1 /*
   2  * Copyright (c) 2012, 2016, Oracle and/or its affiliates. All rights reserved.
   3  * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
   4  *
   5  * This code is free software; you can redistribute it and/or modify it
   6  * under the terms of the GNU General Public License version 2 only, as
   7  * published by the Free Software Foundation.
   8  *
   9  * This code is distributed in the hope that it will be useful, but WITHOUT
  10  * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
  11  * FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License
  12  * version 2 for more details (a copy is included in the LICENSE file that
  13  * accompanied this code).
  14  *
  15  * You should have received a copy of the GNU General Public License version
  16  * 2 along with this work; if not, write to the Free Software Foundation,
  17  * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
  18  *
  19  * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
  20  * or visit www.oracle.com if you need additional information or have any
  21  * questions.
  22  */
  23 package org.graalvm.compiler.loop;
  24 
  25 import static org.graalvm.compiler.core.common.GraalOptions.LoopMaxUnswitch;
  26 import static org.graalvm.compiler.core.common.GraalOptions.MaximumDesiredSize;
  27 import static org.graalvm.compiler.core.common.GraalOptions.MinimumPeelProbability;
  28 
  29 import java.util.List;
  30 
  31 import org.graalvm.compiler.debug.CounterKey;
  32 import org.graalvm.compiler.debug.DebugContext;
  33 import org.graalvm.compiler.graph.Node;
  34 import org.graalvm.compiler.graph.NodeBitMap;
  35 import org.graalvm.compiler.nodes.AbstractBeginNode;
  36 import org.graalvm.compiler.nodes.ControlSplitNode;
  37 import org.graalvm.compiler.nodes.DeoptimizeNode;
  38 import org.graalvm.compiler.nodes.FixedNode;
  39 import org.graalvm.compiler.nodes.FixedWithNextNode;
  40 import org.graalvm.compiler.nodes.InvokeNode;
  41 import org.graalvm.compiler.nodes.LoopBeginNode;
  42 import org.graalvm.compiler.nodes.MergeNode;
  43 import org.graalvm.compiler.nodes.StructuredGraph;
  44 import org.graalvm.compiler.nodes.VirtualState;
  45 import org.graalvm.compiler.nodes.VirtualState.VirtualClosure;
  46 import org.graalvm.compiler.nodes.cfg.Block;
  47 import org.graalvm.compiler.nodes.cfg.ControlFlowGraph;
  48 import org.graalvm.compiler.nodes.debug.ControlFlowAnchorNode;
  49 import org.graalvm.compiler.nodes.java.TypeSwitchNode;
  50 import org.graalvm.compiler.options.Option;
  51 import org.graalvm.compiler.options.OptionKey;
  52 import org.graalvm.compiler.options.OptionType;
  53 import org.graalvm.compiler.options.OptionValues;
  54 
  55 import jdk.vm.ci.meta.MetaAccessProvider;
  56 
  57 public class DefaultLoopPolicies implements LoopPolicies {
  58     @Option(help = "", type = OptionType.Expert) public static final OptionKey<Integer> LoopUnswitchMaxIncrease = new OptionKey<>(500);
  59     @Option(help = "", type = OptionType.Expert) public static final OptionKey<Integer> LoopUnswitchTrivial = new OptionKey<>(10);
  60     @Option(help = "", type = OptionType.Expert) public static final OptionKey<Double> LoopUnswitchFrequencyBoost = new OptionKey<>(10.0);
  61 
  62     @Option(help = "", type = OptionType.Expert) public static final OptionKey<Integer> FullUnrollMaxNodes = new OptionKey<>(300);
  63     @Option(help = "", type = OptionType.Expert) public static final OptionKey<Integer> FullUnrollMaxIterations = new OptionKey<>(600);
  64     @Option(help = "", type = OptionType.Expert) public static final OptionKey<Integer> ExactFullUnrollMaxNodes = new OptionKey<>(1200);
