PACS-CS: a large-scale bandwidth-aware PC cluster for scientific computation

T. Boku, M. Sato, A. Ukawa, D. Takahashi, S. Sumimoto, K. Kumon, Takashi Moriyama, M. Shimizu
{"title":"PACS-CS: a large-scale bandwidth-aware PC cluster for scientific computation","authors":"T. Boku, M. Sato, A. Ukawa, D. Takahashi, S. Sumimoto, K. Kumon, Takashi Moriyama, M. Shimizu","doi":"10.1109/CCGRID.2006.78","DOIUrl":null,"url":null,"abstract":"We have been developing a large scale PC cluster named PACS-CS (Parallel Array Computer System for Computational Sciences) at Center for Computational Sciences, University of Tsukuba, for wide variety of computational science applications such as computational physics, computational material science, computational biology, etc. We consider the most important issue on the computation node is the memory access bandwidth, then a node is equipped with a single CPU which is different from ordinary high-end PC clusters. The interconnection network for parallel processing is configured as a multi-dimensional hyper-crossbar network based on trunking of Gigabit Ethernet to support large scale scientific computation with physical space modeling. Based on the above concept, we are developing an original mother board to configure a single CPU node with 8 ports of Gigabit Ethernet, which can be implemented in the half size of 19 inch rack-mountable 1U size platform. Under the preliminary performance evaluation, we confirmed that the computation part in practical Lattice QCD code will be able to achieve 30% of peak performance, and up to 600 Mbyte/sec of bandwidth at single directed neighboring communication will be achieved. PACS-CS will start its operation on July 2006 with 2560 CPUs and 14.3 Tflops of peak performance.","PeriodicalId":419226,"journal":{"name":"Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCGRID.2006.78","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

Abstract

We have been developing a large scale PC cluster named PACS-CS (Parallel Array Computer System for Computational Sciences) at Center for Computational Sciences, University of Tsukuba, for wide variety of computational science applications such as computational physics, computational material science, computational biology, etc. We consider the most important issue on the computation node is the memory access bandwidth, then a node is equipped with a single CPU which is different from ordinary high-end PC clusters. The interconnection network for parallel processing is configured as a multi-dimensional hyper-crossbar network based on trunking of Gigabit Ethernet to support large scale scientific computation with physical space modeling. Based on the above concept, we are developing an original mother board to configure a single CPU node with 8 ports of Gigabit Ethernet, which can be implemented in the half size of 19 inch rack-mountable 1U size platform. Under the preliminary performance evaluation, we confirmed that the computation part in practical Lattice QCD code will be able to achieve 30% of peak performance, and up to 600 Mbyte/sec of bandwidth at single directed neighboring communication will be achieved. PACS-CS will start its operation on July 2006 with 2560 CPUs and 14.3 Tflops of peak performance.
PACS-CS:用于科学计算的大规模带宽感知PC集群
我们一直在筑波大学计算科学中心开发一个名为PACS-CS(计算科学并行阵列计算机系统)的大型PC集群,用于各种计算科学应用,如计算物理,计算材料科学,计算生物学等。我们考虑到计算节点上最重要的问题是内存访问带宽,然后在一个节点上配置一个不同于普通高端PC集群的单CPU。将并行处理互连网络配置为基于千兆以太网集群的多维超横杆网络,支持物理空间建模的大规模科学计算。基于上述理念,我们正在开发一款原创母板,用于配置单个CPU节点8端口千兆以太网,可在19英寸机架式1U尺寸平台的一半尺寸上实现。在初步的性能评估下,我们确定实际Lattice QCD码的计算部分可以达到峰值性能的30%,并且在单向相邻通信中可以达到600 Mbyte/sec的带宽。PACS-CS将于2006年7月投入使用,其cpu数量为2560个,最高性能为14.3 Tflops。
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