Hybrid Parallel Multigrid Methods for Geodynamical Simulations

  • Simon Bauer
  • Hans-Peter Bunge
  • Daniel Drzisga
  • Björn Gmeiner
  • Markus Huber
  • Lorenz John
  • Marcus Mohr
  • Ulrich Rüde
  • Holger Stengel
  • Christian Waluga
  • Jens Weismüller
  • Gerhard Wellein
  • Markus Wittmann
  • Barbara Wohlmuth
Conference paper
Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 113)

Abstract

Even on modern supercomputer architectures, Earth mantle simulations are so compute intensive that they are considered grand challenge applications. The dominating roadblocks in this branch of Geophysics are model complexity and uncertainty in parameters and data, e.g., rheology and seismically imaged mantle heterogeneity, as well as the enormous space and time scales that must be resolved in the computational models. This article reports on a massively parallel all-at-once multigrid solver for the Stokes system as it arises in mantle convection models. The solver employs the hierarchical hybrid grids framework and demonstrates that a system with coupled velocity components and with more than a trillion (1. 7 ⋅ 1012) degrees of freedom can be solved in about 1,000 s using 40,960 compute cores of JUQUEEN. The simulation framework is used to investigate the influence of asthenosphere thickness and viscosity on upper mantle velocities in a static scenario. Additionally, results for a time-dependent simulation with a time-variable temperature-dependent viscosity model are presented.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Simon Bauer
    • 1
  • Hans-Peter Bunge
    • 1
  • Daniel Drzisga
    • 2
  • Björn Gmeiner
    • 3
  • Markus Huber
    • 2
  • Lorenz John
    • 2
  • Marcus Mohr
    • 1
  • Ulrich Rüde
    • 3
  • Holger Stengel
    • 4
  • Christian Waluga
    • 2
  • Jens Weismüller
    • 1
  • Gerhard Wellein
    • 4
  • Markus Wittmann
    • 4
  • Barbara Wohlmuth
    • 2
  1. 1.Department of Earth and Environmental SciencesLudwig-Maximilians-Universität MünchenMünchenGermany
  2. 2.Institute for Numerical MathematicsTechnische Universität MünchenMünchenGermany
  3. 3.Department of Computer Science 10Friedrich-Alexander-University Erlangen-NurembergErlangenGermany
  4. 4.Erlangen Regional Computing Center (RRZE)Friedrich-Alexander-University Erlangen-NurembergErlangenGermany

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