Numerical CUDA-based Python library built on top of CuVec.
Install
Requirements:
Python 3.7 or greater (e.g. via Anaconda or Miniconda, or via python3-dev)
(optional) CUDA SDK/Toolkit (including drivers for an NVIDIA GPU)
note that if the CUDA SDK/Toolkit is installed after NumCu, then NumCu must be re-installed to enable CUDA support
pip install numcuUsage
Contributing
See CONTRIBUTING.md.
Licence
Copyright:
1 maintainer
Metadata
1 maintainer
Release files for numcu 2.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| numcu-2.1.0.tar.gz | 13.5 kB | Details |
Release files / numcu-2.1.0.tar.gz
| Download URL | numcu-2.1.0.tar.gz |
|---|---|
| Size | 13.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
8718f15427e4d82da832ff946f97eb37140b680440b5fcd7a465d8ab853dc26c
|
|
BLAKE2b-256 checksum How to use checksums |
a38f4dd43fa52d03395ec0bd5d5794d1553b0533f105ebc5887d10f6c760032b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.2
|
