Re: Java VM 1.6.0 Sorting Collections

From:
=?ISO-8859-1?Q?Arne_Vajh=F8j?= <arne@vajhoej.dk>
Newsgroups:
comp.lang.java.programmer
Date:
Thu, 10 Jun 2010 20:24:15 -0400
Message-ID:
<4c11822d$0$280$14726298@news.sunsite.dk>
On 10-06-2010 00:00, petek1976 wrote:

I have been having some trouble with the performance of Java. In my
code I have narrowed it down to the sort:

For instance:

import java.util.*;
public class SortTest
{
    public static void main(String args[])
    {
       final int vecSize = 1000000;
       ArrayList<Double> vec = new ArrayList<Double>(vecSize);
       final int numItr = 10;
       ArrayList<Double> times = new ArrayList<Double>(numItr);
       for (int i=0; i<numItr; ++i)
       {
          for (int k=0; k<vecSize; ++k)
          {
              vec.add(k,Math.random());
          }
          long startTime = System.nanoTime();
          java.util.Collections.sort(vec);
          long endTime = System.nanoTime();
          times.add(i,(endTime-startTime)*1.e-9);
          vec = new ArrayList<Double>(vecSize);
       }
       double avg=0.0;
       for (Double val:times)
       {
          avg += val;
       }
       avg /= times.size();
       System.out.println("To sort " + vec.size() + " elements " +
          numItr + " times took " + avg + " seconds on average");

    }
}

This prints about 0.58 seconds on average. How can I optimize this
reasonably? Note I am only timing the sort function. Using an array
instead of ArrayList is not an option. I tried Vector but it didn't
help. The equivalent C++ code (using vector) runs in about 0.37
seconds when built with optimization (g++ version 4.2.1 using -03
optimization ). I am running on a MacBook Pro 2.66 GHz Intel Core i7
with 4 GB of ram. I also tried this example on Linux and saw no
difference. What is causing over 40% difference in speed? I must be
doing something wrong in my java code.

#include<iostream>
#include<vector>
#include<cstdlib>
#include<algorithm>
#include<sys/time.h>
#include<numeric>
using namespace std;

template<class T>
void FillRand(T start, T end)
{
    while (start != end)
    {
       *start++ = double(rand())/RAND_MAX;
    }
}

class TimeStamp
{
public:
         void start()
         {
                 gettimeofday(&st_val,0);
         }
         void stop()
         {
                 gettimeofday(&end_val,0);
         }
         double elapsedSec() const
         {
                 return end_val.tv_sec-st_val.tv_sec +
                 (end_val.tv_usec-st_val.tv_usec)*1.e-6;
         }
private:
         timeval st_val;
         timeval end_val;
};

int main()
{
    vector<double> vec(1000000);
    const long num_itr = 10;
    vector<double> time_stamps(num_itr);
    TimeStamp ts;
    for (long i=0; i<num_itr; ++i)
    {
       FillRand(vec.begin(),vec.end());
       ts.start();
       std::sort(vec.begin(),vec.end());
       ts.stop();
       time_stamps[i] = ts.elapsedSec();
    }
    double avg=std::accumulate(time_stamps.begin(),time_stamps.end(),
0.0)/time_stamps.size();
    cout<< "To sort "<< vec.size()<< " elements took "<< avg<< "
seconds on average\n";
}


It does not sound surprising to me.

If we are using C terminology, then:
- in Java you have an array of pointers to double
- in C++ you have an array of double

It sounds very plausible that this will cause a performance
difference.

Use double[] in Java.

Or live with the performance.

Arne

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