1 //===- LoopStrengthReduce.cpp - Strength Reduce IVs in Loops --------------===// 2 // 3 // The LLVM Compiler Infrastructure 4 // 5 // This file is distributed under the University of Illinois Open Source 6 // License. See LICENSE.TXT for details. 7 // 8 //===----------------------------------------------------------------------===// 9 // 10 // This transformation analyzes and transforms the induction variables (and 11 // computations derived from them) into forms suitable for efficient execution 12 // on the target. 13 // 14 // This pass performs a strength reduction on array references inside loops that 15 // have as one or more of their components the loop induction variable, it 16 // rewrites expressions to take advantage of scaled-index addressing modes 17 // available on the target, and it performs a variety of other optimizations 18 // related to loop induction variables. 19 // 20 // Terminology note: this code has a lot of handling for "post-increment" or 21 // "post-inc" users. This is not talking about post-increment addressing modes; 22 // it is instead talking about code like this: 23 // 24 // %i = phi [ 0, %entry ], [ %i.next, %latch ] 25 // ... 26 // %i.next = add %i, 1 27 // %c = icmp eq %i.next, %n 28 // 29 // The SCEV for %i is {0,+,1}<%L>. The SCEV for %i.next is {1,+,1}<%L>, however 30 // it's useful to think about these as the same register, with some uses using 31 // the value of the register before the add and some using // it after. In this 32 // example, the icmp is a post-increment user, since it uses %i.next, which is 33 // the value of the induction variable after the increment. The other common 34 // case of post-increment users is users outside the loop. 35 // 36 // TODO: More sophistication in the way Formulae are generated and filtered. 37 // 38 // TODO: Handle multiple loops at a time. 39 // 40 // TODO: Should TargetLowering::AddrMode::BaseGV be changed to a ConstantExpr 41 // instead of a GlobalValue? 42 // 43 // TODO: When truncation is free, truncate ICmp users' operands to make it a 44 // smaller encoding (on x86 at least). 45 // 46 // TODO: When a negated register is used by an add (such as in a list of 47 // multiple base registers, or as the increment expression in an addrec), 48 // we may not actually need both reg and (-1 * reg) in registers; the 49 // negation can be implemented by using a sub instead of an add. The 50 // lack of support for taking this into consideration when making 51 // register pressure decisions is partly worked around by the "Special" 52 // use kind. 53 // 54 //===----------------------------------------------------------------------===// 55 56 #define DEBUG_TYPE "loop-reduce" 57 #include "llvm/Transforms/Scalar.h" 58 #include "llvm/Constants.h" 59 #include "llvm/Instructions.h" 60 #include "llvm/IntrinsicInst.h" 61 #include "llvm/DerivedTypes.h" 62 #include "llvm/Analysis/IVUsers.h" 63 #include "llvm/Analysis/Dominators.h" 64 #include "llvm/Analysis/LoopPass.h" 65 #include "llvm/Analysis/ScalarEvolutionExpander.h" 66 #include "llvm/Transforms/Utils/BasicBlockUtils.h" 67 #include "llvm/Transforms/Utils/Local.h" 68 #include "llvm/ADT/SmallBitVector.h" 69 #include "llvm/ADT/SetVector.h" 70 #include "llvm/ADT/DenseSet.h" 71 #include "llvm/Support/Debug.h" 72 #include "llvm/Support/ValueHandle.h" 73 #include "llvm/Support/raw_ostream.h" 74 #include "llvm/Target/TargetLowering.h" 75 #include <algorithm> 76 using namespace llvm; 77 78 namespace { 79 80 /// RegSortData - This class holds data which is used to order reuse candidates. 81 class RegSortData { 82 public: 83 /// UsedByIndices - This represents the set of LSRUse indices which reference 84 /// a particular register. 85 SmallBitVector UsedByIndices; 86 87 RegSortData() {} 88 89 void print(raw_ostream &OS) const; 90 void dump() const; 91 }; 92 93 } 94 95 void RegSortData::print(raw_ostream &OS) const { 96 OS << "[NumUses=" << UsedByIndices.count() << ']'; 97 } 98 99 void RegSortData::dump() const { 100 print(errs()); errs() << '\n'; 101 } 102 103 namespace { 104 105 /// RegUseTracker - Map register candidates to information about how they are 106 /// used. 107 class RegUseTracker { 108 typedef DenseMap<const SCEV *, RegSortData> RegUsesTy; 109 110 RegUsesTy RegUses; 111 SmallVector<const SCEV *, 16> RegSequence; 112 113 public: 114 void CountRegister(const SCEV *Reg, size_t LUIdx); 115 116 bool isRegUsedByUsesOtherThan(const SCEV *Reg, size_t LUIdx) const; 117 118 const SmallBitVector &getUsedByIndices(const SCEV *Reg) const; 119 120 void clear(); 121 122 typedef SmallVectorImpl<const SCEV *>::iterator iterator; 123 typedef SmallVectorImpl<const SCEV *>::const_iterator const_iterator; 124 iterator begin() { return RegSequence.begin(); } 125 iterator end() { return RegSequence.end(); } 126 const_iterator begin() const { return RegSequence.begin(); } 127 const_iterator end() const { return RegSequence.end(); } 128 }; 129 130 } 131 132 void 133 RegUseTracker::CountRegister(const SCEV *Reg, size_t LUIdx) { 134 std::pair<RegUsesTy::iterator, bool> Pair = 135 RegUses.insert(std::make_pair(Reg, RegSortData())); 136 RegSortData &RSD = Pair.first->second; 137 if (Pair.second) 138 RegSequence.push_back(Reg); 139 RSD.UsedByIndices.resize(std::max(RSD.UsedByIndices.size(), LUIdx + 1)); 140 RSD.UsedByIndices.set(LUIdx); 141 } 142 143 bool 144 RegUseTracker::isRegUsedByUsesOtherThan(const SCEV *Reg, size_t LUIdx) const { 145 if (!RegUses.count(Reg)) return false; 146 const SmallBitVector &UsedByIndices = 147 RegUses.find(Reg)->second.UsedByIndices; 148 int i = UsedByIndices.find_first(); 149 if (i == -1) return false; 150 if ((size_t)i != LUIdx) return true; 151 return UsedByIndices.find_next(i) != -1; 152 } 153 154 const SmallBitVector &RegUseTracker::getUsedByIndices(const SCEV *Reg) const { 155 RegUsesTy::const_iterator I = RegUses.find(Reg); 156 assert(I != RegUses.end() && "Unknown register!"); 157 return I->second.UsedByIndices; 158 } 159 160 void RegUseTracker::clear() { 161 RegUses.clear(); 162 RegSequence.clear(); 163 } 164 165 namespace { 166 167 /// Formula - This class holds information that describes a formula for 168 /// computing satisfying a use. It may include broken-out immediates and scaled 169 /// registers. 170 struct Formula { 171 /// AM - This is used to represent complex addressing, as well as other kinds 172 /// of interesting uses. 173 TargetLowering::AddrMode AM; 174 175 /// BaseRegs - The list of "base" registers for this use. When this is 176 /// non-empty, AM.HasBaseReg should be set to true. 177 SmallVector<const SCEV *, 2> BaseRegs; 178 179 /// ScaledReg - The 'scaled' register for this use. This should be non-null 180 /// when AM.Scale is not zero. 181 const SCEV *ScaledReg; 182 183 Formula() : ScaledReg(0) {} 184 185 void InitialMatch(const SCEV *S, Loop *L, 186 ScalarEvolution &SE, DominatorTree &DT); 187 188 unsigned getNumRegs() const; 189 const Type *getType() const; 190 191 bool referencesReg(const SCEV *S) const; 192 bool hasRegsUsedByUsesOtherThan(size_t LUIdx, 193 const RegUseTracker &RegUses) const; 194 195 void print(raw_ostream &OS) const; 196 void dump() const; 197 }; 198 199 } 200 201 /// DoInitialMatch - Recursion helper for InitialMatch. 202 static void DoInitialMatch(const SCEV *S, Loop *L, 203 SmallVectorImpl<const SCEV *> &Good, 204 SmallVectorImpl<const SCEV *> &Bad, 205 ScalarEvolution &SE, DominatorTree &DT) { 206 // Collect expressions which properly dominate the loop header. 207 if (S->properlyDominates(L->getHeader(), &DT)) { 208 Good.push_back(S); 209 return; 210 } 211 212 // Look at add operands. 213 if (const SCEVAddExpr *Add = dyn_cast<SCEVAddExpr>(S)) { 214 for (SCEVAddExpr::op_iterator I = Add->op_begin(), E = Add->op_end(); 215 I != E; ++I) 216 DoInitialMatch(*I, L, Good, Bad, SE, DT); 217 return; 218 } 219 220 // Look at addrec operands. 221 if (const SCEVAddRecExpr *AR = dyn_cast<SCEVAddRecExpr>(S)) 222 if (!AR->getStart()->isZero()) { 223 DoInitialMatch(AR->getStart(), L, Good, Bad, SE, DT); 224 DoInitialMatch(SE.getAddRecExpr(SE.getConstant(AR->getType(), 0), 225 AR->getStepRecurrence(SE), 226 AR->getLoop()), 227 L, Good, Bad, SE, DT); 228 return; 229 } 230 231 // Handle a multiplication by -1 (negation) if it didn't fold. 232 if (const SCEVMulExpr *Mul = dyn_cast<SCEVMulExpr>(S)) 233 if (Mul->getOperand(0)->isAllOnesValue()) { 234 SmallVector<const SCEV *, 4> Ops(Mul->op_begin()+1, Mul->op_end()); 235 const SCEV *NewMul = SE.getMulExpr(Ops); 236 237 SmallVector<const SCEV *, 4> MyGood; 238 SmallVector<const SCEV *, 4> MyBad; 239 DoInitialMatch(NewMul, L, MyGood, MyBad, SE, DT); 240 const SCEV *NegOne = SE.getSCEV(ConstantInt::getAllOnesValue( 241 SE.getEffectiveSCEVType(NewMul->getType()))); 242 for (SmallVectorImpl<const SCEV *>::const_iterator I = MyGood.begin(), 243 E = MyGood.end(); I != E; ++I) 244 Good.push_back(SE.getMulExpr(NegOne, *I)); 245 for (SmallVectorImpl<const SCEV *>::const_iterator I = MyBad.begin(), 246 E = MyBad.end(); I != E; ++I) 247 Bad.push_back(SE.getMulExpr(NegOne, *I)); 248 return; 249 } 250 251 // Ok, we can't do anything interesting. Just stuff the whole thing into a 252 // register and hope for the best. 253 Bad.push_back(S); 254 } 255 256 /// InitialMatch - Incorporate loop-variant parts of S into this Formula, 257 /// attempting to keep all loop-invariant and loop-computable values in a 258 /// single base register. 259 void Formula::InitialMatch(const SCEV *S, Loop *L, 260 ScalarEvolution &SE, DominatorTree &DT) { 261 SmallVector<const SCEV *, 4> Good; 262 SmallVector<const SCEV *, 4> Bad; 263 DoInitialMatch(S, L, Good, Bad, SE, DT); 264 if (!Good.empty()) { 265 const SCEV *Sum = SE.getAddExpr(Good); 266 if (!Sum->isZero()) 267 BaseRegs.push_back(Sum); 268 AM.HasBaseReg = true; 269 } 270 if (!Bad.empty()) { 271 const SCEV *Sum = SE.getAddExpr(Bad); 272 if (!Sum->isZero()) 273 BaseRegs.push_back(Sum); 274 AM.HasBaseReg = true; 275 } 276 } 277 278 /// getNumRegs - Return the total number of register operands used by this 279 /// formula. This does not include register uses implied by non-constant 280 /// addrec strides. 281 unsigned Formula::getNumRegs() const { 282 return !!ScaledReg + BaseRegs.size(); 283 } 284 285 /// getType - Return the type of this formula, if it has one, or null 286 /// otherwise. This type is meaningless except for the bit size. 287 const Type *Formula::getType() const { 288 return !BaseRegs.empty() ? BaseRegs.front()->getType() : 289 ScaledReg ? ScaledReg->getType() : 290 AM.BaseGV ? AM.BaseGV->getType() : 291 0; 292 } 293 294 /// referencesReg - Test if this formula references the given register. 295 bool Formula::referencesReg(const SCEV *S) const { 296 return S == ScaledReg || 297 std::find(BaseRegs.begin(), BaseRegs.end(), S) != BaseRegs.end(); 298 } 299 300 /// hasRegsUsedByUsesOtherThan - Test whether this formula uses registers 301 /// which are used by uses other than the use with the given index. 302 bool Formula::hasRegsUsedByUsesOtherThan(size_t LUIdx, 303 const RegUseTracker &RegUses) const { 304 if (ScaledReg) 305 if (RegUses.isRegUsedByUsesOtherThan(ScaledReg, LUIdx)) 306 return true; 307 for (SmallVectorImpl<const SCEV *>::const_iterator I = BaseRegs.begin(), 308 E = BaseRegs.end(); I != E; ++I) 309 if (RegUses.isRegUsedByUsesOtherThan(*I, LUIdx)) 310 return true; 311 return false; 312 } 313 314 void Formula::print(raw_ostream &OS) const { 315 bool First = true; 316 if (AM.BaseGV) { 317 if (!First) OS << " + "; else First = false; 318 WriteAsOperand(OS, AM.BaseGV, /*PrintType=*/false); 319 } 320 if (AM.BaseOffs != 0) { 321 if (!First) OS << " + "; else First = false; 322 OS << AM.BaseOffs; 323 } 324 for (SmallVectorImpl<const SCEV *>::const_iterator I = BaseRegs.begin(), 325 E = BaseRegs.end(); I != E; ++I) { 326 if (!First) OS << " + "; else First = false; 327 OS << "reg(" << **I << ')'; 328 } 329 if (AM.Scale != 0) { 330 if (!First) OS << " + "; else First = false; 331 OS << AM.Scale << "*reg("; 332 if (ScaledReg) 333 OS << *ScaledReg; 334 else 335 OS << "<unknown>"; 336 OS << ')'; 337 } 338 } 339 340 void Formula::dump() const { 341 print(errs()); errs() << '\n'; 342 } 343 344 /// isAddRecSExtable - Return true if the given addrec can be sign-extended 345 /// without changing its value. 346 static bool isAddRecSExtable(const SCEVAddRecExpr *AR, ScalarEvolution &SE) { 347 const Type *WideTy = 348 IntegerType::get(SE.getContext(), 349 SE.getTypeSizeInBits(AR->getType()) + 1); 350 return isa<SCEVAddRecExpr>(SE.getSignExtendExpr(AR, WideTy)); 351 } 352 353 /// isAddSExtable - Return true if the given add can be sign-extended 354 /// without changing its value. 355 static bool isAddSExtable(const SCEVAddExpr *A, ScalarEvolution &SE) { 356 const Type *WideTy = 357 IntegerType::get(SE.getContext(), 358 SE.getTypeSizeInBits(A->getType()) + 1); 359 return isa<SCEVAddExpr>(SE.getSignExtendExpr(A, WideTy)); 360 } 361 362 /// isMulSExtable - Return true if the given add can be sign-extended 363 /// without changing its value. 364 static bool isMulSExtable(const SCEVMulExpr *A, ScalarEvolution &SE) { 365 const Type *WideTy = 366 IntegerType::get(SE.getContext(), 367 SE.getTypeSizeInBits(A->getType()) + 1); 368 return isa<SCEVMulExpr>(SE.getSignExtendExpr(A, WideTy)); 369 } 370 371 /// getExactSDiv - Return an expression for LHS /s RHS, if it can be determined 372 /// and if the remainder is known to be zero, or null otherwise. If 373 /// IgnoreSignificantBits is true, expressions like (X * Y) /s Y are simplified 374 /// to Y, ignoring that the multiplication may overflow, which is useful when 375 /// the result will be used in a context where the most significant bits are 376 /// ignored. 377 static const SCEV *getExactSDiv(const SCEV *LHS, const SCEV *RHS, 378 ScalarEvolution &SE, 379 bool IgnoreSignificantBits = false) { 380 // Handle the trivial case, which works for any SCEV type. 381 if (LHS == RHS) 382 return SE.getConstant(LHS->getType(), 1); 383 384 // Handle x /s -1 as x * -1, to give ScalarEvolution a chance to do some 385 // folding. 386 if (RHS->isAllOnesValue()) 387 return SE.getMulExpr(LHS, RHS); 388 389 // Check for a division of a constant by a constant. 390 if (const SCEVConstant *C = dyn_cast<SCEVConstant>(LHS)) { 391 const SCEVConstant *RC = dyn_cast<SCEVConstant>(RHS); 392 if (!RC) 393 return 0; 394 if (C->getValue()->getValue().srem(RC->getValue()->getValue()) != 0) 395 return 0; 396 return SE.getConstant(C->getValue()->getValue() 397 .sdiv(RC->getValue()->getValue())); 398 } 399 400 // Distribute the sdiv over addrec operands, if the addrec doesn't overflow. 401 if (const SCEVAddRecExpr *AR = dyn_cast<SCEVAddRecExpr>(LHS)) { 402 if (IgnoreSignificantBits || isAddRecSExtable(AR, SE)) { 403 const SCEV *Start = getExactSDiv(AR->getStart(), RHS, SE, 404 IgnoreSignificantBits); 405 if (!Start) return 0; 406 const SCEV *Step = getExactSDiv(AR->getStepRecurrence(SE), RHS, SE, 407 IgnoreSignificantBits); 408 if (!Step) return 0; 409 return SE.getAddRecExpr(Start, Step, AR->getLoop()); 410 } 411 } 412 413 // Distribute the sdiv over add operands, if the add doesn't overflow. 