How does the Fork/Join framework in Java implement parallel computing?

Java Fork/Join Framework: Guide to Parallel Computing The Fork/Join framework uses a divide-and-conquer approach for efficient parallel computing. Its main components include ForkJoinPool (which manages the thread pool and allocates tasks), ForkJoinTask (which represents tasks that can be executed in parallel), etc. The specific implementation steps are as follows: Create ForkJoinPool. Create a ForkJoinTask to represent the task. Call pool.invoke(task) to start executing the task.

Fork/Join Framework in Java: A Guide to Parallel Computing

Introduction

Principle

• ForkJoinPool: Manages the thread pool and Assign tasks.
• ForkJoinTask: represents a task that can be executed in parallel.
• RecursiveAction: Represents a task that does not return results.
• RecursiveTask: Represents the task that returns results.

Implementation

Create a
1. ForkJoinPool .
Create a
2. ForkJoinTask to represent the task.
Call
3. pool.invoke(task)Start executing the task.

Practical case

// 任务类
class SumTask extends RecursiveTask<Integer> {

    private final int[] arr;
    private final int start;
    private final int end;

    // 构造函数
    public SumTask(int[] arr, int start, int end) {
        this.arr = arr;
        this.start = start;
        this.end = end;
    }

    @Override
    protected Integer compute() {
        // 计算任务范围内的数组元素总和
        int sum = 0;
        for (int i = start; i < end; i++) {
            sum += arr[i];
        }
        return sum;
    }
}

// 主类
public class Main {

    public static void main(String[] args) {
        int[] arr = {1, 2, 3, 4, 5, 6, 7, 8};
        ForkJoinPool pool = new ForkJoinPool();

        // 创建任务
        SumTask task = new SumTask(arr, 0, arr.length);

        // 提交任务并得到结果
        int sum = pool.invoke(task);

        // 输出结果
        System.out.println("数组元素总和：" + sum);
    }
}

Conclusion

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