Welcome to the gpu-perf-engineering-resources repository. This curriculum helps you learn about GPU performance engineering, starting from the basic principles to advanced techniques used in cutting-edge AI labs. Whether you're just beginning or looking to deepen your knowledge, this repository has you covered.
To begin, you will need to download the files from our Releases page. Follow the instructions below to get set up.
- Operating System: Windows 10 or later / macOS Mojave or later / Linux (any modern distribution)
- RAM: Minimum 8GB
- GPU: NVIDIA or AMD card with latest drivers installed
- Disk Space: At least 500MB of free space
Make sure your system meets these requirements before proceeding.
- Visit the Releases page.
- Look for the latest version at the top of the page.
- Click on the appropriate file for your operating system to download it.
- Once the download is complete, locate the downloaded file in your computer’s downloads folder.
- Open or run the file to install the application.
- Step-by-Step Guides: Each module walks you through important concepts.
- Real-World Applications: Learn how top labs utilize performance engineering in AI and machine learning.
- Hands-On Activities: Engage in exercises to apply what you learn.
- Community Support: Join discussions and get help from others in the field.
For additional support and resources:
- Review tutorial videos available on our YouTube channel.
- Join our community forum here for discussions with other learners.
- Check out the recommended readings section for further exploration.
Always choose the latest version at the top of the Releases page. It includes the most up-to-date content and features.
The curriculum is compatible with Windows, macOS, and popular Linux distributions. Ensure you meet the system requirements.
If you encounter problems, check the troubleshooting section of our community forum or contact support.
If you run into issues while using the application:
- Make sure your GPU drivers are updated.
- Check if you have the necessary permissions to run the application.
- Consult the FAQ section or community forum for common solutions.
For any questions or additional support, feel free to reach out via the Issues page on GitHub or directly through our contact email provided on the repository homepage.
We welcome contributions! If you would like to help enhance the curriculum, feel free to fork the repository and submit a pull request.
Stay informed about new features or updates by following our repository. You can also check back frequently at the Releases page for the latest versions.
Thank you for your interest in gpu-perf-engineering-resources. We hope this curriculum helps you succeed in your journey to understand GPU performance engineering. Happy learning!