We are working on a comprehensive set of notes that cover the following topics
- Portable GPU Programming
- Parallel and High Performance Computing
- Mathematical Modeling and Algorithm Development
- Working on HPC Clusters
- Programming in C/C++, Fortran, and Python
Scientific Computing (edu) Notes
Slide Decks are licensed under a Creative Commons Attribution 3.0 United States License.
- AMD ROCm Lunch & Learn - You can request access to the slides via this link
Codelabs are licensed under a Creative Commons Attribution 3.0 United States License.
Sample code (under the samples/ directory of this repository) are licensed under the Apache 2.0 License
- Codelab tutorial : Building a GPU accelerated application with OpenMP in Fortran
- Codelab tutorial : Building a GPU accelerated application with OpenMP in C/C++
- Codelab tutorial : Building a GPU accelerated application with HIP in Fortran
- Codelab tutorial : Building a GPU accelerated application with HIP in C/C++