This repository contains small CUDA programs and experiments I built while learning GPU programming.

🚀 Goal

To explore the CUDA programming model, practice writing parallel algorithms, and better understand GPU performance and memory management.

📦 Contents

• monte_carlo_pi/ — Estimate π using parallel random sampling on the GPU. It uses the CUDA Runtime API with unified memory.

  

🛠 Requirements

• NVIDIA GPU with CUDA support
• CUDA Toolkit installed