"blocks in the function."),
cl::init(0), cl::Hidden);
+static cl::opt<unsigned>
+ AlignAllLoops("align-all-loops",
+ cl::desc("Force the alignment of all loops in the function."),
+ cl::init(0), cl::Hidden);
+
// FIXME: Find a good default for this flag and remove the flag.
static cl::opt<unsigned> ExitBlockBias(
"block-placement-exit-block-bias",
"instruction count below this threshold"),
cl::init(4), cl::Hidden);
+static cl::opt<unsigned> LoopToColdBlockRatio(
+ "loop-to-cold-block-ratio",
+ cl::desc("Outline loop blocks from loop chain if (frequency of loop) / "
+ "(frequency of block) is greater than this ratio"),
+ cl::init(5), cl::Hidden);
+
+static cl::opt<bool>
+ PreciseRotationCost("precise-rotation-cost",
+ cl::desc("Model the cost of loop rotation more "
+ "precisely by using profile data."),
+ cl::init(false), cl::Hidden);
+
+static cl::opt<unsigned> MisfetchCost(
+ "misfetch-cost",
+ cl::desc("Cost that models the probablistic risk of an instruction "
+ "misfetch due to a jump comparing to falling through, whose cost "
+ "is zero."),
+ cl::init(1), cl::Hidden);
+
+static cl::opt<unsigned> JumpInstCost("jump-inst-cost",
+ cl::desc("Cost of jump instructions."),
+ cl::init(1), cl::Hidden);
+
namespace {
class BlockChain;
/// \brief Type for our function-wide basic block -> block chain mapping.
const BlockFilterSet &LoopBlockSet);
MachineBasicBlock *findBestLoopExit(MachineFunction &F, MachineLoop &L,
const BlockFilterSet &LoopBlockSet);
+ BlockFilterSet collectLoopBlockSet(MachineFunction &F, MachineLoop &L);
void buildLoopChains(MachineFunction &F, MachineLoop &L);
void rotateLoop(BlockChain &LoopChain, MachineBasicBlock *ExitingBB,
const BlockFilterSet &LoopBlockSet);
+ void rotateLoopWithProfile(BlockChain &LoopChain, MachineLoop &L,
+ const BlockFilterSet &LoopBlockSet);
void buildCFGChains(MachineFunction &F);
public:
const BranchProbability HotProb(4, 5); // 80%
MachineBasicBlock *BestSucc = nullptr;
- // FIXME: Due to the performance of the probability and weight routines in
- // the MBPI analysis, we manually compute probabilities using the edge
- // weights. This is suboptimal as it means that the somewhat subtle
- // definition of edge weight semantics is encoded here as well. We should
- // improve the MBPI interface to efficiently support query patterns such as
- // this.
- uint32_t BestWeight = 0;
- uint32_t WeightScale = 0;
- uint32_t SumWeight = MBPI->getSumForBlock(BB, WeightScale);
- DEBUG(dbgs() << "Attempting merge from: " << getBlockName(BB) << "\n");
+ auto BestProb = BranchProbability::getZero();
+
+ // Adjust edge probabilities by excluding edges pointing to blocks that is
+ // either not in BlockFilter or is already in the current chain. Consider the
+ // following CFG:
+ //
+ // --->A
+ // | / \
+ // | B C
+ // | \ / \
+ // ----D E
+ //
+ // Assume A->C is very hot (>90%), and C->D has a 50% probability, then after
+ // A->C is chosen as a fall-through, D won't be selected as a successor of C
+ // due to CFG constraint (the probability of C->D is not greater than
+ // HotProb). If we exclude E that is not in BlockFilter when calculating the
+ // probability of C->D, D will be selected and we will get A C D B as the
+ // layout of this loop.
