CPU Usage Optimization - Complete Guide
Published: September 25, 2024 | Reading time: 19 minutes
CPU Optimization Overview
CPU optimization improves application performance and reduces resource usage:
CPU Optimization Benefits
# CPU Optimization Benefits
- Faster application performance
- Reduced resource consumption
- Better user experience
- Lower server costs
- Improved scalability
- Better battery life (mobile)
- Enhanced responsiveness
CPU Profiling
JavaScript CPU Profiling
CPU Profiling Techniques
# JavaScript CPU Profiling
# 1. Chrome DevTools Profiler
# Steps to profile CPU usage:
# 1. Open DevTools > Performance tab
# 2. Click record button
# 3. Perform operations to profile
# 4. Stop recording
# 5. Analyze CPU usage graph
# 2. Custom Performance Profiler
class PerformanceProfiler {
constructor() {
this.profiles = new Map();
this.isProfiling = false;
}
startProfiling(name) {
if (this.isProfiling) return;
this.isProfiling = true;
this.currentProfile = {
name: name,
startTime: performance.now(),
marks: [],
measures: []
};
}
mark(label) {
if (!this.isProfiling) return;
const mark = {
label: label,
timestamp: performance.now()
};
this.currentProfile.marks.push(mark);
performance.mark(label);
}
measure(name, startMark, endMark) {
if (!this.isProfiling) return;
const measure = {
name: name,
startMark: startMark,
endMark: endMark,
duration: performance.now() - this.currentProfile.startTime
};
this.currentProfile.measures.push(measure);
performance.measure(name, startMark, endMark);
}
stopProfiling() {
if (!this.isProfiling) return;
this.currentProfile.endTime = performance.now();
this.currentProfile.totalDuration = this.currentProfile.endTime - this.currentProfile.startTime;
this.profiles.set(this.currentProfile.name, this.currentProfile);
this.isProfiling = false;
return this.currentProfile;
}
getProfile(name) {
return this.profiles.get(name);
}
getAllProfiles() {
return Array.from(this.profiles.values());
}
}
# 3. Function Performance Monitor
class FunctionPerformanceMonitor {
constructor() {
this.functions = new Map();
this.isMonitoring = false;
}
startMonitoring() {
this.isMonitoring = true;
}
stopMonitoring() {
this.isMonitoring = false;
}
wrapFunction(fn, name) {
const self = this;
return function(...args) {
if (!self.isMonitoring) {
return fn.apply(this, args);
}
const startTime = performance.now();
const result = fn.apply(this, args);
const endTime = performance.now();
self.recordFunctionCall(name, endTime - startTime);
return result;
};
}
recordFunctionCall(name, duration) {
if (!this.functions.has(name)) {
this.functions.set(name, {
calls: 0,
totalDuration: 0,
averageDuration: 0,
minDuration: Infinity,
maxDuration: 0
});
}
const stats = this.functions.get(name);
stats.calls++;
stats.totalDuration += duration;
stats.averageDuration = stats.totalDuration / stats.calls;
stats.minDuration = Math.min(stats.minDuration, duration);
stats.maxDuration = Math.max(stats.maxDuration, duration);
}
getFunctionStats(name) {
return this.functions.get(name);
}
getAllStats() {
return Array.from(this.functions.entries()).map(([name, stats]) => ({
name,
...stats
}));
}
getTopSlowestFunctions(limit = 10) {
return this.getAllStats()
.sort((a, b) => b.averageDuration - a.averageDuration)
.slice(0, limit);
}
}
# 4. CPU Usage Monitor
class CPUUsageMonitor {
constructor() {
this.isMonitoring = false;
this.measurements = [];
this.callback = null;
}
startMonitoring(callback, interval = 1000) {
if (this.isMonitoring) return;
this.isMonitoring = true;
this.callback = callback;
this.monitor(interval);
}
stopMonitoring() {
this.isMonitoring = false;
this.callback = null;
}
monitor(interval) {
if (!this.isMonitoring) return;
const measurement = this.getCPUUsage();
this.measurements.push(measurement);
if (this.callback) {
this.callback(measurement);
}
setTimeout(() => this.monitor(interval), interval);
}
getCPUUsage() {
const start = performance.now();
// Perform a small computation to measure CPU usage
let sum = 0;
for (let i = 0; i < 1000000; i++) {
sum += Math.random();
}
const end = performance.now();
const duration = end - start;
return {
timestamp: Date.now(),
