lib/CodeGen/MachineBlockPlacement.cpp

//===-- MachineBlockPlacement.cpp - Basic Block Code Layout optimization --===//
//
//                     The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
//
// This file implements basic block placement transformations using the CFG
// structure and branch probability estimates.
//
// The pass strives to preserve the structure of the CFG (that is, retain
// a topological ordering of basic blocks) in the absense of a *strong* signal
// to the contrary from probabilities. However, within the CFG structure, it
// attempts to choose an ordering which favors placing more likely sequences of
// blocks adjacent to each other.
//
// The algorithm works from the inner-most loop within a function outward, and
// at each stage walks through the basic blocks, trying to coalesce them into
// sequential chains where allowed by the CFG (or demanded by heavy
// probabilities). Finally, it walks the blocks in topological order, and the
// first time it reaches a chain of basic blocks, it schedules them in the
// function in-order.
//
//===----------------------------------------------------------------------===//

#define DEBUG_TYPE "block-placement2"
#include "llvm/CodeGen/MachineBasicBlock.h"
#include "llvm/CodeGen/MachineBlockFrequencyInfo.h"
#include "llvm/CodeGen/MachineBranchProbabilityInfo.h"
#include "llvm/CodeGen/MachineFunction.h"
#include "llvm/CodeGen/MachineFunctionPass.h"
#include "llvm/CodeGen/MachineLoopInfo.h"
#include "llvm/CodeGen/MachineModuleInfo.h"
#include "llvm/CodeGen/Passes.h"
#include "llvm/Support/Allocator.h"
#include "llvm/Support/Debug.h"
#include "llvm/Support/ErrorHandling.h"
#include "llvm/ADT/DenseMap.h"
#include "llvm/ADT/PostOrderIterator.h"
#include "llvm/ADT/SCCIterator.h"
#include "llvm/ADT/SmallPtrSet.h"
#include "llvm/ADT/SmallVector.h"
#include "llvm/ADT/Statistic.h"
#include "llvm/Target/TargetInstrInfo.h"
#include "llvm/Target/TargetLowering.h"
#include <algorithm>
using namespace llvm;

STATISTIC(NumCondBranches, "Number of conditional branches");
STATISTIC(NumUncondBranches, "Number of uncondittional branches");
STATISTIC(CondBranchTakenFreq,
          "Potential frequency of taking conditional branches");
STATISTIC(UncondBranchTakenFreq,
          "Potential frequency of taking unconditional branches");

namespace {
/// \brief A structure for storing a weighted edge.
///
/// This stores an edge and its weight, computed as the product of the
/// frequency that the starting block is entered with the probability of
/// a particular exit block.
struct WeightedEdge {
  BlockFrequency EdgeFrequency;
  MachineBasicBlock *From, *To;

  bool operator<(const WeightedEdge &RHS) const {
    return EdgeFrequency < RHS.EdgeFrequency;
  }
};
}

namespace {
class BlockChain;
/// \brief Type for our function-wide basic block -> block chain mapping.
typedef DenseMap<MachineBasicBlock *, BlockChain *> BlockToChainMapType;
}

namespace {
/// \brief A chain of blocks which will be laid out contiguously.
///
/// This is the datastructure representing a chain of consecutive blocks that
/// are profitable to layout together in order to maximize fallthrough
/// probabilities. We also can use a block chain to represent a sequence of
/// basic blocks which have some external (correctness) requirement for
/// sequential layout.
///
/// Eventually, the block chains will form a directed graph over the function.
/// We provide an SCC-supporting-iterator in order to quicky build and walk the
/// SCCs of block chains within a function.
///
/// The block chains also have support for calculating and caching probability
/// information related to the chain itself versus other chains. This is used
/// for ranking during the final layout of block chains.
class BlockChain {
  /// \brief The sequence of blocks belonging to this chain.
  ///
  /// This is the sequence of blocks for a particular chain. These will be laid
  /// out in-order within the function.
  SmallVector<MachineBasicBlock *, 4> Blocks;

