Python wrapper for Nvidia CUDA
Project description
PyCuda lets you access `Nvidia <http://nvidia.com>`_'s `CUDA
<http://nvidia.com/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 <http://en.wikipedia.org/wiki/Resource_Acquisition_Is_Initialization>`_
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 <http://tiker.net/doc/pycuda>`_.
<http://nvidia.com/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 <http://en.wikipedia.org/wiki/Resource_Acquisition_Is_Initialization>`_
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 <http://tiker.net/doc/pycuda>`_.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pycuda-0.91rc2.tar.gz
(61.8 kB
view details)
File details
Details for the file pycuda-0.91rc2.tar.gz.
File metadata
- Download URL: pycuda-0.91rc2.tar.gz
- Upload date:
- Size: 61.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 5600ce3f7c3de4e03900f1758276724610560de7b3cd9377087b5cc821a45963 |
|
| MD5 | 1cceb6abe371f4fbdf58888d2072f0a0 |
|
| BLAKE2b-256 | c17e61f0fd8a8a05140113570e3cbb34e736e5505a8cffe540ccbd396efbebd2 |