+ auto AdjustedSumProb = BranchProbability::getOne();
+ SmallVector<MachineBasicBlock *, 4> Successors;
for (MachineBasicBlock *Succ : BB->successors()) {
- if (BlockFilter && !BlockFilter->count(Succ))
- continue;
- BlockChain &SuccChain = *BlockToChain[Succ];
- if (&SuccChain == &Chain) {
- DEBUG(dbgs() << " " << getBlockName(Succ) << " -> Already merged!\n");
- continue;
- }
- if (Succ != *SuccChain.begin()) {
- DEBUG(dbgs() << " " << getBlockName(Succ) << " -> Mid chain!\n");
- continue;
+ bool SkipSucc = false;
+ if (BlockFilter && !BlockFilter->count(Succ)) {
+ SkipSucc = true;
+ } else {
+ BlockChain *SuccChain = BlockToChain[Succ];
+ if (SuccChain == &Chain) {
+ DEBUG(dbgs() << " " << getBlockName(Succ)
+ << " -> Already merged!\n");
+ SkipSucc = true;
+ } else if (Succ != *SuccChain->begin()) {
+ DEBUG(dbgs() << " " << getBlockName(Succ) << " -> Mid chain!\n");
+ continue;
+ }
}
+ if (SkipSucc)
+ AdjustedSumProb -= MBPI->getEdgeProbability(BB, Succ);
+ else
+ Successors.push_back(Succ);
+ }
- uint32_t SuccWeight = MBPI->getEdgeWeight(BB, Succ);
- BranchProbability SuccProb(SuccWeight / WeightScale, SumWeight);
+ DEBUG(dbgs() << "Attempting merge from: " << getBlockName(BB) << "\n");
+ for (MachineBasicBlock *Succ : Successors) {
+ BranchProbability SuccProb;
+ uint32_t SuccProbN = MBPI->getEdgeProbability(BB, Succ).getNumerator();
+ uint32_t SuccProbD = AdjustedSumProb.getNumerator();
+ if (SuccProbN >= SuccProbD)
+ SuccProb = BranchProbability::getOne();
+ else
+ SuccProb = BranchProbability(SuccProbN, SuccProbD);
// If we outline optional branches, look whether Succ is unavoidable, i.e.
// dominates all terminators of the MachineFunction. If it does, other
// Only consider successors which are either "hot", or wouldn't violate
// any CFG constraints.
+ BlockChain &SuccChain = *BlockToChain[Succ];
if (SuccChain.LoopPredecessors != 0) {
if (SuccProb < HotProb) {
DEBUG(dbgs() << " " << getBlockName(Succ) << " -> " << SuccProb
// Make sure that a hot successor doesn't have a globally more
// important predecessor.
+ auto RealSuccProb = MBPI->getEdgeProbability(BB, Succ);
BlockFrequency CandidateEdgeFreq =
- MBFI->getBlockFreq(BB) * SuccProb * HotProb.getCompl();
+ MBFI->getBlockFreq(BB) * RealSuccProb * HotProb.getCompl();
bool BadCFGConflict = false;
for (MachineBasicBlock *Pred : Succ->predecessors()) {
if (Pred == Succ || (BlockFilter && !BlockFilter->count(Pred)) ||
<< " (prob)"
<< (SuccChain.LoopPredecessors != 0 ? " (CFG break)" : "")
<< "\n");
- if (BestSucc && BestWeight >= SuccWeight)
+ if (BestSucc && BestProb >= SuccProb)
continue;
BestSucc = Succ;
- BestWeight = SuccWeight;
+ BestProb = SuccProb;
}
return BestSucc;
}
MachineBasicBlock *OldExitingBB = ExitingBB;
BlockFrequency OldBestExitEdgeFreq = BestExitEdgeFreq;
bool HasLoopingSucc = false;
- // FIXME: Due to the performance of the probability and weight routines in
- // the MBPI analysis, we use the internal weights and manually compute the
- // probabilities to avoid quadratic behavior.
- uint32_t WeightScale = 0;
- uint32_t SumWeight = MBPI->getSumForBlock(MBB, WeightScale);
for (MachineBasicBlock *Succ : MBB->successors()) {
if (Succ->isEHPad())
continue;
continue;
}
- uint32_t SuccWeight = MBPI->getEdgeWeight(MBB, Succ);
+ auto SuccProb = MBPI->getEdgeProbability(MBB, Succ);
if (LoopBlockSet.count(Succ)) {
DEBUG(dbgs() << " looping: " << getBlockName(MBB) << " -> "
- << getBlockName(Succ) << " (" << SuccWeight << ")\n");
+ << getBlockName(Succ) << " (" << SuccProb << ")\n");
HasLoopingSucc = true;
continue;
}
BlocksExitingToOuterLoop.insert(MBB);
}
- BranchProbability SuccProb(SuccWeight / WeightScale, SumWeight);
BlockFrequency ExitEdgeFreq = MBFI->getBlockFreq(MBB) * SuccProb;
DEBUG(dbgs() << " exiting: " << getBlockName(MBB) << " -> "
<< getBlockName(Succ) << " [L:" << SuccLoopDepth << "] (";
std::rotate(LoopChain.begin(), std::next(ExitIt), LoopChain.end());
}
+/// \brief Attempt to rotate a loop based on profile data to reduce branch cost.
