CISE Research Instrumentation: Research Infrastructure for Distributed and Data-Intensive Computing

CISE 研究仪器：分布式和数据密集型计算的研究基础设施

• 批准号: 9911099
• 负责人: Kanad Ghose
• 金额: $ 14.79万
• 依托单位: SUNY at Binghamton
• 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: 2000-03-15 至 2003-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9911099&HistoricalAwards=false
• 关键词: CISE; Research; Instrumentation; Infrastructure; Distributed

EIA-9911099Kanad GhoseSUNY @ BinghamtonCISE Research Instrumentation: Research Infrastructure for Distributed and Data-Intensive ComputingThe Department of Computer Science at Binghamton University will purchase components for a 32-node-dual-Pentium cluster and a closely coupled set of high-end workstations and servers, which will be dedicated to support research in computer and information science and engineering. The equipment will be used for several research projects, including in particular: (i) large-scale data visualization; (ii) distributed digital library; (iii) parallel discrete event simulation and (iv) object-based distributed computing infrastructure. All four projects require a distributed high-performance platform (as provided by the cluster). Moreover, the visualization and metasearch engine projects require large disk space and memory sizes to handle the immense data sets required by these applications (as provided by the high-end workstations and cluster node4s). The simulation and visualization projects need the high-bandwidth low-latency communication provided by the Myrinet SAN network. The choice of the cluster for the distributed platform is clear; the cost-effectiveness provided by tapping into the commodity component market makes them a superior value to custom parallel machines (shared Memory, NUMAs or MPPs). There is no equivalent (or comparable) infrastructure available in the department; this equipment will be critical to the success of all four projects.

EIA-9911099 Kanad GhoseSUNY @ Binghamton CISE研究仪器：分布式和数据密集型计算的研究基础设施宾厄姆顿大学计算机科学系将购买32节点双奔腾集群和一组紧密耦合的高端工作站和服务器的组件，这些组件将致力于支持计算机和信息科学与工程的研究。 该设备将用于多个研究项目，特别包括：（i）大规模数据可视化;（ii）分布式数字图书馆;（iii）并行离散事件模拟和（iv）基于对象的分布式计算基础设施。 所有四个项目都需要一个分布式高性能平台（由集群提供）。 此外，可视化和元数据引擎项目需要大量的磁盘空间和内存来处理这些应用程序所需的大量数据集（如高端工作站和集群节点4所提供的）。 仿真和可视化项目需要Myrinet SAN网络提供的高带宽低延迟通信。 分布式平台的集群选择是明确的;通过进入商品组件市场提供的成本效益使它们成为定制并行机（共享内存、NUMA或MPP）的上级价值。 该部没有同等（或可比）的基础设施;这些设备对所有四个项目的成功至关重要。