1 //===- SLPVectorizer.cpp - A bottom up SLP Vectorizer ---------------------===// 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 // This pass implements the Bottom Up SLP vectorizer. It detects consecutive 10 // stores that can be put together into vector-stores. Next, it attempts to 11 // construct vectorizable tree using the use-def chains. If a profitable tree 12 // was found, the SLP vectorizer performs vectorization on the tree. 13 // 14 // The pass is inspired by the work described in the paper: 15 // "Loop-Aware SLP in GCC" by Ira Rosen, Dorit Nuzman, Ayal Zaks. 16 // 17 //===----------------------------------------------------------------------===// 18 #define SV_NAME "slp-vectorizer" 19 #define DEBUG_TYPE "SLP" 20 21 #include "llvm/Transforms/Vectorize.h" 22 #include "llvm/ADT/MapVector.h" 23 #include "llvm/ADT/PostOrderIterator.h" 24 #include "llvm/ADT/SetVector.h" 25 #include "llvm/Analysis/AliasAnalysis.h" 26 #include "llvm/Analysis/LoopInfo.h" 27 #include "llvm/Analysis/ScalarEvolution.h" 28 #include "llvm/Analysis/ScalarEvolutionExpressions.h" 29 #include "llvm/Analysis/TargetTransformInfo.h" 30 #include "llvm/Analysis/ValueTracking.h" 31 #include "llvm/IR/DataLayout.h" 32 #include "llvm/IR/Dominators.h" 33 #include "llvm/IR/IRBuilder.h" 34 #include "llvm/IR/Instructions.h" 35 #include "llvm/IR/IntrinsicInst.h" 36 #include "llvm/IR/Module.h" 37 #include "llvm/IR/Type.h" 38 #include "llvm/IR/Value.h" 39 #include "llvm/IR/Verifier.h" 40 #include "llvm/Pass.h" 41 #include "llvm/Support/CommandLine.h" 42 #include "llvm/Support/Debug.h" 43 #include "llvm/Support/raw_ostream.h" 44 #include <algorithm> 45 #include <map> 46 47 using namespace llvm; 48 49 static cl::opt<int> 50 SLPCostThreshold("slp-threshold", cl::init(0), cl::Hidden, 51 cl::desc("Only vectorize if you gain more than this " 52 "number ")); 53 54 static cl::opt<bool> 55 ShouldVectorizeHor("slp-vectorize-hor", cl::init(false), cl::Hidden, 56 cl::desc("Attempt to vectorize horizontal reductions")); 57 58 static cl::opt<bool> ShouldStartVectorizeHorAtStore( 59 "slp-vectorize-hor-store", cl::init(false), cl::Hidden, 60 cl::desc( 61 "Attempt to vectorize horizontal reductions feeding into a store")); 62 63 namespace { 64 65 static const unsigned MinVecRegSize = 128; 66 67 static const unsigned RecursionMaxDepth = 12; 68 69 /// A helper class for numbering instructions in multiple blocks. 70 /// Numbers start at zero for each basic block. 71 struct BlockNumbering { 72 73 BlockNumbering(BasicBlock *Bb) : BB(Bb), Valid(false) {} 74 75 BlockNumbering() : BB(0), Valid(false) {} 76 77 void numberInstructions() { 78 unsigned Loc = 0; 79 InstrIdx.clear(); 80 InstrVec.clear(); 81 // Number the instructions in the block. 82 for (BasicBlock::iterator it = BB->begin(), e = BB->end(); it != e; ++it) { 83 InstrIdx[it] = Loc++; 84 InstrVec.push_back(it); 85 assert(InstrVec[InstrIdx[it]] == it && "Invalid allocation"); 86 } 87 Valid = true; 88 } 89 90 int getIndex(Instruction *I) { 91 assert(I->getParent() == BB && "Invalid instruction"); 92 if (!Valid) 93 numberInstructions(); 94 assert(InstrIdx.count(I) && "Unknown instruction"); 95 return InstrIdx[I]; 96 } 97 98 Instruction *getInstruction(unsigned loc) { 99 if (!Valid) 100 numberInstructions(); 101 assert(InstrVec.size() > loc && "Invalid Index"); 102 return InstrVec[loc]; 103 } 104 105 void forget() { Valid = false; } 106 107 private: 108 /// The block we are numbering. 109 BasicBlock *BB; 110 /// Is the block numbered. 111 bool Valid; 112 /// Maps instructions to numbers and back. 113 SmallDenseMap<Instruction *, int> InstrIdx; 114 /// Maps integers to Instructions. 115 SmallVector<Instruction *, 32> InstrVec; 116 }; 117 118 /// \returns the parent basic block if all of the instructions in \p VL 119 /// are in the same block or null otherwise. 120 static BasicBlock *getSameBlock(ArrayRef<Value *> VL) { 121 Instruction *I0 = dyn_cast<Instruction>(VL[0]); 122 if (!I0) 123 return 0; 124 BasicBlock *BB = I0->getParent(); 125 for (int i = 1, e = VL.size(); i < e; i++) { 126 Instruction *I = dyn_cast<Instruction>(VL[i]); 127 if (!I) 128 return 0; 129 130 if (BB != I->getParent()) 131 return 0; 132 } 133 return BB; 134 } 135 136 /// \returns True if all of the values in \p VL are constants. 137 static bool allConstant(ArrayRef<Value *> VL) { 138 for (unsigned i = 0, e = VL.size(); i < e; ++i) 139 if (!isa<Constant>(VL[i])) 140 return false; 141 return true; 142 } 143 144 /// \returns True if all of the values in \p VL are identical. 145 static bool isSplat(ArrayRef<Value *> VL) { 146 for (unsigned i = 1, e = VL.size(); i < e; ++i) 147 if (VL[i] != VL[0]) 148 return false; 149 return true; 150 } 151 152 /// \returns The opcode if all of the Instructions in \p VL have the same 153 /// opcode, or zero. 154 static unsigned getSameOpcode(ArrayRef<Value *> VL) { 155 Instruction *I0 = dyn_cast<Instruction>(VL[0]); 156 if (!I0) 157 return 0; 158 unsigned Opcode = I0->getOpcode(); 159 for (int i = 1, e = VL.size(); i < e; i++) { 160 Instruction *I = dyn_cast<Instruction>(VL[i]); 161 if (!I || Opcode != I->getOpcode()) 162 return 0; 163 } 164 return Opcode; 165 } 166 167 /// \returns \p I after propagating metadata from \p VL. 168 static Instruction *propagateMetadata(Instruction *I, ArrayRef<Value *> VL) { 169 Instruction *I0 = cast<Instruction>(VL[0]); 170 SmallVector<std::pair<unsigned, MDNode *>, 4> Metadata; 171 I0->getAllMetadataOtherThanDebugLoc(Metadata); 172 173 for (unsigned i = 0, n = Metadata.size(); i != n; ++i) { 174 unsigned Kind = Metadata[i].first; 175 MDNode *MD = Metadata[i].second; 176 177 for (int i = 1, e = VL.size(); MD && i != e; i++) { 178 Instruction *I = cast<Instruction>(VL[i]); 179 MDNode *IMD = I->getMetadata(Kind); 180 181 switch (Kind) { 182 default: 183 MD = 0; // Remove unknown metadata 184 break; 185 case LLVMContext::MD_tbaa: 186 MD = MDNode::getMostGenericTBAA(MD, IMD); 187 break; 188 case LLVMContext::MD_fpmath: 189 MD = MDNode::getMostGenericFPMath(MD, IMD); 190 break; 191 } 192 } 193 I->setMetadata(Kind, MD); 194 } 195 return I; 196 } 197 198 /// \returns The type that all of the values in \p VL have or null if there 199 /// are different types. 200 static Type* getSameType(ArrayRef<Value *> VL) { 201 Type *Ty = VL[0]->getType(); 202 for (int i = 1, e = VL.size(); i < e; i++) 203 if (VL[i]->getType() != Ty) 204 return 0; 205 206 return Ty; 207 } 208 209 /// \returns True if the ExtractElement instructions in VL can be vectorized 210 /// to use the original vector. 211 static bool CanReuseExtract(ArrayRef<Value *> VL) { 212 assert(Instruction::ExtractElement == getSameOpcode(VL) && "Invalid opcode"); 213 // Check if all of the extracts come from the same vector and from the 214 // correct offset. 215 Value *VL0 = VL[0]; 216 ExtractElementInst *E0 = cast<ExtractElementInst>(VL0); 217 Value *Vec = E0->getOperand(0); 218 219 // We have to extract from the same vector type. 220 unsigned NElts = Vec->getType()->getVectorNumElements(); 221 222 if (NElts != VL.size()) 223 return false; 224 225 // Check that all of the indices extract from the correct offset. 226 ConstantInt *CI = dyn_cast<ConstantInt>(E0->getOperand(1)); 227 if (!CI || CI->getZExtValue()) 228 return false; 229 230 for (unsigned i = 1, e = VL.size(); i < e; ++i) { 231 ExtractElementInst *E = cast<ExtractElementInst>(VL[i]); 232 ConstantInt *CI = dyn_cast<ConstantInt>(E->getOperand(1)); 233 234 if (!CI || CI->getZExtValue() != i || E->getOperand(0) != Vec) 235 return false; 236 } 237 238 return true; 239 } 240 241 static void reorderInputsAccordingToOpcode(ArrayRef<Value *> VL, 242 SmallVectorImpl<Value *> &Left, 243 SmallVectorImpl<Value *> &Right) { 244 245 SmallVector<Value *, 16> OrigLeft, OrigRight; 246 247 bool AllSameOpcodeLeft = true; 248 bool AllSameOpcodeRight = true; 249 for (unsigned i = 0, e = VL.size(); i != e; ++i) { 250 Instruction *I = cast<Instruction>(VL[i]); 251 Value *V0 = I->getOperand(0); 252 Value *V1 = I->getOperand(1); 253 254 OrigLeft.push_back(V0); 255 OrigRight.push_back(V1); 256 257 Instruction *I0 = dyn_cast<Instruction>(V0); 258 Instruction *I1 = dyn_cast<Instruction>(V1); 259 260 // Check whether all operands on one side have the same opcode. In this case 261 // we want to preserve the original order and not make things worse by 262 // reordering. 