Java函数式编程如何在多核处理器架构中优化并行计算？

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

class SumTask extends RecursiveTask<Long> {

    private final long[] data;
    private final int start;
    private final int end;

    public SumTask(long[] data, int start, int end) {
        this.data = data;
        this.start = start;
        this.end = end;
    }

    @Override
    protected Long compute() {
        long sum = 0;
        if (end - start < SPLIT_THRESHOLD) {
            for (int i = start; i < end; i++) {
                sum += data[i];
            }
        } else {
            int mid = (start + end) / 2;
            SumTask leftTask = new SumTask(data, start, mid);
            SumTask rightTask = new SumTask(data, mid, end);
            invokeAll(leftTask, rightTask);
            sum = leftTask.join() + rightTask.join();
        }
        return sum;
    }
}

public class ParallelArraySum {

    private static final int SPLIT_THRESHOLD = 50000;

    public static long sum(long[] data) {
        ForkJoinPool pool = new ForkJoinPool();
        long result = pool.invoke(new SumTask(data, 0, data.length))
        return result;
    }

    public static void main(String[] args) {
        long[] data = generateLargeArray();
        long sum = sum(data);
        System.out.println("Sum: " + sum);
    }
}