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nways_accelerated_programming

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N-Ways to GPU Programming Bootcamp

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# N-ways to GPU programming
The N-Ways to GPU Programming Bootcamp covers the basics of GPU programming and provides an overview of different methods for porting scientific application to GPUs using NVIDIA® CUDA®, OpenACC, standard languages, OpenMP offloading, and/or CuPy and Numba. Throughout the bootcamp, attendees with learn how to analyze GPU-enabled applications using NVIDIA Nsight™ Systems and participate in hands-on activities to apply these learned skills to real-world problems.

## Bootcamp contents:

The content is structured in multiple options covering the following:

- Option 1: N-Ways to GPU Programming-C-Fortran
  - NVIDIA® Nsight™ Systems
  - NVIDIA® Nsight™ Compute (Optional, lecture only)
  - Lab 1: ISO C++ and ISO Fortran
  - Lab 2: OpenACC
  - Lab 3: OpenMP offloading
  - Lab 4: CUDA
  - Lab 5: Memory Coherent Architectures

- Option 2: N-Ways to GPU Programming-Python
  - NVIDIA® Nsight™ Systems
  - NVIDIA® Nsight™ Compute (Optional, lecture only)
  - Lab 1: CuPy
  - Lab 2: Numba

## Tools and frameworks:

The tools and frameworks used in the bootcamp are as follows:
- [NVIDIA HPC SDK](https://developer.nvidia.com/hpc-sdk)
- [NVIDIA Nsight™ Systems](https://developer.nvidia.com/nsight-systems)

## Bootcamp duration:

The N-Ways to GPU Programming-C-Fortran Bootcamp will take approximately 6 hours and the N-Ways to GPU Programming-Python Bootcamp will take approximately 4.5 hours.

## Bootcamp prerequisites:

Basic experience with C/C++ or Fortran is needed for the "N-Ways to GPU Programming-C-Fortran" Bootcamp and Python is needed for the "N-Ways to GPU Programming-Python" Bootcamp. No GPU programming experience is required.

## Deploying the Bootcamp materials:

For deploying the materials, please refer to the Deployment guide present [here](Deployment_Guide.md)

## Attribution

This material originates from the OpenHackathons Github repository. Check out additional materials [here](https://github.com/openhackathons-org).

Don't forget to check out additional [Open Hackathons Resources](https://www.openhackathons.org/s/technical-resources) and join our [OpenACC and Hackathons Slack Channel](https://www.openacc.org/community#slack) to share your experience and get more help from the community.

## Licensing

Copyright © 2023 OpenACC-Standard.org. This material is released by OpenACC-Standard.org, in collaboration with NVIDIA Corporation, under the Creative Commons Attribution 4.0 International (CC BY 4.0). These materials may include references to hardware and software developed by other entities; all applicable licensing and copyrights apply.

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