com.sun.electric.tool.util.concurrent.patterns.PReduceJob Maven / Gradle / Ivy
/* -*- tab-width: 4 -*-
*
* Electric(tm) VLSI Design System
*
* File: PJob.java
*
* Copyright (c) 2010, Oracle and/or its affiliates. All rights reserved.
*
* Electric(tm) 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.
*
* Electric(tm) 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 Electric(tm); see the file COPYING. If not, write to
* the Free Software Foundation, Inc., 59 Temple Place, Suite 330,
* Boston, Mass 02111-1307, USA.
*/
package com.sun.electric.tool.util.concurrent.patterns;
import java.util.concurrent.atomic.AtomicReference;
import com.sun.electric.tool.util.concurrent.utils.BlockedRange;
/**
* Parallel Reduce Job. Parallel reduce is a parallel for loop with a result
* aggregation at the end of the parallel execution.
*
* @author Felix Schmidt
*/
public class PReduceJob> extends PForJob {
// TODO use concurrent data structure
private AtomicReference> mainTask = new AtomicReference>(null);
private T result;
public PReduceJob(K range, PReduceTask task) {
super(range, task);
}
/**
* get the aggregated result
*
* @return
*/
public T getResult() {
return result;
}
/**
*
* @author Felix Schmidt
*/
public abstract static class PReduceTask> extends PForTask implements Cloneable {
/**
* reduce function. This function is called after the execution of the
* parallel for loop
*
* @param other
* @return
*/
public abstract T reduce(PReduceTask other);
/*
* (non-Javadoc)
*
* @see com.sun.electric.tool.util.concurrent.patterns.PTask#after()
*/
@SuppressWarnings("unchecked")
@Override
public void after() {
PReduceJob rjob = (PReduceJob) job;
rjob.mainTask.compareAndSet(null, this);
rjob.result = rjob.mainTask.get().reduce(this);
super.after();
}
}
}