/*
 * Zorbage: an algebraic data hierarchy for use in numeric processing.
 *
 * Copyright (c) 2016-2021 Barry DeZonia All rights reserved.
 * 
 * Redistribution and use in source and binary forms, with or without modification,
 * are permitted provided that the following conditions are met:
 * 
 * Redistributions of source code must retain the above copyright notice, this list
 * of conditions and the following disclaimer.
 * 
 * Redistributions in binary form must reproduce the above copyright notice, this
 * list of conditions and the following disclaimer in the documentation and/or other
 * materials provided with the distribution.
 * 
 * Neither the name of the <copyright holder> nor the names of its contributors may
 * be used to endorse or promote products derived from this software without specific
 * prior written permission.
 * 
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
 * IN NO EVENT SHALL <COPYRIGHT HOLDER> BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
 * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
 * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR
 * BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
 * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
 * ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH
 * DAMAGE.
 */
package nom.bdezonia.zorbage.algorithm;

import nom.bdezonia.zorbage.algorithm.corrconv.CorrelationIndexerND;
import nom.bdezonia.zorbage.algorithm.corrconv.ParallelConvND;
import nom.bdezonia.zorbage.data.DimensionedDataSource;
import nom.bdezonia.zorbage.algebra.Addition;
import nom.bdezonia.zorbage.algebra.Algebra;
import nom.bdezonia.zorbage.algebra.Multiplication;

/**
 * 
 * @author Barry DeZonia
 *
 */
public class ParallelCorrelateND {

	// do not instantiate
	
	private ParallelCorrelateND() { }
	
	/**
	 * Correlate an n-d {@link DimensionedDataSource} by a filter using
	 * a parallel algorithm which provides improved performance over a
	 * single threaded approach.
	 * 
	 * @param alg
	 * @param filter
	 * @param a
	 * @param b
	 */
	public static <T extends Algebra<T,U> & Addition<U> & Multiplication<U>, U>
		void compute(T alg, DimensionedDataSource<U> filter, DimensionedDataSource<U> a, DimensionedDataSource<U> b)
	{
		int numProcs = Runtime.getRuntime().availableProcessors();
		if (filter.rawData().accessWithOneThread() || a.rawData().accessWithOneThread() || b.rawData().accessWithOneThread())
			numProcs = 1;
		ParallelConvND.compute(alg, numProcs, new CorrelationIndexerND<U>(), filter, a, b);
	}
	
}

/*
 * Zorbage: an algebraic data hierarchy for use in numeric processing.
 *
 * Copyright (c) 2016-2021 Barry DeZonia All rights reserved.
 * 
 * Redistribution and use in source and binary forms, with or without modification,
 * are permitted provided that the following conditions are met:
 * 
 * Redistributions of source code must retain the above copyright notice, this list
 * of conditions and the following disclaimer.
 * 
 * Redistributions in binary form must reproduce the above copyright notice, this
 * list of conditions and the following disclaimer in the documentation and/or other
 * materials provided with the distribution.
 * 
 * Neither the name of the <copyright holder> nor the names of its contributors may
 * be used to endorse or promote products derived from this software without specific
 * prior written permission.
 * 
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
 * IN NO EVENT SHALL <COPYRIGHT HOLDER> BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
 * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
 * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR
 * BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
 * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
 * ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH
 * DAMAGE.
 */
package nom.bdezonia.zorbage.algorithm;

import nom.bdezonia.zorbage.algorithm.corrconv.CorrelationIndexerND;
import nom.bdezonia.zorbage.algorithm.corrconv.ParallelCorrND;
import nom.bdezonia.zorbage.data.DimensionedDataSource;
import nom.bdezonia.zorbage.algebra.Addition;
import nom.bdezonia.zorbage.algebra.Algebra;
import nom.bdezonia.zorbage.algebra.Conjugate;
import nom.bdezonia.zorbage.algebra.Multiplication;

/**
 * 
 * @author Barry DeZonia
 *
 */
public class ParallelCorrelateND {

	// do not instantiate
	
	private ParallelCorrelateND() { }
	
	/**
	 * Correlate an n-d {@link DimensionedDataSource} by a filter using
	 * a parallel algorithm which provides improved performance over a
	 * single threaded approach.
	 * 
	 * @param alg
	 * @param filter
	 * @param a
	 * @param b
	 */
	public static <T extends Algebra<T,U> & Addition<U> & Multiplication<U> & Conjugate<U>, U>
		void compute(T alg, DimensionedDataSource<U> filter, DimensionedDataSource<U> a, DimensionedDataSource<U> b)
	{
		int numProcs = Runtime.getRuntime().availableProcessors();
		if (filter.rawData().accessWithOneThread() || a.rawData().accessWithOneThread() || b.rawData().accessWithOneThread())
			numProcs = 1;
		ParallelCorrND.compute(alg, numProcs, new CorrelationIndexerND<U>(), filter, a, b);
	}
	
}

Fix an oversight in previous commit