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Paket: python3-compyle (0.8.1-2)

Execute a subset of Python on HPC platforms

ComPyle allows users to execute a restricted subset of Python (almost similar to C) on a variety of HPC platforms. Currently it supports multi-core execution using Cython, and OpenCL and CUDA for GPU devices.

Users start with code implemented in a very restricted Python syntax, this code is then automatically transpiled, compiled and executed to run on either one CPU core, or multiple CPU cores (via OpenMP_) or on a GPU. CPy offers source-to-source transpilation, making it a very convenient tool for writing HPC libraries.

Some simple yet powerful parallel utilities are provided which can allow you to solve a remarkably large number of interesting HPC problems.

ComPyle also features JIT transpilation if you wish making it easy to use.

Andere Pakete mit Bezug zu python3-compyle

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  • empfiehlt
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  • dep: cython3
    C-Extensions for Python 3
  • dep: python3
    interactive high-level object-oriented language (default python3 version)
  • dep: python3-mako
    fast and lightweight templating for the Python 3 platform
  • dep: python3-numpy
    Fast array facility to the Python 3 language
  • dep: python3-pytools
    big bag of things supplementing Python 3 standard library
  • sug: python3-pycuda
    Paket nicht verfügbar
  • sug: python3-pyopencl
    Python 3 module to access OpenCL parallel computation API

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