  65     @Option(help = "", type = OptionType.Expert) public static final OptionKey<Integer> ExactPartialUnrollMaxNodes = new OptionKey<>(200);
  66 
  67     @Option(help = "", type = OptionType.Expert) public static final OptionKey<Integer> UnrollMaxIterations = new OptionKey<>(16);
  68 
  69     @Override
  70     public boolean shouldPeel(LoopEx loop, ControlFlowGraph cfg, MetaAccessProvider metaAccess) {
  71         LoopBeginNode loopBegin = loop.loopBegin();
  72         double entryProbability = cfg.blockFor(loopBegin.forwardEnd()).probability();
  73         OptionValues options = cfg.graph.getOptions();
  74         if (entryProbability > MinimumPeelProbability.getValue(options) && loop.size() + loopBegin.graph().getNodeCount() < MaximumDesiredSize.getValue(options)) {
  75             // check whether we're allowed to peel this loop
  76             return loop.canDuplicateLoop();
  77         } else {
  78             return false;
  79         }
  80     }
  81 
  82     @Override
  83     public boolean shouldFullUnroll(LoopEx loop) {
  84         if (!loop.isCounted() || !loop.counted().isConstantMaxTripCount()) {
  85             return false;
  86         }
  87         OptionValues options = loop.entryPoint().getOptions();
  88         CountedLoopInfo counted = loop.counted();
  89         long maxTrips = counted.constantMaxTripCount();
  90         int maxNodes = (counted.isExactTripCount() && counted.isConstantExactTripCount()) ? ExactFullUnrollMaxNodes.getValue(options) : FullUnrollMaxNodes.getValue(options);
  91         maxNodes = Math.min(maxNodes, Math.max(0, MaximumDesiredSize.getValue(options) - loop.loopBegin().graph().getNodeCount()));
  92         int size = Math.max(1, loop.size() - 1 - loop.loopBegin().phis().count());
  93         if (maxTrips <= FullUnrollMaxIterations.getValue(options) && size * (maxTrips - 1) <= maxNodes) {
  94             // check whether we're allowed to unroll this loop
  95             return loop.canDuplicateLoop();
  96         } else {
  97             return false;
  98         }
  99     }
 100 
 101     @Override
 102     public boolean shouldPartiallyUnroll(LoopEx loop) {
 103         LoopBeginNode loopBegin = loop.loopBegin();
 104         if (!loop.isCounted()) {
 105             loopBegin.getDebug().log(DebugContext.VERBOSE_LEVEL, "shouldPartiallyUnroll %s isn't counted", loopBegin);
 106             return false;
 107         }
 108         OptionValues options = loop.entryPoint().getOptions();
 109         int maxNodes = ExactPartialUnrollMaxNodes.getValue(options);
 110         maxNodes = Math.min(maxNodes, Math.max(0, MaximumDesiredSize.getValue(options) - loop.loopBegin().graph().getNodeCount()));
 111         int size = Math.max(1, loop.size() - 1 - loop.loopBegin().phis().count());
 112         int unrollFactor = loopBegin.getUnrollFactor();
 113         if (unrollFactor == 1) {
 114             double loopFrequency = loopBegin.loopFrequency();
 115             if (loopBegin.isSimpleLoop() && loopFrequency < 5.0) {
 116                 loopBegin.getDebug().log(DebugContext.VERBOSE_LEVEL, "shouldPartiallyUnroll %s frequency too low %s ", loopBegin, loopFrequency);
 117                 return false;
 118             }
 119             loopBegin.setLoopOrigFrequency(loopFrequency);
 120         }
 121         int maxUnroll = UnrollMaxIterations.getValue(options);
 122         // Now correct size for the next unroll. UnrollMaxIterations == 1 means perform the
 123         // pre/main/post transformation but don't actually unroll the main loop.
 124         size += size;
 125         if (maxUnroll == 1 && loopBegin.isSimpleLoop() || size <= maxNodes && unrollFactor < maxUnroll) {
 126             // Will the next unroll fit?