  /// \brief A handle to the function-wide basic block to block chain mapping.
  ///
  /// This is retained in each block chain to simplify the computation of child
  /// block chains for SCC-formation and iteration. We store the edges to child
  /// basic blocks, and map them back to their associated chains using this
  /// structure.
  BlockToChainMapType &BlockToChain;

public:
  /// \brief Construct a new BlockChain.
  ///
  /// This builds a new block chain representing a single basic block in the
  /// function. It also registers itself as the chain that block participates
  /// in with the BlockToChain mapping.
  BlockChain(BlockToChainMapType &BlockToChain, MachineBasicBlock *BB)
    : Blocks(1, BB), BlockToChain(BlockToChain), LoopPredecessors(0) {
    assert(BB && "Cannot create a chain with a null basic block");
    BlockToChain[BB] = this;
  }

  /// \brief Iterator over blocks within the chain.
  typedef SmallVectorImpl<MachineBasicBlock *>::const_iterator iterator;

  /// \brief Beginning of blocks within the chain.
  iterator begin() const { return Blocks.begin(); }

  /// \brief End of blocks within the chain.
  iterator end() const { return Blocks.end(); }

  /// \brief Merge a block chain into this one.
  ///
  /// This routine merges a block chain into this one. It takes care of forming
  /// a contiguous sequence of basic blocks, updating the edge list, and
  /// updating the block -> chain mapping. It does not free or tear down the
  /// old chain, but the old chain's block list is no longer valid.
  void merge(MachineBasicBlock *BB, BlockChain *Chain) {
    assert(BB);
    assert(!Blocks.empty());

    // Fast path in case we don't have a chain already.
    if (!Chain) {
      assert(!BlockToChain[BB]);
      Blocks.push_back(BB);
      BlockToChain[BB] = this;
      return;
    }

    assert(BB == *Chain->begin());
    assert(Chain->begin() != Chain->end());

    // Update the incoming blocks to point to this chain, and add them to the
    // chain structure.
    for (BlockChain::iterator BI = Chain->begin(), BE = Chain->end();
         BI != BE; ++BI) {
      Blocks.push_back(*BI);
      assert(BlockToChain[*BI] == Chain && "Incoming blocks not in chain");
      BlockToChain[*BI] = this;
    }
  }

  /// \brief Count of predecessors within the loop currently being processed.
  ///
  /// This count is updated at each loop we process to represent the number of
  /// in-loop predecessors of this chain.
  unsigned LoopPredecessors;
};
}

namespace {
class MachineBlockPlacement : public MachineFunctionPass {
  /// \brief A typedef for a block filter set.
  typedef SmallPtrSet<MachineBasicBlock *, 16> BlockFilterSet;

  /// \brief A handle to the branch probability pass.
  const MachineBranchProbabilityInfo *MBPI;

  /// \brief A handle to the function-wide block frequency pass.
  const MachineBlockFrequencyInfo *MBFI;

  /// \brief A handle to the loop info.
  const MachineLoopInfo *MLI;

  /// \brief A handle to the target's instruction info.
  const TargetInstrInfo *TII;

  /// \brief A handle to the target's lowering info.
  const TargetLowering *TLI;

  /// \brief Allocator and owner of BlockChain structures.
  ///
  /// We build BlockChains lazily by merging together high probability BB
  /// sequences acording to the "Algo2" in the paper mentioned at the top of
  /// the file. To reduce malloc traffic, we allocate them using this slab-like
  /// allocator, and destroy them after the pass completes.
  SpecificBumpPtrAllocator<BlockChain> ChainAllocator;

