启用下一代可扩展集群

W. Gropp
{"title":"启用下一代可扩展集群","authors":"W. Gropp","doi":"10.1109/CCGRID.2010.135","DOIUrl":null,"url":null,"abstract":"Clusters revolutionized computing by making supercomputer capabilities widely available. But one of the main drivers of that revolution, the rapid doubling of processor clock rates, ran out of steam several years ago. To maintain (or even increase) the historic rate of improvement in computing power, processor designs are rapidly increasing parallelism at all levels, including more functional units, more cores, and ways to share resources among threads. Heterogeneous designs that use more specialized processors such as GPGPUs are becoming common. The scale of high-end systems is also getting larger, with 1000-core systems becoming commonplace and systems with over 300,000 cores planned for 2011. However, the software and algorithms for these systems are still basically the same as when the cluster revolution began. Drawing on experiences with the sustained PetaFLOPS system, called Blue Waters, to be installed at Illinois in 2011, and with exploratory work into Exascale system designs, this talk will discuss some of the challenges facing the cluster community as scalability becomes increasingly important and reviews some of the developments in algorithms, programming models, and software frameworks that must complement the evolution of cluster hardware.","PeriodicalId":444485,"journal":{"name":"2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enabling the Next Generation of Scalable Clusters\",\"authors\":\"W. Gropp\",\"doi\":\"10.1109/CCGRID.2010.135\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Clusters revolutionized computing by making supercomputer capabilities widely available. But one of the main drivers of that revolution, the rapid doubling of processor clock rates, ran out of steam several years ago. To maintain (or even increase) the historic rate of improvement in computing power, processor designs are rapidly increasing parallelism at all levels, including more functional units, more cores, and ways to share resources among threads. Heterogeneous designs that use more specialized processors such as GPGPUs are becoming common. The scale of high-end systems is also getting larger, with 1000-core systems becoming commonplace and systems with over 300,000 cores planned for 2011. However, the software and algorithms for these systems are still basically the same as when the cluster revolution began. Drawing on experiences with the sustained PetaFLOPS system, called Blue Waters, to be installed at Illinois in 2011, and with exploratory work into Exascale system designs, this talk will discuss some of the challenges facing the cluster community as scalability becomes increasingly important and reviews some of the developments in algorithms, programming models, and software frameworks that must complement the evolution of cluster hardware.\",\"PeriodicalId\":444485,\"journal\":{\"name\":\"2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCGRID.2010.135\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCGRID.2010.135","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

集群通过使超级计算机的功能广泛可用,彻底改变了计算。但这场革命的主要推动力之一,处理器时钟速率的快速翻倍,在几年前就已经失去了动力。为了保持(甚至提高)计算能力的历史改进速度,处理器设计正在迅速提高所有级别的并行性,包括更多的功能单元、更多的内核以及在线程之间共享资源的方式。使用更专业的处理器(如gpgpu)的异构设计正变得越来越普遍。高端系统的规模也越来越大,1000核的系统越来越普遍,2011年计划有超过30万核的系统。然而,这些系统的软件和算法与集群革命开始时基本相同。根据2011年将在伊利诺斯州安装的名为Blue Waters的持续PetaFLOPS系统的经验,以及对Exascale系统设计的探索性工作,本演讲将讨论随着可扩展性变得越来越重要,集群社区面临的一些挑战,并回顾算法、编程模型和软件框架的一些发展,这些发展必须补充集群硬件的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enabling the Next Generation of Scalable Clusters
Clusters revolutionized computing by making supercomputer capabilities widely available. But one of the main drivers of that revolution, the rapid doubling of processor clock rates, ran out of steam several years ago. To maintain (or even increase) the historic rate of improvement in computing power, processor designs are rapidly increasing parallelism at all levels, including more functional units, more cores, and ways to share resources among threads. Heterogeneous designs that use more specialized processors such as GPGPUs are becoming common. The scale of high-end systems is also getting larger, with 1000-core systems becoming commonplace and systems with over 300,000 cores planned for 2011. However, the software and algorithms for these systems are still basically the same as when the cluster revolution began. Drawing on experiences with the sustained PetaFLOPS system, called Blue Waters, to be installed at Illinois in 2011, and with exploratory work into Exascale system designs, this talk will discuss some of the challenges facing the cluster community as scalability becomes increasingly important and reviews some of the developments in algorithms, programming models, and software frameworks that must complement the evolution of cluster hardware.
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:481959085
Book学术官方微信