Building 1 Million+ Particle Simulations with WebGPU Compute Shaders
Transition from WebGL transform feedback to native WebGPU compute pipelines using WGSL inside Three.js for massive parallel particle physics.
WebGL-based particle systems are bound by CPU-to-GPU memory transfer limits or hacky ping-pong texture techniques. WebGPU introduces dedicated Compute Shaders, allowing arbitrary data processing directly on GPU execution units.
1. Storage Buffers and WGSL Compute Kernel Design
Define structured GPU Storage Buffers containing position, velocity, and lifespan attributes. Write a WebGPU Shading Language (WGSL) compute kernel to update particle positions using parallel thread groups.
2. Integrating WebGPURenderer in Three.js
Replace the traditional WebGLRenderer with Three.js's native WebGPURenderer. Pass compute node instances into render passes without unbinding GPU buffers between updates.
3. Vector Field and Attractor Physics Engine
Inject 3D curl noise and point attractor math directly inside compute passes to simulate dynamic fluid flow fields across 1,000,000 active particles while keeping CPU usage near 0%.