chore(brain): ASTRA 성장 자산 동기화 — 기능 인벤토리·growth(약점프로필/학습큐)·일화기억·장기기억·회의록 원문
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id: wiki-2026-0508-cpu-overhead
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title: CPU Overhead
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category: 10_Wiki/Topics
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status: verified
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canonical_id: self
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aliases: [CPU Cost, JS Main Thread Cost]
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duplicate_of: none
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source_trust_level: A
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confidence_score: 0.9
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verification_status: applied
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tags: [performance, cpu, main-thread, profiling]
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raw_sources: []
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last_reinforced: 2026-05-10
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github_commit: pending
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tech_stack:
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language: JavaScript
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framework: Browser/Node
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---
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# CPU Overhead
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## 매 한 줄
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> **"매 main thread 매 free 매 fast UI"**. CPU overhead는 JS execution / parsing / hydration / re-render에 소비되는 main-thread time — 이게 길어지면 INP가 무너지고 user input이 lag한다. 2026 INP가 LCP를 대체한 third Core Web Vital이 되어 CPU profile + scheduling이 frontend 의 first concern.
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## 매 핵심
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### 매 source
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- **Parse + compile**: download된 JS bytes → AST → bytecode (V8 측정 시 KB 당 ~1ms low-end mobile).
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- **Hydration**: SSR HTML 위 React/Vue 매 attach.
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- **Re-render**: state change → diff → DOM commit.
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- **Long task** (>50ms): block input.
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### 매 측정
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- Chrome Performance panel — flame chart, "Long tasks".
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- `PerformanceObserver` API on `longtask`.
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- React Profiler / Vue Devtools timeline.
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- Web Vitals — INP, TBT.
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### 매 응용
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1. JS payload 줄이기 → less parse.
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2. Hydration partial / streaming.
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3. Heavy work → Web Worker / requestIdleCallback / startTransition.
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## 💻 패턴
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### Long task observer
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```ts
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const obs = new PerformanceObserver((list) => {
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for (const entry of list.getEntries()) {
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if (entry.duration > 50) {
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console.warn(`Long task: ${entry.duration.toFixed(0)}ms`, entry);
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}
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}
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});
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obs.observe({ type: 'longtask', buffered: true });
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```
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### Yield to main thread
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```ts
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function yieldToMain() {
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return new Promise(resolve => setTimeout(resolve, 0));
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}
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async function processChunks(items: Item[]) {
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for (let i = 0; i < items.length; i++) {
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process(items[i]);
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if (i % 100 === 0) await yieldToMain();
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}
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}
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```
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### scheduler.yield (Chrome 129+)
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```ts
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async function processBig(items: Item[]) {
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for (const item of items) {
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process(item);
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if ('scheduler' in window && 'yield' in (window as any).scheduler) {
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await (window as any).scheduler.yield();
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}
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}
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}
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```
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### Web Worker offload
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```ts
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// worker.ts
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self.onmessage = (e) => {
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const result = heavyTransform(e.data);
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self.postMessage(result);
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};
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// main.ts
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const w = new Worker(new URL('./worker.ts', import.meta.url), { type: 'module' });
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w.postMessage(largeData);
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w.onmessage = (e) => render(e.data);
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```
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### React startTransition
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```tsx
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import { startTransition, useState } from 'react';
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function Search() {
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const [q, setQ] = useState('');
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const [results, setResults] = useState<Item[]>([]);
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function onChange(e) {
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setQ(e.target.value); // urgent
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startTransition(() => {
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setResults(filter(allItems, e.target.value)); // background
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});
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}
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return <input value={q} onChange={onChange} />;
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}
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```
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### useDeferredValue
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```tsx
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function Page({ filter }) {
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const deferredFilter = useDeferredValue(filter);
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const items = useMemo(() => filterBig(deferredFilter), [deferredFilter]);
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return <List items={items} />;
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}
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```
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### requestIdleCallback for non-critical
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```ts
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const work = [...];
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function schedule() {
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if (!work.length) return;
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requestIdleCallback((deadline) => {
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while (work.length && deadline.timeRemaining() > 0) {
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doOne(work.shift());
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}
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schedule();
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});
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}
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schedule();
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```
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### Avoid layout thrash
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```ts
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// X — 매 read after write 매 force reflow
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els.forEach(el => {
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el.style.width = '100px';
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console.log(el.offsetWidth); // forced sync layout
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});
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// O — 매 batch read, batch write
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const widths = els.map(el => el.offsetWidth);
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els.forEach((el, i) => el.style.width = widths[i] + 1 + 'px');
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```
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## 매 결정 기준
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| 상황 | Approach |
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|---|---|
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| Heavy compute (parse/transform) | Web Worker |
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| Long list render | virtualization (TanStack Virtual) |
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| Filter on input | useDeferredValue / startTransition |
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| Background prefetch | requestIdleCallback |
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| Animation | CSS / RAF, no JS-driven layout |
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**기본값**: measure → smallest fix → re-measure.
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## 🔗 Graph
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- 부모: [[Frontend Performance]] · [[Core Web Vitals Optimization (INP, LCP 개선)|Core Web Vitals]]
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- 변형: [[INP]]
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- 응용: [[Web Worker]] · [[Concurrent Features|Concurrent Rendering]]
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- Adjacent: [[Bundle Size Optimization]] · [[Hydration]]
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## 🤖 LLM 활용
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**언제**: long task identification, scheduler API generation, INP debug script.
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**언제 X**: real device profiling — DevTools / WebPageTest 필수.
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## ❌ 안티패턴
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- **JS-driven animation**: setInterval + style 변경 — RAF / CSS 사용.
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- **Sync XMLHttpRequest**: 매 main block — fetch async 사용.
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- **Force layout in loop**: read after write — batch.
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- **Hydration of static page**: islands / partial hydration.
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- **Massive context provider**: 매 모든 child re-render — split context.
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## 🧪 검증 / 중복
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- Verified (web.dev INP guide, Chrome scheduler API, React 19 docs).
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- 신뢰도 A.
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## 🕓 Changelog
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| 날짜 | 변경 |
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|---|---|
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| 2026-05-08 | Phase 1 |
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| 2026-05-10 | Manual cleanup — CPU overhead pattern + scheduler API |
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