Scaling up Planetary Dynamo Modeling to Massively Parallel Computing Systems: The Rayleigh Code at ALCF
- ADS bibcode
- 2017AGUFMDI33B0411F
- year
- 2017
- Listed Authors
- Featherstone, N. A.
- Aurnou, J. M.
- Yadav, R. K.
- Heimpel, M. H.
- Soderlund, K. M.
- Matsui, H.
- Stanley, S.
- Brown, B. P.
- Glatzmaier, G.
- Olson, P.
- Buffett, B. A.
- Hwang, L.
- Kellogg, L. H.
- Listed Institutions
- Applied Mathematics, University of Colorado Boulder, Boulder, CO, United States
- University of California Los Angeles, Los Angeles, CA, United States
- Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, United States
- Department of Physics, University of Alberta, Edmonton, AB, Canada
- Institute for Geophysics, Austin, TX, United States
- University of California Davis, Davis, CA, United States
- Earth and Planetary Science, Johns Hopkins University, Baltimore, MD, United States
- Laboratory for Atmospheric and Space Physics, Boulder, CO, United States
- University of California, Santa Cruz, CA, United States
- Johns Hopkins Univ, Baltimore, MD, United States
- Earth and Planetary Science, University of California Berkeley, Berkeley, CA, United States
- University of California Davis, Davis, CA, United States
- Department of Earth and Planetary Sciences, UC Davis, Davis, CA, United States
Linked Authors [?]
Linked Institutions
- Johns Hopkins University, Department of Earth and Planetary Sciences
- Johns Hopkins University, Maryland
- University of Alberta, Department of Physics
- University of California, Berkeley, Department of Earth and Planetary Science
- University of California, Davis
- University of California, Davis, Department of Earth and Planetary Sciences
- University of California, Los Angeles
- University of California, Santa Cruz
- University of Colorado, Boulder
- University of Colorado, Boulder, Laboratory for Atmospheric and Space Physics
- University of Texas, Austin, Department of Geological Sciences