WebAssembly SIMD 前端高性能计算实践 wasm-loader-Atomics

概览WebAssembly SIMD 能以向量指令提升数值计算效率。结合 Worker 与 Atomics，可在主线程之外并行执行，适合图像处理与数值分析。加载与调用'use client' async function loadWasm(url: string) { const res = await fetch(url) const buf = await res.arrayBuffer() const mod = await WebAssembly.instantiate(buf, {}) return mod.instance.exports as any } export async function run() { const wasm = await loadWasm('/simd.wasm') const a = new Float32Array([1,2,3,4]) const ptr = wasm.alloc(a.length * 4) const mem = new Float32Array(wasm.memory.buffer, ptr, a.length) mem.set(a) wasm.vec_add(ptr, a.length) return Array.from(mem) } Worker 并行const sab = new SharedArrayBuffer(4 * 1024) const view = new Int32Array(sab) const worker = new Worker('/simd-worker.js') worker.postMessage({ sab }) Atomics.wait(view, 0, 0) simd-worker.jsself.onmessage = async (e) => { const view = new Int32Array(e.data.sab) view[0] = 1 Atomics.notify(view, 0) } 治理要点使用跨源隔离与 CSP 保障模块与并行安全。将内存交互封装为函数，避免越界与泄漏。为不支持 SIMD 的环境提供回退路径。验证与指标浏览器：Chrome 120+、Edge 120+；Safari/Firefox SIMD 支持逐步完善在图像与数值场景性能提升显著；主线程阻塞降低