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org.ujmp.parallelcolt.benchmark.ParallelColtDenseDoubleMatrix2DBenchmark Maven / Gradle / Ivy
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Plugin to incorporate dense and sparse matrix classes from ParallelColt
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/*
* Copyright (C) 2008-2015 by Holger Arndt
*
* This file is part of the Universal Java Matrix Package (UJMP).
* See the NOTICE file distributed with this work for additional
* information regarding copyright ownership and licensing.
*
* UJMP is free software; you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as
* published by the Free Software Foundation; either version 2
* of the License, or (at your option) any later version.
*
* UJMP is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with UJMP; if not, write to the
* Free Software Foundation, Inc., 51 Franklin St, Fifth Floor,
* Boston, MA 02110-1301 USA
*/
package org.ujmp.parallelcolt.benchmark;
import org.ujmp.core.Matrix;
import org.ujmp.core.benchmark.AbstractMatrix2DBenchmark;
import org.ujmp.core.benchmark.MatrixBenchmark;
import org.ujmp.core.doublematrix.DoubleMatrix2D;
import org.ujmp.core.util.MathUtil;
import org.ujmp.parallelcolt.ParallelColtDenseDoubleMatrix2D;
public class ParallelColtDenseDoubleMatrix2DBenchmark extends AbstractMatrix2DBenchmark {
public DoubleMatrix2D createMatrix(long... size) {
return new ParallelColtDenseDoubleMatrix2D(MathUtil.longToInt(size[Matrix.ROW]),
MathUtil.longToInt(size[Matrix.COLUMN]));
}
public DoubleMatrix2D createMatrix(Matrix source) {
return new ParallelColtDenseDoubleMatrix2D(source);
}
public static void main(String[] args) throws Exception {
MatrixBenchmark benchmark = new ParallelColtDenseDoubleMatrix2DBenchmark();
benchmark.run();
}
}
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