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:
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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
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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:
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
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