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llvm-mirror/include/llvm/Analysis/BranchProbabilityInfo.h
John Brawn 9f05fb5e02 [BPI] Don't assume that strcmp returning >0 is more likely than <0
The zero heuristic assumes that integers are more likely positive than negative,
but this also has the effect of assuming that strcmp return values are more
likely positive than negative. Given that for nonzero strcmp return values it's
the ordering of arguments that determines the sign of the result there's no
reason to assume that's true.

Fix this by inspecting the LHS of the compare and using TargetLibraryInfo to
decide if it's strcmp-like, and if so only assume that nonzero is more likely
than zero i.e. strings are more often different than the same. This causes a
slight code generation change in the spec2006 benchmark 403.gcc, but with no
noticeable performance impact. The intent of this patch is to allow better
optimisation of dhrystone on Cortex-M cpus, but currently it won't as there are
also some changes that need to be made to if-conversion.

Differential Revision: https://reviews.llvm.org/D33934

llvm-svn: 304970
2017-06-08 09:44:40 +00:00

230 lines
9.0 KiB
C++

//===--- BranchProbabilityInfo.h - Branch Probability Analysis --*- C++ -*-===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
//
// This pass is used to evaluate branch probabilties.
//
//===----------------------------------------------------------------------===//
#ifndef LLVM_ANALYSIS_BRANCHPROBABILITYINFO_H
#define LLVM_ANALYSIS_BRANCHPROBABILITYINFO_H
#include "llvm/ADT/DenseMap.h"
#include "llvm/ADT/DenseSet.h"
#include "llvm/ADT/SmallPtrSet.h"
#include "llvm/IR/CFG.h"
#include "llvm/IR/PassManager.h"
#include "llvm/IR/ValueHandle.h"
#include "llvm/InitializePasses.h"
#include "llvm/Pass.h"
#include "llvm/Support/BranchProbability.h"
namespace llvm {
class LoopInfo;
class TargetLibraryInfo;
class raw_ostream;
/// \brief Analysis providing branch probability information.
///
/// This is a function analysis which provides information on the relative
/// probabilities of each "edge" in the function's CFG where such an edge is
/// defined by a pair (PredBlock and an index in the successors). The
/// probability of an edge from one block is always relative to the
/// probabilities of other edges from the block. The probabilites of all edges
/// from a block sum to exactly one (100%).
/// We use a pair (PredBlock and an index in the successors) to uniquely
/// identify an edge, since we can have multiple edges from Src to Dst.
/// As an example, we can have a switch which jumps to Dst with value 0 and
/// value 10.
class BranchProbabilityInfo {
public:
BranchProbabilityInfo() {}
BranchProbabilityInfo(const Function &F, const LoopInfo &LI,
const TargetLibraryInfo *TLI = nullptr) {
calculate(F, LI, TLI);
}
BranchProbabilityInfo(BranchProbabilityInfo &&Arg)
: Probs(std::move(Arg.Probs)), LastF(Arg.LastF),
PostDominatedByUnreachable(std::move(Arg.PostDominatedByUnreachable)),
PostDominatedByColdCall(std::move(Arg.PostDominatedByColdCall)) {}
BranchProbabilityInfo &operator=(BranchProbabilityInfo &&RHS) {
releaseMemory();
Probs = std::move(RHS.Probs);
PostDominatedByColdCall = std::move(RHS.PostDominatedByColdCall);
PostDominatedByUnreachable = std::move(RHS.PostDominatedByUnreachable);
return *this;
}
void releaseMemory();
void print(raw_ostream &OS) const;
/// \brief Get an edge's probability, relative to other out-edges of the Src.
///
/// This routine provides access to the fractional probability between zero
/// (0%) and one (100%) of this edge executing, relative to other edges
/// leaving the 'Src' block. The returned probability is never zero, and can
/// only be one if the source block has only one successor.
BranchProbability getEdgeProbability(const BasicBlock *Src,
unsigned IndexInSuccessors) const;
/// \brief Get the probability of going from Src to Dst.
///
/// It returns the sum of all probabilities for edges from Src to Dst.
BranchProbability getEdgeProbability(const BasicBlock *Src,
const BasicBlock *Dst) const;
BranchProbability getEdgeProbability(const BasicBlock *Src,
succ_const_iterator Dst) const;
/// \brief Test if an edge is hot relative to other out-edges of the Src.
///
/// Check whether this edge out of the source block is 'hot'. We define hot
/// as having a relative probability >= 80%.
bool isEdgeHot(const BasicBlock *Src, const BasicBlock *Dst) const;
/// \brief Retrieve the hot successor of a block if one exists.
///
/// Given a basic block, look through its successors and if one exists for
/// which \see isEdgeHot would return true, return that successor block.
const BasicBlock *getHotSucc(const BasicBlock *BB) const;
/// \brief Print an edge's probability.
///
/// Retrieves an edge's probability similarly to \see getEdgeProbability, but
