MPI非阻塞集体I/O的实现与评价

Sangmin Seo, R. Latham, Junchao Zhang, P. Balaji
{"title":"MPI非阻塞集体I/O的实现与评价","authors":"Sangmin Seo, R. Latham, Junchao Zhang, P. Balaji","doi":"10.1109/CCGrid.2015.81","DOIUrl":null,"url":null,"abstract":"The well-known gap between relative CPU speeds and storage bandwidth results in the need for new strategies for managing I/O demands. In large-scale MPI applications, collective I/O has long been an effective way to achieve higher I/O rates, but it poses two constraints. First, although overlapping collective I/O and computation represents the next logical step toward a faster time to solution, MPI's existing collective I/O API provides only limited support for doing so. Second, collective routines (both for I/O and communication) impose a synchronization cost in addition to a communication cost. The upcoming MPI 3.1 standard will provide a new set of nonblocking collective I/O operations to satisfy the need of applications. We present here initial work on the implementation of MPI nonblocking collective I/O operations in the MPICH MPI library. Our implementation begins with the extended two-phase algorithm used in ROMIO's collective I/O implementation. We then utilize a state machine and the extended generalized request interface to maintain the progress of nonblocking collective I/O operations. The evaluation results indicate that our implementation performs as well as blocking collective I/O in terms of I/O bandwidth and is capable of overlapping I/O and other operations. We believe that our implementation can help users try nonblocking collective I/O operations in their applications.","PeriodicalId":6664,"journal":{"name":"2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing","volume":"33 1","pages":"1084-1091"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Implementation and Evaluation of MPI Nonblocking Collective I/O\",\"authors\":\"Sangmin Seo, R. Latham, Junchao Zhang, P. Balaji\",\"doi\":\"10.1109/CCGrid.2015.81\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The well-known gap between relative CPU speeds and storage bandwidth results in the need for new strategies for managing I/O demands. In large-scale MPI applications, collective I/O has long been an effective way to achieve higher I/O rates, but it poses two constraints. First, although overlapping collective I/O and computation represents the next logical step toward a faster time to solution, MPI's existing collective I/O API provides only limited support for doing so. Second, collective routines (both for I/O and communication) impose a synchronization cost in addition to a communication cost. The upcoming MPI 3.1 standard will provide a new set of nonblocking collective I/O operations to satisfy the need of applications. We present here initial work on the implementation of MPI nonblocking collective I/O operations in the MPICH MPI library. Our implementation begins with the extended two-phase algorithm used in ROMIO's collective I/O implementation. We then utilize a state machine and the extended generalized request interface to maintain the progress of nonblocking collective I/O operations. The evaluation results indicate that our implementation performs as well as blocking collective I/O in terms of I/O bandwidth and is capable of overlapping I/O and other operations. We believe that our implementation can help users try nonblocking collective I/O operations in their applications.\",\"PeriodicalId\":6664,\"journal\":{\"name\":\"2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing\",\"volume\":\"33 1\",\"pages\":\"1084-1091\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCGrid.2015.81\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCGrid.2015.81","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

众所周知,相对CPU速度和存储带宽之间的差距导致需要新的策略来管理I/O需求。在大规模MPI应用中,集体I/O一直是实现更高I/O速率的有效方法,但它存在两个限制。首先,尽管重叠的集合I/O和计算是加快解决方案的下一个合乎逻辑的步骤,但MPI现有的集合I/O API只提供了有限的支持。其次,集体例程(用于I/O和通信)除了通信成本外,还增加了同步成本。即将发布的MPI 3.1标准将提供一组新的非阻塞集体I/O操作,以满足应用程序的需求。我们在这里介绍在MPICH MPI库中实现MPI非阻塞集体I/O操作的初步工作。我们的实现从ROMIO集合I/O实现中使用的扩展的两阶段算法开始。然后,我们利用状态机和扩展的通用请求接口来维护非阻塞集体I/O操作的进度。评估结果表明,我们的实现在阻塞I/O带宽方面表现良好,并且能够重叠I/O和其他操作。我们相信我们的实现可以帮助用户在他们的应用程序中尝试非阻塞的集体I/O操作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation and Evaluation of MPI Nonblocking Collective I/O
The well-known gap between relative CPU speeds and storage bandwidth results in the need for new strategies for managing I/O demands. In large-scale MPI applications, collective I/O has long been an effective way to achieve higher I/O rates, but it poses two constraints. First, although overlapping collective I/O and computation represents the next logical step toward a faster time to solution, MPI's existing collective I/O API provides only limited support for doing so. Second, collective routines (both for I/O and communication) impose a synchronization cost in addition to a communication cost. The upcoming MPI 3.1 standard will provide a new set of nonblocking collective I/O operations to satisfy the need of applications. We present here initial work on the implementation of MPI nonblocking collective I/O operations in the MPICH MPI library. Our implementation begins with the extended two-phase algorithm used in ROMIO's collective I/O implementation. We then utilize a state machine and the extended generalized request interface to maintain the progress of nonblocking collective I/O operations. The evaluation results indicate that our implementation performs as well as blocking collective I/O in terms of I/O bandwidth and is capable of overlapping I/O and other operations. We believe that our implementation can help users try nonblocking collective I/O operations in their applications.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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:604180095
Book学术官方微信