The discrete domain computation library (DDC)

See https://ddc.mdls.fr/

DDC, is a C++-17 library that aims to offer to the C++/MPI world an equivalent to the xarray.DataArray/dask.Array python environment. Where these two libraries are based on numpy, DDC relies on Kokkos and mdspan to offer CPU/GPU performance-portable multi-dimensional arrays and iterators.

DDC aims to offer abstractions to represent:

• tagged continuous dimensions,
• discretizations of these (multiple kinds of meshes, function spaces, Fourier, etc.),
• domains in these discretized dimensions,
• associating data to the elements of these discrete domains,
• efficient distribution and iteration over this data.

All these abstractions are handled at compilation using C++ template meta-programming to ensure zero overhead at execution and enable developers to change their design choices (e.g. from a regular mesh to a non-uniform one) with performance portability.

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Getting the code and basic configuration

git clone --recurse-submodules -j4 https://github.com/CExA-project/ddc.git
cd ddc
cmake -B build -D DDC_BUILD_KERNELS_FFT=OFF -D DDC_BUILD_KERNELS_SPLINES=OFF -D DDC_BUILD_PDI_WRAPPER=OFF
cmake --build build