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# AppName Bootcamp
Explain the content.

If you encounter issues while using the Bootcamp materials, please provide bug reports, feedback or ask questions via [GitHub Issues](https://github.com/gpuhackathons-org/gpubootcamp/issues).

## Prerequisites:

Include what is needed to run this lab on its own. Include the versions of the NVIDIA Driver this was tested on, versions of profiling tools and anything else that is needed. See example below:

To run this tutorial you will need a machine with NVIDIA GPU.

- Install the [Docker](https://docs.docker.com/get-docker/) or [Singularity](https://sylabs.io/docs/]).
- Install Nvidia toolkit, [Nsight Systems (latest version)](https://developer.nvidia.com/nsight-systems) and [compute (latest version)](https://developer.nvidia.com/nsight-compute).

## Creating containers
Instructions on how to create docker and singularity container. Share the steps under its sections.

### Docker 
Steps on how to build the docker container and run it.

### Singularity 
Steps on how to build the singularity container and run it.

## Contributing

Feel free to submit Pull Requests, create Issues or open Discussions.

See [CONTRIBUTING.md](https://github.com/gpuhackathons-org/gpubootcamp/blob/master/CONTRIBUTING.md) for more detailed information on how to contribute to the Bootcamp materials.

## Authors and Acknowledgment

See [Contributors](https://github.com/gpuhackathons-org/gpubootcamp/graphs/contributors) for a list of contributors towards this Bootcamp.

## Known issues
If there are known issues, please list them below and link them to the issue number.