Scaling up Planetary Dynamo Modeling to Massively Parallel Computing Systems: The Rayleigh Code at ALCF
Jonathan M Aurnou1, Nicholas Andrew Featherstone2, Rakesh Kumar Yadav3, Moritz H Heimpel4, Krista Marie Soderlund5, Hiroaki Matsui6, Sabine Stanley7, Benjamin P. Brown8, Gary Glatzmaier9, Peter Olson10, Bruce A Buffett11, Lorraine Hwang6 and Louise H Kellogg12, (1)University of California Los Angeles, Department of Earth, Planetary, and Space Sciences, Los Angeles, United States, (2)University of Colorado Boulder, Applied Mathematics, Boulder, United States, (3)Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, United States, (4)University of Alberta, Department of Physics, Edmonton, AB, Canada, (5)University of Texas, Institute for Geophysics, Austin, United States, (6)University of California Davis, Davis, CA, United States, (7)Johns Hopkins University, Department of Earth and Planetary Sciences, Baltimore, MD, United States, (8)Laboratory for Atmospheric and Space Physics, Boulder, CO, United States, (9)University of California, Santa Cruz, CA, United States, (10)University of New Mexico, Department of Earth and Planetary Sciences, Albuquerque, United States, (11)University of California Berkeley, Earth and Planetary Science, Berkeley, CA, United States, (12)UC Davis, Department of Earth and Planetary Sciences, Davis, CA, United States
