🚀 N-Body Simulation with OpenCL

This repository contains an OpenCL-accelerated N-body simulation, which simulates the gravitational interactions between celestial bodies in space. The simulation features 25 small bodies and 1 massive central body, with randomized initial positions, velocities, and colors.

✨ Features

• Uses OpenCL to run computations on the GPU for faster performance.
• Simulates gravity-based motion using Newton’s laws.
• Parallel execution ensures speedup over CPU-based computation.
• Outputs a visual simulation stored as an .mp4 file.
• Displays the first and last frames for quick visualization.

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📜 How It Works

1. Bodies are initialized with random positions, velocities, and masses.
2. The OpenCL kernel computes gravitational forces in parallel.
3. Positions and velocities are updated using Euler’s method.
4. Frames are generated using OpenCV and saved as a video.
5. The simulation runs for 10 seconds, generating a .mp4 output.

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⚡ Performance Comparison

Feature	CPU Version	GPU Version (OpenCL)
Force Computation	Nested loops (slow)	Parallelized on GPU (fast)
Execution Time	Several seconds/minutes	10×–100× faster
Visualization	Matplotlib	OpenCV (efficient)
Scalability	Limited by CPU cores	Can handle thousands of bodies

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🛠️ Requirements

• Python 3.x
• numpy
• pyopencl
• opencv-python
• os (Built-in)
• time (Built-in)

📌 Install Dependencies

Run the following command to install the required packages:

pip install numpy pyopencl opencv-python
git clone https://github.com/your-username/nbody-opencl.git
cd nbody-opencl
python nbody_opencl.py

If you want to run the simlation without opencl, use the command

python cpu_nbody.py