414 if (const SCEVAddExpr *Add = dyn_cast<SCEVAddExpr>(LHS)) { 415 if (IgnoreSignificantBits || isAddSExtable(Add, SE)) { 416 SmallVector<const SCEV *, 8> Ops; 417 for (SCEVAddExpr::op_iterator I = Add->op_begin(), E = Add->op_end(); 418 I != E; ++I) { 419 const SCEV *Op = getExactSDiv(*I, RHS, SE, 420 IgnoreSignificantBits); 421 if (!Op) return 0; 422 Ops.push_back(Op); 423 } 424 return SE.getAddExpr(Ops); 425 } 426 } 427 428 // Check for a multiply operand that we can pull RHS out of. 429 if (const SCEVMulExpr *Mul = dyn_cast<SCEVMulExpr>(LHS)) 430 if (IgnoreSignificantBits || isMulSExtable(Mul, SE)) { 431 SmallVector<const SCEV *, 4> Ops; 432 bool Found = false; 433 for (SCEVMulExpr::op_iterator I = Mul->op_begin(), E = Mul->op_end(); 434 I != E; ++I) { 435 if (!Found) 436 if (const SCEV *Q = getExactSDiv(*I, RHS, SE, 437 IgnoreSignificantBits)) { 438 Ops.push_back(Q); 439 Found = true; 440 continue; 441 } 442 Ops.push_back(*I); 443 } 444 return Found ? SE.getMulExpr(Ops) : 0; 445 } 446 447 // Otherwise we don't know. 448 return 0; 449 } 450 451 /// ExtractImmediate - If S involves the addition of a constant integer value, 452 /// return that integer value, and mutate S to point to a new SCEV with that 453 /// value excluded. 454 static int64_t ExtractImmediate(const SCEV *&S, ScalarEvolution &SE) { 455 if (const SCEVConstant *C = dyn_cast<SCEVConstant>(S)) { 456 if (C->getValue()->getValue().getMinSignedBits() <= 64) { 457 S = SE.getConstant(C->getType(), 0); 458 return C->getValue()->getSExtValue(); 459 } 460 } else if (const SCEVAddExpr *Add = dyn_cast<SCEVAddExpr>(S)) { 461 SmallVector<const SCEV *, 8> NewOps(Add->op_begin(), Add->op_end()); 462 int64_t Result = ExtractImmediate(NewOps.front(), SE); 463 S = SE.getAddExpr(NewOps); 464 return Result; 465 } else if (const SCEVAddRecExpr *AR = dyn_cast<SCEVAddRecExpr>(S)) { 466 SmallVector<const SCEV *, 8> NewOps(AR->op_begin(), AR->op_end()); 467 int64_t Result = ExtractImmediate(NewOps.front(), SE); 468 S = SE.getAddRecExpr(NewOps, AR->getLoop()); 469 return Result; 470 } 471 return 0; 472 } 473 474 /// ExtractSymbol - If S involves the addition of a GlobalValue address, 475 /// return that symbol, and mutate S to point to a new SCEV with that 476 /// value excluded. 477 static GlobalValue *ExtractSymbol(const SCEV *&S, ScalarEvolution &SE) { 478 if (const SCEVUnknown *U = dyn_cast<SCEVUnknown>(S)) { 479 if (GlobalValue *GV = dyn_cast<GlobalValue>(U->getValue())) { 480 S = SE.getConstant(GV->getType(), 0); 481 return GV; 482 } 483 } else if (const SCEVAddExpr *Add = dyn_cast<SCEVAddExpr>(S)) { 484 SmallVector<const SCEV *, 8> NewOps(Add->op_begin(), Add->op_end()); 485 GlobalValue *Result = ExtractSymbol(NewOps.back(), SE); 486 S = SE.getAddExpr(NewOps); 487 return Result; 488 } else if (const SCEVAddRecExpr *AR = dyn_cast<SCEVAddRecExpr>(S)) { 489 SmallVector<const SCEV *, 8> NewOps(AR->op_begin(), AR->op_end()); 490 GlobalValue *Result = ExtractSymbol(NewOps.front(), SE); 491 S = SE.getAddRecExpr(NewOps, AR->getLoop()); 492 return Result; 493 } 494 return 0; 495 } 496 497 /// isAddressUse - Returns true if the specified instruction is using the 498 /// specified value as an address. 499 static bool isAddressUse(Instruction *Inst, Value *OperandVal) { 500 bool isAddress = isa<LoadInst>(Inst); 501 if (StoreInst *SI = dyn_cast<StoreInst>(Inst)) { 502 if (SI->getOperand(1) == OperandVal) 503 isAddress = true; 504 } else if (IntrinsicInst *II = dyn_cast<IntrinsicInst>(Inst)) { 505 // Addressing modes can also be folded into prefetches and a variety 506 // of intrinsics. 507 switch (II->getIntrinsicID()) { 508 default: break; 509 case Intrinsic::prefetch: 510 case Intrinsic::x86_sse2_loadu_dq: 511 case Intrinsic::x86_sse2_loadu_pd: 512 case Intrinsic::x86_sse_loadu_ps: 513 case Intrinsic::x86_sse_storeu_ps: 514 case Intrinsic::x86_sse2_storeu_pd: 515 case Intrinsic::x86_sse2_storeu_dq: 516 case Intrinsic::x86_sse2_storel_dq: 517 if (II->getOperand(1) == OperandVal) 518 isAddress = true; 519 break; 520 } 521 } 522 return isAddress; 523 } 524 525 /// getAccessType - Return the type of the memory being accessed. 526 static const Type *getAccessType(const Instruction *Inst) { 527 const Type *AccessTy = Inst->getType(); 528 if (const StoreInst *SI = dyn_cast<StoreInst>(Inst)) 529 AccessTy = SI->getOperand(0)->getType(); 530 else if (const IntrinsicInst *II = dyn_cast<IntrinsicInst>(Inst)) { 531 // Addressing modes can also be folded into prefetches and a variety 532 // of intrinsics. 533 switch (II->getIntrinsicID()) { 534 default: break; 535 case Intrinsic::x86_sse_storeu_ps: 536 case Intrinsic::x86_sse2_storeu_pd: 537 case Intrinsic::x86_sse2_storeu_dq: 538 case Intrinsic::x86_sse2_storel_dq: 539 AccessTy = II->getOperand(1)->getType(); 540 break; 541 } 542 } 543 544 // All pointers have the same requirements, so canonicalize them to an 545 // arbitrary pointer type to minimize variation. 546 if (const PointerType *PTy = dyn_cast<PointerType>(AccessTy)) 547 AccessTy = PointerType::get(IntegerType::get(PTy->getContext(), 1), 548 PTy->getAddressSpace()); 549 550 return AccessTy; 551 } 552 553 /// DeleteTriviallyDeadInstructions - If any of the instructions is the 554 /// specified set are trivially dead, delete them and see if this makes any of 555 /// their operands subsequently dead. 556 static bool 557 DeleteTriviallyDeadInstructions(SmallVectorImpl<WeakVH> &DeadInsts) { 558 bool Changed = false; 559 560 while (!DeadInsts.empty()) { 561 Instruction *I = dyn_cast_or_null<Instruction>(DeadInsts.pop_back_val()); 562 563 if (I == 0 || !isInstructionTriviallyDead(I)) 564 continue; 565 566 for (User::op_iterator OI = I->op_begin(), E = I->op_end(); OI != E; ++OI) 567 if (Instruction *U = dyn_cast<Instruction>(*OI)) { 568 *OI = 0; 569 if (U->use_empty()) 570 DeadInsts.push_back(U); 571 } 572 573 I->eraseFromParent(); 574 Changed = true; 575 } 576 577 return Changed; 578 } 579 580 namespace { 581 582 /// Cost - This class is used to measure and compare candidate formulae. 583 class Cost { 584 /// TODO: Some of these could be merged. Also, a lexical ordering 585 /// isn't always optimal. 586 unsigned NumRegs; 587 unsigned AddRecCost; 588 unsigned NumIVMuls; 589 unsigned NumBaseAdds; 590 unsigned ImmCost; 591 unsigned SetupCost; 592 593 public: 594 Cost() 595 : NumRegs(0), AddRecCost(0), NumIVMuls(0), NumBaseAdds(0), ImmCost(0), 596 SetupCost(0) {} 597 598 unsigned getNumRegs() const { return NumRegs; } 599 600 bool operator<(const Cost &Other) const; 601 602 void Loose(); 603 604 void RateFormula(const Formula &F, 605 SmallPtrSet<const SCEV *, 16> &Regs, 606 const DenseSet<const SCEV *> &VisitedRegs, 607 const Loop *L, 608 const SmallVectorImpl<int64_t> &Offsets, 609 ScalarEvolution &SE, DominatorTree &DT); 610 611 void print(raw_ostream &OS) const; 612 void dump() const; 613 614 private: 615 void RateRegister(const SCEV *Reg, 616 SmallPtrSet<const SCEV *, 16> &Regs, 617 const Loop *L, 618 ScalarEvolution &SE, DominatorTree &DT); 619 void RatePrimaryRegister(const SCEV *Reg, 620 SmallPtrSet<const SCEV *, 16> &Regs, 621 const Loop *L, 622 ScalarEvolution &SE, DominatorTree &DT); 623 }; 624 625 } 626 627 /// RateRegister - Tally up interesting quantities from the given register. 628 void Cost::RateRegister(const SCEV *Reg, 629 SmallPtrSet<const SCEV *, 16> &Regs, 630 const Loop *L, 631 ScalarEvolution &SE, DominatorTree &DT) { 632 if (const SCEVAddRecExpr *AR = dyn_cast<SCEVAddRecExpr>(Reg)) { 633 if (AR->getLoop() == L) 634 AddRecCost += 1; /// TODO: This should be a function of the stride. 635 636 // If this is an addrec for a loop that's already been visited by LSR, 637 // don't second-guess its addrec phi nodes. LSR isn't currently smart 638 // enough to reason about more than one loop at a time. Consider these 639 // registers free and leave them alone. 640 else if (L->contains(AR->getLoop()) || 641 (!AR->getLoop()->contains(L) && 642 DT.dominates(L->getHeader(), AR->getLoop()->getHeader()))) { 643 for (BasicBlock::iterator I = AR->getLoop()->getHeader()->begin(); 644 PHINode *PN = dyn_cast<PHINode>(I); ++I) 645 if (SE.isSCEVable(PN->getType()) && 646 (SE.getEffectiveSCEVType(PN->getType()) == 647 SE.getEffectiveSCEVType(AR->getType())) && 648 SE.getSCEV(PN) == AR) 649 return; 650 651 // If this isn't one of the addrecs that the loop already has, it 652 // would require a costly new phi and add. TODO: This isn't 653 // precisely modeled right now. 654 ++NumBaseAdds; 655 if (!Regs.count(AR->getStart())) 656 RateRegister(AR->getStart(), Regs, L, SE, DT); 657 } 658 659 // Add the step value register, if it needs one. 660 // TODO: The non-affine case isn't precisely modeled here. 661 if (!AR->isAffine() || !isa<SCEVConstant>(AR->getOperand(1))) 662 if (!Regs.count(AR->getStart())) 663 RateRegister(AR->getOperand(1), Regs, L, SE, DT); 664 } 665 ++NumRegs; 666 667 // Rough heuristic; favor registers which don't require extra setup 668 // instructions in the preheader. 669 if (!isa<SCEVUnknown>(Reg) && 670 !isa<SCEVConstant>(Reg) && 671 !(isa<SCEVAddRecExpr>(Reg) && 672 (isa<SCEVUnknown>(cast<SCEVAddRecExpr>(Reg)->getStart()) || 673 isa<SCEVConstant>(cast<SCEVAddRecExpr>(Reg)->getStart())))) 674 ++SetupCost; 675 } 676 677 /// RatePrimaryRegister - Record this register in the set. If we haven't seen it 678 /// before, rate it. 679 void Cost::RatePrimaryRegister(const SCEV *Reg, 680 SmallPtrSet<const SCEV *, 16> &Regs, 681 const Loop *L, 682 ScalarEvolution &SE, DominatorTree &DT) { 683 if (Regs.insert(Reg)) 684 RateRegister(Reg, Regs, L, SE, DT); 685 } 686 687 void Cost::RateFormula(const Formula &F, 688 SmallPtrSet<const SCEV *, 16> &Regs, 689 const DenseSet<const SCEV *> &VisitedRegs, 690 const Loop *L, 691 const SmallVectorImpl<int64_t> &Offsets, 692 ScalarEvolution &SE, DominatorTree &DT) { 693 // Tally up the registers. 694 if (const SCEV *ScaledReg = F.ScaledReg) { 695 if (VisitedRegs.count(ScaledReg)) { 696 Loose(); 697 return; 698 } 699 RatePrimaryRegister(ScaledReg, Regs, L, SE, DT); 700 } 701 for (SmallVectorImpl<const SCEV *>::const_iterator I = F.BaseRegs.begin(), 702 E = F.BaseRegs.end(); I != E; ++I) { 703 const SCEV *BaseReg = *I; 704 if (VisitedRegs.count(BaseReg)) { 705 Loose(); 706 return; 707 } 708 RatePrimaryRegister(BaseReg, Regs, L, SE, DT); 709 710 NumIVMuls += isa<SCEVMulExpr>(BaseReg) && 711 BaseReg->hasComputableLoopEvolution(L); 712 } 713 714 if (F.BaseRegs.size() > 1) 715 NumBaseAdds += F.BaseRegs.size() - 1; 716 717 // Tally up the non-zero immediates. 718 for (SmallVectorImpl<int64_t>::const_iterator I = Offsets.begin(), 719 E = Offsets.end(); I != E; ++I) { 720 int64_t Offset = (uint64_t)*I + F.AM.BaseOffs; 721 if (F.AM.BaseGV) 722 ImmCost += 64; // Handle symbolic values conservatively. 723 // TODO: This should probably be the pointer size. 724 else if (Offset != 0) 725 ImmCost += APInt(64, Offset, true).getMinSignedBits(); 726 } 727 } 728 729 /// Loose - Set this cost to a loosing value. 730 void Cost::Loose() { 731 NumRegs = ~0u; 732 AddRecCost = ~0u; 733 NumIVMuls = ~0u; 734 NumBaseAdds = ~0u; 735 ImmCost = ~0u; 736 SetupCost = ~0u; 737 } 738 739 /// operator< - Choose the lower cost. 740 bool Cost::operator<(const Cost &Other) const { 741 if (NumRegs != Other.NumRegs) 742 return NumRegs < Other.NumRegs; 743 if (AddRecCost != Other.AddRecCost) 744 return AddRecCost < Other.AddRecCost; 745 if (NumIVMuls != Other.NumIVMuls) 746 return NumIVMuls < Other.NumIVMuls; 747 if (NumBaseAdds != Other.NumBaseAdds) 748 return NumBaseAdds < Other.NumBaseAdds; 749 if (ImmCost != Other.ImmCost) 750 return ImmCost < Other.ImmCost; 751 if (SetupCost != Other.SetupCost) 752 return SetupCost < Other.SetupCost; 753 return false; 754 } 755 756 void Cost::print(raw_ostream &OS) const { 757 OS << NumRegs << " reg" << (NumRegs == 1 ? "" : "s"); 758 if (AddRecCost != 0) 759 OS << ", with addrec cost " << AddRecCost; 760 if (NumIVMuls != 0) 761 OS << ", plus " << NumIVMuls << " IV mul" << (NumIVMuls == 1 ? "" : "s"); 762 if (NumBaseAdds != 0) 763 OS << ", plus " << NumBaseAdds << " base add" 764 << (NumBaseAdds == 1 ? "" : "s"); 765 if (ImmCost != 0) 766 OS << ", plus " << ImmCost << " imm cost"; 767 if (SetupCost != 0) 768 OS << ", plus " << SetupCost << " setup cost"; 769 } 770 771 void Cost::dump() const { 772 print(errs()); errs() << '\n'; 773 } 774 775 namespace { 776 777 /// LSRFixup - An operand value in an instruction which is to be replaced 778 /// with some equivalent, possibly strength-reduced, replacement. 779 struct LSRFixup { 780 /// UserInst - The instruction which will be updated. 781 Instruction *UserInst; 782 783 /// OperandValToReplace - The operand of the instruction which will 784 /// be replaced. The operand may be used more than once; every instance 785 /// will be replaced. 786 Value *OperandValToReplace; 787 788 /// PostIncLoops - If this user is to use the post-incremented value of an 789 /// induction variable, this variable is non-null and holds the loop 790 /// associated with the induction variable. 791 PostIncLoopSet PostIncLoops; 792 793 /// LUIdx - The index of the LSRUse describing the expression which 794 /// this fixup needs, minus an offset (below). 795 size_t LUIdx; 796 797 /// Offset - A constant offset to be added to the LSRUse expression. 798 /// This allows multiple fixups to share the same LSRUse with different 799 /// offsets, for example in an unrolled loop. 800 int64_t Offset; 801 802 bool isUseFullyOutsideLoop(const Loop *L) const; 803 804 LSRFixup(); 805 806 void print(raw_ostream &OS) const; 807 void dump() const; 808 }; 809 810 } 811 812 LSRFixup::LSRFixup() 813 : UserInst(0), OperandValToReplace(0), 814 LUIdx(~size_t(0)), Offset(0) {} 815 816 /// isUseFullyOutsideLoop - Test whether this fixup always uses its 817 /// value outside of the given loop. 818 bool LSRFixup::isUseFullyOutsideLoop(const Loop *L) const { 819 // PHI nodes use their value in their incoming blocks. 820 if (const PHINode *PN = dyn_cast<PHINode>(UserInst)) { 821 for (unsigned i = 0, e = PN->getNumIncomingValues(); i != e; ++i) 822 if (PN->getIncomingValue(i) == OperandValToReplace && 823 L->contains(PN->getIncomingBlock(i))) 824 return false; 825 return true; 826 } 827 828 return !L->contains(UserInst); 829 } 830 831 void LSRFixup::print(raw_ostream &OS) const { 832 OS << "UserInst="; 833 // Store is common and interesting enough to be worth special-casing. 834 if (StoreInst *Store = dyn_cast<StoreInst>(UserInst)) { 835 OS << "store "; 836 WriteAsOperand(OS, Store->getOperand(0), /*PrintType=*/false); 837 } else if (UserInst->getType()->isVoidTy()) 838 OS << UserInst->getOpcodeName(); 839 else 840 WriteAsOperand(OS, UserInst, /*PrintType=*/false); 841 842 OS << ", OperandValToReplace="; 843 WriteAsOperand(OS, OperandValToReplace, /*PrintType=*/false); 844 845 for (PostIncLoopSet::const_iterator I = PostIncLoops.begin(), 846 E = PostIncLoops.end(); I != E; ++I) { 847 OS << ", PostIncLoop="; 848 WriteAsOperand(OS, (*I)->getHeader(), /*PrintType=*/false); 849 } 850 851 if (LUIdx != ~size_t(0)) 852 OS << ", LUIdx=" << LUIdx; 853 854 if (Offset != 0) 855 OS << ", Offset=" << Offset; 856 } 857 858 void LSRFixup::dump() const { 859 print(errs()); errs() << '\n'; 860 } 861 862 namespace { 863 864 /// UniquifierDenseMapInfo - A DenseMapInfo implementation for holding 865 /// DenseMaps and DenseSets of sorted SmallVectors of const SCEV*. 866 struct UniquifierDenseMapInfo { 867 static SmallVector<const SCEV *, 2> getEmptyKey() { 868 SmallVector<const SCEV *, 2> V; 869 V.push_back(reinterpret_cast<const SCEV *>(-1)); 870 return V; 871 } 872 873 static SmallVector<const SCEV *, 2> getTombstoneKey() { 874 SmallVector<const SCEV *, 2> V; 875 V.push_back(reinterpret_cast<const SCEV *>(-2)); 876 return V; 877 } 878 879 static unsigned getHashValue(const SmallVector<const SCEV *, 2> &V) { 880 unsigned Result = 0; 881 for (SmallVectorImpl<const SCEV *>::const_iterator I = V.begin(), 882 E = V.end(); I != E; ++I) 883 Result ^= DenseMapInfo<const SCEV *>::getHashValue(*I); 884 return Result; 885 } 886 887 static bool isEqual(const SmallVector<const SCEV *, 2> &LHS, 888 const SmallVector<const SCEV *, 2> &RHS) { 889 return LHS == RHS; 890 } 891 }; 892 893 /// LSRUse - This class holds the state that LSR keeps for each use in 894 /// IVUsers, as well as uses invented by LSR itself. It includes information 895 /// about what kinds of things can be folded into the user, information about 896 /// the user itself, and information about how the use may be satisfied. 