 127             if ((int) loopBegin.loopOrigFrequency() < (unrollFactor * 2)) {
 128                 return false;
 129             }
 130             // Check whether we're allowed to unroll this loop
 131             for (Node node : loop.inside().nodes()) {
 132                 if (node instanceof ControlFlowAnchorNode) {
 133                     return false;
 134                 }
 135                 if (node instanceof InvokeNode) {
 136                     return false;
 137                 }
 138             }
 139             return true;
 140         } else {
 141             loopBegin.getDebug().log(DebugContext.VERBOSE_LEVEL, "shouldPartiallyUnroll %s unrolled loop is too large %s ", loopBegin, size);
 142             return false;
 143         }
 144     }
 145 
 146     @Override
 147     public boolean shouldTryUnswitch(LoopEx loop) {
 148         LoopBeginNode loopBegin = loop.loopBegin();
 149         double loopFrequency = loopBegin.loopFrequency();
 150         if (loopFrequency <= 1.0) {
 151             return false;
 152         }
 153         OptionValues options = loop.entryPoint().getOptions();
 154         return loopBegin.unswitches() <= LoopMaxUnswitch.getValue(options);
 155     }
 156 
 157     private static final class CountingClosure implements VirtualClosure {
 158         int count;
 159 
 160         @Override
 161         public void apply(VirtualState node) {
 162             count++;
 163         }
 164     }
 165 
 166     private static class IsolatedInitialization {
 167         static final CounterKey UNSWITCH_SPLIT_WITH_PHIS = DebugContext.counter("UnswitchSplitWithPhis");
 168     }
 169 
 170     @Override
 171     public boolean shouldUnswitch(LoopEx loop, List<ControlSplitNode> controlSplits) {
 172         int phis = 0;
 173         StructuredGraph graph = loop.loopBegin().graph();
 174         DebugContext debug = graph.getDebug();
 175         NodeBitMap branchNodes = graph.createNodeBitMap();
 176         for (ControlSplitNode controlSplit : controlSplits) {
 177             for (Node successor : controlSplit.successors()) {
 178                 AbstractBeginNode branch = (AbstractBeginNode) successor;
 179                 // this may count twice because of fall-through in switches
 180                 loop.nodesInLoopBranch(branchNodes, branch);
 181             }
 182             Block postDomBlock = loop.loopsData().getCFG().blockFor(controlSplit).getPostdominator();
 183             if (postDomBlock != null) {
 184                 IsolatedInitialization.UNSWITCH_SPLIT_WITH_PHIS.increment(debug);
 185                 phis += ((MergeNode) postDomBlock.getBeginNode()).phis().count();
 186             }
 187         }
 188         int inBranchTotal = branchNodes.count();
 189 
 190         CountingClosure stateNodesCount = new CountingClosure();
 191         double loopFrequency = loop.loopBegin().loopFrequency();
 192         OptionValues options = loop.loopBegin().getOptions();
 193         int maxDiff = LoopUnswitchTrivial.getValue(options) + (int) (LoopUnswitchFrequencyBoost.getValue(options) * (loopFrequency - 1.0 + phis));
 194 
 195         maxDiff = Math.min(maxDiff, LoopUnswitchMaxIncrease.getValue(options));
 196         int remainingGraphSpace = MaximumDesiredSize.getValue(options) - graph.getNodeCount();
 197         maxDiff = Math.min(maxDiff, remainingGraphSpace);
 198 
 199         loop.loopBegin().stateAfter().applyToVirtual(stateNodesCount);
 200         int loopTotal = loop.size() - loop.loopBegin().phis().count() - stateNodesCount.count - 1;
 201         int actualDiff = (loopTotal - inBranchTotal);
 202         ControlSplitNode firstSplit = controlSplits.get(0);
 203         if (firstSplit instanceof TypeSwitchNode) {
 204             int copies = firstSplit.successors().count() - 1;
 205             for (Node succ : firstSplit.successors()) {
 206                 FixedNode current = (FixedNode) succ;
 207                 while (current instanceof FixedWithNextNode) {
 208                     current = ((FixedWithNextNode) current).next();
 209                 }
 210                 if (current instanceof DeoptimizeNode) {
 211                     copies--;
 212                 }
 213             }
 214             actualDiff = actualDiff * copies;
 215         }
 216 
 217         debug.log("shouldUnswitch(%s, %s) : delta=%d (%.2f%% inside of branches), max=%d, f=%.2f, phis=%d -> %b", loop, controlSplits, actualDiff, (double) (inBranchTotal) / loopTotal * 100, maxDiff,
 218                         loopFrequency, phis, actualDiff <= maxDiff);
 219         if (actualDiff <= maxDiff) {
 220             // check whether we're allowed to unswitch this loop
 221             return loop.canDuplicateLoop();
 222         } else {
 223             return false;
 224         }
 225     }
 226 
 227 }