duration: duration,
cpuUsage: this.calculateCPUUsage(duration)
};
}
calculateCPUUsage(duration) {
// Simplified CPU usage calculation
// In reality, you'd need more sophisticated measurement
return Math.min(duration / 10, 100);
}
getAverageCPUUsage() {
if (this.measurements.length === 0) return 0;
const total = this.measurements.reduce((sum, m) => sum + m.cpuUsage, 0);
return total / this.measurements.length;
}
getMeasurements() {
return this.measurements;
}
}
# 5. Performance Observer
class PerformanceObserver {
constructor() {
this.observers = new Map();
this.isObserving = false;
}
startObserving() {
if (this.isObserving) return;
this.isObserving = true;
// Observe navigation timing
if ('PerformanceObserver' in window) {
const navObserver = new window.PerformanceObserver((list) => {
for (const entry of list.getEntries()) {
this.handleNavigationEntry(entry);
}
});
navObserver.observe({ entryTypes: ['navigation'] });
this.observers.set('navigation', navObserver);
}
// Observe resource timing
if ('PerformanceObserver' in window) {
const resourceObserver = new window.PerformanceObserver((list) => {
for (const entry of list.getEntries()) {
this.handleResourceEntry(entry);
}
});
resourceObserver.observe({ entryTypes: ['resource'] });
this.observers.set('resource', resourceObserver);
}
}
stopObserving() {
this.isObserving = false;
for (const observer of this.observers.values()) {
observer.disconnect();
}
this.observers.clear();
}
handleNavigationEntry(entry) {
console.log('Navigation entry:', {
name: entry.name,
duration: entry.duration,
loadTime: entry.loadEventEnd - entry.loadEventStart,
domContentLoaded: entry.domContentLoadedEventEnd - entry.domContentLoadedEventStart
});
}
handleResourceEntry(entry) {
console.log('Resource entry:', {
name: entry.name,
duration: entry.duration,
size: entry.transferSize,
type: entry.initiatorType
});
}
}
JavaScript Optimization
Code Optimization Techniques
JavaScript Optimization Strategies
# JavaScript Optimization Strategies
# 1. Loop Optimization
// Bad - Inefficient loop
function inefficientLoop(array) {
let result = [];
for (let i = 0; i < array.length; i++) {
if (array[i] > 0) {
result.push(array[i] * 2);
}
}
return result;
}
// Good - Optimized loop
function optimizedLoop(array) {
const result = [];
const length = array.length;
for (let i = 0; i < length; i++) {
const item = array[i];
if (item > 0) {
result.push(item * 2);
}
}
return result;
}
// Better - Using modern methods
function modernLoop(array) {
return array
.filter(item => item > 0)
.map(item => item * 2);
}
# 2. Function Optimization
// Bad - Inefficient function
function inefficientFunction(data) {
let result = [];
for (let i = 0; i < data.length; i++) {
let processed = data[i];
processed = processed.toUpperCase();
processed = processed.trim();
processed = processed.replace(/\s+/g, ' ');
result.push(processed);
}
return result;
}
// Good - Optimized function
function optimizedFunction(data) {
const result = [];
const length = data.length;
for (let i = 0; i < length; i++) {
const processed = data[i]
.toUpperCase()
.trim()
.replace(/\s+/g, ' ');
result.push(processed);
}
return result;
}
# 3. Object Property Access Optimization
// Bad - Repeated property access
function inefficientPropertyAccess(obj) {
if (obj.user && obj.user.profile && obj.user.profile.name) {
return obj.user.profile.name.toUpperCase();
}
return '';
}
// Good - Cached property access
function optimizedPropertyAccess(obj) {
const name = obj.user?.profile?.name;
return name ? name.toUpperCase() : '';
}
# 4. String Optimization
// Bad - String concatenation in loop
function inefficientStringConcat(items) {
let result = '';
for (let i = 0; i < items.length; i++) {
result += items[i] + ', ';
}
return result;
}
// Good - Array join
function optimizedStringConcat(items) {
return items.join(', ');
}
# 5. Array Optimization
// Bad - Inefficient array operations
function inefficientArrayOps(array) {
let result = [];
for (let i = 0; i < array.length; i++) {
if (array[i] > 0) {
result.push(array[i]);
}
}
return result;
}
// Good - Optimized array operations
