//===- LoopStrengthReduce.cpp - Strength Reduce IVs in Loops --------------===// // // The LLVM Compiler Infrastructure // // This file is distributed under the University of Illinois Open Source // License. See LICENSE.TXT for details. // //===----------------------------------------------------------------------===// // // This transformation analyzes and transforms the induction variables (and // computations derived from them) into forms suitable for efficient execution // on the target. // // This pass performs a strength reduction on array references inside loops that // have as one or more of their components the loop induction variable, it // rewrites expressions to take advantage of scaled-index addressing modes // available on the target, and it performs a variety of other optimizations // related to loop induction variables. // // Terminology note: this code has a lot of handling for "post-increment" or // "post-inc" users. This is not talking about post-increment addressing modes; // it is instead talking about code like this: // // %i = phi [ 0, %entry ], [ %i.next, %latch ] // ... // %i.next = add %i, 1 // %c = icmp eq %i.next, %n // // The SCEV for %i is {0,+,1}<%L>. The SCEV for %i.next is {1,+,1}<%L>, however // it's useful to think about these as the same register, with some uses using // the value of the register before the add and some using // it after. In this // example, the icmp is a post-increment user, since it uses %i.next, which is // the value of the induction variable after the increment. The other common // case of post-increment users is users outside the loop. // // TODO: More sophistication in the way Formulae are generated and filtered. // // TODO: Handle multiple loops at a time. // // TODO: Should TargetLowering::AddrMode::BaseGV be changed to a ConstantExpr // instead of a GlobalValue? // // TODO: When truncation is free, truncate ICmp users' operands to make it a // smaller encoding (on x86 at least). // // TODO: When a negated register is used by an add (such as in a list of // multiple base registers, or as the increment expression in an addrec), // we may not actually need both reg and (-1 * reg) in registers; the // negation can be implemented by using a sub instead of an add. The // lack of support for taking this into consideration when making // register pressure decisions is partly worked around by the "Special" // use kind. // //===----------------------------------------------------------------------===// #define DEBUG_TYPE "loop-reduce" #include "llvm/Transforms/Scalar.h" #include "llvm/Constants.h" #include "llvm/Instructions.h" #include "llvm/IntrinsicInst.h" #include "llvm/DerivedTypes.h" #include "llvm/Analysis/IVUsers.h" #include "llvm/Analysis/Dominators.h" #include "llvm/Analysis/LoopPass.h" #include "llvm/Analysis/ScalarEvolutionExpander.h" #include "llvm/Transforms/Utils/BasicBlockUtils.h" #include "llvm/Transforms/Utils/Local.h" #include "llvm/ADT/SmallBitVector.h" #include "llvm/ADT/SetVector.h" #include "llvm/ADT/DenseSet.h" #include "llvm/Support/Debug.h" #include "llvm/Support/ValueHandle.h" #include "llvm/Support/raw_ostream.h" #include "llvm/Target/TargetLowering.h" #include using namespace llvm; namespace { /// RegSortData - This class holds data which is used to order reuse candidates. class RegSortData { public: /// UsedByIndices - This represents the set of LSRUse indices which reference /// a particular register. SmallBitVector UsedByIndices; RegSortData() {} void print(raw_ostream &OS) const; void dump() const; }; } void RegSortData::print(raw_ostream &OS) const { OS << "[NumUses=" << UsedByIndices.count() << ']'; } void RegSortData::dump() const { print(errs()); errs() << '\n'; } namespace { /// RegUseTracker - Map register candidates to information about how they are /// used. class RegUseTracker { typedef DenseMap RegUsesTy; RegUsesTy RegUsesMap; SmallVector RegSequence; public: void CountRegister(const SCEV *Reg, size_t LUIdx); void DropRegister(const SCEV *Reg, size_t LUIdx); void DropUse(size_t LUIdx); bool isRegUsedByUsesOtherThan(const SCEV *Reg, size_t LUIdx) const; const SmallBitVector &getUsedByIndices(const SCEV *Reg) const; void clear(); typedef SmallVectorImpl::iterator iterator; typedef SmallVectorImpl::const_iterator const_iterator; iterator begin() { return RegSequence.begin(); } iterator end() { return RegSequence.end(); } const_iterator begin() const { return RegSequence.begin(); } const_iterator end() const { return RegSequence.end(); } }; } void RegUseTracker::CountRegister(const SCEV *Reg, size_t LUIdx) { std::pair Pair = RegUsesMap.insert(std::make_pair(Reg, RegSortData())); RegSortData &RSD = Pair.first->second; if (Pair.second) RegSequence.push_back(Reg); RSD.UsedByIndices.resize(std::max(RSD.UsedByIndices.size(), LUIdx + 1)); RSD.UsedByIndices.set(LUIdx); } void RegUseTracker::DropRegister(const SCEV *Reg, size_t LUIdx) { RegUsesTy::iterator It = RegUsesMap.find(Reg); assert(It != RegUsesMap.end()); RegSortData &RSD = It->second; assert(RSD.UsedByIndices.size() > LUIdx); RSD.UsedByIndices.reset(LUIdx); } void RegUseTracker::DropUse(size_t LUIdx) { // Remove the use index from every register's use list. for (RegUsesTy::iterator I = RegUsesMap.begin(), E = RegUsesMap.end(); I != E; ++I) I->second.UsedByIndices.reset(LUIdx); } bool RegUseTracker::isRegUsedByUsesOtherThan(const SCEV *Reg, size_t LUIdx) const { RegUsesTy::const_iterator I = RegUsesMap.find(Reg); if (I == RegUsesMap.end()) return false; const SmallBitVector &UsedByIndices = I->second.UsedByIndices; int i = UsedByIndices.find_first(); if (i == -1) return false; if ((size_t)i != LUIdx) return true; return UsedByIndices.find_next(i) != -1; } const SmallBitVector &RegUseTracker::getUsedByIndices(const SCEV *Reg) const { RegUsesTy::const_iterator I = RegUsesMap.find(Reg); assert(I != RegUsesMap.end() && "Unknown register!"); return I->second.UsedByIndices; } void RegUseTracker::clear() { RegUsesMap.clear(); RegSequence.clear(); } namespace { /// Formula - This class holds information that describes a formula for /// computing satisfying a use. It may include broken-out immediates and scaled /// registers. struct Formula { /// AM - This is used to represent complex addressing, as well as other kinds /// of interesting uses. TargetLowering::AddrMode AM; /// BaseRegs - The list of "base" registers for this use. When this is /// non-empty, AM.HasBaseReg should be set to true. SmallVector BaseRegs; /// ScaledReg - The 'scaled' register for this use. This should be non-null /// when AM.Scale is not zero. const SCEV *ScaledReg; Formula() : ScaledReg(0) {} void InitialMatch(const SCEV *S, Loop *L, ScalarEvolution &SE, DominatorTree &DT); unsigned getNumRegs() const; const Type *getType() const; void DeleteBaseReg(const SCEV *&S); bool referencesReg(const SCEV *S) const; bool hasRegsUsedByUsesOtherThan(size_t LUIdx, const RegUseTracker &RegUses) const; void print(raw_ostream &OS) const; void dump() const; }; } /// DoInitialMatch - Recursion helper for InitialMatch. static void DoInitialMatch(const SCEV *S, Loop *L, SmallVectorImpl &Good, SmallVectorImpl &Bad, ScalarEvolution &SE, DominatorTree &DT) { // Collect expressions which properly dominate the loop header. if (S->properlyDominates(L->getHeader(), &DT)) { Good.push_back(S); return; } // Look at add operands. if (const SCEVAddExpr *Add = dyn_cast(S)) { for (SCEVAddExpr::op_iterator I = Add->op_begin(), E = Add->op_end(); I != E; ++I) DoInitialMatch(*I, L, Good, Bad, SE, DT); return; } // Look at addrec operands. if (const SCEVAddRecExpr *AR = dyn_cast(S)) if (!AR->getStart()->isZero()) { DoInitialMatch(AR->getStart(), L, Good, Bad, SE, DT); DoInitialMatch(SE.getAddRecExpr(SE.getConstant(AR->getType(), 0), AR->getStepRecurrence(SE), AR->getLoop()), L, Good, Bad, SE, DT); return; } // Handle a multiplication by -1 (negation) if it didn't fold. if (const SCEVMulExpr *Mul = dyn_cast(S)) if (Mul->getOperand(0)->isAllOnesValue()) { SmallVector Ops(Mul->op_begin()+1, Mul->op_end()); const SCEV *NewMul = SE.getMulExpr(Ops); SmallVector MyGood; SmallVector MyBad; DoInitialMatch(NewMul, L, MyGood, MyBad, SE, DT); const SCEV *NegOne = SE.getSCEV(ConstantInt::getAllOnesValue( SE.getEffectiveSCEVType(NewMul->getType()))); for (SmallVectorImpl::const_iterator I = MyGood.begin(), E = MyGood.end(); I != E; ++I) Good.push_back(SE.getMulExpr(NegOne, *I)); for (SmallVectorImpl::const_iterator I = MyBad.begin(), E = MyBad.end(); I != E; ++I) Bad.push_back(SE.getMulExpr(NegOne, *I)); return; } // Ok, we can't do anything interesting. Just stuff the whole thing into a // register and hope for the best. Bad.push_back(S); } /// InitialMatch - Incorporate loop-variant parts of S into this Formula, /// attempting to keep all loop-invariant and loop-computable values in a /// single base register. void Formula::InitialMatch(const SCEV *S, Loop *L, ScalarEvolution &SE, DominatorTree &DT) { SmallVector Good; SmallVector Bad; DoInitialMatch(S, L, Good, Bad, SE, DT); if (!Good.empty()) { const SCEV *Sum = SE.getAddExpr(Good); if (!Sum->isZero()) BaseRegs.push_back(Sum); AM.HasBaseReg = true; } if (!Bad.empty()) { const SCEV *Sum = SE.getAddExpr(Bad); if (!Sum->isZero()) BaseRegs.push_back(Sum); AM.HasBaseReg = true; } } /// getNumRegs - Return the total number of register operands used by this /// formula. This does not include register uses implied by non-constant /// addrec strides. unsigned Formula::getNumRegs() const { return !!ScaledReg + BaseRegs.size(); } /// getType - Return the type of this formula, if it has one, or null /// otherwise. This type is meaningless except for the bit size. const Type *Formula::getType() const { return !BaseRegs.empty() ? BaseRegs.front()->getType() : ScaledReg ? ScaledReg->getType() : AM.BaseGV ? AM.BaseGV->getType() : 0; } /// DeleteBaseReg - Delete the given base reg from the BaseRegs list. void Formula::DeleteBaseReg(const SCEV *&S) { if (&S != &BaseRegs.back()) std::swap(S, BaseRegs.back()); BaseRegs.pop_back(); } /// referencesReg - Test if this formula references the given register. bool Formula::referencesReg(const SCEV *S) const { return S == ScaledReg || std::find(BaseRegs.begin(), BaseRegs.end(), S) != BaseRegs.end(); } /// hasRegsUsedByUsesOtherThan - Test whether this formula uses registers /// which are used by uses other than the use with the given index. bool Formula::hasRegsUsedByUsesOtherThan(size_t LUIdx, const RegUseTracker &RegUses) const { if (ScaledReg) if (RegUses.isRegUsedByUsesOtherThan(ScaledReg, LUIdx)) return true; for (SmallVectorImpl::const_iterator I = BaseRegs.begin(), E = BaseRegs.end(); I != E; ++I) if (RegUses.isRegUsedByUsesOtherThan(*I, LUIdx)) return true; return false; } void Formula::print(raw_ostream &OS) const { bool First = true; if (AM.BaseGV) { if (!First) OS << " + "; else First = false; WriteAsOperand(OS, AM.BaseGV, /*PrintType=*/false); } if (AM.BaseOffs != 0) { if (!First) OS << " + "; else First = false; OS << AM.BaseOffs; } for (SmallVectorImpl::const_iterator I = BaseRegs.begin(), E = BaseRegs.end(); I != E; ++I) { if (!First) OS << " + "; else First = false; OS << "reg(" << **I << ')'; } if (AM.HasBaseReg && BaseRegs.empty()) { if (!First) OS << " + "; else First = false; OS << "**error: HasBaseReg**"; } else if (!AM.HasBaseReg && !BaseRegs.empty()) { if (!First) OS << " + "; else First = false; OS << "**error: !HasBaseReg**"; } if (AM.Scale != 0) { if (!First) OS << " + "; else First = false; OS << AM.Scale << "*reg("; if (ScaledReg) OS << *ScaledReg; else OS << ""; OS << ')'; } } void Formula::dump() const { print(errs()); errs() << '\n'; } /// isAddRecSExtable - Return true if the given addrec can be sign-extended /// without changing its value. static bool isAddRecSExtable(const SCEVAddRecExpr *AR, ScalarEvolution &SE) { const Type *WideTy = IntegerType::get(SE.getContext(), SE.getTypeSizeInBits(AR->getType()) + 1); return isa(SE.getSignExtendExpr(AR, WideTy)); } /// isAddSExtable - Return true if the given add can be sign-extended /// without changing its value. static bool isAddSExtable(const SCEVAddExpr *A, ScalarEvolution &SE) { const Type *WideTy = IntegerType::get(SE.getContext(), SE.getTypeSizeInBits(A->getType()) + 1); return isa(SE.getSignExtendExpr(A, WideTy)); } /// isMulSExtable - Return true if the given mul can be sign-extended /// without changing its value. static bool isMulSExtable(const SCEVMulExpr *M, ScalarEvolution &SE) { const Type *WideTy = IntegerType::get(SE.getContext(), SE.getTypeSizeInBits(M->getType()) * M->getNumOperands()); return isa(SE.getSignExtendExpr(M, WideTy)); } /// getExactSDiv - Return an expression for LHS /s RHS, if it can be determined /// and if the remainder is known to be zero, or null otherwise. If /// IgnoreSignificantBits is true, expressions like (X * Y) /s Y are simplified /// to Y, ignoring that the multiplication may overflow, which is useful when /// the result will be used in a context where the most significant bits are /// ignored. static const SCEV *getExactSDiv(const SCEV *LHS, const SCEV *RHS, ScalarEvolution &SE, bool IgnoreSignificantBits = false) { // Handle the trivial case, which works for any SCEV type. if (LHS == RHS) return SE.getConstant(LHS->getType(), 1); // Handle a few RHS special cases. const SCEVConstant *RC = dyn_cast(RHS); if (RC) { const APInt &RA = RC->getValue()->getValue(); // Handle x /s -1 as x * -1, to give ScalarEvolution a chance to do // some folding. if (RA.isAllOnesValue()) return SE.getMulExpr(LHS, RC); // Handle x /s 1 as x. if (RA == 1) return LHS; } // Check for a division of a constant by a constant. if (const SCEVConstant *C = dyn_cast(LHS)) { if (!RC) return 0; const APInt &LA = C->getValue()->getValue(); const APInt &RA = RC->getValue()->getValue(); if (LA.srem(RA) != 0) return 0; return SE.getConstant(LA.sdiv(RA)); } // Distribute the sdiv over addrec operands, if the addrec doesn't overflow. if (const SCEVAddRecExpr *AR = dyn_cast(LHS)) { if (IgnoreSignificantBits || isAddRecSExtable(AR, SE)) { const SCEV *Step = getExactSDiv(AR->getStepRecurrence(SE), RHS, SE, IgnoreSignificantBits); if (!Step) return 0; const SCEV *Start = getExactSDiv(AR->getStart(), RHS, SE, IgnoreSignificantBits); if (!Start) return 0; return SE.getAddRecExpr(Start, Step, AR->getLoop()); } return 0; } // Distribute the sdiv over add operands, if the add doesn't overflow. if (const SCEVAddExpr *Add = dyn_cast(LHS)) { if (IgnoreSignificantBits || isAddSExtable(Add, SE)) { SmallVector Ops; for (SCEVAddExpr::op_iterator I = Add->op_begin(), E = Add->op_end(); I != E; ++I) { const SCEV *Op = getExactSDiv(*I, RHS, SE, IgnoreSignificantBits); if (!Op) return 0; Ops.push_back(Op); } return SE.getAddExpr(Ops); } return 