Architecture-aware Algorithms and Software for Peta and Exascale Computing

J. Dongarra
{"title":"Architecture-aware Algorithms and Software for Peta and Exascale Computing","authors":"J. Dongarra","doi":"10.1109/IPDPS.2011.419","DOIUrl":null,"url":null,"abstract":"Summary form only given. In this talk we examine how high performance computing has changed over the last 10-years and look toward the future in terms of trends. These changes have had and will continue to have a major impact on our software. Some of the software and algorithm challenges have already been encountered, such as management of communication and memory hierarchies through a combination of compile-time and run-time techniques, but the increased scale of computation, depth of memory hierarchies, range of latencies, and increased run-time environment variability will make these problems much harder. We will look at five areas of research that will have an importance impact in the development of software and algorithms. We will focus on following themes: (1) Redesign of software to fit multicore and hybrid architectures (2) Automatically tuned application software (3) Exploiting mixed precision for performance (4) The importance of fault tolerance (5) Communication avoiding algorithms.","PeriodicalId":355100,"journal":{"name":"2011 IEEE International Parallel & Distributed Processing Symposium","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Parallel & Distributed Processing Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPDPS.2011.419","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Summary form only given. In this talk we examine how high performance computing has changed over the last 10-years and look toward the future in terms of trends. These changes have had and will continue to have a major impact on our software. Some of the software and algorithm challenges have already been encountered, such as management of communication and memory hierarchies through a combination of compile-time and run-time techniques, but the increased scale of computation, depth of memory hierarchies, range of latencies, and increased run-time environment variability will make these problems much harder. We will look at five areas of research that will have an importance impact in the development of software and algorithms. We will focus on following themes: (1) Redesign of software to fit multicore and hybrid architectures (2) Automatically tuned application software (3) Exploiting mixed precision for performance (4) The importance of fault tolerance (5) Communication avoiding algorithms.
Peta和Exascale计算的架构感知算法和软件
只提供摘要形式。在这次演讲中,我们将研究高性能计算在过去10年中发生了怎样的变化,并从趋势的角度展望未来。这些变化已经并将继续对我们的软件产生重大影响。已经遇到了一些软件和算法挑战,例如通过编译时和运行时技术的组合来管理通信和内存层次结构,但是计算规模的增加、内存层次结构的深度、延迟的范围和运行时环境可变性的增加将使这些问题变得更加困难。我们将着眼于对软件和算法的发展有重要影响的五个研究领域。我们将重点讨论以下主题:(1)重新设计软件以适应多核和混合架构(2)自动调优应用软件(3)利用混合精度来提高性能(4)容错的重要性(5)避免通信算法。
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 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