Пакунок: python-pycuda (2018.1.1-3) [contrib]

Links for python-pycuda

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External Resources:

Homepage [mathema.tician.de]

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Python module to access Nvidia‘s CUDA parallel computation API

PyCUDA lets you access Nvidia‘s CUDA parallel computation API from Python. Several wrappers of the CUDA API already exist–so what’s so special about PyCUDA?

 * 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.  PyCUDA knows about dependencies, too, so (for example) it won’t
   detach from a context before all memory allocated in it is also freed.
 * Convenience. Abstractions like pycuda.driver.SourceModule and
   pycuda.gpuarray.GPUArray make CUDA programming even more convenient than
   with Nvidia’s C-based runtime.
 * Completeness. PyCUDA puts the full power of CUDA’s driver API at your
   disposal, if you wish.
 * Automatic Error Checking. All CUDA errors are automatically translated
   into Python exceptions.
 * Speed. PyCUDA’s base layer is written in C  , so all the niceties
   above are virtually free.
 * Helpful Documentation.

Інші пакунки пов'язані з python-pycuda

depends

recommends

suggests

enhances

dep: libboost-python1.67.0

Boost.Python Library
dep: libboost-thread1.67.0

portable C multi-threading
dep: libc6 (>= 2.14)

Бібліотека GNU C: спільні бібліотеки
also a virtual package provided by libc6-udeb
dep: libcuda1 (>= 340)

NVIDIA CUDA Driver Library
dep: libcurand9.2

NVIDIA cuRAND Library
dep: libgcc1 (>= 1:3.0)

Допоміжна бібліотека GCC
dep: libstdc 6 (>= 5.2)

Стандартна бібліотека C GNU, версії 3
dep: nvidia-cuda-toolkit

NVIDIA CUDA development toolkit
dep: python

Інтерактивна об'єктно-орієнтована мова високого рівня (гілка 2.x)

dep: python (<< 2.8)

dep: python (>= 2.7~)
dep: python-appdirs (>= 1.4.0)

determining appropriate platform-specific directories (Python 2)
dep: python-decorator (>= 3.2.0)

simplify usage of Python decorators by programmers
dep: python-mako

fast and lightweight templating for the Python platform
dep: python-numpy (>= 1:1.16.0~rc1)

Швидкі методи для роботи з числовими масивами (модуль для Python)
dep: python-numpy-abi9

virtual package provided by python-numpy
dep: python-pytools (>= 2011.5)

big bag of things supplementing Python standard library

rec: python-pycuda-doc

module to access Nvidia‘s CUDA computation API (documentation)

sug: python-matplotlib

Python based plotting system in a style similar to Matlab
sug: python-opengl

Python bindings to OpenGL (Python 2)
sug: python-pycuda-dbg

Python module to access Nvidia‘s CUDA API (debug extensions)
sug: python-pytest

Simple, powerful testing in Python

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amd64	308.2 kB	1,954.0 kB	[список файлів]