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Processes Parallel Execution Using Grid Wizard Enterprise

  • Marco Ruiz
Protocol
Part of the Methods in Molecular Biology™ book series (MIMB, volume 569)

Summary

The field of high-performance computing (HPC) has provided a wide array of strategies for supplying additional computing power to the goal of reducing the total “clock time” required to complete various computational processes. These strategies range from the development of higher-performance hardware to the assembly of large networks of commodity computers, with each strategy designed to address a particular aspect and/or manifestation of a given computational problem. GWE (Grid Wizard Enterprise) in that regard, is an HPC distributed enterprise system, aimed at providing a solution to the particular problem of running inter-independent computational processes faster by parallelizing their execution across a virtual grid of computational resources with a minimum of user intervention.

Key words

Cluster computing Grid computing gwe High performance computing Parallel computing Resource manager Job scheduler Globus Java Open source 

References

  1. 1.
    J. Epema, M. Livny, R. Dantzig, X. Evers, and J. Pruyne. A worldwide flock of condors. Journal on Future Generations of Compute Systems, 12:53–65, 1996.CrossRefGoogle Scholar
  2. 2.
    I. Foster and C. Kesselman. Globus: A Toolkit-Based Grid Architecture, pp. 259–78. Morgan Kaufmann: San Francisco, CA, 1999.Google Scholar
  3. 3.
    W. Gentzsch. Sun grid engine: Towards creating a compute power grid. Cluster Computing and the Grid, 00:35, 2001.Google Scholar
  4. 4.
    S. Pieper, B. Lorensen, W. Schroeder, and R. Kikinis. The NA-MIC Kit: ITK, VTK, pipelines, grids and 3D slicer as an open platform for the medical image computing community. Proceedings of the 3rd IEEE International Symposium on Biomedical Imaging, 1:698–701, 2006.CrossRefGoogle Scholar
  5. 5.

Copyright information

© Humana Press, a part of Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Marco Ruiz
    • 1
  1. 1.Biomedical Informatics Research NetworkSan DiegoUSA

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