New Grid-Based Computing for the Community

NCAR's research, service, and educational activities involve extensive partnerships with individuals and institutions all over the world. Reliable and easy-to-use cyberinfrastructure (CI) is increasingly important to sustaining these collaborative endeavors. Continued advances in advanced grid-based technologies hold significant promise for accelerating scientific progress by making high-performance computing and analysis tools widely and easily available; permitting remote access to and use of scientific instruments; and greatly easing the flow of, access to, and storage of data and information. NCAR is deeply involved in supporting high-performance CI services and tools, observing systems, and atmospheric and related science and education. We are thus very well positioned for a leadership role in the development of advanced grids for scientific research and education. Our near-term objectives are to

  • Develop next-generation science gateway infrastructure and other grid-based technologies to enhance the development of virtual organizations for research and education in the atmospheric and related sciences
  • Continue as a resource partner in the TeraGrid, at least through April 2011, and participate in the proposed TeraGrid data replication service, if funded, as an archive resource partner through September 2013
  • Help define, implement, and improve the next-generation research grid through participation in the NSF eXtreme Digital (XD) Program
  • Investigate and evaluate methods for remote examination and analysis of very large or heterogeneous data sets
  • Explore future grid environments that will allow NCAR and other sites (e.g., universities) to see and be seen through NSF's XD infrastructure
  • Apply the urgent-computing paradigm to weather forecasting applications in a production grid environment
  • Improve the effectiveness and availability of tools for computation, data analysis, workflow, and visualization and of services for researchers and students
  • Develop and deploy a virtual operations center that increases the connectivity of field experiments to researchers, students, and high-end data analysis and modeling facilities