0; } // Check for a multiply operand that we can pull RHS out of. if (const SCEVMulExpr *Mul = dyn_cast(LHS)) { if (IgnoreSignificantBits || isMulSExtable(Mul, SE)) { SmallVector Ops; bool Found = false; for (SCEVMulExpr::op_iterator I = Mul->op_begin(), E = Mul->op_end(); I != E; ++I) { const SCEV *S = *I; if (!Found) if (const SCEV *Q = getExactSDiv(S, RHS, SE, IgnoreSignificantBits)) { S = Q; Found = true; } Ops.push_back(S); } return Found ? SE.getMulExpr(Ops) : 0; } return 0; } // Otherwise we don't know. return 0; } /// ExtractImmediate - If S involves the addition of a constant integer value, /// return that integer value, and mutate S to point to a new SCEV with that /// value excluded. static int64_t ExtractImmediate(const SCEV *&S, ScalarEvolution &SE) { if (const SCEVConstant *C = dyn_cast(S)) { if (C->getValue()->getValue().getMinSignedBits() <= 64) { S = SE.getConstant(C->getType(), 0); return C->getValue()->getSExtValue(); } } else if (const SCEVAddExpr *Add = dyn_cast(S)) { SmallVector NewOps(Add->op_begin(), Add->op_end()); int64_t Result = ExtractImmediate(NewOps.front(), SE); if (Result != 0) S = SE.getAddExpr(NewOps); return Result; } else if (const SCEVAddRecExpr *AR = dyn_cast(S)) { SmallVector NewOps(AR->op_begin(), AR->op_end()); int64_t Result = ExtractImmediate(NewOps.front(), SE); if (Result != 0) S = SE.getAddRecExpr(NewOps, AR->getLoop()); return Result; } return 0; } /// ExtractSymbol - If S involves the addition of a GlobalValue address, /// return that symbol, and mutate S to point to a new SCEV with that /// value excluded. static GlobalValue *ExtractSymbol(const SCEV *&S, ScalarEvolution &SE) { if (const SCEVUnknown *U = dyn_cast(S)) { if (GlobalValue *GV = dyn_cast(U->getValue())) { S = SE.getConstant(GV->getType(), 0); return GV; } } else if (const SCEVAddExpr *Add = dyn_cast(S)) { SmallVector NewOps(Add->op_begin(), Add->op_end()); GlobalValue *Result = ExtractSymbol(NewOps.back(), SE); if (Result) S = SE.getAddExpr(NewOps); return Result; } else if (const SCEVAddRecExpr *AR = dyn_cast(S)) { SmallVector NewOps(AR->op_begin(), AR->op_end()); GlobalValue *Result = ExtractSymbol(NewOps.front(), SE); if (Result) S = SE.getAddRecExpr(NewOps, AR->getLoop()); return Result; } return 0; } /// isAddressUse - Returns true if the specified instruction is using the /// specified value as an address. static bool isAddressUse(Instruction *Inst, Value *OperandVal) { bool isAddress = isa(Inst); if (StoreInst *SI = dyn_cast(Inst)) { if (SI->getOperand(1) == OperandVal) isAddress = true; } else if (IntrinsicInst *II = dyn_cast(Inst)) { // Addressing modes can also be folded into prefetches and a variety // of intrinsics. switch (II->getIntrinsicID()) { default: break; case Intrinsic::prefetch: case Intrinsic::x86_sse2_loadu_dq: case Intrinsic::x86_sse2_loadu_pd: case Intrinsic::x86_sse_loadu_ps: case Intrinsic::x86_sse_storeu_ps: case Intrinsic::x86_sse2_storeu_pd: case Intrinsic::x86_sse2_storeu_dq: case Intrinsic::x86_sse2_storel_dq: if (II->getArgOperand(0) == OperandVal) isAddress = true; break; } } return isAddress; } /// getAccessType - Return the type of the memory being accessed. static const Type *getAccessType(const Instruction *Inst) { const Type *AccessTy = Inst->getType(); if (const StoreInst *SI = dyn_cast(Inst)) AccessTy = SI->getOperand(0)->getType(); else if (const IntrinsicInst *II = dyn_cast(Inst)) { // Addressing modes can also be folded into prefetches and a variety // of intrinsics. switch (II->getIntrinsicID()) { default: break; case Intrinsic::x86_sse_storeu_ps: case Intrinsic::x86_sse2_storeu_pd: case Intrinsic::x86_sse2_storeu_dq: case Intrinsic::x86_sse2_storel_dq: AccessTy = II->getArgOperand(0)->getType(); break; } } // All pointers have the same requirements, so canonicalize them to an // arbitrary pointer type to minimize variation. if (const PointerType *PTy = dyn_cast(AccessTy)) AccessTy = PointerType::get(IntegerType::get(PTy->getContext(), 1), PTy->getAddressSpace()); return AccessTy; } /// DeleteTriviallyDeadInstructions - If any of the instructions is the /// specified set are trivially dead, delete them and see if this makes any of /// their operands subsequently dead. static bool DeleteTriviallyDeadInstructions(SmallVectorImpl &DeadInsts) { bool Changed = false; while (!DeadInsts.empty()) { Instruction *I = dyn_cast_or_null(&*DeadInsts.pop_back_val()); if (I == 0 || !isInstructionTriviallyDead(I)) continue; for (User::op_iterator OI = I->op_begin(), E = I->op_end(); OI != E; ++OI) if (Instruction *U = dyn_cast(*OI)) { *OI = 0; if (U->use_empty()) DeadInsts.push_back(U); } I->eraseFromParent(); Changed = true; } return Changed; } namespace { /// Cost - This class is used to measure and compare candidate formulae. class Cost { /// TODO: Some of these could be merged. Also, a lexical ordering /// isn't always optimal. unsigned NumRegs; unsigned AddRecCost; unsigned NumIVMuls; unsigned NumBaseAdds; unsigned ImmCost; unsigned SetupCost; public: Cost() : NumRegs(0), AddRecCost(0), NumIVMuls(0), NumBaseAdds(0), ImmCost(0), SetupCost(0) {} bool operator<(const Cost &Other) const; void Loose(); void RateFormula(const Formula &F, SmallPtrSet &Regs, const DenseSet &VisitedRegs, const Loop *L, const SmallVectorImpl &Offsets, ScalarEvolution &SE, DominatorTree &DT); void print(raw_ostream &OS) const; void dump() const; private: void RateRegister(const SCEV *Reg, SmallPtrSet &Regs, const Loop *L, ScalarEvolution &SE, DominatorTree &DT); void RatePrimaryRegister(const SCEV *Reg, SmallPtrSet &Regs, const Loop *L, ScalarEvolution &SE, DominatorTree &DT); }; } /// RateRegister - Tally up interesting quantities from the given register. void Cost::RateRegister(const SCEV *Reg, SmallPtrSet &Regs, const Loop *L, ScalarEvolution &SE, DominatorTree &DT) { if (const SCEVAddRecExpr *AR = dyn_cast(Reg)) { if (AR->getLoop() == L) AddRecCost += 1; /// TODO: This should be a function of the stride. // If this is an addrec for a loop that's already been visited by LSR, // don't second-guess its addrec phi nodes. LSR isn't currently smart // enough to reason about more than one loop at a time. Consider these // registers free and leave them alone. else if (L->contains(AR->getLoop()) || (!AR->getLoop()->contains(L) && DT.dominates(L->getHeader(), AR->getLoop()->getHeader()))) { for (BasicBlock::iterator I = AR->getLoop()->getHeader()->begin(); PHINode *PN = dyn_cast(I); ++I) if (SE.isSCEVable(PN->getType()) && (SE.getEffectiveSCEVType(PN->getType()) == SE.getEffectiveSCEVType(AR->getType())) && SE.getSCEV(PN) == AR) return; // If this isn't one of the addrecs that the loop already has, it // would require a costly new phi and add. TODO: This isn't // precisely modeled right now. ++NumBaseAdds; if (!Regs.count(AR->getStart())) RateRegister(AR->getStart(), Regs, L, SE, DT); } // Add the step value register, if it needs one. // TODO: The non-affine case isn't precisely modeled here. if (!AR->isAffine() || !isa(AR->getOperand(1))) if (!Regs.count(AR->getStart())) RateRegister(AR->getOperand(1), Regs, L, SE, DT); } ++NumRegs; // Rough heuristic; favor registers which don't require extra setup // instructions in the preheader. if (!isa(Reg) && !isa(Reg) && !(isa(Reg) && (isa(cast(Reg)->getStart()) || isa(cast(Reg)->getStart())))) ++SetupCost; } /// RatePrimaryRegister - Record this register in the set. If we haven't seen it /// before, rate it. void Cost::RatePrimaryRegister(const SCEV *Reg, SmallPtrSet &Regs, const Loop *L, ScalarEvolution &SE, DominatorTree &DT) { if (Regs.insert(Reg)) RateRegister(Reg, Regs, L, SE, DT); } void Cost::RateFormula(const Formula &F, SmallPtrSet &Regs, const DenseSet &VisitedRegs, const Loop *L, const SmallVectorImpl &Offsets, ScalarEvolution &SE, DominatorTree &DT) { // Tally up the registers. if (const SCEV *ScaledReg = F.ScaledReg) { if (VisitedRegs.count(ScaledReg)) { Loose(); return; } RatePrimaryRegister(ScaledReg, Regs, L, SE, DT); } for (SmallVectorImpl::const_iterator I = F.BaseRegs.begin(), E = F.BaseRegs.end(); I != E; ++I) { const SCEV *BaseReg = *I; if (VisitedRegs.count(BaseReg)) { Loose(); return; } RatePrimaryRegister(BaseReg, Regs, L, SE, DT); NumIVMuls += isa(BaseReg) && BaseReg->hasComputableLoopEvolution(L); } if (F.BaseRegs.size() > 1) NumBaseAdds += F.BaseRegs.size() - 1; // Tally up the non-zero immediates. for (SmallVectorImpl::const_iterator I = Offsets.begin(), E = Offsets.end(); I != E; ++I) { int64_t Offset = (uint64_t)*I + F.AM.BaseOffs; if (F.AM.BaseGV) ImmCost += 64; // Handle symbolic values conservatively. // TODO: This should probably be the pointer size. else if (Offset != 0) ImmCost += APInt(64, Offset, true).getMinSignedBits(); } } /// Loose - Set this cost to a loosing value. void Cost::Loose() { NumRegs = ~0u; AddRecCost = ~0u; NumIVMuls = ~0u; NumBaseAdds = ~0u; ImmCost = ~0u; SetupCost = ~0u; } /// operator< - Choose the lower cost. bool Cost::operator<(const Cost &Other) const { if (NumRegs != Other.NumRegs) return NumRegs < Other.NumRegs; if (AddRecCost != Other.AddRecCost) return AddRecCost < Other.AddRecCost; if (NumIVMuls != Other.NumIVMuls) return NumIVMuls < Other.NumIVMuls; if (NumBaseAdds != Other.NumBaseAdds) return NumBaseAdds < Other.NumBaseAdds; if (ImmCost != Other.ImmCost) return ImmCost < Other.ImmCost; if (SetupCost != Other.SetupCost) return SetupCost < Other.SetupCost; return false; } void Cost::print(raw_ostream &OS) const { OS << NumRegs << " reg" << (NumRegs == 1 ? "" : "s"); if (AddRecCost != 0) OS << ", with addrec cost " << AddRecCost; if (NumIVMuls != 0) OS << ", plus " << NumIVMuls << " IV mul" << (NumIVMuls == 1 ? "" : "s"); if (NumBaseAdds != 0) OS << ", plus " << NumBaseAdds << " base add" << (NumBaseAdds == 1 ? "" : "s"); if (ImmCost != 0) OS << ", plus " << ImmCost << " imm cost"; if (SetupCost != 0) OS << ", plus " << SetupCost << " setup cost"; } void Cost::dump() const { print(errs()); errs() << '\n'; } namespace { /// LSRFixup - An operand value in an instruction which is to be replaced /// with some equivalent, possibly strength-reduced, replacement. struct LSRFixup { /// UserInst - The instruction which will be updated. Instruction *UserInst; /// OperandValToReplace - The operand of the instruction which will /// be replaced. The operand may be used more than once; every instance /// will be replaced. Value *OperandValToReplace; /// PostIncLoops - If this user is to use the post-incremented value of an /// induction variable, this variable is non-null and holds the loop /// associated with the induction variable. PostIncLoopSet PostIncLoops; /// LUIdx - The index of the LSRUse describing the expression which /// this fixup needs, minus an offset (below). size_t LUIdx; /// Offset - A constant offset to be added to the LSRUse expression. /// This allows multiple fixups to share the same LSRUse with different /// offsets, for example in an unrolled loop. int64_t Offset; bool isUseFullyOutsideLoop(const Loop *L) const; LSRFixup(); void print(raw_ostream &OS) const; void dump() const; }; } LSRFixup::LSRFixup() : UserInst(0), OperandValToReplace(0), LUIdx(~size_t(0)), Offset(0) {} /// isUseFullyOutsideLoop - Test whether this fixup always uses its /// value outside of the given loop. bool LSRFixup::isUseFullyOutsideLoop(const Loop *L) const { // PHI nodes use their value in their incoming blocks. if (const PHINode *PN = dyn_cast(UserInst)) { for (unsigned i = 0, e = PN->getNumIncomingValues(); i != e; ++i) if (PN->getIncomingValue(i) == OperandValToReplace && L->contains(PN->getIncomingBlock(i))) return false; return true; } return !L->contains(UserInst); } void LSRFixup::print(raw_ostream &OS) const { OS << "UserInst="; // Store is common and interesting enough to be worth special-casing. if (StoreInst *Store = dyn_cast(UserInst)) { OS << "store "; WriteAsOperand(OS, Store->getOperand(0), /*PrintType=*/false); } else if (UserInst->getType()->isVoidTy()) OS << UserInst->getOpcodeName(); else WriteAsOperand(OS, UserInst, /*PrintType=*/false); OS << ", OperandValToReplace="; WriteAsOperand(OS, OperandValToReplace, /*PrintType=*/false); for (PostIncLoopSet::const_iterator I = PostIncLoops.begin(), E = PostIncLoops.end(); I != E; ++I) { OS << ", PostIncLoop="; WriteAsOperand(OS, (*I)->getHeader(), /*PrintType=*/false); } if (LUIdx != ~size_t(0)) OS << ", LUIdx=" << LUIdx; if (Offset != 0) OS << ", Offset=" << Offset; } void LSRFixup::dump() const { print(errs()); errs() << '\n'; } namespace { /// UniquifierDenseMapInfo - A DenseMapInfo implementation for holding /// DenseMaps and DenseSets of sorted SmallVectors of const SCEV*. struct UniquifierDenseMapInfo { static SmallVector getEmptyKey() { SmallVector V; V.push_back(reinterpret_cast(-1)); return V; } static SmallVector getTombstoneKey() { SmallVector V; V.push_back(reinterpret_cast(-2)); return V; } static unsigned getHashValue(const SmallVector &V) { unsigned Result = 0; for (SmallVectorImpl::const_iterator I = V.begin(), E = V.end(); I != E; ++I) Result ^= DenseMapInfo::getHashValue(*I); return Result; } static bool isEqual(const SmallVector &LHS, const SmallVector &RHS) { return LHS == RHS; } }; /// LSRUse - This class holds the state that LSR keeps for each use in /// IVUsers, as well as uses invented by LSR itself. It includes information /// about what kinds of things can be folded into the user, information about /// the user itself, and information about how the use may be satisfied. /// TODO: Represent multiple users of the same expression in common? class LSRUse { DenseSet, UniquifierDenseMapInfo> Uniquifier; public: /// KindType - An enum for a kind of use, indicating what types of /// scaled and immediate operands it might support. enum KindType { Basic, ///< A normal use, with no folding. Special, ///< A special case of basic, allowing -1 scales. Address, ///< An address use; folding according to TargetLowering ICmpZero ///< An equality icmp with both operands folded into one. // TODO: Add a generic icmp too? }; KindType Kind; const Type *AccessTy; SmallVector Offsets; int64_t MinOffset; int64_t MaxOffset; /// AllFixupsOutsideLoop - This records whether all of the fixups using this /// LSRUse are outside of the loop, in which case some special-case heuristics /// may be used. bool AllFixupsOutsideLoop; /// WidestFixupType - This records the widest use type for any fixup using /// this LSRUse. FindUseWithSimilarFormula can't consider uses with different /// max fixup widths to be equivalent, because the narrower one may be relying /// on the implicit truncation to truncate away bogus bits. const Type *WidestFixupType; /// Formulae - A list of ways to build a value that can satisfy this user. /// After the list is populated, one of these is selected heuristically and /// used to formulate a replacement for OperandValToReplace in UserInst. SmallVector Formulae; /// Regs - The set of register candidates used by all formulae in this LSRUse. SmallPtrSet Regs; LSRUse(KindType K, const Type *T) : Kind(K), AccessTy(T), MinOffset(INT64_MAX), MaxOffset(INT64_MIN), AllFixupsOutsideLoop(true), WidestFixupType(0) {} bool HasFormulaWithSameRegs(const Formula &F) const; bool InsertFormula(const Formula &F); void DeleteFormula(Formula &F); void RecomputeRegs(size_t LUIdx, RegUseTracker &Reguses); void print(raw_ostream &OS) const; void dump() const; }; } /// HasFormula - Test whether this use as a formula which has the same /// registers as the given formula. bool LSRUse::HasFormulaWithSameRegs(const Formula &F) const { SmallVector Key = F.BaseRegs; if (F.ScaledReg) Key.push_back(F.ScaledReg); // Unstable sort by host order ok, because this is only used for uniquifying. std::sort(Key.begin(), Key.end()); return Uniquifier.count(Key); } /// InsertFormula - If the given formula has not yet been inserted, add it to /// the list, and return true. Return false otherwise. bool LSRUse::InsertFormula(const Formula &F) { SmallVector Key = F.BaseRegs; if (F.ScaledReg) Key.push_back(F.ScaledReg); // Unstable sort by host order ok, because this is only used for uniquifying. std::sort(Key.begin(), Key.end()); if (!Uniquifier.insert(Key).second) return false; // Using a register to hold the value of 0 is not profitable. assert((!F.ScaledReg || !F.ScaledReg->isZero()) && "Zero allocated in a scaled register!"); #ifndef NDEBUG for (SmallVectorImpl::const_iterator I = F.BaseRegs.begin(), E = F.BaseRegs.end(); I != E; ++I) assert(!