function optimizedArrayOps(array) {
return array.filter(item => item > 0);
}
# 6. Memory-Efficient Algorithms
class EfficientAlgorithms {
// Efficient sorting
static quickSort(array) {
if (array.length <= 1) return array;
const pivot = array[Math.floor(array.length / 2)];
const left = array.filter(x => x < pivot);
const middle = array.filter(x => x === pivot);
const right = array.filter(x => x > pivot);
return [...this.quickSort(left), ...middle, ...this.quickSort(right)];
}
// Efficient searching
static binarySearch(array, target) {
let left = 0;
let right = array.length - 1;
while (left <= right) {
const mid = Math.floor((left + right) / 2);
if (array[mid] === target) {
return mid;
} else if (array[mid] < target) {
left = mid + 1;
} else {
right = mid - 1;
}
}
return -1;
}
// Efficient deduplication
static deduplicate(array) {
const seen = new Set();
const result = [];
for (const item of array) {
if (!seen.has(item)) {
seen.add(item);
result.push(item);
}
}
return result;
}
}
# 7. Caching and Memoization
class MemoizationCache {
constructor() {
this.cache = new Map();
}
memoize(fn, keyGenerator) {
const self = this;
return function(...args) {
const key = keyGenerator ? keyGenerator(...args) : JSON.stringify(args);
if (self.cache.has(key)) {
return self.cache.get(key);
}
const result = fn.apply(this, args);
self.cache.set(key, result);
return result;
};
}
clear() {
this.cache.clear();
}
size() {
return this.cache.size;
}
}
// Usage
const cache = new MemoizationCache();
const expensiveFunction = (n) => {
let result = 0;
for (let i = 0; i < n; i++) {
result += i;
}
return result;
};
const memoizedFunction = cache.memoize(expensiveFunction);
# 8. Debouncing and Throttling
class PerformanceOptimizer {
static debounce(func, wait) {
let timeout;
return function executedFunction(...args) {
const later = () => {
clearTimeout(timeout);
func(...args);
};
clearTimeout(timeout);
timeout = setTimeout(later, wait);
};
}
static throttle(func, limit) {
let inThrottle;
return function executedFunction(...args) {
if (!inThrottle) {
func.apply(this, args);
inThrottle = true;
setTimeout(() => inThrottle = false, limit);
}
};
}
static requestAnimationFrameThrottle(func) {
let rafId;
return function executedFunction(...args) {
if (rafId) return;
rafId = requestAnimationFrame(() => {
func.apply(this, args);
rafId = null;
});
};
}
}
Node.js CPU Optimization
Server-Side Optimization
Node.js CPU Optimization
# Node.js CPU Optimization
# 1. Cluster Module for CPU Utilization
const cluster = require('cluster');
const numCPUs = require('os').cpus().length;
if (cluster.isMaster) {
console.log(`Master ${process.pid} is running`);
// Fork workers
for (let i = 0; i < numCPUs; i++) {
cluster.fork();
}
cluster.on('exit', (worker, code, signal) => {
console.log(`Worker ${worker.process.pid} died`);
cluster.fork(); // Restart worker
});
} else {
// Worker process
const express = require('express');
const app = express();
app.get('/', (req, res) => {
res.json({ pid: process.pid, message: 'Hello World' });
});
app.listen(3000, () => {
console.log(`Worker ${process.pid} started`);
});
}
# 2. Worker Threads for CPU-Intensive Tasks
const { Worker, isMainThread, parentPort, workerData } = require('worker_threads');
if (isMainThread) {
// Main thread
class CPUIntensiveTask {
constructor() {
this.workers = [];
this.taskQueue = [];
}
async processTask(data) {
return new Promise((resolve, reject) => {
const worker = new Worker(__filename, {
workerData: data
});
worker.on('message', (result) => {
resolve(result);
worker.terminate();
});
worker.on('error', reject);
worker.on('exit', (code) => {
if (code !== 0) {
reject(new Error(`Worker stopped with exit code ${code}`));
}
});
});
}
}
const taskProcessor = new CPUIntensiveTask();
// Example usage
taskProcessor.processTask({ numbers: [1, 2, 3, 4, 5] })
.then(result => console.log('Result:', result))
.catch(error => console.error('Error:', error));
} else {
// Worker thread
const { numbers } = workerData;
// CPU-intensive computation
let result = 0;
for (let i = 0; i < numbers.length; i++) {
result += numbers[i] * numbers[i];
}
