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Java Long Perfomance on 64-bit JVM

I'm interested what is the performance of many Long variables when they are used on 4-bit JVM deployed on x86-64 server? Is there any big difference if I use the same Integers on the same server?

My environment:

$ java -version
java version "1.7.0_07"
Java(TM) SE Runtime Environment (build 1.7.0_07-b10)
Java HotSpot(TM) 64-Bit Server VM (build 23.3-b01, mixed mode)

This is the code I ran just now:

import com.google.caliper.Runner;
import com.google.caliper.SimpleBenchmark;

public class Performance extends SimpleBenchmark {
  static final Random rnd = new Random();
  static long iters = 100_000_000 + rnd.nextInt(10_000_000);

  public long timeLong(int reps) {
    long sum = rnd.nextLong();
    for (int rep = 0; rep < reps; rep++)
      for (long l = 0; l < iters; l++) sum ^= l;
    return sum;
  }
  public int timeInt(int reps) {
    int sum = rnd.nextInt();
    int iters = (int) Performance.iters;
    for (int rep = 0; rep < reps; rep++)
      for (int l = 0; l < iters; l++) sum ^= l;
    return sum;
  }

  public static void main(String... args) {
    Runner.main(Performance.class, args);
  }
}

And these are the results;

 0% Scenario{vm=java, trial=0, benchmark=Long} 105721736.11 ns; σ=1752926.46 ns @ 10 trials
50% Scenario{vm=java, trial=0, benchmark=Int} 71749350.00 ns; σ=188518.06 ns @ 3 trials

benchmark    ms linear runtime
     Long 105.7 ==============================
      Int  71.7 ====================

If you replace ^= with += , the difference is even wider:

benchmark    ms linear runtime
     Long 109.1 ==============================
      Int  53.8 ==============

This may mean that XOR itself is equally fast, but ADD is twice slower.

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