This repository contains simple and practical CUDA C programs to help beginners and researchers understand the basics of GPU programming with CUDA. This repository shows how CUDA accelerates real-world scientific computations.

• NVIDIA GPU with CUDA support
• CUDA Toolkit installed (e.g., 11.x or later)
• C/C++ compiler (e.g., gcc, g++)

Example :

nvcc 01.Hello_World.cu -o Hello_World
./Hello_World

• Understand CUDA threads, blocks, and grids
• Learn memory hierarchy (global, shared, registers)
• Practice performance optimization with CUDA

💡 Maintainer: Akash Bansode