X-Git-Url: http://demsky.eecs.uci.edu/git/?a=blobdiff_plain;f=lib%2FCodeGen%2FMachineBranchProbabilityInfo.cpp;h=447921147f03567db30ebf73b5d3575bb59f6773;hb=e3d0e86919730784faaddcb5d9b0257c39b0804b;hp=0037d525151226ee9d3accfa14f8434deeefebd5;hpb=2770c141856eefda6a192622bf5fd5b06bef4963;p=oota-llvm.git diff --git a/lib/CodeGen/MachineBranchProbabilityInfo.cpp b/lib/CodeGen/MachineBranchProbabilityInfo.cpp index 0037d525151..447921147f0 100644 --- a/lib/CodeGen/MachineBranchProbabilityInfo.cpp +++ b/lib/CodeGen/MachineBranchProbabilityInfo.cpp @@ -26,8 +26,10 @@ INITIALIZE_PASS_END(MachineBranchProbabilityInfo, "machine-branch-prob", char MachineBranchProbabilityInfo::ID = 0; +void MachineBranchProbabilityInfo::anchor() { } + uint32_t MachineBranchProbabilityInfo:: -getSumForBlock(MachineBasicBlock *MBB, uint32_t &Scale) const { +getSumForBlock(const MachineBasicBlock *MBB, uint32_t &Scale) const { // First we compute the sum with 64-bits of precision, ensuring that cannot // overflow by bounding the number of weights considered. Hopefully no one // actually needs 2^32 successors. @@ -36,7 +38,7 @@ getSumForBlock(MachineBasicBlock *MBB, uint32_t &Scale) const { Scale = 1; for (MachineBasicBlock::const_succ_iterator I = MBB->succ_begin(), E = MBB->succ_end(); I != E; ++I) { - uint32_t Weight = getEdgeWeight(MBB, *I); + uint32_t Weight = getEdgeWeight(MBB, I); Sum += Weight; } @@ -51,22 +53,30 @@ getSumForBlock(MachineBasicBlock *MBB, uint32_t &Scale) const { Sum = 0; for (MachineBasicBlock::const_succ_iterator I = MBB->succ_begin(), E = MBB->succ_end(); I != E; ++I) { - uint32_t Weight = getEdgeWeight(MBB, *I); + uint32_t Weight = getEdgeWeight(MBB, I); Sum += Weight / Scale; } assert(Sum <= UINT32_MAX); return Sum; } -uint32_t -MachineBranchProbabilityInfo::getEdgeWeight(MachineBasicBlock *Src, - MachineBasicBlock *Dst) const { +uint32_t MachineBranchProbabilityInfo:: +getEdgeWeight(const MachineBasicBlock *Src, + MachineBasicBlock::const_succ_iterator Dst) const { uint32_t Weight = Src->getSuccWeight(Dst); if (!Weight) return DEFAULT_WEIGHT; return Weight; } +uint32_t MachineBranchProbabilityInfo:: +getEdgeWeight(const MachineBasicBlock *Src, + const MachineBasicBlock *Dst) const { + // This is a linear search. Try to use the const_succ_iterator version when + // possible. + return getEdgeWeight(Src, std::find(Src->succ_begin(), Src->succ_end(), Dst)); +} + bool MachineBranchProbabilityInfo::isEdgeHot(MachineBasicBlock *Src, MachineBasicBlock *Dst) const { // Hot probability is at least 4/5 = 80% @@ -76,26 +86,18 @@ bool MachineBranchProbabilityInfo::isEdgeHot(MachineBasicBlock *Src, MachineBasicBlock * MachineBranchProbabilityInfo::getHotSucc(MachineBasicBlock *MBB) const { - uint32_t Sum = 0; uint32_t MaxWeight = 0; MachineBasicBlock *MaxSucc = 0; - for (MachineBasicBlock::const_succ_iterator I = MBB->succ_begin(), E = MBB->succ_end(); I != E; ++I) { - MachineBasicBlock *Succ = *I; - uint32_t Weight = getEdgeWeight(MBB, Succ); - uint32_t PrevSum = Sum; - - Sum += Weight; - assert(Sum > PrevSum); (void) PrevSum; - + uint32_t Weight = getEdgeWeight(MBB, I); if (Weight > MaxWeight) { MaxWeight = Weight; - MaxSucc = Succ; + MaxSucc = *I; } } - if (BranchProbability(MaxWeight, Sum) >= BranchProbability(4, 5)) + if (getEdgeProbability(MBB, MaxSucc) >= BranchProbability(4, 5)) return MaxSucc; return 0;