https://github.com/landslidesim/materialpointsolver.jl

🧮 High-performance Material Point Method (MPM) Solver in Julia.
https://github.com/landslidesim/materialpointsolver.jl

cuda material-point-method mpm parallel-computing rocm

Last synced: about 2 months ago
JSON representation

🧮 High-performance Material Point Method (MPM) Solver in Julia.

• Host: GitHub
• URL: https://github.com/landslidesim/materialpointsolver.jl
• Owner: LandslideSIM
• License: mit
• Created: 2024-08-18T15:36:26.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-11-15T11:35:10.000Z (3 months ago)
• Last Synced: 2024-12-10T22:41:22.606Z (about 2 months ago)
• Topics: cuda, material-point-method, mpm, parallel-computing, rocm
• Language: Julia
• Homepage: https://github.com/LandslideSIM/MaterialPointSolver.jl/wiki
• Size: 22.1 MB
• Stars: 3
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Citation: CITATION.cff

Awesome Lists containing this project

README

        
# *MaterialPointSolver* 

[![CI](https://github.com/LandslideSIM/MaterialPointSolver.jl/actions/workflows/ci.yml/badge.svg)](https://github.com/LandslideSIM/MaterialPointSolver.jl/actions/workflows/ci.yml) 

[![](https://img.shields.io/badge/docs-wiki-blue.svg?logo=quicklook)](https://github.com/LandslideSIM/MaterialPointSolver.jl/wiki)

[![](https://img.shields.io/badge/version-v0.3.4-pink)]()

[![](https://img.shields.io/badge/NVIDIA-CUDA-green.svg?logo=nvidia)](https://developer.nvidia.com/cuda-toolkit)

[![](https://img.shields.io/badge/AMD-ROCm-red.svg?logo=amd)](https://www.amd.com/en/products/software/rocm.html)

[![](https://img.shields.io/badge/Intel-oneAPI-blue.svg?logo=intel)](https://www.intel.com/content/www/us/en/developer/tools/oneapi/overview.html)

[![](https://img.shields.io/badge/Apple-Metal-purple.svg?logo=apple)](https://developer.apple.com/metal/)



This package provides a high-performance, backend-agnostic implementation of the Material Point Method (MPM) using the  Julia Language. It is lightweight and user-friendly, allowing efficient execution on various hardware accelerators with a single codebase. Please check here for the documentation.



## Installation ⚙️

Just type ] in Julia's  `REPL`:

```julia

julia> ]

(@1.10) Pkg> add MaterialPointSolver

```

## Citation ❤

If you use `MaterialPointSolver.jl` in your research, please consider to cite this paper:

```bib

@article{index,

  title={Here is the title},

  author={authors},

  journal={journal},

  year={year}

}

```

> [!CAUTION]

> 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](https://github.com/LandslideSIM/Archive_MaterialPointSolver.jl_paper).

## Acknowledgement 👍

This project is sponsored by [Risk Group | Université de Lausanne](https://wp.unil.ch/risk/) and [China Scholarship Council [中国国家留学基金管理委员会]](https://www.csc.edu.cn/).

## MPM ➕ Julia

* [[package]: elastoPlasm.jl](https://github.com/ewyser/elastoPlasm.jl) is fully witten in Julia, it solves explicit elasto-plastic problems within a finite deformation framework.

* [[package]: Tesserae.jl](https://github.com/KeitaNakamura/Tesserae.jl) is an MPM-related Julia package, it provides some useful functions that can be used for MPM, such as convenient macros for transferring data between grids and particles.

* [[code]: MPM-Julia](https://github.com/vinhphunguyen/MPM-Julia) is the code for the paper: Sinai, V.P. Nguyen, C.T. Nguyen and S. Bordas. Programming the Material Point Method in Julia. Advances in Engineering Software,105: 17--29, 2017.

* [[code]: jump](https://github.com/vinhphunguyen/jump) is for the theory of the MPM described in the book 'The Material Point Method: Theory, Implementations and Applications (Scientific Computation) 1st ed. 2023 Edition'. [https://link.springer.com/book/10.1007/978-3-031-24070-6](https://link.springer.com/book/10.1007/978-3-031-24070-6)