CRI: Acquisition of an Infiniband Cluster with SMP Nodes

CRI：收购带有 SMP 节点的 Infiniband 集群

• 批准号: 0551555
• 负责人: Xin Yuan
• 金额: $ 10万
• 依托单位: Florida State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-03-01 至 2008-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0551555&HistoricalAwards=false
• 关键词: CRI; Acquisition; Infiniband; Cluster; SMP

AbstractProgram: NSF 04-588 CISE Computing Research InfrastructureProposal: CNS 0551555PI: Yuan, XinInstitution: Florida State UniversityTitle: CRI: Acquisition of an Infiniband Cluster with SMP Nodes Florida State University investigators will acquire an Infiniband cluster computer with dual processor, 64-bit SMP nodes. The cluster, which can be configured to resemble various cluster architectures, will give researchers access to state-of-the-art processor, network, and cluster technologies. By providing contemporary platforms for software development, testing, and performance evaluation, the acquisition can substantially improve the output of the participating research groups, increase the visibility of their research, encourage industry participation in research, and enhance education. The projects that will benefit from the acquisition span a range of areas in distributed systems including operating systems, runtime systems and compilers, and applications. The projects are (1) optimizing MPI programs through compiled communication, (2) delayed finalization of MPI collective communication routines, (3) distributed cluster resource virtualization, (4) performance and scalability of web services, (5) an integrated approach for communication optimization in the cluster of workstations environment, and (6) exploring high performance distributed systems (educational project).

摘要程序：NSF 04-588 CISE Computing Research计算机结构提案：CNS 0551555 PI：Yuan，Xin机构：佛罗里达州立大学标题：CRI：收购带有SMP节点的Infiniband群集佛罗里达州立大学的研究人员将收购带有双处理器、64位SMP节点的Infiniband群集计算机。该集群可以配置为类似于各种集群架构，将为研究人员提供最先进的处理器，网络和集群技术。通过为软件开发、测试和性能评估提供现代平台，此次收购可以大大提高参与研究小组的产出，提高其研究的知名度，鼓励行业参与研究，并加强教育。将从收购中受益的项目跨越了分布式系统的一系列领域，包括操作系统、运行时系统和编译器以及应用程序。这些项目是（1）通过编译通信优化MPI程序，（2）MPI集体通信例程的延迟完成，（3）分布式集群资源虚拟化，（4）Web服务的性能和可扩展性，（5）工作站集群环境中通信优化的集成方法，以及（6）探索高性能分布式系统（教育项目）。