Edge Rendering System

Advanced distributed rendering system with GPU-accelerated processing, real-time compositing, and Web Workers for parallel computation. Demonstrates expertise in complex systems, real-time graphics, and creative technology.

🚀 Features

• WebGL & WebGPU Rendering: Custom shader pipeline with real-time compilation
• Distributed Processing: Multi-threaded rendering using Web Workers
• Real-time Performance: Adaptive quality scaling and live performance monitoring
• Interactive Demo: Live controls for scene complexity, lighting, and particle systems
• Advanced Graphics: Particle systems, deferred shading, and post-processing effects
• Antifragile Design: System improves performance under load

🎯 Live Demo

Try the Interactive Demo

The demo showcases:

• Real-time 3D rendering with 1M+ triangles
• GPU-accelerated particle systems (10K+ particles)
• Dynamic lighting and shadow mapping
• Live performance metrics and optimization
• Interactive controls for scene complexity

🛠️ Technical Stack

• WebGL 2.0 / WebGPU for GPU acceleration
• Web Workers for distributed computation
• Custom Shader Programming (GLSL/WGSL)
• Real-time Geometry Generation and optimization
• Performance Profiling and adaptive scaling

📁 Project Structure

edge-rendering/
├── edge-rendering.html          # Main demonstration page
├── edge-rendering.js            # WebGL rendering engine
├── edge-renderer-worker.js      # Web Worker for distributed processing
├── webgpu-edge-renderer.js      # Advanced WebGPU implementation
├── README.md                    # This file
└── package.json                 # Dependencies and scripts

🚀 Quick Start

Option 1: Direct File Access

# Clone the repository
git clone https://github.com/Milesy1/edge-rendering.git
cd edge-rendering

# Open the demo
open edge-rendering.html

Option 2: Local Web Server (Recommended)

# Using Python
python -m http.server 8000

# Using Node.js
npx serve .

# Using PHP
php -S localhost:8000

Then visit http://localhost:8000/edge-rendering.html

🎮 Interactive Controls

The demo includes real-time controls for:

• Scene Complexity: 1K to 1M triangles
• Lighting Quality: Basic to Ultra
• Post-Processing: None to Cinematic
• Particle Count: 0 to 10,000 particles
• Performance Metrics: Live FPS, triangle count, memory usage

🏗️ Architecture

Distributed Rendering Pipeline

graph TD
    A[Main Thread] --> B[Web Workers]
    B --> C[Geometry Processing]
    B --> D[Particle Simulation]
    B --> E[Lighting Calculations]
    C --> F[GPU Rendering]
    D --> F
    E --> F
    F --> G[Real-time Display]

Loading

Performance Optimization

• Frustum Culling: Automatic triangle culling
• Instanced Rendering: Efficient repeated geometry
• Adaptive Quality: Dynamic LOD based on performance
• Memory Pooling: Efficient buffer management
• Parallel Processing: Multi-threaded computation

🎨 Shader Examples

Vertex Shader (WebGL)

attribute vec3 position;
attribute vec3 normal;
uniform mat4 modelViewMatrix;
uniform mat4 projectionMatrix;

varying vec3 vNormal;
varying vec3 vWorldPos;

void main() {
    vec4 worldPos = modelViewMatrix * vec4(position, 1.0);
    gl_Position = projectionMatrix * worldPos;
    
    vNormal = normalize(normalMatrix * normal);
    vWorldPos = worldPos.xyz;
}

Compute Shader (WebGPU)

@compute @workgroup_size(64)
fn cs_main(@builtin(global_invocation_id) globalId: vec3<u32>) {
    let index = globalId.x;
    if (index >= arrayLength(&particles)) {
        return;
    }
    
    var particle = particles[index];
    particle.position = particle.position + particle.velocity * uniforms.deltaTime;
    particle.velocity = particle.velocity + uniforms.gravity * uniforms.deltaTime;
    
    particles[index] = particle;
}

📊 Performance Metrics

The system provides real-time monitoring of:

• FPS: Frames per second
• Triangles: Rendered triangle count
• Draw Calls: GPU draw operations
• Memory Usage: GPU memory consumption
• Worker Performance: Web Worker utilization

🔧 Browser Compatibility

Feature	Chrome	Firefox	Safari	Edge
WebGL 2.0	✅	✅	✅	✅
Web Workers	✅	✅	✅	✅
WebGPU	✅	❌	❌	✅

🎯 Use Cases

• Creative Technology: Interactive installations and live performances
• Real-time Visualization: Data visualization and scientific computing
• Game Development: Browser-based games and simulations
• Educational: Learning graphics programming and WebGL
• Research: Performance testing and optimization studies

🏆 Complex Systems Integration

This project demonstrates antifragile design principles:

• Redundancy: Multiple rendering paths and fallbacks
• Optionality: Benefits from increased complexity and load
• Overcompensation: Adaptive responses exceed requirements
• Hormesis: Small stresses strengthen system resilience
• Via Negativa: Removing fragilities rather than adding complexity

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Development Setup

git clone https://github.com/Milesy1/edge-rendering.git
cd edge-rendering
npm install  # If using package.json

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🔗 Related Projects

• Miles Waite Portfolio - Main portfolio showcasing complex systems expertise
• Audio Reactive Abstract Geometry - TouchDesigner and Python visualizations
• Systems Architecture - Large-scale real-time systems

👨‍💻 Author

Miles Waite

• Certified by the Santa Fe Institute of Complex Science
• 20+ years experience in real-time complex systems
• Expertise in TouchDesigner, Python, and creative technology
• Portfolio | GitHub | Email

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