Added benchmarking on larger matrices

java-math/src/test/java/com/baeldung/matrices/BigMatrixMultiplicationBenchmarking.java

@@ -0,0 +1,122 @@
+package com.baeldung.matrices;
+
+import cern.colt.matrix.DoubleFactory2D;
+import cern.colt.matrix.DoubleMatrix2D;
+import cern.colt.matrix.linalg.Algebra;
+import org.apache.commons.math3.linear.Array2DRowRealMatrix;
+import org.apache.commons.math3.linear.RealMatrix;
+import org.ejml.simple.SimpleMatrix;
+import org.la4j.Matrix;
+import org.la4j.matrix.dense.Basic2DMatrix;
+import org.nd4j.linalg.api.ndarray.INDArray;
+import org.nd4j.linalg.factory.Nd4j;
+import org.nd4j.linalg.factory.Nd4jBackend;
+import org.openjdk.jmh.annotations.Benchmark;
+import org.openjdk.jmh.annotations.Mode;
+import org.openjdk.jmh.runner.Runner;
+import org.openjdk.jmh.runner.options.ChainedOptionsBuilder;
+import org.openjdk.jmh.runner.options.Options;
+import org.openjdk.jmh.runner.options.OptionsBuilder;
+
+import java.util.Arrays;
+import java.util.Map;
+import java.util.concurrent.TimeUnit;
+import java.util.stream.Collectors;
+
+public class BigMatrixMultiplicationBenchmarking {
+    private static final int DEFAULT_FORKS = 2;
+    private static final int DEFAULT_WARMUP_ITERATIONS = 5;
+    private static final int DEFAULT_MEASUREMENT_ITERATIONS = 10;
+
+    public static void main(String[] args) throws Exception {
+        Map<String, String> parameters = parseParameters(args);
+
+        ChainedOptionsBuilder builder = new OptionsBuilder()
+          .include(BigMatrixMultiplicationBenchmarking.class.getSimpleName())
+          .mode(Mode.AverageTime)
+          .forks(forks(parameters))
+          .warmupIterations(warmupIterations(parameters))
+          .measurementIterations(measurementIterations(parameters))
+          .timeUnit(TimeUnit.SECONDS);
+
+        parameters.forEach(builder::param);
+
+        new Runner(builder.build()).run();
+    }
+
+    private static Map<String, String> parseParameters(String[] args) {
+        return Arrays.stream(args)
+          .map(arg -> arg.split("="))
+          .collect(Collectors.toMap(
+            arg -> arg[0],
+            arg -> arg[1]
+          ));
+    }
+
+    private static int forks(Map<String, String> parameters) {
+        String forks = parameters.remove("forks");
+        return parseOrDefault(forks, DEFAULT_FORKS);
+    }
+
+    private static int warmupIterations(Map<String, String> parameters) {
+        String warmups = parameters.remove("warmupIterations");
+        return parseOrDefault(warmups, DEFAULT_WARMUP_ITERATIONS);
+    }
+
+    private static int measurementIterations(Map<String, String> parameters) {
+        String measurements = parameters.remove("measurementIterations");
+        return parseOrDefault(measurements, DEFAULT_MEASUREMENT_ITERATIONS);
+    }
+
+    private static int parseOrDefault(String parameter, int defaultValue) {
+        return parameter != null ? Integer.parseInt(parameter) : defaultValue;
+    }
+
+    @Benchmark
+    public Object homemadeMatrixMultiplication(BigMatrixProvider matrixProvider) {
+        return HomemadeMatrix.multiplyMatrices(matrixProvider.getFirstMatrix(), matrixProvider.getSecondMatrix());
+    }
+
+    @Benchmark
+    public Object ejmlMatrixMultiplication(BigMatrixProvider matrixProvider) {
+        SimpleMatrix firstMatrix = new SimpleMatrix(matrixProvider.getFirstMatrix());
+        SimpleMatrix secondMatrix = new SimpleMatrix(matrixProvider.getSecondMatrix());
+
+        return firstMatrix.mult(secondMatrix);
+    }
+
+    @Benchmark
+    public Object apacheCommonsMatrixMultiplication(BigMatrixProvider matrixProvider) {
+        RealMatrix firstMatrix = new Array2DRowRealMatrix(matrixProvider.getFirstMatrix());
+        RealMatrix secondMatrix = new Array2DRowRealMatrix(matrixProvider.getSecondMatrix());
+
+        return firstMatrix.multiply(secondMatrix);
+    }
+
+    @Benchmark
+    public Object la4jMatrixMultiplication(BigMatrixProvider matrixProvider) {
+        Matrix firstMatrix = new Basic2DMatrix(matrixProvider.getFirstMatrix());
+        Matrix secondMatrix = new Basic2DMatrix(matrixProvider.getSecondMatrix());
+
+        return firstMatrix.multiply(secondMatrix);
+    }
+
+    @Benchmark
+    public Object nd4jMatrixMultiplication(BigMatrixProvider matrixProvider) {
+        INDArray firstMatrix = Nd4j.create(matrixProvider.getFirstMatrix());
+        INDArray secondMatrix = Nd4j.create(matrixProvider.getSecondMatrix());
+
+        return firstMatrix.mmul(secondMatrix);
+    }
+
+    @Benchmark
+    public Object coltMatrixMultiplication(BigMatrixProvider matrixProvider) {
+        DoubleFactory2D doubleFactory2D = DoubleFactory2D.dense;
+
+        DoubleMatrix2D firstMatrix = doubleFactory2D.make(matrixProvider.getFirstMatrix());
+        DoubleMatrix2D secondMatrix = doubleFactory2D.make(matrixProvider.getSecondMatrix());
+
+        Algebra algebra = new Algebra();
+        return algebra.mult(firstMatrix, secondMatrix);
+    }
+}

java-math/src/test/java/com/baeldung/matrices/BigMatrixProvider.java

@@ -0,0 +1,46 @@
+package com.baeldung.matrices;
+
+import org.openjdk.jmh.annotations.Param;
+import org.openjdk.jmh.annotations.Scope;
+import org.openjdk.jmh.annotations.Setup;
+import org.openjdk.jmh.annotations.State;
+import org.openjdk.jmh.infra.BenchmarkParams;
+
+import java.util.Random;
+import java.util.stream.DoubleStream;
+
+@State(Scope.Benchmark)
+public class BigMatrixProvider {
+    @Param({})
+    private int matrixSize;
+    private double[][] firstMatrix;
+    private double[][] secondMatrix;
+
+    public BigMatrixProvider() {}
+
+    @Setup
+    public void setup(BenchmarkParams parameters) {
+        firstMatrix = createMatrix(matrixSize);
+        secondMatrix = createMatrix(matrixSize);
+    }
+
+    private double[][] createMatrix(int matrixSize) {
+        Random random = new Random();
+
+        double[][] result = new double[matrixSize][matrixSize];
+        for (int row = 0; row < result.length; row++) {
+            for (int col = 0; col < result[row].length; col++) {
+                result[row][col] = random.nextDouble();
+            }
+        }
+        return result;
+    }
+
+    public double[][] getFirstMatrix() {
+        return firstMatrix;
+    }
+
+    public double[][] getSecondMatrix() {
+        return secondMatrix;
+    }
+}