, namely channel-determinism, and introduce a new partial order relation, called always-happens-before relation, between events of such applications. Leveraging these two concepts, we design a protocol that combines an unprecedented set of features. Our protocol called SPBC combines in a hierarchical way coordinated checkpointing and message logging. It is the first protocol that provides failure containment without logging any information reliably apart from process checkpoints, and this, without penalizing recovery performance. Experiments run with a representative set of HPC workloads demonstrate a good performance of our protocol during both, failure-free execution and recovery.","PeriodicalId":371074,"journal":{"name":"2013 SC - International Conference for High Performance Computing, Networking, Storage and Analysis (SC)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"35","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 SC - International Conference for High Performance Computing, Networking, Storage and Analysis (SC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2503210.2503271","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 35

Abstract

The high failure rate expected for future supercomputers requires the design of new fault tolerant solutions. Most checkpointing protocols are designed to work with any message-passing application but sudder from scalability issues at extreme scale. We take a different approach: We identify a property common to many HPC applications, namely channel-determinism, and introduce a new partial order relation, called always-happens-before relation, between events of such applications. Leveraging these two concepts, we design a protocol that combines an unprecedented set of features. Our protocol called SPBC combines in a hierarchical way coordinated checkpointing and message logging. It is the first protocol that provides failure containment without logging any information reliably apart from process checkpoints, and this, without penalizing recovery performance. Experiments run with a representative set of HPC workloads demonstrate a good performance of our protocol during both, failure-free execution and recovery.
SPBC:利用MPI HPC应用程序的特性来实现可伸缩的检查点
预计未来超级计算机的高故障率需要设计新的容错解决方案。大多数检查点协议被设计为与任何消息传递应用程序一起工作,但在极端规模下会出现可伸缩性问题。我们采用了一种不同的方法:我们确定了许多HPC应用程序的一个共同属性,即通道确定性,并在这些应用程序的事件之间引入了一个新的偏序关系,称为“总是先于发生”关系。利用这两个概念,我们设计了一个结合了前所未有的功能集的协议。我们称为SPBC的协议以分层方式结合了协调的检查点和消息记录。它是第一个在不可靠地记录除进程检查点以外的任何信息的情况下提供故障遏制的协议,而且不会影响恢复性能。在一组具有代表性的HPC工作负载上运行的实验表明,我们的协议在无故障执行和恢复期间都具有良好的性能。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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