263 AllSameOpcodeLeft = I0; 264 AllSameOpcodeRight = I1; 265 266 if (i && AllSameOpcodeLeft) { 267 if(Instruction *P0 = dyn_cast<Instruction>(OrigLeft[i-1])) { 268 if(P0->getOpcode() != I0->getOpcode()) 269 AllSameOpcodeLeft = false; 270 } else 271 AllSameOpcodeLeft = false; 272 } 273 if (i && AllSameOpcodeRight) { 274 if(Instruction *P1 = dyn_cast<Instruction>(OrigRight[i-1])) { 275 if(P1->getOpcode() != I1->getOpcode()) 276 AllSameOpcodeRight = false; 277 } else 278 AllSameOpcodeRight = false; 279 } 280 281 // Sort two opcodes. In the code below we try to preserve the ability to use 282 // broadcast of values instead of individual inserts. 283 // vl1 = load 284 // vl2 = phi 285 // vr1 = load 286 // vr2 = vr2 287 // = vl1 x vr1 288 // = vl2 x vr2 289 // If we just sorted according to opcode we would leave the first line in 290 // tact but we would swap vl2 with vr2 because opcode(phi) > opcode(load). 291 // = vl1 x vr1 292 // = vr2 x vl2 293 // Because vr2 and vr1 are from the same load we loose the opportunity of a 294 // broadcast for the packed right side in the backend: we have [vr1, vl2] 295 // instead of [vr1, vr2=vr1]. 296 if (I0 && I1) { 297 if(!i && I0->getOpcode() > I1->getOpcode()) { 298 Left.push_back(I1); 299 Right.push_back(I0); 300 } else if (i && I0->getOpcode() > I1->getOpcode() && Right[i-1] != I1) { 301 // Try not to destroy a broad cast for no apparent benefit. 302 Left.push_back(I1); 303 Right.push_back(I0); 304 } else if (i && I0->getOpcode() == I1->getOpcode() && Right[i-1] == I0) { 305 // Try preserve broadcasts. 306 Left.push_back(I1); 307 Right.push_back(I0); 308 } else if (i && I0->getOpcode() == I1->getOpcode() && Left[i-1] == I1) { 309 // Try preserve broadcasts. 310 Left.push_back(I1); 311 Right.push_back(I0); 312 } else { 313 Left.push_back(I0); 314 Right.push_back(I1); 315 } 316 continue; 317 } 318 // One opcode, put the instruction on the right. 319 if (I0) { 320 Left.push_back(V1); 321 Right.push_back(I0); 322 continue; 323 } 324 Left.push_back(V0); 325 Right.push_back(V1); 326 } 327 328 bool LeftBroadcast = isSplat(Left); 329 bool RightBroadcast = isSplat(Right); 330 331 // Don't reorder if the operands where good to begin with. 332 if (!(LeftBroadcast || RightBroadcast) && 333 (AllSameOpcodeRight || AllSameOpcodeLeft)) { 334 Left = OrigLeft; 335 Right = OrigRight; 336 } 337 } 338 339 /// Bottom Up SLP Vectorizer. 340 class BoUpSLP { 341 public: 342 typedef SmallVector<Value *, 8> ValueList; 343 typedef SmallVector<Instruction *, 16> InstrList; 344 typedef SmallPtrSet<Value *, 16> ValueSet; 345 typedef SmallVector<StoreInst *, 8> StoreList; 346 347 BoUpSLP(Function *Func, ScalarEvolution *Se, DataLayout *Dl, 348 TargetTransformInfo *Tti, AliasAnalysis *Aa, LoopInfo *Li, 349 DominatorTree *Dt) : 350 F(Func), SE(Se), DL(Dl), TTI(Tti), AA(Aa), LI(Li), DT(Dt), 351 Builder(Se->getContext()) { 352 // Setup the block numbering utility for all of the blocks in the 353 // function. 354 for (Function::iterator it = F->begin(), e = F->end(); it != e; ++it) { 355 BasicBlock *BB = it; 356 BlocksNumbers[BB] = BlockNumbering(BB); 357 } 358 } 359 360 /// \brief Vectorize the tree that starts with the elements in \p VL. 361 /// Returns the vectorized root. 362 Value *vectorizeTree(); 363 364 /// \returns the vectorization cost of the subtree that starts at \p VL. 365 /// A negative number means that this is profitable. 366 int getTreeCost(); 367 368 /// Construct a vectorizable tree that starts at \p Roots and is possibly 369 /// used by a reduction of \p RdxOps. 370 void buildTree(ArrayRef<Value *> Roots, ValueSet *RdxOps = 0); 371 372 /// Clear the internal data structures that are created by 'buildTree'. 373 void deleteTree() { 374 RdxOps = 0; 375 VectorizableTree.clear(); 376 ScalarToTreeEntry.clear(); 377 MustGather.clear(); 378 ExternalUses.clear(); 379 MemBarrierIgnoreList.clear(); 380 } 381 382 /// \returns true if the memory operations A and B are consecutive. 383 bool isConsecutiveAccess(Value *A, Value *B); 384 385 /// \brief Perform LICM and CSE on the newly generated gather sequences. 386 void optimizeGatherSequence(); 387 private: 388 struct TreeEntry; 389 390 /// \returns the cost of the vectorizable entry. 391 int getEntryCost(TreeEntry *E); 392 393 /// This is the recursive part of buildTree. 394 void buildTree_rec(ArrayRef<Value *> Roots, unsigned Depth); 395 396 /// Vectorize a single entry in the tree. 397 Value *vectorizeTree(TreeEntry *E); 398 399 /// Vectorize a single entry in the tree, starting in \p VL. 400 Value *vectorizeTree(ArrayRef<Value *> VL); 401 402 /// \returns the pointer to the vectorized value if \p VL is already 403 /// vectorized, or NULL. They may happen in cycles. 404 Value *alreadyVectorized(ArrayRef<Value *> VL) const; 405 406 /// \brief Take the pointer operand from the Load/Store instruction. 407 /// \returns NULL if this is not a valid Load/Store instruction. 408 static Value *getPointerOperand(Value *I); 409 410 /// \brief Take the address space operand from the Load/Store instruction. 411 /// \returns -1 if this is not a valid Load/Store instruction. 412 static unsigned getAddressSpaceOperand(Value *I); 413 414 /// \returns the scalarization cost for this type. Scalarization in this 415 /// context means the creation of vectors from a group of scalars. 416 int getGatherCost(Type *Ty); 417 418 /// \returns the scalarization cost for this list of values. Assuming that 419 /// this subtree gets vectorized, we may need to extract the values from the 420 /// roots. This method calculates the cost of extracting the values. 421 int getGatherCost(ArrayRef<Value *> VL); 422 423 /// \returns the AA location that is being access by the instruction. 424 AliasAnalysis::Location getLocation(Instruction *I); 425 426 /// \brief Checks if it is possible to sink an instruction from 427 /// \p Src to \p Dst. 428 /// \returns the pointer to the barrier instruction if we can't sink. 429 Value *getSinkBarrier(Instruction *Src, Instruction *Dst); 430 431 /// \returns the index of the last instruction in the BB from \p VL. 432 int getLastIndex(ArrayRef<Value *> VL); 433 434 /// \returns the Instruction in the bundle \p VL. 435 Instruction *getLastInstruction(ArrayRef<Value *> VL); 436 437 /// \brief Set the Builder insert point to one after the last instruction in 438 /// the bundle 439 void setInsertPointAfterBundle(ArrayRef<Value *> VL); 440 441 /// \returns a vector from a collection of scalars in \p VL. 442 Value *Gather(ArrayRef<Value *> VL, VectorType *Ty); 443 444 /// \returns whether the VectorizableTree is fully vectoriable and will 445 /// be beneficial even the tree height is tiny. 446 bool isFullyVectorizableTinyTree(); 447 448 struct TreeEntry { 449 TreeEntry() : Scalars(), VectorizedValue(0), LastScalarIndex(0), 450 NeedToGather(0) {} 451 452 /// \returns true if the scalars in VL are equal to this entry. 453 bool isSame(ArrayRef<Value *> VL) const { 454 assert(VL.size() == Scalars.size() && "Invalid size"); 455 return std::equal(VL.begin(), VL.end(), Scalars.begin()); 456 } 457 458 /// A vector of scalars. 459 ValueList Scalars; 460 461 /// The Scalars are vectorized into this value. It is initialized to Null. 462 Value *VectorizedValue; 463 464 /// The index in the basic block of the last scalar. 465 int LastScalarIndex; 466 467 /// Do we need to gather this sequence ? 468 bool NeedToGather; 469 }; 470 471 /// Create a new VectorizableTree entry. 472 TreeEntry *newTreeEntry(ArrayRef<Value *> VL, bool Vectorized) { 473 VectorizableTree.push_back(TreeEntry()); 474 int idx = VectorizableTree.size() - 1; 475 TreeEntry *Last = &VectorizableTree[idx]; 476 Last->Scalars.insert(Last->Scalars.begin(), VL.begin(), VL.end()); 477 Last->NeedToGather = !Vectorized; 478 if (Vectorized) { 479 Last->LastScalarIndex = getLastIndex(VL); 480 for (int i = 0, e = VL.size(); i != e; ++i) { 481 assert(!ScalarToTreeEntry.count(VL[i]) && "Scalar already in tree!"); 482 ScalarToTreeEntry[VL[i]] = idx; 483 } 484 } else { 485 Last->LastScalarIndex = 0; 486 MustGather.insert(VL.begin(), VL.end()); 487 } 488 return Last; 489 } 490 491 /// -- Vectorization State -- 492 /// Holds all of the tree entries. 493 std::vector<TreeEntry> VectorizableTree; 494 495 /// Maps a specific scalar to its tree entry. 496 SmallDenseMap<Value*, int> ScalarToTreeEntry; 497 498 /// A list of scalars that we found that we need to keep as scalars. 