(*I)->isZero() && "Zero allocated in a base register!"); #endif // Add the formula to the list. Formulae.push_back(F); // Record registers now being used by this use. if (F.ScaledReg) Regs.insert(F.ScaledReg); Regs.insert(F.BaseRegs.begin(), F.BaseRegs.end()); return true; } /// DeleteFormula - Remove the given formula from this use's list. void LSRUse::DeleteFormula(Formula &F) { if (&F != &Formulae.back()) std::swap(F, Formulae.back()); Formulae.pop_back(); assert(!Formulae.empty() && "LSRUse has no formulae left!"); } /// RecomputeRegs - Recompute the Regs field, and update RegUses. void LSRUse::RecomputeRegs(size_t LUIdx, RegUseTracker &RegUses) { // Now that we've filtered out some formulae, recompute the Regs set. SmallPtrSet OldRegs = Regs; Regs.clear(); for (SmallVectorImpl::const_iterator I = Formulae.begin(), E = Formulae.end(); I != E; ++I) { const Formula &F = *I; if (F.ScaledReg) Regs.insert(F.ScaledReg); Regs.insert(F.BaseRegs.begin(), F.BaseRegs.end()); } // Update the RegTracker. for (SmallPtrSet::iterator I = OldRegs.begin(), E = OldRegs.end(); I != E; ++I) if (!Regs.count(*I)) RegUses.DropRegister(*I, LUIdx); } void LSRUse::print(raw_ostream &OS) const { OS << "LSR Use: Kind="; switch (Kind) { case Basic: OS << "Basic"; break; case Special: OS << "Special"; break; case ICmpZero: OS << "ICmpZero"; break; case Address: OS << "Address of "; if (AccessTy->isPointerTy()) OS << "pointer"; // the full pointer type could be really verbose else OS << *AccessTy; } OS << ", Offsets={"; for (SmallVectorImpl::const_iterator I = Offsets.begin(), E = Offsets.end(); I != E; ++I) { OS << *I; if (llvm::next(I) != E) OS << ','; } OS << '}'; if (AllFixupsOutsideLoop) OS << ", all-fixups-outside-loop"; if (WidestFixupType) OS << ", widest fixup type: " << *WidestFixupType; } void LSRUse::dump() const { print(errs()); errs() << '\n'; } /// isLegalUse - Test whether the use described by AM is "legal", meaning it can /// be completely folded into the user instruction at isel time. This includes /// address-mode folding and special icmp tricks. static bool isLegalUse(const TargetLowering::AddrMode &AM, LSRUse::KindType Kind, const Type *AccessTy, const TargetLowering *TLI) { switch (Kind) { case LSRUse::Address: // If we have low-level target information, ask the target if it can // completely fold this address. if (TLI) return TLI->isLegalAddressingMode(AM, AccessTy); // Otherwise, just guess that reg+reg addressing is legal. return !AM.BaseGV && AM.BaseOffs == 0 && AM.Scale <= 1; case LSRUse::ICmpZero: // There's not even a target hook for querying whether it would be legal to // fold a GV into an ICmp. if (AM.BaseGV) return false; // ICmp only has two operands; don't allow more than two non-trivial parts. if (AM.Scale != 0 && AM.HasBaseReg && AM.BaseOffs != 0) return false; // ICmp only supports no scale or a -1 scale, as we can "fold" a -1 scale by // putting the scaled register in the other operand of the icmp. if (AM.Scale != 0 && AM.Scale != -1) return false; // If we have low-level target information, ask the target if it can fold an // integer immediate on an icmp. if (AM.BaseOffs != 0) { if (TLI) return TLI->isLegalICmpImmediate(-AM.BaseOffs); return false; } return true; case LSRUse::Basic: // Only handle single-register values. return !AM.BaseGV && AM.Scale == 0 && AM.BaseOffs == 0; case LSRUse::Special: // Only handle -1 scales, or no scale. return AM.Scale == 0 || AM.Scale == -1; } return false; } static bool isLegalUse(TargetLowering::AddrMode AM, int64_t MinOffset, int64_t MaxOffset, LSRUse::KindType Kind, const Type *AccessTy, const TargetLowering *TLI) { // Check for overflow. if (((int64_t)((uint64_t)AM.BaseOffs + MinOffset) > AM.BaseOffs) != (MinOffset > 0)) return false; AM.BaseOffs = (uint64_t)AM.BaseOffs + MinOffset; if (isLegalUse(AM, Kind, AccessTy, TLI)) { AM.BaseOffs = (uint64_t)AM.BaseOffs - MinOffset; // Check for overflow. if (((int64_t)((uint64_t)AM.BaseOffs + MaxOffset) > AM.BaseOffs) != (MaxOffset > 0)) return false; AM.BaseOffs = (uint64_t)AM.BaseOffs + MaxOffset; return isLegalUse(AM, Kind, AccessTy, TLI); } return false; } static bool isAlwaysFoldable(int64_t BaseOffs, GlobalValue *BaseGV, bool HasBaseReg, LSRUse::KindType Kind, const Type *AccessTy, const TargetLowering *TLI) { // Fast-path: zero is always foldable. if (BaseOffs == 0 && !BaseGV) return true; // Conservatively, create an address with an immediate and a // base and a scale. TargetLowering::AddrMode AM; AM.BaseOffs = BaseOffs; AM.BaseGV = BaseGV; AM.HasBaseReg = HasBaseReg; AM.Scale = Kind == LSRUse::ICmpZero ? -1 : 1; // Canonicalize a scale of 1 to a base register if the formula doesn't // already have a base register. if (!AM.HasBaseReg && AM.Scale == 1) { AM.Scale = 0; AM.HasBaseReg = true; } return isLegalUse(AM, Kind, AccessTy, TLI); } static bool isAlwaysFoldable(const SCEV *S, int64_t MinOffset, int64_t MaxOffset, bool HasBaseReg, LSRUse::KindType Kind, const Type *AccessTy, const TargetLowering *TLI, ScalarEvolution &SE) { // Fast-path: zero is always foldable. if (S->isZero()) return true; // Conservatively, create an address with an immediate and a // base and a scale. int64_t BaseOffs = ExtractImmediate(S, SE); GlobalValue *BaseGV = ExtractSymbol(S, SE); // If there's anything else involved, it's not foldable. if (!S->isZero()) return false; // Fast-path: zero is always foldable. if (BaseOffs == 0 && !BaseGV) return true; // Conservatively, create an address with an immediate and a // base and a scale. TargetLowering::AddrMode AM; AM.BaseOffs = BaseOffs; AM.BaseGV = BaseGV; AM.HasBaseReg = HasBaseReg; AM.Scale = Kind == LSRUse::ICmpZero ? -1 : 1; return isLegalUse(AM, MinOffset, MaxOffset, Kind, AccessTy, TLI); } namespace { /// UseMapDenseMapInfo - A DenseMapInfo implementation for holding /// DenseMaps and DenseSets of pairs of const SCEV* and LSRUse::Kind. struct UseMapDenseMapInfo { static std::pair getEmptyKey() { return std::make_pair(reinterpret_cast(-1), LSRUse::Basic); } static std::pair getTombstoneKey() { return std::make_pair(reinterpret_cast(-2), LSRUse::Basic); } static unsigned getHashValue(const std::pair &V) { unsigned Result = DenseMapInfo::getHashValue(V.first); Result ^= DenseMapInfo::getHashValue(unsigned(V.second)); return Result; } static bool isEqual(const std::pair &LHS, const std::pair &RHS) { return LHS == RHS; } }; /// FormulaSorter - This class implements an ordering for formulae which sorts /// the by their standalone cost. class FormulaSorter { /// These two sets are kept empty, so that we compute standalone costs. DenseSet VisitedRegs; SmallPtrSet Regs; Loop *L; LSRUse *LU; ScalarEvolution &SE; DominatorTree &DT; public: FormulaSorter(Loop *l, LSRUse &lu, ScalarEvolution &se, DominatorTree &dt) : L(l), LU(&lu), SE(se), DT(dt) {} bool operator()(const Formula &A, const Formula &B) { Cost CostA; CostA.RateFormula(A, Regs, VisitedRegs, L, LU->Offsets, SE, DT); Regs.clear(); Cost CostB; CostB.RateFormula(B, Regs, VisitedRegs, L, LU->Offsets, SE, DT); Regs.clear(); return CostA < CostB; } }; /// LSRInstance - This class holds state for the main loop strength reduction /// logic. class LSRInstance { IVUsers &IU; ScalarEvolution &SE; DominatorTree &DT; LoopInfo &LI; const TargetLowering *const TLI; Loop *const L; bool Changed; /// IVIncInsertPos - This is the insert position that the current loop's /// induction variable increment should be placed. In simple loops, this is /// the latch block's terminator. But in more complicated cases, this is a /// position which will dominate all the in-loop post-increment users. Instruction *IVIncInsertPos; /// Factors - Interesting factors between use strides. SmallSetVector Factors; /// Types - Interesting use types, to facilitate truncation reuse. SmallSetVector Types; /// Fixups - The list of operands which are to be replaced. SmallVector Fixups; /// Uses - The list of interesting uses. SmallVector Uses; /// RegUses - Track which uses use which register candidates. RegUseTracker RegUses; void OptimizeShadowIV(); bool FindIVUserForCond(ICmpInst *Cond, IVStrideUse *&CondUse); ICmpInst *OptimizeMax(ICmpInst *Cond, IVStrideUse* &CondUse); void OptimizeLoopTermCond(); void CollectInterestingTypesAndFactors(); void CollectFixupsAndInitialFormulae(); LSRFixup &getNewFixup() { Fixups.push_back(LSRFixup()); return Fixups.back(); } // Support for sharing of LSRUses between LSRFixups. typedef DenseMap, size_t, UseMapDenseMapInfo> UseMapTy; UseMapTy UseMap; bool reconcileNewOffset(LSRUse &LU, int64_t NewOffset, bool HasBaseReg, LSRUse::KindType Kind, const Type *AccessTy); std::pair getUse(const SCEV *&Expr, LSRUse::KindType Kind, const Type *AccessTy); void DeleteUse(LSRUse &LU); LSRUse *FindUseWithSimilarFormula(const Formula &F, const LSRUse &OrigLU); public: void InsertInitialFormula(const SCEV *S, LSRUse &LU, size_t LUIdx); void InsertSupplementalFormula(const SCEV *S, LSRUse &LU, size_t LUIdx); void CountRegisters(const Formula &F, size_t LUIdx); bool InsertFormula(LSRUse &LU, unsigned LUIdx, const Formula &F); void CollectLoopInvariantFixupsAndFormulae(); void GenerateReassociations(LSRUse &LU, unsigned LUIdx, Formula Base, unsigned Depth = 0); void GenerateCombinations(LSRUse &LU, unsigned LUIdx, Formula Base); void GenerateSymbolicOffsets(LSRUse &LU, unsigned LUIdx, Formula Base); void GenerateConstantOffsets(LSRUse &LU, unsigned LUIdx, Formula Base); void GenerateICmpZeroScales(LSRUse &LU, unsigned LUIdx, Formula Base); void GenerateScales(LSRUse &LU, unsigned LUIdx, Formula Base); void GenerateTruncates(LSRUse &LU, unsigned LUIdx, Formula Base); void GenerateCrossUseConstantOffsets(); void GenerateAllReuseFormulae(); void FilterOutUndesirableDedicatedRegisters(); size_t EstimateSearchSpaceComplexity() const; void NarrowSearchSpaceByDetectingSupersets(); void NarrowSearchSpaceByCollapsingUnrolledCode(); void NarrowSearchSpaceByRefilteringUndesirableDedicatedRegisters(); void NarrowSearchSpaceByPickingWinnerRegs(); void NarrowSearchSpaceUsingHeuristics(); void SolveRecurse(SmallVectorImpl &Solution, Cost &SolutionCost, SmallVectorImpl &Workspace, const Cost &CurCost, const SmallPtrSet &CurRegs, DenseSet &VisitedRegs) const; void Solve(SmallVectorImpl &Solution) const; BasicBlock::iterator HoistInsertPosition(BasicBlock::iterator IP, const SmallVectorImpl &Inputs) const; BasicBlock::iterator AdjustInsertPositionForExpand(BasicBlock::iterator IP, const LSRFixup &LF, const LSRUse &LU) const; Value *Expand(const LSRFixup &LF, const Formula &F, BasicBlock::iterator IP, SCEVExpander &Rewriter, SmallVectorImpl &DeadInsts) const; void RewriteForPHI(PHINode *PN, const LSRFixup &LF, const Formula &F, SCEVExpander &Rewriter, SmallVectorImpl &DeadInsts, Pass *P) const; void Rewrite(const LSRFixup &LF, const Formula &F, SCEVExpander &Rewriter, SmallVectorImpl &DeadInsts, Pass *P) const; void ImplementSolution(const SmallVectorImpl &Solution, Pass *P); LSRInstance(const TargetLowering *tli, Loop *l, Pass *P); bool getChanged() const { return Changed; } void print_factors_and_types(raw_ostream &OS) const; void print_fixups(raw_ostream &OS) const; void print_uses(raw_ostream &OS) const; void print(raw_ostream &OS) const; void dump() const; }; } /// OptimizeShadowIV - If IV is used in a int-to-float cast /// inside the loop then try to eliminate the cast operation. void LSRInstance::OptimizeShadowIV() { const SCEV *BackedgeTakenCount = SE.getBackedgeTakenCount(L); if (isa(BackedgeTakenCount)) return; for (IVUsers::const_iterator UI = IU.begin(), E = IU.end(); UI != E; /* empty */) { IVUsers::const_iterator CandidateUI = UI; ++UI; Instruction *ShadowUse = CandidateUI->getUser(); const Type *DestTy = NULL; /* If shadow use is a int->float cast then insert a second IV to eliminate this cast. for (unsigned i = 0; i < n; ++i) foo((double)i); is transformed into double d = 0.0; for (unsigned i = 0; i < n; ++i, ++d) foo(d); */ if (UIToFPInst *UCast = dyn_cast(CandidateUI->getUser())) DestTy = UCast->getDestTy(); else if (SIToFPInst *SCast = dyn_cast(CandidateUI->getUser())) DestTy = SCast->getDestTy(); if (!DestTy) continue; if (TLI) { // If target does not support DestTy natively then do not apply // this transformation. EVT DVT = TLI->getValueType(DestTy); if (!TLI->isTypeLegal(DVT)) continue; } PHINode *PH = dyn_cast(ShadowUse->getOperand(0)); if (!PH) continue; if (PH->getNumIncomingValues() != 2) continue; const Type *SrcTy = PH->getType(); int Mantissa = DestTy->getFPMantissaWidth(); if (Mantissa == -1) continue; if ((int)SE.getTypeSizeInBits(SrcTy) > Mantissa) continue; unsigned Entry, Latch; if (PH->getIncomingBlock(0) == L->getLoopPreheader()) { Entry = 0; Latch = 1; } else { Entry = 1; Latch = 0; } ConstantInt *Init = dyn_cast(PH->getIncomingValue(Entry)); if (!Init) continue; Constant *NewInit = ConstantFP::get(DestTy, Init->getZExtValue()); BinaryOperator *Incr = dyn_cast(PH->getIncomingValue(Latch)); if (!Incr) continue; if (Incr->getOpcode() != Instruction::Add && Incr->getOpcode() != Instruction::Sub) continue; /* Initialize new IV, double d = 0.0 