________ __________ __________ ________ ___ _______ ________
/ ____/ / / / _/ __ \/ ____/ __ \ /_ __/ / / / | / / _/ | / / ____/
/ / __/ / / // // / / / __/ / / / /_____/ / / / / / |/ // // |/ / / __
/ /_/ / /_/ // // /_/ / /___/ /_/ /_____/ / / /_/ / /| // // /| / /_/ /
\____/\____/___/_____/_____/_____/ /_/ \____/_/ |_/___/_/ |_/\____/
Guided Tuning (GT), is designed to provide a streamlined and efficient approach to optimize performance of HPC and ML apps. By leveraging a tuned set of high-level performance counters and guided workflows, this project aims to simplify the iterative nature of performance profiling. GT currently supports the following architectures:
- AMD Instinct: MI200, MI300
For more information on available features, installation steps, and workload profiling and analysis, please refer to the online documentation.
To quickly verify that the GT installation is working correctly, you can run the following command:
pytest tests/test_project.py -vvSee install instructions for more information on prerequisites and installation steps.