Implementation and Performance of Portals 3.3 on the Cray XT3

R. Brightwell, Trammell Hudson, K. Pedretti, R. Riesen, K. Underwood
{"title":"Implementation and Performance of Portals 3.3 on the Cray XT3","authors":"R. Brightwell, Trammell Hudson, K. Pedretti, R. Riesen, K. Underwood","doi":"10.1109/CLUSTR.2005.347061","DOIUrl":null,"url":null,"abstract":"The Portals data movement interface was developed at Sandia National Laboratories in collaboration with the University of New Mexico over the last ten years. Portals is intended to provide the functionality necessary to scale a distributed memory parallel computing system to thousands of nodes. Previous versions of Portals ran on several large-scale machines, including a 1024-node nCUBE-2, a 1800-node Intel Paragon, and the 4500-node Intel ASCI Red machine. The latest version of Portals was initially developed for an 1800-node Linux/Myrinet cluster and has since been adopted by Cray as the lowest-level network programming interface for their XT3 platform. In this paper, we describe the implementation of Portals 3.3 on the Cray XT3 and present some initial performance results from several micro-benchmark tests. Despite some limitations, the implementation of Portals is able to achieve a zero-length one-way latency of under six microseconds and a uni-directional bandwidth of more than 1.1 GB/s","PeriodicalId":255312,"journal":{"name":"2005 IEEE International Conference on Cluster Computing","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"35","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 IEEE International Conference on Cluster Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CLUSTR.2005.347061","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 Portals data movement interface was developed at Sandia National Laboratories in collaboration with the University of New Mexico over the last ten years. Portals is intended to provide the functionality necessary to scale a distributed memory parallel computing system to thousands of nodes. Previous versions of Portals ran on several large-scale machines, including a 1024-node nCUBE-2, a 1800-node Intel Paragon, and the 4500-node Intel ASCI Red machine. The latest version of Portals was initially developed for an 1800-node Linux/Myrinet cluster and has since been adopted by Cray as the lowest-level network programming interface for their XT3 platform. In this paper, we describe the implementation of Portals 3.3 on the Cray XT3 and present some initial performance results from several micro-benchmark tests. Despite some limitations, the implementation of Portals is able to achieve a zero-length one-way latency of under six microseconds and a uni-directional bandwidth of more than 1.1 GB/s
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
门户3.3在Cray XT3上的实现和性能
在过去的十年中,portal数据移动接口是由桑迪亚国家实验室与新墨西哥大学合作开发的。门户旨在提供将分布式内存并行计算系统扩展到数千个节点所需的功能。以前版本的portal可以在几台大型机器上运行,包括1024节点的nCUBE-2、1800节点的Intel Paragon和4500节点的Intel ASCI Red机器。最新版本的Portals最初是为1800个节点的Linux/Myrinet集群开发的,后来被Cray采用为其XT3平台的最低级别网络编程接口。在本文中,我们描述了portal 3.3在Cray XT3上的实现,并给出了几个微基准测试的一些初步性能结果。尽管存在一些限制,但portal的实现能够实现低于6微秒的零长度单向延迟和超过1.1 GB/s的单向带宽
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
Performance Effects of Interrupt Throttle Rate on Linux Clusters using Intel Gigabit Network Adapters A pipelined data-parallel algorithm for ILP Distributed Out-of-Core Preprocessing of Very Large Microscopy Images for Efficient Querying Grid and Cluster Matrix Computation with Persistent Storage and Out-of-core Programming A Cost/Benefit Estimating Service for Mapping Parallel Applications on Heterogeneous Clusters
×
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