parentPort.postMessage({ result });
}
# 3. Process Monitoring
const os = require('os');
const fs = require('fs');
class ProcessMonitor {
constructor() {
this.metrics = {
cpuUsage: 0,
memoryUsage: 0,
uptime: 0,
loadAverage: [0, 0, 0]
};
}
getCPUUsage() {
const cpus = os.cpus();
let totalIdle = 0;
let totalTick = 0;
cpus.forEach(cpu => {
for (const type in cpu.times) {
totalTick += cpu.times[type];
}
totalIdle += cpu.times.idle;
});
return {
idle: totalIdle,
total: totalTick,
usage: 100 - (100 * totalIdle / totalTick)
};
}
getMemoryUsage() {
const total = os.totalmem();
const free = os.freemem();
const used = total - free;
return {
total: total,
used: used,
free: free,
usage: (used / total) * 100
};
}
getLoadAverage() {
return os.loadavg();
}
getSystemInfo() {
return {
platform: os.platform(),
arch: os.arch(),
cpus: os.cpus().length,
uptime: os.uptime(),
hostname: os.hostname()
};
}
startMonitoring(interval = 5000) {
setInterval(() => {
this.metrics = {
cpuUsage: this.getCPUUsage(),
memoryUsage: this.getMemoryUsage(),
loadAverage: this.getLoadAverage(),
timestamp: Date.now()
};
this.logMetrics();
}, interval);
}
logMetrics() {
console.log('System Metrics:', {
cpu: `${this.metrics.cpuUsage.usage.toFixed(2)}%`,
memory: `${this.metrics.memoryUsage.usage.toFixed(2)}%`,
load: this.metrics.loadAverage.map(load => load.toFixed(2))
});
}
}
# 4. Performance Profiling
const v8 = require('v8');
const fs = require('fs');
class NodePerformanceProfiler {
constructor() {
this.profiles = [];
}
startProfiling(name) {
v8.setFlagsFromString('--prof');
console.log(`Started profiling: ${name}`);
}
stopProfiling(name) {
v8.setFlagsFromString('--no-prof');
console.log(`Stopped profiling: ${name}`);
}
takeHeapSnapshot(filename) {
const snapshot = v8.getHeapSnapshot();
const file = fs.createWriteStream(filename);
snapshot.pipe(file);
return new Promise((resolve, reject) => {
file.on('finish', resolve);
file.on('error', reject);
});
}
getHeapStatistics() {
return v8.getHeapStatistics();
}
getHeapSpaceStatistics() {
return v8.getHeapSpaceStatistics();
}
forceGC() {
if (global.gc) {
global.gc();
} else {
console.warn('Garbage collection not available. Run with --expose-gc flag.');
}
}
}
# 5. CPU-Intensive Task Optimization
class CPUOptimizer {
constructor() {
this.taskQueue = [];
this.isProcessing = false;
this.maxConcurrentTasks = os.cpus().length;
this.activeTasks = 0;
}
async addTask(task) {
return new Promise((resolve, reject) => {
this.taskQueue.push({
task,
resolve,
reject
});
this.processQueue();
});
}
async processQueue() {
if (this.isProcessing || this.activeTasks >= this.maxConcurrentTasks) {
return;
}
this.isProcessing = true;
while (this.taskQueue.length > 0 && this.activeTasks < this.maxConcurrentTasks) {
const { task, resolve, reject } = this.taskQueue.shift();
this.activeTasks++;
try {
const result = await this.executeTask(task);
resolve(result);
} catch (error) {
reject(error);
} finally {
this.activeTasks--;
}
}
this.isProcessing = false;
}
async executeTask(task) {
// Simulate CPU-intensive task
return new Promise((resolve) => {
setImmediate(() => {
const result = task();
resolve(result);
});
});
}
}
# 6. Memory and CPU Optimization
class ResourceOptimizer {
constructor() {
this.memoryThreshold = 0.8; // 80% memory usage
this.cpuThreshold = 0.8; // 80% CPU usage
this.isOptimizing = false;
}
startOptimization() {
setInterval(() => {
this.checkAndOptimize();
}, 10000); // Check every 10 seconds
}
checkAndOptimize() {
const memoryUsage = this.getMemoryUsage();
const cpuUsage = this.getCPUUsage();
if (memoryUsage > this.memoryThreshold || cpuUsage > this.cpuThreshold) {
this.optimize();
}
}
getMemoryUsage() {
const memUsage = process.memoryUsage();
const totalMem = require('os').totalmem();
return memUsage.heapUsed / totalMem;
}
getCPUUsage() {
const startUsage = process.cpuUsage();
const startTime = Date.now();
return new Promise((resolve) => {
setTimeout(() => {
const endUsage = process.cpuUsage(startUsage);
const endTime = Date.now();
const cpuPercent = (endUsage.user + endUsage.system) / 1000 / (endTime - startTime);
resolve(cpuPercent);
}, 100);
});
}
optimize() {
