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19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 13
A High-Performance Framework for Sun-to-Earth Space Weather Modeling
Denver, Colorado
April 04-April 08
ISBN: 0-7695-2312-9
Ovsei Volberg, Tech-X Corporation, Boulder, CO
Tamas I. Gombosi, The University of Michigan, Ann Arbor, MI
Kenneth G. Powell, The University of Michigan, Ann Arbor, MI
Aaron J. Ridley, The University of Michigan, Ann Arbor, MI
Kenneth C. Hansen, The University of Michigan, Ann Arbor, MI
Gabor Toth, The University of Michigan, Ann Arbor, MI
Quentin F. Stout, The University of Michigan, Ann Arbor, MI
Darren De Zeeuw, The University of Michigan, Ann Arbor, MI
Kevin Kane, The University of Michigan, Ann Arbor, MI
David R. Chesney, The University of Michigan, Ann Arbor, MI
Robert Oehmke, The University of Michigan, Ann Arbor, MI
The Space Weather Modeling Framework (SWMF) aims at providing software architecture for integrated modeling of different domains of Sun-Earth system and high-performance physics-based space weather simulation. The SWMF component architecture promotes collaboration between developers of individual physics models and empowers them by providing coupling context and parallel and distributed computing support. The framework design places minimal requirements on components. The webbased Graphical User Interface facilitates the remote access to the framework even from scientific groups that do not have an access to supercomputers or clusters otherwise.
Citation:
Ovsei Volberg, Tamas I. Gombosi, Kenneth G. Powell, Aaron J. Ridley, Kenneth C. Hansen, Gabor Toth, Quentin F. Stout, Darren De Zeeuw, Kevin Kane, David R. Chesney, Robert Oehmke, "A High-Performance Framework for Sun-to-Earth Space Weather Modeling," ipdps, vol. 14, pp.256b, 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 13, 2005
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