in above example. */ ConstantInt *C = NULL; if (Incr->getOperand(0) == PH) C = dyn_cast(Incr->getOperand(1)); else if (Incr->getOperand(1) == PH) C = dyn_cast(Incr->getOperand(0)); else continue; if (!C) continue; // Ignore negative constants, as the code below doesn't handle them // correctly. TODO: Remove this restriction. if (!C->getValue().isStrictlyPositive()) continue; /* Add new PHINode. */ PHINode *NewPH = PHINode::Create(DestTy, "IV.S.", PH); /* create new increment. '++d' in above example. */ Constant *CFP = ConstantFP::get(DestTy, C->getZExtValue()); BinaryOperator *NewIncr = BinaryOperator::Create(Incr->getOpcode() == Instruction::Add ? Instruction::FAdd : Instruction::FSub, NewPH, CFP, "IV.S.next.", Incr); NewPH->addIncoming(NewInit, PH->getIncomingBlock(Entry)); NewPH->addIncoming(NewIncr, PH->getIncomingBlock(Latch)); /* Remove cast operation */ ShadowUse->replaceAllUsesWith(NewPH); ShadowUse->eraseFromParent(); Changed = true; break; } } /// FindIVUserForCond - If Cond has an operand that is an expression of an IV, /// set the IV user and stride information and return true, otherwise return /// false. bool LSRInstance::FindIVUserForCond(ICmpInst *Cond, IVStrideUse *&CondUse) { for (IVUsers::iterator UI = IU.begin(), E = IU.end(); UI != E; ++UI) if (UI->getUser() == Cond) { // NOTE: we could handle setcc instructions with multiple uses here, but // InstCombine does it as well for simple uses, it's not clear that it // occurs enough in real life to handle. CondUse = UI; return true; } return false; } /// OptimizeMax - Rewrite the loop's terminating condition if it uses /// a max computation. /// /// This is a narrow solution to a specific, but acute, problem. For loops /// like this: /// /// i = 0; /// do { /// p[i] = 0.0; /// } while (++i < n); /// /// the trip count isn't just 'n', because 'n' might not be positive. And /// unfortunately this can come up even for loops where the user didn't use /// a C do-while loop. For example, seemingly well-behaved top-test loops /// will commonly be lowered like this: // /// if (n > 0) { /// i = 0; /// do { /// p[i] = 0.0; /// } while (++i < n); /// } /// /// and then it's possible for subsequent optimization to obscure the if /// test in such a way that indvars can't find it. /// /// When indvars can't find the if test in loops like this, it creates a /// max expression, which allows it to give the loop a canonical /// induction variable: /// /// i = 0; /// max = n < 1 ? 1 : n; /// do { /// p[i] = 0.0; /// } while (++i != max); /// /// Canonical induction variables are necessary because the loop passes /// are designed around them. The most obvious example of this is the /// LoopInfo analysis, which doesn't remember trip count values. It /// expects to be able to rediscover the trip count each time it is /// needed, and it does this using a simple analysis that only succeeds if /// the loop has a canonical induction variable. /// /// However, when it comes time to generate code, the maximum operation /// can be quite costly, especially if it's inside of an outer loop. /// /// This function solves this problem by detecting this type of loop and /// rewriting their conditions from ICMP_NE back to ICMP_SLT, and deleting /// the instructions for the maximum computation. /// ICmpInst *LSRInstance::OptimizeMax(ICmpInst *Cond, IVStrideUse* &CondUse) { // Check that the loop matches the pattern we're looking for. if (Cond->getPredicate() != CmpInst::ICMP_EQ && Cond->getPredicate() != CmpInst::ICMP_NE) return Cond; SelectInst *Sel = dyn_cast(Cond->getOperand(1)); if (!Sel || !Sel->hasOneUse()) return Cond; const SCEV *BackedgeTakenCount = SE.getBackedgeTakenCount(L); if (isa(BackedgeTakenCount)) return Cond; const SCEV *One = SE.getConstant(BackedgeTakenCount->getType(), 1); // Add one to the backedge-taken count to get the trip count. const SCEV *IterationCount = SE.getAddExpr(One, BackedgeTakenCount); if (IterationCount != SE.getSCEV(Sel)) return Cond; // Check for a max calculation that matches the pattern. There's no check // for ICMP_ULE here because the comparison would be with zero, which // isn't interesting. CmpInst::Predicate Pred = ICmpInst::BAD_ICMP_PREDICATE; const SCEVNAryExpr *Max = 0; if (const SCEVSMaxExpr *S = dyn_cast(BackedgeTakenCount)) { Pred = ICmpInst::ICMP_SLE; Max = S; } else if (const SCEVSMaxExpr *S = dyn_cast(IterationCount)) { Pred = ICmpInst::ICMP_SLT; Max = S; } else if (const SCEVUMaxExpr *U = dyn_cast(IterationCount)) { Pred = ICmpInst::ICMP_ULT; Max = U; } else { // No match; bail. return Cond; } // To handle a max with more than two operands, this optimization would // require additional checking and setup. if (Max->getNumOperands() != 2) return Cond; const SCEV *MaxLHS = Max->getOperand(0); const SCEV *MaxRHS = Max->getOperand(1); // ScalarEvolution canonicalizes constants to the left. For < and >, look // for a comparison with 1. For <= and >=, a comparison with zero. if (!MaxLHS || (ICmpInst::isTrueWhenEqual(Pred) ? !MaxLHS->isZero() : (MaxLHS != One))) return Cond; // Check the relevant induction variable for conformance to // the pattern. const SCEV *IV = SE.getSCEV(Cond->getOperand(0)); const SCEVAddRecExpr *AR = dyn_cast(IV); if (!AR || !AR->isAffine() || AR->getStart() != One || AR->getStepRecurrence(SE) != One) return Cond; assert(AR->getLoop() == L && "Loop condition operand is an addrec in a different loop!"); // Check the right operand of the select, and remember it, as it will // be used in the new comparison instruction. Value *NewRHS = 0; if (ICmpInst::isTrueWhenEqual(Pred)) { // Look for n+1, and grab n. if (AddOperator *BO = dyn_cast(Sel->getOperand(1))) if (isa(BO->getOperand(1)) && cast(BO->getOperand(1))->isOne() && SE.getSCEV(BO->getOperand(0)) == MaxRHS) NewRHS = BO->getOperand(0); if (AddOperator *BO = dyn_cast(Sel->getOperand(2))) if (isa(BO->getOperand(1)) && cast(BO->getOperand(1))->isOne() && SE.getSCEV(BO->getOperand(0)) == MaxRHS) NewRHS = BO->getOperand(0); if (!NewRHS) return Cond; } else if (SE.getSCEV(Sel->getOperand(1)) == MaxRHS) NewRHS = Sel->getOperand(1); else if (SE.getSCEV(Sel->getOperand(2)) == MaxRHS) NewRHS = Sel->getOperand(2); else if (const SCEVUnknown *SU = dyn_cast(MaxRHS)) NewRHS = SU->getValue(); else // Max doesn't match expected pattern. return Cond; // Determine the new comparison opcode. It may be signed or unsigned, // and the original comparison may be either equality or inequality. if (Cond->getPredicate() == CmpInst::ICMP_EQ) Pred = CmpInst::getInversePredicate(Pred); // Ok, everything looks ok to change the condition into an SLT or SGE and // delete the max calculation. ICmpInst *NewCond = new ICmpInst(Cond, Pred, Cond->getOperand(0), NewRHS, "scmp"); // Delete the max calculation instructions. Cond->replaceAllUsesWith(NewCond); CondUse->setUser(NewCond); Instruction *Cmp = cast(Sel->getOperand(0)); Cond->eraseFromParent(); Sel->eraseFromParent(); if (Cmp->use_empty()) Cmp->eraseFromParent(); return NewCond; } /// OptimizeLoopTermCond - Change loop terminating condition to use the /// postinc iv when possible. void LSRInstance::OptimizeLoopTermCond() { SmallPtrSet PostIncs; BasicBlock *LatchBlock = L->getLoopLatch(); SmallVector ExitingBlocks; L->getExitingBlocks(ExitingBlocks); for (unsigned i = 0, e = ExitingBlocks.size(); i != e; ++i) { BasicBlock *ExitingBlock = ExitingBlocks[i]; // Get the terminating condition for the loop if possible. If we // can, we want to change it to use a post-incremented version of its // induction variable, to allow coalescing the live ranges for the IV into // one register value. BranchInst *TermBr = dyn_cast(ExitingBlock->getTerminator()); if (!TermBr) continue; // FIXME: Overly conservative, termination condition could be an 'or' etc.. if (TermBr->isUnconditional() || !isa(TermBr->getCondition())) continue; // Search IVUsesByStride to find Cond's IVUse if there is one. IVStrideUse *CondUse = 0; ICmpInst *Cond = cast(TermBr->getCondition()); if (!FindIVUserForCond(Cond, CondUse)) continue; // If the trip count is computed in terms of a max (due to ScalarEvolution // being unable to find a sufficient guard, for example), change the loop // comparison to use SLT or ULT instead of NE. // One consequence of doing this now is that it disrupts the count-down // optimization. That's not always a bad thing though, because in such // cases it may still be worthwhile to avoid a max. Cond = OptimizeMax(Cond, CondUse); // If this exiting block dominates the latch block, it may also use // the post-inc value if it won't be shared with other uses. // Check for dominance. if (!DT.dominates(ExitingBlock, LatchBlock)) continue; // Conservatively avoid trying to use the post-inc value in non-latch // exits if there may be pre-inc users in intervening blocks. if (LatchBlock != ExitingBlock) for (IVUsers::const_iterator UI = IU.begin(), E = IU.end(); UI != E; ++UI) // Test if the use is reachable from the exiting block. This dominator // query is a conservative approximation of reachability. if (&*UI != CondUse && !DT.properlyDominates(UI->getUser()->getParent(), ExitingBlock)) { // Conservatively assume there may be reuse if the quotient of their // strides could be a legal scale. const SCEV *A = IU.getStride(*CondUse, L); const SCEV *B = IU.getStride(*UI, L); if (!A || !B) continue; if (SE.getTypeSizeInBits(A->getType()) != SE.getTypeSizeInBits(B->getType())) { if (SE.getTypeSizeInBits(A->getType()) > SE.getTypeSizeInBits(B->getType())) B = SE.getSignExtendExpr(B, A->getType()); else A = SE.getSignExtendExpr(A, B->getType()); } if (const SCEVConstant *D = dyn_cast_or_null(getExactSDiv(B, A, SE))) { const ConstantInt *C = D->getValue(); // Stride of one or negative one can have reuse with non-addresses. if (C->isOne() || C->isAllOnesValue()) goto decline_post_inc; // Avoid weird situations. if (C->getValue().getMinSignedBits() >= 64 || C->getValue().isMinSignedValue()) goto decline_post_inc; // Without TLI, assume that any stride might be valid, and so any // use might be shared. if (!TLI) goto decline_post_inc; // Check for possible scaled-address reuse. const Type *AccessTy = getAccessType(UI->getUser()); TargetLowering::AddrMode AM; AM.Scale = C->getSExtValue(); if (TLI->isLegalAddressingMode(AM, AccessTy)) goto decline_post_inc; AM.Scale = -AM.Scale; if (TLI->isLegalAddressingMode(AM, AccessTy)) goto decline_post_inc; } } DEBUG(dbgs() << " Change loop exiting icmp to use postinc iv: " << *Cond << '\n'); // It's possible for the setcc instruction to be anywhere in the loop, and // possible for it to have multiple users. If it is not immediately before // the exiting block branch, move it. if (&*++BasicBlock::iterator(Cond) != TermBr) { if (Cond->hasOneUse()) { Cond->moveBefore(TermBr); } else { // Clone the terminating condition and insert into the loopend. ICmpInst *OldCond = Cond; Cond = cast(Cond->clone()); Cond->setName(L->getHeader()->getName() + ".termcond"); ExitingBlock->getInstList().insert(TermBr, Cond); // Clone the IVUse, as the old use still exists! CondUse = &IU.AddUser(Cond, CondUse->getOperandValToReplace()); TermBr->replaceUsesOfWith(OldCond, Cond); } } // If we get to here, we know that we can transform the setcc instruction to // use the post-incremented version of the IV, allowing us to coalesce the // live ranges for the IV correctly. CondUse->transformToPostInc(L); Changed = true; PostIncs.insert(Cond); decline_post_inc:; } // Determine an insertion point for the loop induction variable increment. It // must dominate all the post-inc comparisons we just set up, and it must // dominate the loop latch edge. IVIncInsertPos = L->getLoopLatch()->getTerminator(); for (SmallPtrSet::const_iterator I = PostIncs.begin(), E = PostIncs.end(); I != E; ++I) { BasicBlock *BB = DT.findNearestCommonDominator(IVIncInsertPos->getParent(), (*I)->getParent()); if (BB == (*I)->getParent()) IVIncInsertPos = *I; else if (BB != IVIncInsertPos->getParent()) IVIncInsertPos = BB->getTerminator(); } } /// reconcileNewOffset - Determine if the given use can accomodate a fixup /// at the given offset and other details. If so, update the use and /// return true. bool LSRInstance::reconcileNewOffset(LSRUse &LU, int64_t NewOffset, bool HasBaseReg, LSRUse::KindType Kind, const Type *AccessTy) { int64_t NewMinOffset = LU.MinOffset; int64_t NewMaxOffset = LU.MaxOffset; const Type *NewAccessTy = AccessTy; // Check for a mismatched kind. It's tempting to collapse mismatched kinds to // something conservative, however this can pessimize in the case that one of // the uses will have all its uses outside the loop, for example. if (LU.Kind != Kind) return false; // Conservatively assume HasBaseReg is true for now. if (NewOffset < LU.MinOffset) { if (!isAlwaysFoldable(LU.MaxOffset - NewOffset, 0, HasBaseReg, Kind, AccessTy, TLI)) return false; NewMinOffset = NewOffset; } else if (NewOffset > LU.MaxOffset) { if (!isAlwaysFoldable(NewOffset - LU.MinOffset, 0, HasBaseReg, Kind, AccessTy, TLI)) return false; NewMaxOffset = NewOffset; } // Check for a mismatched access type, and fall back conservatively as needed. // TODO: Be less conservative when the type is similar and can use the same // addressing modes. if (Kind == LSRUse::Address && AccessTy != LU.AccessTy) NewAccessTy = Type::getVoidTy(AccessTy->getContext()); // Update the use. LU.MinOffset = NewMinOffset; LU.MaxOffset = NewMaxOffset; LU.AccessTy = NewAccessTy; if (NewOffset != LU.Offsets.back()) LU.Offsets.push_back(NewOffset); return true; } /// getUse - Return an LSRUse index and an offset value for a fixup which /// needs the given expression, with the given kind and optional access type. /// Either reuse an existing use or create a new one, as needed. std::pair LSRInstance::getUse(const SCEV *&Expr, LSRUse::KindType Kind, const Type *AccessTy) { const SCEV *Copy = Expr; int64_t Offset = ExtractImmediate(Expr, SE); // Basic uses can't accept any offset, for example. if (!isAlwaysFoldable(Offset, 0, /*HasBaseReg=*/true, Kind, AccessTy, TLI)) { Expr = Copy; Offset = 0; } std::pair P = UseMap.insert(std::make_pair(std::make_pair(Expr, Kind), 0)); if (!P.second) { // A use already existed with this base. size_t LUIdx = P.first->second; LSRUse &LU = Uses[LUIdx]; if (reconcileNewOffset(LU, Offset, /*HasBaseReg=*/true, Kind, AccessTy)) // Reuse this use. return std::make_pair(LUIdx, Offset); } // Create a new use. size_t LUIdx = Uses.size(); P.first->second = LUIdx; Uses.push_back(LSRUse(Kind, AccessTy)); LSRUse &LU = Uses[LUIdx]; // We don't need to track redundant offsets, but we don't need to go out // of our way here to avoid them. if (LU.Offsets.empty() || Offset != LU.Offsets.back()) LU.Offsets.push_back(Offset); LU.MinOffset = Offset; LU.MaxOffset = Offset; return std::make_pair(LUIdx, Offset); } /// DeleteUse - Delete the given use from the Uses list. void LSRInstance::DeleteUse(LSRUse &LU) { if (&LU != &Uses.back()) std::swap(LU, Uses.back()); Uses.pop_back(); } /// FindUseWithFormula - Look for a use distinct from OrigLU which is has /// a formula that has the same registers as the given formula. LSRUse * LSRInstance::FindUseWithSimilarFormula(const Formula &OrigF, const LSRUse &OrigLU) { // Search all uses for the formula. This could be more clever. for (size_t LUIdx = 0, NumUses = Uses.size(); LUIdx != NumUses; ++LUIdx) { LSRUse &LU = Uses[LUIdx]; // Check whether this use is close enough to OrigLU, to see whether it's // worthwhile looking through its formulae. // Ignore ICmpZero uses because they may contain formulae generated by // GenerateICmpZeroScales, in which case adding fixup offsets may // be invalid. if (&LU != &OrigLU && LU.Kind != LSRUse::ICmpZero && LU.Kind == OrigLU.Kind && OrigLU.AccessTy == LU.AccessTy && LU.WidestFixupType == OrigLU.WidestFixupType && LU.HasFormulaWithSameRegs(OrigF)) { // Scan through this use's formulae. for (SmallVectorImpl::const_iterator I = LU.Formulae.begin(), E = LU.Formulae.end(); I != E; ++I) { const Formula &F = *I; // Check to see if this formula has the same registers and symbols // as OrigF. if (F.BaseRegs == OrigF.BaseRegs && F.ScaledReg == OrigF.ScaledReg && F.AM.BaseGV == OrigF.AM.BaseGV && F.AM.Scale == OrigF.AM.Scale) { if (F.AM.BaseOffs == 0) return &LU; // This is the formula where all the registers and symbols matched; // there aren't going to be any others. Since we declined it, we // can skip the rest of the formulae and procede to the next LSRUse. break; } } } } // Nothing looked good. return 0; } void LSRInstance::CollectInterestingTypesAndFactors() { SmallSetVector Strides; // Collect interesting types and strides. SmallVector Worklist; for (IVUsers::const_iterator UI = IU.begin(), E = IU.end(); UI != E; ++UI) { const SCEV *Expr = IU.getExpr(*UI); // Collect interesting types. Types.insert(SE.getEffectiveSCEVType(Expr->getType())); // Add strides for mentioned loops. Worklist.push_back(Expr); do { const SCEV *S = Worklist.pop_back_val(); if (const SCEVAddRecExpr *AR = dyn_cast(S)) { Strides.insert(AR->getStepRecurrence(SE)); Worklist.push_back(AR->getStart()); } else if (const SCEVAddExpr *Add = dyn_cast(S)) { Worklist.append(Add->op_begin(), Add->op_end()); } } while (!Worklist.empty()); } // Compute interesting factors from the set of interesting strides. for (SmallSetVector::const_iterator I = Strides.begin(), E = Strides.end(); I != E; ++I) for (SmallSetVector::const_iterator NewStrideIter = llvm::next(I); NewStrideIter != E; ++NewStrideIter) { const SCEV *OldStride = *I; const SCEV *NewStride = *NewStrideIter; if (SE.getTypeSizeInBits(OldStride->getType()) != SE.getTypeSizeInBits(NewStride->getType())) { if (SE.getTypeSizeInBits(OldStride->getType()) > SE.getTypeSizeInBits(NewStride->getType())) NewStride = SE.getSignExtendExpr(NewStride, OldStride->getType()); else OldStride = SE.getSignExtendExpr(OldStride, NewStride->getType()); } if (const SCEVConstant *Factor = dyn_cast_or_null(getExactSDiv(NewStride, OldStride, SE, true))) { if (Factor->getValue()->getValue().getMinSignedBits() <= 64) Factors.insert(Factor->getValue()->getValue().getSExtValue()); } else if (const SCEVConstant *Factor = dyn_cast_or_null(getExactSDiv(OldStride, NewStride, SE, true))) { if (Factor->getValue()->getValue().getMinSignedBits() <= 64) Factors.insert(Factor->getValue()->getValue().getSExtValue()); } } // If all uses use the same type, don't bother looking for truncation-based // reuse. if (Types.size() == 1) Types.clear(); DEBUG(print_factors_and_types(dbgs())); } void LSRInstance::CollectFixupsAndInitialFormulae() { for (IVUsers::const_iterator UI = IU.begin(), E = IU.end(); UI != E; ++UI) { // Record the uses. LSRFixup &LF = getNewFixup(); LF.UserInst = UI->getUser(); LF.OperandValToReplace = UI->getOperandValToReplace(); LF.PostIncLoops = UI->getPostIncLoops(); LSRUse::KindType Kind = LSRUse::Basic; const Type *AccessTy = 0; if (isAddressUse(LF.UserInst, LF.OperandValToReplace)) { Kind = LSRUse::Address; AccessTy = getAccessType(LF.UserInst); } const SCEV *S = IU.getExpr(*UI); // Equality (== and !=) ICmps are special. We can rewrite (i == N) as // (N - i == 0), and this allows (N - i) to be the expression that we work // with rather than just N or i, so we can consider the register // requirements for both N and i at the same time. Limiting this code to // equality icmps is not a problem because all interesting loops use // equality icmps, thanks to IndVarSimplify. if (ICmpInst *CI = dyn_cast(LF.UserInst)) if (CI->isEquality()) { // Swap the operands if needed to put the OperandValToReplace on the // left, for consistency. Value *NV = CI->getOperand(1); if (NV == LF.OperandValToReplace) { CI->setOperand(1, CI->getOperand(0)); CI->setOperand(0, NV); NV = CI->getOperand(1); Changed = true; } // x == y --> x - y == 0 const SCEV *N = SE.getSCEV(NV); if (N->isLoopInvariant(L)) { Kind = LSRUse::ICmpZero; S = SE.getMinusSCEV(N, S); } // -1 and the negations of all interesting strides (except the negation // of -1) are now also interesting. for (size_t i = 0, e = Factors.size(); i != e; ++i) if (Factors[i] != -1) Factors.insert(-(uint64_t)Factors[i]); Factors.insert(-1); } // Set up the initial formula for this use. std::pair P = getUse(S, Kind, AccessTy); LF.LUIdx = P.first; LF.Offset = P.second; LSRUse &LU = Uses[LF.LUIdx]; LU.AllFixupsOutsideLoop &= LF.isUseFullyOutsideLoop(L); if (!LU.WidestFixupType || SE.getTypeSizeInBits(LU.WidestFixupType) < SE.getTypeSizeInBits(LF.OperandValToReplace->getType())) LU.WidestFixupType = LF.OperandValToReplace->getType(); // If this is the first use of this LSRUse, give it a formula. if (LU.Formulae.empty()) { InsertInitialFormula(S, LU, LF.LUIdx); CountRegisters(LU.Formulae.back(), LF.LUIdx); } } DEBUG(print_fixups(dbgs())); } /// InsertInitialFormula - Insert a formula for the given expression into /// the given use, separating out loop-variant portions from loop-invariant /// and loop-computable portions. void LSRInstance::InsertInitialFormula(const SCEV *S, LSRUse &LU, size_t LUIdx) { Formula F; F.InitialMatch(S, L, SE, DT); bool Inserted = InsertFormula(LU, LUIdx, F); assert(Inserted && "Initial formula already exists!"); (void)Inserted; } /// InsertSupplementalFormula - Insert a simple single-register formula for /// the given expression into the given use. void LSRInstance::InsertSupplementalFormula(const SCEV *S, LSRUse &LU, size_t LUIdx) { Formula F; F.BaseRegs.push_back(S); F.AM.HasBaseReg = true; bool Inserted = InsertFormula(LU, LUIdx, F); assert(Inserted && "Supplemental formula already exists!"); (void)Inserted; } /// CountRegisters - Note which registers are used by the given formula, /// updating RegUses. void LSRInstance::CountRegisters(const Formula &F, size_t LUIdx) { if (F.ScaledReg) RegUses.CountRegister(F.ScaledReg, LUIdx); for (SmallVectorImpl::const_iterator I = F.BaseRegs.begin(), E = F.BaseRegs.end(); I != E; ++I) RegUses.CountRegister(*I, LUIdx); } /// InsertFormula - If the given formula has not yet been inserted, add it to /// the list, and return true. Return false otherwise. bool LSRInstance::InsertFormula(LSRUse &LU, unsigned LUIdx, const Formula &F) { if (!LU.InsertFormula(F)) return false; CountRegisters(F, LUIdx); return true; } /// CollectLoopInvariantFixupsAndFormulae - Check for other uses of /// loop-invariant values which we're tracking. These other uses will pin these /// values in registers, making them less profitable for elimination. /// TODO: This currently misses non-constant addrec step registers. /// TODO: Should this give more weight to users inside the loop? void LSRInstance::CollectLoopInvariantFixupsAndFormulae() { SmallVector Worklist(RegUses.begin(), RegUses.end()); SmallPtrSet Inserted; while (!Worklist.empty()) { const SCEV *S = Worklist.pop_back_val(); if (const SCEVNAryExpr *N = dyn_cast(S)) Worklist.append(N->op_begin(), N->op_end()); else if (const SCEVCastExpr *C = dyn_cast(S)) Worklist.push_back(C->getOperand()); else if (const SCEVUDivExpr *D = dyn_cast(S)) { Worklist.push_back(D->getLHS()); Worklist.push_back(D->getRHS()); } else if (const SCEVUnknown *U = dyn_cast(S)) { if (!Inserted.insert(U)) continue; const Value *V = U->getValue(); if (const Instruction *Inst = dyn_cast(V)) { // Look for instructions defined outside the loop. if (L->contains(Inst)) continue; } else if (isa(V)) // Undef doesn't have a live range, so it doesn't matter. continue; for (Value::const_use_iterator UI = V->use_begin(), UE = V->use_end(); UI != UE; ++UI) { const Instruction *UserInst = dyn_cast(*UI); // Ignore non-instructions. if (!UserInst) continue; // Ignore instructions in other functions (as can happen with // Constants). if (UserInst->getParent()->getParent() != L->getHeader()->getParent()) continue; // Ignore instructions not dominated by the loop. const BasicBlock *UseBB = !isa(UserInst) ? UserInst->getParent() : cast(UserInst)->getIncomingBlock( PHINode::getIncomingValueNumForOperand(UI.getOperandNo())); if (!DT.dominates(L->getHeader(), UseBB)) continue; // Ignore uses which are part of other SCEV expressions, to avoid // analyzing them multiple times. if (SE.isSCEVable(UserInst->getType())) { const SCEV *UserS = SE.getSCEV(const_cast(UserInst)); // If the user is a no-op, look through to its uses. if (!isa(UserS)) continue; if (UserS == U) { Worklist.push_back( SE.getUnknown(const_cast(UserInst))); continue; } } // Ignore icmp instructions which are already being analyzed. if (const ICmpInst *ICI = dyn_cast(UserInst)) { unsigned OtherIdx = !UI.getOperandNo(); Value *OtherOp = const_cast(ICI->getOperand(OtherIdx)); if (SE.getSCEV(OtherOp)->hasComputableLoopEvolution(L)) continue; } LSRFixup &LF = getNewFixup(); LF.UserInst = const_cast(UserInst); LF.OperandValToReplace = UI.getUse(); std::pair P = getUse(S, LSRUse::Basic, 0); LF.LUIdx = P.first; LF.Offset = P.second; LSRUse &LU = Uses[LF.LUIdx]; LU.AllFixupsOutsideLoop &= LF.isUseFullyOutsideLoop(L); if (!LU.WidestFixupType || SE.getTypeSizeInBits(LU.WidestFixupType) < SE.getTypeSizeInBits(LF.OperandValToReplace->getType())) LU.WidestFixupType = LF.OperandValToReplace->getType(); InsertSupplementalFormula(U, LU, LF.LUIdx); CountRegisters(LU.Formulae.back(), Uses.size() - 1); break; } } } } /// CollectSubexprs - Split S into subexpressions which can be pulled out into /// separate registers. If C is non-null, multiply each subexpression by C. static void CollectSubexprs(const SCEV *S, const SCEVConstant *C, SmallVectorImpl &Ops, const Loop *L, ScalarEvolution &SE) { if (const SCEVAddExpr *Add = dyn_cast(S)) { // Break out add operands. for (SCEVAddExpr::op_iterator I = Add->op_begin(), E = Add->op_end(); I != E; ++I) CollectSubexprs(*I, C, Ops, L, SE); return; } else if (const SCEVAddRecExpr *AR = dyn_cast(S)) { // Split a non-zero base out of an addrec. if (!AR->getStart()->isZero()) { CollectSubexprs(SE.getAddRecExpr(SE.getConstant(AR->getType(), 0), AR->getStepRecurrence(SE), AR->getLoop()), C, Ops, L, SE); CollectSubexprs(AR->getStart(), C, Ops, L, SE); return; } } else if (const SCEVMulExpr *Mul = dyn_cast(S)) { // Break (C * (a + b + c)) into C*a + C*b + C*c. if (Mul->getNumOperands() == 2) if (const SCEVConstant *Op0 = dyn_cast(Mul->getOperand(0))) { CollectSubexprs(Mul->getOperand(1), C ? cast(SE.getMulExpr(C, Op0)) : Op0, Ops, L, SE); return; } } // Otherwise use the value itself, optionally with a scale applied. Ops.push_back(C ? SE.getMulExpr(C, S) : S); } /// GenerateReassociations - Split out subexpressions from adds and the bases of /// addrecs. void LSRInstance::GenerateReassociations(LSRUse &LU, unsigned LUIdx, Formula Base, unsigned Depth) { // Arbitrarily cap recursion to protect compile time. if (Depth >= 3) return; for (size_t i = 0, e = Base.BaseRegs.size(); i != e; ++i) { const SCEV *BaseReg = Base.BaseRegs[i]; SmallVector AddOps; CollectSubexprs(BaseReg, 0, AddOps, L, SE); if (AddOps.size() == 1) continue; for (SmallVectorImpl::const_iterator J = AddOps.begin(), JE = AddOps.end(); J != JE; ++J) { // Loop-variant "unknown" values are uninteresting; we won't be able to // do anything meaningful with them. if (isa(*J) && !(*J)->isLoopInvariant(L)) continue; // Don't pull a constant into a register if the constant could be folded // into an immediate field. if (isAlwaysFoldable(*J, LU.MinOffset, LU.MaxOffset, Base.getNumRegs() > 1, LU.Kind, LU.AccessTy, TLI, SE)) continue; // Collect all operands except *J. SmallVector InnerAddOps (((const SmallVector &)AddOps).begin(), J); InnerAddOps.append (llvm::next(J), ((const SmallVector &)AddOps).end()); // Don't leave just a constant behind in a register if the constant could // be folded into an immediate field. if (InnerAddOps.size() == 1 && isAlwaysFoldable(InnerAddOps[0], LU.MinOffset, LU.MaxOffset, Base.getNumRegs() > 1, LU.Kind, LU.AccessTy, TLI, SE)) continue; const SCEV *InnerSum = SE.getAddExpr(InnerAddOps); if (InnerSum->isZero()) continue; Formula F = Base; F.BaseRegs[i] = InnerSum; F.BaseRegs.push_back(*J); if (InsertFormula(LU, LUIdx, F)) // If that formula hadn't been seen before, recurse to find more like // it. GenerateReassociations(LU, LUIdx, LU.Formulae.back(), Depth+1); } } } /// GenerateCombinations - Generate a formula consisting of all of the /// loop-dominating registers added into a single register. void LSRInstance::GenerateCombinations(LSRUse &LU, unsigned LUIdx, Formula Base) { // This method is only interesting on a plurality of registers. if (Base.BaseRegs.size() <= 1) return; Formula F = Base; F.BaseRegs.clear(); SmallVector Ops; for (SmallVectorImpl::const_iterator I = Base.BaseRegs.begin(), E = Base.BaseRegs.end(); I != E; ++I) { const SCEV *BaseReg = *I; if (BaseReg->properlyDominates(L->getHeader(), &DT) && !BaseReg->hasComputableLoopEvolution(L)) Ops.push_back(BaseReg); else F.BaseRegs.push_back(BaseReg); } if (Ops.size() > 1) { const SCEV *Sum = SE.getAddExpr(Ops); // TODO: If Sum is zero, it probably means ScalarEvolution missed an // opportunity to fold something. For now, just ignore such cases // rather than proceed with zero in a register. if (!Sum->isZero()) { F.BaseRegs.push_back(Sum); (void)InsertFormula(LU, LUIdx, F); } } } /// GenerateSymbolicOffsets - Generate reuse formulae using symbolic offsets. void LSRInstance::GenerateSymbolicOffsets(LSRUse &LU, unsigned LUIdx, Formula Base) { // We can't add a symbolic offset if the address already contains one. if (Base.AM.BaseGV) return; for (size_t i = 0, e = Base.BaseRegs.size(); i != e; ++i) { const SCEV *G = Base.BaseRegs[i]; GlobalValue *GV = ExtractSymbol(G, SE); if (G->isZero() || !GV) continue; Formula F = Base; F.AM.BaseGV = GV; if (!isLegalUse(F.AM, LU.MinOffset, LU.MaxOffset, LU.Kind, LU.AccessTy, TLI)) continue; F.BaseRegs[i] = G; (void)InsertFormula(LU, LUIdx, F); } } /// GenerateConstantOffsets - Generate reuse formulae using symbolic offsets. void LSRInstance::GenerateConstantOffsets(LSRUse &LU, unsigned LUIdx, Formula Base) { // TODO: For now, just add the min and max offset, because it usually isn't // worthwhile looking at everything inbetween. SmallVector Worklist; Worklist.push_back(LU.MinOffset); if (LU.MaxOffset != LU.MinOffset) Worklist.push_back(LU.MaxOffset); for (size_t i = 0, e = Base.BaseRegs.size(); i != e; ++i) { const SCEV *G = Base.BaseRegs[i]; for (SmallVectorImpl::const_iterator I = Worklist.begin(), E = Worklist.end(); I != E; ++I) { Formula F = Base; F.AM.BaseOffs = (uint64_t)Base.AM.BaseOffs - *I; if (isLegalUse(F.AM, LU.MinOffset - *I, LU.MaxOffset - *I, LU.Kind, LU.AccessTy, TLI)) { // Add the offset to the base register. const SCEV *NewG = SE.getAddExpr(SE.getConstant(G->getType(), *I), G); // If it cancelled out, drop the base register, otherwise update it. if (NewG->isZero()) { std::swap(F.BaseRegs[i], F.BaseRegs.back()); F.BaseRegs.pop_back(); } else F.BaseRegs[i] = NewG; (void)InsertFormula(LU, LUIdx, F); } } int64_t Imm = ExtractImmediate(G, SE); if (G->isZero() || Imm == 0) continue; Formula F = Base; F.AM.BaseOffs = (uint64_t)F.AM.BaseOffs + Imm; if (!isLegalUse(F.AM, LU.MinOffset, LU.MaxOffset, LU.Kind, LU.AccessTy, TLI)) continue; F.BaseRegs[i] = G; (void)InsertFormula(LU, LUIdx, F); } } /// GenerateICmpZeroScales - For ICmpZero, check to see if we can scale up /// the comparison. For example, x == y -> x*c == y*c. void LSRInstance::GenerateICmpZeroScales(LSRUse &LU, unsigned LUIdx, Formula Base) { if (LU.Kind != LSRUse::ICmpZero) return; // Determine the integer type for the base formula. const Type *IntTy = Base.getType(); if (!IntTy) return; if (SE.getTypeSizeInBits(IntTy) > 64) return; // Don't do this if there is more than one offset. if (LU.MinOffset != LU.MaxOffset) return; assert(!Base.AM.BaseGV && "ICmpZero use is not legal!"); // Check each interesting stride. for (SmallSetVector::const_iterator I = Factors.begin(), E = Factors.end(); I != E; ++I) { int64_t Factor = *I; // Check that the multiplication doesn't overflow. if (Base.AM.BaseOffs == INT64_MIN && Factor == -1) continue; int64_t NewBaseOffs = (uint64_t)Base.AM.BaseOffs * Factor; if (NewBaseOffs / Factor != Base.AM.BaseOffs) continue; // Check that multiplying with the use offset doesn't overflow. int64_t Offset = LU.MinOffset; if (Offset == INT64_MIN && Factor == -1) continue; Offset = (uint64_t)Offset * Factor; if (Offset / Factor != LU.MinOffset) continue; Formula F = Base; F.AM.BaseOffs = NewBaseOffs; // Check that this scale is legal. if (!isLegalUse(F.AM, Offset, Offset, LU.Kind, LU.AccessTy, TLI)) continue; // Compensate for the use having MinOffset built into it. F.AM.BaseOffs = (uint64_t)F.AM.BaseOffs + Offset - LU.MinOffset; const SCEV *FactorS = SE.getConstant(IntTy, Factor); // Check that multiplying with each base register doesn't overflow. for (size_t i = 0, e = F.BaseRegs.size(); i != e; ++i) { F.BaseRegs[i] = SE.getMulExpr(F.BaseRegs[i], FactorS); if (getExactSDiv(F.BaseRegs[i], FactorS, SE) != Base.BaseRegs[i]) goto next; } // Check that multiplying with the scaled register doesn't overflow. if (F.ScaledReg) { F.ScaledReg = SE.getMulExpr(F.ScaledReg, FactorS); if (getExactSDiv(F.ScaledReg, FactorS, SE) != Base.ScaledReg) continue; } // If we make it here and it's legal, add it. (void)InsertFormula(LU, LUIdx, F); next:; } } /// GenerateScales - Generate stride factor reuse formulae by making use of /// scaled-offset address modes, for example. void LSRInstance::GenerateScales(LSRUse &LU, unsigned LUIdx, Formula Base) { // Determine the integer type for the base formula. const Type *IntTy = Base.getType(); if (!IntTy) return; // If this Formula already has a scaled register, we can't add another one. if (Base.AM.Scale != 0) return; // Check each interesting stride. for (SmallSetVector::const_iterator I = Factors.begin(), E = Factors.end(); I != E; ++I) { int64_t Factor = *I; Base.AM.Scale = Factor; Base.AM.HasBaseReg = Base.BaseRegs.size() > 1; // Check whether this scale is going to be legal. if (!isLegalUse(Base.AM, LU.MinOffset, LU.MaxOffset, LU.Kind, LU.AccessTy, TLI)) { // As a special-case, handle special out-of-loop Basic users specially. // TODO: Reconsider this special case. if (LU.Kind == LSRUse::Basic && isLegalUse(Base.AM, LU.MinOffset, LU.MaxOffset, LSRUse::Special, LU.AccessTy, TLI) && LU.AllFixupsOutsideLoop) LU.Kind = LSRUse::Special; else continue; } // For an ICmpZero, negating a solitary base register won't lead to // new solutions. if (LU.Kind == LSRUse::ICmpZero && !Base.AM.HasBaseReg && Base.AM.BaseOffs == 0 && !Base.AM.BaseGV) continue; // For each addrec base reg, apply the scale, if possible. for (size_t i = 0, e = Base.BaseRegs.size(); i != e; ++i) if (const SCEVAddRecExpr *AR = dyn_cast(Base.BaseRegs[i])) { const SCEV *FactorS = SE.getConstant(IntTy, Factor); if (FactorS->isZero()) continue; // Divide out the factor, ignoring high bits, since we'll be // scaling the value back up in the end. if (const SCEV *Quotient = getExactSDiv(AR, FactorS, SE, true)) { // TODO: This could be optimized to avoid all the copying. Formula F = Base; F.ScaledReg = Quotient; F.DeleteBaseReg(F.BaseRegs[i]); (void)InsertFormula(LU, LUIdx, F); } } } } /// GenerateTruncates - Generate reuse formulae from different IV types. void LSRInstance::GenerateTruncates(LSRUse &LU, unsigned LUIdx, Formula Base) { // This requires TargetLowering to tell us which truncates are free. if (!TLI) return; // Don't bother truncating symbolic values. if (Base.AM.BaseGV) return; // Determine the integer type for the base formula. const Type *DstTy = Base.getType(); if (!DstTy) return; DstTy = SE.getEffectiveSCEVType(DstTy); for (SmallSetVector::const_iterator I = Types.begin(), E = Types.end(); I != E; ++I) { const Type *SrcTy = *I; if (SrcTy != DstTy && TLI->isTruncateFree(SrcTy, DstTy)) { Formula F = Base; if (F.ScaledReg) F.ScaledReg = SE.getAnyExtendExpr(F.ScaledReg, *I); for (SmallVectorImpl::iterator J = F.BaseRegs.begin(), JE = F.BaseRegs.end(); J != JE; ++J) *J = SE.getAnyExtendExpr(*J, SrcTy); // TODO: This assumes we've done basic processing on all uses and // have an idea what the register usage is. if (!F.hasRegsUsedByUsesOtherThan(LUIdx, RegUses)) continue; (void)InsertFormula(LU, LUIdx, F); } } } namespace { /// WorkItem - Helper class for GenerateCrossUseConstantOffsets. It's used to /// defer modifications so that the search phase doesn't have to worry about /// the data structures moving underneath it. struct WorkItem { size_t LUIdx; int64_t Imm; const SCEV *OrigReg; WorkItem(size_t LI, int64_t I, const SCEV *R) : LUIdx(LI), Imm(I), OrigReg(R) {} void print(raw_ostream &OS) const; void dump() const; }; } void WorkItem::print(raw_ostream &OS) const { OS << "in formulae referencing " << *OrigReg << " in use " << LUIdx << " , add offset " << Imm; } void WorkItem::dump() const { print(errs()); errs() << '\n'; } /// GenerateCrossUseConstantOffsets - Look for registers which are a constant /// distance apart and try to form reuse opportunities between them. void LSRInstance::GenerateCrossUseConstantOffsets() { // Group the registers by their value without any added constant offset. typedef std::map ImmMapTy; typedef DenseMap RegMapTy; RegMapTy Map; DenseMap UsedByIndicesMap; SmallVector Sequence; for (RegUseTracker::const_iterator I = RegUses.begin(), E = RegUses.end(); I != E; ++I) { const SCEV *Reg = *I; int64_t Imm = ExtractImmediate(Reg, SE); std::pair Pair = Map.insert(std::make_pair(Reg, ImmMapTy())); if (Pair.second) Sequence.push_back(Reg); Pair.first->second.insert(std::make_pair(Imm, *I)); UsedByIndicesMap[Reg] |= RegUses.getUsedByIndices(*I); } // Now examine each set of registers with the same base value. Build up // a list of work to do and do the work in a separate step so that we're // not adding formulae and register counts while we're searching. SmallVector WorkItems; SmallSet, 32> UniqueItems; for (SmallVectorImpl::const_iterator I = Sequence.begin(), E = Sequence.end(); I != E; ++I) { const SCEV *Reg = *I; const ImmMapTy &Imms = Map.find(Reg)->second; // It's not worthwhile looking for reuse if there's only one offset. if (Imms.size() == 1) continue; DEBUG(dbgs() << "Generating cross-use offsets for " << *Reg << ':'; for (ImmMapTy::const_iterator J = Imms.begin(), JE = Imms.end(); J != JE; ++J) dbgs() << ' ' << J->first; dbgs() << '\n'); // Examine each offset. for (ImmMapTy::const_iterator J = Imms.begin(), JE = Imms.end(); J != JE; ++J) { const SCEV *OrigReg = J->second; int64_t JImm = J->first; const SmallBitVector &UsedByIndices = RegUses.getUsedByIndices(OrigReg); if (!isa(OrigReg) && UsedByIndicesMap[Reg].count() == 1) { DEBUG(dbgs() << "Skipping cross-use reuse for " << *OrigReg << '\n'); continue; } // Conservatively examine offsets between this orig reg a few selected // other orig regs. ImmMapTy::const_iterator OtherImms[] = { Imms.begin(), prior(Imms.end()), Imms.upper_bound((Imms.begin()->first + prior(Imms.end())->first) / 2) }; for (size_t i = 0, e = array_lengthof(OtherImms); i != e; ++i) { ImmMapTy::const_iterator M = OtherImms[i]; if (M == J || M == JE) continue; // Compute the difference between the two. int64_t Imm = (uint64_t)JImm - M->first; for (int LUIdx = UsedByIndices.find_first(); LUIdx != -1; LUIdx = UsedByIndices.find_next(LUIdx)) // Make a memo of this use, offset, and register tuple. if (UniqueItems.insert(std::make_pair(LUIdx, Imm))) WorkItems.push_back(WorkItem(LUIdx, Imm, OrigReg)); } } } Map.clear(); Sequence.clear(); UsedByIndicesMap.clear(); UniqueItems.clear(); // Now iterate through the worklist and add new formulae. for (SmallVectorImpl::const_iterator I = WorkItems.begin(), E = WorkItems.end(); I != E; ++I) { const WorkItem &WI = *I; size_t LUIdx = WI.LUIdx; LSRUse &LU = Uses[LUIdx]; int64_t Imm = WI.Imm; const SCEV *OrigReg = WI.OrigReg; const Type *IntTy = SE.getEffectiveSCEVType(OrigReg->getType()); const SCEV *NegImmS = SE.getSCEV(ConstantInt::get(IntTy, -(uint64_t)Imm)); unsigned BitWidth = SE.getTypeSizeInBits(IntTy); // TODO: Use a more targeted data structure. for (size_t L = 0, LE = LU.Formulae.size(); L != LE; ++L) { const Formula &F = LU.Formulae[L]; // Use the immediate in the scaled register. if (F.ScaledReg == OrigReg) { int64_t Offs = (uint64_t)F.AM.BaseOffs + Imm * (uint64_t)F.AM.Scale; // Don't create 50 + reg(-50). if (F.referencesReg(SE.getSCEV( ConstantInt::get(IntTy, -(uint64_t)Offs)))) continue; Formula NewF = F; NewF.AM.BaseOffs = Offs; if (!isLegalUse(NewF.AM, LU.MinOffset, LU.MaxOffset, LU.Kind, LU.AccessTy, TLI)) continue; NewF.ScaledReg = SE.getAddExpr(NegImmS, NewF.ScaledReg); // If the new scale is a constant in a register, and adding the constant // value to the immediate would produce a value closer to zero than the // immediate itself, then the formula isn't worthwhile. if (const SCEVConstant *C = dyn_cast(NewF.ScaledReg)) if (C->getValue()->getValue().isNegative() != (NewF.AM.BaseOffs < 0) && (C->getValue()->getValue().abs() * APInt(BitWidth, F.AM.Scale)) .ule(abs64(NewF.AM.BaseOffs))) continue; // OK, looks good. (void)InsertFormula(LU, LUIdx, NewF); } else { // Use the immediate in a base register. for (size_t N = 0, NE = F.BaseRegs.size(); N != NE; ++N) { const SCEV *BaseReg = F.BaseRegs[N]; if (BaseReg != OrigReg) continue; Formula NewF = F; NewF.AM.BaseOffs = (uint64_t)NewF.AM.BaseOffs + Imm; if (!isLegalUse(NewF.AM, LU.MinOffset, LU.MaxOffset, LU.Kind, LU.AccessTy, TLI)) continue; NewF.BaseRegs[N] = SE.getAddExpr(NegImmS, BaseReg); // If the new formula has a constant in a register, and adding the // constant value to the immediate would produce a value closer to // zero than the immediate itself, then the formula isn't worthwhile. for (SmallVectorImpl::const_iterator J = NewF.BaseRegs.begin(), JE = NewF.BaseRegs.end(); J != JE; ++J) if (const SCEVConstant *C = dyn_cast(*J)) if ((C->getValue()->getValue() + NewF.AM.BaseOffs).abs().slt( abs64(NewF.AM.BaseOffs)) && (C->getValue()->getValue() + NewF.AM.BaseOffs).countTrailingZeros() >= CountTrailingZeros_64(NewF.AM.BaseOffs)) goto skip_formula; // Ok, looks good. (void)InsertFormula(LU, LUIdx, NewF); break; skip_formula:; } } } } } /// GenerateAllReuseFormulae - Generate formulae for each use. void LSRInstance::GenerateAllReuseFormulae() { // This is split into multiple loops so that hasRegsUsedByUsesOtherThan // queries are more precise. for (size_t LUIdx = 0, NumUses = Uses.size(); LUIdx != NumUses; ++LUIdx) { LSRUse &LU = Uses[LUIdx]; for (size_t i = 0, f = LU.Formulae.size(); i != f; ++i) GenerateReassociations(LU, LUIdx, LU.Formulae[i]); for (size_t i = 0, f = LU.Formulae.size(); i != f; ++i) GenerateCombinations(LU, LUIdx, LU.Formulae[i]); } for (size_t LUIdx = 0, NumUses = Uses.size(); LUIdx != NumUses; ++LUIdx) { LSRUse &LU = Uses[LUIdx]; for (size_t i = 0, f = LU.Formulae.size(); i != f; ++i) GenerateSymbolicOffsets(LU, LUIdx, LU.Formulae[i]); for (size_t i = 0, f = LU.Formulae.size(); i != f; ++i) GenerateConstantOffsets(LU, LUIdx, LU.Formulae[i]); for (size_t i = 0, f = LU.Formulae.size(); i != f; ++i) GenerateICmpZeroScales(LU, LUIdx, LU.Formulae[i]); for (size_t i = 0, f = LU.Formulae.size(); i != f; ++i) GenerateScales(LU, LUIdx, LU.Formulae[i]); } for (size_t LUIdx = 0, NumUses = Uses.size(); LUIdx != NumUses; ++LUIdx) { LSRUse &LU = Uses[LUIdx]; for (size_t i = 0, f = LU.Formulae.size(); i != f; ++i) GenerateTruncates(LU, LUIdx, LU.Formulae[i]); } GenerateCrossUseConstantOffsets(); DEBUG(dbgs() << "\n" "After generating reuse formulae:\n"; print_uses(dbgs())); } /// If their are multiple formulae with the same set of registers used /// by other uses, pick the best one and delete the others. void LSRInstance::FilterOutUndesirableDedicatedRegisters() { #ifndef NDEBUG bool ChangedFormulae = false; #endif // Collect the best formula for each unique set of shared registers. This // is reset for each use. typedef DenseMap, size_t, UniquifierDenseMapInfo> BestFormulaeTy; BestFormulaeTy BestFormulae; for (size_t LUIdx = 0, NumUses = Uses.size(); LUIdx != NumUses; ++LUIdx) { LSRUse &LU = Uses[LUIdx]; FormulaSorter Sorter(L, LU, SE, DT); DEBUG(dbgs() << "Filtering for use "; LU.print(dbgs()); dbgs() << '\n'); bool Any = false; for (size_t FIdx = 0, NumForms = LU.Formulae.size(); FIdx != NumForms; ++FIdx) { Formula &F = LU.Formulae[FIdx]; SmallVector Key; for (SmallVectorImpl::const_iterator J = F.BaseRegs.begin(), JE = F.BaseRegs.end(); J != JE; ++J) { const SCEV *Reg = *J; if (RegUses.isRegUsedByUsesOtherThan(Reg, LUIdx)) Key.push_back(Reg); } if (F.ScaledReg && RegUses.isRegUsedByUsesOtherThan(F.ScaledReg, LUIdx)) Key.push_back(F.ScaledReg); // Unstable sort by host order ok, because this is only used for // uniquifying. std::sort(Key.begin(), Key.end()); std::pair P = BestFormulae.insert(std::make_pair(Key, FIdx)); if (!P.second) { Formula &Best = LU.Formulae[P.first->second]; if (Sorter.operator()(F, Best)) std::swap(F, Best); DEBUG(dbgs() << " Filtering out formula "; F.print(dbgs()); dbgs() << "\n" " in favor of formula "; Best.print(dbgs()); dbgs() << '\n'); #ifndef NDEBUG ChangedFormulae = true; #endif LU.DeleteFormula(F); --FIdx; --NumForms; Any = true; continue; } } // Now that we've filtered out some formulae, recompute the Regs set. if (Any) LU.RecomputeRegs(LUIdx, RegUses); // Reset this to prepare for the next use. BestFormulae.clear(); } DEBUG(if (ChangedFormulae) { dbgs() << "\n" "After filtering out undesirable candidates:\n"; print_uses(dbgs()); }); } // This is a rough guess that seems to work fairly well. static const size_t ComplexityLimit = UINT16_MAX; /// EstimateSearchSpaceComplexity - Estimate the worst-case number of /// solutions the solver might have to consider. It almost never considers /// this many solutions because it prune the search space, but the pruning /// isn't always sufficient. size_t LSRInstance::EstimateSearchSpaceComplexity() const { uint32_t Power = 1; for (SmallVectorImpl::const_iterator I = Uses.begin(), E = Uses.end(); I != E; ++I) { size_t FSize = I->Formulae.size(); if (FSize >= ComplexityLimit) { Power = ComplexityLimit; break; } Power *= FSize; if (Power >= ComplexityLimit) break; } return Power; } /// NarrowSearchSpaceByDetectingSupersets - When one formula uses a superset /// of the registers of another formula, it won't help reduce register /// pressure (though it may not necessarily hurt register pressure); remove /// it to simplify the system. void LSRInstance::NarrowSearchSpaceByDetectingSupersets() { if (EstimateSearchSpaceComplexity() >= ComplexityLimit) { DEBUG(dbgs() << "The search space is too complex.