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Mobile & games · #webgpu
Learn how to identify and fix silent stalls in WebGPU compute pipelines caused by incorrect buffer usage, missing synchronization, and platform-specific limits.
PixiJS v8 offers WebGPU and WebGL backends. Here's how to choose a preference, what the real trade-offs are, and a concrete auto-detection setup with runtime validation.
PixiJS batches sprites sharing a base texture into single draw calls. Texture atlases and v8 RenderGroups let you structure scenes so the GPU draws instead of switches. A reproducible 2,000-sprite starfield shows the difference.
Deciding between storage and uniform buffers in WebGPU compute shaders comes down to write access, size limits, and access patterns. This guide compares both and shows a validated read-write example.
WebGPU compute shaders let you launch thousands of GPU threads from the browser. This guide explains how to dispatch workgroups, pick a portable workgroup size, set up storage buffers, and read back results with a working example that doubles a Float32Array.
Pick a WebGPU color-attachment format the supported way: use getPreferredCanvasFormat(), understand what the -srgb variants actually do, and verify with a known-color read-back test.
Diagnose and fix jitter in WebGPU timestamp queries. Follow a step‑by‑step check list to ensure monotonic timestamps, proper fences, and correct buffer usage for accurate frame timing.
Decision guide for enabling WebGPU timestamp queries: when it makes sense, how it compares to CPU timing and shader counters, and a safe implementation pattern with validation checks.
Learn how to architect a Babylon.js app that dynamically picks WebGPU or falls back to WebGL, with checks, failure handling, and best practices.
pixijs
javascript
babylonjs