Other Grid Projects in the Public Sector
The following are some other public sector R&D projects that are building and/or employing grid technologies.
- ApGrid -- a partnership for Grid computing in the Asia Pacific region, ApGrid focuses on sharing resources, developing Grid technologies, and of using those technologies to create new apps.
- ASCI Computational Grid -- defense project to interconnect compuational resources for nuclear simulations.
- BIRN -- the biomedical informatics research network, which enables neuroscientists and medical scientists to collaborate on brain imaging.
- EcoGrid -- developing economic or "market-based" resource management and scheduling system for global grid computing.
- EUROGRID -- sponsored by the European Commission, this project will demonstrate the use of grids in selected scientific and industrial communities, address the specific requirements of these communities, and highlight the benefits of using grids. Research areas include a Bio GRID.
- DataGrid -- funded by the European Union, its focus is to build the next gen computing infrastructure for intensive computation and analysis of shared large-scale databases, across widely distributed scientific communities.
- GriPhyN -- the GRId PHYsics Network is developing Grid technologies for scientific and engineering projects that must collect and analyze distributed, petabyte-scale datasets.
- NASA Information Power Grid -- is a high-performance computation and data grid that integrates geographically distributed computers, databases, and instruments.
- NEESgrid -- will link earthquake researchers across the US with leading-edge computing resources and research equipment, allowing collaborative teams to plan, perform, and publish their experiments.
- Particle Physics Data Grid (PPDG) -- With the current SciDAC project (Particle Physics Data Grid Collaboratory Pilot), PPDG will develop, acquire and deliver vitally needed Grid-enabled tools for data-intensive requirements of particle and nuclear physics.
- UK eScience -- a UK funded project to enable collaborative scientific enterprises that will require access to very large data collections, very large scale computing resources and high performance visualization.