897 /// TODO: Represent multiple users of the same expression in common? 898 class LSRUse { 899 DenseSet<SmallVector<const SCEV *, 2>, UniquifierDenseMapInfo> Uniquifier; 900 901 public: 902 /// KindType - An enum for a kind of use, indicating what types of 903 /// scaled and immediate operands it might support. 904 enum KindType { 905 Basic, ///< A normal use, with no folding. 906 Special, ///< A special case of basic, allowing -1 scales. 907 Address, ///< An address use; folding according to TargetLowering 908 ICmpZero ///< An equality icmp with both operands folded into one. 909 // TODO: Add a generic icmp too? 910 }; 911 912 KindType Kind; 913 const Type *AccessTy; 914 915 SmallVector<int64_t, 8> Offsets; 916 int64_t MinOffset; 917 int64_t MaxOffset; 918 919 /// AllFixupsOutsideLoop - This records whether all of the fixups using this 920 /// LSRUse are outside of the loop, in which case some special-case heuristics 921 /// may be used. 922 bool AllFixupsOutsideLoop; 923 924 /// Formulae - A list of ways to build a value that can satisfy this user. 925 /// After the list is populated, one of these is selected heuristically and 926 /// used to formulate a replacement for OperandValToReplace in UserInst. 927 SmallVector<Formula, 12> Formulae; 928 929 /// Regs - The set of register candidates used by all formulae in this LSRUse. 930 SmallPtrSet<const SCEV *, 4> Regs; 931 932 LSRUse(KindType K, const Type *T) : Kind(K), AccessTy(T), 933 MinOffset(INT64_MAX), 934 MaxOffset(INT64_MIN), 935 AllFixupsOutsideLoop(true) {} 936 937 bool InsertFormula(const Formula &F); 938 939 void check() const; 940 941 void print(raw_ostream &OS) const; 942 void dump() const; 943 }; 944 945 /// InsertFormula - If the given formula has not yet been inserted, add it to 946 /// the list, and return true. Return false otherwise. 947 bool LSRUse::InsertFormula(const Formula &F) { 948 SmallVector<const SCEV *, 2> Key = F.BaseRegs; 949 if (F.ScaledReg) Key.push_back(F.ScaledReg); 950 // Unstable sort by host order ok, because this is only used for uniquifying. 951 std::sort(Key.begin(), Key.end()); 952 953 if (!Uniquifier.insert(Key).second) 954 return false; 955 956 // Using a register to hold the value of 0 is not profitable. 957 assert((!F.ScaledReg || !F.ScaledReg->isZero()) && 958 "Zero allocated in a scaled register!"); 959 #ifndef NDEBUG 960 for (SmallVectorImpl<const SCEV *>::const_iterator I = 961 F.BaseRegs.begin(), E = F.BaseRegs.end(); I != E; ++I) 962 assert(!(*I)->isZero() && "Zero allocated in a base register!"); 963 #endif 964 965 // Add the formula to the list. 966 Formulae.push_back(F); 967 968 // Record registers now being used by this use. 969 if (F.ScaledReg) Regs.insert(F.ScaledReg); 970 Regs.insert(F.BaseRegs.begin(), F.BaseRegs.end()); 971 972 return true; 973 } 974 975 void LSRUse::print(raw_ostream &OS) const { 976 OS << "LSR Use: Kind="; 977 switch (Kind) { 978 case Basic: OS << "Basic"; break; 979 case Special: OS << "Special"; break; 980 case ICmpZero: OS << "ICmpZero"; break; 981 case Address: 982 OS << "Address of "; 983 if (AccessTy->isPointerTy()) 984 OS << "pointer"; // the full pointer type could be really verbose 985 else 986 OS << *AccessTy; 987 } 988 989 OS << ", Offsets={"; 990 for (SmallVectorImpl<int64_t>::const_iterator I = Offsets.begin(), 991 E = Offsets.end(); I != E; ++I) { 992 OS << *I; 993 if (next(I) != E) 994 OS << ','; 995 } 996 OS << '}'; 997 998 if (AllFixupsOutsideLoop) 999 OS << ", all-fixups-outside-loop"; 1000 } 1001 1002 void LSRUse::dump() const { 1003 print(errs()); errs() << '\n'; 1004 } 1005 1006 /// isLegalUse - Test whether the use described by AM is "legal", meaning it can 1007 /// be completely folded into the user instruction at isel time. This includes 1008 /// address-mode folding and special icmp tricks. 1009 static bool isLegalUse(const TargetLowering::AddrMode &AM, 1010 LSRUse::KindType Kind, const Type *AccessTy, 1011 const TargetLowering *TLI) { 1012 switch (Kind) { 1013 case LSRUse::Address: 1014 // If we have low-level target information, ask the target if it can 1015 // completely fold this address. 1016 if (TLI) return TLI->isLegalAddressingMode(AM, AccessTy); 1017 1018 // Otherwise, just guess that reg+reg addressing is legal. 1019 return !AM.BaseGV && AM.BaseOffs == 0 && AM.Scale <= 1; 1020 1021 case LSRUse::ICmpZero: 1022 // There's not even a target hook for querying whether it would be legal to 1023 // fold a GV into an ICmp. 1024 if (AM.BaseGV) 1025 return false; 1026 1027 // ICmp only has two operands; don't allow more than two non-trivial parts. 1028 if (AM.Scale != 0 && AM.HasBaseReg && AM.BaseOffs != 0) 1029 return false; 1030 1031 // ICmp only supports no scale or a -1 scale, as we can "fold" a -1 scale by 1032 // putting the scaled register in the other operand of the icmp. 1033 if (AM.Scale != 0 && AM.Scale != -1) 1034 return false; 1035 1036 // If we have low-level target information, ask the target if it can fold an 1037 // integer immediate on an icmp. 1038 if (AM.BaseOffs != 0) { 1039 if (TLI) return TLI->isLegalICmpImmediate(-AM.BaseOffs); 1040 return false; 1041 } 1042 1043 return true; 1044 1045 case LSRUse::Basic: 1046 // Only handle single-register values. 1047 return !AM.BaseGV && AM.Scale == 0 && AM.BaseOffs == 0; 1048 1049 case LSRUse::Special: 1050 // Only handle -1 scales, or no scale. 1051 return AM.Scale == 0 || AM.Scale == -1; 1052 } 1053 1054 return false; 1055 } 1056 1057 static bool isLegalUse(TargetLowering::AddrMode AM, 1058 int64_t MinOffset, int64_t MaxOffset, 1059 LSRUse::KindType Kind, const Type *AccessTy, 1060 const TargetLowering *TLI) { 1061 // Check for overflow. 1062 if (((int64_t)((uint64_t)AM.BaseOffs + MinOffset) > AM.BaseOffs) != 1063 (MinOffset > 0)) 1064 return false; 1065 AM.BaseOffs = (uint64_t)AM.BaseOffs + MinOffset; 1066 if (isLegalUse(AM, Kind, AccessTy, TLI)) { 1067 AM.BaseOffs = (uint64_t)AM.BaseOffs - MinOffset; 1068 // Check for overflow. 1069 if (((int64_t)((uint64_t)AM.BaseOffs + MaxOffset) > AM.BaseOffs) != 1070 (MaxOffset > 0)) 1071 return false; 1072 AM.BaseOffs = (uint64_t)AM.BaseOffs + MaxOffset; 1073 return isLegalUse(AM, Kind, AccessTy, TLI); 1074 } 1075 return false; 1076 } 1077 1078 static bool isAlwaysFoldable(int64_t BaseOffs, 1079 GlobalValue *BaseGV, 1080 bool HasBaseReg, 1081 LSRUse::KindType Kind, const Type *AccessTy, 1082 const TargetLowering *TLI) { 1083 // Fast-path: zero is always foldable. 1084 if (BaseOffs == 0 && !BaseGV) return true; 1085 1086 // Conservatively, create an address with an immediate and a 1087 // base and a scale. 1088 TargetLowering::AddrMode AM; 1089 AM.BaseOffs = BaseOffs; 1090 AM.BaseGV = BaseGV; 1091 AM.HasBaseReg = HasBaseReg; 1092 AM.Scale = Kind == LSRUse::ICmpZero ? -1 : 1; 1093 1094 return isLegalUse(AM, Kind, AccessTy, TLI); 1095 } 1096 1097 static bool isAlwaysFoldable(const SCEV *S, 1098 int64_t MinOffset, int64_t MaxOffset, 1099 bool HasBaseReg, 1100 LSRUse::KindType Kind, const Type *AccessTy, 1101 const TargetLowering *TLI, 1102 ScalarEvolution &SE) { 1103 // Fast-path: zero is always foldable. 1104 if (S->isZero()) return true; 1105 1106 // Conservatively, create an address with an immediate and a 1107 // base and a scale. 1108 int64_t BaseOffs = ExtractImmediate(S, SE); 1109 GlobalValue *BaseGV = ExtractSymbol(S, SE); 1110 1111 // If there's anything else involved, it's not foldable. 1112 if (!S->isZero()) return false; 1113 1114 // Fast-path: zero is always foldable. 1115 if (BaseOffs == 0 && !BaseGV) return true; 1116 1117 // Conservatively, create an address with an immediate and a 1118 // base and a scale. 1119 TargetLowering::AddrMode AM; 1120 AM.BaseOffs = BaseOffs; 1121 AM.BaseGV = BaseGV; 1122 AM.HasBaseReg = HasBaseReg; 1123 AM.Scale = Kind == LSRUse::ICmpZero ? -1 : 1; 1124 1125 return isLegalUse(AM, MinOffset, MaxOffset, Kind, AccessTy, TLI); 1126 } 1127 1128 /// FormulaSorter - This class implements an ordering for formulae which sorts 1129 /// the by their standalone cost. 1130 class FormulaSorter { 1131 /// These two sets are kept empty, so that we compute standalone costs. 1132 DenseSet<const SCEV *> VisitedRegs; 1133 SmallPtrSet<const SCEV *, 16> Regs; 1134 Loop *L; 1135 LSRUse *LU; 1136 ScalarEvolution &SE; 1137 DominatorTree &DT; 1138 1139 public: 1140 FormulaSorter(Loop *l, LSRUse &lu, ScalarEvolution &se, DominatorTree &dt) 1141 : L(l), LU(&lu), SE(se), DT(dt) {} 1142 1143 bool operator()(const Formula &A, const Formula &B) { 1144 Cost CostA; 1145 CostA.RateFormula(A, Regs, VisitedRegs, L, LU->Offsets, SE, DT); 1146 Regs.clear(); 1147 Cost CostB; 1148 CostB.RateFormula(B, Regs, VisitedRegs, L, LU->Offsets, SE, DT); 1149 Regs.clear(); 1150 return CostA < CostB; 1151 } 1152 }; 1153 1154 /// LSRInstance - This class holds state for the main loop strength reduction 1155 /// logic. 1156 class LSRInstance { 1157 IVUsers &IU; 1158 ScalarEvolution &SE; 1159 DominatorTree &DT; 1160 LoopInfo &LI; 1161 const TargetLowering *const TLI; 1162 Loop *const L; 1163 bool Changed; 1164 1165 /// IVIncInsertPos - This is the insert position that the current loop's 1166 /// induction variable increment should be placed. In simple loops, this is 1167 /// the latch block's terminator. But in more complicated cases, this is a 1168 /// position which will dominate all the in-loop post-increment users. 1169 Instruction *IVIncInsertPos; 1170 1171 /// Factors - Interesting factors between use strides. 1172 SmallSetVector<int64_t, 8> Factors; 1173 1174 /// Types - Interesting use types, to facilitate truncation reuse. 1175 SmallSetVector<const Type *, 4> Types; 1176 1177 /// Fixups - The list of operands which are to be replaced. 1178 SmallVector<LSRFixup, 16> Fixups; 1179 1180 /// Uses - The list of interesting uses. 1181 SmallVector<LSRUse, 16> Uses; 1182 1183 /// RegUses - Track which uses use which register candidates. 1184 RegUseTracker RegUses; 1185 1186 void OptimizeShadowIV(); 1187 bool FindIVUserForCond(ICmpInst *Cond, IVStrideUse *&CondUse); 1188 ICmpInst *OptimizeMax(ICmpInst *Cond, IVStrideUse* &CondUse); 1189 bool OptimizeLoopTermCond(); 1190 1191 void CollectInterestingTypesAndFactors(); 1192 void CollectFixupsAndInitialFormulae(); 1193 1194 LSRFixup &getNewFixup() { 1195 Fixups.push_back(LSRFixup()); 1196 return Fixups.back(); 1197 } 1198 1199 // Support for sharing of LSRUses between LSRFixups. 1200 typedef DenseMap<const SCEV *, size_t> UseMapTy; 1201 UseMapTy UseMap; 1202 1203 bool reconcileNewOffset(LSRUse &LU, int64_t NewOffset, 1204 LSRUse::KindType Kind, const Type *AccessTy); 1205 1206 std::pair<size_t, int64_t> getUse(const SCEV *&Expr, 1207 LSRUse::KindType Kind, 1208 const Type *AccessTy); 1209 1210 public: 1211 void InsertInitialFormula(const SCEV *S, LSRUse &LU, size_t LUIdx); 1212 void InsertSupplementalFormula(const SCEV *S, LSRUse &LU, size_t LUIdx); 1213 void CountRegisters(const Formula &F, size_t LUIdx); 1214 bool InsertFormula(LSRUse &LU, unsigned LUIdx, const Formula &F); 1215 1216 void CollectLoopInvariantFixupsAndFormulae(); 1217 1218 void GenerateReassociations(LSRUse &LU, unsigned LUIdx, Formula Base, 1219 unsigned Depth = 0); 1220 void GenerateCombinations(LSRUse &LU, unsigned LUIdx, Formula Base); 1221 void GenerateSymbolicOffsets(LSRUse &LU, unsigned LUIdx, Formula Base); 1222 void GenerateConstantOffsets(LSRUse &LU, unsigned LUIdx, Formula Base); 1223 void GenerateICmpZeroScales(LSRUse &LU, unsigned LUIdx, Formula Base); 1224 void GenerateScales(LSRUse &LU, unsigned LUIdx, Formula Base); 1225 void GenerateTruncates(LSRUse &LU, unsigned LUIdx, Formula Base); 1226 void GenerateCrossUseConstantOffsets(); 1227 void GenerateAllReuseFormulae(); 1228 1229 void FilterOutUndesirableDedicatedRegisters(); 1230 void NarrowSearchSpaceUsingHeuristics(); 1231 1232 void SolveRecurse(SmallVectorImpl<const Formula *> &Solution, 1233 Cost &SolutionCost, 1234 SmallVectorImpl<const Formula *> &Workspace, 1235 const Cost &CurCost, 1236 const SmallPtrSet<const SCEV *, 16> &CurRegs, 1237 DenseSet<const SCEV *> &VisitedRegs) const; 1238 void Solve(SmallVectorImpl<const Formula *> &Solution) const; 1239 1240 BasicBlock::iterator 1241 HoistInsertPosition(BasicBlock::iterator IP, 1242 const SmallVectorImpl<Instruction *> &Inputs) const; 1243 BasicBlock::iterator AdjustInsertPositionForExpand(BasicBlock::iterator IP, 1244 const LSRFixup &LF, 1245 const LSRUse &LU) const; 1246 1247 Value *Expand(const LSRFixup &LF, 1248 const Formula &F, 1249 BasicBlock::iterator IP, 1250 SCEVExpander &Rewriter, 1251 SmallVectorImpl<WeakVH> &DeadInsts) const; 1252 void RewriteForPHI(PHINode *PN, const LSRFixup &LF, 1253 const Formula &F, 1254 SCEVExpander &Rewriter, 1255 SmallVectorImpl<WeakVH> &DeadInsts, 1256 Pass *P) const; 1257 void Rewrite(const LSRFixup &LF, 1258 const Formula &F, 1259 SCEVExpander &Rewriter, 1260 SmallVectorImpl<WeakVH> &DeadInsts, 1261 Pass *P) const; 1262 void ImplementSolution(const SmallVectorImpl<const Formula *> &Solution, 1263 Pass *P); 1264 1265 LSRInstance(const TargetLowering *tli, Loop *l, Pass *P); 1266 1267 bool getChanged() const { return Changed; } 1268 1269 void print_factors_and_types(raw_ostream &OS) const; 1270 void print_fixups(raw_ostream &OS) const; 1271 void print_uses(raw_ostream &OS) const; 1272 void print(raw_ostream &OS) const; 1273 void dump() const; 1274 }; 1275 1276 } 1277 1278 /// OptimizeShadowIV - If IV is used in a int-to-float cast 1279 /// inside the loop then try to eliminate the cast operation. 1280 void LSRInstance::OptimizeShadowIV() { 1281 const SCEV *BackedgeTakenCount = SE.getBackedgeTakenCount(L); 1282 if (isa<SCEVCouldNotCompute>(BackedgeTakenCount)) 1283 return; 1284 1285 for (IVUsers::const_iterator UI = IU.begin(), E = IU.end(); 1286 UI != E; /* empty */) { 1287 IVUsers::const_iterator CandidateUI = UI; 1288 ++UI; 1289 Instruction *ShadowUse = CandidateUI->getUser(); 1290 const Type *DestTy = NULL; 1291 1292 /* If shadow use is a int->float cast then insert a second IV 1293 to eliminate this cast. 1294 1295 for (unsigned i = 0; i < n; ++i) 1296 foo((double)i); 1297 1298 is transformed into 1299 1300 double d = 0.0; 1301 for (unsigned i = 0; i < n; ++i, ++d) 1302 foo(d); 1303 */ 1304 if (UIToFPInst *UCast = dyn_cast<UIToFPInst>(CandidateUI->getUser())) 1305 DestTy = UCast->getDestTy(); 1306 else if (SIToFPInst *SCast = dyn_cast<SIToFPInst>(CandidateUI->getUser())) 1307 DestTy = SCast->getDestTy(); 1308 if (!DestTy) continue; 1309 1310 if (TLI) { 1311 // If target does not support DestTy natively then do not apply 1312 // this transformation. 