WebGPU Compute Readback: MAP_READ, Storage Buffers, and CPU Stalls
Read WebGPU compute results back to the CPU safely with STORAGE | MAP_READ buffers, onSubmittedWorkDone, and mapAsync.
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Mobile & games · #webgpu
WebGPU workgroup shared memory for parallel reduction
Use WebGPU workgroup shared memory to reduce array segments on the GPU, then merge partials. Watch the 16 KB per-workgroup cap.
Pool WebGPU Bind Groups Instead of Rebuilding Them Every Frame
WebGPU forces explicit bind groups and pipeline layouts. Learn how to pool bind group layouts, reuse bind groups across frames, and move validation out of the hot path with a compute-to-render particle example.
Using WebGPU Dynamic Uniform Buffers to Avoid Rebuilding Bind Groups
Dynamic uniform buffers let you bind a single GPUBuffer with variable offsets, avoiding per‑draw bind group recreation. This guide explains the mechanism, shows a concrete example, covers limits, and highlights common pitfalls.
Implementing Parallel Data Processing with WebGPU Compute Shaders
Learn how to implement parallel data processing in WebGPU using compute shaders, WGSL, and storage buffers to offload heavy calculations from the CPU to the GPU.
WebGPU compute passes: a practical alternative to WebGL2 GPGPU
Replace WebGL2 fragment-shader workarounds with WebGPU GPUComputePass for general GPU work, with feature checks and WGSL validation.
Choosing a WebGPU Buffer Upload Path: mappedAtCreation vs writeBuffer vs mapAsync
A decision guide for WebGPU CPU→GPU buffer uploads: when to use mappedAtCreation, writeBuffer, or mapAsync, with a comparison table, trade-off analysis, a ring-buffer implementation for dynamic uniforms, and a runtime validation snippet to confirm zero-copy behavior across browsers.
Parallel Array Processing with WebGPU Storage Buffers
Use WebGPU compute shaders and read-write storage buffers to process arrays on the GPU, then copy results back to JavaScript.
Offload array math to the GPU with WebGPU compute shaders
WebGPU compute shaders move parallel data work off the browser's main thread, but the explicit setup demands care. Here's how to decide if it's worth it.