Particle Physics Data Grid Collaboratory Pilot
A SciDAC Program Project
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The Particle Physics Data Grid (PPDG) SciDAC Collaboratory Pilot has
stepped up to the challenge of making production data and computational
grids deliver worth to High Energy and Nuclear Physics experiments end to
end applications in the short to near term. Experiments in PPDG cover the
spectrum from those currently taking data in the US (BaBar, Run2,STAR,
TJNAF), with immediate needs to distribute and analyse up to several
petabytes of data, to HEP experiments at the Large Hadron Collider in Europe
(ATLAS, CMS), where the computational power and data will increase up to
one hundred fold over the next five years and the number of users will
increase by a factor of four. The Computer Science groups on PPDG are
working with the discipline scientists to deliver the emerging technologies
for data, job and storage management on the Grid. PPDG's focus on
production end-to-end global grid physics applications brings unique
challenges and opportunities which are resulting in increasing
collaboration with other grid services and middleware development and
research projects.
The goal of the Particle Physics Data Grid Collaboratory
Pilot is to develop, acquire and deliver vitally needed Grid-enabled
tools for data-intensive requirements of particle and nuclear physics.
The objectives of this project are
- Enable integration of user applications with the Grid via Grid-enabled
middleware
- Strengthen the collaborative foundations of experimental particle
and nuclear physics
- Provide effective distributed data access, processing, and analysis.
This project is a collaboration among Argonne National Laboratory,
Brookhaven National Laboratory, California Institute of Technology,
Fermi National Accelerator Laboratory, Lawrence
Berkeley National Laboratory, San Diego Supercomputer Center, Stanford
Linear Accelerator Center, Thomas Jefferson National Accelerator Facility, University
of California San Diego and the University of Wisconsin at Madison.
For more info, see:
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