Welcome to the HPC Cheatsheet repository, a collection of resources for installing and using various artificial intelligence frameworks on HPC systems. Our goal is to provide step-by-step guides that cover all possible scenarios, as well as open up the repository for collaboration, editing and sharing.
Our installation guides are designed to walk you through the process of installing various AI frameworks on your HPC system, including TensorFlow, PyTorch, and MXNet. We have provided detailed instructions for different operating systems and HPC architectures, and we aim to make the process as user-friendly as possible.
Our usage guides cover how to use the installed AI frameworks on your HPC system, including how to run sample programs and how to tune your model to optimize performance. We also provide tips and tricks for troubleshooting common problems you may encounter during the usage of these frameworks.
We welcome contributions from anyone interested in helping to improve this repository. If you find an error in one of our guides or have suggestions for new guides, please open an issue or submit a pull request. We also welcome translations of our guides into different languages.
Please see our contribution guidelines for more information on how to contribute.
This repository is licensed under the MIT License.