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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you 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.
*/
package org.apache.sysds.runtime.controlprogram.parfor;
import org.apache.sysds.hops.OptimizerUtils;
import org.apache.sysds.runtime.controlprogram.caching.MatrixObject;
import org.apache.sysds.runtime.controlprogram.parfor.opt.OptimizerRuleBased;
import org.apache.sysds.runtime.controlprogram.parfor.stat.Timing;
import org.apache.sysds.runtime.meta.DataCharacteristics;
public class ResultMergeLocalAutomatic extends ResultMerge
{
private static final long serialVersionUID = 1600893100602101732L;
private ResultMerge _rm = null;
public ResultMergeLocalAutomatic( MatrixObject out, MatrixObject[] in, String outputFilename, boolean accum ) {
super( out, in, outputFilename, accum );
}
@Override
public MatrixObject executeSerialMerge() {
Timing time = new Timing(true);
DataCharacteristics dc = _output.getDataCharacteristics();
long rows = dc.getRows();
long cols = dc.getCols();
if( OptimizerRuleBased.isInMemoryResultMerge(rows, cols, OptimizerUtils.getLocalMemBudget()) )
_rm = new ResultMergeLocalMemory( _output, _inputs, _outputFName, _isAccum );
else
_rm = new ResultMergeLocalFile( _output, _inputs, _outputFName, _isAccum );
MatrixObject ret = _rm.executeSerialMerge();
LOG.trace("Automatic result merge ("+_rm.getClass().getName()+") executed in "+time.stop()+"ms.");
return ret;
}
@Override
public MatrixObject executeParallelMerge(int par) {
DataCharacteristics dc = _output.getDataCharacteristics();
long rows = dc.getRows();
long cols = dc.getCols();
if( OptimizerRuleBased.isInMemoryResultMerge(par * rows, cols, OptimizerUtils.getLocalMemBudget()) )
_rm = new ResultMergeLocalMemory( _output, _inputs, _outputFName, _isAccum );
else
_rm = new ResultMergeLocalFile( _output, _inputs, _outputFName, _isAccum );
return _rm.executeParallelMerge(par);
}
}