/*
* Encog(tm) Examples v3.0 - Java Version
* http://www.heatonresearch.com/encog/
* http://code.google.com/p/encog-java/
* Copyright 2008-2011 Heaton Research, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package org.encog.examples.neural.benchmark;
import org.encog.mathutil.matrices.Matrix;
import org.encog.mathutil.matrices.MatrixMath;
public class MatrixBenchmark {
public static Matrix generateRandomMatrix(final int size) {
final Matrix result = new Matrix(size, size);
for (int row = 0; row < size; row++) {
for (int col = 0; col < size; col++) {
result.set(row, col, Math.random() * 100);
}
}
return result;
}
public static void main(final String args[]) {
long start, stop;
start = System.currentTimeMillis();
final Matrix a = MatrixBenchmark.generateRandomMatrix(500);
final Matrix b = MatrixBenchmark.generateRandomMatrix(500);
stop = System.currentTimeMillis();
System.out.println("Setup matrix: " + ((stop - start)) / 1000.0);
start = System.currentTimeMillis();
MatrixMath.multiply(a, b);
stop = System.currentTimeMillis();
System.out.println("Multiply matrix: " + ((stop - start)) / 1000.0);
}
}