HR: 17:45h
AN: NG34A-08    [Abstracts]
TI: Analysis, Mining and Visualization Service at NCSA
AU: * Wilhelmson, R
EM: bw@ncsa.uiuc.edu
AF: National Center for Supercomputing Applications, 605 E. Springfield Ave., Champaign, IL 61820 United States
AU: Cox, D
EM: cox@ncsa.uiuc.edu
AF: National Center for Supercomputing Applications, 605 E. Springfield Ave., Champaign, IL 61820 United States
AU: Welge, M
EM: welge@ncsa.uiuc.edu
AF: National Center for Supercomputing Applications, 605 E. Springfield Ave., Champaign, IL 61820 United States
AB: NCSA's goal is to create a balanced system that fully supports high-end computing as well as: 1) high-end data management and analysis; 2) visualization of massive, highly complex data collections; 3) large databases; 4) geographically distributed Grid computing; and 5) collaboratories, all based on a secure computational environment and driven with workflow-based services. To this end NCSA has defined a new technology path that includes the integration and provision of cyberservices in support of data analysis, mining, and visualization. NCSA has begun to develop and apply a data mining system-NCSA Data-to-Knowledge (D2K)-in conjunction with both the application and research communities. NCSA D2K will enable the formation of model-based application workflows and visual programming interfaces for rapid data analysis. The Java-based D2K framework, which integrates analytical data mining methods with data management, data transformation, and information visualization tools, will be configurable from the cyberservices (web and grid services, tools, ..) viewpoint to solve a wide range of important data mining problems. This effort will use modules, such as a new classification methods for the detection of high-risk geoscience events, and existing D2K data management, machine learning, and information visualization modules. A D2K cyberservices interface will be developed to seamlessly connect client applications with remote back-end D2K servers, providing computational resources for data mining and integration with local or remote data stores. This work is being coordinated with SDSC's data and services efforts. The new NCSA Visualization embedded workflow environment (NVIEW) will be integrated with D2K functionality to tightly couple informatics and scientific visualization with the data analysis and management services. Visualization services will access and filter disparate data sources, simplifying tasks such as fusing related data from distinct sources into a coherent visual representation. This approach enables collaboration among geographically dispersed researchers via portals and front-end clients, and the coupling with data management services enables recording associations among datasets and building annotation systems into visualization tools and portals, giving scientists a persistent, shareable, virtual lab notebook. To facilitate provision of these cyberservices to the national community, NCSA will be providing a computational environment for large-scale data assimilation, analysis, mining, and visualization. This will be initially implemented on the new 512 processor shared memory SGI's recently purchased by NCSA. In addition to standard batch capabilities, NCSA will provide on-demand capabilities for those projects requiring rapid response (e.g., development of severe weather, earthquake events) for decision makers. It will also be used for non-sequential interactive analysis of data sets where it is important have access to large data volumes over space and time.
UR: http://www.ncsa.uiuc.edu/
DE: 7200 SEISMOLOGY
DE: 4500 OCEANOGRAPHY: PHYSICAL
DE: 3300 METEOROLOGY AND ATMOSPHERIC DYNAMICS
DE: 1800 HYDROLOGY
DE: 1600 GLOBAL CHANGE (New category)
SC: Nonlinear Geophysics [NG]
MN: 2004 AGU Fall Meeting