DDC is the discrete domain computation library, 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 (eg. from a regular mesh to a non-uniform one) with performance portability.

Discover more

First, you should have a look at our commented example / tutorial.
To know more, you can delve in the reference documentation.
Use the source, Luke.
You should definitely come see us on Slack.

Join us

If you like the project, leave us a ⭐star⭐ on Github. And of course, we would love to talk with you on our Slack channel https://ddc-lib.slack.com/.