  /// \brief Function wide BasicBlock to BlockChain mapping.
  ///
  /// This mapping allows efficiently moving from any given basic block to the
  /// BlockChain it participates in, if any. We use it to, among other things,
  /// allow implicitly defining edges between chains as the existing edges
  /// between basic blocks.
  DenseMap<MachineBasicBlock *, BlockChain *> BlockToChain;

  void markChainSuccessors(BlockChain &Chain,
                           MachineBasicBlock *LoopHeaderBB,
                           SmallVectorImpl<MachineBasicBlock *> &Blocks,
                           const BlockFilterSet *BlockFilter = 0);
  MachineBasicBlock *selectBestSuccessor(MachineBasicBlock *BB,
                                         BlockChain &Chain,
                                         const BlockFilterSet *BlockFilter);
  MachineBasicBlock *selectBestCandidateBlock(
      BlockChain &Chain, SmallVectorImpl<MachineBasicBlock *> &WorkList,
      const BlockFilterSet *BlockFilter);
  void buildChain(MachineBasicBlock *BB, BlockChain &Chain,
                  SmallVectorImpl<MachineBasicBlock *> &Blocks,
                  const BlockFilterSet *BlockFilter = 0);
  void buildLoopChains(MachineFunction &F, MachineLoop &L);
  void buildCFGChains(MachineFunction &F);
  void AlignLoops(MachineFunction &F);

public:
  static char ID; // Pass identification, replacement for typeid
  MachineBlockPlacement() : MachineFunctionPass(ID) {
    initializeMachineBlockPlacementPass(*PassRegistry::getPassRegistry());
  }

  bool runOnMachineFunction(MachineFunction &F);

  void getAnalysisUsage(AnalysisUsage &AU) const {
    AU.addRequired<MachineBranchProbabilityInfo>();
    AU.addRequired<MachineBlockFrequencyInfo>();
    AU.addRequired<MachineLoopInfo>();
    MachineFunctionPass::getAnalysisUsage(AU);
  }

  const char *getPassName() const { return "Block Placement"; }
};
}

char MachineBlockPlacement::ID = 0;
INITIALIZE_PASS_BEGIN(MachineBlockPlacement, "block-placement2",
                      "Branch Probability Basic Block Placement", false, false)
INITIALIZE_PASS_DEPENDENCY(MachineBranchProbabilityInfo)
INITIALIZE_PASS_DEPENDENCY(MachineBlockFrequencyInfo)
INITIALIZE_PASS_DEPENDENCY(MachineLoopInfo)
INITIALIZE_PASS_END(MachineBlockPlacement, "block-placement2",
                    "Branch Probability Basic Block Placement", false, false)

FunctionPass *llvm::createMachineBlockPlacementPass() {
  return new MachineBlockPlacement();
}

#ifndef NDEBUG
/// \brief Helper to print the name of a MBB.
///
/// Only used by debug logging.
static std::string getBlockName(MachineBasicBlock *BB) {
  std::string Result;
  raw_string_ostream OS(Result);
  OS << "BB#" << BB->getNumber()
     << " (derived from LLVM BB '" << BB->getName() << "')";
  OS.flush();
  return Result;
}

/// \brief Helper to print the number of a MBB.
///
/// Only used by debug logging.
static std::string getBlockNum(MachineBasicBlock *BB) {
  std::string Result;
  raw_string_ostream OS(Result);
  OS << "BB#" << BB->getNumber();
  OS.flush();
  return Result;
}
#endif

