//==- MachineBranchProbabilityInfo.h - Machine Branch Probability Analysis -==// // // 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 on machine basic blocks. // //===----------------------------------------------------------------------===// #ifndef LLVM_CODEGEN_MACHINEBRANCHPROBABILITYINFO_H #define LLVM_CODEGEN_MACHINEBRANCHPROBABILITYINFO_H #include "llvm/CodeGen/MachineBasicBlock.h" #include "llvm/Pass.h" #include "llvm/Support/BranchProbability.h" #include namespace llvm { class MachineBranchProbabilityInfo : public ImmutablePass { virtual void anchor(); // 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; public: static char ID; MachineBranchProbabilityInfo() : ImmutablePass(ID) { PassRegistry &Registry = *PassRegistry::getPassRegistry(); initializeMachineBranchProbabilityInfoPass(Registry); } void getAnalysisUsage(AnalysisUsage &AU) const { AU.setPreservesAll(); } // Return edge weight. If we don't have any informations about it - return // DEFAULT_WEIGHT. uint32_t getEdgeWeight(const MachineBasicBlock *Src, const MachineBasicBlock *Dst) const; // Same thing, but using a const_succ_iterator from Src. This is faster when // the iterator is already available. uint32_t getEdgeWeight(const MachineBasicBlock *Src, MachineBasicBlock::const_succ_iterator Dst) const; // Get sum of the block successors' weights, potentially scaling them to fit // within 32-bits. If scaling is required, sets Scale based on the necessary // adjustment. Any edge weights used with the sum should be divided by Scale. uint32_t getSumForBlock(const MachineBasicBlock *MBB, uint32_t &Scale) const; // A 'Hot' edge is an edge which probability is >= 80%. bool isEdgeHot(MachineBasicBlock *Src, MachineBasicBlock *Dst) const; // Return a hot successor for the block BB or null if there isn't one. // NB: This routine's complexity is linear on the number of successors. MachineBasicBlock *getHotSucc(MachineBasicBlock *MBB) const; // Return a probability as a fraction between 0 (0% probability) and // 1 (100% probability), however the value is never equal to 0, and can be 1 // only iff SRC block has only one successor. // NB: This routine's complexity is linear on the number of successors of // Src. Querying sequentially for each successor's probability is a quadratic // query pattern. BranchProbability getEdgeProbability(MachineBasicBlock *Src, MachineBasicBlock *Dst) const; // Print value between 0 (0% probability) and 1 (100% probability), // however the value is never equal to 0, and can be 1 only iff SRC block // has only one successor. raw_ostream &printEdgeProbability(raw_ostream &OS, MachineBasicBlock *Src, MachineBasicBlock *Dst) const; }; } #endif