[ 源代码: pycuda ]
软件包: python3-pycuda (2018.1.1-4build2) [multiverse]
python3-pycuda 的相关链接
Ubuntu 的资源:
下载源码包 pycuda:
维护者:
Please consider filing a bug or asking a question via Launchpad before contacting the maintainer directly.
Original Maintainers (usually from Debian):
- Debian NVIDIA Maintainers (Mail Archive)
- Tomasz Rybak
It should generally not be necessary for users to contact the original maintainer.
外部的资源:
- 主页 [mathema.tician.de]
相似软件包:
Python 3 module to access Nvidia‘s CUDA parallel computation API
其他与 python3-pycuda 有关的软件包
|
|
|
|
-
- dep: libboost-python1.71.0
- Boost.Python Library
-
- dep: libboost-python1.71.0-py38
- 本虚包由这些包填实: libboost-python1.71.0
-
- dep: libboost-thread1.71.0
- portable C++ multi-threading
-
- dep: libc6 (>= 2.14)
- GNU C Library: Shared libraries
同时作为一个虚包由这些包填实: libc6-udeb
-
- dep: libcurand10
- NVIDIA cuRAND Library
-
- dep: libgcc-s1 (>= 3.0)
- GCC support library
-
- dep: libnvidia-compute-435
- NVIDIA libcompute package
-
- dep: libstdc++6 (>= 5.2)
- GNU Standard C++ Library v3
-
- dep: nvidia-cuda-toolkit
- NVIDIA CUDA development toolkit
-
- dep: python3
- interactive high-level object-oriented language (default python3 version)
- dep: python3 (<< 3.9)
- dep: python3 (>= 3.8~)
-
- dep: python3-appdirs (>= 1.4.0)
- determining appropriate platform-specific directories (Python 3)
-
- dep: python3-decorator (>= 3.2.0)
- simplify usage of Python decorators by programmers
-
- dep: python3-mako
- fast and lightweight templating for the Python 3 platform
-
- dep: python3-numpy (>= 1:1.16.0~rc1)
- Fast array facility to the Python 3 language
-
- dep: python3-numpy-abi9
- 本虚包由这些包填实: python3-numpy
-
- dep: python3-pytools
- big bag of things supplementing Python 3 standard library
-
- rec: python-pycuda-doc
- module to access Nvidia‘s CUDA computation API (documentation)
-
- sug: python3-matplotlib
- Python based plotting system in a style similar to Matlab (Python 3)
-
- sug: python3-opengl
- Python bindings to OpenGL (Python 3)
-
- sug: python3-pycuda-dbg
- Python 3 module to access Nvidia‘s CUDA API (debug extensions)
-
- sug: python3-pytest
- Simple, powerful testing in Python3