Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 12
Articles | Volume 14, issue 12
https://doi.org/10.5194/gmd-14-7749-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-7749-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 12
Model description paper
 | 
22 Dec 2021
Model description paper |  | 22 Dec 2021

An explicit GPU-based material point method solver for elastoplastic problems (ep2-3De v1.0)

Emmanuel Wyser, Yury Alkhimenkov, Michel Jaboyedoff, and Yury Y. Podladchikov

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Latest update: 13 Dec 2024
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Short summary
We propose an implementation of the material point method using graphical processing units (GPUs) to solve elastoplastic problems in three-dimensional configurations, such as the granular collapse or the slumping mechanics, i.e., landslide. The computational power of GPUs promotes fast code executions, compared to a traditional implementation using central processing units (CPUs). This allows us to study complex three-dimensional problems tackling high spatial resolution.
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