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 M 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, Los Angeles, CA, United States, (2)University of Colorado Boulder, Applied Mathematics, Boulder, CO, United States, (3)Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, United States, (4)University of Alberta, Department of Physics, Edmonton, AB, Canada, (5)Institute for Geophysics, Austin, TX, United States, (6)University of California Davis, Davis, CA, United States, (7)Johns Hopkins University, Earth and Planetary Science, 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)Johns Hopkins Univ, Baltimore, MD, 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