gjbex / Python-on-GPUs

Repository for the training on using GPUs from Python.

Home Page:https://gjbex.github.io/Python-on-GPUs/

Repository from Github https://github.comgjbex/Python-on-GPUsRepository from Github https://github.comgjbex/Python-on-GPUs

Python on GPUs

GitHub repository for participants of the "Python on GPUs" training. For information on the training, see the website https://gjbex.github.io/Python-on-GPUs/

Note: this is work in progress

What is it?

  1. source-code: sample code written to develop the slides and illustrate concepts.
  2. environment.yml: conda environment file intended to be cross-platform.
  3. python_on_gpus_science_linux64_conda_specs.txt: conda environment specification file specific for 64-bit Linux to precisely reproduce the environment on which the code was developed.
  4. License: license information for the material in this repository.
  5. Contributing: information on how to contribute to this repository.
  6. docs: directory containing the website for this repository.

About

Repository for the training on using GPUs from Python.

https://gjbex.github.io/Python-on-GPUs/

License:Creative Commons Attribution 4.0 International


Languages

Language:Jupyter Notebook 100.0%