README.rst

arraycontext: Choose your favorite ``numpy``-workalike
======================================================

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GPU arrays? Deferred-evaluation arrays? Just plain ``numpy`` arrays? You'd like your
code to work with all of them? No problem! Comes with pre-made array context
implementations for:

- numpy
- `PyOpenCL <https://documen.tician.de/pyopencl/array.html>`__
- `JAX <https://jax.readthedocs.io/en/latest/>`__
- `Pytato <https://documen.tician.de/pytato>`__ (for lazy/deferred evaluation)
  with backends for ``pyopencl`` and ``jax``.
- Debugging
- Profiling

``arraycontext`` started life as an array abstraction for use with the
`meshmode <https://documen.tician.de/meshmode/>`__ unstrucuted discretization
package.

Distributed under the MIT license.

Links
-----

* `Source code on Github <https://github.com/inducer/arraycontext>`_
* `Documentation <https://documen.tician.de/arraycontext>`_