//===- Reassociate.cpp - Reassociate binary expressions -------------------===// // // The LLVM Compiler Infrastructure // // This file was developed by the LLVM research group and is distributed under // the University of Illinois Open Source License. See LICENSE.TXT for details. // //===----------------------------------------------------------------------===// // // This pass reassociates commutative expressions in an order that is designed // to promote better constant propagation, GCSE, LICM, PRE... // // For example: 4 + (x + 5) -> x + (4 + 5) // // In the implementation of this algorithm, constants are assigned rank = 0, // function arguments are rank = 1, and other values are assigned ranks // corresponding to the reverse post order traversal of current function // (starting at 2), which effectively gives values in deep loops higher rank // than values not in loops. // //===----------------------------------------------------------------------===// #define DEBUG_TYPE "reassociate" #include "llvm/Transforms/Scalar.h" #include "llvm/Constants.h" #include "llvm/Function.h" #include "llvm/Instructions.h" #include "llvm/Pass.h" #include "llvm/Type.h" #include "llvm/Assembly/Writer.h" #include "llvm/Support/CFG.h" #include "llvm/Support/Debug.h" #include "llvm/ADT/PostOrderIterator.h" #include "llvm/ADT/Statistic.h" #include #include using namespace llvm; namespace { Statistic<> NumLinear ("reassociate","Number of insts linearized"); Statistic<> NumChanged("reassociate","Number of insts reassociated"); Statistic<> NumSwapped("reassociate","Number of insts with operands swapped"); Statistic<> NumAnnihil("reassociate","Number of expr tree annihilated"); Statistic<> NumFactor ("reassociate","Number of multiplies factored"); struct ValueEntry { unsigned Rank; Value *Op; ValueEntry(unsigned R, Value *O) : Rank(R), Op(O) {} }; inline bool operator<(const ValueEntry &LHS, const ValueEntry &RHS) { return LHS.Rank > RHS.Rank; // Sort so that highest rank goes to start. } } /// PrintOps - Print out the expression identified in the Ops list. /// static void PrintOps(Instruction *I, const std::vector &Ops) { Module *M = I->getParent()->getParent()->getParent(); std::cerr << Instruction::getOpcodeName(I->getOpcode()) << " " << *Ops[0].Op->getType(); for (unsigned i = 0, e = Ops.size(); i != e; ++i) WriteAsOperand(std::cerr << " ", Ops[i].Op, false, true, M) << "," << Ops[i].Rank; } namespace { class Reassociate : public FunctionPass { std::map RankMap; std::map ValueRankMap; bool MadeChange; public: bool runOnFunction(Function &F); virtual void getAnalysisUsage(AnalysisUsage &AU) const { AU.setPreservesCFG(); } private: void BuildRankMap(Function &F); unsigned getRank(Value *V); void RewriteExprTree(BinaryOperator *I, unsigned Idx, std::vector &Ops); Value *OptimizeExpression(BinaryOperator *I, std::vector &Ops); void LinearizeExprTree(BinaryOperator *I, std::vector &Ops); void LinearizeExpr(BinaryOperator *I); Value *RemoveFactorFromExpression(Value *V, Value *Factor); void ReassociateBB(BasicBlock *BB); void RemoveDeadBinaryOp(Value *V); }; RegisterOpt X("reassociate", "Reassociate expressions"); } // Public interface to the Reassociate pass FunctionPass *llvm::createReassociatePass() { return new Reassociate(); } void Reassociate::RemoveDeadBinaryOp(Value *V) { BinaryOperator *BOp = dyn_cast(V); if (!BOp || !BOp->use_empty()) return; Value *LHS = BOp->getOperand(0), *RHS = BOp->getOperand(1); RemoveDeadBinaryOp(LHS); RemoveDeadBinaryOp(RHS); } static bool isUnmovableInstruction(Instruction *I) { if (I->getOpcode() == Instruction::PHI || I->getOpcode() == Instruction::Alloca || I->getOpcode() == Instruction::Load || I->getOpcode() == Instruction::Malloc || I->getOpcode() == Instruction::Invoke || I->getOpcode() == Instruction::Call || I->getOpcode() == Instruction::Div || I->getOpcode() == Instruction::Rem) return true; return false; } void Reassociate::BuildRankMap(Function &F) { unsigned i = 2; // Assign distinct ranks to function arguments for (Function::arg_iterator I = F.arg_begin(), E = F.arg_end(); I != E; ++I) ValueRankMap[I] = ++i; ReversePostOrderTraversal RPOT(&F); for (ReversePostOrderTraversal::rpo_iterator I = RPOT.begin(), E = RPOT.end(); I != E; ++I) { BasicBlock *BB = *I; unsigned BBRank = RankMap[BB] = ++i << 16; // Walk the basic block, adding precomputed ranks for any instructions that // we cannot move. This ensures that the ranks for these instructions are // all different in the block. for (BasicBlock::iterator I = BB->begin(), E = BB->end(); I != E; ++I) if (isUnmovableInstruction(I)) ValueRankMap[I] = ++BBRank; } } unsigned Reassociate::getRank(Value *V) { if (isa(V)) return ValueRankMap[V]; // Function argument... Instruction *I = dyn_cast(V); if (I == 0) return 0; // Otherwise it's a global or constant, rank 0. unsigned &CachedRank = ValueRankMap[I]; if (CachedRank) return CachedRank; // Rank already known? // If this is an expression, return the 1+MAX(rank(LHS), rank(RHS)) so that // we can reassociate expressions for code motion! Since we do not recurse // for PHI nodes, we cannot have infinite recursion here, because there // cannot be loops in the value graph that do not go through PHI nodes. unsigned Rank = 0, MaxRank = RankMap[I->getParent()]; for (unsigned i = 0, e = I->getNumOperands(); i != e && Rank != MaxRank; ++i) Rank = std::max(Rank, getRank(I->getOperand(i))); // If this is a not or neg instruction, do not count it for rank. This // assures us that X and ~X will have the same rank. if (!I->getType()->isIntegral() || (!BinaryOperator::isNot(I) && !BinaryOperator::isNeg(I))) ++Rank; //DEBUG(std::cerr << "Calculated Rank[" << V->getName() << "] = " //<< Rank << "\n"); return CachedRank = Rank; } /// isReassociableOp - Return true if V is an instruction of the specified /// opcode and if it only has one use. static BinaryOperator *isReassociableOp(Value *V, unsigned Opcode) { if (V->hasOneUse() && isa(V) && cast(V)->getOpcode() == Opcode) return cast(V); return 0; } /// LowerNegateToMultiply - Replace 0-X with X*-1. /// static Instruction *LowerNegateToMultiply(Instruction *Neg) { Constant *Cst; if (Neg->getType()->isFloatingPoint()) Cst = ConstantFP::get(Neg->getType(), -1); else Cst = ConstantInt::getAllOnesValue(Neg->getType()); std::string NegName = Neg->getName(); Neg->setName(""); Instruction *Res = BinaryOperator::createMul(Neg->getOperand(1), Cst, NegName, Neg); Neg->replaceAllUsesWith(Res); Neg->eraseFromParent(); return Res; } // Given an expression of the form '(A+B)+(D+C)', turn it into '(((A+B)+C)+D)'. // Note that if D is also part of the expression tree that we recurse to // linearize it as well. Besides that case, this does not recurse into A,B, or // C. void Reassociate::LinearizeExpr(BinaryOperator *I) { BinaryOperator *LHS = cast(I->getOperand(0)); BinaryOperator *RHS = cast(I->getOperand(1)); assert(isReassociableOp(LHS, I->getOpcode()) && isReassociableOp(RHS, I->getOpcode()) && "Not an expression that needs linearization?"); DEBUG(std::cerr << "Linear" << *LHS << *RHS << *I); // Move the RHS instruction to live immediately before I, avoiding breaking // dominator properties. RHS->moveBefore(I); // Move operands around to do the linearization. I->setOperand(1, RHS->getOperand(0)); RHS->setOperand(0, LHS); I->setOperand(0, RHS); ++NumLinear; MadeChange = true; DEBUG(std::cerr << "Linearized: " << *I); // If D is part of this expression tree, tail recurse. if (isReassociableOp(I->getOperand(1), I->getOpcode())) LinearizeExpr(I); } /// LinearizeExprTree - Given an associative binary expression