/// \brief Mark a chain's successors as having one fewer preds.
///
/// When a chain is being merged into the "placed" chain, this routine will
/// quickly walk the successors of each block in the chain and mark them as
/// having one fewer active predecessor. It also adds any successors of this
/// chain which reach the zero-predecessor state to the worklist passed in.
void MachineBlockPlacement::markChainSuccessors(
    BlockChain &Chain,
    MachineBasicBlock *LoopHeaderBB,
    SmallVectorImpl<MachineBasicBlock *> &BlockWorkList,
    const BlockFilterSet *BlockFilter) {
  // Walk all the blocks in this chain, marking their successors as having
  // a predecessor placed.
  for (BlockChain::iterator CBI = Chain.begin(), CBE = Chain.end();
       CBI != CBE; ++CBI) {
    // Add any successors for which this is the only un-placed in-loop
    // predecessor to the worklist as a viable candidate for CFG-neutral
    // placement. No subsequent placement of this block will violate the CFG
    // shape, so we get to use heuristics to choose a favorable placement.
    for (MachineBasicBlock::succ_iterator SI = (*CBI)->succ_begin(),
                                          SE = (*CBI)->succ_end();
         SI != SE; ++SI) {
      if (BlockFilter && !BlockFilter->count(*SI))
        continue;
      BlockChain &SuccChain = *BlockToChain[*SI];
      // Disregard edges within a fixed chain, or edges to the loop header.
      if (&Chain == &SuccChain || *SI == LoopHeaderBB)
        continue;

      // This is a cross-chain edge that is within the loop, so decrement the
      // loop predecessor count of the destination chain.
      if (SuccChain.LoopPredecessors > 0 && --SuccChain.LoopPredecessors == 0)
        BlockWorkList.push_back(*SI);
    }
  }
}

/// \brief Select the best successor for a block.
///
/// This looks across all successors of a particular block and attempts to
/// select the "best" one to be the layout successor. It only considers direct
/// successors which also pass the block filter. It will attempt to avoid
/// breaking CFG structure, but cave and break such structures in the case of
/// very hot successor edges.
///
/// \returns The best successor block found, or null if none are viable.
MachineBasicBlock *MachineBlockPlacement::selectBestSuccessor(
    MachineBasicBlock *BB, BlockChain &Chain,
    const BlockFilterSet *BlockFilter) {
  const BranchProbability HotProb(4, 5); // 80%

  MachineBasicBlock *BestSucc = 0;
  BranchProbability BestProb = BranchProbability::getZero();
  DEBUG(dbgs() << "Attempting merge from: " << getBlockName(BB) << "\n");
  for (MachineBasicBlock::succ_iterator SI = BB->succ_begin(),
                                        SE = BB->succ_end();
       SI != SE; ++SI) {
    if (BlockFilter && !BlockFilter->count(*SI))
      continue;
    BlockChain &SuccChain = *BlockToChain[*SI];
    if (&SuccChain == &Chain) {
      DEBUG(dbgs() << "    " << getBlockName(*SI) << " -> Already merged!\n");
      continue;
    }

    BranchProbability SuccProb = MBPI->getEdgeProbability(BB, *SI);

    // Only consider successors which are either "hot", or wouldn't violate
    // any CFG constraints.
    if (SuccChain.LoopPredecessors != 0 && SuccProb < HotProb) {
      DEBUG(dbgs() << "    " << getBlockName(*SI) << " -> CFG conflict\n");
      continue;
    }

    DEBUG(dbgs() << "    " << getBlockName(*SI) << " -> " << SuccProb
                 << " (prob)"
                 << (SuccChain.LoopPredecessors != 0 ? " (CFG break)" : "")
                 << "\n");
    if (BestSucc && BestProb >= SuccProb)
      continue;
    BestSucc = *SI;
    BestProb = SuccProb;
  }
  return BestSucc;
}

/// \brief Select the best block from a worklist.
///
/// This looks through the provided worklist as a list of candidate basic
/// blocks and select the most profitable one to place. The definition of
/// profitable only really makes sense in the context of a loop. This returns
/// the most frequently visited block in the worklist, which in the case of
/// a loop, is the one most desirable to be physically close to the rest of the
/// loop body in order to improve icache behavior.
///
/// \returns The best block found, or null if none are viable.
MachineBasicBlock *MachineBlockPlacement::selectBestCandidateBlock(
    BlockChain &Chain, SmallVectorImpl<MachineBasicBlock *> &WorkList,
    const BlockFilterSet *BlockFilter) {
  MachineBasicBlock *BestBlock = 0;
  BlockFrequency BestFreq;
  for (SmallVectorImpl<MachineBasicBlock *>::iterator WBI = WorkList.begin(),
                                                      WBE = WorkList.end();
       WBI != WBE; ++WBI) {
    if (BlockFilter && !BlockFilter->count(*WBI))
      continue;
    BlockChain &SuccChain = *BlockToChain[*WBI];
    if (&SuccChain == &Chain) {
      DEBUG(dbgs() << "    " << getBlockName(*WBI)
                   << " -> Already merged!\n");
      continue;
    }
    assert(SuccChain.LoopPredecessors == 0 && "Found CFG-violating block");

