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A code generator for array-based code on CPUs and GPUs

Project description

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)

  • Loopy 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 and free for commercial, academic, and private use. To use Loopy, you just need pyopencl.

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Project details

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