Loo.py

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

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."

https://github.com/inducer/loopy

https://mathema.tician.de/software/loopy/

https://documen.tician.de/loopy/

http://hgpu.org/?p=15782