tree, traverse /// all of the uses putting it into canonical form. This forces a left-linear /// form of the the expression (((a+b)+c)+d), and collects information about the /// rank of the non-tree operands. /// void Reassociate::LinearizeExprTree(BinaryOperator *I, std::vector &Ops) { Value *LHS = I->getOperand(0), *RHS = I->getOperand(1); unsigned Opcode = I->getOpcode(); // First step, linearize the expression if it is in ((A+B)+(C+D)) form. BinaryOperator *LHSBO = isReassociableOp(LHS, Opcode); BinaryOperator *RHSBO = isReassociableOp(RHS, Opcode); // If this is a multiply expression tree and it contains internal negations, // transform them into multiplies by -1 so they can be reassociated. if (I->getOpcode() == Instruction::Mul) { if (!LHSBO && LHS->hasOneUse() && BinaryOperator::isNeg(LHS)) { LHS = LowerNegateToMultiply(cast(LHS)); LHSBO = isReassociableOp(LHS, Opcode); } if (!RHSBO && RHS->hasOneUse() && BinaryOperator::isNeg(RHS)) { RHS = LowerNegateToMultiply(cast(RHS)); RHSBO = isReassociableOp(RHS, Opcode); } } if (!LHSBO) { if (!RHSBO) { // Neither the LHS or RHS as part of the tree, thus this is a leaf. As // such, just remember these operands and their rank. Ops.push_back(ValueEntry(getRank(LHS), LHS)); Ops.push_back(ValueEntry(getRank(RHS), RHS)); return; } else { // Turn X+(Y+Z) -> (Y+Z)+X std::swap(LHSBO, RHSBO); std::swap(LHS, RHS); bool Success = !I->swapOperands(); assert(Success && "swapOperands failed"); MadeChange = true; } } else if (RHSBO) { // Turn (A+B)+(C+D) -> (((A+B)+C)+D). This guarantees the the RHS is not // part of the expression tree. LinearizeExpr(I); LHS = LHSBO = cast(I->getOperand(0)); RHS = I->getOperand(1); RHSBO = 0; } // Okay, now we know that the LHS is a nested expression and that the RHS is // not. Perform reassociation. assert(!isReassociableOp(RHS, Opcode) && "LinearizeExpr failed!"); // Move LHS right before I to make sure that the tree expression dominates all // values. LHSBO->moveBefore(I); // Linearize the expression tree on the LHS. LinearizeExprTree(LHSBO, Ops); // Remember the RHS operand and its rank. Ops.push_back(ValueEntry(getRank(RHS), RHS)); } // RewriteExprTree - Now that the operands for this expression tree are // linearized and optimized, emit them in-order. This function is written to be // tail recursive. void Reassociate::RewriteExprTree(BinaryOperator *I, unsigned i, std::vector &Ops) { if (i+2 == Ops.size()) { if (I->getOperand(0) != Ops[i].Op || I->getOperand(1) != Ops[i+1].Op) { Value *OldLHS = I->getOperand(0); DEBUG(std::cerr << "RA: " << *I); I->setOperand(0, Ops[i].Op); I->setOperand(1, Ops[i+1].Op); DEBUG(std::cerr << "TO: " << *I); MadeChange = true; ++NumChanged; // If we reassociated a tree to fewer operands (e.g. (1+a+2) -> (a+3) // delete the extra, now dead, nodes. RemoveDeadBinaryOp(OldLHS); } return; } assert(i+2 < Ops.size() && "Ops index out of range!"); if (I->getOperand(1) != Ops[i].Op) { DEBUG(std::cerr << "RA: " << *I); I->setOperand(1, Ops[i].Op); DEBUG(std::cerr << "TO: " << *I); MadeChange = true; ++NumChanged; } BinaryOperator *LHS = cast(I->getOperand(0)); assert(LHS->getOpcode() == I->getOpcode() && "Improper expression tree!"); // Compactify the tree instructions together with each other to guarantee // that the expression tree is dominated by all of Ops. LHS->moveBefore(I); RewriteExprTree(LHS, i+1, Ops); } // NegateValue - Insert instructions before the instruction pointed to by BI, // that computes the negative version of the value specified. The negative // version of the value is returned, and BI is left pointing at the instruction // that should be processed next by the reassociation pass. // static Value *NegateValue(Value *V, Instruction *BI) { // We are trying to expose opportunity for reassociation. One of