cuda-tutorial

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A set of hands-on tutorials for CUDA programming

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최종 버전 다운로드 (.zip)

- - tutorial01
  - tutorial02
- index.md
- jcsse2018-cuda-tutorial.pdf
- - vector_add.cu
- index.md
- README.md
- vector_add.c
- - vector_add_grid.cu
  - vector_add_thread.cu
- 01_parallel_thread.png
- 02_parallel_block.png
- index.md
- README.md
- vector_add.cu
.gitignore
mkdocs.yml
README.md

// repository documentation

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# CUDA Tutorial

This repository contains a hands-on tutorial for programming CUDA.

* [Online Reference Version](https://cuda-tutorial.readthedocs.io/en/latest/?badge=latest)

## Getting Started

These instructions will get you a copy of the tutorial up and running on your CUDA-capable machine.

### Prerequisites

We expect you to have access to CUDA-enabled GPUs (see. [here](https://developer.nvidia.com/cuda-gpus)) and have sufficient C/C++ programming knowledge.

Following softwares are required for compiling the tutorials

* [CUDA Toolkit](https://developer.nvidia.com/cuda-downloads)
* gcc (See. [here](https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html) for a list of supported compilers.)

### Installing

```bash
$> git clone https://github.com/puttsk/cuda-tutorial.git
$> cd cuda-tutorial
```

## Contributing

TBD

## Authors

* **Putt Sakdhnagool** - *Initial work*

See also the list of [contributors](https://github.com/puttsk/cuda-tutorial/graphs/contributors) who participated in this project.

## Issues / Feature request

You can submit bug / issues / feature request using [Tracker](https://github.com/puttsk/cuda-tutorial/issues).

## License

TBD

## Acknowledgments

* [Tutorial 1](./tutorial01/) and [2](./tutorial02/) are adopted from [An Even Easier Introduction to CUDA](https://devblogs.nvidia.com/even-easier-introduction-cuda/) by Mark Harris, NVIDIA and [CUDA C/C++ Basics](http://www.int.washington.edu/PROGRAMS/12-2c/week3/clark_01.pdf) by Cyril Zeller, NVIDIA.

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