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Have a look at [ppkMHD](https://github.com/pkestene/ppkMHD)**\n\n[![DOI](https://zenodo.org/badge/42436229.svg)](https://zenodo.org/badge/latestdoi/42436229)\n\n![mhd_mri 200x200](https://github.com/pkestene/ramsesGPU/blob/master/doc/mhd_mri_3d_gpu_Pm4_Re25000_double.gif)\n\n[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.\n\n# RamsesGPU code\n\n## RamsesGPU website\n\nhttp://www.maisondelasimulation.fr/projects/RAMSES-GPU/html/index.html\n\n- See doxygen-generated documentation in doc sub-directory\n\n- Quickstart for building RAMSES-GPU using CMake (recommended)\n\nDefault 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).\n\n```shell\n# step 0:\ngit clone https://github.com/pkestene/ramsesGPU.git\n\n# step 1:\ncd ramsesGPU; mkdir build\n\n# step 2:\ncmake -DUSE_CUDA=ON -DUSE_MPI=ON -DCMAKE_CUDA_ARCHITECTURES=75 ..\n\n# step 3:\nmake -j 8\n```\n\nPlease, note that if you use a more recent version of cmake (\u003e= 3.24), at step 2, you can use `-DCMAKE_CUDA_ARCHITECTURES=native` and cmake will auto-detect the GPU architecture on the build host.\n\nYou should get executable *ramsesGPU_mpi_cuda*. Explore other flag using the ccmake user interface.\n\n- Quickstart for building RAMSES-GPU using autotools (deprecated)\n\n0. make sure to have up-to-date autotools on you build system (autoconf, automake, libtool, m4); then run `sh autogen.sh`\n1. configure --with-cuda=\u003cpath to CUDA toolkit root directory\u003e\n2. make (or make -j N to speed-up compilation time; you might need to execute make several times when using option -j)\n\nNote: make sure to have CUDA toolkit installed, and environment variables PATH and LD_LIBRARY_PATH correctly set.\n\nThis 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\n\nExecute a test run:\n\n```bash\n\tcd src\n\t./euler_gpu --param ../data/jet2d_gpu.ini\n\n```\n\nThis will start a Hydrodynamics 2D jet simulation run. Output files can be\nin multiple file format (VTK, Hdf5, ...).\n\nTo visualize Hdf5 output, just run:\n\n``` bash\n\n\tparaview --data=./jet2d_gpu.xmf\n```\n\n\nContact, questions, comments:\n\npierre.kestener at cea.fr\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpkestene%2Framsesgpu","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpkestene%2Framsesgpu","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpkestene%2Framsesgpu/lists"}