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Cosmin Ciocan
59 lines
2.0 KiB
Markdown
59 lines
2.0 KiB
Markdown
# nvcc4jupyter: CUDA C++ plugin for Jupyter Notebook
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| Testing | ![Python Versions][python-version] [![CI - Test][test-badge]][test-workflow] [![Coverage][coverage-badge]][coverage-results] |
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| Package | [![PyPI Latest Release][pypi-latest-version]][pypi-project-url] [![PyPI Downloads][pypi-downloads]][pypi-project-url] |
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[python-version]: https://img.shields.io/pypi/pyversions/nvcc4jupyter
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[test-badge]: https://github.com/cosminc98/nvcc4jupyter/actions/workflows/test.yml/badge.svg
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[test-workflow]: https://github.com/cosminc98/nvcc4jupyter/actions/workflows/test.yml
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[coverage-badge]: https://codecov.io/github/cosminc98/nvcc4jupyter/coverage.svg?branch=master
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[coverage-results]: https://codecov.io/gh/cosminc98/nvcc4jupyter
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[pypi-project-url]: https://pypi.org/project/nvcc4jupyter/
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[pypi-latest-version]: https://img.shields.io/pypi/v/nvcc4jupyter.svg
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[pypi-downloads]: https://img.shields.io/pypi/dm/nvcc4jupyter.svg?label=PyPI%20downloads
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**nvcc4jupyter** is a Jupyter Notebook plugin that provides cell and line
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[magics](https://ipython.readthedocs.io/en/stable/interactive/magics.html)
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to allow running CUDA C++ code from a notebook. This is especially
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useful when combined with a hosted service such a Google's
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[Colab](https://colab.research.google.com/) which provide CUDA capable GPUs
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and you can start learning CUDA C++ without having to install anything or even
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to own a GPU yourself.
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## Table of Contents
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- [Main Features](#main-features)
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- [Install](#install)
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- [Usage](#usage)
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- [License](#license)
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- [Documentation](#documentation)
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## Main Features
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Here are just a few of the things that nvcc4jupyter does well:
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- TODO1
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- TODO2
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## Install
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The installer for the latest released version is available at the [Python
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Package Index (PyPI)](https://pypi.org/project/nvcc4jupyter).
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```sh
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pip install nvcc4jupyter
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```
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## Usage
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TODO
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## Documentation
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The official documentation is hosted on [TODO](TODO).
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## License
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[TODO](LICENSE)
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<hr>
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[Go to Top](#table-of-contents)
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