/// then prints that probability to the provided stream. That stream is then
/// returned.
raw_ostream &printEdgeProbability(raw_ostream &OS, const BasicBlock *Src,
const BasicBlock *Dst) const;
/// \brief Set the raw edge probability for the given edge.
///
/// This allows a pass to explicitly set the edge probability for an edge. It
/// can be used when updating the CFG to update and preserve the branch
/// probability information. Read the implementation of how these edge
/// probabilities are calculated carefully before using!
void setEdgeProbability(const BasicBlock *Src, unsigned IndexInSuccessors,
BranchProbability Prob);
static BranchProbability getBranchProbStackProtector(bool IsLikely) {
static const BranchProbability LikelyProb((1u << 20) - 1, 1u << 20);
return IsLikely ? LikelyProb : LikelyProb.getCompl();
}
void calculate(const Function &F, const LoopInfo &LI,
const TargetLibraryInfo *TLI = nullptr);
/// Forget analysis results for the given basic block.
void eraseBlock(const BasicBlock *BB);
private:
void operator=(const BranchProbabilityInfo &) = delete;
BranchProbabilityInfo(const BranchProbabilityInfo &) = delete;
// We need to store CallbackVH's in order to correctly handle basic block
// removal.
class BasicBlockCallbackVH final : public CallbackVH {
BranchProbabilityInfo *BPI;
void deleted() override {
assert(BPI != nullptr);
BPI->eraseBlock(cast<BasicBlock>(getValPtr()));
BPI->Handles.erase(*this);
}
public:
BasicBlockCallbackVH(const Value *V, BranchProbabilityInfo *BPI=nullptr)
: CallbackVH(const_cast<Value *>(V)), BPI(BPI) {}
};
DenseSet<BasicBlockCallbackVH, DenseMapInfo<Value*>> Handles;
// Since we allow duplicate edges from one basic block to another, we use
// a pair (PredBlock and an index in the successors) to specify an edge.
typedef std::pair<const BasicBlock *, unsigned> Edge;
// Default weight value. Used when we don't have information about the edge.
// TODO: DEFAULT_WEIGHT makes sense during static predication, when none of
// the successors have a weight yet. But it doesn't make sense when providing
// weight to an edge that may have siblings with non-zero weights. This can
// be handled various ways, but it's probably fine for an edge with unknown
// weight to just "inherit" the non-zero weight of an adjacent successor.
static const uint32_t DEFAULT_WEIGHT = 16;
DenseMap<Edge, BranchProbability> Probs;
/// \brief Track the last function we run over for printing.
const Function *LastF;
/// \brief Track the set of blocks directly succeeded by a returning block.
SmallPtrSet<const BasicBlock *, 16> PostDominatedByUnreachable;
/// \brief Track the set of blocks that always lead to a cold call.
SmallPtrSet<const BasicBlock *, 16> PostDominatedByColdCall;
void updatePostDominatedByUnreachable(const BasicBlock *BB);
void updatePostDominatedByColdCall(const BasicBlock *BB);
bool calcUnreachableHeuristics(const BasicBlock *BB);
bool calcMetadataWeights(const BasicBlock *BB);
bool calcColdCallHeuristics(const BasicBlock *BB);
bool calcPointerHeuristics(const BasicBlock *BB);
bool calcLoopBranchHeuristics(const BasicBlock *BB, const LoopInfo &LI);
bool calcZeroHeuristics(const BasicBlock *BB, const TargetLibraryInfo *TLI);
bool calcFloatingPointHeuristics(const BasicBlock *BB);
bool calcInvokeHeuristics(const BasicBlock *BB);
};
/// \brief Analysis pass which computes \c BranchProbabilityInfo.
class BranchProbabilityAnalysis
: public AnalysisInfoMixin<BranchProbabilityAnalysis> {
friend AnalysisInfoMixin<BranchProbabilityAnalysis>;
static AnalysisKey Key;
public:
/// \brief Provide the result typedef for this analysis pass.
typedef BranchProbabilityInfo Result;
/// \brief Run the analysis pass over a function and produce BPI.
BranchProbabilityInfo run(Function &F, FunctionAnalysisManager &AM);
};
/// \brief Printer pass for the \c BranchProbabilityAnalysis results.
class BranchProbabilityPrinterPass
: public PassInfoMixin<BranchProbabilityPrinterPass> {
raw_ostream &OS;
public:
explicit BranchProbabilityPrinterPass(raw_ostream &OS) : OS(OS) {}
PreservedAnalyses run(Function &F, FunctionAnalysisManager &AM);
};
/// \brief Legacy analysis pass which computes \c BranchProbabilityInfo.
class BranchProbabilityInfoWrapperPass : public FunctionPass {
BranchProbabilityInfo BPI;
public:
static char ID;
BranchProbabilityInfoWrapperPass() : FunctionPass(ID) {
initializeBranchProbabilityInfoWrapperPassPass(
*PassRegistry::getPassRegistry());
}
BranchProbabilityInfo &getBPI() { return BPI; }
const BranchProbabilityInfo &getBPI() const { return BPI; }
void getAnalysisUsage(AnalysisUsage &AU) const override;
bool runOnFunction(Function &F) override;
void releaseMemory() override;
void print(raw_ostream &OS, const Module *M = nullptr) const override;
};
}
#endif