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Building the TeraGrid.

Peter H Beckman1

  • 1Argonne National Laboratory, University of Chicago, Argonne, IL 60439, USA. beckman@mcs.anl.gov

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|August 16, 2005
PubMed
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The TeraGrid, a US high-performance computing network, launched in 2004, connecting nine sites for advanced scientific research. This distributed system enabled complex simulations and data analysis, enhancing computational capabilities for scientists nationwide.

Area of Science:

  • High-performance computing
  • Distributed systems
  • Computational science

Background:

  • The TeraGrid project aimed to create a unified, high-performance computing infrastructure in the United States.
  • It connected resources from nine major research institutions via advanced networking and a shared software environment.

Purpose of the Study:

  • To establish a national-scale distributed computing utility for scientists and engineers.
  • To enable the integration of diverse computational resources and data sources.
  • To facilitate advanced scientific research through enhanced access to supercomputing and visualization capabilities.

Main Methods:

  • Integration of nine geographically distributed supercomputing centers.
  • Development of a unified policy, security, and distributed computing software environment.

Related Experiment Videos

  • Establishment of an ultra-fast optical network connecting all participating sites.
  • Main Results:

    • The TeraGrid became fully operational on October 1, 2004, providing a single, shared utility for accessing advanced computational capabilities.
    • Demonstrated the linking of US TeraGrid resources with UK computing resources via the Teragyroid project.
    • Successfully executed large-scale lattice-Boltzmann simulations using the RealityGrid software framework on over one billion lattice sites.

    Conclusions:

    • The TeraGrid successfully created a national high-performance computing utility, significantly advancing distributed scientific research.
    • The project demonstrated the feasibility of international collaboration in high-performance computing.
    • The TeraGrid model provided improved access to and leveraging of advanced computational resources for scientific discovery.