1313 EVT DVT = TLI->getValueType(DestTy); 1314 if (!TLI->isTypeLegal(DVT)) continue; 1315 } 1316 1317 PHINode *PH = dyn_cast<PHINode>(ShadowUse->getOperand(0)); 1318 if (!PH) continue; 1319 if (PH->getNumIncomingValues() != 2) continue; 1320 1321 const Type *SrcTy = PH->getType(); 1322 int Mantissa = DestTy->getFPMantissaWidth(); 1323 if (Mantissa == -1) continue; 1324 if ((int)SE.getTypeSizeInBits(SrcTy) > Mantissa) 1325 continue; 1326 1327 unsigned Entry, Latch; 1328 if (PH->getIncomingBlock(0) == L->getLoopPreheader()) { 1329 Entry = 0; 1330 Latch = 1; 1331 } else { 1332 Entry = 1; 1333 Latch = 0; 1334 } 1335 1336 ConstantInt *Init = dyn_cast<ConstantInt>(PH->getIncomingValue(Entry)); 1337 if (!Init) continue; 1338 Constant *NewInit = ConstantFP::get(DestTy, Init->getZExtValue()); 1339 1340 BinaryOperator *Incr = 1341 dyn_cast<BinaryOperator>(PH->getIncomingValue(Latch)); 1342 if (!Incr) continue; 1343 if (Incr->getOpcode() != Instruction::Add 1344 && Incr->getOpcode() != Instruction::Sub) 1345 continue; 1346 1347 /* Initialize new IV, double d = 0.0 in above example. */ 1348 ConstantInt *C = NULL; 1349 if (Incr->getOperand(0) == PH) 1350 C = dyn_cast<ConstantInt>(Incr->getOperand(1)); 1351 else if (Incr->getOperand(1) == PH) 1352 C = dyn_cast<ConstantInt>(Incr->getOperand(0)); 1353 else 1354 continue; 1355 1356 if (!C) continue; 1357 1358 // Ignore negative constants, as the code below doesn't handle them 1359 // correctly. TODO: Remove this restriction. 1360 if (!C->getValue().isStrictlyPositive()) continue; 1361 1362 /* Add new PHINode. */ 1363 PHINode *NewPH = PHINode::Create(DestTy, "IV.S.", PH); 1364 1365 /* create new increment. '++d' in above example. */ 1366 Constant *CFP = ConstantFP::get(DestTy, C->getZExtValue()); 1367 BinaryOperator *NewIncr = 1368 BinaryOperator::Create(Incr->getOpcode() == Instruction::Add ? 1369 Instruction::FAdd : Instruction::FSub, 1370 NewPH, CFP, "IV.S.next.", Incr); 1371 1372 NewPH->addIncoming(NewInit, PH->getIncomingBlock(Entry)); 1373 NewPH->addIncoming(NewIncr, PH->getIncomingBlock(Latch)); 1374 1375 /* Remove cast operation */ 1376 ShadowUse->replaceAllUsesWith(NewPH); 1377 ShadowUse->eraseFromParent(); 1378 break; 1379 } 1380 } 1381 1382 /// FindIVUserForCond - If Cond has an operand that is an expression of an IV, 1383 /// set the IV user and stride information and return true, otherwise return 1384 /// false. 1385 bool LSRInstance::FindIVUserForCond(ICmpInst *Cond, 1386 IVStrideUse *&CondUse) { 1387 for (IVUsers::iterator UI = IU.begin(), E = IU.end(); UI != E; ++UI) 1388 if (UI->getUser() == Cond) { 1389 // NOTE: we could handle setcc instructions with multiple uses here, but 1390 // InstCombine does it as well for simple uses, it's not clear that it 1391 // occurs enough in real life to handle. 1392 CondUse = UI; 1393 return true; 1394 } 1395 return false; 1396 } 1397 1398 /// OptimizeMax - Rewrite the loop's terminating condition if it uses 1399 /// a max computation. 1400 /// 1401 /// This is a narrow solution to a specific, but acute, problem. For loops 1402 /// like this: 1403 /// 1404 /// i = 0; 1405 /// do { 1406 /// p[i] = 0.0; 1407 /// } while (++i < n); 1408 /// 1409 /// the trip count isn't just 'n', because 'n' might not be positive. And 1410 /// unfortunately this can come up even for loops where the user didn't use 1411 /// a C do-while loop. For example, seemingly well-behaved top-test loops 1412 /// will commonly be lowered like this: 1413 // 1414 /// if (n > 0) { 1415 /// i = 0; 1416 /// do { 1417 /// p[i] = 0.0; 1418 /// } while (++i < n); 1419 /// } 1420 /// 1421 /// and then it's possible for subsequent optimization to obscure the if 1422 /// test in such a way that indvars can't find it. 1423 /// 1424 /// When indvars can't find the if test in loops like this, it creates a 1425 /// max expression, which allows it to give the loop a canonical 1426 /// induction variable: 1427 /// 1428 /// i = 0; 1429 /// max = n < 1 ? 1 : n; 1430 /// do { 1431 /// p[i] = 0.0; 1432 /// } while (++i != max); 1433 /// 1434 /// Canonical induction variables are necessary because the loop passes 1435 /// are designed around them. The most obvious example of this is the 1436 /// LoopInfo analysis, which doesn't remember trip count values. It 1437 /// expects to be able to rediscover the trip count each time it is 1438 /// needed, and it does this using a simple analysis that only succeeds if 1439 /// the loop has a canonical induction variable. 1440 /// 1441 /// However, when it comes time to generate code, the maximum operation 1442 /// can be quite costly, especially if it's inside of an outer loop. 1443 /// 1444 /// This function solves this problem by detecting this type of loop and 1445 /// rewriting their conditions from ICMP_NE back to ICMP_SLT, and deleting 1446 /// the instructions for the maximum computation. 1447 /// 1448 ICmpInst *LSRInstance::OptimizeMax(ICmpInst *Cond, IVStrideUse* &CondUse) { 1449 // Check that the loop matches the pattern we're looking for. 1450 if (Cond->getPredicate() != CmpInst::ICMP_EQ && 1451 Cond->getPredicate() != CmpInst::ICMP_NE) 1452 return Cond; 1453 1454 SelectInst *Sel = dyn_cast<SelectInst>(Cond->getOperand(1)); 1455 if (!Sel || !Sel->hasOneUse()) return Cond; 1456 1457 const SCEV *BackedgeTakenCount = SE.getBackedgeTakenCount(L); 1458 if (isa<SCEVCouldNotCompute>(BackedgeTakenCount)) 1459 return Cond; 1460 const SCEV *One = SE.getConstant(BackedgeTakenCount->getType(), 1); 1461 1462 // Add one to the backedge-taken count to get the trip count. 1463 const SCEV *IterationCount = SE.getAddExpr(BackedgeTakenCount, One); 1464 if (IterationCount != SE.getSCEV(Sel)) return Cond; 1465 1466 // Check for a max calculation that matches the pattern. There's no check 1467 // for ICMP_ULE here because the comparison would be with zero, which 1468 // isn't interesting. 1469 CmpInst::Predicate Pred = ICmpInst::BAD_ICMP_PREDICATE; 1470 const SCEVNAryExpr *Max = 0; 1471 if (const SCEVSMaxExpr *S = dyn_cast<SCEVSMaxExpr>(BackedgeTakenCount)) { 1472 Pred = ICmpInst::ICMP_SLE; 1473 Max = S; 1474 } else if (const SCEVSMaxExpr *S = dyn_cast<SCEVSMaxExpr>(IterationCount)) { 1475 Pred = ICmpInst::ICMP_SLT; 1476 Max = S; 1477 } else if (const SCEVUMaxExpr *U = dyn_cast<SCEVUMaxExpr>(IterationCount)) { 1478 Pred = ICmpInst::ICMP_ULT; 1479 Max = U; 1480 } else { 1481 // No match; bail. 1482 return Cond; 1483 } 1484 1485 // To handle a max with more than two operands, this optimization would 1486 // require additional checking and setup. 1487 if (Max->getNumOperands() != 2) 1488 return Cond; 1489 1490 const SCEV *MaxLHS = Max->getOperand(0); 1491 const SCEV *MaxRHS = Max->getOperand(1); 1492 1493 // ScalarEvolution canonicalizes constants to the left. For < and >, look 1494 // for a comparison with 1. For <= and >=, a comparison with zero. 1495 if (!MaxLHS || 1496 (ICmpInst::isTrueWhenEqual(Pred) ? !MaxLHS->isZero() : (MaxLHS != One))) 1497 return Cond; 1498 1499 // Check the relevant induction variable for conformance to 1500 // the pattern. 1501 const SCEV *IV = SE.getSCEV(Cond->getOperand(0)); 1502 const SCEVAddRecExpr *AR = dyn_cast<SCEVAddRecExpr>(IV); 1503 if (!AR || !AR->isAffine() || 1504 AR->getStart() != One || 1505 AR->getStepRecurrence(SE) != One) 1506 return Cond; 1507 1508 assert(AR->getLoop() == L && 1509 "Loop condition operand is an addrec in a different loop!"); 1510 1511 // Check the right operand of the select, and remember it, as it will 1512 // be used in the new comparison instruction. 1513 Value *NewRHS = 0; 1514 if (ICmpInst::isTrueWhenEqual(Pred)) { 1515 // Look for n+1, and grab n. 1516 if (AddOperator *BO = dyn_cast<AddOperator>(Sel->getOperand(1))) 1517 if (isa<ConstantInt>(BO->getOperand(1)) && 1518 cast<ConstantInt>(BO->getOperand(1))->isOne() && 1519 SE.getSCEV(BO->getOperand(0)) == MaxRHS) 1520 NewRHS = BO->getOperand(0); 1521 if (AddOperator *BO = dyn_cast<AddOperator>(Sel->getOperand(2))) 1522 if (isa<ConstantInt>(BO->getOperand(1)) && 1523 cast<ConstantInt>(BO->getOperand(1))->isOne() && 1524 SE.getSCEV(BO->getOperand(0)) == MaxRHS) 1525 NewRHS = BO->getOperand(0); 1526 if (!NewRHS) 1527 return Cond; 1528 } else if (SE.getSCEV(Sel->getOperand(1)) == MaxRHS) 1529 NewRHS = Sel->getOperand(1); 1530 else if (SE.getSCEV(Sel->getOperand(2)) == MaxRHS) 1531 NewRHS = Sel->getOperand(2); 1532 else 1533 llvm_unreachable("Max doesn't match expected pattern!"); 1534 1535 // Determine the new comparison opcode. It may be signed or unsigned, 1536 // and the original comparison may be either equality or inequality. 1537 if (Cond->getPredicate() == CmpInst::ICMP_EQ) 1538 Pred = CmpInst::getInversePredicate(Pred); 1539 1540 // Ok, everything looks ok to change the condition into an SLT or SGE and 1541 // delete the max calculation. 1542 ICmpInst *NewCond = 1543 new ICmpInst(Cond, Pred, Cond->getOperand(0), NewRHS, "scmp"); 1544 1545 // Delete the max calculation instructions. 1546 Cond->replaceAllUsesWith(NewCond); 1547 CondUse->setUser(NewCond); 1548 Instruction *Cmp = cast<Instruction>(Sel->getOperand(0)); 1549 Cond->eraseFromParent(); 1550 Sel->eraseFromParent(); 1551 if (Cmp->use_empty()) 1552 Cmp->eraseFromParent(); 1553 return NewCond; 1554 } 1555 1556 /// OptimizeLoopTermCond - Change loop terminating condition to use the 1557 /// postinc iv when possible. 1558 bool 1559 LSRInstance::OptimizeLoopTermCond() { 1560 SmallPtrSet<Instruction *, 4> PostIncs; 1561 1562 BasicBlock *LatchBlock = L->getLoopLatch(); 1563 SmallVector<BasicBlock*, 8> ExitingBlocks; 1564 L->getExitingBlocks(ExitingBlocks); 1565 1566 for (unsigned i = 0, e = ExitingBlocks.size(); i != e; ++i) { 1567 BasicBlock *ExitingBlock = ExitingBlocks[i]; 1568 1569 // Get the terminating condition for the loop if possible. If we 1570 // can, we want to change it to use a post-incremented version of its 1571 // induction variable, to allow coalescing the live ranges for the IV into 1572 // one register value. 1573 1574 BranchInst *TermBr = dyn_cast<BranchInst>(ExitingBlock->getTerminator()); 1575 if (!TermBr) 1576 continue; 1577 // FIXME: Overly conservative, termination condition could be an 'or' etc.. 1578 if (TermBr->isUnconditional() || !isa<ICmpInst>(TermBr->getCondition())) 1579 continue; 1580 1581 // Search IVUsesByStride to find Cond's IVUse if there is one. 1582 IVStrideUse *CondUse = 0; 1583 ICmpInst *Cond = cast<ICmpInst>(TermBr->getCondition()); 1584 if (!FindIVUserForCond(Cond, CondUse)) 1585 continue; 1586 1587 // If the trip count is computed in terms of a max (due to ScalarEvolution 1588 // being unable to find a sufficient guard, for example), change the loop 1589 // comparison to use SLT or ULT instead of NE. 1590 // One consequence of doing this now is that it disrupts the count-down 1591 // optimization. That's not always a bad thing though, because in such 1592 // cases it may still be worthwhile to avoid a max. 1593 Cond = OptimizeMax(Cond, CondUse); 1594 1595 // If this exiting block dominates the latch block, it may also use 1596 // the post-inc value if it won't be shared with other uses. 1597 // Check for dominance. 1598 if (!DT.dominates(ExitingBlock, LatchBlock)) 1599 continue; 1600 1601 // Conservatively avoid trying to use the post-inc value in non-latch 1602 // exits if there may be pre-inc users in intervening blocks. 1603 if (LatchBlock != ExitingBlock) 1604 for (IVUsers::const_iterator UI = IU.begin(), E = IU.end(); UI != E; ++UI) 1605 // Test if the use is reachable from the exiting block. This dominator 1606 // query is a conservative approximation of reachability. 1607 if (&*UI != CondUse && 1608 !DT.properlyDominates(UI->getUser()->getParent(), ExitingBlock)) { 1609 // Conservatively assume there may be reuse if the quotient of their 1610 // strides could be a legal scale. 1611 const SCEV *A = IU.getStride(*CondUse, L); 1612 const SCEV *B = IU.getStride(*UI, L); 1613 if (!A || !B) continue; 1614 if (SE.getTypeSizeInBits(A->getType()) != 1615 SE.getTypeSizeInBits(B->getType())) { 1616 if (SE.getTypeSizeInBits(A->getType()) > 1617 SE.getTypeSizeInBits(B->getType())) 1618 B = SE.getSignExtendExpr(B, A->getType()); 1619 else 1620 A = SE.getSignExtendExpr(A, B->getType()); 1621 } 1622 if (const SCEVConstant *D = 1623 dyn_cast_or_null<SCEVConstant>(getExactSDiv(B, A, SE))) { 1624 // Stride of one or negative one can have reuse with non-addresses. 1625 if (D->getValue()->isOne() || 1626 D->getValue()->isAllOnesValue()) 1627 goto decline_post_inc; 1628 // Avoid weird situations. 1629 if (D->getValue()->getValue().getMinSignedBits() >= 64 || 1630 D->getValue()->getValue().isMinSignedValue()) 1631 goto decline_post_inc; 1632 // Without TLI, assume that any stride might be valid, and so any 1633 // use might be shared. 1634 if (!TLI) 1635 goto decline_post_inc; 1636 // Check for possible scaled-address reuse. 1637 const Type *AccessTy = getAccessType(UI->getUser()); 1638 TargetLowering::AddrMode AM; 1639 AM.Scale = D->getValue()->getSExtValue(); 1640 if (TLI->isLegalAddressingMode(AM, AccessTy)) 1641 goto decline_post_inc; 1642 AM.Scale = -AM.Scale; 1643 if (TLI->isLegalAddressingMode(AM, AccessTy)) 1644 goto decline_post_inc; 1645 } 1646 } 1647 1648 DEBUG(dbgs() << " Change loop exiting icmp to use postinc iv: " 1649 << *Cond << '\n'); 1650 1651 // It's possible for the setcc instruction to be anywhere in the loop, and 1652 // possible for it to have multiple users. If it is not immediately before 1653 // the exiting block branch, move it. 1654 if (&*++BasicBlock::iterator(Cond) != TermBr) { 1655 if (Cond->hasOneUse()) { 1656 Cond->moveBefore(TermBr); 1657 } else { 1658 // Clone the terminating condition and insert into the loopend. 1659 ICmpInst *OldCond = Cond; 1660 Cond = cast<ICmpInst>(Cond->clone()); 1661 Cond->setName(L->getHeader()->getName() + ".termcond"); 1662 ExitingBlock->getInstList().insert(TermBr, Cond); 1663 1664 // Clone the IVUse, as the old use still exists! 1665 CondUse = &IU.AddUser(Cond, CondUse->getOperandValToReplace()); 1666 TermBr->replaceUsesOfWith(OldCond, Cond); 1667 } 1668 } 1669 1670 // If we get to here, we know that we can transform the setcc instruction to 1671 // use the post-incremented version of the IV, allowing us to coalesce the 1672 // live ranges for the IV correctly. 1673 CondUse->transformToPostInc(L); 1674 Changed = true; 1675 1676 PostIncs.insert(Cond); 1677 decline_post_inc:; 1678 } 1679 1680 // Determine an insertion point for the loop induction variable increment. It 1681 // must dominate all the post-inc comparisons we just set up, and it must 1682 // dominate the loop latch edge. 1683 IVIncInsertPos = L->getLoopLatch()->getTerminator(); 1684 for (SmallPtrSet<Instruction *, 4>::const_iterator I = PostIncs.begin(), 1685 E = PostIncs.end(); I != E; ++I) { 1686 BasicBlock *BB = 1687 DT.findNearestCommonDominator(IVIncInsertPos->getParent(), 1688 (*I)->getParent()); 1689 if (BB == (*I)->getParent()) 1690 IVIncInsertPos = *I; 1691 else if (BB != IVIncInsertPos->getParent()) 1692 IVIncInsertPos = BB->getTerminator(); 1693 } 1694 1695 return Changed; 1696 } 1697 1698 bool 1699 LSRInstance::reconcileNewOffset(LSRUse &LU, int64_t NewOffset, 1700 LSRUse::KindType Kind, const Type *AccessTy) { 1701 int64_t NewMinOffset = LU.MinOffset; 1702 int64_t NewMaxOffset = LU.MaxOffset; 1703 const Type *NewAccessTy = AccessTy; 1704 1705 // Check for a mismatched kind. It's tempting to collapse mismatched kinds to 1706 // something conservative, however this can pessimize in the case that one of 1707 // the uses will have all its uses outside the loop, for example. 1708 if (LU.Kind != Kind) 1709 return false; 1710 // Conservatively assume HasBaseReg is true for now. 1711 if (NewOffset < LU.MinOffset) { 1712 if (!isAlwaysFoldable(LU.MaxOffset - NewOffset, 0, /*HasBaseReg=*/true, 1713 Kind, AccessTy, TLI)) 1714 return false; 1715 NewMinOffset = NewOffset; 1716 } else if (NewOffset > LU.MaxOffset) { 1717 if (!isAlwaysFoldable(NewOffset - LU.MinOffset, 0, /*HasBaseReg=*/true, 1718 Kind, AccessTy, TLI)) 1719 return false; 1720 NewMaxOffset = NewOffset; 1721 } 1722 // Check for a mismatched access type, and fall back conservatively as needed. 