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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.

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