499 ValueSet MustGather; 500 501 /// This POD struct describes one external user in the vectorized tree. 502 struct ExternalUser { 503 ExternalUser (Value *S, llvm::User *U, int L) : 504 Scalar(S), User(U), Lane(L){}; 505 // Which scalar in our function. 506 Value *Scalar; 507 // Which user that uses the scalar. 508 llvm::User *User; 509 // Which lane does the scalar belong to. 510 int Lane; 511 }; 512 typedef SmallVector<ExternalUser, 16> UserList; 513 514 /// A list of values that need to extracted out of the tree. 515 /// This list holds pairs of (Internal Scalar : External User). 516 UserList ExternalUses; 517 518 /// A list of instructions to ignore while sinking 519 /// memory instructions. This map must be reset between runs of getCost. 520 ValueSet MemBarrierIgnoreList; 521 522 /// Holds all of the instructions that we gathered. 523 SetVector<Instruction *> GatherSeq; 524 /// A list of blocks that we are going to CSE. 525 SetVector<BasicBlock *> CSEBlocks; 526 527 /// Numbers instructions in different blocks. 528 DenseMap<BasicBlock *, BlockNumbering> BlocksNumbers; 529 530 /// Reduction operators. 531 ValueSet *RdxOps; 532 533 // Analysis and block reference. 534 Function *F; 535 ScalarEvolution *SE; 536 DataLayout *DL; 537 TargetTransformInfo *TTI; 538 AliasAnalysis *AA; 539 LoopInfo *LI; 540 DominatorTree *DT; 541 /// Instruction builder to construct the vectorized tree. 542 IRBuilder<> Builder; 543 }; 544 545 void BoUpSLP::buildTree(ArrayRef<Value *> Roots, ValueSet *Rdx) { 546 deleteTree(); 547 RdxOps = Rdx; 548 if (!getSameType(Roots)) 549 return; 550 buildTree_rec(Roots, 0); 551 552 // Collect the values that we need to extract from the tree. 553 for (int EIdx = 0, EE = VectorizableTree.size(); EIdx < EE; ++EIdx) { 554 TreeEntry *Entry = &VectorizableTree[EIdx]; 555 556 // For each lane: 557 for (int Lane = 0, LE = Entry->Scalars.size(); Lane != LE; ++Lane) { 558 Value *Scalar = Entry->Scalars[Lane]; 559 560 // No need to handle users of gathered values. 561 if (Entry->NeedToGather) 562 continue; 563 564 for (Value::use_iterator User = Scalar->use_begin(), 565 UE = Scalar->use_end(); User != UE; ++User) { 566 DEBUG(dbgs() << "SLP: Checking user:" << **User << ".\n"); 567 568 // Skip in-tree scalars that become vectors. 569 if (ScalarToTreeEntry.count(*User)) { 570 DEBUG(dbgs() << "SLP: \tInternal user will be removed:" << 571 **User << ".\n"); 572 int Idx = ScalarToTreeEntry[*User]; (void) Idx; 573 assert(!VectorizableTree[Idx].NeedToGather && "Bad state"); 574 continue; 575 } 576 Instruction *UserInst = dyn_cast<Instruction>(*User); 577 if (!UserInst) 578 continue; 579 580 // Ignore uses that are part of the reduction. 581 if (Rdx && std::find(Rdx->begin(), Rdx->end(), UserInst) != Rdx->end()) 582 continue; 583 584 DEBUG(dbgs() << "SLP: Need to extract:" << **User << " from lane " << 585 Lane << " from " << *Scalar << ".\n"); 586 ExternalUses.push_back(ExternalUser(Scalar, *User, Lane)); 587 } 588 } 589 } 590 } 591 592 593 void BoUpSLP::buildTree_rec(ArrayRef<Value *> VL, unsigned Depth) { 594 bool SameTy = getSameType(VL); (void)SameTy; 595 assert(SameTy && "Invalid types!"); 596 597 if (Depth == RecursionMaxDepth) { 598 DEBUG(dbgs() << "SLP: Gathering due to max recursion depth.\n"); 599 newTreeEntry(VL, false); 600 return; 601 } 602 603 // Don't handle vectors. 604 if (VL[0]->getType()->isVectorTy()) { 605 DEBUG(dbgs() << "SLP: Gathering due to vector type.\n"); 606 newTreeEntry(VL, false); 607 return; 608 } 609 610 if (StoreInst *SI = dyn_cast<StoreInst>(VL[0])) 611 if (SI->getValueOperand()->getType()->isVectorTy()) { 612 DEBUG(dbgs() << "SLP: Gathering due to store vector type.\n"); 613 newTreeEntry(VL, false); 614 return; 615 } 616 617 // If all of the operands are identical or constant we have a simple solution. 618 if (allConstant(VL) || isSplat(VL) || !getSameBlock(VL) || 619 !getSameOpcode(VL)) { 620 DEBUG(dbgs() << "SLP: Gathering due to C,S,B,O. \n"); 621 newTreeEntry(VL, false); 622 return; 623 } 624 625 // We now know that this is a vector of instructions of the same type from 626 // the same block. 627 628 // Check if this is a duplicate of another entry. 629 if (ScalarToTreeEntry.count(VL[0])) { 630 int Idx = ScalarToTreeEntry[VL[0]]; 631 TreeEntry *E = &VectorizableTree[Idx]; 632 for (unsigned i = 0, e = VL.size(); i != e; ++i) { 633 DEBUG(dbgs() << "SLP: \tChecking bundle: " << *VL[i] << ".\n"); 634 if (E->Scalars[i] != VL[i]) { 635 DEBUG(dbgs() << "SLP: Gathering due to partial overlap.\n"); 636 newTreeEntry(VL, false); 637 return; 638 } 639 } 640 DEBUG(dbgs() << "SLP: Perfect diamond merge at " << *VL[0] << ".\n"); 641 return; 642 } 643 644 // Check that none of the instructions in the bundle are already in the tree. 645 for (unsigned i = 0, e = VL.size(); i != e; ++i) { 646 if (ScalarToTreeEntry.count(VL[i])) { 647 DEBUG(dbgs() << "SLP: The instruction (" << *VL[i] << 648 ") is already in tree.\n"); 649 newTreeEntry(VL, false); 650 return; 651 } 652 } 653 654 // If any of the scalars appears in the table OR it is marked as a value that 655 // needs to stat scalar then we need to gather the scalars. 656 for (unsigned i = 0, e = VL.size(); i != e; ++i) { 657 if (ScalarToTreeEntry.count(VL[i]) || MustGather.count(VL[i])) { 658 DEBUG(dbgs() << "SLP: Gathering due to gathered scalar. \n"); 659 newTreeEntry(VL, false); 660 return; 661 } 662 } 663 664 // Check that all of the users of the scalars that we want to vectorize are 665 // schedulable. 666 Instruction *VL0 = cast<Instruction>(VL[0]); 667 int MyLastIndex = getLastIndex(VL); 668 BasicBlock *BB = cast<Instruction>(VL0)->getParent(); 669 670 for (unsigned i = 0, e = VL.size(); i != e; ++i) { 671 Instruction *Scalar = cast<Instruction>(VL[i]); 672 DEBUG(dbgs() << "SLP: Checking users of " << *Scalar << ". \n"); 673 for (Value::use_iterator U = Scalar->use_begin(), UE = Scalar->use_end(); 674 U != UE; ++U) { 675 DEBUG(dbgs() << "SLP: \tUser " << **U << ". \n"); 676 Instruction *User = dyn_cast<Instruction>(*U); 677 if (!User) { 678 DEBUG(dbgs() << "SLP: Gathering due unknown user. \n"); 679 newTreeEntry(VL, false); 680 return; 681 } 682 683 // We don't care if the user is in a different basic block. 684 BasicBlock *UserBlock = User->getParent(); 685 if (UserBlock != BB) { 686 DEBUG(dbgs() << "SLP: User from a different basic block " 687 << *User << ". \n"); 688 continue; 689 } 690 691 // If this is a PHINode within this basic block then we can place the 692 // extract wherever we want. 693 if (isa<PHINode>(*User)) { 694 DEBUG(dbgs() << "SLP: \tWe can schedule PHIs:" << *User << ". \n"); 695 continue; 696 } 697 698 // Check if this is a safe in-tree user. 699 if (ScalarToTreeEntry.count(User)) { 700 int Idx = ScalarToTreeEntry[User]; 701 int VecLocation = VectorizableTree[Idx].LastScalarIndex; 702 if (VecLocation <= MyLastIndex) { 703 DEBUG(dbgs() << "SLP: Gathering due to unschedulable vector. \n"); 704 newTreeEntry(VL, false); 705 return; 706 } 707 DEBUG(dbgs() << "SLP: In-tree user (" << *User << ") at #" << 708 VecLocation << " vector value (" << *Scalar << ") at #" 709 << MyLastIndex << ".\n"); 710 continue; 711 } 712 713 // This user is part of the reduction. 714 if (RdxOps && RdxOps->count(User)) 715 continue; 716 717 // Make sure that we can schedule this unknown user. 718 BlockNumbering &BN = BlocksNumbers[BB]; 719 int UserIndex = BN.getIndex(User); 720 if (UserIndex < MyLastIndex) { 721 722 DEBUG(dbgs() << "SLP: Can't schedule extractelement for " 723 << *User << ". \n"); 724 newTreeEntry(VL, false); 725 return; 726 } 727 } 728 } 729 730 // Check that every instructions appears once in this bundle. 731 for (unsigned i = 0, e = VL.size(); i < e; ++i) 732 for (unsigned j = i+1; j < e; ++j) 733 if (VL[i] == VL[j]) { 734 DEBUG(dbgs() << "SLP: Scalar used twice in bundle.\n"); 735 newTreeEntry(VL, false); 736 return; 737 } 738 739 // Check that instructions in this bundle don't reference other instructions. 740 // The runtime of this check is O(N * N-1 * uses(N)) and a typical N is 4. 741 for (unsigned i = 0, e = VL.size(); i < e; ++i) { 742 for (Value::use_iterator U = VL[i]->use_begin(), UE = VL[i]->use_end(); 743 U != UE; ++U) { 744 for (unsigned j = 0; j < e; ++j) { 745 if (i != j && *U == VL[j]) { 746 DEBUG(dbgs() << "SLP: Intra-bundle dependencies!" << **U << ". \n"); 747 newTreeEntry(VL, false); 748 return; 749 } 750 } 751 } 752 } 753 754 DEBUG(dbgs() << "SLP: We are able to schedule this bundle.\n"); 755 756 unsigned Opcode = getSameOpcode(VL); 757 758 // Check if it is safe to sink the loads or the stores. 