Gateways to Discovery: Cyberinfrastructure for the Long Tail of Science

R. Moore, C. Baru, Diane A. Baxter, Geoffrey Fox, A. Majumdar, P. Papadopoulos, W. Pfeiffer, R. Sinkovits, Shawn M. Strande, M. Tatineni, R. Wagner, Nancy Wilkins-Diehr, M. Norman
{"title":"Gateways to Discovery: Cyberinfrastructure for the Long Tail of Science","authors":"R. Moore, C. Baru, Diane A. Baxter, Geoffrey Fox, A. Majumdar, P. Papadopoulos, W. Pfeiffer, R. Sinkovits, Shawn M. Strande, M. Tatineni, R. Wagner, Nancy Wilkins-Diehr, M. Norman","doi":"10.1145/2616498.2616540","DOIUrl":null,"url":null,"abstract":"NSF-funded computing centers have primarily focused on delivering high-performance computing resources to academic researchers with the most computationally demanding applications. But now that computational science is so pervasive, there is a need for infrastructure that can serve more researchers and disciplines than just those at the peak of the HPC pyramid. Here we describe SDSC's Comet system, which is scheduled for production in January 2015 and was designed to address the needs of a much larger and more expansive science community-- the \"long tail of science\". Comet will have a peak performance of 2 petaflop/s, mostly delivered using Intel's next generation Xeon processor. It will include some large-memory and GPU-accelerated nodes, node-local flash memory, 7 PB of Performance Storage, and 6 PB of Durable Storage. These features, together with the availability of high performance virtualization, will enable users to run complex, heterogeneous workloads on a single integrated resource.","PeriodicalId":93364,"journal":{"name":"Proceedings of XSEDE16 : Diversity, Big Data, and Science at Scale : July 17-21, 2016, Intercontinental Miami Hotel, Miami, Florida, USA. Conference on Extreme Science and Engineering Discovery Environment (5th : 2016 : Miami, Fla.)","volume":"1 1","pages":"39:1-39:8"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"44","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of XSEDE16 : Diversity, Big Data, and Science at Scale : July 17-21, 2016, Intercontinental Miami Hotel, Miami, Florida, USA. Conference on Extreme Science and Engineering Discovery Environment (5th : 2016 : Miami, Fla.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2616498.2616540","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 44

Abstract

NSF-funded computing centers have primarily focused on delivering high-performance computing resources to academic researchers with the most computationally demanding applications. But now that computational science is so pervasive, there is a need for infrastructure that can serve more researchers and disciplines than just those at the peak of the HPC pyramid. Here we describe SDSC's Comet system, which is scheduled for production in January 2015 and was designed to address the needs of a much larger and more expansive science community-- the "long tail of science". Comet will have a peak performance of 2 petaflop/s, mostly delivered using Intel's next generation Xeon processor. It will include some large-memory and GPU-accelerated nodes, node-local flash memory, 7 PB of Performance Storage, and 6 PB of Durable Storage. These features, together with the availability of high performance virtualization, will enable users to run complex, heterogeneous workloads on a single integrated resource.
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
探索之门:科学长尾的网络基础设施
nsf资助的计算中心主要致力于为学术研究人员提供高性能的计算资源,以满足最苛刻的计算要求。但是现在,计算科学是如此普及,有必要为更多的研究人员和学科提供基础设施,而不仅仅是那些在HPC金字塔顶端的人。在这里,我们描述了SDSC的彗星系统,该系统计划于2015年1月投入生产,旨在满足更大、更广泛的科学社区的需求——“科学的长尾”。Comet的峰值性能为每秒2千万亿次,主要使用英特尔的下一代至强处理器。它将包括一些大内存和gpu加速的节点、节点本地闪存、7pb的性能存储和6pb的持久存储。这些特性,加上高性能虚拟化的可用性,将使用户能够在单个集成资源上运行复杂的异构工作负载。
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
CloudBridge: a Simple Cross-Cloud Python Library. pbsacct: A Workload Analysis System for PBS-Based HPC Systems ECSS Experience: Particle Tracing Reinvented Fast, Low-Memory Algorithm for Construction of Nanosecond Level Snapshots of Financial Markets Benchmarking SSD-Based Lustre File System Configurations
×
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