Answer: Multi-threading: executing multiple tasks concurrently to improve performance is achieved by creating and managing the Thread class. Parallel programming: Use multi-processors to perform multiple tasks at the same time, implemented with ForkJoinPool and ForkJoinTask. Detailed description: Multi-threading uses the Thread class to create and start threads to execute tasks concurrently. Parallel programming is implemented through ForkJoinPool and ForkJoinTask, which divides tasks into smaller subtasks and executes them in parallel on multiple processors. Practical examples include using a multi-threaded web server to handle client requests and using parallel programming to process image pixels in parallel.
Multi-threading and parallel programming in Java network programming
Multi-threading
Multi-threading is a technology that improves application performance by performing multiple tasks simultaneously. In Java, threads can be created and managed using the Thread
class.
// 扩展 Thread 类创建自定义线程 public class MyThread extends Thread { @Override public void run() { // 线程执行的代码 } } // 启动线程 MyThread thread = new MyThread(); thread.start();
Parallel Programming
Parallel programming is a technology that uses multiple processors to perform multiple tasks at the same time. In Java, you can use the ForkJoinPool
class and the ForkJoinTask
interface for parallel programming.
// 创建 ForkJoinPool ForkJoinPool pool = new ForkJoinPool(); // 创建 ForkJoinTask MyForkJoinTask task = new MyForkJoinTask(); // 提交任务到 ForkJoinPool ForkJoinTask<Long> result = pool.submit(task); // 等待并获取结果 Long total = result.get();
Practical case: multi-threaded web server
The following is a simple web server example that uses multi-threading to handle client requests:
import java.net.*; public class MultithreadedWebServer { public static void main(String[] args) throws Exception { ServerSocket serverSocket = new ServerSocket(8080); while (true) { // 接受客户端请求 Socket clientSocket = serverSocket.accept(); // 创建一个新线程来处理请求 new Thread(() -> { try { // 处理请求并发送响应 // ... } catch (Exception e) { // 处理异常 } }).start(); } } }
Practical Case: Parallel Image Processing
The following is an example of using parallel programming to process image pixels in parallel:
import java.util.concurrent.ForkJoinPool; import java.util.concurrent.ForkJoinTask; import java.util.concurrent.RecursiveTask; public class ImageProcessor extends RecursiveTask<Integer> { public static void main(String[] args) throws Exception { // 创建 ForkJoinPool ForkJoinPool pool = new ForkJoinPool(); // 创建 ImageProcessor 任务 ImageProcessor task = new ImageProcessor(); // 提交任务到 ForkJoinPool Long result = pool.invoke(task); } @Override protected Integer compute() { // 划分任务并递归调用 // ... } }
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