759 if (Opcode == Instruction::Load || Opcode == Instruction::Store) { 760 Instruction *Last = getLastInstruction(VL); 761 762 for (unsigned i = 0, e = VL.size(); i < e; ++i) { 763 if (VL[i] == Last) 764 continue; 765 Value *Barrier = getSinkBarrier(cast<Instruction>(VL[i]), Last); 766 if (Barrier) { 767 DEBUG(dbgs() << "SLP: Can't sink " << *VL[i] << "\n down to " << *Last 768 << "\n because of " << *Barrier << ". Gathering.\n"); 769 newTreeEntry(VL, false); 770 return; 771 } 772 } 773 } 774 775 switch (Opcode) { 776 case Instruction::PHI: { 777 PHINode *PH = dyn_cast<PHINode>(VL0); 778 779 // Check for terminator values (e.g. invoke). 780 for (unsigned j = 0; j < VL.size(); ++j) 781 for (unsigned i = 0, e = PH->getNumIncomingValues(); i < e; ++i) { 782 TerminatorInst *Term = dyn_cast<TerminatorInst>( 783 cast<PHINode>(VL[j])->getIncomingValueForBlock(PH->getIncomingBlock(i))); 784 if (Term) { 785 DEBUG(dbgs() << "SLP: Need to swizzle PHINodes (TerminatorInst use).\n"); 786 newTreeEntry(VL, false); 787 return; 788 } 789 } 790 791 newTreeEntry(VL, true); 792 DEBUG(dbgs() << "SLP: added a vector of PHINodes.\n"); 793 794 for (unsigned i = 0, e = PH->getNumIncomingValues(); i < e; ++i) { 795 ValueList Operands; 796 // Prepare the operand vector. 797 for (unsigned j = 0; j < VL.size(); ++j) 798 Operands.push_back(cast<PHINode>(VL[j])->getIncomingValueForBlock( 799 PH->getIncomingBlock(i))); 800 801 buildTree_rec(Operands, Depth + 1); 802 } 803 return; 804 } 805 case Instruction::ExtractElement: { 806 bool Reuse = CanReuseExtract(VL); 807 if (Reuse) { 808 DEBUG(dbgs() << "SLP: Reusing extract sequence.\n"); 809 } 810 newTreeEntry(VL, Reuse); 811 return; 812 } 813 case Instruction::Load: { 814 // Check if the loads are consecutive or of we need to swizzle them. 815 for (unsigned i = 0, e = VL.size() - 1; i < e; ++i) { 816 LoadInst *L = cast<LoadInst>(VL[i]); 817 if (!L->isSimple() || !isConsecutiveAccess(VL[i], VL[i + 1])) { 818 newTreeEntry(VL, false); 819 DEBUG(dbgs() << "SLP: Need to swizzle loads.\n"); 820 return; 821 } 822 } 823 newTreeEntry(VL, true); 824 DEBUG(dbgs() << "SLP: added a vector of loads.\n"); 825 return; 826 } 827 case Instruction::ZExt: 828 case Instruction::SExt: 829 case Instruction::FPToUI: 830 case Instruction::FPToSI: 831 case Instruction::FPExt: 832 case Instruction::PtrToInt: 833 case Instruction::IntToPtr: 834 case Instruction::SIToFP: 835 case Instruction::UIToFP: 836 case Instruction::Trunc: 837 case Instruction::FPTrunc: 838 case Instruction::BitCast: { 839 Type *SrcTy = VL0->getOperand(0)->getType(); 840 for (unsigned i = 0; i < VL.size(); ++i) { 841 Type *Ty = cast<Instruction>(VL[i])->getOperand(0)->getType(); 842 if (Ty != SrcTy || Ty->isAggregateType() || Ty->isVectorTy()) { 843 newTreeEntry(VL, false); 844 DEBUG(dbgs() << "SLP: Gathering casts with different src types.\n"); 845 return; 846 } 847 } 848 newTreeEntry(VL, true); 849 DEBUG(dbgs() << "SLP: added a vector of casts.\n"); 850 851 for (unsigned i = 0, e = VL0->getNumOperands(); i < e; ++i) { 852 ValueList Operands; 853 // Prepare the operand vector. 854 for (unsigned j = 0; j < VL.size(); ++j) 855 Operands.push_back(cast<Instruction>(VL[j])->getOperand(i)); 856 857 buildTree_rec(Operands, Depth+1); 858 } 859 return; 860 } 861 case Instruction::ICmp: 862 case Instruction::FCmp: { 863 // Check that all of the compares have the same predicate. 864 CmpInst::Predicate P0 = dyn_cast<CmpInst>(VL0)->getPredicate(); 865 Type *ComparedTy = cast<Instruction>(VL[0])->getOperand(0)->getType(); 866 for (unsigned i = 1, e = VL.size(); i < e; ++i) { 867 CmpInst *Cmp = cast<CmpInst>(VL[i]); 868 if (Cmp->getPredicate() != P0 || 869 Cmp->getOperand(0)->getType() != ComparedTy) { 870 newTreeEntry(VL, false); 871 DEBUG(dbgs() << "SLP: Gathering cmp with different predicate.\n"); 872 return; 873 } 874 } 875 876 newTreeEntry(VL, true); 877 DEBUG(dbgs() << "SLP: added a vector of compares.\n"); 878 879 for (unsigned i = 0, e = VL0->getNumOperands(); i < e; ++i) { 880 ValueList Operands; 881 // Prepare the operand vector. 882 for (unsigned j = 0; j < VL.size(); ++j) 883 Operands.push_back(cast<Instruction>(VL[j])->getOperand(i)); 884 885 buildTree_rec(Operands, Depth+1); 886 } 887 return; 888 } 889 case Instruction::Select: 890 case Instruction::Add: 891 case Instruction::FAdd: 892 case Instruction::Sub: 893 case Instruction::FSub: 894 case Instruction::Mul: 895 case Instruction::FMul: 896 case Instruction::UDiv: 897 case Instruction::SDiv: 898 case Instruction::FDiv: 899 case Instruction::URem: 900 case Instruction::SRem: 901 case Instruction::FRem: 902 case Instruction::Shl: 903 case Instruction::LShr: 904 case Instruction::AShr: 905 case Instruction::And: 906 case Instruction::Or: 907 case Instruction::Xor: { 908 newTreeEntry(VL, true); 909 DEBUG(dbgs() << "SLP: added a vector of bin op.\n"); 910 911 // Sort operands of the instructions so that each side is more likely to 912 // have the same opcode. 913 if (isa<BinaryOperator>(VL0) && VL0->isCommutative()) { 914 ValueList Left, Right; 915 reorderInputsAccordingToOpcode(VL, Left, Right); 916 buildTree_rec(Left, Depth + 1); 917 buildTree_rec(Right, Depth + 1); 918 return; 919 } 920 921 for (unsigned i = 0, e = VL0->getNumOperands(); i < e; ++i) { 922 ValueList Operands; 923 // Prepare the operand vector. 924 for (unsigned j = 0; j < VL.size(); ++j) 925 Operands.push_back(cast<Instruction>(VL[j])->getOperand(i)); 926 927 buildTree_rec(Operands, Depth+1); 928 } 929 return; 930 } 931 case Instruction::Store: { 932 // Check if the stores are consecutive or of we need to swizzle them. 933 for (unsigned i = 0, e = VL.size() - 1; i < e; ++i) 934 if (!isConsecutiveAccess(VL[i], VL[i + 1])) { 935 newTreeEntry(VL, false); 936 DEBUG(dbgs() << "SLP: Non-consecutive store.\n"); 937 return; 938 } 939 940 newTreeEntry(VL, true); 941 DEBUG(dbgs() << "SLP: added a vector of stores.\n"); 942 943 ValueList Operands; 944 for (unsigned j = 0; j < VL.size(); ++j) 945 Operands.push_back(cast<Instruction>(VL[j])->getOperand(0)); 946 947 // We can ignore these values because we are sinking them down. 948 MemBarrierIgnoreList.insert(VL.begin(), VL.end()); 949 buildTree_rec(Operands, Depth + 1); 950 return; 951 } 952 default: 953 newTreeEntry(VL, false); 954 DEBUG(dbgs() << "SLP: Gathering unknown instruction.\n"); 955 return; 956 } 957 } 958 959 int BoUpSLP::getEntryCost(TreeEntry *E) { 960 ArrayRef<Value*> VL = E->Scalars; 961 962 Type *ScalarTy = VL[0]->getType(); 963 if (StoreInst *SI = dyn_cast<StoreInst>(VL[0])) 964 ScalarTy = SI->getValueOperand()->getType(); 965 VectorType *VecTy = VectorType::get(ScalarTy, VL.size()); 966 967 if (E->NeedToGather) { 968 if (allConstant(VL)) 969 return 0; 970 if (isSplat(VL)) { 971 return TTI->getShuffleCost(TargetTransformInfo::SK_Broadcast, VecTy, 0); 972 } 973 return getGatherCost(E->Scalars); 974 } 975 976 assert(getSameOpcode(VL) && getSameType(VL) && getSameBlock(VL) && 977 "Invalid VL"); 978 Instruction *VL0 = cast<Instruction>(VL[0]); 979 unsigned Opcode = VL0->getOpcode(); 980 switch (Opcode) { 981 case Instruction::PHI: { 982 return 0; 983 } 984 case Instruction::ExtractElement: { 985 if (CanReuseExtract(VL)) 986 return 0; 987 return getGatherCost(VecTy); 988 } 989 case Instruction::ZExt: 990 case Instruction::SExt: 991 case Instruction::FPToUI: 992 case Instruction::FPToSI: 993 case Instruction::FPExt: 994 case Instruction::PtrToInt: 995 case Instruction::IntToPtr: 996 case Instruction::SIToFP: 997 case Instruction::UIToFP: 998 case Instruction::Trunc: 999 case Instruction::FPTrunc: 1000 case Instruction::BitCast: { 1001 Type *SrcTy = VL0->getOperand(0)->getType(); 1002 1003 // Calculate the cost of this instruction. 1004 int ScalarCost = VL.size() * TTI->getCastInstrCost(VL0->getOpcode(), 1005 VL0->getType(), SrcTy); 1006 1007 VectorType *SrcVecTy = VectorType::get(SrcTy, VL.size()); 1008 int VecCost = TTI->getCastInstrCost(VL0->getOpcode(), VecTy, SrcVecTy); 1009 return VecCost - ScalarCost; 1010 } 1011 case Instruction::FCmp: 1012 case Instruction::ICmp: 1013 case Instruction::Select: 1014 case Instruction::Add: 1015 case Instruction::FAdd: 1016 case Instruction::Sub: 1017 case Instruction::FSub: 1018 case Instruction::Mul: 1019 case Instruction::FMul: 1020 case Instruction::UDiv: 1021 case Instruction::SDiv: 1022 case Instruction::FDiv: 1023 case Instruction::URem: 1024 case Instruction::SRem: 1025 case Instruction::FRem: 1026 case Instruction::Shl: 1027 case Instruction::LShr: 1028 case Instruction::AShr: 1029 case Instruction::And: 1030 case Instruction::Or: 1031 case Instruction::Xor: { 1032 // Calculate the cost of this instruction. 