https://github.com/pkestene/ramsesgpu
Astrophysics MHD simulation code optimized for large cluster of GPU
https://github.com/pkestene/ramsesgpu
astrophysics cea cfd conservation-law cuda euler-equations finite-volume gpu gpu-computing hdf5 hpc kelvin-helmholtz-instability magnetohydrodynamics mhd muscl-hancock parallel-computing pnetcdf rayleigh-taylor shearing-box turbulence
Last synced: 2 months ago
JSON representation
Astrophysics MHD simulation code optimized for large cluster of GPU
- Host: GitHub
- URL: https://github.com/pkestene/ramsesgpu
- Owner: pkestene
- License: other
- Created: 2015-09-14T08:21:34.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2024-12-20T17:41:12.000Z (5 months ago)
- Last Synced: 2025-03-04T23:32:14.849Z (3 months ago)
- Topics: astrophysics, cea, cfd, conservation-law, cuda, euler-equations, finite-volume, gpu, gpu-computing, hdf5, hpc, kelvin-helmholtz-instability, magnetohydrodynamics, mhd, muscl-hancock, parallel-computing, pnetcdf, rayleigh-taylor, shearing-box, turbulence
- Language: C++
- Homepage: http://www.maisondelasimulation.fr/projects/RAMSES-GPU/html/index.html
- Size: 5.82 MB
- Stars: 58
- Watchers: 7
- Forks: 11
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: ChangeLog
- Authors: AUTHORS
Awesome Lists containing this project
README
**WARNING: This code is mostly deprecated. Have a look at [ppkMHD](https://github.com/pkestene/ppkMHD)**
[](https://zenodo.org/badge/latestdoi/42436229)
[Magneto Rotational Instability](https://en.wikipedia.org/wiki/Magnetorotational_instability) simulation in a shearing box setup (800x1600x800) made in 2013 on [TGCC/CURIE](http://www-hpc.cea.fr/fr/complexe/tgcc-curie.htm) using 256 GPUs. Here [Reynolds number](https://en.wikipedia.org/wiki/Reynolds_number) is 25000 and [Prandtl number](https://en.wikipedia.org/wiki/Prandtl_number) is 4.
# RamsesGPU code
## RamsesGPU website
http://www.maisondelasimulation.fr/projects/RAMSES-GPU/html/index.html
- See doxygen-generated documentation in doc sub-directory
- Quickstart for building RAMSES-GPU using CMake (recommended)
Default CUDA compilation flags can be passed to cmake using env variable CUDAFLAGS, or directly set CMAKE_CUDA_FLAGS on the configuration command line (see below).
```shell
# step 0:
git clone https://github.com/pkestene/ramsesGPU.git
# step 1:
cd ramsesGPU; mkdir build
# step 2:
cmake -DUSE_CUDA=ON -DUSE_MPI=ON -DCMAKE_CUDA_ARCHITECTURES=75 ..
# step 3:
make -j 8
```
Please, note that if you use a more recent version of cmake (>= 3.24), at step 2, you can use `-DCMAKE_CUDA_ARCHITECTURES=native` and cmake will auto-detect the GPU architecture on the build host.
You should get executable *ramsesGPU_mpi_cuda*. Explore other flag using the ccmake user interface.
- Quickstart for building RAMSES-GPU using autotools (deprecated)
0. make sure to have up-to-date autotools on you build system (autoconf, automake, libtool, m4); then run `sh autogen.sh`
1. configure --with-cuda=
2. make (or make -j N to speed-up compilation time; you might need to execute make several times when using option -j)
Note: make sure to have CUDA toolkit installed, and environment variables PATH and LD_LIBRARY_PATH correctly set.
This will build the monoCPU / monoGPU version of the programme to solve hydro/MHD problems. Executable are located in src subdirectory and named euler_cpu / euler_gpu
Execute a test run:
```bash
cd src
./euler_gpu --param ../data/jet2d_gpu.ini
```
This will start a Hydrodynamics 2D jet simulation run. Output files can be
in multiple file format (VTK, Hdf5, ...).
To visualize Hdf5 output, just run:
``` bash
paraview --data=./jet2d_gpu.xmf
```
Contact, questions, comments:
pierre.kestener at cea.fr