    BlockFrequency CandidateFreq = MBFI->getBlockFreq(*WBI);
    DEBUG(dbgs() << "    " << getBlockName(*WBI) << " -> " << CandidateFreq
                 << " (freq)\n");
    if (BestBlock && BestFreq >= CandidateFreq)
      continue;
    BestBlock = *WBI;
    BestFreq = CandidateFreq;
  }
  return BestBlock;
}

void MachineBlockPlacement::buildChain(
    MachineBasicBlock *BB,
    BlockChain &Chain,
    SmallVectorImpl<MachineBasicBlock *> &BlockWorkList,
    const BlockFilterSet *BlockFilter) {
  assert(BB);
  assert(BlockToChain[BB] == &Chain);
  assert(*Chain.begin() == BB);
  MachineBasicBlock *LoopHeaderBB = BB;
  markChainSuccessors(Chain, LoopHeaderBB, BlockWorkList, BlockFilter);
  BB = *llvm::prior(Chain.end());
  for (;;) {
    assert(BB);
    assert(BlockToChain[BB] == &Chain);
    assert(*llvm::prior(Chain.end()) == BB);

    // Look for the best viable successor if there is one to place immediately
    // after this block.
    MachineBasicBlock *BestSucc = selectBestSuccessor(BB, Chain, BlockFilter);

    // If an immediate successor isn't available, look for the best viable
    // block among those we've identified as not violating the loop's CFG at
    // this point. This won't be a fallthrough, but it will increase locality.
    if (!BestSucc)
      BestSucc = selectBestCandidateBlock(Chain, BlockWorkList, BlockFilter);

    if (!BestSucc) {
      DEBUG(dbgs() << "Finished forming chain for header block "
                   << getBlockNum(*Chain.begin()) << "\n");
      return;
    }

    // Place this block, updating the datastructures to reflect its placement.
    BlockChain &SuccChain = *BlockToChain[BestSucc];
    DEBUG(dbgs() << "Merging from " << getBlockNum(BB)
                 << " to " << getBlockNum(BestSucc) << "\n");
    markChainSuccessors(SuccChain, LoopHeaderBB, BlockWorkList, BlockFilter);
    Chain.merge(BestSucc, &SuccChain);
    BB = *llvm::prior(Chain.end());
  }
}

/// \brief Forms basic block chains from the natural loop structures.
///
/// These chains are designed to preserve the existing *structure* of the code
/// as much as possible. We can then stitch the chains together in a way which
/// both preserves the topological structure and minimizes taken conditional
/// branches.
void MachineBlockPlacement::buildLoopChains(MachineFunction &F,
                                            MachineLoop &L) {
  // First recurse through any nested loops, building chains for those inner
  // loops.
  for (MachineLoop::iterator LI = L.begin(), LE = L.end(); LI != LE; ++LI)
    buildLoopChains(F, **LI);

  SmallVector<MachineBasicBlock *, 16> BlockWorkList;
  BlockFilterSet LoopBlockSet(L.block_begin(), L.block_end());

