This repository showcases my journey learning and experimenting with CUDA, primarily using C/C++. Inside, you'll find code examples, insights, and optimizations related to various CUDA concepts. Each directory focuses on a specific topic, with extensively commented code to guide understanding.

This repo contains:

• Practical Examples: Hands-on CUDA code for common operations.
• Optimizations: Explores different optimization techniques to improve performance.
• Well-Commented Code: Every line is explained, making it easy to follow along.
• Learning Resource: A place to learn from and improve your own CUDA skills.

• softmax/: Explores various softmax implementations, from naive to optimized.
• matmul/: Demonstrates matrix multiplication with tiling strategies.
• matvec/: Iteratively optimizes matrix-vector multiplication (SGEMV) to achieve cuBLAS-like performance.
• query-device/: A simple tool to get device information of GPU.
• flash-attention/: Exploration of flash attention algorithms (Work in progress).

1. Clone the repository:

 git clone https://github.com/Maharshi-Pandya/cudacodes.git

2. Navigate to the directory of interest (e.g., cd matmul)
3. Check the README.md inside the directory to learn how to compile and run the examples.