edu.mit.streamjit.impl.compiler2.SubsetAllocationStrategy.java Source code

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/*
 * Copyright (c) 2013-2014 Massachusetts Institute of Technology
 *
 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to deal
 * in the Software without restriction, including without limitation the rights
 * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 * copies of the Software, and to permit persons to whom the Software is
 * furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in
 * all copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
 * THE SOFTWARE.
 */
package edu.mit.streamjit.impl.compiler2;

import com.google.common.collect.ImmutableList;
import com.google.common.collect.Range;
import edu.mit.streamjit.api.Worker;
import edu.mit.streamjit.impl.common.Configuration;
import edu.mit.streamjit.impl.common.Workers;
import java.util.ArrayList;
import java.util.List;
import java.util.Set;

/**
 * An AllocationStrategy using two parameters per worker: a core count and an
 * ordered list (permutation) of cores to assign to, effectively naming a subset
 * of the cores (but note there are more permutations than subsets).  The group
 * is then divided equally among those cores.
 *
 * This strategy was Jason Ansel's idea, briefly expressed in a conference call.
 * @author Jeffrey Bosboom <jbosboom@csail.mit.edu>
 * @since 3/2/2014
 */
public class SubsetAllocationStrategy implements AllocationStrategy {
    private final int maxNumCores;

    public SubsetAllocationStrategy(int maxNumCores) {
        this.maxNumCores = maxNumCores;
    }

    @Override
    public int maxNumCores() {
        return maxNumCores;
    }

    @Override
    public void makeParameters(Set<Worker<?, ?>> workers, Configuration.Builder builder) {
        ImmutableList.Builder<Integer> universeBuilder = ImmutableList.builder();
        for (int i = 0; i < maxNumCores(); ++i)
            universeBuilder.add(i);
        ImmutableList<Integer> universe = universeBuilder.build();

        for (Worker<?, ?> w : workers) {
            int id = Workers.getIdentifier(w);
            builder.addParameter(
                    new Configuration.IntParameter("Group" + id + "CoreCount", 1, maxNumCores(), maxNumCores()));
            builder.addParameter(
                    new Configuration.PermutationParameter<>("Group" + id + "CoreOrder", Integer.class, universe));
        }
    }

    @Override
    public void allocateGroup(ActorGroup group, Range<Integer> iterations, List<Core> cores, Configuration config) {
        int id = group.id();
        int numCores = config.getParameter("Group" + id + "CoreCount", Configuration.IntParameter.class).getValue();
        Configuration.PermutationParameter<Integer> coreOrderParam = config.getParameter("Group" + id + "CoreOrder",
                Configuration.PermutationParameter.class, Integer.class);
        ImmutableList<? extends Integer> coreOrder = coreOrderParam.getUniverse();

        List<Core> subset = new ArrayList<Core>(numCores);
        for (int i = 0; i < coreOrder.size() && subset.size() < numCores; ++i)
            if (coreOrder.get(i) < cores.size())
                subset.add(cores.get(coreOrder.get(i)));
        //We pass a null config to ensure it doesn't depend on the config.
        new FullDataParallelAllocationStrategy(numCores).allocateGroup(group, iterations, cores, null);
    }
}