  // FIXME: This is a really lame way of walking the chains in the loop: we
  // walk the blocks, and use a set to prevent visiting a particular chain
  // twice.
  SmallPtrSet<BlockChain *, 4> UpdatedPreds;
  for (MachineLoop::block_iterator BI = L.block_begin(),
                                   BE = L.block_end();
       BI != BE; ++BI) {
    BlockChain &Chain = *BlockToChain[*BI];
    if (!UpdatedPreds.insert(&Chain) || BI == L.block_begin())
      continue;

    assert(Chain.LoopPredecessors == 0);
    for (BlockChain::iterator BCI = Chain.begin(), BCE = Chain.end();
         BCI != BCE; ++BCI) {
      assert(BlockToChain[*BCI] == &Chain);
      for (MachineBasicBlock::pred_iterator PI = (*BCI)->pred_begin(),
                                            PE = (*BCI)->pred_end();
           PI != PE; ++PI) {
        if (BlockToChain[*PI] == &Chain || !LoopBlockSet.count(*PI))
          continue;
        ++Chain.LoopPredecessors;
      }
    }

    if (Chain.LoopPredecessors == 0)
      BlockWorkList.push_back(*BI);
  }

  BlockChain &LoopChain = *BlockToChain[L.getHeader()];
  buildChain(*L.block_begin(), LoopChain, BlockWorkList, &LoopBlockSet);

  DEBUG({
    if (LoopChain.LoopPredecessors)
      dbgs() << "Loop chain contains a block without its preds placed!\n"
             << "  Loop header:  " << getBlockName(*L.block_begin()) << "\n"
             << "  Chain header: " << getBlockName(*LoopChain.begin()) << "\n";
    for (BlockChain::iterator BCI = LoopChain.begin(), BCE = LoopChain.end();
         BCI != BCE; ++BCI)
      if (!LoopBlockSet.erase(*BCI))
        dbgs() << "Loop chain contains a block not contained by the loop!\n"
               << "  Loop header:  " << getBlockName(*L.block_begin()) << "\n"
               << "  Chain header: " << getBlockName(*LoopChain.begin()) << "\n"
               << "  Bad block:    " << getBlockName(*BCI) << "\n";

    if (!LoopBlockSet.empty())
      for (SmallPtrSet<MachineBasicBlock *, 16>::iterator LBI = LoopBlockSet.begin(), LBE = LoopBlockSet.end();
           LBI != LBE; ++LBI)
        dbgs() << "Loop contains blocks never placed into a chain!\n"
               << "  Loop header:  " << getBlockName(*L.block_begin()) << "\n"
               << "  Chain header: " << getBlockName(*LoopChain.begin()) << "\n"
               << "  Bad block:    " << getBlockName(*LBI) << "\n";
  });
}

void MachineBlockPlacement::buildCFGChains(MachineFunction &F) {
  // Ensure that every BB in the function has an associated chain to simplify
  // the assumptions of the remaining algorithm.
  for (MachineFunction::iterator FI = F.begin(), FE = F.end(); FI != FE; ++FI)
    BlockToChain[&*FI] =
      new (ChainAllocator.Allocate()) BlockChain(BlockToChain, &*FI);

  // Build any loop-based chains.
  for (MachineLoopInfo::iterator LI = MLI->begin(), LE = MLI->end(); LI != LE;
       ++LI)
    buildLoopChains(F, **LI);

  SmallVector<MachineBasicBlock *, 16> BlockWorkList;

  SmallPtrSet<BlockChain *, 4> UpdatedPreds;
  for (MachineFunction::iterator FI = F.begin(), FE = F.end(); FI != FE; ++FI) {
    MachineBasicBlock *BB = &*FI;
    BlockChain &Chain = *BlockToChain[BB];
    if (!UpdatedPreds.insert(&Chain))
      continue;

    assert(Chain.LoopPredecessors == 0);
    for (BlockChain::iterator BCI = Chain.begin(), BCE = Chain.end();
         BCI != BCE; ++BCI) {
      assert(BlockToChain[*BCI] == &Chain);
      for (MachineBasicBlock::pred_iterator PI = (*BCI)->pred_begin(),
                                            PE = (*BCI)->pred_end();
           PI != PE; ++PI) {
        if (BlockToChain[*PI] == &Chain)
          continue;
        ++Chain.LoopPredecessors;
      }
    }