1723 if (Kind == LSRUse::Address && AccessTy != LU.AccessTy) 1724 NewAccessTy = Type::getVoidTy(AccessTy->getContext()); 1725 1726 // Update the use. 1727 LU.MinOffset = NewMinOffset; 1728 LU.MaxOffset = NewMaxOffset; 1729 LU.AccessTy = NewAccessTy; 1730 if (NewOffset != LU.Offsets.back()) 1731 LU.Offsets.push_back(NewOffset); 1732 return true; 1733 } 1734 1735 /// getUse - Return an LSRUse index and an offset value for a fixup which 1736 /// needs the given expression, with the given kind and optional access type. 1737 /// Either reuse an existing use or create a new one, as needed. 1738 std::pair<size_t, int64_t> 1739 LSRInstance::getUse(const SCEV *&Expr, 1740 LSRUse::KindType Kind, const Type *AccessTy) { 1741 const SCEV *Copy = Expr; 1742 int64_t Offset = ExtractImmediate(Expr, SE); 1743 1744 // Basic uses can't accept any offset, for example. 1745 if (!isAlwaysFoldable(Offset, 0, /*HasBaseReg=*/true, Kind, AccessTy, TLI)) { 1746 Expr = Copy; 1747 Offset = 0; 1748 } 1749 1750 std::pair<UseMapTy::iterator, bool> P = 1751 UseMap.insert(std::make_pair(Expr, 0)); 1752 if (!P.second) { 1753 // A use already existed with this base. 1754 size_t LUIdx = P.first->second; 1755 LSRUse &LU = Uses[LUIdx]; 1756 if (reconcileNewOffset(LU, Offset, Kind, AccessTy)) 1757 // Reuse this use. 1758 return std::make_pair(LUIdx, Offset); 1759 } 1760 1761 // Create a new use. 1762 size_t LUIdx = Uses.size(); 1763 P.first->second = LUIdx; 1764 Uses.push_back(LSRUse(Kind, AccessTy)); 1765 LSRUse &LU = Uses[LUIdx]; 1766 1767 // We don't need to track redundant offsets, but we don't need to go out 1768 // of our way here to avoid them. 1769 if (LU.Offsets.empty() || Offset != LU.Offsets.back()) 1770 LU.Offsets.push_back(Offset); 1771 1772 LU.MinOffset = Offset; 1773 LU.MaxOffset = Offset; 1774 return std::make_pair(LUIdx, Offset); 1775 } 1776 1777 void LSRInstance::CollectInterestingTypesAndFactors() { 1778 SmallSetVector<const SCEV *, 4> Strides; 1779 1780 // Collect interesting types and strides. 1781 SmallVector<const SCEV *, 4> Worklist; 1782 for (IVUsers::const_iterator UI = IU.begin(), E = IU.end(); UI != E; ++UI) { 1783 const SCEV *Expr = IU.getExpr(*UI); 1784 1785 // Collect interesting types. 1786 Types.insert(SE.getEffectiveSCEVType(Expr->getType())); 1787 1788 // Add strides for mentioned loops. 1789 Worklist.push_back(Expr); 1790 do { 1791 const SCEV *S = Worklist.pop_back_val(); 1792 if (const SCEVAddRecExpr *AR = dyn_cast<SCEVAddRecExpr>(S)) { 1793 Strides.insert(AR->getStepRecurrence(SE)); 1794 Worklist.push_back(AR->getStart()); 1795 } else if (const SCEVAddExpr *Add = dyn_cast<SCEVAddExpr>(S)) { 1796 Worklist.insert(Worklist.end(), Add->op_begin(), Add->op_end()); 1797 } 1798 } while (!Worklist.empty()); 1799 } 1800 1801 // Compute interesting factors from the set of interesting strides. 1802 for (SmallSetVector<const SCEV *, 4>::const_iterator 1803 I = Strides.begin(), E = Strides.end(); I != E; ++I) 1804 for (SmallSetVector<const SCEV *, 4>::const_iterator NewStrideIter = 1805 next(I); NewStrideIter != E; ++NewStrideIter) { 1806 const SCEV *OldStride = *I; 1807 const SCEV *NewStride = *NewStrideIter; 1808 1809 if (SE.getTypeSizeInBits(OldStride->getType()) != 1810 SE.getTypeSizeInBits(NewStride->getType())) { 1811 if (SE.getTypeSizeInBits(OldStride->getType()) > 1812 SE.getTypeSizeInBits(NewStride->getType())) 1813 NewStride = SE.getSignExtendExpr(NewStride, OldStride->getType()); 1814 else 1815 OldStride = SE.getSignExtendExpr(OldStride, NewStride->getType()); 1816 } 1817 if (const SCEVConstant *Factor = 1818 dyn_cast_or_null<SCEVConstant>(getExactSDiv(NewStride, OldStride, 1819 SE, true))) { 1820 if (Factor->getValue()->getValue().getMinSignedBits() <= 64) 1821 Factors.insert(Factor->getValue()->getValue().getSExtValue()); 1822 } else if (const SCEVConstant *Factor = 1823 dyn_cast_or_null<SCEVConstant>(getExactSDiv(OldStride, 1824 NewStride, 1825 SE, true))) { 1826 if (Factor->getValue()->getValue().getMinSignedBits() <= 64) 1827 Factors.insert(Factor->getValue()->getValue().getSExtValue()); 1828 } 1829 } 1830 1831 // If all uses use the same type, don't bother looking for truncation-based 1832 // reuse. 1833 if (Types.size() == 1) 1834 Types.clear(); 1835 1836 DEBUG(print_factors_and_types(dbgs())); 1837 } 1838 1839 void LSRInstance::CollectFixupsAndInitialFormulae() { 1840 for (IVUsers::const_iterator UI = IU.begin(), E = IU.end(); UI != E; ++UI) { 1841 // Record the uses. 1842 LSRFixup &LF = getNewFixup(); 1843 LF.UserInst = UI->getUser(); 1844 LF.OperandValToReplace = UI->getOperandValToReplace(); 1845 LF.PostIncLoops = UI->getPostIncLoops(); 1846 1847 LSRUse::KindType Kind = LSRUse::Basic; 1848 const Type *AccessTy = 0; 1849 if (isAddressUse(LF.UserInst, LF.OperandValToReplace)) { 1850 Kind = LSRUse::Address; 1851 AccessTy = getAccessType(LF.UserInst); 1852 } 1853 1854 const SCEV *S = IU.getExpr(*UI); 1855 1856 // Equality (== and !=) ICmps are special. We can rewrite (i == N) as 1857 // (N - i == 0), and this allows (N - i) to be the expression that we work 1858 // with rather than just N or i, so we can consider the register 1859 // requirements for both N and i at the same time. Limiting this code to 1860 // equality icmps is not a problem because all interesting loops use 1861 // equality icmps, thanks to IndVarSimplify. 1862 if (ICmpInst *CI = dyn_cast<ICmpInst>(LF.UserInst)) 1863 if (CI->isEquality()) { 1864 // Swap the operands if needed to put the OperandValToReplace on the 1865 // left, for consistency. 1866 Value *NV = CI->getOperand(1); 1867 if (NV == LF.OperandValToReplace) { 1868 CI->setOperand(1, CI->getOperand(0)); 1869 CI->setOperand(0, NV); 1870 } 1871 1872 // x == y --> x - y == 0 1873 const SCEV *N = SE.getSCEV(NV); 1874 if (N->isLoopInvariant(L)) { 1875 Kind = LSRUse::ICmpZero; 1876 S = SE.getMinusSCEV(N, S); 1877 } 1878 1879 // -1 and the negations of all interesting strides (except the negation 1880 // of -1) are now also interesting. 1881 for (size_t i = 0, e = Factors.size(); i != e; ++i) 1882 if (Factors[i] != -1) 1883 Factors.insert(-(uint64_t)Factors[i]); 1884 Factors.insert(-1); 1885 } 1886 1887 // Set up the initial formula for this use. 1888 std::pair<size_t, int64_t> P = getUse(S, Kind, AccessTy); 1889 LF.LUIdx = P.first; 1890 LF.Offset = P.second; 1891 LSRUse &LU = Uses[LF.LUIdx]; 1892 LU.AllFixupsOutsideLoop &= LF.isUseFullyOutsideLoop(L); 1893 1894 // If this is the first use of this LSRUse, give it a formula. 1895 if (LU.Formulae.empty()) { 1896 InsertInitialFormula(S, LU, LF.LUIdx); 1897 CountRegisters(LU.Formulae.back(), LF.LUIdx); 1898 } 1899 } 1900 1901 DEBUG(print_fixups(dbgs())); 1902 } 1903 1904 void 1905 LSRInstance::InsertInitialFormula(const SCEV *S, LSRUse &LU, size_t LUIdx) { 1906 Formula F; 1907 F.InitialMatch(S, L, SE, DT); 1908 bool Inserted = InsertFormula(LU, LUIdx, F); 1909 assert(Inserted && "Initial formula already exists!"); (void)Inserted; 1910 } 1911 1912 void 1913 LSRInstance::InsertSupplementalFormula(const SCEV *S, 1914 LSRUse &LU, size_t LUIdx) { 1915 Formula F; 1916 F.BaseRegs.push_back(S); 1917 F.AM.HasBaseReg = true; 1918 bool Inserted = InsertFormula(LU, LUIdx, F); 1919 assert(Inserted && "Supplemental formula already exists!"); (void)Inserted; 1920 } 1921 1922 /// CountRegisters - Note which registers are used by the given formula, 1923 /// updating RegUses. 1924 void LSRInstance::CountRegisters(const Formula &F, size_t LUIdx) { 1925 if (F.ScaledReg) 1926 RegUses.CountRegister(F.ScaledReg, LUIdx); 1927 for (SmallVectorImpl<const SCEV *>::const_iterator I = F.BaseRegs.begin(), 1928 E = F.BaseRegs.end(); I != E; ++I) 1929 RegUses.CountRegister(*I, LUIdx); 1930 } 1931 1932 /// InsertFormula - If the given formula has not yet been inserted, add it to 1933 /// the list, and return true. Return false otherwise. 1934 bool LSRInstance::InsertFormula(LSRUse &LU, unsigned LUIdx, const Formula &F) { 1935 if (!LU.InsertFormula(F)) 1936 return false; 1937 1938 CountRegisters(F, LUIdx); 1939 return true; 1940 } 1941 1942 /// CollectLoopInvariantFixupsAndFormulae - Check for other uses of 1943 /// loop-invariant values which we're tracking. These other uses will pin these 1944 /// values in registers, making them less profitable for elimination. 1945 /// TODO: This currently misses non-constant addrec step registers. 1946 /// TODO: Should this give more weight to users inside the loop? 1947 void 1948 LSRInstance::CollectLoopInvariantFixupsAndFormulae() { 1949 SmallVector<const SCEV *, 8> Worklist(RegUses.begin(), RegUses.end()); 1950 SmallPtrSet<const SCEV *, 8> Inserted; 1951 1952 while (!Worklist.empty()) { 1953 const SCEV *S = Worklist.pop_back_val(); 1954 1955 if (const SCEVNAryExpr *N = dyn_cast<SCEVNAryExpr>(S)) 1956 Worklist.insert(Worklist.end(), N->op_begin(), N->op_end()); 1957 else if (const SCEVCastExpr *C = dyn_cast<SCEVCastExpr>(S)) 1958 Worklist.push_back(C->getOperand()); 1959 else if (const SCEVUDivExpr *D = dyn_cast<SCEVUDivExpr>(S)) { 1960 Worklist.push_back(D->getLHS()); 1961 Worklist.push_back(D->getRHS()); 1962 } else if (const SCEVUnknown *U = dyn_cast<SCEVUnknown>(S)) { 1963 if (!Inserted.insert(U)) continue; 1964 const Value *V = U->getValue(); 1965 if (const Instruction *Inst = dyn_cast<Instruction>(V)) 1966 if (L->contains(Inst)) continue; 1967 for (Value::const_use_iterator UI = V->use_begin(), UE = V->use_end(); 1968 UI != UE; ++UI) { 1969 const Instruction *UserInst = dyn_cast<Instruction>(*UI); 1970 // Ignore non-instructions. 1971 if (!UserInst) 1972 continue; 1973 // Ignore instructions in other functions (as can happen with 1974 // Constants). 1975 if (UserInst->getParent()->getParent() != L->getHeader()->getParent()) 1976 continue; 1977 // Ignore instructions not dominated by the loop. 1978 const BasicBlock *UseBB = !isa<PHINode>(UserInst) ? 1979 UserInst->getParent() : 1980 cast<PHINode>(UserInst)->getIncomingBlock( 1981 PHINode::getIncomingValueNumForOperand(UI.getOperandNo())); 1982 if (!DT.dominates(L->getHeader(), UseBB)) 1983 continue; 1984 // Ignore uses which are part of other SCEV expressions, to avoid 1985 // analyzing them multiple times. 1986 if (SE.isSCEVable(UserInst->getType())) { 1987 const SCEV *UserS = SE.getSCEV(const_cast<Instruction *>(UserInst)); 1988 // If the user is a no-op, look through to its uses. 1989 if (!isa<SCEVUnknown>(UserS)) 1990 continue; 1991 if (UserS == U) { 1992 Worklist.push_back( 1993 SE.getUnknown(const_cast<Instruction *>(UserInst))); 1994 continue; 1995 } 1996 } 1997 // Ignore icmp instructions which are already being analyzed. 1998 if (const ICmpInst *ICI = dyn_cast<ICmpInst>(UserInst)) { 1999 unsigned OtherIdx = !UI.getOperandNo(); 2000 Value *OtherOp = const_cast<Value *>(ICI->getOperand(OtherIdx)); 2001 if (SE.getSCEV(OtherOp)->hasComputableLoopEvolution(L)) 2002 continue; 2003 } 2004 2005 LSRFixup &LF = getNewFixup(); 2006 LF.UserInst = const_cast<Instruction *>(UserInst); 2007 LF.OperandValToReplace = UI.getUse(); 2008 std::pair<size_t, int64_t> P = getUse(S, LSRUse::Basic, 0); 2009 LF.LUIdx = P.first; 2010 LF.Offset = P.second; 2011 LSRUse &LU = Uses[LF.LUIdx]; 2012 LU.AllFixupsOutsideLoop &= LF.isUseFullyOutsideLoop(L); 2013 InsertSupplementalFormula(U, LU, LF.LUIdx); 2014 CountRegisters(LU.Formulae.back(), Uses.size() - 1); 2015 break; 2016 } 2017 } 2018 } 2019 } 2020 2021 /// CollectSubexprs - Split S into subexpressions which can be pulled out into 2022 /// separate registers. If C is non-null, multiply each subexpression by C. 2023 static void CollectSubexprs(const SCEV *S, const SCEVConstant *C, 2024 SmallVectorImpl<const SCEV *> &Ops, 2025 ScalarEvolution &SE) { 2026 if (const SCEVAddExpr *Add = dyn_cast<SCEVAddExpr>(S)) { 2027 // Break out add operands. 2028 for (SCEVAddExpr::op_iterator I = Add->op_begin(), E = Add->op_end(); 2029 I != E; ++I) 2030 CollectSubexprs(*I, C, Ops, SE); 2031 return; 2032 } else if (const SCEVAddRecExpr *AR = dyn_cast<SCEVAddRecExpr>(S)) { 2033 // Split a non-zero base out of an addrec. 2034 if (!AR->getStart()->isZero()) { 2035 CollectSubexprs(SE.getAddRecExpr(SE.getConstant(AR->getType(), 0), 2036 AR->getStepRecurrence(SE), 2037 AR->getLoop()), C, Ops, SE); 2038 CollectSubexprs(AR->getStart(), C, Ops, SE); 2039 return; 2040 } 2041 } else if (const SCEVMulExpr *Mul = dyn_cast<SCEVMulExpr>(S)) { 2042 // Break (C * (a + b + c)) into C*a + C*b + C*c. 2043 if (Mul->getNumOperands() == 2) 2044 if (const SCEVConstant *Op0 = 2045 dyn_cast<SCEVConstant>(Mul->getOperand(0))) { 2046 CollectSubexprs(Mul->getOperand(1), 2047 C ? cast<SCEVConstant>(SE.getMulExpr(C, Op0)) : Op0, 2048 Ops, SE); 2049 return; 2050 } 2051 } 2052 2053 // Otherwise use the value itself. 2054 Ops.push_back(C ? SE.getMulExpr(C, S) : S); 2055 } 2056 2057 /// GenerateReassociations - Split out subexpressions from adds and the bases of 2058 /// addrecs. 2059 void LSRInstance::GenerateReassociations(LSRUse &LU, unsigned LUIdx, 2060 Formula Base, 2061 unsigned Depth) { 2062 // Arbitrarily cap recursion to protect compile time. 2063 if (Depth >= 3) return; 2064 2065 for (size_t i = 0, e = Base.BaseRegs.size(); i != e; ++i) { 2066 const SCEV *BaseReg = Base.BaseRegs[i]; 2067 2068 SmallVector<const SCEV *, 8> AddOps; 2069 CollectSubexprs(BaseReg, 0, AddOps, SE); 2070 if (AddOps.size() == 1) continue; 2071 2072 for (SmallVectorImpl<const SCEV *>::const_iterator J = AddOps.begin(), 2073 JE = AddOps.end(); J != JE; ++J) { 2074 // Don't pull a constant into a register if the constant could be folded 2075 // into an immediate field. 2076 if (isAlwaysFoldable(*J, LU.MinOffset, LU.MaxOffset, 2077 Base.getNumRegs() > 1, 2078 LU.Kind, LU.AccessTy, TLI, SE)) 2079 continue; 2080 2081 // Collect all operands except *J. 2082 SmallVector<const SCEV *, 8> InnerAddOps; 2083 for (SmallVectorImpl<const SCEV *>::const_iterator K = AddOps.begin(), 2084 KE = AddOps.end(); K != KE; ++K) 2085 if (K != J) 2086 InnerAddOps.push_back(*K); 2087 2088 // Don't leave just a constant behind in a register if the constant could 2089 // be folded into an immediate field. 2090 if (InnerAddOps.size() == 1 && 2091 isAlwaysFoldable(InnerAddOps[0], LU.MinOffset, LU.MaxOffset, 2092 Base.getNumRegs() > 1, 2093 LU.Kind, LU.AccessTy, TLI, SE)) 2094 continue; 2095 2096 const SCEV *InnerSum = SE.getAddExpr(InnerAddOps); 2097 if (InnerSum->isZero()) 2098 continue; 2099 Formula F = Base; 2100 F.BaseRegs[i] = InnerSum; 2101 F.BaseRegs.push_back(*J); 2102 if (InsertFormula(LU, LUIdx, F)) 2103 // If that formula hadn't been seen before, recurse to find more like 2104 // it. 2105 GenerateReassociations(LU, LUIdx, LU.Formulae.back(), Depth+1); 2106 } 2107 } 2108 } 2109 2110 /// GenerateCombinations - Generate a formula consisting of all of the 2111 /// loop-dominating registers added into a single register. 2112 void LSRInstance::GenerateCombinations(LSRUse &LU, unsigned LUIdx, 2113 Formula Base) { 2114 // This method is only interesting on a plurality of registers. 2115 if (Base.BaseRegs.size() <= 1) return; 2116 2117 Formula F = Base; 2118 F.BaseRegs.clear(); 2119 SmallVector<const SCEV *, 4> Ops; 2120 for (SmallVectorImpl<const SCEV *>::const_iterator 2121 I = Base.BaseRegs.begin(), E = Base.BaseRegs.end(); I != E; ++I) { 2122 const SCEV *BaseReg = *I; 2123 if (BaseReg->properlyDominates(L->getHeader(), &DT) && 2124 !BaseReg->hasComputableLoopEvolution(L)) 2125 Ops.push_back(BaseReg); 2126 else 2127 F.BaseRegs.push_back(BaseReg); 2128 } 2129 if (Ops.size() > 1) { 2130 const SCEV *Sum = SE.getAddExpr(Ops); 2131 // TODO: If Sum is zero, it probably means ScalarEvolution missed an 2132 // opportunity to fold something. For now, just ignore such cases 2133 // rather than proceed with zero in a register. 