CISE Research Resources: Programming Environments and Applications for Clusters and Grids

CISE 研究资源：集群和网格的编程环境和应用程序

• 批准号: 0224453
• 负责人: Sarita Adve
• 金额: $ 12万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-01 至 2004-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0224453&HistoricalAwards=false
• 关键词: CISE; Research; Resources; Programming; Environments

EIA- 0224453Adve, Sarita V.Hwu, Wen-mei;Kale, Laxmicant V.; Padua, David A.; Patel, Sanjay J.University of Illinois - Urbana/Champaign CISE RR: Programming Environments and Applications for Clusters and Grids This proposal, building a cluster platform connected by gigabit Ethernet, enables the "grid" to be used in the following four research projects:Advanced Programming Environments for Cluster and Grids,Parallel Applications for Clusters and Grids,Dynamic Sequential Code Optimization, andArchitectures for Multimedia and Communications Applications.The configuration permits experimentation on diverse subsystems with varying degrees of heterogeneity, up to three levels of parallelism, and a range of system sizes. The facility will be used in three ways: as an experimental test-bed for systems research on clusters and grids; as a prototype for the development of parallel and distributed applications for clusters and grids; and as a cost-effective production compute server for research in architecture, compilers, and machine learning. The shared facility addresses problems critical to computational infrastructure spanning architecture, compiler, and runtime research on systems ranging from single nodes to grids, covering various application domains.

EIA- 0224453Adve、Sarita V.Hwu、Wen-mei；Kale、Laxmicant V.；帕多瓦，大卫·A.； Patel, Sanjay J. 伊利诺伊大学厄巴纳/香槟分校 CISE RR：集群和网格的编程环境和应用 该提案构建了一个通过千兆位以太网连接的集群平台，使“网格”能够用于以下四个研究项目：集群和网格的高级编程环境、集群和网格的并行应用程序、动态顺序代码优化以及多媒体和通信应用程序的体系结构。该配置允许在不同的环境上进行实验具有不同程度异构性、最多三级并行性以及一系列系统规模的子系统。该设施将用于三种用途：作为集群和网格系统研究的实验测试台；作为开发集群和网格并行和分布式应用程序的原型；并作为一种经济高效的生产计算服务器，用于架构、编译器和机器学习的研究。该共享设施解决了计算基础设施的关键问题，涵盖了从单节点到网格的体系结构、编译器和运行时研究，涵盖了各种应用领域。