1033 int ScalarCost = 0; 1034 int VecCost = 0; 1035 if (Opcode == Instruction::FCmp || Opcode == Instruction::ICmp || 1036 Opcode == Instruction::Select) { 1037 VectorType *MaskTy = VectorType::get(Builder.getInt1Ty(), VL.size()); 1038 ScalarCost = VecTy->getNumElements() * 1039 TTI->getCmpSelInstrCost(Opcode, ScalarTy, Builder.getInt1Ty()); 1040 VecCost = TTI->getCmpSelInstrCost(Opcode, VecTy, MaskTy); 1041 } else { 1042 // Certain instructions can be cheaper to vectorize if they have a 1043 // constant second vector operand. 1044 TargetTransformInfo::OperandValueKind Op1VK = 1045 TargetTransformInfo::OK_AnyValue; 1046 TargetTransformInfo::OperandValueKind Op2VK = 1047 TargetTransformInfo::OK_UniformConstantValue; 1048 1049 // If all operands are exactly the same ConstantInt then set the 1050 // operand kind to OK_UniformConstantValue. 1051 // If instead not all operands are constants, then set the operand kind 1052 // to OK_AnyValue. If all operands are constants but not the same, 1053 // then set the operand kind to OK_NonUniformConstantValue. 1054 ConstantInt *CInt = NULL; 1055 for (unsigned i = 0; i < VL.size(); ++i) { 1056 const Instruction *I = cast<Instruction>(VL[i]); 1057 if (!isa<ConstantInt>(I->getOperand(1))) { 1058 Op2VK = TargetTransformInfo::OK_AnyValue; 1059 break; 1060 } 1061 if (i == 0) { 1062 CInt = cast<ConstantInt>(I->getOperand(1)); 1063 continue; 1064 } 1065 if (Op2VK == TargetTransformInfo::OK_UniformConstantValue && 1066 CInt != cast<ConstantInt>(I->getOperand(1))) 1067 Op2VK = TargetTransformInfo::OK_NonUniformConstantValue; 1068 } 1069 1070 ScalarCost = 1071 VecTy->getNumElements() * 1072 TTI->getArithmeticInstrCost(Opcode, ScalarTy, Op1VK, Op2VK); 1073 VecCost = TTI->getArithmeticInstrCost(Opcode, VecTy, Op1VK, Op2VK); 1074 } 1075 return VecCost - ScalarCost; 1076 } 1077 case Instruction::Load: { 1078 // Cost of wide load - cost of scalar loads. 1079 int ScalarLdCost = VecTy->getNumElements() * 1080 TTI->getMemoryOpCost(Instruction::Load, ScalarTy, 1, 0); 1081 int VecLdCost = TTI->getMemoryOpCost(Instruction::Load, VecTy, 1, 0); 1082 return VecLdCost - ScalarLdCost; 1083 } 1084 case Instruction::Store: { 1085 // We know that we can merge the stores. Calculate the cost. 1086 int ScalarStCost = VecTy->getNumElements() * 1087 TTI->getMemoryOpCost(Instruction::Store, ScalarTy, 1, 0); 1088 int VecStCost = TTI->getMemoryOpCost(Instruction::Store, VecTy, 1, 0); 1089 return VecStCost - ScalarStCost; 1090 } 1091 default: 1092 llvm_unreachable("Unknown instruction"); 1093 } 1094 } 1095 1096 bool BoUpSLP::isFullyVectorizableTinyTree() { 1097 DEBUG(dbgs() << "SLP: Check whether the tree with height " << 1098 VectorizableTree.size() << " is fully vectorizable .\n"); 1099 1100 // We only handle trees of height 2. 1101 if (VectorizableTree.size() != 2) 1102 return false; 1103 1104 // Handle splat stores. 1105 if (!VectorizableTree[0].NeedToGather && isSplat(VectorizableTree[1].Scalars)) 1106 return true; 1107 1108 // Gathering cost would be too much for tiny trees. 1109 if (VectorizableTree[0].NeedToGather || VectorizableTree[1].NeedToGather) 1110 return false; 1111 1112 return true; 1113 } 1114 1115 int BoUpSLP::getTreeCost() { 1116 int Cost = 0; 1117 DEBUG(dbgs() << "SLP: Calculating cost for tree of size " << 1118 VectorizableTree.size() << ".\n"); 1119 1120 // We only vectorize tiny trees if it is fully vectorizable. 1121 if (VectorizableTree.size() < 3 && !isFullyVectorizableTinyTree()) { 1122 if (!VectorizableTree.size()) { 1123 assert(!ExternalUses.size() && "We should not have any external users"); 1124 } 1125 return INT_MAX; 1126 } 1127 1128 unsigned BundleWidth = VectorizableTree[0].Scalars.size(); 1129 1130 for (unsigned i = 0, e = VectorizableTree.size(); i != e; ++i) { 1131 int C = getEntryCost(&VectorizableTree[i]); 1132 DEBUG(dbgs() << "SLP: Adding cost " << C << " for bundle that starts with " 1133 << *VectorizableTree[i].Scalars[0] << " .\n"); 1134 Cost += C; 1135 } 1136 1137 SmallSet<Value *, 16> ExtractCostCalculated; 1138 int ExtractCost = 0; 1139 for (UserList::iterator I = ExternalUses.begin(), E = ExternalUses.end(); 1140 I != E; ++I) { 1141 // We only add extract cost once for the same scalar. 1142 if (!ExtractCostCalculated.insert(I->Scalar)) 1143 continue; 1144 1145 VectorType *VecTy = VectorType::get(I->Scalar->getType(), BundleWidth); 1146 ExtractCost += TTI->getVectorInstrCost(Instruction::ExtractElement, VecTy, 1147 I->Lane); 1148 } 1149 1150 DEBUG(dbgs() << "SLP: Total Cost " << Cost + ExtractCost<< ".\n"); 1151 return Cost + ExtractCost; 1152 } 1153 1154 int BoUpSLP::getGatherCost(Type *Ty) { 1155 int Cost = 0; 1156 for (unsigned i = 0, e = cast<VectorType>(Ty)->getNumElements(); i < e; ++i) 1157 Cost += TTI->getVectorInstrCost(Instruction::InsertElement, Ty, i); 1158 return Cost; 1159 } 1160 1161 int BoUpSLP::getGatherCost(ArrayRef<Value *> VL) { 1162 // Find the type of the operands in VL. 1163 Type *ScalarTy = VL[0]->getType(); 1164 if (StoreInst *SI = dyn_cast<StoreInst>(VL[0])) 1165 ScalarTy = SI->getValueOperand()->getType(); 1166 VectorType *VecTy = VectorType::get(ScalarTy, VL.size()); 1167 // Find the cost of inserting/extracting values from the vector. 1168 return getGatherCost(VecTy); 1169 } 1170 1171 AliasAnalysis::Location BoUpSLP::getLocation(Instruction *I) { 1172 if (StoreInst *SI = dyn_cast<StoreInst>(I)) 1173 return AA->getLocation(SI); 1174 if (LoadInst *LI = dyn_cast<LoadInst>(I)) 1175 return AA->getLocation(LI); 1176 return AliasAnalysis::Location(); 1177 } 1178 1179 Value *BoUpSLP::getPointerOperand(Value *I) { 1180 if (LoadInst *LI = dyn_cast<LoadInst>(I)) 1181 return LI->getPointerOperand(); 1182 if (StoreInst *SI = dyn_cast<StoreInst>(I)) 1183 return SI->getPointerOperand(); 1184 return 0; 1185 } 1186 1187 unsigned BoUpSLP::getAddressSpaceOperand(Value *I) { 1188 if (LoadInst *L = dyn_cast<LoadInst>(I)) 1189 return L->getPointerAddressSpace(); 1190 if (StoreInst *S = dyn_cast<StoreInst>(I)) 1191 return S->getPointerAddressSpace(); 1192 return -1; 1193 } 1194 1195 bool BoUpSLP::isConsecutiveAccess(Value *A, Value *B) { 1196 Value *PtrA = getPointerOperand(A); 1197 Value *PtrB = getPointerOperand(B); 1198 unsigned ASA = getAddressSpaceOperand(A); 1199 unsigned ASB = getAddressSpaceOperand(B); 1200 1201 // Check that the address spaces match and that the pointers are valid. 1202 if (!PtrA || !PtrB || (ASA != ASB)) 1203 return false; 1204 1205 // Make sure that A and B are different pointers of the same type. 1206 if (PtrA == PtrB || PtrA->getType() != PtrB->getType()) 1207 return false; 1208 1209 unsigned PtrBitWidth = DL->getPointerSizeInBits(ASA); 1210 Type *Ty = cast<PointerType>(PtrA->getType())->getElementType(); 1211 APInt Size(PtrBitWidth, DL->getTypeStoreSize(Ty)); 1212 1213 APInt OffsetA(PtrBitWidth, 0), OffsetB(PtrBitWidth, 0); 1214 PtrA = PtrA->stripAndAccumulateInBoundsConstantOffsets(*DL, OffsetA); 1215 PtrB = PtrB->stripAndAccumulateInBoundsConstantOffsets(*DL, OffsetB); 1216 1217 APInt OffsetDelta = OffsetB - OffsetA; 1218 1219 // Check if they are based on the same pointer. That makes the offsets 1220 // sufficient. 1221 if (PtrA == PtrB) 1222 return OffsetDelta == Size; 1223 1224 // Compute the necessary base pointer delta to have the necessary final delta 1225 // equal to the size. 1226 APInt BaseDelta = Size - OffsetDelta; 1227 1228 // Otherwise compute the distance with SCEV between the base pointers. 1229 const SCEV *PtrSCEVA = SE->getSCEV(PtrA); 1230 const SCEV *PtrSCEVB = SE->getSCEV(PtrB); 1231 const SCEV *C = SE->getConstant(BaseDelta); 1232 const SCEV *X = SE->getAddExpr(PtrSCEVA, C); 1233 return X == PtrSCEVB; 1234 } 1235 1236 Value *BoUpSLP::getSinkBarrier(Instruction *Src, Instruction *Dst) { 1237 assert(Src->getParent() == Dst->getParent() && "Not the same BB"); 1238 BasicBlock::iterator I = Src, E = Dst; 1239 /// Scan all of the instruction from SRC to DST and check if 1240 /// the source may alias. 1241 for (++I; I != E; ++I) { 1242 // Ignore store instructions that are marked as 'ignore'. 