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

python-pycuda için bağlantılar

Debian Kaynakları:

pycuda Kaynak Paketini İndir:

Geliştiriciler:

Dış Kaynaklar:

Ana Sayfa [mathema.tician.de]

Benzer paketler:

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

bağımlılıklar

tavsiye edilen

önerilen

enhances

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]