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All Projects → inducer → Loopy

inducer / Loopy

Licence: mit
A code generator for array-based code on CPUs and GPUs

Programming Languages

python
139335 projects - #7 most used programming language

Labels

performancecudacode-generationopenclscientific-computingcode-generatorperformance-analysisarrayscanmultidimensional-arrays

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Loopy: Transformation-Based Generation of High-Performance CPU/GPU Code

.. image:: https://gitlab.tiker.net/inducer/loopy/badges/main/pipeline.svg :alt: Gitlab Build Status :target: https://gitlab.tiker.net/inducer/loopy/commits/main .. image:: https://github.com/inducer/loopy/workflows/CI/badge.svg?branch=main&event=push :alt: Github Build Status :target: https://github.com/inducer/loopy/actions?query=branch%3Amain+workflow%3ACI+event%3Apush .. image:: https://badge.fury.io/py/loopy.png :alt: Python Package Index Release Page :target: https://pypi.org/project/loopy/

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.

It can capture the following types of optimizations:

  • Vector and multi-core parallelism in the OpenCL/CUDA model
  • Data layout transformations (structure of arrays to array of structures)
  • Loop unrolling
  • Loop tiling with efficient handling of boundary cases
  • Prefetching/copy optimizations
  • Instruction level parallelism
  • and many more

Loopy targets array-type computations, such as the following:

  • dense linear algebra,
  • convolutions,
  • n-body interactions,
  • PDE solvers, such as finite element, finite difference, and Fast-Multipole-type computations

It is not (and does not want to be) a general-purpose programming language.

Loopy is licensed under the liberal MIT license <https://en.wikipedia.org/wiki/MIT_License>_ and free for commercial, academic, and private use. All of Loopy's dependencies can be automatically installed from the package index after using::

pip install loopy

In addition, Loopy is compatible with and enhances pyopencl <https://mathema.tician.de/software/pyopencl>_.

Places on the web related to Loopy:

  • Python package index <https://pypi.org/project/loopy>_ (download releases)
  • Documentation <https://documen.tician.de/loopy>_ (read how things work)
  • Github <https://github.com/inducer/loopy>_ (get latest source code, file bugs)
  • Homepage <https://mathema.tician.de/software/loopy>_
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