1243 if (MemBarrierIgnoreList.count(I)) 1244 continue; 1245 if (Src->mayWriteToMemory()) /* Write */ { 1246 if (!I->mayReadOrWriteMemory()) 1247 continue; 1248 } else /* Read */ { 1249 if (!I->mayWriteToMemory()) 1250 continue; 1251 } 1252 AliasAnalysis::Location A = getLocation(&*I); 1253 AliasAnalysis::Location B = getLocation(Src); 1254 1255 if (!A.Ptr || !B.Ptr || AA->alias(A, B)) 1256 return I; 1257 } 1258 return 0; 1259 } 1260 1261 int BoUpSLP::getLastIndex(ArrayRef<Value *> VL) { 1262 BasicBlock *BB = cast<Instruction>(VL[0])->getParent(); 1263 assert(BB == getSameBlock(VL) && BlocksNumbers.count(BB) && "Invalid block"); 1264 BlockNumbering &BN = BlocksNumbers[BB]; 1265 1266 int MaxIdx = BN.getIndex(BB->getFirstNonPHI()); 1267 for (unsigned i = 0, e = VL.size(); i < e; ++i) 1268 MaxIdx = std::max(MaxIdx, BN.getIndex(cast<Instruction>(VL[i]))); 1269 return MaxIdx; 1270 } 1271 1272 Instruction *BoUpSLP::getLastInstruction(ArrayRef<Value *> VL) { 1273 BasicBlock *BB = cast<Instruction>(VL[0])->getParent(); 1274 assert(BB == getSameBlock(VL) && BlocksNumbers.count(BB) && "Invalid block"); 1275 BlockNumbering &BN = BlocksNumbers[BB]; 1276 1277 int MaxIdx = BN.getIndex(cast<Instruction>(VL[0])); 1278 for (unsigned i = 1, e = VL.size(); i < e; ++i) 1279 MaxIdx = std::max(MaxIdx, BN.getIndex(cast<Instruction>(VL[i]))); 1280 Instruction *I = BN.getInstruction(MaxIdx); 1281 assert(I && "bad location"); 1282 return I; 1283 } 1284 1285 void BoUpSLP::setInsertPointAfterBundle(ArrayRef<Value *> VL) { 1286 Instruction *VL0 = cast<Instruction>(VL[0]); 1287 Instruction *LastInst = getLastInstruction(VL); 1288 BasicBlock::iterator NextInst = LastInst; 1289 ++NextInst; 1290 Builder.SetInsertPoint(VL0->getParent(), NextInst); 1291 Builder.SetCurrentDebugLocation(VL0->getDebugLoc()); 1292 } 1293 1294 Value *BoUpSLP::Gather(ArrayRef<Value *> VL, VectorType *Ty) { 1295 Value *Vec = UndefValue::get(Ty); 1296 // Generate the 'InsertElement' instruction. 1297 for (unsigned i = 0; i < Ty->getNumElements(); ++i) { 1298 Vec = Builder.CreateInsertElement(Vec, VL[i], Builder.getInt32(i)); 1299 if (Instruction *Insrt = dyn_cast<Instruction>(Vec)) { 1300 GatherSeq.insert(Insrt); 1301 CSEBlocks.insert(Insrt->getParent()); 1302 1303 // Add to our 'need-to-extract' list. 1304 if (ScalarToTreeEntry.count(VL[i])) { 1305 int Idx = ScalarToTreeEntry[VL[i]]; 1306 TreeEntry *E = &VectorizableTree[Idx]; 1307 // Find which lane we need to extract. 1308 int FoundLane = -1; 1309 for (unsigned Lane = 0, LE = VL.size(); Lane != LE; ++Lane) { 1310 // Is this the lane of the scalar that we are looking for ? 1311 if (E->Scalars[Lane] == VL[i]) { 1312 FoundLane = Lane; 1313 break; 1314 } 1315 } 1316 assert(FoundLane >= 0 && "Could not find the correct lane"); 1317 ExternalUses.push_back(ExternalUser(VL[i], Insrt, FoundLane)); 1318 } 1319 } 1320 } 1321 1322 return Vec; 1323 } 1324 1325 Value *BoUpSLP::alreadyVectorized(ArrayRef<Value *> VL) const { 1326 SmallDenseMap<Value*, int>::const_iterator Entry 1327 = ScalarToTreeEntry.find(VL[0]); 1328 if (Entry != ScalarToTreeEntry.end()) { 1329 int Idx = Entry->second; 1330 const TreeEntry *En = &VectorizableTree[Idx]; 1331 if (En->isSame(VL) && En->VectorizedValue) 1332 return En->VectorizedValue; 1333 } 1334 return 0; 1335 } 1336 1337 Value *BoUpSLP::vectorizeTree(ArrayRef<Value *> VL) { 1338 if (ScalarToTreeEntry.count(VL[0])) { 1339 int Idx = ScalarToTreeEntry[VL[0]]; 1340 TreeEntry *E = &VectorizableTree[Idx]; 1341 if (E->isSame(VL)) 1342 return vectorizeTree(E); 1343 } 1344 1345 Type *ScalarTy = VL[0]->getType(); 1346 if (StoreInst *SI = dyn_cast<StoreInst>(VL[0])) 1347 ScalarTy = SI->getValueOperand()->getType(); 1348 VectorType *VecTy = VectorType::get(ScalarTy, VL.size()); 1349 1350 return Gather(VL, VecTy); 1351 } 1352 1353 Value *BoUpSLP::vectorizeTree(TreeEntry *E) { 1354 IRBuilder<>::InsertPointGuard Guard(Builder); 1355 1356 if (E->VectorizedValue) { 1357 DEBUG(dbgs() << "SLP: Diamond merged for " << *E->Scalars[0] << ".\n"); 1358 return E->VectorizedValue; 1359 } 1360 1361 Instruction *VL0 = cast<Instruction>(E->Scalars[0]); 1362 Type *ScalarTy = VL0->getType(); 1363 if (StoreInst *SI = dyn_cast<StoreInst>(VL0)) 1364 ScalarTy = SI->getValueOperand()->getType(); 1365 VectorType *VecTy = VectorType::get(ScalarTy, E->Scalars.size()); 1366 1367 if (E->NeedToGather) { 1368 setInsertPointAfterBundle(E->Scalars); 1369 return Gather(E->Scalars, VecTy); 1370 } 1371 1372 unsigned Opcode = VL0->getOpcode(); 1373 assert(Opcode == getSameOpcode(E->Scalars) && "Invalid opcode"); 1374 1375 switch (Opcode) { 1376 case Instruction::PHI: { 1377 PHINode *PH = dyn_cast<PHINode>(VL0); 1378 Builder.SetInsertPoint(PH->getParent()->getFirstNonPHI()); 1379 Builder.SetCurrentDebugLocation(PH->getDebugLoc()); 1380 PHINode *NewPhi = Builder.CreatePHI(VecTy, PH->getNumIncomingValues()); 1381 E->VectorizedValue = NewPhi; 1382 1383 // PHINodes may have multiple entries from the same block. We want to 1384 // visit every block once. 1385 SmallSet<BasicBlock*, 4> VisitedBBs; 1386 1387 for (unsigned i = 0, e = PH->getNumIncomingValues(); i < e; ++i) { 1388 ValueList Operands; 1389 BasicBlock *IBB = PH->getIncomingBlock(i); 1390 1391 if (!VisitedBBs.insert(IBB)) { 1392 NewPhi->addIncoming(NewPhi->getIncomingValueForBlock(IBB), IBB); 1393 continue; 1394 } 1395 1396 // Prepare the operand vector. 1397 for (unsigned j = 0; j < E->Scalars.size(); ++j) 1398 Operands.push_back(cast<PHINode>(E->Scalars[j])-> 1399 getIncomingValueForBlock(IBB)); 1400 1401 Builder.SetInsertPoint(IBB->getTerminator()); 1402 Builder.SetCurrentDebugLocation(PH->getDebugLoc()); 1403 Value *Vec = vectorizeTree(Operands); 1404 NewPhi->addIncoming(Vec, IBB); 1405 } 1406 1407 assert(NewPhi->getNumIncomingValues() == PH->getNumIncomingValues() && 1408 "Invalid number of incoming values"); 1409 return NewPhi; 1410 } 1411 1412 case Instruction::ExtractElement: { 1413 if (CanReuseExtract(E->Scalars)) { 1414 Value *V = VL0->getOperand(0); 1415 E->VectorizedValue = V; 1416 return V; 1417 } 1418 return Gather(E->Scalars, VecTy); 1419 } 1420 case Instruction::ZExt: 1421 case Instruction::SExt: 1422 case Instruction::FPToUI: 1423 case Instruction::FPToSI: 1424 case Instruction::FPExt: 1425 case Instruction::PtrToInt: 1426 case Instruction::IntToPtr: 1427 case Instruction::SIToFP: 1428 case Instruction::UIToFP: 1429 case Instruction::Trunc: 1430 case Instruction::FPTrunc: 1431 case Instruction::BitCast: { 1432 ValueList INVL; 1433 for (int i = 0, e = E->Scalars.size(); i < e; ++i) 1434 INVL.push_back(cast<Instruction>(E->Scalars[i])->getOperand(0)); 1435 1436 setInsertPointAfterBundle(E->Scalars); 1437 1438 Value *InVec = vectorizeTree(INVL); 1439 1440 if (Value *V = alreadyVectorized(E->Scalars)) 1441 return V; 1442 1443 CastInst *CI = dyn_cast<CastInst>(VL0); 1444 Value *V = Builder.CreateCast(CI->getOpcode(), InVec, VecTy); 1445 E->VectorizedValue = V; 1446 return V; 1447 } 1448 case Instruction::FCmp: 1449 case Instruction::ICmp: { 1450 ValueList LHSV, RHSV; 1451 for (int i = 0, e = E->Scalars.size(); i < e; ++i) { 1452 LHSV.push_back(cast<Instruction>(E->Scalars[i])->getOperand(0)); 1453 RHSV.push_back(cast<Instruction>(E->Scalars[i])->getOperand(1)); 1454 } 1455 1456 setInsertPointAfterBundle(E->Scalars); 1457 1458 Value *L = vectorizeTree(LHSV); 1459 Value *R = vectorizeTree(RHSV); 1460 1461 if (Value *V = alreadyVectorized(E->Scalars)) 1462 return V; 1463 1464 CmpInst::Predicate P0 = dyn_cast<CmpInst>(VL0)->getPredicate(); 1465 Value *V; 1466 if (Opcode == Instruction::FCmp) 1467 V = Builder.CreateFCmp(P0, L, R); 1468 else 1469 V = Builder.CreateICmp(P0, L, R); 1470 1471 E->VectorizedValue = V; 1472 return V; 1473 } 1474 case Instruction::Select: { 1475 ValueList TrueVec, FalseVec, CondVec; 1476 for (int i = 0, e = E->Scalars.size(); i < e; ++i) { 1477 CondVec.push_back(cast<Instruction>(E->Scalars[i])->getOperand(0)); 1478 TrueVec.push_back(cast<Instruction>(E->Scalars[i])->getOperand(1)); 1479 FalseVec.push_back(cast<Instruction>(E->Scalars[i])->getOperand(2)); 1480 } 1481 1482 setInsertPointAfterBundle(E->Scalars); 1483 1484 Value *Cond = vectorizeTree(CondVec); 1485 Value *True = vectorizeTree(TrueVec); 1486 Value *False = vectorizeTree(FalseVec); 1487 1488 if (Value *V = alreadyVectorized(E->Scalars)) 1489 return V; 1490 1491 Value *V = Builder.CreateSelect(Cond, True, False); 1492 E->VectorizedValue = V; 1493 return V; 1494 } 1495 case Instruction::Add: 1496 case Instruction::FAdd: 1497 case Instruction::Sub: 1498 case Instruction::FSub: 1499 case Instruction::Mul: 1500 case