2134 if (!Sum->isZero()) { 2135 F.BaseRegs.push_back(Sum); 2136 (void)InsertFormula(LU, LUIdx, F); 2137 } 2138 } 2139 } 2140 2141 /// GenerateSymbolicOffsets - Generate reuse formulae using symbolic offsets. 2142 void LSRInstance::GenerateSymbolicOffsets(LSRUse &LU, unsigned LUIdx, 2143 Formula Base) { 2144 // We can't add a symbolic offset if the address already contains one. 2145 if (Base.AM.BaseGV) return; 2146 2147 for (size_t i = 0, e = Base.BaseRegs.size(); i != e; ++i) { 2148 const SCEV *G = Base.BaseRegs[i]; 2149 GlobalValue *GV = ExtractSymbol(G, SE); 2150 if (G->isZero() || !GV) 2151 continue; 2152 Formula F = Base; 2153 F.AM.BaseGV = GV; 2154 if (!isLegalUse(F.AM, LU.MinOffset, LU.MaxOffset, 2155 LU.Kind, LU.AccessTy, TLI)) 2156 continue; 2157 F.BaseRegs[i] = G; 2158 (void)InsertFormula(LU, LUIdx, F); 2159 } 2160 } 2161 2162 /// GenerateConstantOffsets - Generate reuse formulae using symbolic offsets. 2163 void LSRInstance::GenerateConstantOffsets(LSRUse &LU, unsigned LUIdx, 2164 Formula Base) { 2165 // TODO: For now, just add the min and max offset, because it usually isn't 2166 // worthwhile looking at everything inbetween. 2167 SmallVector<int64_t, 4> Worklist; 2168 Worklist.push_back(LU.MinOffset); 2169 if (LU.MaxOffset != LU.MinOffset) 2170 Worklist.push_back(LU.MaxOffset); 2171 2172 for (size_t i = 0, e = Base.BaseRegs.size(); i != e; ++i) { 2173 const SCEV *G = Base.BaseRegs[i]; 2174 2175 for (SmallVectorImpl<int64_t>::const_iterator I = Worklist.begin(), 2176 E = Worklist.end(); I != E; ++I) { 2177 Formula F = Base; 2178 F.AM.BaseOffs = (uint64_t)Base.AM.BaseOffs - *I; 2179 if (isLegalUse(F.AM, LU.MinOffset - *I, LU.MaxOffset - *I, 2180 LU.Kind, LU.AccessTy, TLI)) { 2181 F.BaseRegs[i] = SE.getAddExpr(G, SE.getConstant(G->getType(), *I)); 2182 2183 (void)InsertFormula(LU, LUIdx, F); 2184 } 2185 } 2186 2187 int64_t Imm = ExtractImmediate(G, SE); 2188 if (G->isZero() || Imm == 0) 2189 continue; 2190 Formula F = Base; 2191 F.AM.BaseOffs = (uint64_t)F.AM.BaseOffs + Imm; 2192 if (!isLegalUse(F.AM, LU.MinOffset, LU.MaxOffset, 2193 LU.Kind, LU.AccessTy, TLI)) 2194 continue; 2195 F.BaseRegs[i] = G; 2196 (void)InsertFormula(LU, LUIdx, F); 2197 } 2198 } 2199 2200 /// GenerateICmpZeroScales - For ICmpZero, check to see if we can scale up 2201 /// the comparison. For example, x == y -> x*c == y*c. 2202 void LSRInstance::GenerateICmpZeroScales(LSRUse &LU, unsigned LUIdx, 2203 Formula Base) { 2204 if (LU.Kind != LSRUse::ICmpZero) return; 2205 2206 // Determine the integer type for the base formula. 2207 const Type *IntTy = Base.getType(); 2208 if (!IntTy) return; 2209 if (SE.getTypeSizeInBits(IntTy) > 64) return; 2210 2211 // Don't do this if there is more than one offset. 2212 if (LU.MinOffset != LU.MaxOffset) return; 2213 2214 assert(!Base.AM.BaseGV && "ICmpZero use is not legal!"); 2215 2216 // Check each interesting stride. 2217 for (SmallSetVector<int64_t, 8>::const_iterator 2218 I = Factors.begin(), E = Factors.end(); I != E; ++I) { 2219 int64_t Factor = *I; 2220 Formula F = Base; 2221 2222 // Check that the multiplication doesn't overflow. 2223 if (F.AM.BaseOffs == INT64_MIN && Factor == -1) 2224 continue; 2225 F.AM.BaseOffs = (uint64_t)Base.AM.BaseOffs * Factor; 2226 if (F.AM.BaseOffs / Factor != Base.AM.BaseOffs) 2227 continue; 2228 2229 // Check that multiplying with the use offset doesn't overflow. 2230 int64_t Offset = LU.MinOffset; 2231 if (Offset == INT64_MIN && Factor == -1) 2232 continue; 2233 Offset = (uint64_t)Offset * Factor; 2234 if (Offset / Factor != LU.MinOffset) 2235 continue; 2236 2237 // Check that this scale is legal. 2238 if (!isLegalUse(F.AM, Offset, Offset, LU.Kind, LU.AccessTy, TLI)) 2239 continue; 2240 2241 // Compensate for the use having MinOffset built into it. 2242 F.AM.BaseOffs = (uint64_t)F.AM.BaseOffs + Offset - LU.MinOffset; 2243 2244 const SCEV *FactorS = SE.getConstant(IntTy, Factor); 2245 2246 // Check that multiplying with each base register doesn't overflow. 2247 for (size_t i = 0, e = F.BaseRegs.size(); i != e; ++i) { 2248 F.BaseRegs[i] = SE.getMulExpr(F.BaseRegs[i], FactorS); 2249 if (getExactSDiv(F.BaseRegs[i], FactorS, SE) != Base.BaseRegs[i]) 2250 goto next; 2251 } 2252 2253 // Check that multiplying with the scaled register doesn't overflow. 2254 if (F.ScaledReg) { 2255 F.ScaledReg = SE.getMulExpr(F.ScaledReg, FactorS); 2256 if (getExactSDiv(F.ScaledReg, FactorS, SE) != Base.ScaledReg) 2257 continue; 2258 } 2259 2260 // If we make it here and it's legal, add it. 2261 (void)InsertFormula(LU, LUIdx, F); 2262 next:; 2263 } 2264 } 2265 2266 /// GenerateScales - Generate stride factor reuse formulae by making use of 2267 /// scaled-offset address modes, for example. 2268 void LSRInstance::GenerateScales(LSRUse &LU, unsigned LUIdx, 2269 Formula Base) { 2270 // Determine the integer type for the base formula. 2271 const Type *IntTy = Base.getType(); 2272 if (!IntTy) return; 2273 2274 // If this Formula already has a scaled register, we can't add another one. 2275 if (Base.AM.Scale != 0) return; 2276 2277 // Check each interesting stride. 2278 for (SmallSetVector<int64_t, 8>::const_iterator 2279 I = Factors.begin(), E = Factors.end(); I != E; ++I) { 2280 int64_t Factor = *I; 2281 2282 Base.AM.Scale = Factor; 2283 Base.AM.HasBaseReg = Base.BaseRegs.size() > 1; 2284 // Check whether this scale is going to be legal. 2285 if (!isLegalUse(Base.AM, LU.MinOffset, LU.MaxOffset, 2286 LU.Kind, LU.AccessTy, TLI)) { 2287 // As a special-case, handle special out-of-loop Basic users specially. 2288 // TODO: Reconsider this special case. 2289 if (LU.Kind == LSRUse::Basic && 2290 isLegalUse(Base.AM, LU.MinOffset, LU.MaxOffset, 2291 LSRUse::Special, LU.AccessTy, TLI) && 2292 LU.AllFixupsOutsideLoop) 2293 LU.Kind = LSRUse::Special; 2294 else 2295 continue; 2296 } 2297 // For an ICmpZero, negating a solitary base register won't lead to 2298 // new solutions. 2299 if (LU.Kind == LSRUse::ICmpZero && 2300 !Base.AM.HasBaseReg && Base.AM.BaseOffs == 0 && !Base.AM.BaseGV) 2301 continue; 2302 // For each addrec base reg, apply the scale, if possible. 2303 for (size_t i = 0, e = Base.BaseRegs.size(); i != e; ++i) 2304 if (const SCEVAddRecExpr *AR = 2305 dyn_cast<SCEVAddRecExpr>(Base.BaseRegs[i])) { 2306 const SCEV *FactorS = SE.getConstant(IntTy, Factor); 2307 if (FactorS->isZero()) 2308 continue; 2309 // Divide out the factor, ignoring high bits, since we'll be 2310 // scaling the value back up in the end. 2311 if (const SCEV *Quotient = getExactSDiv(AR, FactorS, SE, true)) { 2312 // TODO: This could be optimized to avoid all the copying. 2313 Formula F = Base; 2314 F.ScaledReg = Quotient; 2315 std::swap(F.BaseRegs[i], F.BaseRegs.back()); 2316 F.BaseRegs.pop_back(); 2317 (void)InsertFormula(LU, LUIdx, F); 2318 } 2319 } 2320 } 2321 } 2322 2323 /// GenerateTruncates - Generate reuse formulae from different IV types. 2324 void LSRInstance::GenerateTruncates(LSRUse &LU, unsigned LUIdx, 2325 Formula Base) { 2326 // This requires TargetLowering to tell us which truncates are free. 2327 if (!TLI) return; 2328 2329 // Don't bother truncating symbolic values. 2330 if (Base.AM.BaseGV) return; 2331 2332 // Determine the integer type for the base formula. 2333 const Type *DstTy = Base.getType(); 2334 if (!DstTy) return; 2335 DstTy = SE.getEffectiveSCEVType(DstTy); 2336 2337 for (SmallSetVector<const Type *, 4>::const_iterator 2338 I = Types.begin(), E = Types.end(); I != E; ++I) { 2339 const Type *SrcTy = *I; 2340 if (SrcTy != DstTy && TLI->isTruncateFree(SrcTy, DstTy)) { 2341 Formula F = Base; 2342 2343 if (F.ScaledReg) F.ScaledReg = SE.getAnyExtendExpr(F.ScaledReg, *I); 2344 for (SmallVectorImpl<const SCEV *>::iterator J = F.BaseRegs.begin(), 2345 JE = F.BaseRegs.end(); J != JE; ++J) 2346 *J = SE.getAnyExtendExpr(*J, SrcTy); 2347 2348 // TODO: This assumes we've done basic processing on all uses and 2349 // have an idea what the register usage is. 2350 if (!F.hasRegsUsedByUsesOtherThan(LUIdx, RegUses)) 2351 continue; 2352 2353 (void)InsertFormula(LU, LUIdx, F); 2354 } 2355 } 2356 } 2357 2358 namespace { 2359 2360 /// WorkItem - Helper class for GenerateCrossUseConstantOffsets. It's used to 2361 /// defer modifications so that the search phase doesn't have to worry about 2362 /// the data structures moving underneath it. 2363 struct WorkItem { 2364 size_t LUIdx; 2365 int64_t Imm; 2366 const SCEV *OrigReg; 2367 2368 WorkItem(size_t LI, int64_t I, const SCEV *R) 2369 : LUIdx(LI), Imm(I), OrigReg(R) {} 2370 2371 void print(raw_ostream &OS) const; 2372 void dump() const; 2373 }; 2374 2375 } 2376 2377 void WorkItem::print(raw_ostream &OS) const { 2378 OS << "in formulae referencing " << *OrigReg << " in use " << LUIdx 2379 << " , add offset " << Imm; 2380 } 2381 2382 void WorkItem::dump() const { 2383 print(errs()); errs() << '\n'; 2384 } 2385 2386 /// GenerateCrossUseConstantOffsets - Look for registers which are a constant 2387 /// distance apart and try to form reuse opportunities between them. 2388 void LSRInstance::GenerateCrossUseConstantOffsets() { 2389 // Group the registers by their value without any added constant offset. 2390 typedef std::map<int64_t, const SCEV *> ImmMapTy; 2391 typedef DenseMap<const SCEV *, ImmMapTy> RegMapTy; 2392 RegMapTy Map; 2393 DenseMap<const SCEV *, SmallBitVector> UsedByIndicesMap; 2394 SmallVector<const SCEV *, 8> Sequence; 2395 for (RegUseTracker::const_iterator I = RegUses.begin(), E = RegUses.end(); 2396 I != E; ++I) { 2397 const SCEV *Reg = *I; 2398 int64_t Imm = ExtractImmediate(Reg, SE); 2399 std::pair<RegMapTy::iterator, bool> Pair = 2400 Map.insert(std::make_pair(Reg, ImmMapTy())); 2401 if (Pair.second) 2402 Sequence.push_back(Reg); 2403 Pair.first->second.insert(std::make_pair(Imm, *I)); 2404 UsedByIndicesMap[Reg] |= RegUses.getUsedByIndices(*I); 2405 } 2406 2407 // Now examine each set of registers with the same base value. Build up 2408 // a list of work to do and do the work in a separate step so that we're 2409 // not adding formulae and register counts while we're searching. 2410 SmallVector<WorkItem, 32> WorkItems; 2411 SmallSet<std::pair<size_t, int64_t>, 32> UniqueItems; 2412 for (SmallVectorImpl<const SCEV *>::const_iterator I = Sequence.begin(), 2413 E = Sequence.end(); I != E; ++I) { 2414 const SCEV *Reg = *I; 2415 const ImmMapTy &Imms = Map.find(Reg)->second; 2416 2417 // It's not worthwhile looking for reuse if there's only one offset. 2418 if (Imms.size() == 1) 2419 continue; 2420 2421 DEBUG(dbgs() << "Generating cross-use offsets for " << *Reg << ':'; 2422 for (ImmMapTy::const_iterator J = Imms.begin(), JE = Imms.end(); 2423 J != JE; ++J) 2424 dbgs() << ' ' << J->first; 2425 dbgs() << '\n'); 2426 2427 // Examine each offset. 2428 for (ImmMapTy::const_iterator J = Imms.begin(), JE = Imms.end(); 2429 J != JE; ++J) { 2430 const SCEV *OrigReg = J->second; 2431 2432 int64_t JImm = J->first; 2433 const SmallBitVector &UsedByIndices = RegUses.getUsedByIndices(OrigReg); 2434 2435 if (!isa<SCEVConstant>(OrigReg) && 2436 UsedByIndicesMap[Reg].count() == 1) { 2437 DEBUG(dbgs() << "Skipping cross-use reuse for " << *OrigReg << '\n'); 2438 continue; 2439 } 2440 2441 // Conservatively examine offsets between this orig reg a few selected 2442 // other orig regs. 2443 ImmMapTy::const_iterator OtherImms[] = { 2444 Imms.begin(), prior(Imms.end()), 2445 Imms.upper_bound((Imms.begin()->first + prior(Imms.end())->first) / 2) 2446 }; 2447 for (size_t i = 0, e = array_lengthof(OtherImms); i != e; ++i) { 2448 ImmMapTy::const_iterator M = OtherImms[i]; 2449 if (M == J || M == JE) continue; 2450 2451 // Compute the difference between the two. 2452 int64_t Imm = (uint64_t)JImm - M->first; 2453 for (int LUIdx = UsedByIndices.find_first(); LUIdx != -1; 2454 LUIdx = UsedByIndices.find_next(LUIdx)) 2455 // Make a memo of this use, offset, and register tuple. 2456 if (UniqueItems.insert(std::make_pair(LUIdx, Imm))) 2457 WorkItems.push_back(WorkItem(LUIdx, Imm, OrigReg)); 2458 } 2459 } 2460 } 2461 2462 Map.clear(); 2463 Sequence.clear(); 2464 UsedByIndicesMap.clear(); 2465 UniqueItems.clear(); 2466 2467 // Now iterate through the worklist and add new formulae. 2468 for (SmallVectorImpl<WorkItem>::const_iterator I = WorkItems.begin(), 2469 E = WorkItems.end(); I != E; ++I) { 2470 const WorkItem &WI = *I; 2471 size_t LUIdx = WI.LUIdx; 2472 LSRUse &LU = Uses[LUIdx]; 2473 int64_t Imm = WI.Imm; 2474 const SCEV *OrigReg = WI.OrigReg; 2475 2476 const Type *IntTy = SE.getEffectiveSCEVType(OrigReg->getType()); 2477 const SCEV *NegImmS = SE.getSCEV(ConstantInt::get(IntTy, -(uint64_t)Imm)); 2478 unsigned BitWidth = SE.getTypeSizeInBits(IntTy); 2479 2480 // TODO: Use a more targeted data structure. 2481 for (size_t L = 0, LE = LU.Formulae.size(); L != LE; ++L) { 2482 Formula F = LU.Formulae[L]; 2483 // Use the immediate in the scaled register. 2484 if (F.ScaledReg == OrigReg) { 2485 int64_t Offs = (uint64_t)F.AM.BaseOffs + 2486 Imm * (uint64_t)F.AM.Scale; 2487 // Don't create 50 + reg(-50). 2488 if (F.referencesReg(SE.getSCEV( 2489 ConstantInt::get(IntTy, -(uint64_t)Offs)))) 2490 continue; 2491 Formula NewF = F; 2492 NewF.AM.BaseOffs = Offs; 2493 if (!isLegalUse(NewF.AM, LU.MinOffset, LU.MaxOffset, 2494 LU.Kind, LU.AccessTy, TLI)) 2495 continue; 2496 NewF.ScaledReg = SE.getAddExpr(NegImmS, NewF.ScaledReg); 2497 2498 // If the new scale is a constant in a register, and adding the constant 2499 // value to the immediate would produce a value closer to zero than the 2500 // immediate itself, then the formula isn't worthwhile. 2501 if (const SCEVConstant *C = dyn_cast<SCEVConstant>(NewF.ScaledReg)) 2502 if (C->getValue()->getValue().isNegative() != 2503 (NewF.AM.BaseOffs < 0) && 2504 (C->getValue()->getValue().abs() * APInt(BitWidth, F.AM.Scale)) 2505 .ule(abs64(NewF.AM.BaseOffs))) 2506 continue; 2507 2508 // OK, looks good. 2509 (void)InsertFormula(LU, LUIdx, NewF); 2510 } else { 2511 // Use the immediate in a base register. 2512 for (size_t N = 0, NE = F.BaseRegs.size(); N != NE; ++N) { 2513 const SCEV *BaseReg = F.BaseRegs[N]; 2514 if (BaseReg != OrigReg) 2515 continue; 2516 Formula NewF = F; 2517 NewF.AM.BaseOffs = (uint64_t)NewF.AM.BaseOffs + Imm; 2518 if (!isLegalUse(NewF.AM, LU.MinOffset, LU.MaxOffset, 2519 LU.Kind, LU.AccessTy, TLI)) 2520 continue; 2521 NewF.BaseRegs[N] = SE.getAddExpr(NegImmS, BaseReg); 2522 2523 // If the new formula has a constant in a register, and adding the 2524 // constant value to the immediate would produce a value closer to 2525 // zero than the immediate itself, then the formula isn't worthwhile. 2526 for (SmallVectorImpl<const SCEV *>::const_iterator 2527 J = NewF.BaseRegs.begin(), JE = NewF.BaseRegs.end(); 2528 J != JE; ++J) 2529 if (const SCEVConstant *C = dyn_cast<SCEVConstant>(*J)) 2530 if (C->getValue()->getValue().isNegative() != 2531 (NewF.AM.BaseOffs < 0) && 2532 C->getValue()->getValue().abs() 2533 .ule(abs64(NewF.AM.BaseOffs))) 2534 goto skip_formula; 2535 2536 // Ok, looks good. 2537 (void)InsertFormula(LU, LUIdx, NewF); 2538 break; 2539 skip_formula:; 2540 } 2541 } 2542 } 2543 } 2544 } 2545 2546 /// GenerateAllReuseFormulae - Generate formulae for each use. 2547 void 2548 LSRInstance::GenerateAllReuseFormulae() { 2549 // This is split into multiple loops so that hasRegsUsedByUsesOtherThan 2550 // queries are more precise. 