python-pycuda-dbg 2016.1.2+git20161024-1build1 (amd64 binary) in ubuntu artful
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.
.
This package contains debug extensions build for the Python debug interpreter.
Details
- Package version:
- 2016.1.2+git20161024-1build1
- Status:
- Superseded
- Component:
- multiverse
- Priority:
- Extra
Downloadable files
Package relationships
- Depends on:
- libboost-python1.62.0
- libboost-thread1.62.0
- libc6 (>= 2.14)
- libcuda-5.5-1
- libcurand8.0 (>= 4.0)
- libgcc1 (>= 1:3.0)
- libstdc++6 (>= 5.2)
- python-dbg (<< 2.8)
- python-dbg (>= 2.7~)
- python-dbg (<< 2.8)
- python-dbg (>= 2.7~)
- python-numpy (>= 1:1.10.0~b1)
- python-numpy-abi9
- python-pycuda (= 2016.1.2+git20161024-1build1)