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

EIA-0224424 Paul R.WoodwardDavid H.Du；Ernest F.Retzel；Jon B.Weissman；Ted J.Wetherbee明尼苏达大学双胞胎大学CISE RR：协作数据分析和可视化该项目创建了一个高速网络，将能够在空闲时间耦合大量PC和Macintoshes来解决计算密集型问题，该项目加强了明尼苏达大学计算科学与工程实验室(LCSE)、计算基因组和生物信息学中心(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部落和社区学院之间的合作。该设施将被用作执行与可视化和数据挖掘相关的离线批处理作业的平台。为了增强现有学生实验室的网络、存储和图形渲染能力，该项目将通过千兆以太网络将UMN的大约100个工作站连接在一起，为跨学科小组或研究人员提供服务。UMN的协作团队将无一例外地将新的数字技术中心(DTC)搬到校园中心的一个公共位置。这一共同的位置创造了一个特殊的机会，可以利用这些工作站作为CCGB和LCSE的基因组学和科学可视化应用程序的强大数据分析和可视化引擎。在学生利用率低的时期使用工作站，预计将使数据存储容量和带宽、数据挖掘处理能力和图像渲染能力增加五到十倍。与计算机科学家在分布式计算技术和网络存储技术方面的合作，在实现这些好处方面发挥着至关重要的作用。该项目涉及Fond Du Lac部落学院的两名学生，为研究集群网络设计、经济高效的基于商品的存储区域网络设计和运营、分布式计算和分布式可视化提供了平台。合作团队将构建一个全连接的千兆以太网络。该网络交换结构将互连ADCS实验室的机器以及CCGB和LCSE的机器和网络连接存储。连接到UMN OC-12 Internet-2的千兆位以太网链路将使大量数据能够进入组合环境(例如，NSF TeraGrid)。该项目利用资源和专业知识来创建数据分析和可视化的综合能力，远远超过合作之前任何一个参与实验室的现有能力。

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.