Contributing to Awesome GPU Engineering 🧠

First off, thanks for taking the time to contribute! 💪
Your input helps make Awesome GPU Engineering the go-to resource for everyone building, optimizing, or studying GPU systems.

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📋 Contribution Guidelines

Please follow these rules to keep the list high-quality and consistent.

✅ What to Add

We welcome:

• Books, tutorials, and papers that advance understanding of GPU architecture or programming.
• Open-source libraries, frameworks, or tools for GPU computing.
• Deep technical blog posts or research writeups.
• University courses, lectures, and public slides.
• Benchmarks or visualization tools related to GPU performance.
• Talks or videos that add significant educational value.

We avoid:

• Low-effort YouTube videos, clickbait, or marketing material.
• Redundant or outdated content.
• Personal projects without substantial adoption or documentation.

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🧱 How to Contribute

1. Fork the Repository

Click “Fork” on the top-right corner of this repo and clone your fork locally.

git clone https://github.com/<your-username>/awesome-gpu-engineering.git
cd awesome-gpu-engineering