X-Git-Url: http://demsky.eecs.uci.edu/git/?a=blobdiff_plain;f=lib%2FAnalysis%2FBranchProbabilityInfo.cpp;h=bbd87505952216d88b8cad5f042b36e03ecf7288;hb=fd0a8133e56e6c48d04e395290da69c3926a48d1;hp=a6481cf359bfbab8d28037a28e0e55c0a6c71af0;hpb=fe808927ac50545ee434f14a4dd6bff44ac48a30;p=oota-llvm.git diff --git a/lib/Analysis/BranchProbabilityInfo.cpp b/lib/Analysis/BranchProbabilityInfo.cpp index a6481cf359b..bbd87505952 100644 --- a/lib/Analysis/BranchProbabilityInfo.cpp +++ b/lib/Analysis/BranchProbabilityInfo.cpp @@ -14,16 +14,18 @@ #include "llvm/Analysis/BranchProbabilityInfo.h" #include "llvm/ADT/PostOrderIterator.h" #include "llvm/Analysis/LoopInfo.h" +#include "llvm/IR/CFG.h" #include "llvm/IR/Constants.h" #include "llvm/IR/Function.h" #include "llvm/IR/Instructions.h" #include "llvm/IR/LLVMContext.h" #include "llvm/IR/Metadata.h" -#include "llvm/Support/CFG.h" #include "llvm/Support/Debug.h" using namespace llvm; +#define DEBUG_TYPE "branch-prob" + INITIALIZE_PASS_BEGIN(BranchProbabilityInfo, "branch-prob", "Branch Probability Analysis", false, true) INITIALIZE_PASS_DEPENDENCY(LoopInfo) @@ -151,8 +153,8 @@ bool BranchProbabilityInfo::calcUnreachableHeuristics(BasicBlock *BB) { uint32_t UnreachableWeight = std::max(UR_TAKEN_WEIGHT / (unsigned)UnreachableEdges.size(), MIN_WEIGHT); - for (SmallVector::iterator I = UnreachableEdges.begin(), - E = UnreachableEdges.end(); + for (SmallVectorImpl::iterator I = UnreachableEdges.begin(), + E = UnreachableEdges.end(); I != E; ++I) setEdgeWeight(BB, *I, UnreachableWeight); @@ -161,8 +163,8 @@ bool BranchProbabilityInfo::calcUnreachableHeuristics(BasicBlock *BB) { uint32_t ReachableWeight = std::max(UR_NONTAKEN_WEIGHT / (unsigned)ReachableEdges.size(), NORMAL_WEIGHT); - for (SmallVector::iterator I = ReachableEdges.begin(), - E = ReachableEdges.end(); + for (SmallVectorImpl::iterator I = ReachableEdges.begin(), + E = ReachableEdges.end(); I != E; ++I) setEdgeWeight(BB, *I, ReachableWeight); @@ -251,8 +253,8 @@ bool BranchProbabilityInfo::calcColdCallHeuristics(BasicBlock *BB) { uint32_t ColdWeight = std::max(CC_TAKEN_WEIGHT / (unsigned) ColdEdges.size(), MIN_WEIGHT); - for (SmallVector::iterator I = ColdEdges.begin(), - E = ColdEdges.end(); + for (SmallVectorImpl::iterator I = ColdEdges.begin(), + E = ColdEdges.end(); I != E; ++I) setEdgeWeight(BB, *I, ColdWeight); @@ -260,8 +262,8 @@ bool BranchProbabilityInfo::calcColdCallHeuristics(BasicBlock *BB) { return true; uint32_t NormalWeight = std::max( CC_NONTAKEN_WEIGHT / (unsigned) NormalEdges.size(), NORMAL_WEIGHT); - for (SmallVector::iterator I = NormalEdges.begin(), - E = NormalEdges.end(); + for (SmallVectorImpl::iterator I = NormalEdges.begin(), + E = NormalEdges.end(); I != E; ++I) setEdgeWeight(BB, *I, NormalWeight); @@ -321,12 +323,15 @@ bool BranchProbabilityInfo::calcLoopBranchHeuristics(BasicBlock *BB) { InEdges.push_back(I.getSuccessorIndex()); } + if (BackEdges.empty() && ExitingEdges.empty()) + return false; + if (uint32_t numBackEdges = BackEdges.size()) { uint32_t backWeight = LBH_TAKEN_WEIGHT / numBackEdges; if (backWeight < NORMAL_WEIGHT) backWeight = NORMAL_WEIGHT; - for (SmallVector::iterator EI = BackEdges.begin(), + for (SmallVectorImpl::iterator EI = BackEdges.begin(), EE = BackEdges.end(); EI != EE; ++EI) { setEdgeWeight(BB, *EI, backWeight); } @@ -337,7 +342,7 @@ bool BranchProbabilityInfo::calcLoopBranchHeuristics(BasicBlock *BB) { if (inWeight < NORMAL_WEIGHT) inWeight = NORMAL_WEIGHT; - for (SmallVector::iterator EI = InEdges.begin(), + for (SmallVectorImpl::iterator EI = InEdges.begin(), EE = InEdges.end(); EI != EE; ++EI) { setEdgeWeight(BB, *EI, inWeight); } @@ -348,7 +353,7 @@ bool BranchProbabilityInfo::calcLoopBranchHeuristics(BasicBlock *BB) { if (exitWeight < MIN_WEIGHT) exitWeight = MIN_WEIGHT; - for (SmallVector::iterator EI = ExitingEdges.begin(), + for (SmallVectorImpl::iterator EI = ExitingEdges.begin(), EE = ExitingEdges.end(); EI != EE; ++EI) { setEdgeWeight(BB, *EI, exitWeight); } @@ -398,10 +403,24 @@ bool BranchProbabilityInfo::calcZeroHeuristics(BasicBlock *BB) { // InstCombine canonicalizes X <= 0 into X < 1. // X <= 0 -> Unlikely isProb = false; - } else if (CV->isAllOnesValue() && CI->getPredicate() == CmpInst::ICMP_SGT) { - // InstCombine canonicalizes X >= 0 into X > -1. - // X >= 0 -> Likely - isProb = true; + } else if (CV->isAllOnesValue()) { + switch (CI->getPredicate()) { + case CmpInst::ICMP_EQ: + // X == -1 -> Unlikely + isProb = false; + break; + case CmpInst::ICMP_NE: + // X != -1 -> Likely + isProb = true; + break; + case CmpInst::ICMP_SGT: + // InstCombine canonicalizes X >= 0 into X > -1. + // X >= 0 -> Likely + isProb = true; + break; + default: + return false; + } } else { return false; } @@ -469,6 +488,8 @@ void BranchProbabilityInfo::getAnalysisUsage(AnalysisUsage &AU) const { } bool BranchProbabilityInfo::runOnFunction(Function &F) { + DEBUG(dbgs() << "---- Branch Probability Info : " << F.getName() + << " ----\n\n"); LastF = &F; // Store the last function we ran on for printing. LI = &getAnalysis(); assert(PostDominatedByUnreachable.empty()); @@ -540,7 +561,7 @@ isEdgeHot(const BasicBlock *Src, const BasicBlock *Dst) const { BasicBlock *BranchProbabilityInfo::getHotSucc(BasicBlock *BB) const { uint32_t Sum = 0; uint32_t MaxWeight = 0; - BasicBlock *MaxSucc = 0; + BasicBlock *MaxSucc = nullptr; for (succ_iterator I = succ_begin(BB), E = succ_end(BB); I != E; ++I) { BasicBlock *Succ = *I; @@ -560,7 +581,7 @@ BasicBlock *BranchProbabilityInfo::getHotSucc(BasicBlock *BB) const { if (BranchProbability(MaxWeight, Sum) > BranchProbability(4, 5)) return MaxSucc; - return 0; + return nullptr; } /// Get the raw edge weight for the edge. If can't find it, return @@ -577,6 +598,11 @@ getEdgeWeight(const BasicBlock *Src, unsigned IndexInSuccessors) const { return DEFAULT_WEIGHT; } +uint32_t BranchProbabilityInfo::getEdgeWeight(const BasicBlock *Src, + succ_const_iterator Dst) const { + return getEdgeWeight(Src, Dst.getSuccessorIndex()); +} + /// Get the raw edge weight calculated for the block pair. This returns the sum /// of all raw edge weights from Src to Dst. uint32_t BranchProbabilityInfo::