Advertisement

Building an HPC Watering Hole for Boulder Area Computational Science

  • E. R. Jessup
  • H. M. Tufo
  • M. S. Woitaszek
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3515)

Abstract

Access to adequate computing resources is essential for any computational science initiative. Moreover, these resources can serve as a high-performance computing watering hole where ideas are exchanged, collaborations formed, and cycles drawn upon to support interaction. We describe our efforts to bolster computational science research and education in the Boulder area by providing a computational platform for the community. We provide an overview of the educational, research, and partnership activities that are supported by, or have resulted from, this effort.

Keywords

Computational Science Computational Platform Storage Node Lawrence Livermore National Laboratory Terrestrial Carbon Cycle 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Jessup, E.R., Tufo, H.M.: Creating a Sustainable High-Performance Scientific Computing Course. In: International Conference on Computational Science, pp. 1242 (2004)Google Scholar
  2. 2.
    Pacheco, P.: Parallel Programming with MPI. Morgan Kaufmann, San Francisco (1997)zbMATHGoogle Scholar
  3. 3.
    Alliance, T.G.: The Globus Project (2003), http://www.globus.org/
  4. 4.
    Cope, J., Hartsough, C., Tufo, H.M., Wilhelmi, N., Woitaszek, M.: GridBGC: A Grid-Enabled Terrestrial Carbon Cycle Modeling System. In: Submitted to CCGrid - IEEE International Symposium on Cluster Computing and the Grid (2005)Google Scholar
  5. 5.
    Cope, J., Oberg, M., Tufo, H.M., Woitaszek, M.: Shared Parallel Filesystems in Heterogeneous Linux Multi-Cluster Environments. In: Submitted to 6th LCI International Conference on Linux Clusters: The HPC Revolution (2005)Google Scholar
  6. 6.
    St-Cyr, A., Dennis, J.M., Tufo, H.M., Thomas, S.J.: An Efficient Non-Conforming Spectral Element Atmospheric Model using Nonlinear Operator Integration Factor Splitting (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • E. R. Jessup
    • 1
  • H. M. Tufo
    • 1
  • M. S. Woitaszek
    • 1
  1. 1.University of ColoradoBoulderUSA

Personalised recommendations