WebGPU rendering pipeline

The WebGPU path runs frustum culling and importance sampling on the GPU, eliminating the CPU-side loop that the WebGL path requires.

Pipeline stages

1. CPU-to-GPU upload

Every throttle tick, the CPU ring buffer copies its contents into a GPU storage buffer flagged STORAGE | COPY_DST. This is a full-ring upload — O(N) CPU work per tick where N is the current buffer fill. It's the main cost of the WebGPU path and the planned optimization for a future incremental upload path.

2. Compute pass

A WGSL compute shader reads all uploaded points and produces a compacted output buffer:

@compute @workgroup_size(256)
fn cull_and_compact(@builtin(global_invocation_id) id: vec3<u32>) {
  let index = id.x;
  if (index >= uniforms.pointCount) { return; }

  let pos = positions[index];

  // 6-plane frustum test
  if (!passes_frustum(pos, uniforms.frustumPlanes)) { return; }

  // Temporal window filter (when timeWindowMs > 0)
  if (uniforms.timeWindowMs > 0u) {
    let age = uniforms.currentTime - timestamps[index];
    if (age > uniforms.timeWindowMs) { return; }
  }

  // Importance sampling (when enabled)
  if (uniforms.importanceSamplingEnabled == 1u) {
    let hash = pcg_hash(index, uniforms.frameSeed);
    if (f32(hash) / 4294967295.0 > importances[index]) { return; }
  }

  // Atomically append to output buffer
  let out = atomicAdd(&drawIndirectArgs.vertexCount, 1u);
  compacted[out] = index;
}

The compute shader:

• Reads positions, timestamps, and importance values from storage buffers.
• Applies frustum, temporal window, and importance tests.
• Uses atomicAdd to append surviving point indices to a compacted index buffer.
• Writes the surviving point count directly into the drawIndirect arguments buffer.

3. Draw pass

drawIndirect draws from the compacted buffer using the count that the compute shader wrote. The CPU never needs to know how many points survived. There's no BufferAttribute.needsUpdate, no CPU readback, and no draw call preparation on the frame path.

Double buffering

Two sets of position and attribute storage buffers alternate each tick: one is being written by the CPU (upload) while the other is being read by the GPU (compute + draw). This ensures ingest and rendering never contend on the same memory.

Support matrix

Browser	Status
Chrome 113+	Full WebGPU support
Edge 113+	Full WebGPU support
Firefox	No WebGPU — uses WebGL fallback
Safari 18+	Experimental WebGPU — uses WebGL fallback by default
Node.js / jsdom	No navigator.gpu — uses WebGL fallback

Known limitations

Full-ring upload per tick: The current upload path copies all N positions on every tick even when few points changed. Worker-to-GPU incremental upload (only new chunks since the last tick) is the planned fix and would reduce upload cost proportionally to ingest rate.

maxStorageBufferBindingSize: GPU devices cap the size of storage buffers, typically at 128–512 MB. PointFlow checks this at initialization and silently caps maxPoints if the requested size would exceed the device limit. Use onRendererResolved and the active policy to see the effective budget.

WebGL fallback

The WebGL path achieves the same visible output through CPU-side operations:

1. copyToTypedArrays iterates the ring buffer, applies the frustum predicate, applies LOD stride, and writes into pre-allocated Float32Array position and color buffers.
2. These buffers upload to BufferGeometry attributes with needsUpdate = true.
3. drawArrays draws from the uploaded attributes.

The cost is higher because the frustum loop runs on the main thread. But the result is correct and it works on every browser including Firefox and older Safari.