/**
This file is part of JkernelMachines.
JkernelMachines is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
JkernelMachines 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 General Public License for more details.
You should have received a copy of the GNU General Public License
along with JkernelMachines. If not, see <http://www.gnu.org/licenses/>.
Copyright David Picard - 2010
*/
package fr.lip6.jkernelmachines.threading;
import java.util.LinkedList;
import java.util.Queue;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.Future;
import java.util.concurrent.ThreadPoolExecutor;
/**
* Utility for the parallelization of vector operations.
* @author picard
*
*/
public abstract class ThreadedVectorOperator {
/**
* get the parallelized vector
* @param vector double[] instance on which to do the processing
* @return resulting vector.
*/
public double[] getVector(final double[] vector)
{
try
{
//one job per line of the matrix
ThreadPoolExecutor threadPool = ThreadPoolServer.getThreadPoolExecutor();
Queue<Future<?>> futures = new LinkedList<Future<?>>();
int nbcpu = Runtime.getRuntime().availableProcessors();
int increm = vector.length / nbcpu + 1;
for(int i = 0 ; i < vector.length ; i += increm)
{
final int min = i;
final int max = Math.min(vector.length, i+increm);
Runnable r = new Runnable(){
@Override
public void run() {
doBlock(min, max, vector);
}
};
futures.add(threadPool.submit(r));
}
//wait for all jobs
while(!futures.isEmpty())
futures.remove().get();
ThreadPoolServer.shutdownNow(threadPool);
return vector;
} catch (InterruptedException e) {
System.err.println("MatrixWorkerFactory : getMatrix impossible");
e.printStackTrace();
return null;
} catch (ExecutionException e) {
System.err.println("MatrixWorkerFactory : Exception in execution, matrix unavailable.");
e.printStackTrace();
return null;
}
}
public abstract void doBlock(int min, int max, final double[] vector);
}