package micro.benchmarks;
import java.util.Random;
import org.openjdk.jmh.annotations.Benchmark;
import org.openjdk.jmh.annotations.Scope;
import org.openjdk.jmh.annotations.State;
import org.openjdk.jmh.annotations.Warmup;
import org.graalvm.compiler.microbenchmarks.graal.GraalBenchmark;
public class MathFunctionBenchmark extends GraalBenchmark {
@State(Scope.Benchmark)
public static class ThreadState {
double[] data = randomDoubles(100);
double[] result = new double[100];
static double[] randomDoubles(int len) {
double[] data = new double[len];
Random r = new Random();
for (int i = 0; i < data.length; i++) {
data[i] = r.nextDouble();
}
return data;
}
}
@Benchmark
@Warmup(iterations = 5)
public void mathLog(ThreadState state) {
double[] data = state.data;
for (int i = 0; i < data.length; i++) {
double[] result = state.result;
result[i] = Math.log(data[i]);
}
}
@Benchmark
@Warmup(iterations = 5)
public void mathLog10(ThreadState state) {
double[] data = state.data;
for (int i = 0; i < data.length; i++) {
double[] result = state.result;
result[i] = Math.log10(data[i]);
}
}
@Benchmark
@Warmup(iterations = 5)
public void mathSin(ThreadState state) {
double[] data = state.data;
for (int i = 0; i < data.length; i++) {
double[] result = state.result;
result[i] = Math.sin(data[i]);
}
}
@Benchmark
@Warmup(iterations = 5)
public void mathCos(ThreadState state) {
double[] data = state.data;
for (int i = 0; i < data.length; i++) {
double[] result = state.result;
result[i] = Math.cos(data[i]);
}
}
@Benchmark
@Warmup(iterations = 5)
public void mathTan(ThreadState state) {
double[] data = state.data;
for (int i = 0; i < data.length; i++) {
double[] result = state.result;
result[i] = Math.tan(data[i]);
}
}
}