Introduction
Grid Computing
refers to a set of technologies that allow the creation of virtual organizations with compute, data or
other resources distributed geographically across the member organizations, and the capability to harness these
resources as needed by scientists in real time for a particular application.
Examples of Grid systems include
- Teragrid - As of September 2004, Teragrid included over 40 teraflops of computing power,
nearly 2 petabytes of rotating storage, specialized data analysis and visualization resources into production, and
a dedicated national network of 10-30 gigabits/second. - Geongrid - GEON consists of fifteen partner sites with data resources geographically distributed across the
institutions. Geon is developing federated data processsing techniques applied to a variety of problems in the
geosciences, for example, distributed map integration using ontology-based query rewrites. - INCA - a grid monitoring and testing framework,
- Gemstone - a rich desktop client for accessing service-based applications,
- GAMA - a grid account management infrastructure,
- myMPI - a pypthon library for MPI.
A sampling of other grid systems is available.
Current software development projects in the Grid Development Group include:
See projects page for more details.