\n"); DEBUG(dbgs() << "Narrowing the search space by eliminating formulae " "which use a superset of registers used by other " "formulae.\n"); for (size_t LUIdx = 0, NumUses = Uses.size(); LUIdx != NumUses; ++LUIdx) { LSRUse &LU = Uses[LUIdx]; bool Any = false; for (size_t i = 0, e = LU.Formulae.size(); i != e; ++i) { Formula &F = LU.Formulae[i]; // Look for a formula with a constant or GV in a register. If the use // also has a formula with that same value in an immediate field, // delete the one that uses a register. for (SmallVectorImpl::const_iterator I = F.BaseRegs.begin(), E = F.BaseRegs.end(); I != E; ++I) { if (const SCEVConstant *C = dyn_cast(*I)) { Formula NewF = F; NewF.AM.BaseOffs += C->getValue()->getSExtValue(); NewF.BaseRegs.erase(NewF.BaseRegs.begin() + (I - F.BaseRegs.begin())); if (LU.HasFormulaWithSameRegs(NewF)) { DEBUG(dbgs() << " Deleting "; F.print(dbgs()); dbgs() << '\n'); LU.DeleteFormula(F); --i; --e; Any = true; break; } } else if (const SCEVUnknown *U = dyn_cast(*I)) { if (GlobalValue *GV = dyn_cast(U->getValue())) if (!F.AM.BaseGV) { Formula NewF = F; NewF.AM.BaseGV = GV; NewF.BaseRegs.erase(NewF.BaseRegs.begin() + (I - F.BaseRegs.begin())); if (LU.HasFormulaWithSameRegs(NewF)) { DEBUG(dbgs() << " Deleting "; F.print(dbgs()); dbgs() << '\n'); LU.DeleteFormula(F); --i; --e; Any = true; break; } } } } } if (Any) LU.RecomputeRegs(LUIdx, RegUses); } DEBUG(dbgs() << "After pre-selection:\n"; print_uses(dbgs())); } } /// NarrowSearchSpaceByCollapsingUnrolledCode - When there are many registers /// for expressions like A, A+1, A+2, etc., allocate a single register for /// them. void LSRInstance::NarrowSearchSpaceByCollapsingUnrolledCode() { if (EstimateSearchSpaceComplexity() >= ComplexityLimit) { DEBUG(dbgs() << "The search space is too complex.\n"); DEBUG(dbgs() << "Narrowing the search space by assuming that uses " "separated by a constant offset will use the same " "registers.\n"); // This is especially useful for unrolled loops. for (size_t LUIdx = 0, NumUses = Uses.size(); LUIdx != NumUses; ++LUIdx) { LSRUse &LU = Uses[LUIdx]; for (SmallVectorImpl::const_iterator I = LU.Formulae.begin(), E = LU.Formulae.end(); I != E; ++I) { const Formula &F = *I; if (F.AM.BaseOffs != 0 && F.AM.Scale == 0) { if (LSRUse *LUThatHas = FindUseWithSimilarFormula(F, LU)) { if (reconcileNewOffset(*LUThatHas, F.AM.BaseOffs, /*HasBaseReg=*/false, LU.Kind, LU.AccessTy)) { DEBUG(dbgs() << " Deleting use "; LU.print(dbgs()); dbgs() << '\n'); LUThatHas->AllFixupsOutsideLoop &= LU.AllFixupsOutsideLoop; // Delete formulae from the new use which are no longer legal. bool Any = false; for (size_t i = 0, e = LUThatHas->Formulae.size(); i != e; ++i) { Formula &F = LUThatHas->Formulae[i]; if (!isLegalUse(F.AM, LUThatHas->MinOffset, LUThatHas->MaxOffset, LUThatHas->Kind, LUThatHas->AccessTy, TLI)) { DEBUG(dbgs() << " Deleting "; F.print(dbgs()); dbgs() << '\n'); LUThatHas->DeleteFormula(F); --i; --e; Any = true; } } if (Any) LUThatHas->RecomputeRegs(LUThatHas - &Uses.front(), RegUses); // Update the relocs to reference the new use. for (SmallVectorImpl::iterator I = Fixups.begin(), E = Fixups.end(); I != E; ++I) { LSRFixup &Fixup = *I; if (Fixup.LUIdx == LUIdx) { Fixup.LUIdx = LUThatHas - &Uses.front(); Fixup.Offset += F.AM.BaseOffs; DEBUG(dbgs() << "New fixup has offset " << Fixup.Offset << '\n'); } if (Fixup.LUIdx == NumUses-1) Fixup.LUIdx = LUIdx; } // Delete the old use. DeleteUse(LU); --LUIdx; --NumUses; break; } } } } } DEBUG(dbgs() << "After pre-selection:\n"; print_uses(dbgs())); } } /// NarrowSearchSpaceByRefilteringUndesirableDedicatedRegisters - Call /// FilterOutUndesirableDedicatedRegisters again, if necessary, now that /// we've done more filtering, as it may be able to find more formulae to /// eliminate. void LSRInstance::NarrowSearchSpaceByRefilteringUndesirableDedicatedRegisters(){ if (EstimateSearchSpaceComplexity() >= ComplexityLimit) { DEBUG(dbgs() << "The search space is too complex.\n"); DEBUG(dbgs() << "Narrowing the search space by re-filtering out " "undesirable dedicated registers.\n"); FilterOutUndesirableDedicatedRegisters(); DEBUG(dbgs() << "After pre-selection:\n"; print_uses(dbgs())); } } /// NarrowSearchSpaceByPickingWinnerRegs - Pick a register which seems likely /// to be profitable, and then in any use which has any reference to that /// register, delete all formulae which do not reference that register. void LSRInstance::NarrowSearchSpaceByPickingWinnerRegs() { // With all other options exhausted, loop until the system is simple // enough to handle. SmallPtrSet Taken; while (EstimateSearchSpaceComplexity() >= ComplexityLimit) { // Ok, we have too many of formulae on our hands to conveniently handle. // Use a rough heuristic to thin out the list. DEBUG(dbgs() << "The search space is too complex.\n"); // Pick the register which is used by the most LSRUses, which is likely // to be a good reuse register candidate. const SCEV *Best = 0; unsigned BestNum = 0; for (RegUseTracker::const_iterator I = RegUses.begin(), E = RegUses.end(); I != E; ++I) { const SCEV *Reg = *I; if (Taken.count(Reg)) continue; if (!Best) Best = Reg; else { unsigned Count = RegUses.getUsedByIndices(Reg).count(); if (Count > BestNum) { Best = Reg; BestNum = Count; } } } DEBUG(dbgs() << "Narrowing the search space by assuming " << *Best << " will yield profitable reuse.\n"); Taken.insert(Best); // In any use with formulae which references this register, delete formulae // which don't reference it. for (size_t LUIdx = 0, NumUses = Uses.size(); LUIdx != NumUses; ++LUIdx) { LSRUse &LU = Uses[LUIdx]; if (!LU.Regs.count(Best)) continue; bool Any = false; for (size_t i = 0, e = LU.Formulae.size(); i != e; ++i) { Formula &F = LU.Formulae[i]; if (!F.referencesReg(Best)) { DEBUG(dbgs() << " Deleting "; F.print(dbgs()); dbgs() << '\n'); LU.DeleteFormula(F); --e; --i; Any = true; assert(e != 0 && "Use has no formulae left! Is Regs inconsistent?"); continue; } } if (Any) LU.RecomputeRegs(LUIdx, RegUses); } DEBUG(dbgs() << "After pre-selection:\n"; print_uses(dbgs())); } } /// NarrowSearchSpaceUsingHeuristics - If there are an extraordinary number of /// formulae to choose from, use some rough heuristics to prune down the number /// of formulae. This keeps the main solver from taking an extraordinary amount /// of time in some worst-case scenarios. void LSRInstance::NarrowSearchSpaceUsingHeuristics() { NarrowSearchSpaceByDetectingSupersets(); NarrowSearchSpaceByCollapsingUnrolledCode(); NarrowSearchSpaceByRefilteringUndesirableDedicatedRegisters(); NarrowSearchSpaceByPickingWinnerRegs(); } /// SolveRecurse - This is the recursive solver. void LSRInstance::SolveRecurse(SmallVectorImpl &Solution, Cost &SolutionCost, SmallVectorImpl &Workspace, const Cost &CurCost, const SmallPtrSet &CurRegs, DenseSet &VisitedRegs) const { // Some ideas: // - prune more: // - use more aggressive filtering // - sort the formula so that the most profitable solutions are found first // - sort the uses too // - search faster: // - don't compute a cost, and then compare. compare while computing a cost // and bail early. // - track register sets with SmallBitVector const LSRUse &LU = Uses[Workspace.size()]; // If this use references any register that's already a part of the // in-progress solution, consider it a requirement that a formula must // reference that register in order to be considered. This prunes out // unprofitable searching. SmallSetVector ReqRegs; for (SmallPtrSet::const_iterator I = CurRegs.begin(), E = CurRegs.end(); I != E; ++I) if (LU.Regs.count(*I)) ReqRegs.insert(*I); bool AnySatisfiedReqRegs = false; SmallPtrSet NewRegs; Cost NewCost; retry: for (SmallVectorImpl::const_iterator I = LU.Formulae.begin(), E = LU.Formulae.end(); I != E; ++I) { const Formula &F = *I; // Ignore formulae which do not use any of the required registers. for (SmallSetVector::const_iterator J = ReqRegs.begin(), JE = ReqRegs.end(); J != JE; ++J) { const SCEV *Reg = *J; if ((!F.ScaledReg || F.ScaledReg != Reg) && std::find(F.BaseRegs.begin(), F.BaseRegs.end(), Reg) == F.BaseRegs.end()) goto skip; } AnySatisfiedReqRegs = true; // Evaluate the cost of the current formula. If it's already worse than // the current best, prune the search at that point. NewCost = CurCost; NewRegs = CurRegs; NewCost.RateFormula(F, NewRegs, VisitedRegs, L, LU.Offsets, SE, DT); if (NewCost < SolutionCost) { Workspace.push_back(&F); if (Workspace.size() != Uses.size()) { SolveRecurse(Solution, SolutionCost, Workspace, NewCost, NewRegs, VisitedRegs); if (F.getNumRegs() == 1 && Workspace.size() == 1) VisitedRegs.insert(F.ScaledReg ? F.ScaledReg : F.BaseRegs[0]); } else { DEBUG(dbgs() << "New best at "; NewCost.print(dbgs()); dbgs() << ". Regs:"; for (SmallPtrSet::const_iterator I = NewRegs.begin(), E = NewRegs.end(); I != E; ++I) dbgs() << ' ' << **I; dbgs() << '\n'); SolutionCost = NewCost; Solution = Workspace; } Workspace.pop_back(); } skip:; } // If none of the formulae had all of the required registers, relax the // constraint so that we don't exclude all formulae. if (!AnySatisfiedReqRegs) { assert(!ReqRegs.empty() && "Solver failed even without required registers"); ReqRegs.clear(); goto retry; } } /// Solve - Choose one formula from each use. Return the results in the given /// Solution vector. void LSRInstance::Solve(SmallVectorImpl &Solution) const { SmallVector Workspace; Cost SolutionCost; SolutionCost.Loose(); Cost CurCost; SmallPtrSet CurRegs; DenseSet VisitedRegs; Workspace.reserve(Uses.size()); // SolveRecurse does all the work. SolveRecurse(Solution, SolutionCost, Workspace, CurCost, CurRegs, VisitedRegs); // Ok, we've now made all our decisions. DEBUG(dbgs() << "\n" "The chosen solution requires "; SolutionCost.print(dbgs()); dbgs() << ":\n"; for (size_t i = 0, e = Uses.size(); i != e; ++i) { dbgs() << " "; Uses[i].print(dbgs()); dbgs() << "\n" " "; Solution[i]->print(dbgs()); dbgs() << '\n'; }); assert(Solution.size() == Uses.size() && "Malformed solution!"); } /// HoistInsertPosition - Helper for AdjustInsertPositionForExpand. Climb up /// the dominator tree far as we can go while still being dominated by the /// input positions. This helps canonicalize the insert position, which /// encourages sharing. BasicBlock::iterator LSRInstance::HoistInsertPosition(BasicBlock::iterator IP, const SmallVectorImpl &Inputs) const { for (;;) { const Loop *IPLoop = LI.getLoopFor(IP->getParent()); unsigned IPLoopDepth = IPLoop ? IPLoop->getLoopDepth() : 0; BasicBlock *IDom; for (DomTreeNode *Rung = DT.getNode(IP->getParent()); ; ) { if (!Rung) return IP; Rung = Rung->getIDom(); if (!Rung) return IP; IDom = Rung->getBlock(); // Don't climb into a loop though. const Loop *IDomLoop = LI.getLoopFor(IDom); unsigned IDomDepth = IDomLoop ? IDomLoop->getLoopDepth() : 0; if (IDomDepth <= IPLoopDepth && (IDomDepth != IPLoopDepth || IDomLoop == IPLoop)) break; } bool AllDominate = true; Instruction *BetterPos = 0; Instruction *Tentative = IDom->getTerminator(); for (SmallVectorImpl::const_iterator I = Inputs.begin(), E = Inputs.end(); I != E; ++I) { Instruction *Inst = *I; if (Inst == Tentative || !DT.dominates(Inst, Tentative)) { AllDominate = false; break; } // Attempt to find an insert position in the middle of the block, // instead of at the end, so that it can be used for other expansions. if (IDom == Inst->getParent() && (!BetterPos || DT.dominates(BetterPos, Inst))) BetterPos = llvm::next(BasicBlock::iterator(Inst)); } if (!AllDominate) break; if (BetterPos) IP = BetterPos; else IP = Tentative; } return IP; } /// AdjustInsertPositionForExpand - Determine an input position which will be /// dominated by the operands and which will dominate the result. BasicBlock::iterator LSRInstance::AdjustInsertPositionForExpand(BasicBlock::iterator IP, const LSRFixup &LF, const LSRUse &LU) const { // Collect some instructions which must be dominated by the // expanding replacement. These must be dominated by any operands that // will be required in the expansion. SmallVector Inputs; if (Instruction *I = dyn_cast(LF.OperandValToReplace)) Inputs.push_back(I); if (LU.Kind == LSRUse::ICmpZero) if (Instruction *I = dyn_cast(cast(LF.UserInst)->getOperand(1))) Inputs.push_back(I); if (LF.PostIncLoops.count(L)) { if (LF.isUseFullyOutsideLoop(L)) Inputs.push_back(L->getLoopLatch()->getTerminator()); else Inputs.push_back(IVIncInsertPos); } // The expansion must also be dominated by the increment positions of any // loops it for which it is using post-inc mode. for (PostIncLoopSet::const_iterator I = LF.PostIncLoops.begin(), E = LF.PostIncLoops.end(); I != E; ++I) { const Loop *PIL = *I; if (PIL == L) continue; // Be dominated by the loop exit. SmallVector ExitingBlocks; PIL->getExitingBlocks(ExitingBlocks); if (!ExitingBlocks.empty()) { BasicBlock *BB = ExitingBlocks[0]; for (unsigned i = 1, e = ExitingBlocks.size(); i != e; ++i) BB = DT.findNearestCommonDominator(BB, ExitingBlocks[i]); Inputs.push_back(BB->getTerminator()); } } // Then, climb up the immediate dominator tree as far as we can go while // still being dominated by the input positions. IP = HoistInsertPosition(IP, Inputs); // Don't insert instructions before PHI nodes. while (isa(IP)) ++IP; // Ignore debug intrinsics. while (isa(IP)) ++IP; return IP; } /// Expand - Emit instructions for the leading candidate expression for this /// LSRUse (this is called "expanding"). Value *LSRInstance::Expand(const LSRFixup &LF, const Formula &F, BasicBlock::iterator IP, SCEVExpander &Rewriter, SmallVectorImpl &DeadInsts) const { const LSRUse &LU = Uses[LF.LUIdx]; // Determine an input position which will be dominated by the operands and // which will dominate the result. IP = AdjustInsertPositionForExpand(IP, LF, LU); // Inform the Rewriter if we have a post-increment use, so that it can // perform an advantageous expansion. Rewriter.setPostInc(LF.PostIncLoops); // This is the type that the user actually needs. const Type *OpTy = LF.OperandValToReplace->getType(); // This will be the type that we'll initially expand to. const Type *Ty = F.getType(); if (!Ty) // No type known; just expand directly to the ultimate type. Ty = OpTy; else if (SE.getEffectiveSCEVType(Ty) == SE.getEffectiveSCEVType(OpTy)) // Expand directly to the ultimate type if it's the right size. Ty = OpTy; // This is the type to do integer arithmetic in. const Type *IntTy = SE.getEffectiveSCEVType(Ty); // Build up a list of operands to add together to form the full base. SmallVector Ops; // Expand the BaseRegs portion. for (SmallVectorImpl::const_iterator I = F.BaseRegs.begin(), E = F.BaseRegs.end(); I != E; ++I) { const SCEV *Reg = *I; assert(!Reg->isZero() && "Zero allocated in a base register!"); // If we're expanding for a post-inc user, make the post-inc adjustment. PostIncLoopSet &Loops = const_cast(LF.PostIncLoops); Reg = TransformForPostIncUse(Denormalize, Reg, LF.UserInst, LF.OperandValToReplace, Loops, SE, DT); Ops.push_back(SE.getUnknown(Rewriter.expandCodeFor(Reg, 0, IP))); } // Flush the operand list to suppress SCEVExpander hoisting. if (!Ops.empty()) { Value *FullV = Rewriter.expandCodeFor(SE.getAddExpr(Ops), Ty, IP); Ops.clear(); Ops.push_back(SE.getUnknown(FullV)); } // Expand the ScaledReg portion. Value *ICmpScaledV = 0; if (F.AM.Scale != 0) { const SCEV *ScaledS = F.ScaledReg; // If we're expanding for a post-inc user, make the post-inc adjustment. PostIncLoopSet &Loops = const_cast(LF.PostIncLoops); ScaledS = TransformForPostIncUse(Denormalize, ScaledS, LF.UserInst, LF.OperandValToReplace, Loops, SE, DT); if (LU.Kind == LSRUse::ICmpZero) { // An interesting way of "folding" with an icmp is to use a negated // scale, which we'll implement by inserting it into the other operand // of the icmp. assert(F.AM.Scale == -1 && "The only scale supported by ICmpZero uses is -1!"); ICmpScaledV = Rewriter.expandCodeFor(ScaledS, 0, IP); } else { // Otherwise just expand the scaled register and an explicit scale, // which is expected to be matched as part of the address. ScaledS = SE.getUnknown(Rewriter.expandCodeFor(ScaledS, 0, IP)); ScaledS = SE.getMulExpr(ScaledS, SE.getConstant(ScaledS->getType(), F.AM.Scale)); Ops.push_back(ScaledS); // Flush the operand list to suppress SCEVExpander hoisting. Value *FullV = Rewriter.expandCodeFor(SE.getAddExpr(Ops), Ty, IP); Ops.clear(); Ops.push_back(SE.getUnknown(FullV)); } } // Expand the GV portion. if (F.AM.BaseGV) { Ops.push_back(SE.getUnknown(F.AM.BaseGV)); // Flush the operand list to suppress SCEVExpander hoisting. Value *FullV = Rewriter.expandCodeFor(SE.getAddExpr(Ops), Ty, IP); Ops.clear(); Ops.push_back(SE.getUnknown(FullV)); } // Expand the immediate portion. int64_t Offset = (uint64_t)F.AM.BaseOffs + LF.Offset; if (Offset != 0) { if (LU.Kind == LSRUse::ICmpZero) { // The other interesting way of "folding" with an ICmpZero is to use a // negated immediate. if (!ICmpScaledV) ICmpScaledV = ConstantInt::get(IntTy, -Offset); else { Ops.push_back(SE.getUnknown(ICmpScaledV)); ICmpScaledV = ConstantInt::get(IntTy, Offset); } } else { // Just add the immediate values. These again are expected to be matched // as part of the address. Ops.push_back(SE.getUnknown(ConstantInt::getSigned(IntTy, Offset))); } } // Emit instructions summing all the operands. const SCEV *FullS = Ops.empty() ? SE.getConstant(IntTy, 0) : SE.getAddExpr(Ops); Value *FullV = Rewriter.expandCodeFor(FullS, Ty, IP); // We're done expanding now, so reset the rewriter. Rewriter.clearPostInc(); // An ICmpZero Formula represents an ICmp which we're handling as a // comparison against zero. Now that we've expanded an expression for that // form, update the ICmp's other operand. if (LU.Kind == LSRUse::ICmpZero) { ICmpInst *CI = cast(LF.UserInst); DeadInsts.push_back(CI->getOperand(1)); assert(!F.AM.BaseGV && "ICmp does not support folding a global value and " "a scale at the same time!"); if (F.AM.Scale == -1) { if (ICmpScaledV->getType() != OpTy) { Instruction *Cast = CastInst::Create(CastInst::getCastOpcode(ICmpScaledV, false, OpTy, false), ICmpScaledV, OpTy, "tmp", CI); ICmpScaledV = Cast; } CI->setOperand(1, ICmpScaledV); } else { assert(F.AM.Scale == 0 && "ICmp does not support folding a global value and " "a scale at the same time!"); Constant *C = ConstantInt::getSigned(SE.getEffectiveSCEVType(OpTy), -(uint64_t)Offset); if (C->getType() != OpTy) C = ConstantExpr::getCast(CastInst::getCastOpcode(C, false, OpTy, false), C, OpTy); CI->setOperand(1, C); } } return FullV; } /// RewriteForPHI - Helper for Rewrite. PHI nodes are special because the use /// of their operands effectively happens in their predecessor blocks, so the /// expression may need to be expanded in multiple places. void LSRInstance::RewriteForPHI(PHINode *PN, const LSRFixup &LF, const Formula &F, SCEVExpander &Rewriter, SmallVectorImpl &DeadInsts, Pass *P) const { DenseMap Inserted; for (unsigned i = 0, e = PN->getNumIncomingValues(); i != e; ++i) if (PN->getIncomingValue(i) == LF.OperandValToReplace) { BasicBlock *BB = PN->getIncomingBlock(i); // If this is a critical edge, split the edge so that we do not insert // the code on all predecessor/successor paths. We do this unless this // is the canonical backedge for this loop, which complicates post-inc // users. if (e != 1 && BB->getTerminator()->getNumSuccessors() > 1 && !isa(BB->getTerminator()) && (PN->getParent() != L->getHeader() || !L->contains(BB))) { // Split the critical edge. BasicBlock *NewBB = SplitCriticalEdge(BB, PN->getParent(), P); // If PN is outside of the loop and BB is in the loop, we want to // move the block to be immediately before the PHI block, not // immediately after BB. if (L->contains(BB) && !L->contains(PN)) NewBB->moveBefore(PN->getParent()); // Splitting the edge can reduce the number of PHI entries we have. e = PN->getNumIncomingValues(); BB = NewBB; i = PN->getBasicBlockIndex(BB); } std::pair::iterator, bool> Pair = Inserted.insert(std::make_pair(BB, static_cast(0))); if (!Pair.second) PN->setIncomingValue(i, Pair.first->second); else { Value *FullV = Expand(LF, F, BB->getTerminator(), Rewriter, DeadInsts); // If this is reuse-by-noop-cast, insert the noop cast. const Type *OpTy = LF.OperandValToReplace->getType(); if (FullV->getType() != OpTy) FullV = CastInst::Create(CastInst::getCastOpcode(FullV, false, OpTy, false), FullV, LF.OperandValToReplace->getType(), "tmp", BB->getTerminator()); PN->setIncomingValue(i, FullV); Pair.first->second = FullV; } } } /// Rewrite - Emit instructions for the leading candidate expression for this /// LSRUse (this is called "expanding"), and update the UserInst to reference /// the newly expanded value. void LSRInstance::Rewrite(const LSRFixup &LF, const Formula &F, SCEVExpander &Rewriter, SmallVectorImpl &DeadInsts, Pass *P) const { // First, find an insertion point that dominates UserInst. For PHI nodes, // find the nearest block which dominates all the relevant uses. if (PHINode *PN = dyn_cast(LF.UserInst)) { RewriteForPHI(PN, LF, F, Rewriter, DeadInsts, P); } else { Value *FullV = Expand(LF, F, LF.UserInst, Rewriter, DeadInsts); // If this is reuse-by-noop-cast, insert the noop cast. const Type *OpTy = LF.OperandValToReplace->getType(); if (FullV->getType() != OpTy) { Instruction *Cast = CastInst::Create(CastInst::getCastOpcode(FullV, false, OpTy, false), FullV, OpTy, "tmp", LF.UserInst); FullV = Cast; } // Update the user. ICmpZero is handled specially here (for now) because // Expand may have updated one of the operands of the icmp already, and // its new value may happen to be equal to LF.OperandValToReplace, in // which case doing replaceUsesOfWith leads to replacing both operands // with the same value. TODO: Reorganize this. if (Uses[LF.LUIdx].Kind == LSRUse::ICmpZero) LF.UserInst->setOperand(0, FullV); else LF.UserInst->replaceUsesOfWith(LF.OperandValToReplace, FullV); } DeadInsts.push_back(LF.OperandValToReplace); } /// ImplementSolution - Rewrite all the fixup locations with new values, /// following the chosen solution. void LSRInstance::ImplementSolution(const SmallVectorImpl &Solution, Pass *P) { // Keep track of instructions we may have made dead, so that // we can remove them after we are done working. SmallVector DeadInsts; SCEVExpander Rewriter(SE); Rewriter.disableCanonicalMode(); Rewriter.setIVIncInsertPos(L, IVIncInsertPos); // Expand the new value definitions and update the users. for (SmallVectorImpl::const_iterator I = Fixups.begin(), E = Fixups.end(); I != E; ++I) { const LSRFixup &Fixup = *I; Rewrite(Fixup, *Solution[Fixup.LUIdx], Rewriter, DeadInsts, P); Changed = true; } // Clean up after ourselves. This must be done before deleting any // instructions. Rewriter.clear(); Changed |= DeleteTriviallyDeadInstructions(DeadInsts); } LSRInstance::LSRInstance(const TargetLowering *tli, Loop *l, Pass *P) : IU(P->getAnalysis()), SE(P->getAnalysis()), DT(P->getAnalysis()), LI(P->getAnalysis()), TLI(tli), L(l), Changed(false), IVIncInsertPos(0) { // If LoopSimplify form is not available, stay out of trouble. if (!L->isLoopSimplifyForm()) return; // If there's no interesting work to be done, bail early. if (IU.empty()) return; DEBUG(dbgs() << "\nLSR on loop "; WriteAsOperand(dbgs(), L->getHeader(), /*PrintType=*/false); dbgs() << ":\n"); // First, perform some low-level loop optimizations. OptimizeShadowIV(); OptimizeLoopTermCond(); // Start collecting data and preparing for the solver. CollectInterestingTypesAndFactors(); CollectFixupsAndInitialFormulae(); CollectLoopInvariantFixupsAndFormulae(); DEBUG(dbgs() << "LSR found " << Uses.size() << " uses:\n"; print_uses(dbgs())); // Now use the reuse data to generate a bunch of interesting ways // to formulate the values needed for the uses. GenerateAllReuseFormulae(); FilterOutUndesirableDedicatedRegisters(); NarrowSearchSpaceUsingHeuristics(); SmallVector Solution; Solve(Solution); // Release memory that is no longer needed. Factors.clear(); Types.clear(); RegUses.clear(); #ifndef NDEBUG // Formulae should be legal. for (SmallVectorImpl::const_iterator I = Uses.begin(), E = Uses.end(); I != E; ++I) { const LSRUse &LU = *I; for (SmallVectorImpl::const_iterator J = LU.Formulae.begin(), JE = LU.Formulae.end(); J != JE; ++J) assert(isLegalUse(J->AM, LU.MinOffset, LU.MaxOffset, LU.Kind, LU.AccessTy, TLI) && "Illegal formula generated!"); }; #endif // Now that we've decided what we want, make it so. ImplementSolution(Solution, P); } void LSRInstance::print_factors_and_types(raw_ostream &OS) const { if (Factors.empty() && Types.empty()) return; OS << "LSR has identified the following interesting factors and types: "; bool First = true; for (SmallSetVector::const_iterator I = Factors.begin(), E = Factors.end(); I != E; ++I) { if (!First) OS << ", "; First = false; OS << '*' << *I; } for (SmallSetVector::const_iterator I = Types.begin(), E = Types.end(); I != E; ++I) { if (!First) OS << ", "; First = false; OS << '(' << **I << ')'; } OS << '\n'; } void LSRInstance::print_fixups(raw_ostream &OS) const { OS << "LSR is examining the following fixup sites:\n"; for (SmallVectorImpl::const_iterator I = Fixups.begin(), E = Fixups.end(); I != E; ++I) { dbgs() << " "; I->print(OS); OS << '\n'; } } void LSRInstance::print_uses(raw_ostream &OS) const { OS << "LSR is examining the following uses:\n"; for (SmallVectorImpl::const_iterator I = Uses.begin(), E = Uses.end(); I != E; ++I) { const LSRUse &LU = *I; dbgs() << " "; LU.print(OS); OS << '\n'; for (SmallVectorImpl::const_iterator J = LU.Formulae.begin(), JE = LU.Formulae.end(); J != JE; ++J) { OS << " "; J->print(OS); OS << '\n'; } } } void LSRInstance::print(raw_ostream &OS) const { print_factors_and_types(OS); print_fixups(OS); print_uses(OS); } void LSRInstance::dump() const { print(errs()); errs() << '\n'; } namespace { class LoopStrengthReduce : public LoopPass { /// TLI - Keep a pointer of a TargetLowering to consult for determining /// transformation profitability. const TargetLowering *const TLI; public: static char ID; // Pass ID, replacement for typeid explicit LoopStrengthReduce(const TargetLowering *tli = 0); private: bool runOnLoop(Loop *L, LPPassManager &LPM); void getAnalysisUsage(AnalysisUsage &AU) const; }; } char LoopStrengthReduce::ID = 0; INITIALIZE_PASS(LoopStrengthReduce, "loop-reduce", "Loop Strength Reduction", false, false); Pass *llvm::createLoopStrengthReducePass(const TargetLowering *TLI) { return new LoopStrengthReduce(TLI); } LoopStrengthReduce::LoopStrengthReduce(const TargetLowering *tli) : LoopPass(ID), TLI(tli) {} void LoopStrengthReduce::getAnalysisUsage(AnalysisUsage &AU) const { // We split critical edges, so we change the CFG. However, we do update // many analyses if they are around. AU.addPreservedID(LoopSimplifyID); AU.addPreserved("domfrontier"); AU.addRequired(); AU.addPreserved(); AU.addRequiredID(LoopSimplifyID); AU.addRequired(); AU.addPreserved(); AU.addRequired(); AU.addPreserved(); AU.addRequired(); AU.addPreserved(); } bool LoopStrengthReduce::runOnLoop(Loop *L, LPPassManager & /*LPM*/) { bool Changed = false; // Run the main LSR transformation. Changed |= LSRInstance(TLI, L, this).getChanged(); // At this point, it is worth checking to see if any recurrence PHIs are also // dead, so that we can remove them as well. Changed |= DeleteDeadPHIs(L->getHeader()); return Changed; }