Data Parallel Extensions for Python: near-native speed for scientific computing

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • dpbench

    Benchmark suite to evaluate Data Parallel Extensions for Python (by IntelPython)

  • dpctl

    Python SYCL bindings and SYCL-based Python Array API library

  • Considering how poorly it seems to support cuda as a backend [0], I wouldn't hold my breath about non intel vendor support (amd cpu or gpu). As for less common gpus, there really is no good support in any library. If you ever want to go down a fun rabbit hole, try to use the gpu in a raspberry pi for something. You'll eventually find one guy who reverse engineered the drivers to make a compiler but that's it.

    [0] https://github.com/IntelPython/dpctl/discussions/1124

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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