MRI: Acquisition and Analysis of a Multidisciplinary Beowulf Cluster

MRI：多学科贝奥武夫集群的采集和分析

• 批准号: 0079739
• 负责人: Joel Adams
• 金额: $ 16.35万
• 依托单位: Calvin University
• 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: 2000-09-01 至 2003-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0079739&HistoricalAwards=false
• 关键词: MRI; Acquisition; Analysis; Multidisciplinary; Beowulf

EIA-0079739Adams, Joel C.Calvin CollegeMRI: Acquisition and Analysis of a Multidisciplinary Beowulf ClusterIt is proposed to design, acquire, build, and test a ``Beowulf cluster`` multiprocessor that will provide a high performance computing environment for multidisciplinary scientific research and research training at Calvin College. The objective is to determine what cluster design is best suited for research projects in multiple disciplines. More precisely, it is proposed to spend three years studying the performance of three common cluster topologies on different kinds of research problems. The aim of the study is to identify the cluster topologies that are best suited for particular kinds of problems, as well as identify what topology provides the best overall performance for multidisciplinary research machine.

EIA-0079739 Adams，Joel C.卡尔文学院MRI：多学科Beowulf多处理器的获取和分析建议设计、获取、构建和测试“Beowulf集群"多处理器，该多处理器将为卡尔文学院的多学科科学研究和研究培训提供高性能计算环境。我们的目标是确定什么集群设计是最适合在多个学科的研究项目。 更准确地说，它建议花三年时间研究三种常见的集群拓扑结构对不同类型的研究问题的性能。 该研究的目的是确定最适合特定类型的问题的集群拓扑结构，以及确定什么拓扑结构提供了最佳的多学科研究机器的整体性能。