    if (Chain.LoopPredecessors == 0)
      BlockWorkList.push_back(BB);
  }

  BlockChain &FunctionChain = *BlockToChain[&F.front()];
  buildChain(&F.front(), FunctionChain, BlockWorkList);

  typedef SmallPtrSet<MachineBasicBlock *, 16> FunctionBlockSetType;
  DEBUG({
    FunctionBlockSetType FunctionBlockSet;
    for (MachineFunction::iterator FI = F.begin(), FE = F.end(); FI != FE; ++FI)
      FunctionBlockSet.insert(FI);

    for (BlockChain::iterator BCI = FunctionChain.begin(), BCE = FunctionChain.end();
         BCI != BCE; ++BCI)
      if (!FunctionBlockSet.erase(*BCI))
        dbgs() << "Function chain contains a block not in the function!\n"
               << "  Bad block:    " << getBlockName(*BCI) << "\n";

    if (!FunctionBlockSet.empty())
      for (SmallPtrSet<MachineBasicBlock *, 16>::iterator FBI = FunctionBlockSet.begin(),
           FBE = FunctionBlockSet.end(); FBI != FBE; ++FBI)
        dbgs() << "Function contains blocks never placed into a chain!\n"
               << "  Bad block:    " << getBlockName(*FBI) << "\n";
  });

  // Splice the blocks into place.
  MachineFunction::iterator InsertPos = F.begin();
  SmallVector<MachineOperand, 4> Cond; // For AnalyzeBranch.
  for (BlockChain::iterator BI = FunctionChain.begin(), BE = FunctionChain.end();
       BI != BE; ++BI) {
    DEBUG(dbgs() << (BI == FunctionChain.begin() ? "Placing chain "
                                                  : "          ... ")
          << getBlockName(*BI) << "\n");
    if (InsertPos != MachineFunction::iterator(*BI))
      F.splice(InsertPos, *BI);
    else
      ++InsertPos;

    // Update the terminator of the previous block.
    if (BI == FunctionChain.begin())
      continue;
    MachineBasicBlock *PrevBB = llvm::prior(MachineFunction::iterator(*BI));

    // FIXME: It would be awesome of updateTerminator would just return rather
    // than assert when the branch cannot be analyzed in order to remove this
    // boiler plate.
    Cond.clear();
    MachineBasicBlock *TBB = 0, *FBB = 0; // For AnalyzeBranch.
    if (!TII->AnalyzeBranch(*PrevBB, TBB, FBB, Cond))
      PrevBB->updateTerminator();
  }

  // Fixup the last block.
  Cond.clear();
  MachineBasicBlock *TBB = 0, *FBB = 0; // For AnalyzeBranch.
  if (!TII->AnalyzeBranch(F.back(), TBB, FBB, Cond))
    F.back().updateTerminator();
}

/// \brief Recursive helper to align a loop and any nested loops.
static void AlignLoop(MachineFunction &F, MachineLoop *L, unsigned Align) {
  // Recurse through nested loops.
  for (MachineLoop::iterator I = L->begin(), E = L->end(); I != E; ++I)
    AlignLoop(F, *I, Align);

  L->getTopBlock()->setAlignment(Align);
}

/// \brief Align loop headers to target preferred alignments.
void MachineBlockPlacement::AlignLoops(MachineFunction &F) {
  if (F.getFunction()->hasFnAttr(Attribute::OptimizeForSize))
    return;

  unsigned Align = TLI->getPrefLoopAlignment();
  if (!Align)
    return;  // Don't care about loop alignment.

