Algorithmic Intelligence
High-performance visualization suite for complex mathematical algorithms, cellular automata, and chaotic systems.
Key Features
- Real-time Chaos Theory simulation
- Cellular Automata (Game of Life, Langton's Ant)
- Fractal generation (Mandelbrot, Julia sets)
- Pathfinding algorithms on dynamic terrain
- 3D Vector field visualization
- Interactive parameter tuning
Challenge
Achieving 60fps performance for computationally intensive simulations in the browser.
Solution
Leveraged WebAssembly (WASM) for core logic and WebGL for hardware-accelerated rendering, bypassing the JavaScript main thread.
Technical Architecture
Frontend
React for UI controls. Custom WebGL engine for rendering. Rust compiled to WASM for simulation logic.
Backend
Minimal static serving. State serialization for saving/sharing simulation configurations.
Database
Local storage for user preferences and custom presets.
Deployment
Static site on Vercel with WASM MIME type configuration.
Development Process
Methodology
Performance-driven development with continuous profiling.
Timeline
3 months: 1 month Rust engine development, 1 month WebGL integration, 1 month UI and optimization.
Team
Solo project.
Tools
Rust, wasm-bindgen, WebGL debugging tools, Chrome Performance Profiler.
Performance & Analytics
Key Metrics
Simulating 1M+ particles at 60fps.
Optimization
Zero-copy memory sharing between WASM and JS, instanced rendering, compute shaders.
Results
N/A - Focused on raw performance.
Lessons Learned
- Mastered Rust ownership model and WASM integration
- Deepened understanding of low-level graphics programming
- Learned optimization techniques for numerical computing in JS
Future Enhancements
- Add compute shader support for GPU-based simulation
- Implement VR/AR visualization mode
- Add export to video feature