🧮 suanPan is a finite element method (FEM) simulation platform for applications in fields such as solid mechanics and civil/structural/seismic engineering. The name suanPan (in some places such as suffix it is also abbreviated as suPan) comes from the term Suan Pan (算盤), which is Chinese abacus. suanPan is written in modern high quality C++ code and is targeted to provide an efficient, concise, flexible and reliable FEM simulation platform.
The highlights of suanPan are
- suanPan is fast, both memory and thread safe.
- suanPan is designed based on the shared memory model and supports parallelism on heterogeneous architectures, for example multi-threaded CPU + optional GPU. The parallelism is available for both element state updating and global matrix assembling.
- suanPan is open source and easy to be expanded to incorporate user-defined elements, materials, etc.
- suanPan separates the FEA model part from the linear algebra operation part, which significantly reduces the complexity of development.
- suanPan utilizes the new language features shipped with the latest standards (C++14, C++17, etc.), such as new STL containers, smart pointers and many others.
- suanPan supports simple visualization supported by VTK.
Sample models are available for almost all models/commands. Please check the
Example folder for details.
Only 64-bit version is compiled. It is assumed that AVX is available thus if the program fails, please check if your CPU supports AVX.
The binaries, which are compiled with Intel MKL and VTK, are available on Chocolatey, please use the following command to install the package.
Follow the instructions to install Chocolatey.
Make sure the Microsoft Visual C++ Redistributable for Visual Studio 2019 is installed. Alternatively, install it via Chocolatey.
choco install vcredist140
Use the following command to install
choco install suanpan
It is also possible to use Scoop to install the package.
scoop install https://raw.githubusercontent.com/TLCFEM/suanPan/dev/Enhancement/suanpan.json
Linux users are recommended to obtain the binaries via snap. The snap supports visualization via VTK and uses Intel MKL for linear algebra.
Precompiled binaries are provided via CI/CD on MacOS, Windows and Ubuntu. Please download the file from the release page.
Advanced users can compile the program from source by themselves in order to enable
- GPU based solvers which require available CUDA library;
- Visualization support provided by VTK library;
- High performing linear algebra provided by Intel MKL library.
On Windows, to add file associations with
.supan files, please run the
AddAssociation.bat file with admin privilege. Sublime Text autocompletion and syntax highlighting files are also provided. Please check the
On Linux, since CI/CD uses
GCC 9.3.0, thus it may be required to update/install GCC version 9 or above.
sudo apt install gcc-9 g++-9 gfortran-9 libomp5
For VTK enabled versions, it may be necessary to install OpenGL.
sudo apt install libglu1-mesa-dev freeglut3-dev mesa-common-dev
Additional libraries used in suanPan are listed as follows.
- ARPACK version 0.96
- SPIKE version 1.0
- FEAST version 4.0
- SuperLU version 5.2.2 and SuperLU MT version 3.1
- OpenBLAS version 0.3.10
- TBB Threading Building Blocks version 2020U2
- HDF5 version 1.10.6
- MUMPS version 5.2.1
- VTK version 8.2
- CUDA version 11.2
- Armadillo version 10.4
- Intel MKL version 2020
How To Compile
Please refer to the corresponding page in manual for details.