  for (MachineLoopInfo::iterator I = MLI->begin(), E = MLI->end(); I != E; ++I)
    AlignLoop(F, *I, Align);
}

bool MachineBlockPlacement::runOnMachineFunction(MachineFunction &F) {
  // Check for single-block functions and skip them.
  if (llvm::next(F.begin()) == F.end())
    return false;

  MBPI = &getAnalysis<MachineBranchProbabilityInfo>();
  MBFI = &getAnalysis<MachineBlockFrequencyInfo>();
  MLI = &getAnalysis<MachineLoopInfo>();
  TII = F.getTarget().getInstrInfo();
  TLI = F.getTarget().getTargetLowering();
  assert(BlockToChain.empty());

  buildCFGChains(F);
  AlignLoops(F);

  BlockToChain.clear();

  // We always return true as we have no way to track whether the final order
  // differs from the original order.
  return true;
}

namespace {
/// \brief A pass to compute block placement statistics.
///
/// A separate pass to compute interesting statistics for evaluating block
/// placement. This is separate from the actual placement pass so that they can
/// be computed in the absense of any placement transformations or when using
/// alternative placement strategies.
class MachineBlockPlacementStats : public MachineFunctionPass {
  /// \brief A handle to the branch probability pass.
  const MachineBranchProbabilityInfo *MBPI;

  /// \brief A handle to the function-wide block frequency pass.
  const MachineBlockFrequencyInfo *MBFI;

public:
  static char ID; // Pass identification, replacement for typeid
  MachineBlockPlacementStats() : MachineFunctionPass(ID) {
    initializeMachineBlockPlacementStatsPass(*PassRegistry::getPassRegistry());
  }

  bool runOnMachineFunction(MachineFunction &F);

  void getAnalysisUsage(AnalysisUsage &AU) const {
    AU.addRequired<MachineBranchProbabilityInfo>();
    AU.addRequired<MachineBlockFrequencyInfo>();
    AU.setPreservesAll();
    MachineFunctionPass::getAnalysisUsage(AU);
  }

  const char *getPassName() const { return "Block Placement Stats"; }
};
}

char MachineBlockPlacementStats::ID = 0;
INITIALIZE_PASS_BEGIN(MachineBlockPlacementStats, "block-placement-stats",
                      "Basic Block Placement Stats", false, false)
INITIALIZE_PASS_DEPENDENCY(MachineBranchProbabilityInfo)
INITIALIZE_PASS_DEPENDENCY(MachineBlockFrequencyInfo)
INITIALIZE_PASS_END(MachineBlockPlacementStats, "block-placement-stats",
                    "Basic Block Placement Stats", false, false)

FunctionPass *llvm::createMachineBlockPlacementStatsPass() {
  return new MachineBlockPlacementStats();
}

bool MachineBlockPlacementStats::runOnMachineFunction(MachineFunction &F) {
  // Check for single-block functions and skip them.
  if (llvm::next(F.begin()) == F.end())
    return false;

  MBPI = &getAnalysis<MachineBranchProbabilityInfo>();
  MBFI = &getAnalysis<MachineBlockFrequencyInfo>();

  for (MachineFunction::iterator I = F.begin(), E = F.end(); I != E; ++I) {
    BlockFrequency BlockFreq = MBFI->getBlockFreq(I);
    Statistic &NumBranches = (I->succ_size() > 1) ? NumCondBranches
                                                  : NumUncondBranches;
    Statistic &BranchTakenFreq = (I->succ_size() > 1) ? CondBranchTakenFreq
                                                      : UncondBranchTakenFreq;
    for (MachineBasicBlock::succ_iterator SI = I->succ_begin(),
                                          SE = I->succ_end();
         SI != SE; ++SI) {
      // Skip if this successor is a fallthrough.
      if (I->isLayoutSuccessor(*SI))
        continue;

      BlockFrequency EdgeFreq = BlockFreq * MBPI->getEdgeProbability(I, *SI);
      ++NumBranches;
      BranchTakenFreq += EdgeFreq.getFrequency();
    }
  }

  return false;
}