CUDA-Examples

This repository contains experimental implementations for learning and optimizing GPU programs using CUDA.
All examples are written in C++ with CUDA, focusing on performance analysis and architectural understanding.

Each experiment targets specific aspects of CUDA optimization, such as memory access patterns, warp behavior, and kernel launch strategies.

Goals

• Practice writing and optimizing GPU kernels with CUDA
• Explore real-world performance characteristics (shared memory, warp divergence, etc.)
• Summarize key findings in short blog posts (linked below)

Blog

Brief write-ups are published on my technical blog:
👉 https://yaikeda.github.io/cuda-examples-blog/

Environment

• CUDA Toolkit: 12.6
• Platform: Windows + Power Shell
• Visual Studio: 2022 (not use IDE but cl.exe)

💡 Note: This repo is primarily for learning and experimentation.

If you're a student, a tinkerer, or just curious — please feel free to explore, learn, and reach out! 🚀

📜 License

This project is licensed under MIT.