Instruction::FMul: 1501 case Instruction::UDiv: 1502 case Instruction::SDiv: 1503 case Instruction::FDiv: 1504 case Instruction::URem: 1505 case Instruction::SRem: 1506 case Instruction::FRem: 1507 case Instruction::Shl: 1508 case Instruction::LShr: 1509 case Instruction::AShr: 1510 case Instruction::And: 1511 case Instruction::Or: 1512 case Instruction::Xor: { 1513 ValueList LHSVL, RHSVL; 1514 if (isa<BinaryOperator>(VL0) && VL0->isCommutative()) 1515 reorderInputsAccordingToOpcode(E->Scalars, LHSVL, RHSVL); 1516 else 1517 for (int i = 0, e = E->Scalars.size(); i < e; ++i) { 1518 LHSVL.push_back(cast<Instruction>(E->Scalars[i])->getOperand(0)); 1519 RHSVL.push_back(cast<Instruction>(E->Scalars[i])->getOperand(1)); 1520 } 1521 1522 setInsertPointAfterBundle(E->Scalars); 1523 1524 Value *LHS = vectorizeTree(LHSVL); 1525 Value *RHS = vectorizeTree(RHSVL); 1526 1527 if (LHS == RHS && isa<Instruction>(LHS)) { 1528 assert((VL0->getOperand(0) == VL0->getOperand(1)) && "Invalid order"); 1529 } 1530 1531 if (Value *V = alreadyVectorized(E->Scalars)) 1532 return V; 1533 1534 BinaryOperator *BinOp = cast<BinaryOperator>(VL0); 1535 Value *V = Builder.CreateBinOp(BinOp->getOpcode(), LHS, RHS); 1536 E->VectorizedValue = V; 1537 1538 if (Instruction *I = dyn_cast<Instruction>(V)) 1539 return propagateMetadata(I, E->Scalars); 1540 1541 return V; 1542 } 1543 case Instruction::Load: { 1544 // Loads are inserted at the head of the tree because we don't want to 1545 // sink them all the way down past store instructions. 1546 setInsertPointAfterBundle(E->Scalars); 1547 1548 LoadInst *LI = cast<LoadInst>(VL0); 1549 unsigned AS = LI->getPointerAddressSpace(); 1550 1551 Value *VecPtr = Builder.CreateBitCast(LI->getPointerOperand(), 1552 VecTy->getPointerTo(AS)); 1553 unsigned Alignment = LI->getAlignment(); 1554 LI = Builder.CreateLoad(VecPtr); 1555 LI->setAlignment(Alignment); 1556 E->VectorizedValue = LI; 1557 return propagateMetadata(LI, E->Scalars); 1558 } 1559 case Instruction::Store: { 1560 StoreInst *SI = cast<StoreInst>(VL0); 1561 unsigned Alignment = SI->getAlignment(); 1562 unsigned AS = SI->getPointerAddressSpace(); 1563 1564 ValueList ValueOp; 1565 for (int i = 0, e = E->Scalars.size(); i < e; ++i) 1566 ValueOp.push_back(cast<StoreInst>(E->Scalars[i])->getValueOperand()); 1567 1568 setInsertPointAfterBundle(E->Scalars); 1569 1570 Value *VecValue = vectorizeTree(ValueOp); 1571 Value *VecPtr = Builder.CreateBitCast(SI->getPointerOperand(), 1572 VecTy->getPointerTo(AS)); 1573 StoreInst *S = Builder.CreateStore(VecValue, VecPtr); 1574 S->setAlignment(Alignment); 1575 E->VectorizedValue = S; 1576 return propagateMetadata(S, E->Scalars); 1577 } 1578 default: 1579 llvm_unreachable("unknown inst"); 1580 } 1581 return 0; 1582 } 1583 1584 Value *BoUpSLP::vectorizeTree() { 1585 Builder.SetInsertPoint(F->getEntryBlock().begin()); 1586 vectorizeTree(&VectorizableTree[0]); 1587 1588 DEBUG(dbgs() << "SLP: Extracting " << ExternalUses.size() << " values .\n"); 1589 1590 // Extract all of the elements with the external uses. 1591 for (UserList::iterator it = ExternalUses.begin(), e = ExternalUses.end(); 1592 it != e; ++it) { 1593 Value *Scalar = it->Scalar; 1594 llvm::User *User = it->User; 1595 1596 // Skip users that we already RAUW. This happens when one instruction 1597 // has multiple uses of the same value. 1598 if (std::find(Scalar->use_begin(), Scalar->use_end(), User) == 1599 Scalar->use_end()) 1600 continue; 1601 assert(ScalarToTreeEntry.count(Scalar) && "Invalid scalar"); 1602 1603 int Idx = ScalarToTreeEntry[Scalar]; 1604 TreeEntry *E = &VectorizableTree[Idx]; 1605 assert(!E->NeedToGather && "Extracting from a gather list"); 1606 1607 Value *Vec = E->VectorizedValue; 1608 assert(Vec && "Can't find vectorizable value"); 1609 1610 Value *Lane = Builder.getInt32(it->Lane); 1611 // Generate extracts for out-of-tree users. 1612 // Find the insertion point for the extractelement lane. 1613 if (PHINode *PN = dyn_cast<PHINode>(Vec)) { 1614 Builder.SetInsertPoint(PN->getParent()->getFirstInsertionPt()); 1615 Value *Ex = Builder.CreateExtractElement(Vec, Lane); 1616 CSEBlocks.insert(PN->getParent()); 1617 User->replaceUsesOfWith(Scalar, Ex); 1618 } else if (isa<Instruction>(Vec)){ 1619 if (PHINode *PH = dyn_cast<PHINode>(User)) { 1620 for (int i = 0, e = PH->getNumIncomingValues(); i != e; ++i) { 1621 if (PH->getIncomingValue(i) == Scalar) { 1622 Builder.SetInsertPoint(PH->getIncomingBlock(i)->getTerminator()); 1623 Value *Ex = Builder.CreateExtractElement(Vec, Lane); 1624 CSEBlocks.insert(PH->getIncomingBlock(i)); 1625 PH->setOperand(i, Ex); 1626 } 1627 } 1628 } else { 1629 Builder.SetInsertPoint(cast<Instruction>(User)); 1630 Value *Ex = Builder.CreateExtractElement(Vec, Lane); 1631 CSEBlocks.insert(cast<Instruction>(User)->getParent()); 1632 User->replaceUsesOfWith(Scalar, Ex); 1633 } 1634 } else { 1635 Builder.SetInsertPoint(F->getEntryBlock().begin()); 1636 Value *Ex = Builder.CreateExtractElement(Vec, Lane); 1637 CSEBlocks.insert(&F->getEntryBlock()); 1638 User->replaceUsesOfWith(Scalar, Ex); 1639 } 1640 1641 DEBUG(dbgs() << "SLP: Replaced:" << *User << ".\n"); 1642 } 1643 1644 // For each vectorized value: 1645 for (int EIdx = 0, EE = VectorizableTree.size(); EIdx < EE; ++EIdx) { 1646 TreeEntry *Entry = &VectorizableTree[EIdx]; 1647 1648 // For each lane: 1649 for (int Lane = 0, LE = Entry->Scalars.size(); Lane != LE; ++Lane) { 1650 Value *Scalar = Entry->Scalars[Lane]; 1651 1652 // No need to handle users of gathered values. 1653 if (Entry->NeedToGather) 1654 continue; 1655 1656 assert(Entry->VectorizedValue && "Can't find vectorizable value"); 1657 1658 Type *Ty = Scalar->getType(); 1659 if (!Ty->isVoidTy()) { 1660 for (Value::use_iterator User = Scalar->use_begin(), 1661 UE = Scalar->use_end(); User != UE; ++User) { 1662 DEBUG(dbgs() << "SLP: \tvalidating user:" << **User << ".\n"); 1663 1664 assert((ScalarToTreeEntry.count(*User) || 1665 // It is legal to replace the reduction users by undef. 1666 (RdxOps && RdxOps->count(*User))) && 1667 "Replacing out-of-tree value with undef"); 1668 } 1669 Value *Undef = UndefValue::get(Ty); 1670 Scalar->replaceAllUsesWith(Undef); 1671 } 1672 DEBUG(dbgs() << "SLP: \tErasing scalar:" << *Scalar << ".\n"); 1673 cast<Instruction>(Scalar)->eraseFromParent(); 1674 } 1675 } 1676 1677 for (Function::iterator it = F->begin(), e = F->end(); it != e; ++it) { 1678 BlocksNumbers[it].forget(); 1679 } 1680 Builder.ClearInsertionPoint(); 1681 1682 return VectorizableTree[0].VectorizedValue; 1683 } 1684 1685 class DTCmp { 1686 const DominatorTree *DT; 1687 1688 public: 1689 DTCmp(const DominatorTree *DT) : DT(DT) {} 1690 bool operator()(const BasicBlock *A, const BasicBlock *B) const { 1691 return DT->properlyDominates(A, B); 1692 } 1693 }; 1694 1695 void BoUpSLP::optimizeGatherSequence() { 1696 DEBUG(dbgs() << "SLP: Optimizing " << GatherSeq.size() 1697 << " gather sequences instructions.\n"); 1698 // LICM InsertElementInst sequences. 1699 for (SetVector<Instruction *>::iterator it = GatherSeq.begin(), 1700 e = GatherSeq.end(); it != e; ++it) { 1701 InsertElementInst *Insert = dyn_cast<InsertElementInst>(*it); 1702 1703 if (!Insert) 1704 continue; 1705 1706 // Check if this block is inside a loop. 1707 Loop *L = LI->getLoopFor(Insert->getParent()); 1708 if (!L) 1709 continue; 1710 1711 // Check if it has a preheader. 1712 BasicBlock *PreHeader = L->getLoopPreheader(); 1713 if (!PreHeader) 1714 continue; 1715 1716 // If the vector or the element that we insert into it are 1717 // instructions that are defined in this basic block then we can't 1718 // hoist this instruction. 1719 Instruction *CurrVec = dyn_cast<Instruction>(Insert->getOperand(0)); 1720 Instruction *NewElem = dyn_cast<Instruction>(Insert->getOperand(1)); 1721 if (CurrVec && L->contains(CurrVec)) 1722 continue; 1723 if (NewElem && L->contains(NewElem)) 1724 continue; 1725 1726 // We can hoist this instruction. Move it to the pre-header. 1727 Insert->moveBefore(PreHeader->getTerminator()); 1728 } 1729 1730 // Sort blocks by domination. This ensures we visit a block after all blocks 1731 // dominating it are visited. 