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Distributed algorithms and manipulations over CGNS meshes

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Maia is a Python and C++ library for parallel algorithms and manipulations over CGNS meshes. Maia introduces a parallel representation of the CGNS trees and uses ParaDiGM as a back-end to provide various functions applicable to these trees.

Getting started

Onera users

User documentation is deployed on the Gitlab pages server: https://numerics.gitlab-pages.onera.net/mesh/maia/index.html.

Stable installations are provided on Spiro and Sator clusters: for example, on Spiro-EL8 partition, Maia environment can be loaded with the following lines:

source /scratchm/sonics/dist/source.sh --env maia
module load maia/dev-default

Additional environments are provided in the Quick start page of the documention.

Other users

You can use the external documentation link : https://onera.github.io/Maia/index.html.

See the next section to build your own version of Maia.

Build and install

Follow these steps to build Maia from the sources:

  1. git clone [email protected]:numerics/mesh/maia.git
  2. cd maia
  3. git submodule update --init (needed for dependencies)
  4. (cd external/paradigm && git submodule update --init extensions/paradigma) (enable advanced features)
  5. Use cmake to configure, build and install. See the complete procedure here doc/installation.rst

Documentation can be build with cmake flag -Dmaia_ENABLE_DOCUMENTATION=ON

Contributing

Maia is open-source software. Contributions are welcome. See Contributing.

Issues can be reported directly on the Issues section.

License

Maia is available under the MPL-2.0 license (https://mozilla.org/MPL/2.0/).

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