Welcome to the webgpu-compute-exploration repository! This application showcases various examples of GPU computing with WebGPU. You can see projects from simple algorithms to complex simulations, all running smoothly in your browser.
Before you dive in, make sure you have the following:
- A Modern Web Browser: Use the latest version of Chrome, Firefox, or Edge.
- Operating System: Works on Windows, macOS, and Linux.
- A Stable Internet Connection: Required to download the application and run examples.
This tool provides a variety of interactive examples, including:
- Basic parallel operations
- Advanced simulations like SPH fluids and 3D fractals
- Dynamic simulations for molecular dynamics and boids flocking
- Easy integration with Rust and WebAssembly for more power
- All examples utilize GPU acceleration for better performance
To get started with the application, visit this page to download: Releases Page.
On the Releases page, you will find multiple versions of the application. Locate the latest version, and download the appropriate file for your system. Follow these steps:
- Open the Releases Page.
- Look for the version number with the latest release.
- Click on the link for your operating system.
- Save the file to your computer.
After downloading, follow these steps to run the application:
- Navigate to the location where you saved the downloaded file.
- Double-click the file to open it. A browser window should appear automatically.
- Explore the interactive examples available in the application.
The application contains ten interesting examples. Hereβs a brief list:
- Basic Parallel Operations: Understand how parallel computing works.
- SPH Fluids: Simulate fluid dynamics in real-time.
- 3D Fractals: Visualize complex fractal shapes generated in 3D space.
- Molecular Dynamics: Observe how particles behave over time.
- DLA (Diffusion-Limited Aggregation): Create beautiful patterns through simple rules.
- Boids Flocking: See how simple rules can create complex flocking behaviors.
- Other advanced simulations relevant to scientific computing.
For users interested in deeper integration, the application also supports Rust and WebAssembly. This allows developers to create high-performance applications that run in the browser.
If you face issues or have questions, you are not alone. Join our community for support:
- Visit the GitHub Issues page for troubleshooting.
- Join the discussions to learn from others or share your experiences.
The webgpu-compute-exploration is open-source software licensed under the MIT License. You can use, modify, and distribute the software freely.
We welcome contributions! If you find bugs, want to add features, or simply wish to improve the application, please consider contributing:
- Fork the repository.
- Make your changes.
- Submit a pull request for review.
Thanks to all the contributors and developers in the community for making GPU computing accessible to everyone. Your hard work and dedication keep this project alive.
Explore the power of GPU computing today!