#  GPUBootcamp Official Training Materials
This repository consists of GPU bootcamp material for HPC, AI and convergence of both:

- [AI](https://github.com/gpuhackathons-org/gpubootcamp/tree/master/ai)

- [HPC](https://github.com/gpuhackathons-org/gpubootcamp/tree/master/hpc)

- [Convergence of HPC and AI](https://github.com/gpuhackathons-org/gpubootcamp/tree/master/hpc_ai)

# System Requirements
Each lab contains docker and singularity definition files. Follow the readme files inside each on how to build the container and run the labs inside it.

# Contribution
- The repository uses Apache 2.0 license. For more details on folder structure developers may refer to CONTRIBUTING.md file.
- A project template for reference is located at [Template](https://github.com/bharatk-parallel/gpubootcamp-1/tree/nways_md_fortran/misc/jupyter_lab_template/appName)

# Feature Request or filing issues
- Bootcamp users may request for newer training material or file a bug by filing a github issues
- Please do go through the existing list of issues to get more details of upcoming features and bugs currently being fixed [Issues](https://github.com/gpuhackathons-org/gpubootcamp/issues)

<!--# Slides:
The slides associated with these training materials can be downloaded from [Google Slides](https://drive.google.com/drive/folders/1laRYdu6mtSA29M6Xthc1jP8AEOtVnbBo?usp=sharing)-->

## Questions?
Please join [OpenACC Slack Channel](https://openacclang.slack.com/messages/openaccusergroup) for questions.