Java线程notify()wait()以便更快地进行计算

时间:2014-01-19 09:45:33

标签: java multithreading parallel-processing producer-consumer thread-synchronization

我必须用线程创建简单的应用程序。任务:比串行处理更快的计算。我必须使用方法notify()或notifyAll()wait()interrupt()和运算符synchronized。 我试着通过书中的例子解决这个问题。此示例是典型的生产消费者任务。但并行线程计算比串行慢。

包含notify()wait()synchronized的小组:

public class Reader {
  private boolean isRead = false;
  private boolean isFileEnd = false;
  private int value;
  private int[] pole;
  private int pocitadlo=0;

  public Reader(int[]pole) {
      this.pole=pole;
  }

  synchronized public void loadValue() {
    while (isRead == true) {
      try {
        wait();
      }
      catch (InterruptedException e) { }
    }


      if (pocitadlo<pole.length) {
        value = pole[pocitadlo];
        pocitadlo++;
      }
      else {
        isFileEnd = true;
        Thread.currentThread().interrupt();
      }

    isRead = true;
    notifyAll();
  }

  synchronized public int getValue() {
    while (isRead == false) {
      try {
        wait();
      }
      catch (InterruptedException e) { }
    }
    isRead = false;
    if (isFileEnd == false) {
      notifyAll();
      return value;
    }
    else {
      Thread.currentThread().interrupt();
      return 0;
    }
  }
}

制作人类:

public class Producent extends Thread {
    private Reader reader;

    public Producent(Reader reader) {
        this.reader = reader;
    }

    @Override
    public void run() {
        while (interrupted() == false) {
            reader.loadValue();
        }
    }
}

消费者类:

public class Konzument extends Thread {
    private Reader reader;
    private double sum = 0;

    public Konzument(Reader reader) {
        this.reader = reader;
    }

    @Override
    public void run() {
        int number;
        while (true) {
            number = reader.getValue();
            if (interrupted() == false)
                sum += Math.sqrt(number);
            else
                break;
        }
    }

    public double getSum(){
        return sum;
    }
}

主类代码(我知道我可以循环创建对象以获得更大的舒适度,但这只是示例):

public class PARPV2 {

/**
 * @param args the command line arguments
 */
public static void main(String[] args) {
    Watch watch=new Watch();
    double suma=0;    
        int size=1000000;
        int[]array1=new int[size];
        int[]array2=new int[size];
        int[]array3=new int[size];
        int[]array4=new int[size];
        int[]array5=new int[size];

        generate(array1);
        generate(array2);
        generate(array3);
        generate(array4);
        generate(array5);

        Reader reader1=new Reader(array1);
        Reader reader2=new Reader(array2);
        Reader reader3=new Reader(array3);
        Reader reader4=new Reader(array4);
        Reader reader5=new Reader(array5);

        Producent p1=new Producent(reader1);
        Konzument k1=new Konzument(reader1);
        Producent p2=new Producent(reader2);
        Konzument k2=new Konzument(reader2);
        Producent p3=new Producent(reader3);
        Konzument k3=new Konzument(reader3);
        Producent p4=new Producent(reader4);
        Konzument k4=new Konzument(reader4);
        Producent p5=new Producent(reader5);
        Konzument k5=new Konzument(reader5);

        watch.start();

        p1.start();
        k1.start();
        p2.start();
        k2.start();
        p3.start();
        k3.start();
        p4.start();
        k4.start();
        p5.start();
        k5.start();
    try {


        p1.join();
        k1.join();
        p2.join();
        k2.join();
        p3.join();
        k3.join();
        p4.join();
        k4.join();
        p5.join();
        k5.join();

        suma=k1.getSum()+k2.getSum()+k3.getSum()+k4.getSum()+k5.getSum();
        System.out.println("paralelne: "+watch.stop(false));
        System.out.println("suma: "+suma);
    } catch (InterruptedException ex) {
        Logger.getLogger(PARPV2.class.getName()).log(Level.SEVERE, null, ex);
    }
    double sum1=0;
    double sum2=0;
    double sum3=0;
    double sum4=0;
    double sum5=0;

    watch.start();

    for (int i = 0; i < array1.length; i++) {
        sum1+=Math.sqrt(array1[i]);
    }
    for (int i = 0; i < array2.length; i++) {
        sum2+=Math.sqrt(array2[i]);
    }
    for (int i = 0; i < array3.length; i++) {
        sum3+=Math.sqrt(array3[i]);
    }
    for (int i = 0; i < array4.length; i++) {
        sum4+=Math.sqrt(array4[i]);
    }
    for (int i = 0; i < array5.length; i++) {
        sum5+=Math.sqrt(array5[i]);
    }
    suma=sum1+sum2+sum3+sum4+sum5;
    System.out.println("serial: "+watch.stop(false));
    System.out.println("suma: "+suma);
}
public static void generate(int[]array){
    Random r=new Random();
    for (int i = 0; i < array.length; i++) {
        array[i]=r.nextInt(100);
    }
}

}

当我运行此程序时,串行计算比并行快得多。但我有双核和我的事情,并行计算必须更快。我没有线程经验,也许我的例子是假的......请问哪里有问题?感谢

1 个答案:

答案 0 :(得分:1)

如果你想使用Threads更快地执行,我认为你应该使用一个类来实现与serial相同的东西,类似的东西:

public class Calc extends Thread {

    private int[] array;
    private double sum;

    public Calc(int[] array) {
        this.array = array;
        this.sum = 0;
    }

    @Override
    public void run() {
        for (int i = 0; i < array.length; i++) {
            sum += Math.sqrt(array[i]);
        }
    }

    public double getSum() {
        return this.sum;
    }
}

通过这种方式,并行计算比串行计算快2倍。我认为您应用的Producer-Consummer模式不能比串行更快,因为您通过以下方式在代码中提供更多指令和中断:

  1. 获取新值(消费者等待新项目可用)
  2. 使用此值(生产者等待消费者完成计算)
  3. 也许生产者应该是生成随机数的人,而消费者应该是使用这些值的人?

    (请使用while(isRead)!运算符而不是那些丑陋的while(isRead == false):这更具可读性;)