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Declarative Machine Learning
/*
* 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.sysml.yarn.ropt;
import org.apache.sysml.conf.ConfigurationManager;
import org.apache.sysml.hops.OptimizerUtils;
public class YarnOptimizerUtils
{
public enum GridEnumType{
EQUI_GRID,
EXP_GRID,
MEM_EQUI_GRID,
HYBRID_MEM_EXP_GRID,
}
/**
*
* @return
*/
public static double getRemoteMemBudgetMap(long jobLookupId)
{
return getRemoteMemBudgetMap(false, jobLookupId);
}
/**
*
* @return
*/
public static double getRemoteMemBudgetMap(boolean substractSortBuffer, long jobLookupId)
{
double ret = YarnClusterAnalyzer.getRemoteMaxMemoryMap(jobLookupId);
if( substractSortBuffer )
ret -= YarnClusterAnalyzer.getRemoteMaxMemorySortBuffer();
return ret * OptimizerUtils.MEM_UTIL_FACTOR;
}
/**
*
* @return
*/
public static double getRemoteMemBudgetReduce(long jobLookupId)
{
double ret = YarnClusterAnalyzer.getRemoteMaxMemoryReduce(jobLookupId);
return ret * OptimizerUtils.MEM_UTIL_FACTOR;
}
/**
* Returns the number of reducers that potentially run in parallel.
* This is either just the configured value (SystemML config) or
* the minimum of configured value and available reduce slots.
*
* @param configOnly
* @return
*/
public static int getNumReducers(boolean configOnly, long jobLookupId)
{
int ret = ConfigurationManager.getNumReducers();
if( !configOnly )
ret = Math.min(ret,YarnClusterAnalyzer.getRemoteParallelReduceTasks(jobLookupId));
return ret;
}
/**
*
* @param mb
* @return
*/
public static long toB( long mb )
{
return 1024 * 1024 * mb;
}
/**
*
* @param b
* @return
*/
public static long toMB( long b )
{
return b / (1024 * 1024);
}
/**
*
* @param minAlloc
* @param maxAlloc
* @param numCores
* @return
*/
public static long computeMinContraint( long minAlloc, long maxAlloc, long numCores )
{
return ((long)(Math.max(minAlloc, maxAlloc/numCores )/minAlloc)*minAlloc);
}
}