Package: python3-compyle (0.7-2)

[ Source: compyle  ]

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.

Other Packages Related to python3-compyle

• dep: cython3

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• dep: python3

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• dep: python3-mako

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• 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

  Python 3 module to access Nvidia‘s CUDA parallel computation API

• sug: python3-pyopencl

  Python 3 module to access OpenCL parallel computation API

Download python3-compyle

Download for all available architectures

Architecture	Package Size	Installed Size	Files
all	83.1 kB	530.0 kB	[list of files]