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Loopy lets you easily generate the tedious, complicated code that is necessaryto get good performance out of GPUs and multi-core CPUs.Loopy's core idea is that a computation should be described simply and thentransformed into a version that gets high performance. This transformationtakes 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, andFast-Multipole-type computations.

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

Loopy is licensed under the liberalMIT license and free for commercial, academic,and private use. All of Loopy's dependencies can be automatically installed fromthe package index after using:

pip install loopy

In addition, Loopy is compatible with and enhancespyopencl.

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Places on the web related to Loopy:

• Python Package Index (download releases)
• Documentation (read how things work)
• Github (get latest source code, file bugs)
• Homepage
• Benchmarks