WebGPU Backend with Data Visualization

This project serves as the backend for a WebGPU application. It's designed to process user input, simulate it with WebGPU, and then send the results to the frontend to be visualized using Three.js for 3D bar chart representation.

Getting Started

Prerequisites

• Node.js
• npm
• SQLite (integrated)

Installation

1. Clone the repository:

   git clone https://github.com/djpapzin/webgpu-backend.git

2. Navigate to the project directory:

   cd webgpu-backend

3. Install the required packages:

   npm install

Running the Server

To start the server, run:

node server.js

The server will start, and you should see a message indicating it's running on http://localhost:3000.

Usage

1. Visit http://localhost:3000/input.html to input data.
2. Submit the data, which will be processed and stored in the SQLite database.
3. Visit http://localhost:3000/index.html to view the visualized data in a 3D bar chart.

API Endpoints

• POST /process-data: Accepts user input for processing and stores it in the SQLite database.
• GET /get-data: Returns the processed data from the SQLite database to be visualized on the frontend.

Future Work

• Integrate WebGPU for data processing.
• Enhance the API for more complex simulations.
• Implement error handling and validation for user input.
• Extend visualization capabilities, including 3D visualization options.

Database

The project uses SQLite for data storage. This provides a lightweight solution for storing and retrieving user input data.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

License

This project is licensed under the ISC License.