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Java parallel programming implementation methods: 1. Multi-threading, 2. Thread pool, 3. Lock, 4. Atomic variables. Choosing the appropriate method depends on the requirements, for example: High throughput: multi-threading or thread pool Low response time: threads Pool or atomic variable resources are limited: thread pool or lock
Java parallel programming implementation
Java provides a variety of Mechanisms to implement parallel programming, including:
How to choose the appropriate implementation method?
Choosing the appropriate parallel programming implementation depends on the needs of the application:
Practical case:
Use thread pool to improve throughput:
import java.util.concurrent.ExecutorService; import java.util.concurrent.Executors; public class ThreadPoolDemo { public static void main(String[] args) { // 创建一个固定大小的线程池 ExecutorService executor = Executors.newFixedThreadPool(10); // 创建任务 Runnable task = () -> { System.out.println("Hello from thread " + Thread.currentThread().getName()); }; // 提交任务到线程池 for (int i = 0; i < 100; i++) { executor.submit(task); } // 等待所有任务完成 executor.shutdown(); while (!executor.isTerminated()) { try { Thread.sleep(100); } catch (InterruptedException e) { e.printStackTrace(); } } } }
Use atomic variables Implement thread safety:
import java.util.concurrent.atomic.AtomicInteger; public class AtomicVariableDemo { public static void main(String[] args) { // 创建一个原子整数 AtomicInteger counter = new AtomicInteger(0); // 两个线程同时更新计数器 Thread thread1 = new Thread(() -> { for (int i = 0; i < 100000; i++) { counter.incrementAndGet(); } }); Thread thread2 = new Thread(() -> { for (int i = 0; i < 100000; i++) { counter.incrementAndGet(); } }); thread1.start(); thread2.start(); // 等待线程完成 try { thread1.join(); thread2.join(); } catch (InterruptedException e) { e.printStackTrace(); } // 打印最终计数器值 System.out.println("Final count: " + counter.get()); } }
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