https://github.com/LLNL/SAMRAI

Structured Adaptive Mesh Refinement Application Infrastructure - a scalable C++ framework for block-structured AMR application development
https://github.com/LLNL/SAMRAI

adaptive-mesh-refinement amr cpp hpc math-physics parallel-computing radiuss scientific-computing

Last synced: 11 days ago
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Structured Adaptive Mesh Refinement Application Infrastructure - a scalable C++ framework for block-structured AMR application development

• Host: GitHub
• URL: https://github.com/LLNL/SAMRAI
• Owner: LLNL
• License: other
• Created: 2016-03-03T22:02:59.000Z (over 8 years ago)
• Default Branch: develop
• Last Pushed: 2024-08-12T23:46:24.000Z (3 months ago)
• Last Synced: 2024-08-13T02:07:29.003Z (3 months ago)
• Topics: adaptive-mesh-refinement, amr, cpp, hpc, math-physics, parallel-computing, radiuss, scientific-computing
• Language: C++
• Homepage: https://computing.llnl.gov/projects/samrai
• Size: 73.5 MB
• Stars: 218
• Watchers: 36
• Forks: 80
• Open Issues: 53
• Metadata Files:
  • Readme: README
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

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README

        
Building SAMRAI using CMake:

    mkdir build && cd build

    cmake ../

    make

Third-party libraries will be detected by CMake based on what is in your path.

On LC systems, the `use` command should set the right environment variables.

Alternatively, you can use `CMAKE_PREFIX_PATH` to point CMake at the locations

of the libraries. The only required library is boost. HDF5 is enabled by

default but can be turned off by passing the argument `-DENABLE_HDF5=Off` to

CMake.  More extensive instructions on building and installing SAMRAI using

CMake are available in the INSTALL-NOTES file.