Add benchmark for LocalExtrema

src/test/java/net/imglib2/algorithm/localextrema/LocalExtremaBenchmark.java

@@ -0,0 +1,62 @@
+package net.imglib2.algorithm.localextrema;
+
+import net.imglib2.Point;
+import net.imglib2.RandomAccessibleInterval;
+import net.imglib2.algorithm.neighborhood.RectangleShape;
+import net.imglib2.parallel.Parallelization;
+import net.imglib2.test.RandomImgs;
+import net.imglib2.type.numeric.integer.IntType;
+import net.imglib2.view.Views;
+import org.openjdk.jmh.annotations.Benchmark;
+import org.openjdk.jmh.annotations.BenchmarkMode;
+import org.openjdk.jmh.annotations.Fork;
+import org.openjdk.jmh.annotations.Measurement;
+import org.openjdk.jmh.annotations.Mode;
+import org.openjdk.jmh.annotations.Scope;
+import org.openjdk.jmh.annotations.State;
+import org.openjdk.jmh.annotations.Warmup;
+import org.openjdk.jmh.runner.Runner;
+import org.openjdk.jmh.runner.RunnerException;
+import org.openjdk.jmh.runner.options.Options;
+import org.openjdk.jmh.runner.options.OptionsBuilder;
+
+import java.util.List;
+import java.util.concurrent.ExecutionException;
+import java.util.concurrent.ExecutorService;
+import java.util.concurrent.Executors;
+import java.util.concurrent.ForkJoinPool;
+import java.util.concurrent.TimeUnit;
+import java.util.concurrent.atomic.AtomicLong;
+import java.util.stream.Collectors;
+import java.util.stream.LongStream;
+
+/**
+ * Demonstrates how to use {@link Parallelization} to execute a algorithm
+ * single threaded / multi threaded ....
+ * And shows the execution time.
+ */
+@Fork( 0 )
+@Warmup( iterations = 10, time = 200, timeUnit = TimeUnit.MILLISECONDS )
+@Measurement( iterations = 10, time = 200, timeUnit = TimeUnit.MILLISECONDS )
+@State( Scope.Benchmark )
+@BenchmarkMode( { Mode.AverageTime } )
+public class LocalExtremaBenchmark
+{
+
+	private final RandomAccessibleInterval< IntType > image = RandomImgs.seed( 42 ).nextImage( new IntType(), 100, 100, 100 );
+
+	@Benchmark
+	public List< Point > benchmark() throws ExecutionException, InterruptedException
+	{
+		LocalExtrema.LocalNeighborhoodCheck< Point, IntType > check = new LocalExtrema.MaximumCheck( new IntType( Integer.MIN_VALUE ));
+		return LocalExtrema.findLocalExtrema( image, check, new RectangleShape( 5, true ) );
+	}
+
+	public static void main( String... args ) throws RunnerException
+	{
+		Options options = new OptionsBuilder()
+				.include( LocalExtremaBenchmark.class.getName() )
+				.build();
+		new Runner( options ).run();
+	}
+}