+///
+/// With profile data, we can determine the cost in terms of missed fall through
+/// opportunities when rotating a loop chain and select the best rotation.
+/// Basically, there are three kinds of cost to consider for each rotation:
+/// 1. The possibly missed fall through edge (if it exists) from BB out of
+/// the loop to the loop header.
+/// 2. The possibly missed fall through edges (if they exist) from the loop
+/// exits to BB out of the loop.
+/// 3. The missed fall through edge (if it exists) from the last BB to the
+/// first BB in the loop chain.
+/// Therefore, the cost for a given rotation is the sum of costs listed above.
+/// We select the best rotation with the smallest cost.
+void MachineBlockPlacement::rotateLoopWithProfile(
+ BlockChain &LoopChain, MachineLoop &L, const BlockFilterSet &LoopBlockSet) {
+ auto HeaderBB = L.getHeader();
+ auto HeaderIter = std::find(LoopChain.begin(), LoopChain.end(), HeaderBB);
+ auto RotationPos = LoopChain.end();
+
+ BlockFrequency SmallestRotationCost = BlockFrequency::getMaxFrequency();
+
+ // A utility lambda that scales up a block frequency by dividing it by a
+ // branch probability which is the reciprocal of the scale.
+ auto ScaleBlockFrequency = [](BlockFrequency Freq,
+ unsigned Scale) -> BlockFrequency {
+ if (Scale == 0)
+ return 0;
+ // Use operator / between BlockFrequency and BranchProbability to implement
+ // saturating multiplication.
+ return Freq / BranchProbability(1, Scale);
+ };
+
+ // Compute the cost of the missed fall-through edge to the loop header if the
+ // chain head is not the loop header. As we only consider natural loops with
+ // single header, this computation can be done only once.
+ BlockFrequency HeaderFallThroughCost(0);
+ for (auto *Pred : HeaderBB->predecessors()) {
+ BlockChain *PredChain = BlockToChain[Pred];
+ if (!LoopBlockSet.count(Pred) &&
+ (!PredChain || Pred == *std::prev(PredChain->end()))) {
+ auto EdgeFreq =
+ MBFI->getBlockFreq(Pred) * MBPI->getEdgeProbability(Pred, HeaderBB);
+ auto FallThruCost = ScaleBlockFrequency(EdgeFreq, MisfetchCost);
+ // If the predecessor has only an unconditional jump to the header, we
+ // need to consider the cost of this jump.
+ if (Pred->succ_size() == 1)
+ FallThruCost += ScaleBlockFrequency(EdgeFreq, JumpInstCost);
+ HeaderFallThroughCost = std::max(HeaderFallThroughCost, FallThruCost);
+ }
+ }
+
+ // Here we collect all exit blocks in the loop, and for each exit we find out
+ // its hottest exit edge. For each loop rotation, we define the loop exit cost
+ // as the sum of frequencies of exit edges we collect here, excluding the exit
+ // edge from the tail of the loop chain.
+ SmallVector<std::pair<MachineBasicBlock *, BlockFrequency>, 4> ExitsWithFreq;
+ for (auto BB : LoopChain) {
+ auto LargestExitEdgeProb = BranchProbability::getZero();
+ for (auto *Succ : BB->successors()) {
+ BlockChain *SuccChain = BlockToChain[Succ];
+ if (!LoopBlockSet.count(Succ) &&
+ (!SuccChain || Succ == *SuccChain->begin())) {
+ auto SuccProb = MBPI->getEdgeProbability(BB, Succ);
+ LargestExitEdgeProb = std::max(LargestExitEdgeProb, SuccProb);
+ }
+ }
+ if (LargestExitEdgeProb > BranchProbability::getZero()) {
+ auto ExitFreq = MBFI->getBlockFreq(BB) * LargestExitEdgeProb;
+ ExitsWithFreq.emplace_back(BB, ExitFreq);
+ }
+ }
+
+ // In this loop we iterate every block in the loop chain and calculate the
+ // cost assuming the block is the head of the loop chain. When the loop ends,
+ // we should have found the best candidate as the loop chain's head.
+ for (auto Iter = LoopChain.begin(), TailIter = std::prev(LoopChain.end()),
+ EndIter = LoopChain.end();
+ Iter != EndIter; Iter++, TailIter++) {
+ // TailIter is used to track the tail of the loop chain if the block we are
+ // checking (pointed by Iter) is the head of the chain.
+ if (TailIter == LoopChain.end())
+ TailIter = LoopChain.begin();
+
+ auto TailBB = *TailIter;
+
+ // Calculate the cost by putting this BB to the top.
