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

paul R. WoodwardDavid H. Du；欧内斯特·f·雷策尔；Jon B. Weissman；Ted J. wetherbee明尼苏达大学双城分校协作数据分析和可视化该项目创建了一个高速网络，使大量pc和macintosh能够在空闲时间解决计算密集型问题，增强了明尼苏达大学计算科学与工程实验室（LCSE）、计算基因组学和生物信息学中心（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。该设施将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。该项目将为现有的学生实验室增加网络、存储和图形渲染能力，通过千兆以太网将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的合作团队，除了例外，将把新的数字技术中心（DTC）搬到校园中心的公共位置。这个公共位置为利用工作站作为CCGB和LCSE的基因组学和科学可视化应用的强大数据分析和可视化引擎创造了一个特殊的机会。在学生利用率较低的时期使用工作站，预计将在数据存储容量和带宽、数据挖掘处理能力和图像渲染能力方面提供5到10倍的增长。与计算机科学家在分布式计算技术和网络存储技术上的合作，在实现这些效益方面起着至关重要的作用。该项目由来自丰都拉克部落学院的两名学生参与，为集群网络设计、基于商品的高性价比存储区域网络设计和运营、分布式计算和分布式可视化等方面的研究提供了平台。一个完全连接的千兆以太网网络将由合作团队建立。这种网络交换结构将连接ADCS实验室的机器和CCGB和LCSE的机器和网络附加存储。与UMN OC-12 Internet-2连接的千兆以太网链路将使大量数据能够被带入组合环境（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.