if (this.isOptimizing) return;
this.isOptimizing = true;
// Force garbage collection
if (global.gc) {
global.gc();
}
// Clear caches if needed
this.clearCaches();
this.isOptimizing = false;
}
clearCaches() {
// Clear application caches
if (global.appCache) {
global.appCache.clear();
}
}
}
Browser CPU Optimization
Client-Side Optimization
Browser CPU Optimization
# Browser CPU Optimization
# 1. RequestAnimationFrame Optimization
class AnimationOptimizer {
constructor() {
this.animations = new Map();
this.isRunning = false;
}
addAnimation(id, animationFunction) {
this.animations.set(id, animationFunction);
if (!this.isRunning) {
this.startAnimationLoop();
}
}
removeAnimation(id) {
this.animations.delete(id);
if (this.animations.size === 0) {
this.stopAnimationLoop();
}
}
startAnimationLoop() {
this.isRunning = true;
this.animate();
}
stopAnimationLoop() {
this.isRunning = false;
}
animate() {
if (!this.isRunning) return;
// Execute all animations
for (const animation of this.animations.values()) {
animation();
}
// Schedule next frame
requestAnimationFrame(() => this.animate());
}
}
# 2. Web Workers for CPU-Intensive Tasks
class WebWorkerManager {
constructor() {
this.workers = new Map();
this.taskQueue = [];
this.maxWorkers = navigator.hardwareConcurrency || 4;
}
async executeTask(taskData, taskFunction) {
return new Promise((resolve, reject) => {
const worker = this.getAvailableWorker();
if (worker) {
this.executeTaskOnWorker(worker, taskData, taskFunction, resolve, reject);
} else {
this.taskQueue.push({ taskData, taskFunction, resolve, reject });
}
});
}
getAvailableWorker() {
for (const [id, worker] of this.workers) {
if (worker.busy === false) {
return worker;
}
}
if (this.workers.size < this.maxWorkers) {
return this.createWorker();
}
return null;
}
createWorker() {
const workerId = `worker-${Date.now()}`;
const worker = new Worker(URL.createObjectURL(new Blob([`
self.onmessage = function(e) {
const { taskData, taskFunction } = e.data;
try {
const result = eval('(' + taskFunction + ')')(taskData);
self.postMessage({ success: true, result });
} catch (error) {
self.postMessage({ success: false, error: error.message });
}
};
`], { type: 'application/javascript' })));
worker.busy = false;
this.workers.set(workerId, worker);
return worker;
}
executeTaskOnWorker(worker, taskData, taskFunction, resolve, reject) {
worker.busy = true;
const handleMessage = (e) => {
worker.removeEventListener('message', handleMessage);
worker.busy = false;
if (e.data.success) {
resolve(e.data.result);
} else {
reject(new Error(e.data.error));
}
this.processQueue();
};
worker.addEventListener('message', handleMessage);
worker.postMessage({ taskData, taskFunction });
}
processQueue() {
if (this.taskQueue.length === 0) return;
const worker = this.getAvailableWorker();
if (worker) {
const { taskData, taskFunction, resolve, reject } = this.taskQueue.shift();
this.executeTaskOnWorker(worker, taskData, taskFunction, resolve, reject);
}
}
}
# 3. CPU Usage Monitor
class BrowserCPUMonitor {
constructor() {
this.isMonitoring = false;
this.measurements = [];
this.callback = null;
}
startMonitoring(callback, interval = 1000) {
if (this.isMonitoring) return;
this.isMonitoring = true;
this.callback = callback;
this.monitor(interval);
}
stopMonitoring() {
this.isMonitoring = false;
this.callback = null;
}
monitor(interval) {
if (!this.isMonitoring) return;
const measurement = this.measureCPUUsage();
this.measurements.push(measurement);
if (this.callback) {
this.callback(measurement);
}
setTimeout(() => this.monitor(interval), interval);
}
measureCPUUsage() {
const start = performance.now();
// Perform a small computation to measure CPU usage
let sum = 0;
for (let i = 0; i < 100000; i++) {
sum += Math.random();
}
const end = performance.now();
const duration = end - start;
return {
timestamp: Date.now(),
duration: duration,
cpuUsage: this.calculateCPUUsage(duration)
};
}
calculateCPUUsage(duration) {
// Simplified CPU usage calculation
return Math.min(duration / 5, 100);
}
getAverageCPUUsage() {
if (this.measurements.length === 0) return 0;
