Get Started

Installation

Just type ] in Julia's REPL to enter the built-in Pkg manager:

julia> ]
(@1.11) Pkg> add MaterialPointSolver

Supported platforms

CPU x86/arm

using MaterialPointSolver

CUDA | NVIDIA

using MaterialPointSolver
using CUDA

ROCm | AMD

using MaterialPointSolver
using AMDGPU

Metal | Apple

using MaterialPointSolver
using Metal

oneAPI | Intel

using MaterialPointSolver
using oneAPI

Citation

If you find MaterialPointSolver.jl useful or have used it in your research, please cite it as follows:

@article{HUO2025107189,
title = {A high-performance backend-agnostic Material Point Method solver in Julia},
journal = {Computers and Geotechnics},
volume = {183},
pages = {107189},
year = {2025},
issn = {0266-352X},
doi = {https://doi.org/10.1016/j.compgeo.2025.107189},
url = {https://www.sciencedirect.com/science/article/pii/S0266352X25001387},
author = {Zenan Huo and Yury Alkhimenkov and Michel Jaboyedoff and Yury Podladchikov and Ludovic Räss and Emmanuel Wyser and Gang Mei},
keywords = {MPM, Julia language, Heterogeneous computing, Effective memory throughput}

WARNING

This is the latest version of MaterialPointSover.jl, if you want to see the examples in the paper, please move to https://github.com/LandslideSIM/Archive_MaterialPointSolver.jl_paper.

Acknowledgement

This project is sponsored by Risk Group | Université de Lausanne and China Scholarship Council [中国国家留学基金管理委员会].