I was benchmarking some code, and I could not get it to run as fast as with java.math.BigInteger
, even when using the exact same algorithm.
So I copied java.math.BigInteger
source into my own package and tried this:
//import java.math.BigInteger;
public class MultiplyTest {
public static void main(String[] args) {
Random r = new Random(1);
long tm = 0, count = 0,result=0;
for (int i = 0; i < 400000; i++) {
int s1 = 400, s2 = 400;
BigInteger a = new BigInteger(s1 * 8, r), b = new BigInteger(s2 * 8, r);
long tm1 = System.nanoTime();
BigInteger c = a.multiply(b);
if (i > 100000) {
tm += System.nanoTime() - tm1;
count++;
}
result+=c.bitLength();
}
System.out.println((tm / count) + "nsec/mul");
System.out.println(result);
}
}
When I run this (jdk 1.8.0_144-b01 on MacOS) it outputs:
12089nsec/mul
2559044166
When I run it with the import line uncommented:
4098nsec/mul
2559044166
It's almost three times as fast when using the JDK version of BigInteger versus my version, even if it's using the exact same code.
I've examined the bytecode with javap, and compared compiler output when running with options:
-Xbatch -XX:-TieredCompilation -XX:+PrintCompilation -XX:+UnlockDiagnosticVMOptions
-XX:+PrintInlining -XX:CICompilerCount=1
and both versions seem to generate the same code. So is hotspot using some precomputed optimisations that I can't use in my code? I always understood that they don't. What explains this difference?
Yes, HotSpot JVM is kind of "cheating", because it has a special version of some BigInteger
methods that you won't find in Java code. These methods are called JVM intrinsics.
In particular, BigInteger.multiplyToLen
is an instrinsic method in HotSpot. There is a special hand-coded assembly implementation in JVM source base, but only for x86-64 architecture.
You may disable this instrinsic with -XX:-UseMultiplyToLenIntrinsic
option to force JVM to use pure Java implementation. In this case the performance will be similar to the performance of your copied code.
P.S. Here is a list of other HotSpot intrinsic methods.