java中的低效线程

Question

I currently have some problems to understand why in some cases, parallelization in Java seems infficient. In the following code, I build 4 identical tasks that are executed using a ThreadPool.

On my Core i5 (2 core, 4 thread), if I set the number of workers to 1, the computer needs around 5700ms and use 25% of the processor. If I set the number of workers to 4, then I observe 100% of CPU usage but... the time of computation is the same: 5700ms, while I expect it to be 4 times lower.

Why? Is it normal?

(Of course my real task is more complicated, but the example seems to reproduce the problem). Thank you by advance for your answers.

Here is the code:

public class Test {

public static void main(String[] args) {
    int nb_workers=1;
    ExecutorService executor=Executors.newFixedThreadPool(nb_workers);
    long tic=System.currentTimeMillis();
    for(int i=0; i<4;i++){
        WorkerTest wt=new WorkerTest();
        executor.execute(wt);
    }
    executor.shutdown();
    try {
        executor.awaitTermination(1000, TimeUnit.SECONDS);
    } catch (InterruptedException e) {e.printStackTrace();}
    System.out.println(System.currentTimeMillis()-tic);
}

public static class WorkerTest implements Runnable {
    @Override
    public void run()  {
        double[] array=new double[10000000];
        for (int i=0;i<array.length;i++){
            array[i]=Math.tanh(Math.random());
        }
    }
}
}

Answer 1

The clue is that you are calling Math.random which uses a single global instance of Random . So, all your 4 threads compete for the one resource.

Using a thread local Random object will make your execution really parallel:

Random random = new Random();
double[] array = new double[10000000];
for (int i = 0; i < array.length; i++) {
    array[i] = Math.tanh(random.nextDouble());
}