+ BlockFrequency Cost = 0;
+
+ // If the current BB is the loop header, we need to take into account the
+ // cost of the missed fall through edge from outside of the loop to the
+ // header.
+ if (Iter != HeaderIter)
+ Cost += HeaderFallThroughCost;
+
+ // Collect the loop exit cost by summing up frequencies of all exit edges
+ // except the one from the chain tail.
+ for (auto &ExitWithFreq : ExitsWithFreq)
+ if (TailBB != ExitWithFreq.first)
+ Cost += ExitWithFreq.second;
+
+ // The cost of breaking the once fall-through edge from the tail to the top
+ // of the loop chain. Here we need to consider three cases:
+ // 1. If the tail node has only one successor, then we will get an
+ // additional jmp instruction. So the cost here is (MisfetchCost +
+ // JumpInstCost) * tail node frequency.
+ // 2. If the tail node has two successors, then we may still get an
+ // additional jmp instruction if the layout successor after the loop
+ // chain is not its CFG successor. Note that the more frequently executed
+ // jmp instruction will be put ahead of the other one. Assume the
+ // frequency of those two branches are x and y, where x is the frequency
+ // of the edge to the chain head, then the cost will be
+ // (x * MisfetechCost + min(x, y) * JumpInstCost) * tail node frequency.
+ // 3. If the tail node has more than two successors (this rarely happens),
+ // we won't consider any additional cost.
+ if (TailBB->isSuccessor(*Iter)) {
+ auto TailBBFreq = MBFI->getBlockFreq(TailBB);
+ if (TailBB->succ_size() == 1)
+ Cost += ScaleBlockFrequency(TailBBFreq.getFrequency(),
+ MisfetchCost + JumpInstCost);
+ else if (TailBB->succ_size() == 2) {
+ auto TailToHeadProb = MBPI->getEdgeProbability(TailBB, *Iter);
+ auto TailToHeadFreq = TailBBFreq * TailToHeadProb;
+ auto ColderEdgeFreq = TailToHeadProb > BranchProbability(1, 2)
+ ? TailBBFreq * TailToHeadProb.getCompl()
+ : TailToHeadFreq;
+ Cost += ScaleBlockFrequency(TailToHeadFreq, MisfetchCost) +
+ ScaleBlockFrequency(ColderEdgeFreq, JumpInstCost);
+ }
+ }
+
+ DEBUG(dbgs() << "The cost of loop rotation by making " << getBlockNum(*Iter)
+ << " to the top: " << Cost.getFrequency() << "\n");
+
+ if (Cost < SmallestRotationCost) {
+ SmallestRotationCost = Cost;
+ RotationPos = Iter;
+ }
+ }
+
+ if (RotationPos != LoopChain.end()) {
+ DEBUG(dbgs() << "Rotate loop by making " << getBlockNum(*RotationPos)
+ << " to the top\n");
+ std::rotate(LoopChain.begin(), RotationPos, LoopChain.end());
+ }
+}
+
+/// \brief Collect blocks in the given loop that are to be placed.
+///
+/// When profile data is available, exclude cold blocks from the returned set;
+/// otherwise, collect all blocks in the loop.
+MachineBlockPlacement::BlockFilterSet
+MachineBlockPlacement::collectLoopBlockSet(MachineFunction &F, MachineLoop &L) {
+ BlockFilterSet LoopBlockSet;
+
+ // Filter cold blocks off from LoopBlockSet when profile data is available.
+ // Collect the sum of frequencies of incoming edges to the loop header from
+ // outside. If we treat the loop as a super block, this is the frequency of
+ // the loop. Then for each block in the loop, we calculate the ratio between
+ // its frequency and the frequency of the loop block. When it is too small,
+ // don't add it to the loop chain. If there are outer loops, then this block
+ // will be merged into the first outer loop chain for which this block is not
+ // cold anymore. This needs precise profile data and we only do this when
+ // profile data is available.
+ if (F.getFunction()->getEntryCount()) {
+ BlockFrequency LoopFreq(0);
+ for (auto LoopPred : L.getHeader()->predecessors())
+ if (!L.contains(LoopPred))
+ LoopFreq += MBFI->getBlockFreq(LoopPred) *
+ MBPI->getEdgeProbability(LoopPred, L.getHeader());
+
+ for (MachineBasicBlock *LoopBB : L.getBlocks()) {
+ auto Freq = MBFI->getBlockFreq(LoopBB).getFrequency();
+ if (Freq == 0 || LoopFreq.getFrequency() / Freq > LoopToColdBlockRatio)
+ continue;
+ LoopBlockSet.insert(LoopBB);
+ }
+ } else
+ LoopBlockSet.insert(L.block_begin(), L.block_end());
+
+ return LoopBlockSet;
+}
+
/// \brief Forms basic block chains from the natural loop structures.
