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Commit 5344e0dc authored by Andreas Klöckner's avatar Andreas Klöckner
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Add build badge, prettify README

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Loopy lets you easily generate the tedious, complicated code that is necessary
to get good performance out of GPUs and multi-core CPUs.
----
Places on the web related to Loopy:
* `Python package index <http://pypi.python.org/pypi/loo.py>`_ (download releases) Note the extra '.' in the PyPI identifier!
.. image:: https://badge.fury.io/py/loo.py.png
:target: http://pypi.python.org/pypi/loo.py
* `Documentation <http://documen.tician.de/loopy>`_ (read how things work)
* `Github <http://github.com/inducer/loopy>`_ (get latest source code, file bugs)
* `Wiki <http://wiki.tiker.net/Loopy>`_ (read installation tips, get examples, read FAQ)
* `Homepage <http://mathema.tician.de/software/loopy>`_
Loopy: Transformation-Based Generation of High-Performance CPU/GPU Code
=======================================================================
----
.. image:: https://gitlab.tiker.net/inducer/loopy/badges/master/pipeline.svg
:target: https://gitlab.tiker.net/inducer/loopy/commits/master
.. image:: https://badge.fury.io/py/loo.py.png
:target: http://pypi.python.org/pypi/loo.py
Loopy lets you easily generate the tedious, complicated code that is necessary
to get good performance out of GPUs and multi-core CPUs.
Loopy's core idea is that a computation should be described simply and then
*transformed* into a version that gets high performance. This transformation
takes place under user control, from within Python.
......@@ -51,3 +42,14 @@ the package index after using::
In addition, Loopy is compatible with and enhances
`pyopencl <http://mathema.tician.de/software/pyopencl>`_.
---
Places on the web related to Loopy:
* `Python package index <http://pypi.python.org/pypi/loo.py>`_ (download releases) Note the extra '.' in the PyPI identifier!
* `Documentation <http://documen.tician.de/loopy>`_ (read how things work)
* `Github <http://github.com/inducer/loopy>`_ (get latest source code, file bugs)
* `Wiki <http://wiki.tiker.net/Loopy>`_ (read installation tips, get examples, read FAQ)
* `Homepage <http://mathema.tician.de/software/loopy>`_
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