mirror of
https://github.com/andreinechaev/nvcc4jupyter.git
synced 2026-06-13 18:50:47 +05:30
Cosmin Ciocan
81 lines
2.8 KiB
Markdown
81 lines
2.8 KiB
Markdown
# nvcc4jupyter: CUDA C++ plugin for Jupyter Notebook
|
|
|
|
| | |
|
|
| --- | --- |
|
|
| Testing | ![Python Versions][python-version] [![CI - Test][test-badge]][test-workflow] [![Coverage][coverage-badge]][coverage-results] |
|
|
| Package | [![PyPI Latest Release][pypi-latest-version]][pypi-project-url] [![PyPI Downloads][pypi-downloads]][pypi-project-url] |
|
|
|
|
[python-version]: https://img.shields.io/pypi/pyversions/nvcc4jupyter
|
|
[test-badge]: https://github.com/cosminc98/nvcc4jupyter/actions/workflows/test.yml/badge.svg
|
|
[test-workflow]: https://github.com/cosminc98/nvcc4jupyter/actions/workflows/test.yml
|
|
[coverage-badge]: https://codecov.io/github/cosminc98/nvcc4jupyter/coverage.svg?branch=master
|
|
[coverage-results]: https://codecov.io/gh/cosminc98/nvcc4jupyter
|
|
[pypi-project-url]: https://pypi.org/project/nvcc4jupyter/
|
|
[pypi-latest-version]: https://img.shields.io/pypi/v/nvcc4jupyter.svg
|
|
[pypi-downloads]: https://img.shields.io/pypi/dm/nvcc4jupyter.svg?label=PyPI%20downloads
|
|
|
|
**nvcc4jupyter** is a Jupyter Notebook plugin that provides cell and line
|
|
[magics](https://ipython.readthedocs.io/en/stable/interactive/magics.html)
|
|
to allow running CUDA C++ code from a notebook. This is especially
|
|
useful when combined with a hosted service such a Google's
|
|
[Colab](https://colab.research.google.com/) which provide CUDA capable GPUs
|
|
and you can start learning CUDA C++ without having to install anything or even
|
|
to own a GPU yourself.
|
|
|
|
## Table of Contents
|
|
|
|
- [Main Features](#main-features)
|
|
- [Install](#install)
|
|
- [Usage](#usage)
|
|
- [License](#license)
|
|
- [Documentation](#documentation)
|
|
|
|
## Main Features
|
|
Here are just a few of the things that nvcc4jupyter does well:
|
|
|
|
- [Easily run CUDA C++ code](https://nvcc4jupyter.readthedocs.io/en/latest/usage.html#hello-world)
|
|
- [Profile your code with NVIDIA Nsight Compute](https://nvcc4jupyter.readthedocs.io/en/latest/usage.html#profiling)
|
|
- [Share code between different programs in the same notebook / split your code into multiple files for improved readability](https://nvcc4jupyter.readthedocs.io/en/latest/usage.html#groups)
|
|
|
|
## Install
|
|
The installer for the latest released version is available at the [Python
|
|
Package Index (PyPI)](https://pypi.org/project/nvcc4jupyter).
|
|
|
|
```sh
|
|
pip install nvcc4jupyter
|
|
```
|
|
|
|
## Usage
|
|
|
|
First, load the extension to enable the magic commands:
|
|
```
|
|
%load_ext nvcc4jupyter
|
|
```
|
|
|
|
Running a quick CUDA Hello World program:
|
|
```c++
|
|
%%cuda
|
|
#include <stdio.h>
|
|
|
|
__global__ void hello(){
|
|
printf("Hello from block: %u, thread: %u\n", blockIdx.x, threadIdx.x);
|
|
}
|
|
|
|
int main(){
|
|
hello<<<2, 2>>>();
|
|
cudaDeviceSynchronize();
|
|
}
|
|
```
|
|
|
|
For more advanced use cases, see [the documentation](https://nvcc4jupyter.readthedocs.io/en/latest/usage.html).
|
|
|
|
## Documentation
|
|
The official documentation is hosted on [readthedocs](https://nvcc4jupyter.readthedocs.io/).
|
|
|
|
## License
|
|
[MIT](LICENSE)
|
|
|
|
<hr>
|
|
|
|
[Go to Top](#table-of-contents)
|