///
/// These chains are designed to preserve the existing *structure* of the code
buildLoopChains(F, *InnerLoop);
SmallVector<MachineBasicBlock *, 16> BlockWorkList;
- BlockFilterSet LoopBlockSet(L.block_begin(), L.block_end());
+ BlockFilterSet LoopBlockSet = collectLoopBlockSet(F, L);
+
+ // Check if we have profile data for this function. If yes, we will rotate
+ // this loop by modeling costs more precisely which requires the profile data
+ // for better layout.
+ bool RotateLoopWithProfile =
+ PreciseRotationCost && F.getFunction()->getEntryCount();
// First check to see if there is an obviously preferable top block for the
// loop. This will default to the header, but may end up as one of the
// predecessors to the header if there is one which will result in strictly
// fewer branches in the loop body.
- MachineBasicBlock *LoopTop = findBestLoopTop(L, LoopBlockSet);
+ // When we use profile data to rotate the loop, this is unnecessary.
+ MachineBasicBlock *LoopTop =
+ RotateLoopWithProfile ? L.getHeader() : findBestLoopTop(L, LoopBlockSet);
// If we selected just the header for the loop top, look for a potentially
// profitable exit block in the event that rotating the loop can eliminate
// branches by placing an exit edge at the bottom.
MachineBasicBlock *ExitingBB = nullptr;
- if (LoopTop == L.getHeader())
+ if (!RotateLoopWithProfile && LoopTop == L.getHeader())
ExitingBB = findBestLoopExit(F, L, LoopBlockSet);
BlockChain &LoopChain = *BlockToChain[LoopTop];
SmallPtrSet<BlockChain *, 4> UpdatedPreds;
assert(LoopChain.LoopPredecessors == 0);
UpdatedPreds.insert(&LoopChain);
- for (MachineBasicBlock *LoopBB : L.getBlocks()) {
+
+ for (MachineBasicBlock *LoopBB : LoopBlockSet) {
BlockChain &Chain = *BlockToChain[LoopBB];
if (!UpdatedPreds.insert(&Chain).second)
continue;
}
buildChain(LoopTop, LoopChain, BlockWorkList, &LoopBlockSet);
- rotateLoop(LoopChain, ExitingBB, LoopBlockSet);
+
+ if (RotateLoopWithProfile)
+ rotateLoopWithProfile(LoopChain, L, LoopBlockSet);
+ else
+ rotateLoop(LoopChain, ExitingBB, LoopBlockSet);
DEBUG({
// Crash at the end so we get all of the debugging output first.
}
// If PrevBB has a two-way branch, try to re-order the branches
- // such that we branch to the successor with higher weight first.
+ // such that we branch to the successor with higher probability first.
if (TBB && !Cond.empty() && FBB &&
- MBPI->getEdgeWeight(PrevBB, FBB) > MBPI->getEdgeWeight(PrevBB, TBB) &&
+ MBPI->getEdgeProbability(PrevBB, FBB) >
+ MBPI->getEdgeProbability(PrevBB, TBB) &&
!TII->ReverseBranchCondition(Cond)) {
DEBUG(dbgs() << "Reverse order of the two branches: "
<< getBlockName(PrevBB) << "\n");
- DEBUG(dbgs() << " Edge weight: " << MBPI->getEdgeWeight(PrevBB, FBB)
- << " vs " << MBPI->getEdgeWeight(PrevBB, TBB) << "\n");
+ DEBUG(dbgs() << " Edge probability: "
+ << MBPI->getEdgeProbability(PrevBB, FBB) << " vs "
+ << MBPI->getEdgeProbability(PrevBB, TBB) << "\n");
DebugLoc dl; // FIXME: this is nowhere
TII->RemoveBranch(*PrevBB);
TII->InsertBranch(*PrevBB, FBB, TBB, Cond, dl);
if (!L)
continue;
+ if (AlignAllLoops) {
+ ChainBB->setAlignment(AlignAllLoops);
+ continue;
+ }
+
unsigned Align = TLI->getPrefLoopAlignment(L);
if (!Align)
continue; // Don't care about loop alignment.
projects / oota-llvm.git / blobdiff