python-pycuda 2012.1-1ubuntu1 (i386 binary) in ubuntu quantal
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.
pycuda.
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.
Details
- Package version:
- 2012.1-1ubuntu1
- Status:
- Superseded
- Component:
- multiverse
- Priority:
- Optional
Downloadable files
- python-pycuda_2012.1-1ubuntu1_i386.deb (367.0 KiB)
Package relationships
- Depends on:
- libboost-python1.49.0 (>= 1.49.0-1)
- libboost-thread1.49.0 (>= 1.49.0-1)
- libc6 (>= 2.4)
- libcurand4 (>= 4.0)
- libgcc1 (>= 1:4.1.1)
- libstdc++6 (>= 4.4.0)
- nvidia-cuda-toolkit
- nvidia-current
- python (>= 2.7.1-0ubuntu2)
- python (<< 2.8)
- python-decorator
- python-numpy (>= 1:1.6.1)
- python-numpy-abi9
- python-pycuda-headers (= 2012.1-1ubuntu1)
- python-pytools (>= 2011.5)
- python2.7
- Suggests:
- Recommends: