如何通过并行处理提升 Java 函数的吞吐量？

import java.util.concurrent.ForkJoinPool;
import java.util.concurrent.RecursiveTask;

public class ParallelSum extends RecursiveTask<Integer> {

    private int[] numbers;
    private int start;
    private int end;

    public ParallelSum(int[] numbers, int start, int end) {
        this.numbers = numbers;
        this.start = start;
        this.end = end;
    }

    @Override
    protected Integer compute() {
        if ((end - start) <= threshold) {
            return Arrays.stream(numbers, start, end).sum();
        }

        int mid = (start + end) / 2;
        ParallelSum leftTask = new ParallelSum(numbers, start, mid);
        ParallelSum rightTask = new ParallelSum(numbers, mid, end);

        leftTask.fork();
        rightTask.fork();

        return leftTask.join() + rightTask.join();
    }

    public static void main(String[] args) {
        int[] numbers = new int[100000];
        ForkJoinPool pool = new ForkJoinPool();

        ParallelSum task = new ParallelSum(numbers, 0, numbers.length);
        int result = pool.invoke(task);

        System.out.println("Sum of the numbers: " + result);
    }
}

import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;

public class AsynchronousTasks {

    private static final int NUM_THREADS = 4;

    public static void main(String[] args) {
        ExecutorService executorService = Executors.newFixedThreadPool(NUM_THREADS);

        for (int i = 0; i < 10; i++) {
            executorService.submit(() -> {
                // 执行耗时任务
                 System.out.println("Task " + i + " completed.");
            });
        }

        executorService.shutdown();
    }
}