套件：python3-compyle（0.7-2）
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.
其他與 python3-compyle 有關的套件
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- dep: cython3
- C-Extensions for Python 3
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
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- dep: python3-mako
- fast and lightweight templating for the Python 3 platform
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- dep: python3-numpy
- Fast array facility to the Python 3 language
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- dep: python3-pytools
- big bag of things supplementing Python 3 standard library
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- sug: python3-pycuda
- Python 3 module to access Nvidia‘s CUDA parallel computation API
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- sug: python3-pyopencl
- Python 3 module to access OpenCL parallel computation API