Skip to main content

Numerical CUDA-based Python library built on CuVec

Project description

Numerical CUDA-based Python library built on top of CuVec.

Version Downloads Py-Versions DOI Licence Tests Coverage

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 numcu

Usage

See the usage documentation.

Contributing

See CONTRIBUTING.md.

Licence

Licence DOI

Copyright:

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

numcu-1.0.6.tar.gz (14.4 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page