2551 for (size_t LUIdx = 0, NumUses = Uses.size(); LUIdx != NumUses; ++LUIdx) { 2552 LSRUse &LU = Uses[LUIdx]; 2553 for (size_t i = 0, f = LU.Formulae.size(); i != f; ++i) 2554 GenerateReassociations(LU, LUIdx, LU.Formulae[i]); 2555 for (size_t i = 0, f = LU.Formulae.size(); i != f; ++i) 2556 GenerateCombinations(LU, LUIdx, LU.Formulae[i]); 2557 } 2558 for (size_t LUIdx = 0, NumUses = Uses.size(); LUIdx != NumUses; ++LUIdx) { 2559 LSRUse &LU = Uses[LUIdx]; 2560 for (size_t i = 0, f = LU.Formulae.size(); i != f; ++i) 2561 GenerateSymbolicOffsets(LU, LUIdx, LU.Formulae[i]); 2562 for (size_t i = 0, f = LU.Formulae.size(); i != f; ++i) 2563 GenerateConstantOffsets(LU, LUIdx, LU.Formulae[i]); 2564 for (size_t i = 0, f = LU.Formulae.size(); i != f; ++i) 2565 GenerateICmpZeroScales(LU, LUIdx, LU.Formulae[i]); 2566 for (size_t i = 0, f = LU.Formulae.size(); i != f; ++i) 2567 GenerateScales(LU, LUIdx, LU.Formulae[i]); 2568 } 2569 for (size_t LUIdx = 0, NumUses = Uses.size(); LUIdx != NumUses; ++LUIdx) { 2570 LSRUse &LU = Uses[LUIdx]; 2571 for (size_t i = 0, f = LU.Formulae.size(); i != f; ++i) 2572 GenerateTruncates(LU, LUIdx, LU.Formulae[i]); 2573 } 2574 2575 GenerateCrossUseConstantOffsets(); 2576 } 2577 2578 /// If their are multiple formulae with the same set of registers used 2579 /// by other uses, pick the best one and delete the others. 2580 void LSRInstance::FilterOutUndesirableDedicatedRegisters() { 2581 #ifndef NDEBUG 2582 bool Changed = false; 2583 #endif 2584 2585 // Collect the best formula for each unique set of shared registers. This 2586 // is reset for each use. 2587 typedef DenseMap<SmallVector<const SCEV *, 2>, size_t, UniquifierDenseMapInfo> 2588 BestFormulaeTy; 2589 BestFormulaeTy BestFormulae; 2590 2591 for (size_t LUIdx = 0, NumUses = Uses.size(); LUIdx != NumUses; ++LUIdx) { 2592 LSRUse &LU = Uses[LUIdx]; 2593 FormulaSorter Sorter(L, LU, SE, DT); 2594 2595 // Clear out the set of used regs; it will be recomputed. 2596 LU.Regs.clear(); 2597 2598 for (size_t FIdx = 0, NumForms = LU.Formulae.size(); 2599 FIdx != NumForms; ++FIdx) { 2600 Formula &F = LU.Formulae[FIdx]; 2601 2602 SmallVector<const SCEV *, 2> Key; 2603 for (SmallVectorImpl<const SCEV *>::const_iterator J = F.BaseRegs.begin(), 2604 JE = F.BaseRegs.end(); J != JE; ++J) { 2605 const SCEV *Reg = *J; 2606 if (RegUses.isRegUsedByUsesOtherThan(Reg, LUIdx)) 2607 Key.push_back(Reg); 2608 } 2609 if (F.ScaledReg && 2610 RegUses.isRegUsedByUsesOtherThan(F.ScaledReg, LUIdx)) 2611 Key.push_back(F.ScaledReg); 2612 // Unstable sort by host order ok, because this is only used for 2613 // uniquifying. 2614 std::sort(Key.begin(), Key.end()); 2615 2616 std::pair<BestFormulaeTy::const_iterator, bool> P = 2617 BestFormulae.insert(std::make_pair(Key, FIdx)); 2618 if (!P.second) { 2619 Formula &Best = LU.Formulae[P.first->second]; 2620 if (Sorter.operator()(F, Best)) 2621 std::swap(F, Best); 2622 DEBUG(dbgs() << "Filtering out "; F.print(dbgs()); 2623 dbgs() << "\n" 2624 " in favor of "; Best.print(dbgs()); 2625 dbgs() << '\n'); 2626 #ifndef NDEBUG 2627 Changed = true; 2628 #endif 2629 std::swap(F, LU.Formulae.back()); 2630 LU.Formulae.pop_back(); 2631 --FIdx; 2632 --NumForms; 2633 continue; 2634 } 2635 if (F.ScaledReg) LU.Regs.insert(F.ScaledReg); 2636 LU.Regs.insert(F.BaseRegs.begin(), F.BaseRegs.end()); 2637 } 2638 BestFormulae.clear(); 2639 } 2640 2641 DEBUG(if (Changed) { 2642 dbgs() << "\n" 2643 "After filtering out undesirable candidates:\n"; 2644 print_uses(dbgs()); 2645 }); 2646 } 2647 2648 /// NarrowSearchSpaceUsingHeuristics - If there are an extraordinary number of 2649 /// formulae to choose from, use some rough heuristics to prune down the number 2650 /// of formulae. This keeps the main solver from taking an extraordinary amount 2651 /// of time in some worst-case scenarios. 2652 void LSRInstance::NarrowSearchSpaceUsingHeuristics() { 2653 // This is a rough guess that seems to work fairly well. 2654 const size_t Limit = UINT16_MAX; 2655 2656 SmallPtrSet<const SCEV *, 4> Taken; 2657 for (;;) { 2658 // Estimate the worst-case number of solutions we might consider. We almost 2659 // never consider this many solutions because we prune the search space, 2660 // but the pruning isn't always sufficient. 2661 uint32_t Power = 1; 2662 for (SmallVectorImpl<LSRUse>::const_iterator I = Uses.begin(), 2663 E = Uses.end(); I != E; ++I) { 2664 size_t FSize = I->Formulae.size(); 2665 if (FSize >= Limit) { 2666 Power = Limit; 2667 break; 2668 } 2669 Power *= FSize; 2670 if (Power >= Limit) 2671 break; 2672 } 2673 if (Power < Limit) 2674 break; 2675 2676 // Ok, we have too many of formulae on our hands to conveniently handle. 2677 // Use a rough heuristic to thin out the list. 2678 2679 // Pick the register which is used by the most LSRUses, which is likely 2680 // to be a good reuse register candidate. 2681 const SCEV *Best = 0; 2682 unsigned BestNum = 0; 2683 for (RegUseTracker::const_iterator I = RegUses.begin(), E = RegUses.end(); 2684 I != E; ++I) { 2685 const SCEV *Reg = *I; 2686 if (Taken.count(Reg)) 2687 continue; 2688 if (!Best) 2689 Best = Reg; 2690 else { 2691 unsigned Count = RegUses.getUsedByIndices(Reg).count(); 2692 if (Count > BestNum) { 2693 Best = Reg; 2694 BestNum = Count; 2695 } 2696 } 2697 } 2698 2699 DEBUG(dbgs() << "Narrowing the search space by assuming " << *Best 2700 << " will yield profitable reuse.\n"); 2701 Taken.insert(Best); 2702 2703 // In any use with formulae which references this register, delete formulae 2704 // which don't reference it. 2705 for (SmallVectorImpl<LSRUse>::iterator I = Uses.begin(), 2706 E = Uses.end(); I != E; ++I) { 2707 LSRUse &LU = *I; 2708 if (!LU.Regs.count(Best)) continue; 2709 2710 // Clear out the set of used regs; it will be recomputed. 2711 LU.Regs.clear(); 2712 2713 for (size_t i = 0, e = LU.Formulae.size(); i != e; ++i) { 2714 Formula &F = LU.Formulae[i]; 2715 if (!F.referencesReg(Best)) { 2716 DEBUG(dbgs() << " Deleting "; F.print(dbgs()); dbgs() << '\n'); 2717 std::swap(LU.Formulae.back(), F); 2718 LU.Formulae.pop_back(); 2719 --e; 2720 --i; 2721 continue; 2722 } 2723 2724 if (F.ScaledReg) LU.Regs.insert(F.ScaledReg); 2725 LU.Regs.insert(F.BaseRegs.begin(), F.BaseRegs.end()); 2726 } 2727 } 2728 2729 DEBUG(dbgs() << "After pre-selection:\n"; 2730 print_uses(dbgs())); 2731 } 2732 } 2733 2734 /// SolveRecurse - This is the recursive solver. 2735 void LSRInstance::SolveRecurse(SmallVectorImpl<const Formula *> &Solution, 2736 Cost &SolutionCost, 2737 SmallVectorImpl<const Formula *> &Workspace, 2738 const Cost &CurCost, 2739 const SmallPtrSet<const SCEV *, 16> &CurRegs, 2740 DenseSet<const SCEV *> &VisitedRegs) const { 2741 // Some ideas: 2742 // - prune more: 2743 // - use more aggressive filtering 2744 // - sort the formula so that the most profitable solutions are found first 2745 // - sort the uses too 2746 // - search faster: 2747 // - don't compute a cost, and then compare. compare while computing a cost 2748 // and bail early. 2749 // - track register sets with SmallBitVector 2750 2751 const LSRUse &LU = Uses[Workspace.size()]; 2752 2753 // If this use references any register that's already a part of the 2754 // in-progress solution, consider it a requirement that a formula must 2755 // reference that register in order to be considered. This prunes out 2756 // unprofitable searching. 2757 SmallSetVector<const SCEV *, 4> ReqRegs; 2758 for (SmallPtrSet<const SCEV *, 16>::const_iterator I = CurRegs.begin(), 2759 E = CurRegs.end(); I != E; ++I) 2760 if (LU.Regs.count(*I)) 2761 ReqRegs.insert(*I); 2762 2763 bool AnySatisfiedReqRegs = false; 2764 SmallPtrSet<const SCEV *, 16> NewRegs; 2765 Cost NewCost; 2766 retry: 2767 for (SmallVectorImpl<Formula>::const_iterator I = LU.Formulae.begin(), 2768 E = LU.Formulae.end(); I != E; ++I) { 2769 const Formula &F = *I; 2770 2771 // Ignore formulae which do not use any of the required registers. 2772 for (SmallSetVector<const SCEV *, 4>::const_iterator J = ReqRegs.begin(), 2773 JE = ReqRegs.end(); J != JE; ++J) { 2774 const SCEV *Reg = *J; 2775 if ((!F.ScaledReg || F.ScaledReg != Reg) && 2776 std::find(F.BaseRegs.begin(), F.BaseRegs.end(), Reg) == 2777 F.BaseRegs.end()) 2778 goto skip; 2779 } 2780 AnySatisfiedReqRegs = true; 2781 2782 // Evaluate the cost of the current formula. If it's already worse than 2783 // the current best, prune the search at that point. 2784 NewCost = CurCost; 2785 NewRegs = CurRegs; 2786 NewCost.RateFormula(F, NewRegs, VisitedRegs, L, LU.Offsets, SE, DT); 2787 if (NewCost < SolutionCost) { 2788 Workspace.push_back(&F); 2789 if (Workspace.size() != Uses.size()) { 2790 SolveRecurse(Solution, SolutionCost, Workspace, NewCost, 2791 NewRegs, VisitedRegs); 2792 if (F.getNumRegs() == 1 && Workspace.size() == 1) 2793 VisitedRegs.insert(F.ScaledReg ? F.ScaledReg : F.BaseRegs[0]); 2794 } else { 2795 DEBUG(dbgs() << "New best at "; NewCost.print(dbgs()); 2796 dbgs() << ". Regs:"; 2797 for (SmallPtrSet<const SCEV *, 16>::const_iterator 2798 I = NewRegs.begin(), E = NewRegs.end(); I != E; ++I) 2799 dbgs() << ' ' << **I; 2800 dbgs() << '\n'); 2801 2802 SolutionCost = NewCost; 2803 Solution = Workspace; 2804 } 2805 Workspace.pop_back(); 2806 } 2807 skip:; 2808 } 2809 2810 // If none of the formulae had all of the required registers, relax the 2811 // constraint so that we don't exclude all formulae. 2812 if (!AnySatisfiedReqRegs) { 2813 ReqRegs.clear(); 2814 goto retry; 2815 } 2816 } 2817 2818 void LSRInstance::Solve(SmallVectorImpl<const Formula *> &Solution) const { 2819 SmallVector<const Formula *, 8> Workspace; 2820 Cost SolutionCost; 2821 SolutionCost.Loose(); 2822 Cost CurCost; 2823 SmallPtrSet<const SCEV *, 16> CurRegs; 2824 DenseSet<const SCEV *> VisitedRegs; 2825 Workspace.reserve(Uses.size()); 2826 2827 SolveRecurse(Solution, SolutionCost, Workspace, CurCost, 2828 CurRegs, VisitedRegs); 2829 2830 // Ok, we've now made all our decisions. 2831 DEBUG(dbgs() << "\n" 2832 "The chosen solution requires "; SolutionCost.print(dbgs()); 2833 dbgs() << ":\n"; 2834 for (size_t i = 0, e = Uses.size(); i != e; ++i) { 2835 dbgs() << " "; 2836 Uses[i].print(dbgs()); 2837 dbgs() << "\n" 2838 " "; 2839 Solution[i]->print(dbgs()); 2840 dbgs() << '\n'; 2841 }); 2842 } 2843 2844 /// getImmediateDominator - A handy utility for the specific DominatorTree 2845 /// query that we need here. 2846 /// 2847 static BasicBlock *getImmediateDominator(BasicBlock *BB, DominatorTree &DT) { 2848 DomTreeNode *Node = DT.getNode(BB); 2849 if (!Node) return 0; 2850 Node = Node->getIDom(); 2851 if (!Node) return 0; 2852 return Node->getBlock(); 2853 } 2854 2855 /// HoistInsertPosition - Helper for AdjustInsertPositionForExpand. Climb up 2856 /// the dominator tree far as we can go while still being dominated by the 2857 /// input positions. This helps canonicalize the insert position, which 2858 /// encourages sharing. 2859 BasicBlock::iterator 2860 LSRInstance::HoistInsertPosition(BasicBlock::iterator IP, 2861 const SmallVectorImpl<Instruction *> &Inputs) 2862 const { 2863 for (;;) { 2864 const Loop *IPLoop = LI.getLoopFor(IP->getParent()); 2865 unsigned IPLoopDepth = IPLoop ? IPLoop->getLoopDepth() : 0; 2866 2867 BasicBlock *IDom; 2868 for (BasicBlock *Rung = IP->getParent(); ; Rung = IDom) { 2869 IDom = getImmediateDominator(Rung, DT); 2870 if (!IDom) return IP; 2871 2872 // Don't climb into a loop though. 2873 const Loop *IDomLoop = LI.getLoopFor(IDom); 2874 unsigned IDomDepth = IDomLoop ? IDomLoop->getLoopDepth() : 0; 2875 if (IDomDepth <= IPLoopDepth && 2876 (IDomDepth != IPLoopDepth || IDomLoop == IPLoop)) 2877 break; 2878 } 2879 2880 bool AllDominate = true; 2881 Instruction *BetterPos = 0; 2882 Instruction *Tentative = IDom->getTerminator(); 2883 for (SmallVectorImpl<Instruction *>::const_iterator I = Inputs.begin(), 2884 E = Inputs.end(); I != E; ++I) { 2885 Instruction *Inst = *I; 2886 if (Inst == Tentative || !DT.dominates(Inst, Tentative)) { 2887 AllDominate = false; 2888 break; 2889 } 2890 // Attempt to find an insert position in the middle of the block, 2891 // instead of at the end, so that it can be used for other expansions. 2892 if (IDom == Inst->getParent() && 2893 (!BetterPos || DT.dominates(BetterPos, Inst))) 2894 BetterPos = next(BasicBlock::iterator(Inst)); 2895 } 2896 if (!AllDominate) 2897 break; 2898 if (BetterPos) 2899 IP = BetterPos; 2900 else 2901 IP = Tentative; 2902 } 2903 2904 return IP; 2905 } 2906 2907 /// AdjustInsertPositionForExpand - Determine an input position which will be 2908 /// dominated by the operands and which will dominate the result. 2909 BasicBlock::iterator 2910 LSRInstance::AdjustInsertPositionForExpand(BasicBlock::iterator IP, 2911 const LSRFixup &LF, 2912 const LSRUse &LU) const { 2913 // Collect some instructions which must be dominated by the 2914 // expanding replacement. These must be dominated by any operands that 2915 // will be required in the expansion. 2916 SmallVector<Instruction *, 4> Inputs; 2917 if (Instruction *I = dyn_cast<Instruction>(LF.OperandValToReplace)) 2918 Inputs.push_back(I); 2919 if (LU.Kind == LSRUse::ICmpZero) 2920 if (Instruction *I = 2921 dyn_cast<Instruction>(cast<ICmpInst>(LF.UserInst)->getOperand(1))) 2922 Inputs.push_back(I); 2923 if (LF.PostIncLoops.count(L)) { 2924 if (LF.isUseFullyOutsideLoop(L)) 2925 Inputs.push_back(L->getLoopLatch()->getTerminator()); 2926 else 2927 Inputs.push_back(IVIncInsertPos); 2928 } 2929 // The expansion must also be dominated by the increment positions of any 2930 // loops it for which it is using post-inc mode. 2931 for (PostIncLoopSet::const_iterator I = LF.PostIncLoops.begin(), 2932 E = LF.PostIncLoops.end(); I != E; ++I) { 2933 const Loop *PIL = *I; 2934 if (PIL == L) continue; 2935 2936 // Be dominated by the loop exit. 2937 SmallVector<BasicBlock *, 4> ExitingBlocks; 2938 PIL->getExitingBlocks(ExitingBlocks); 2939 if (!ExitingBlocks.empty()) { 2940 BasicBlock *BB = ExitingBlocks[0]; 2941 for (unsigned i = 1, e = ExitingBlocks.size(); i != e; ++i) 2942 BB = DT.findNearestCommonDominator(BB, ExitingBlocks[i]); 2943 Inputs.push_back(BB->getTerminator()); 2944 } 2945 } 2946 2947 // Then, climb up the immediate dominator tree as far as we can go while 2948 // still being dominated by the input positions. 2949 IP = HoistInsertPosition(IP, Inputs); 2950 2951 // Don't insert instructions before PHI nodes. 2952 while (isa<PHINode>(IP)) ++IP; 2953 2954 // Ignore debug intrinsics. 2955 while (isa<DbgInfoIntrinsic>(IP)) ++IP; 2956 2957 return IP; 2958 } 2959 2960 Value *LSRInstance::Expand(const LSRFixup &LF, 2961 const Formula &F, 2962 BasicBlock::iterator IP, 2963 SCEVExpander &Rewriter, 2964 SmallVectorImpl<WeakVH> &DeadInsts) const { 2965 const LSRUse &LU = Uses[LF.LUIdx]; 2966 2967 // Determine an input position which will be dominated by the operands and 2968 // which will dominate the result. 2969 IP = AdjustInsertPositionForExpand(IP, LF, LU); 2970 2971 // Inform the Rewriter if we have a post-increment use, so that it can 2972 // perform an advantageous expansion. 2973 Rewriter.setPostInc(LF.PostIncLoops); 2974 2975 // This is the type that the user actually needs. 2976 const Type *OpTy = LF.OperandValToReplace->getType(); 2977 // This will be the type that we'll initially expand to. 2978 const Type *Ty = F.getType(); 2979 if (!Ty) 2980 // No type known; just expand directly to the ultimate type. 2981 Ty = OpTy; 2982 else if (SE.getEffectiveSCEVType(Ty) == SE.getEffectiveSCEVType(OpTy)) 2983 // Expand directly to the ultimate type if it's the right size. 2984 Ty = OpTy; 2985 // This is the type to do integer arithmetic in. 2986 const Type *IntTy = SE.getEffectiveSCEVType(Ty); 2987 2988 // Build up a list of operands to add together to form the full base. 2989 SmallVector<const SCEV *, 8> Ops; 2990 2991 // Expand the BaseRegs portion. 