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.

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

The tools and frameworks used in the bootcamp are as follows:

• NVIDIA HPC SDK
• NVIDIA Nsight™ Systems

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.

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.

For deploying the materials, please refer to the Deployment guide present here

This material originates from the OpenHackathons Github repository. Check out additional materials here.

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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.