the things // that we want to do to achieve this is to push a negation as deep into an // expression chain as possible, to expose the add instructions. In practice, // this means that we turn this: // X = -(A+12+C+D) into X = -A + -12 + -C + -D = -12 + -A + -C + -D // so that later, a: Y = 12+X could get reassociated with the -12 to eliminate // the constants. We assume that instcombine will clean up the mess later if // we introduce tons of unnecessary negation instructions... // if (Instruction *I = dyn_cast(V)) if (I->getOpcode() == Instruction::Add && I->hasOneUse()) { // Push the negates through the add. I->setOperand(0, NegateValue(I->getOperand(0), BI)); I->setOperand(1, NegateValue(I->getOperand(1), BI)); // We must move the add instruction here, because the neg instructions do // not dominate the old add instruction in general. By moving it, we are // assured that the neg instructions we just inserted dominate the // instruction we are about to insert after them. // I->moveBefore(BI); I->setName(I->getName()+".neg"); return I; } // Insert a 'neg' instruction that subtracts the value from zero to get the // negation. // return BinaryOperator::createNeg(V, V->getName() + ".neg", BI); } /// BreakUpSubtract - If we have (X-Y), and if either X is an add, or if this is /// only used by an add, transform this into (X+(0-Y)) to promote better /// reassociation. static Instruction *BreakUpSubtract(Instruction *Sub) { // Don't bother to break this up unless either the LHS is an associable add or // if this is only used by one. if (!isReassociableOp(Sub->getOperand(0), Instruction::Add) && !isReassociableOp(Sub->getOperand(1), Instruction::Add) && !(Sub->hasOneUse() &&isReassociableOp(Sub->use_back(), Instruction::Add))) return 0; // Convert a subtract into an add and a neg instruction... so that sub // instructions can be commuted with other add instructions... // // Calculate the negative value of Operand 1 of the sub instruction... // and set it as the RHS of the add instruction we just made... // std::string Name = Sub->getName(); Sub->setName(""); Value *NegVal = NegateValue(Sub->getOperand(1), Sub); Instruction *New = BinaryOperator::createAdd(Sub->getOperand(0), NegVal, Name, Sub); // Everyone now refers to the add instruction. Sub->replaceAllUsesWith(New); Sub->eraseFromParent(); DEBUG(std::cerr << "Negated: " << *New); return New; } /// ConvertShiftToMul - If this is a shift of a reassociable multiply or is used /// by one, change this into a multiply by a constant to assist with further /// reassociation. static Instruction *ConvertShiftToMul(Instruction *Shl) { // If an operand of this shift is a reassociable multiply, or if the shift // is used by a reassociable multiply or add, turn into a multiply. if (isReassociableOp(Shl->getOperand(0), Instruction::Mul) || (Shl->hasOneUse() && (isReassociableOp(Shl->use_back(), Instruction::Mul) || isReassociableOp(Shl->use_back(), Instruction::Add)))) { Constant *MulCst = ConstantInt::get(Shl->getType(), 1); MulCst = ConstantExpr::getShl(MulCst, cast(Shl->getOperand(1))); std::string Name = Shl->getName(); Shl->setName(""); Instruction *Mul = BinaryOperator::createMul(Shl->getOperand(0), MulCst, Name, Shl); Shl->replaceAllUsesWith(Mul); Shl->eraseFromParent(); return Mul; } return 0; } // Scan backwards and forwards among values with the same rank as element i to // see if X exists. If X does not exist, return i. static unsigned FindInOperandList(std::vector &Ops, unsigned i, Value *X) { unsigned XRank = Ops[i].Rank; unsigned e = Ops.size(); for (unsigned j = i+1; j != e && Ops[j].Rank == XRank; ++j) if (Ops[j].Op == X) return j; // Scan backwards for (unsigned j = i-1; j != ~0U && Ops[j].Rank == XRank; --j) if (Ops[j].Op == X) return j; return i; } /// EmitAddTreeOfValues - Emit a tree of add instructions, summing Ops together /// and returning the result. Insert the tree before I. static Value *EmitAddTreeOfValues(Instruction *I, std::vector &Ops) { if (Ops.size() == 1) return Ops.back(); Value *V1 = Ops.back(); Ops.pop_back(); Value *V2 = EmitAddTreeOfValues(I, Ops); return BinaryOperator::createAdd(V2, V1, "tmp", I); } /// RemoveFactorFromExpression - If V is an expression tree that is a /// multiplication sequence, and if this sequence contains a multiply by Factor, /// remove Factor from the tree and return the new tree. Value *Reassociate::RemoveFactorFromExpression(Value *V, Value *Factor) { BinaryOperator *BO = isReassociableOp(V, Instruction::Mul); if (!BO) return 0; std::vector Factors; LinearizeExprTree(BO, Factors); bool FoundFactor = false; for (unsigned i = 0, e = Factors.size(); i != e; ++i) if (Factors[i].Op == Factor) { FoundFactor = true; Factors.erase(Factors.begin()+i); break; } if (!FoundFactor) return 0; if (Factors.size() == 1) return Factors[0].Op; RewriteExprTree(BO, 0, Factors); return BO; } Value *Reassociate::OptimizeExpression(BinaryOperator *I, std::vector &Ops) { // Now that we have the linearized expression tree, try to optimize it. // Start by folding any constants that we found. bool IterateOptimization = false; if (Ops.size() == 1) return Ops[0].Op; unsigned Opcode = I->getOpcode(); if (Constant *V1 = dyn_cast(Ops[Ops.size()-2].Op)) if (Constant *V2 = dyn_cast(Ops.back().Op)) { Ops.pop_back(); Ops.back().Op = ConstantExpr::get(Opcode, V1, V2); return OptimizeExpression(I, Ops); } // Check for destructive annihilation due to a constant being used. if (ConstantIntegral *CstVal = dyn_cast(Ops.back().Op)) switch (Opcode) { default: break; case Instruction::And: if (CstVal->isNullValue()) { // ... & 0 -> 0 ++NumAnnihil; return CstVal; } else if (CstVal->isAllOnesValue()) { // ... & -1 -> ... Ops.pop_back(); } break; case Instruction::Mul: if (CstVal->isNullValue()) { // ... * 0 -> 0 ++NumAnnihil; return CstVal; } else if (cast(CstVal)->getRawValue() == 1) { Ops.pop_back(); // ... * 1 -> ... } break; case Instruction::Or: if (CstVal->isAllOnesValue()) { // ... | -1 -> -1 ++NumAnnihil; return CstVal; } // FALLTHROUGH! case Instruction::Add: case Instruction::Xor: if (CstVal->isNullValue()) // ... [|^+] 0 -> ... Ops.pop_back(); break; } if (Ops.size() == 1) return Ops[0].Op; // Handle destructive annihilation do to identities between elements in the // argument list here. switch (Opcode) { default: break; case Instruction::And: case Instruction::Or: case Instruction::Xor: // Scan the operand lists looking for X and ~X pairs, along with X,X pairs. // If we find any, we can simplify the expression. X&~X == 0, X|~X == -1. for (unsigned i = 0, e = Ops.size(); i != e; ++i) { // First, check for X and ~X in the operand list. assert(i < Ops.size()); if (BinaryOperator::isNot(Ops[i].Op)) { // Cannot occur for ^. Value *X = BinaryOperator::getNotArgument(Ops[i].Op); unsigned FoundX = FindInOperandList(Ops, i, X); if (FoundX != i) { if (Opcode == Instruction::And) { // ...&X&~X = 0 ++NumAnnihil; return Constant::getNullValue(X->getType()); } else if (Opcode == Instruction::Or) { // ...|X|~X = -1 ++NumAnnihil; return ConstantIntegral::getAllOnesValue(X->getType()); } } } // Next, check for duplicate pairs of values, which we assume are next to // each other, due to our sorting criteria. assert(i < Ops.size()); if (i+1 != Ops.size() && Ops[i+1].Op == Ops[i].Op) { if (Opcode == Instruction::And || Opcode == Instruction::Or) { // Drop duplicate values. Ops.erase(Ops.begin()+i); --i; --e; IterateOptimization = true; ++NumAnnihil; } else { assert(Opcode == Instruction::Xor); if (e == 2) { ++NumAnnihil; return Constant::getNullValue(Ops[0].Op->getType()); } // ... X^X -> ... Ops.erase(Ops.begin()+i, Ops.begin()+i+2); i -= 1; e -= 2; IterateOptimization = true; ++NumAnnihil; } } } break; case Instruction::Add: // Scan the operand lists looking for X and -X pairs. If we find any, we // can simplify the expression. X+-X == 0. for (unsigned i = 0, e = Ops.size(); i != e; ++i) { assert(i < Ops.size()); // Check for X and -X in the operand list. if (BinaryOperator::isNeg(Ops[i].Op)) { Value *X = BinaryOperator::getNegArgument(Ops[i].Op); unsigned FoundX = FindInOperandList(Ops, i, X); if (FoundX != i) { // Remove X and -X from the operand list. if (Ops.size() == 2) { ++NumAnnihil; return Constant::getNullValue(X->getType()); } else { Ops.erase(Ops.begin()+i); if (i < FoundX) --FoundX; else --i; // Need to back up an extra one. Ops.erase(Ops.begin()+FoundX); IterateOptimization = true; ++NumAnnihil; --i; // Revisit element. e -= 2; // Removed two elements. } } } } // Scan the operand list, checking to see if there are any common factors // between operands. Consider something like A*A+A*B*C+D. We would like to // reassociate this to A*(A+B*C)+D, which reduces the number of multiplies. // To efficiently find this, we count the number of times a factor occurs // for any ADD operands that are MULs. std::map FactorOccurrences; unsigned MaxOcc = 0; Value *MaxOccVal = 0; if (!I->getType()->isFloatingPoint()) { for (unsigned i = 0, e = Ops.size(); i != e; ++i) { if (BinaryOperator *BOp = dyn_cast(Ops[i].Op)) if (BOp->getOpcode() == Instruction::Mul && BOp->hasOneUse()) { // Compute all of the factors of this added value. std::vector Factors; LinearizeExprTree(BOp, Factors); assert(Factors.size() > 1 && "Bad linearize!"); // Add one to FactorOccurrences for each unique factor in this op. if (Factors.size() == 2) { unsigned Occ = ++FactorOccurrences[Factors[0].Op]; if (Occ > MaxOcc) { MaxOcc = Occ; MaxOccVal = Factors[0].Op; } if (Factors[0].Op != Factors[1].Op) { // Don't double count A*A. Occ = ++FactorOccurrences[Factors[1].Op]; if (Occ > MaxOcc) { MaxOcc = Occ; MaxOccVal = Factors[1].Op; } } } else { std::set Duplicates; for (unsigned i = 0, e = Factors.size(); i != e; ++i) if (Duplicates.insert(Factors[i].Op).second) { unsigned Occ = ++FactorOccurrences[Factors[i].Op]; if (Occ > MaxOcc) { MaxOcc = Occ; MaxOccVal = Factors[i].Op; } } } } } } // If any factor occurred more than one time, we can pull it out. if (MaxOcc > 1) { DEBUG(std::cerr << "\nFACTORING [" << MaxOcc << "]: " << *MaxOccVal << "\n"); // Create a new instruction that uses the MaxOccVal twice. If we don't do // this, we could otherwise run into situations where removing a factor // from an expression will drop a use of maxocc, and this can cause // RemoveFactorFromExpression on successive values to behave differently. Instruction *DummyInst = BinaryOperator::createAdd(MaxOccVal, MaxOccVal); std::vector NewMulOps; for (unsigned i = 0, e = Ops.size(); i != e; ++i) { if (Value *V = RemoveFactorFromExpression(Ops[i].Op, MaxOccVal)) { NewMulOps.push_back(V); Ops.erase(Ops.begin()+i); --i; --e; } } // No need for extra uses anymore. delete DummyInst; Value *V = EmitAddTreeOfValues(I, NewMulOps); // FIXME: Must optimize V now, to handle this case: // A*A*B + A*A*C -> A*(A*B+A*C) -> A*(A*(B+C)) V = BinaryOperator::createMul(V, MaxOccVal, "tmp", I); ++NumFactor; if (Ops.size() == 0) return V; // Add the new value to the list of things being added. Ops.insert(Ops.begin(), ValueEntry(getRank(V), V)); // Rewrite the tree so that there is now a use of V. RewriteExprTree(I, 0, Ops); return OptimizeExpression(I, Ops); } break; //case Instruction::Mul: } if (IterateOptimization) return OptimizeExpression(I, Ops); return 0; } /// ReassociateBB - Inspect all of the instructions in this basic block, /// reassociating them as we go. void Reassociate::ReassociateBB(BasicBlock *BB) { for (BasicBlock::iterator BBI = BB->begin(); BBI != BB->end(); ) { Instruction *BI = BBI++; if (BI->getOpcode() == Instruction::Shl && isa(BI->getOperand(1))) if (Instruction *NI = ConvertShiftToMul(BI)) { MadeChange = true; BI = NI; } // Reject cases where it is pointless to do this. if (!isa(BI) || BI->getType()->isFloatingPoint()) continue; // Floating point ops are not associative. // If this is a subtract instruction which is not already in negate form, // see if we can convert it to X+-Y. if (BI->getOpcode() == Instruction::Sub) { if (!BinaryOperator::isNeg(BI)) { if (Instruction *NI = BreakUpSubtract(BI)) { MadeChange = true; BI = NI; } } else { // Otherwise, this is a negation. See if the operand is a multiply tree // and if this is not an inner node of a multiply tree. if (isReassociableOp(BI->getOperand(1), Instruction::Mul) && (!BI->hasOneUse() || !isReassociableOp(BI->use_back(), Instruction::Mul))) { BI = LowerNegateToMultiply(BI); MadeChange = true; } } } // If this instruction is a commutative binary operator, process it. if (!BI->isAssociative()) continue; BinaryOperator *I = cast(BI); // If this is an interior node of a reassociable tree, ignore it until we // get to the root of the tree, to avoid N^2 analysis. if (I->hasOneUse() && isReassociableOp(I->use_back(), I->getOpcode())) continue; // If this is an add tree that is used by a sub instruction, ignore it // until we process the subtract. if (I->hasOneUse() && I->getOpcode() == Instruction::Add && cast(I->use_back())->getOpcode() == Instruction::Sub) continue; // First, walk the expression tree, linearizing the tree, collecting std::vector Ops; LinearizeExprTree(I, Ops); DEBUG(std::cerr << "RAIn:\t"; PrintOps(I, Ops); std::cerr << "\n"); // Now that we have linearized the tree to a list and have gathered all of // the operands and their ranks, sort the operands by their rank. Use a // stable_sort so that values with equal ranks will have their relative // positions maintained (and so the compiler is deterministic). Note that // this sorts so that the highest ranking values end up at the beginning of // the vector. std::stable_sort(Ops.begin(), Ops.end()); // OptimizeExpression - Now that we have the expression tree in a convenient // sorted form, optimize it globally if possible. if (Value *V = OptimizeExpression(I, Ops)) { // This expression tree simplified to something that isn't a tree, // eliminate it. DEBUG(std::cerr << "Reassoc to scalar: " << *V << "\n"); I->replaceAllUsesWith(V); RemoveDeadBinaryOp(I); continue; } // We want to sink immediates as deeply as possible except in the case where // this is a multiply tree used only by an add, and the immediate is a -1. // In this case we reassociate to put the negation on the outside so that we // can fold the negation into the add: (-X)*Y + Z -> Z-X*Y if (I->getOpcode() == Instruction::Mul && I->hasOneUse() && cast(I->use_back())->getOpcode() == Instruction::Add && isa(Ops.back().Op) && cast(Ops.back().Op)->isAllOnesValue()) { Ops.insert(Ops.begin(), Ops.back()); Ops.pop_back(); } DEBUG(std::cerr << "RAOut:\t"; PrintOps(I, Ops); std::cerr << "\n"); if (Ops.size() == 1) { // This expression tree simplified to something that isn't a tree, // eliminate it. I->replaceAllUsesWith(Ops[0].Op); RemoveDeadBinaryOp(I); } else { // Now that we ordered and optimized the expressions, splat them back into // the expression tree, removing any unneeded nodes. RewriteExprTree(I, 0, Ops); } } } bool Reassociate::runOnFunction(Function &F) { // Recalculate the rank map for F BuildRankMap(F); MadeChange = false; for (Function::iterator FI = F.begin(), FE = F.end(); FI != FE; ++FI) ReassociateBB(FI); // We are done with the rank map... RankMap.clear(); ValueRankMap.clear(); return MadeChange; }