Karamelo is a parallel simulator for the Material Point Method (MPM). It supports both multiple CPUs (master branch) and single GPUs (kokkos branch).
Stay updated:
If you would like to stay updated about Karamelo and also help me understand who uses Karamelo, and for what purposes, please fill up this form: https://forms.gle/aHZ9s5Pc4aTQLZ2b8
News
- Mar 2024: Karamelo now supports GPUs through the use of Kokkos. Please use the dedicated branch kokkos if you want to use it.
- April 2021: Karamelo now supports restarts
- October 2019: It is now possible to model contacts with TLMPM: https://www.researchgate.net/publication/344552510_Modelling_contacts_with_a_total_Lagrangian_material_point_method
- October 2019: Karamelo has been used extensively for the simulations featured in our MPM review: https://www.researchgate.net/publication/343096803_Material_point_method_after_25_years_theory_implementation_and_applications
- January 2020: Karamelo featured in our recent publication on Total Lagrangian MPM: https://www.sciencedirect.com/science/article/pii/S0045782519306759
- April 2020: Karamelo becomes public under the GNU General Public License
Methods supported:
- Standard MPM
- Total Lagrangian MPM (https://www.sciencedirect.com/science/article/pii/S0045782519306759)
- CPDI
Featuring the following shape functions:
- Linear
- Cubic Bsplines
- Bernstein quadratic (for total Lagrangian MPM only)
Cite Karamelo:
When you publish data obtained with the help of Karamelo, please cite: A. de Vaucorbeil, V. P. Nguyen, and C. Nguyen-Thanh, “Karamelo: an open source parallel c++ package for the material point method,” Computational Particle Mechanics, oct 2020.
This paper is availble only at https://www.researchgate.net/publication/343096803_Material_point_method_after_25_years_theory_implementation_and_applications or on the cite of the editor: https://link.springer.com/article/10.1007/s40571-020-00369-8
Documentation:
Please find Karamelo's documentation here: https://adevaucorbeil.github.io/karamelo/html/index.html