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[ Source: pyopencl  ]

Package: python3-pyopencl (2024.1-1 and others)

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Python 3 module to access OpenCL parallel computation API

PyOpenCL lets you access the OpenCL parallel computation API from Python. Here's what sets PyOpenCL apart:

 * Object cleanup tied to lifetime of objects. This idiom, often called
   RAII in C++, makes it much easier to write correct, leak- and
   crash-free code.
 * Completeness. PyOpenCL puts the full power of OpenCL’s API at your
   disposal, if you wish.
 * Convenience. While PyOpenCL's primary focus is to make all of OpenCL
   accessible, it tries hard to make your life less complicated as it
   does so--without taking any shortcuts.
 * Automatic Error Checking. All OpenCL errors are automatically
   translated into Python exceptions.
 * Speed. PyOpenCL’s base layer is written in C++, so all the niceties
   above are virtually free.
 * Helpful, complete documentation and a wiki.
 * Liberal licensing (MIT).

This package contains Python 3 modules.

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Download for all available architectures
Architecture Version Package Size Installed Size Files
amd64 2024.1-1+b1 491.0 kB2,203.0 kB [list of files]
arm64 2024.1-1+b2 497.9 kB2,407.0 kB [list of files]
armel 2024.1-1+b1 448.7 kB2,162.0 kB [list of files]
armhf 2024.1-1+b1 458.7 kB1,830.0 kB [list of files]
i386 2024.1-1+b1 499.3 kB2,198.0 kB [list of files]
mips64el 2024.1-1+b1 418.8 kB2,490.0 kB [list of files]
ppc64 (unofficial port) 2024.1-1+b1 462.7 kB2,535.0 kB [list of files]
ppc64el 2024.1-1+b1 466.9 kB2,471.0 kB [list of files]
riscv64 2024.1-1+b1 480.3 kB1,931.0 kB [list of files]
s390x 2024.1-1+b1 467.9 kB2,215.0 kB [list of files]
sparc64 (unofficial port) 2024.1-1+b1 411.7 kB3,057.0 kB [list of files]
x32 (unofficial port) 2023.1.3-1 493.8 kB2,133.0 kB [list of files]