2992 for (SmallVectorImpl<const SCEV *>::const_iterator I = F.BaseRegs.begin(), 2993 E = F.BaseRegs.end(); I != E; ++I) { 2994 const SCEV *Reg = *I; 2995 assert(!Reg->isZero() && "Zero allocated in a base register!"); 2996 2997 // If we're expanding for a post-inc user, make the post-inc adjustment. 2998 PostIncLoopSet &Loops = const_cast<PostIncLoopSet &>(LF.PostIncLoops); 2999 Reg = TransformForPostIncUse(Denormalize, Reg, 3000 LF.UserInst, LF.OperandValToReplace, 3001 Loops, SE, DT); 3002 3003 Ops.push_back(SE.getUnknown(Rewriter.expandCodeFor(Reg, 0, IP))); 3004 } 3005 3006 // Flush the operand list to suppress SCEVExpander hoisting. 3007 if (!Ops.empty()) { 3008 Value *FullV = Rewriter.expandCodeFor(SE.getAddExpr(Ops), Ty, IP); 3009 Ops.clear(); 3010 Ops.push_back(SE.getUnknown(FullV)); 3011 } 3012 3013 // Expand the ScaledReg portion. 3014 Value *ICmpScaledV = 0; 3015 if (F.AM.Scale != 0) { 3016 const SCEV *ScaledS = F.ScaledReg; 3017 3018 // If we're expanding for a post-inc user, make the post-inc adjustment. 3019 PostIncLoopSet &Loops = const_cast<PostIncLoopSet &>(LF.PostIncLoops); 3020 ScaledS = TransformForPostIncUse(Denormalize, ScaledS, 3021 LF.UserInst, LF.OperandValToReplace, 3022 Loops, SE, DT); 3023 3024 if (LU.Kind == LSRUse::ICmpZero) { 3025 // An interesting way of "folding" with an icmp is to use a negated 3026 // scale, which we'll implement by inserting it into the other operand 3027 // of the icmp. 3028 assert(F.AM.Scale == -1 && 3029 "The only scale supported by ICmpZero uses is -1!"); 3030 ICmpScaledV = Rewriter.expandCodeFor(ScaledS, 0, IP); 3031 } else { 3032 // Otherwise just expand the scaled register and an explicit scale, 3033 // which is expected to be matched as part of the address. 3034 ScaledS = SE.getUnknown(Rewriter.expandCodeFor(ScaledS, 0, IP)); 3035 ScaledS = SE.getMulExpr(ScaledS, 3036 SE.getConstant(ScaledS->getType(), F.AM.Scale)); 3037 Ops.push_back(ScaledS); 3038 3039 // Flush the operand list to suppress SCEVExpander hoisting. 3040 Value *FullV = Rewriter.expandCodeFor(SE.getAddExpr(Ops), Ty, IP); 3041 Ops.clear(); 3042 Ops.push_back(SE.getUnknown(FullV)); 3043 } 3044 } 3045 3046 // Expand the GV portion. 3047 if (F.AM.BaseGV) { 3048 Ops.push_back(SE.getUnknown(F.AM.BaseGV)); 3049 3050 // Flush the operand list to suppress SCEVExpander hoisting. 3051 Value *FullV = Rewriter.expandCodeFor(SE.getAddExpr(Ops), Ty, IP); 3052 Ops.clear(); 3053 Ops.push_back(SE.getUnknown(FullV)); 3054 } 3055 3056 // Expand the immediate portion. 3057 int64_t Offset = (uint64_t)F.AM.BaseOffs + LF.Offset; 3058 if (Offset != 0) { 3059 if (LU.Kind == LSRUse::ICmpZero) { 3060 // The other interesting way of "folding" with an ICmpZero is to use a 3061 // negated immediate. 3062 if (!ICmpScaledV) 3063 ICmpScaledV = ConstantInt::get(IntTy, -Offset); 3064 else { 3065 Ops.push_back(SE.getUnknown(ICmpScaledV)); 3066 ICmpScaledV = ConstantInt::get(IntTy, Offset); 3067 } 3068 } else { 3069 // Just add the immediate values. These again are expected to be matched 3070 // as part of the address. 3071 Ops.push_back(SE.getUnknown(ConstantInt::getSigned(IntTy, Offset))); 3072 } 3073 } 3074 3075 // Emit instructions summing all the operands. 3076 const SCEV *FullS = Ops.empty() ? 3077 SE.getConstant(IntTy, 0) : 3078 SE.getAddExpr(Ops); 3079 Value *FullV = Rewriter.expandCodeFor(FullS, Ty, IP); 3080 3081 // We're done expanding now, so reset the rewriter. 3082 Rewriter.clearPostInc(); 3083 3084 // An ICmpZero Formula represents an ICmp which we're handling as a 3085 // comparison against zero. Now that we've expanded an expression for that 3086 // form, update the ICmp's other operand. 3087 if (LU.Kind == LSRUse::ICmpZero) { 3088 ICmpInst *CI = cast<ICmpInst>(LF.UserInst); 3089 DeadInsts.push_back(CI->getOperand(1)); 3090 assert(!F.AM.BaseGV && "ICmp does not support folding a global value and " 3091 "a scale at the same time!"); 3092 if (F.AM.Scale == -1) { 3093 if (ICmpScaledV->getType() != OpTy) { 3094 Instruction *Cast = 3095 CastInst::Create(CastInst::getCastOpcode(ICmpScaledV, false, 3096 OpTy, false), 3097 ICmpScaledV, OpTy, "tmp", CI); 3098 ICmpScaledV = Cast; 3099 } 3100 CI->setOperand(1, ICmpScaledV); 3101 } else { 3102 assert(F.AM.Scale == 0 && 3103 "ICmp does not support folding a global value and " 3104 "a scale at the same time!"); 3105 Constant *C = ConstantInt::getSigned(SE.getEffectiveSCEVType(OpTy), 3106 -(uint64_t)Offset); 3107 if (C->getType() != OpTy) 3108 C = ConstantExpr::getCast(CastInst::getCastOpcode(C, false, 3109 OpTy, false), 3110 C, OpTy); 3111 3112 CI->setOperand(1, C); 3113 } 3114 } 3115 3116 return FullV; 3117 } 3118 3119 /// RewriteForPHI - Helper for Rewrite. PHI nodes are special because the use 3120 /// of their operands effectively happens in their predecessor blocks, so the 3121 /// expression may need to be expanded in multiple places. 3122 void LSRInstance::RewriteForPHI(PHINode *PN, 3123 const LSRFixup &LF, 3124 const Formula &F, 3125 SCEVExpander &Rewriter, 3126 SmallVectorImpl<WeakVH> &DeadInsts, 3127 Pass *P) const { 3128 DenseMap<BasicBlock *, Value *> Inserted; 3129 for (unsigned i = 0, e = PN->getNumIncomingValues(); i != e; ++i) 3130 if (PN->getIncomingValue(i) == LF.OperandValToReplace) { 3131 BasicBlock *BB = PN->getIncomingBlock(i); 3132 3133 // If this is a critical edge, split the edge so that we do not insert 3134 // the code on all predecessor/successor paths. We do this unless this 3135 // is the canonical backedge for this loop, which complicates post-inc 3136 // users. 3137 if (e != 1 && BB->getTerminator()->getNumSuccessors() > 1 && 3138 !isa<IndirectBrInst>(BB->getTerminator()) && 3139 (PN->getParent() != L->getHeader() || !L->contains(BB))) { 3140 // Split the critical edge. 3141 BasicBlock *NewBB = SplitCriticalEdge(BB, PN->getParent(), P); 3142 3143 // If PN is outside of the loop and BB is in the loop, we want to 3144 // move the block to be immediately before the PHI block, not 3145 // immediately after BB. 3146 if (L->contains(BB) && !L->contains(PN)) 3147 NewBB->moveBefore(PN->getParent()); 3148 3149 // Splitting the edge can reduce the number of PHI entries we have. 3150 e = PN->getNumIncomingValues(); 3151 BB = NewBB; 3152 i = PN->getBasicBlockIndex(BB); 3153 } 3154 3155 std::pair<DenseMap<BasicBlock *, Value *>::iterator, bool> Pair = 3156 Inserted.insert(std::make_pair(BB, static_cast<Value *>(0))); 3157 if (!Pair.second) 3158 PN->setIncomingValue(i, Pair.first->second); 3159 else { 3160 Value *FullV = Expand(LF, F, BB->getTerminator(), Rewriter, DeadInsts); 3161 3162 // If this is reuse-by-noop-cast, insert the noop cast. 3163 const Type *OpTy = LF.OperandValToReplace->getType(); 3164 if (FullV->getType() != OpTy) 3165 FullV = 3166 CastInst::Create(CastInst::getCastOpcode(FullV, false, 3167 OpTy, false), 3168 FullV, LF.OperandValToReplace->getType(), 3169 "tmp", BB->getTerminator()); 3170 3171 PN->setIncomingValue(i, FullV); 3172 Pair.first->second = FullV; 3173 } 3174 } 3175 } 3176 3177 /// Rewrite - Emit instructions for the leading candidate expression for this 3178 /// LSRUse (this is called "expanding"), and update the UserInst to reference 3179 /// the newly expanded value. 3180 void LSRInstance::Rewrite(const LSRFixup &LF, 3181 const Formula &F, 3182 SCEVExpander &Rewriter, 3183 SmallVectorImpl<WeakVH> &DeadInsts, 3184 Pass *P) const { 3185 // First, find an insertion point that dominates UserInst. For PHI nodes, 3186 // find the nearest block which dominates all the relevant uses. 3187 if (PHINode *PN = dyn_cast<PHINode>(LF.UserInst)) { 3188 RewriteForPHI(PN, LF, F, Rewriter, DeadInsts, P); 3189 } else { 3190 Value *FullV = Expand(LF, F, LF.UserInst, Rewriter, DeadInsts); 3191 3192 // If this is reuse-by-noop-cast, insert the noop cast. 3193 const Type *OpTy = LF.OperandValToReplace->getType(); 3194 if (FullV->getType() != OpTy) { 3195 Instruction *Cast = 3196 CastInst::Create(CastInst::getCastOpcode(FullV, false, OpTy, false), 3197 FullV, OpTy, "tmp", LF.UserInst); 3198 FullV = Cast; 3199 } 3200 3201 // Update the user. ICmpZero is handled specially here (for now) because 3202 // Expand may have updated one of the operands of the icmp already, and 3203 // its new value may happen to be equal to LF.OperandValToReplace, in 3204 // which case doing replaceUsesOfWith leads to replacing both operands 3205 // with the same value. TODO: Reorganize this. 3206 if (Uses[LF.LUIdx].Kind == LSRUse::ICmpZero) 3207 LF.UserInst->setOperand(0, FullV); 3208 else 3209 LF.UserInst->replaceUsesOfWith(LF.OperandValToReplace, FullV); 3210 } 3211 3212 DeadInsts.push_back(LF.OperandValToReplace); 3213 } 3214 3215 void 3216 LSRInstance::ImplementSolution(const SmallVectorImpl<const Formula *> &Solution, 3217 Pass *P) { 3218 // Keep track of instructions we may have made dead, so that 3219 // we can remove them after we are done working. 3220 SmallVector<WeakVH, 16> DeadInsts; 3221 3222 SCEVExpander Rewriter(SE); 3223 Rewriter.disableCanonicalMode(); 3224 Rewriter.setIVIncInsertPos(L, IVIncInsertPos); 3225 3226 // Expand the new value definitions and update the users. 3227 for (size_t i = 0, e = Fixups.size(); i != e; ++i) { 3228 size_t LUIdx = Fixups[i].LUIdx; 3229 3230 Rewrite(Fixups[i], *Solution[LUIdx], Rewriter, DeadInsts, P); 3231 3232 Changed = true; 3233 } 3234 3235 // Clean up after ourselves. This must be done before deleting any 3236 // instructions. 3237 Rewriter.clear(); 3238 3239 Changed |= DeleteTriviallyDeadInstructions(DeadInsts); 3240 } 3241 3242 LSRInstance::LSRInstance(const TargetLowering *tli, Loop *l, Pass *P) 3243 : IU(P->getAnalysis<IVUsers>()), 3244 SE(P->getAnalysis<ScalarEvolution>()), 3245 DT(P->getAnalysis<DominatorTree>()), 3246 LI(P->getAnalysis<LoopInfo>()), 3247 TLI(tli), L(l), Changed(false), IVIncInsertPos(0) { 3248 3249 // If LoopSimplify form is not available, stay out of trouble. 3250 if (!L->isLoopSimplifyForm()) return; 3251 3252 // If there's no interesting work to be done, bail early. 3253 if (IU.empty()) return; 3254 3255 DEBUG(dbgs() << "\nLSR on loop "; 3256 WriteAsOperand(dbgs(), L->getHeader(), /*PrintType=*/false); 3257 dbgs() << ":\n"); 3258 3259 /// OptimizeShadowIV - If IV is used in a int-to-float cast 3260 /// inside the loop then try to eliminate the cast operation. 3261 OptimizeShadowIV(); 3262 3263 // Change loop terminating condition to use the postinc iv when possible. 3264 Changed |= OptimizeLoopTermCond(); 3265 3266 CollectInterestingTypesAndFactors(); 3267 CollectFixupsAndInitialFormulae(); 3268 CollectLoopInvariantFixupsAndFormulae(); 3269 3270 DEBUG(dbgs() << "LSR found " << Uses.size() << " uses:\n"; 3271 print_uses(dbgs())); 3272 3273 // Now use the reuse data to generate a bunch of interesting ways 3274 // to formulate the values needed for the uses. 3275 GenerateAllReuseFormulae(); 3276 3277 DEBUG(dbgs() << "\n" 3278 "After generating reuse formulae:\n"; 3279 print_uses(dbgs())); 3280 3281 FilterOutUndesirableDedicatedRegisters(); 3282 NarrowSearchSpaceUsingHeuristics(); 3283 3284 SmallVector<const Formula *, 8> Solution; 3285 Solve(Solution); 3286 assert(Solution.size() == Uses.size() && "Malformed solution!"); 3287 3288 // Release memory that is no longer needed. 3289 Factors.clear(); 3290 Types.clear(); 3291 RegUses.clear(); 3292 3293 #ifndef NDEBUG 3294 // Formulae should be legal. 3295 for (SmallVectorImpl<LSRUse>::const_iterator I = Uses.begin(), 3296 E = Uses.end(); I != E; ++I) { 3297 const LSRUse &LU = *I; 3298 for (SmallVectorImpl<Formula>::const_iterator J = LU.Formulae.begin(), 3299 JE = LU.Formulae.end(); J != JE; ++J) 3300 assert(isLegalUse(J->AM, LU.MinOffset, LU.MaxOffset, 3301 LU.Kind, LU.AccessTy, TLI) && 3302 "Illegal formula generated!"); 3303 }; 3304 #endif 3305 3306 // Now that we've decided what we want, make it so. 3307 ImplementSolution(Solution, P); 3308 } 3309 3310 void LSRInstance::print_factors_and_types(raw_ostream &OS) const { 3311 if (Factors.empty() && Types.empty()) return; 3312 3313 OS << "LSR has identified the following interesting factors and types: "; 3314 bool First = true; 3315 3316 for (SmallSetVector<int64_t, 8>::const_iterator 3317 I = Factors.begin(), E = Factors.end(); I != E; ++I) { 3318 if (!First) OS << ", "; 3319 First = false; 3320 OS << '*' << *I; 3321 } 3322 3323 for (SmallSetVector<const Type *, 4>::const_iterator 3324 I = Types.begin(), E = Types.end(); I != E; ++I) { 3325 if (!First) OS << ", "; 3326 First = false; 3327 OS << '(' << **I << ')'; 3328 } 3329 OS << '\n'; 3330 } 3331 3332 void LSRInstance::print_fixups(raw_ostream &OS) const { 3333 OS << "LSR is examining the following fixup sites:\n"; 3334 for (SmallVectorImpl<LSRFixup>::const_iterator I = Fixups.begin(), 3335 E = Fixups.end(); I != E; ++I) { 3336 const LSRFixup &LF = *I; 3337 dbgs() << " "; 3338 LF.print(OS); 3339 OS << '\n'; 3340 } 3341 } 3342 3343 void LSRInstance::print_uses(raw_ostream &OS) const { 3344 OS << "LSR is examining the following uses:\n"; 3345 for (SmallVectorImpl<LSRUse>::const_iterator I = Uses.begin(), 3346 E = Uses.end(); I != E; ++I) { 3347 const LSRUse &LU = *I; 3348 dbgs() << " "; 3349 LU.print(OS); 3350 OS << '\n'; 3351 for (SmallVectorImpl<Formula>::const_iterator J = LU.Formulae.begin(), 3352 JE = LU.Formulae.end(); J != JE; ++J) { 3353 OS << " "; 3354 J->print(OS); 3355 OS << '\n'; 3356 } 3357 } 3358 } 3359 3360 void LSRInstance::print(raw_ostream &OS) const { 3361 print_factors_and_types(OS); 3362 print_fixups(OS); 3363 print_uses(OS); 3364 } 3365 3366 void LSRInstance::dump() const { 3367 print(errs()); errs() << '\n'; 3368 } 3369 3370 namespace { 3371 3372 class LoopStrengthReduce : public LoopPass { 3373 /// TLI - Keep a pointer of a TargetLowering to consult for determining 3374 /// transformation profitability. 3375 const TargetLowering *const TLI; 3376 3377 public: 3378 static char ID; // Pass ID, replacement for typeid 3379 explicit LoopStrengthReduce(const TargetLowering *tli = 0); 3380 3381 private: 3382 bool runOnLoop(Loop *L, LPPassManager &LPM); 3383 void getAnalysisUsage(AnalysisUsage &AU) const; 3384 }; 3385 3386 } 3387 3388 char LoopStrengthReduce::ID = 0; 3389 static RegisterPass<LoopStrengthReduce> 3390 X("loop-reduce", "Loop Strength Reduction"); 3391 3392 Pass *llvm::createLoopStrengthReducePass(const TargetLowering *TLI) { 3393 return new LoopStrengthReduce(TLI); 3394 } 3395 3396 LoopStrengthReduce::LoopStrengthReduce(const TargetLowering *tli) 3397 : LoopPass(&ID), TLI(tli) {} 3398 3399 void LoopStrengthReduce::getAnalysisUsage(AnalysisUsage &AU) const { 3400 // We split critical edges, so we change the CFG. However, we do update 3401 // many analyses if they are around. 3402 AU.addPreservedID(LoopSimplifyID); 3403 AU.addPreserved("domfrontier"); 3404 3405 AU.addRequired<LoopInfo>(); 3406 AU.addPreserved<LoopInfo>(); 3407 AU.addRequiredID(LoopSimplifyID); 3408 AU.addRequired<DominatorTree>(); 3409 AU.addPreserved<DominatorTree>(); 3410 AU.addRequired<ScalarEvolution>(); 3411 AU.addPreserved<ScalarEvolution>(); 3412 AU.addRequired<IVUsers>(); 3413 AU.addPreserved<IVUsers>(); 3414 } 3415 3416 bool LoopStrengthReduce::runOnLoop(Loop *L, LPPassManager & /*LPM*/) { 3417 bool Changed = false; 3418 3419 // Run the main LSR transformation. 3420 Changed |= LSRInstance(TLI, L, this).getChanged(); 3421 3422 // At this point, it is worth checking to see if any recurrence PHIs are also 3423 // dead, so that we can remove them as well. 3424 Changed |= DeleteDeadPHIs(L->getHeader()); 3425 3426 return Changed; 3427 } 3428