CISE Research Resources: Collaborative Research Resources: Collaborative Data Analysis and Visualization

CISE 研究资源：协作研究资源：协作数据分析和可视化

• 批准号: 0224424
• 负责人: Paul Woodward
• 金额: --
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-15 至 2006-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0224424&HistoricalAwards=false
• 关键词: CISE; Research; Resources; Collaborative; Data

EIA-0224424Paul R. WoodwardDavid H. Du; Ernest F. Retzel; Jon B. Weissman; Ted J. WetherbeeUniversity of Minnesota-Twin CitiesCISE RR: Collaborative Data Analysis and VisualizationThis project, creating a high-speed network that will enable coupling a large number of PCs and Macintoshes to tackle computationally-intensive problems during idle times, enhances the collaboration between the University of Minnesota Laboratory for Computational Science and Engineering (LCSE), Center for Computational Genomics and Bioinformatics (CCGB), Academic Distributed Computing Services (ADCS), the computer science research group, and Fon du Lac Tribal and Community College. The facility will be used as a platform to perform off-line batch jobs related to visualization and data mining. Augmenting network, storage, and graphics rendering capacity for a pre-existing student lab, the project will link together approximately 100 workstations at UMN via a Gigabit Ethernet network to service an interdisciplinary group or researchers. UMN collaborating teams, with on exception, will move the new Digital Technology Center (DTC) into a common location at the heart of the campus. This common location creates a special opportunity to exploit the workstations as a powerful data analysis and visualization engine for the genomics and scientific visualization applications of CCGB and the LCSE. The use of workstations during the time of low student utilization is expected to provide five-to ten-fold increases in data storage capacity and bandwidth, data mining processing power, and image rendering power. The collaboration with computer scientists, on distributed computing techniques and networked storage technology, plays a vital role in realizing the benefits. The project, involving two students from Fond du Lac Tribal College, provides platforms for research in cluster network design, cost-effective commodity-based storage area network design and operation, distributed computing, and distributed visualization. A fully connected Gigabit Ethernet network will be built by the collaborating team. This network-switching fabric will interconnect the machines of the ADCS lab and the machine and network attached storage of the CCGB and LCSE. A gigabit Ethernet link to UMN OC-12 Internet-2 connection will enable large amounts of data to be brought into the combined environment (e.g., NSF TeraGrid). The project leverages resources and expertise to create a combined capacity for data analysis and visualization far greater than existed in any one of the participating labs before the collaboration.

EIA-0224424Paul R. Woodwarddavid H. du; Ernest F. Retzel；乔恩·韦斯曼（Jon B. Weissman）；明尼苏达州 - 双重城市RR的Ted J. Wetherbeeuniversity：协作数据分析和可视化此项目，创建一个高速网络，该网络将使能够耦合大量的PC和MacIntoshes，以解决在闲置时期的计算强度问题，从明尼苏达大学计算科学与工程实验室（LCSE），计算基因组学与生物信息学中心（CCGB），学术分布式计算服务（ADCS），计算机科学研究小组以及Fon du Lac部落和社区学院。 该设施将用作执行与可视化和数据挖掘有关的离线批处理作业的平台。 该项目将通过千兆以太网网络链接到UMN的大约100个工作站，以链接到跨学科小组或研究人员的范围内，该项目将增强网络，存储和图形渲染能力。 UMN合作团队（除例外）将把新的数字技术中心（DTC）转移到校园中心的共同位置。 这个共同的位置为CCGB和LCSE的基因组学和科学可视化应用而创造了一个特殊的机会，将工作站利用为强大的数据分析和可视化引擎。 在学生利用率较低时，工作站的使用预计将提供数据存储容量和带宽，数据挖掘处理能力和图像渲染功率的五至十倍。 与计算机科学家，分布式计算技术和网络存储技术的合作在实现收益方面起着至关重要的作用。 该项目涉及来自Fond du Lac Tribal College的两名学生，为集群网络设计，基于成本效益的存储区域网络设计和操作，分布式计算和分布式可视化提供了研究平台。 合作团队将建立一个完全连接的千兆以太网网络。 这种网络开关结构将互连ADCS实验室的机器，以及CCGB和LCSE的机器和网络附加存储。 指向UMN OC-12 Internet-2连接的千兆以太网链接将使大量数据被带入联合环境（例如NSF Teragrid）。 该项目利用资源和专业知识来创建一个合并的数据分析和可视化能力，远远超过协作前任何一个参与实验室中存在的能力。