[ Source: pycuda ]
Пакунок: python3-pycuda (2018.1.1-3) [contrib]
Links for python3-pycuda
Debian Resources:
Download Source Package pycuda:
Maintainers:
External Resources:
- Homepage [mathema.tician.de]
Similar packages:
Python 3 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.
This package contains Python 3 modules.
Інші пакунки пов'язані з python3-pycuda
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- dep: libboost-python1.67.0
- Boost.Python Library
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- dep: libboost-thread1.67.0
- portable C multi-threading
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- dep: libc6 (>= 2.14)
- Бібліотека GNU C: спільні бібліотеки
also a virtual package provided by libc6-udeb
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- dep: libcuda1 (>= 340)
- NVIDIA CUDA Driver Library
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- dep: libcurand9.2
- NVIDIA cuRAND Library
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- dep: libgcc1 (>= 1:3.0)
- Допоміжна бібліотека GCC
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- dep: libstdc 6 (>= 5.2)
- Стандартна бібліотека C GNU, версії 3
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- dep: nvidia-cuda-toolkit
- NVIDIA CUDA development toolkit
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- dep: python3
- Інтерактивна об'єктно-орієнтована мова високого рівня (типова версія „python3“)
- dep: python3 (<< 3.8)
- dep: python3 (>= 3.7~)
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- dep: python3-appdirs (>= 1.4.0)
- determining appropriate platform-specific directories (Python 3)
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- dep: python3-decorator (>= 3.2.0)
- simplify usage of Python decorators by programmers
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- dep: python3-mako
- fast and lightweight templating for the Python 3 platform
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- dep: python3-numpy (>= 1:1.16.0~rc1)
- Швидкі методи для роботи з числовими масивами для мови Python 3
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- dep: python3-numpy-abi9
- virtual package provided by python3-numpy
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- dep: python3-pytools
- big bag of things supplementing Python 3 standard library
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- rec: python-pycuda-doc
- module to access Nvidia‘s CUDA computation API (documentation)
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- sug: python3-matplotlib
- Python based plotting system in a style similar to Matlab (Python 3)
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- sug: python3-opengl
- Python bindings to OpenGL (Python 3)
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- sug: python3-pycuda-dbg
- Python 3 module to access Nvidia‘s CUDA API (debug extensions)
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- sug: python3-pytest
- Simple, powerful testing in Python3
Завантажити python3-pycuda
Архітектура | Розмір пакунка | Розмір після встановлення | Файли |
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amd64 | 307.4 kB | 1,947.0 kB | [список файлів] |