Articles | Volume 19, issue 12
https://doi.org/10.5194/gmd-19-5343-2026
https://doi.org/10.5194/gmd-19-5343-2026
Development and technical paper
 | 
22 Jun 2026
Development and technical paper |  | 22 Jun 2026

Automatic tuning of iterative pseudo-transient solvers for modeling the deformation of heterogeneous media

Thibault Duretz, Albert de Montserrat, Rubén Sevilla, Ludovic Räss, Ivan Utkin, and Arne Spang

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Cited articles

Alkhimenkov, Y., Räss, L., Khakimova, L., Quintal, B., and Podladchikov, Y.: Resolving Wave Propagation in Anisotropic Poroelastic Media Using Graphical Processing Units (GPUs), J. Geophys. Res.-Sol. Ea., 126, https://doi.org/10.1029/2020JB021175, 2021. a
Anzt, H., Chow, E., Saak, J., and Dongarra, J.: Updating incomplete factorization preconditioners for model order reduction, Numer. Algorithms, 73, 611–630, https://doi.org/10.1007/s11075-016-0110-2, 2016. a
Balachandar, S. and Yuen, D. A.: Three-dimensional fully spectral numerical method for mantle convection with depth-dependent properties, J. Comput. Phys., 113, https://doi.org/10.1006/jcph.1994.1118, 1994. a
Baumgardner, J. R.: Three-dimensional treatment of convective flow in the earth's mantle, J. Stat. Phys., 39, 501–511, https://doi.org/10.1007/BF01008348, 1985. a
Bezanson, J., Edelman, A., Karpinski, S., and Shah, V. B.: Julia: A Fresh Approach to Numerical Computing, SIAM Rev., 59, 65–98, https://doi.org/10.1137/141000671, 2017. a
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Short summary
Geodynamic modeling helps scientists understand how the Earth deforms. New computer methods make these simulations faster and more efficient, especially on powerful computers. They automatically adjust settings for better performance and can handle complex materials and flow types. This approach makes it easier to study large, detailed models of Earth processes.
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