const total = this.measurements.reduce((sum, m) => sum + m.cpuUsage, 0);
return total / this.measurements.length;
}
}
# 4. Performance Budget Monitor
class PerformanceBudgetMonitor {
constructor(budget) {
this.budget = {
maxCPUUsage: 50, // 50% CPU usage
maxMemoryUsage: 100, // 100MB memory usage
maxExecutionTime: 100, // 100ms execution time
...budget
};
this.violations = [];
}
checkBudget(metrics) {
const violations = [];
if (metrics.cpuUsage > this.budget.maxCPUUsage) {
violations.push({
type: 'cpu_usage',
value: metrics.cpuUsage,
limit: this.budget.maxCPUUsage,
severity: 'warning'
});
}
if (metrics.memoryUsage > this.budget.maxMemoryUsage) {
violations.push({
type: 'memory_usage',
value: metrics.memoryUsage,
limit: this.budget.maxMemoryUsage,
severity: 'error'
});
}
if (metrics.executionTime > this.budget.maxExecutionTime) {
violations.push({
type: 'execution_time',
value: metrics.executionTime,
limit: this.budget.maxExecutionTime,
severity: 'warning'
});
}
this.violations.push(...violations);
return violations;
}
getViolations() {
return this.violations;
}
generateReport() {
return {
budget: this.budget,
violations: this.violations,
summary: {
totalViolations: this.violations.length,
errors: this.violations.filter(v => v.severity === 'error').length,
warnings: this.violations.filter(v => v.severity === 'warning').length
}
};
}
}
# 5. CPU-Intensive Task Scheduler
class TaskScheduler {
constructor() {
this.tasks = [];
this.isRunning = false;
this.maxExecutionTime = 5; // 5ms per task
}
addTask(task, priority = 0) {
this.tasks.push({ task, priority, id: Date.now() });
this.tasks.sort((a, b) => b.priority - a.priority);
if (!this.isRunning) {
this.startScheduler();
}
}
startScheduler() {
this.isRunning = true;
this.schedule();
}
stopScheduler() {
this.isRunning = false;
}
schedule() {
if (!this.isRunning || this.tasks.length === 0) {
this.isRunning = false;
return;
}
const startTime = performance.now();
while (this.tasks.length > 0 && (performance.now() - startTime) < this.maxExecutionTime) {
const { task } = this.tasks.shift();
try {
task();
} catch (error) {
console.error('Task execution error:', error);
}
}
if (this.tasks.length > 0) {
requestIdleCallback(() => this.schedule());
} else {
this.isRunning = false;
}
}
}
# 6. CPU Optimization Utilities
class CPUOptimizationUtils {
static debounce(func, wait) {
let timeout;
return function executedFunction(...args) {
const later = () => {
clearTimeout(timeout);
func(...args);
};
clearTimeout(timeout);
timeout = setTimeout(later, wait);
};
}
static throttle(func, limit) {
let inThrottle;
return function executedFunction(...args) {
if (!inThrottle) {
func.apply(this, args);
inThrottle = true;
setTimeout(() => inThrottle = false, limit);
}
};
}
static requestAnimationFrameThrottle(func) {
let rafId;
return function executedFunction(...args) {
if (rafId) return;
rafId = requestAnimationFrame(() => {
func.apply(this, args);
rafId = null;
});
};
}
static requestIdleCallbackThrottle(func) {
let icbId;
return function executedFunction(...args) {
if (icbId) return;
icbId = requestIdleCallback(() => {
func.apply(this, args);
icbId = null;
});
};
}
}
Best Practices
CPU Optimization Guidelines
Optimization Best Practices
- Profile before optimizing
- Use appropriate data structures
- Avoid unnecessary computations
- Implement caching strategies
- Use Web Workers for heavy tasks
- Optimize loops and algorithms
- Monitor performance metrics
Common Performance Issues
- Inefficient loops
- Excessive DOM manipulation
- Memory leaks
- Blocking operations
- Poor algorithm choices
- Unnecessary re-renders
- Heavy computations on main thread
Summary
CPU usage optimization involves several key components:
- Profiling: Performance monitoring, function analysis, CPU usage tracking
- JavaScript Optimization: Loop optimization, function optimization, algorithm efficiency
- Node.js Optimization: Cluster module, worker threads, process monitoring
- Browser Optimization: Web Workers, animation optimization, task scheduling
- Best Practices: Optimization guidelines, common performance issues
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