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CISE Research Instrumentation: Cluster Computing for Knowledge Discovery in Diverse Data Sets

CISE Research Instrumentation：用于不同数据集中知识发现的集群计算

基本信息

批准号：
9986042
负责人：
George Karypis
金额：
$ 7.45万
依托单位：
University of Minnesota-Twin Cities
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2000
资助国家：
美国
起止时间：
2000-02-01 至 2003-01-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=9986042&HistoricalAwards=false
关键词：
CISE Research Instrumentation Cluster Computing

项目摘要

EIA-9986042George KarypisUniversity of MinnesotaCISE Research Instrumentation: Cluster Computing for Knowledge Discovery in Diverse Data SetsThe Department of Computer Science & Engineering at the University of Minnesota will purchase the following equipment which will be dedicated to support research in computer and information science and engineering. The requested instrumentation consists of 10 dual processor Dell 410 workstations with a total of 10GB of main memory, a CISCO Catalyst 4000 Gigabit switch, and a Hitachi 5750 E RAID system with a total of 360GB storage. This equipment will be used to form a computer cluster suited for data-and compute-intensive applications.The equipment will be primarily used by four research projects which address research problems in the area of knowledge discovery, including in particular: data mining of genomic and scientific data sets, spatial data mining, next-generation recommender systems, and bid evaluation in multi-agent contracting. For several of these projects, the currently available equipment are either inadequate or obsolete for supporting their core needs. For other projects, the availability of this equipment will make a significant increment to their capabilities. The collective needs of these projects are for a tightly-coupled, high-performance, large-memory cluster of computers with a high-performance high-capacity storage server attached to it.

明尼苏达大学计算机科学与工程系将购买以下设备，专门用于支持计算机和信息科学与工程领域的研究。所请求的工具包括10个双处理器Dell 410工作站，共10 GB主内存、1个Cisco Catalyst 4000千兆交换机和1个Hitachi 5750 E RAID系统，共360 GB存储空间。该设备将用于形成一个适合数据和计算密集型应用的计算机集群。该设备将主要用于四个研究项目，解决知识发现领域的研究问题，特别包括：基因组和科学数据集的数据挖掘、空间数据挖掘、下一代推荐系统和多主体合同中的投标评估。就其中几个项目而言，目前可用的设备不足以或过时，无法满足其核心需求。对于其他项目，这种设备的提供将大大提高它们的能力。这些项目的集体需求是紧耦合、高性能、大内存的计算机集群，并连接高性能、高容量的存储服务器。