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

[ Kaynak: pycuda  ]

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.

python-pycuda ile İlgili Diğer Paketler

• dep: libboost-python1.67.0

  Boost.Python Library

• dep: libboost-thread1.67.0

  portable C++ multi-threading

• dep: libc6 (>= 2.14)

  GNU C Library: Shared libraries
  ayrıca şunun tarafından sağlanan bir sanal paket libc6-udeb

• dep: libcuda1 (>= 340)

  NVIDIA CUDA Driver Library

• dep: libcurand9.2

  NVIDIA cuRAND Library

• dep: libgcc1 (>= 1:3.0)

  GCC support library

• dep: libstdc++6 (>= 5.2)

  GNU Standard C++ Library v3

• dep: nvidia-cuda-toolkit

  NVIDIA CUDA development toolkit

• dep: python

  interactive high-level object-oriented language (Python2 version)

  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)

  Numerical Python adds a fast array facility to the Python language

• dep: python-numpy-abi9

  sanal paketi sağlayan 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

python-pycuda indir

Tüm mevcut mimariler için indir

Mimari	Paket Boyutu	Kurulu Boyut	Dosyalar
amd64	308,2 kB	1.954,0 kB	[dosya listesi]