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/*
* Copyright (c) 2011, 2014, Oracle and/or its affiliates. All rights reserved.
* DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
*
* This code is free software; you can redistribute it and/or modify it
* under the terms of the GNU General Public License version 2 only, as
* published by the Free Software Foundation.
*
* This code 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
* version 2 for more details (a copy is included in the LICENSE file that
* accompanied this code).
*
* You should have received a copy of the GNU General Public License version
* 2 along with this work; if not, write to the Free Software Foundation,
* Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
*
* Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
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*/
package org.graalvm.compiler.java;
import static org.graalvm.compiler.nodes.cfg.ControlFlowGraph.multiplyProbabilities;
import java.util.List;
import jdk.internal.vm.compiler.collections.EconomicMap;
import org.graalvm.compiler.nodes.AbstractBeginNode;
import org.graalvm.compiler.nodes.AbstractMergeNode;
import org.graalvm.compiler.nodes.ControlSplitNode;
import org.graalvm.compiler.nodes.FixedNode;
import org.graalvm.compiler.nodes.LoopBeginNode;
import org.graalvm.compiler.nodes.LoopExitNode;
import org.graalvm.compiler.nodes.StructuredGraph;
import org.graalvm.compiler.nodes.cfg.ControlFlowGraph;
import org.graalvm.compiler.phases.Phase;
import org.graalvm.compiler.phases.graph.ReentrantNodeIterator;
public final class ComputeLoopFrequenciesClosure extends ReentrantNodeIterator.NodeIteratorClosure<Double> {
private static final ComputeLoopFrequenciesClosure INSTANCE = new ComputeLoopFrequenciesClosure();
private ComputeLoopFrequenciesClosure() {
// nothing to do
}
@Override
protected Double processNode(FixedNode node, Double currentState) {
// normal nodes never change the probability of a path
return currentState;
}
@Override
protected Double merge(AbstractMergeNode merge, List<Double> states) {
// a merge has the sum of all predecessor probabilities
double result = 0.0;
for (double d : states) {
result += d;
}
return result;
}
@Override
protected Double afterSplit(AbstractBeginNode node, Double oldState) {
// a control split splits up the probability
ControlSplitNode split = (ControlSplitNode) node.predecessor();
return oldState * split.probability(node);
}
@Override
protected EconomicMap<LoopExitNode, Double> processLoop(LoopBeginNode loop, Double initialState) {
EconomicMap<LoopExitNode, Double> exitStates = ReentrantNodeIterator.processLoop(this, loop, 1D).exitStates;
double exitProbability = 0.0;
for (double d : exitStates.getValues()) {
exitProbability += d;
}
exitProbability = Math.min(1.0, exitProbability);
exitProbability = Math.max(ControlFlowGraph.MIN_PROBABILITY, exitProbability);
double loopFrequency = 1.0 / exitProbability;
loop.setLoopFrequency(loopFrequency);
double adjustmentFactor = initialState * loopFrequency;
exitStates.replaceAll((exitNode, probability) -> multiplyProbabilities(probability, adjustmentFactor));
return exitStates;
}
/**
* Computes the frequencies of all loops in the given graph. This is done by performing a
* reverse postorder iteration and computing the probability of all fixed nodes. The combined
* probability of all exits of a loop can be used to compute the loop's expected frequency.
*/
public static void compute(StructuredGraph graph) {
if (graph.hasLoops()) {
ReentrantNodeIterator.apply(INSTANCE, graph.start(), 1D);
}
}
public static class ComputeLoopFrequencyPhase extends Phase {
@Override
protected void run(StructuredGraph graph) {
compute(graph);
}
}
public static final ComputeLoopFrequencyPhase PHASE_INSTANCE = new ComputeLoopFrequencyPhase();
}