, Volume 62, Issue 3, pp 17–18 | Cite as

Applying for computational time on NSF’s TeraGrid—the world’s largest cyberinfrastructure supporting open research

  • Katsuyo Thornton
  • Dallas R. Trinkle
  • Richard G. Hennig
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This article describes how to apply for allocations of high-performance computing time, storage, and advanced user support on the National Science Foundation’s TeraGrid.


  1. 1.
    K. Thornton et al., “Computational Materials Science and Engineering Education: A Survey of Trends and Needs” JOM, 61(10) (2009), pp. 12–17.CrossRefGoogle Scholar
  2. 2.
    Committee on Integrated Computational Materials Engineering, National Research Council, Integrated Computational Materials Engineering: A Transformational Discipline for Improved Competitiveness and National Security (Washington, D.C.: The National Academy Press, 2008)Google Scholar

Copyright information

© TMS 2010

Authors and Affiliations

  • Katsuyo Thornton
    • 1
  • Dallas R. Trinkle
    • 2
  • Richard G. Hennig
    • 3
  1. 1.University of MichiganAnn ArborUSA
  2. 2.University of IllinoisUrbanaUSA
  3. 3.Department of Materials Science and Engineering at Cornell UniversityIthacaUSA

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