python-pycuda-dbg 2017.1.1-2 (amd64 binary) in ubuntu bionic
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:
- 2017.1.1-2
- Status:
- Published
- Component:
- multiverse
- Priority:
- Extra
Downloadable files
- python-pycuda-dbg_2017.1.1-2_amd64.deb (5.2 MiB)
Package relationships
- Depends on: