Advertisement

Air Pollution Modeling in the CrossGrid Project

  • J. Carlos Mouriño
  • María J. Martín
  • Patricia González
  • Ramón Doallo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3036)

Abstract

The CrossGrid project develops, implements and exploits new Grid components for interactive compute and data intensive applications like simulation and visualization for surgical procedures, flooding crisis team decision support systems, distributed data analysis in high-energy physics, and air pollution combined with weather forecasting. We present in this paper the integration of the air pollution application with other components of the project and show the benefits of using a Grid platform for running this application.

Keywords

Grid Resource Grid Environment Resource Broker Grid Platform Numerical Weather Prediction System 
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.
    Crossgrid home page, http://www.crossgrid.org/
  2. 2.
    Belleman, R.G., Sloot, P.M.A.: The Design of Dynamic Exploration Environments for Computational Steering Simulations. In: Proceedings of the SGI Users’ Conference 2000, October 2000, vol. 1, pp. 57–74. Academic Computer Centre CYFRONET AGH, Krakov, Poland (2000)Google Scholar
  3. 3.
    Hluchy, L., Habala, O., Simo, B., Astalos, J., Tran, V.D., Dobrucky, M.: Problem Solving Environment for Flood Forecasting. In: 1st International NAISO Symposium on Information Technologies in Environmental Engineering (ITEE 2003), Gdansk, Poland (June 2003)Google Scholar
  4. 4.
    Bethke, S., Calvetti, M., Hoffman, H.F., Jacobs, D., Kasemann, M., Linglin, D.: Report of the Steering Group of the LHC Computing Review. In CERN/LHCC/2001-004, CERN/RRB-D 2001-3 (February 2001)Google Scholar
  5. 5.
    Martín, M.J., Singh, D.E., Carlos Mouriño, J., Rivera, F.F., Doallo, R., Bruguera, J.D.: High Performance Air Pollution Modeling for a Power Plant Environment. Parallel Computing 29(11-12), 1763–1790 (2003)CrossRefGoogle Scholar
  6. 6.
    Niezgodka, M., Jakubiak, B.: Numerical Weather Prediction System: Scientific and Operational Aspects. In: Proceedings of the III Symposium on Military meteorology, pp. 191–197 (1998)Google Scholar
  7. 7.
    Carmichael, G.R., Peters, L.K., Saylor, R.D.: The STEM-II Regional Scale Acid Deposition and Photochemical Oxidant Model - I. An Overview of Model Development and Applications. Atmospheric Environment 25A(10), 2077–2090 (1991)Google Scholar
  8. 8.
    Mouriño, J.C., Martín, M.J., González, P., Boullón, M., Cabaleiro, J.C., Pena, T.F., Rivera, F.F., Doallo, R.: A Grid-enable Air Quality Simulation. In: First European Across Grids Conference (2003)Google Scholar
  9. 9.
    Krammer, B., Bidmon, K., Müller, M.S., Resch, M.M.: MARMOT: An MPI Analysis and Checking Tool. In: Parallel Computing 2003, Dresden, Germany (September 2003)Google Scholar
  10. 10.
    Tsoloupas, G., Dikaiakos, M.: GridBench: A Tool for Benchmarking Grids. In: 4th International Workshop on Grid Computing (Grid2003), Phoenix, Arizona (2003) (accepted)Google Scholar
  11. 11.
    Blanco, V., González, P., Cabaleiro, J.C., Heras, D., Pena, T.F., Pombo, J.J., Rivera, F.F.: Visualizing the Performance Prediction of Parallel Iterative Solvers. Future Generation of Computer Systems 19, 721–733 (2003)CrossRefGoogle Scholar
  12. 12.
    Foster, I., Kesselman, C.: GLOBUS: a Metacomputing Infrastructure Toolkit. International Journal Supercomputing Applications, 115–128 (1997)Google Scholar
  13. 13.
    Heymann, E., Senar, M.A., Luque, E., Livny, M.: Adaptive Scheduling for Master-Worker Applications on the Computational Grid. In: Buyya, R., Baker, M. (eds.) GRID 2000. LNCS, vol. 1971, p. 214. Springer, Heidelberg (2000)CrossRefGoogle Scholar
  14. 14.
    Engh, D., Smallen, S., Gieraltowski, J., Fang, L., Gardner, R., Gannon, D., Bramley, R.: GRAPPA: Grid Access Portal for Physics Applications (June 26, 2003), Talk from the 2003 Computing in High Energy and Nuclear Physics (CHEP 2003), La Jolla, Ca, USA (March 2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • J. Carlos Mouriño
    • 1
  • María J. Martín
    • 1
  • Patricia González
    • 1
  • Ramón Doallo
    • 1
  1. 1.Computer Architecture Group. Department of Electronics and SystemsUniversity of A CoruñaSpain

Personalised recommendations