1732 SmallVector<BasicBlock *, 8> CSEWorkList(CSEBlocks.begin(), CSEBlocks.end()); 1733 std::stable_sort(CSEWorkList.begin(), CSEWorkList.end(), DTCmp(DT)); 1734 1735 // Perform O(N^2) search over the gather sequences and merge identical 1736 // instructions. TODO: We can further optimize this scan if we split the 1737 // instructions into different buckets based on the insert lane. 1738 SmallVector<Instruction *, 16> Visited; 1739 for (SmallVectorImpl<BasicBlock *>::iterator I = CSEWorkList.begin(), 1740 E = CSEWorkList.end(); 1741 I != E; ++I) { 1742 assert((I == CSEWorkList.begin() || !DT->dominates(*I, *llvm::prior(I))) && 1743 "Worklist not sorted properly!"); 1744 BasicBlock *BB = *I; 1745 // For all instructions in blocks containing gather sequences: 1746 for (BasicBlock::iterator it = BB->begin(), e = BB->end(); it != e;) { 1747 Instruction *In = it++; 1748 if (!isa<InsertElementInst>(In) && !isa<ExtractElementInst>(In)) 1749 continue; 1750 1751 // Check if we can replace this instruction with any of the 1752 // visited instructions. 1753 for (SmallVectorImpl<Instruction *>::iterator v = Visited.begin(), 1754 ve = Visited.end(); 1755 v != ve; ++v) { 1756 if (In->isIdenticalTo(*v) && 1757 DT->dominates((*v)->getParent(), In->getParent())) { 1758 In->replaceAllUsesWith(*v); 1759 In->eraseFromParent(); 1760 In = 0; 1761 break; 1762 } 1763 } 1764 if (In) { 1765 assert(std::find(Visited.begin(), Visited.end(), In) == Visited.end()); 1766 Visited.push_back(In); 1767 } 1768 } 1769 } 1770 CSEBlocks.clear(); 1771 GatherSeq.clear(); 1772 } 1773 1774 /// The SLPVectorizer Pass. 1775 struct SLPVectorizer : public FunctionPass { 1776 typedef SmallVector<StoreInst *, 8> StoreList; 1777 typedef MapVector<Value *, StoreList> StoreListMap; 1778 1779 /// Pass identification, replacement for typeid 1780 static char ID; 1781 1782 explicit SLPVectorizer() : FunctionPass(ID) { 1783 initializeSLPVectorizerPass(*PassRegistry::getPassRegistry()); 1784 } 1785 1786 ScalarEvolution *SE; 1787 DataLayout *DL; 1788 TargetTransformInfo *TTI; 1789 AliasAnalysis *AA; 1790 LoopInfo *LI; 1791 DominatorTree *DT; 1792 1793 virtual bool runOnFunction(Function &F) { 1794 if (skipOptnoneFunction(F)) 1795 return false; 1796 1797 SE = &getAnalysis<ScalarEvolution>(); 1798 DL = getAnalysisIfAvailable<DataLayout>(); 1799 TTI = &getAnalysis<TargetTransformInfo>(); 1800 AA = &getAnalysis<AliasAnalysis>(); 1801 LI = &getAnalysis<LoopInfo>(); 1802 DT = &getAnalysis<DominatorTreeWrapperPass>().getDomTree(); 1803 1804 StoreRefs.clear(); 1805 bool Changed = false; 1806 1807 // If the target claims to have no vector registers don't attempt 1808 // vectorization. 1809 if (!TTI->getNumberOfRegisters(true)) 1810 return false; 1811 1812 // Must have DataLayout. We can't require it because some tests run w/o 1813 // triple. 1814 if (!DL) 1815 return false; 1816 1817 // Don't vectorize when the attribute NoImplicitFloat is used. 1818 if (F.hasFnAttribute(Attribute::NoImplicitFloat)) 1819 return false; 1820 1821 DEBUG(dbgs() << "SLP: Analyzing blocks in " << F.getName() << ".\n"); 1822 1823 // Use the bottom up slp vectorizer to construct chains that start with 1824 // he store instructions. 1825 BoUpSLP R(&F, SE, DL, TTI, AA, LI, DT); 1826 1827 // Scan the blocks in the function in post order. 1828 for (po_iterator<BasicBlock*> it = po_begin(&F.getEntryBlock()), 1829 e = po_end(&F.getEntryBlock()); it != e; ++it) { 1830 BasicBlock *BB = *it; 1831 1832 // Vectorize trees that end at stores. 1833 if (unsigned count = collectStores(BB, R)) { 1834 (void)count; 1835 DEBUG(dbgs() << "SLP: Found " << count << " stores to vectorize.\n"); 1836 Changed |= vectorizeStoreChains(R); 1837 } 1838 1839 // Vectorize trees that end at reductions. 1840 Changed |= vectorizeChainsInBlock(BB, R); 1841 } 1842 1843 if (Changed) { 1844 R.optimizeGatherSequence(); 1845 DEBUG(dbgs() << "SLP: vectorized \"" << F.getName() << "\"\n"); 1846 DEBUG(verifyFunction(F)); 1847 } 1848 return Changed; 1849 } 1850 1851 virtual void getAnalysisUsage(AnalysisUsage &AU) const { 1852 FunctionPass::getAnalysisUsage(AU); 1853 AU.addRequired<ScalarEvolution>(); 1854 AU.addRequired<AliasAnalysis>(); 1855 AU.addRequired<TargetTransformInfo>(); 1856 AU.addRequired<LoopInfo>(); 1857 AU.addRequired<DominatorTreeWrapperPass>(); 1858 AU.addPreserved<LoopInfo>(); 1859 AU.addPreserved<DominatorTreeWrapperPass>(); 1860 AU.setPreservesCFG(); 1861 } 1862 1863 private: 1864 1865 /// \brief Collect memory references and sort them according to their base 1866 /// object. We sort the stores to their base objects to reduce the cost of the 1867 /// quadratic search on the stores. TODO: We can further reduce this cost 1868 /// if we flush the chain creation every time we run into a memory barrier. 1869 unsigned collectStores(BasicBlock *BB, BoUpSLP &R); 1870 1871 /// \brief Try to vectorize a chain that starts at two arithmetic instrs. 1872 bool tryToVectorizePair(Value *A, Value *B, BoUpSLP &R); 1873 1874 /// \brief Try to vectorize a list of operands. 1875 /// \returns true if a value was vectorized. 1876 bool tryToVectorizeList(ArrayRef<Value *> VL, BoUpSLP &R); 1877 1878 /// \brief Try to vectorize a chain that may start at the operands of \V; 1879 bool tryToVectorize(BinaryOperator *V, BoUpSLP &R); 1880 1881 /// \brief Vectorize the stores that were collected in StoreRefs. 1882 bool vectorizeStoreChains(BoUpSLP &R); 1883 1884 /// \brief Scan the basic block and look for patterns that are likely to start 1885 /// a vectorization chain. 1886 bool vectorizeChainsInBlock(BasicBlock *BB, BoUpSLP &R); 1887 1888 bool vectorizeStoreChain(ArrayRef<Value *> Chain, int CostThreshold, 1889 BoUpSLP &R); 1890 1891 bool vectorizeStores(ArrayRef<StoreInst *> Stores, int costThreshold, 1892 BoUpSLP &R); 1893 private: 1894 StoreListMap StoreRefs; 1895 }; 1896 1897 /// \brief Check that the Values in the slice in VL array are still existent in 1898 /// the WeakVH array. 1899 /// Vectorization of part of the VL array may cause later values in the VL array 1900 /// to become invalid. We track when this has happened in the WeakVH array. 1901 static bool hasValueBeenRAUWed(ArrayRef<Value *> &VL, 1902 SmallVectorImpl<WeakVH> &VH, 1903 unsigned SliceBegin, 1904 unsigned SliceSize) { 1905 for (unsigned i = SliceBegin; i < SliceBegin + SliceSize; ++i) 1906 if (VH[i] != VL[i]) 1907 return true; 1908 1909 return false; 1910 } 1911 1912 bool SLPVectorizer::vectorizeStoreChain(ArrayRef<Value *> Chain, 1913 int CostThreshold, BoUpSLP &R) { 1914 unsigned ChainLen = Chain.size(); 1915 DEBUG(dbgs() << "SLP: Analyzing a store chain of length " << ChainLen 1916 << "\n"); 1917 Type *StoreTy = cast<StoreInst>(Chain[0])->getValueOperand()->getType(); 1918 unsigned Sz = DL->getTypeSizeInBits(StoreTy); 1919 unsigned VF = MinVecRegSize / Sz; 1920 1921 if (!isPowerOf2_32(Sz) || VF < 2) 1922 return false; 1923 1924 // Keep track of values that were delete by vectorizing in the loop below. 1925 SmallVector<WeakVH, 8> TrackValues(Chain.begin(), Chain.end()); 1926 1927 bool Changed = false; 1928 // Look for profitable vectorizable trees at all offsets, starting at zero. 1929 for (unsigned i = 0, e = ChainLen; i < e; ++i) { 1930 if (i + VF > e) 1931 break; 1932 1933 // Check that a previous iteration of this loop did not delete the Value. 1934 if (hasValueBeenRAUWed(Chain, TrackValues, i, VF)) 1935 continue; 1936 1937 DEBUG(dbgs() << "SLP: Analyzing " << VF << " stores at offset " << i 1938 << "\n"); 1939 ArrayRef<Value *> Operands = Chain.slice(i, VF); 1940 1941 R.buildTree(Operands); 1942 1943 int Cost = R.getTreeCost(); 1944 1945 DEBUG(dbgs() << "SLP: Found cost=" << Cost << " for VF=" << VF << "\n"); 1946 if (Cost < CostThreshold) { 1947 DEBUG(dbgs() << "SLP: Decided to vectorize cost=" << Cost << "\n"); 1948 R.vectorizeTree(); 1949 1950 // Move to the next bundle. 1951 i += VF - 1; 1952 Changed = true; 1953 } 1954 } 1955 1956 return Changed; 1957 } 1958 1959 bool SLPVectorizer::vectorizeStores(ArrayRef<StoreInst *> Stores, 1960 int costThreshold, BoUpSLP &R) { 1961 SetVector<Value *> Heads, Tails; 1962 SmallDenseMap<Value *, Value *> ConsecutiveChain; 1963 1964 // We may run into multiple chains that merge into a single chain. We mark the 1965 // stores that we vectorized so that we don't visit the same store twice. 1966 BoUpSLP::ValueSet VectorizedStores; 1967 bool Changed = false; 1968 1969 // Do a quadratic search on all of the given stores and find 1970 // all of the pairs of stores that follow each other. 1971 for (unsigned i = 0, e = Stores.size(); i < e; ++i) { 1972 for (unsigned j = 0; j < e; ++j) { 1973 if (i == j) 1974 continue; 1975 1976 if (R.isConsecutiveAccess(Stores[i], Stores[j])) { 1977 Tails.insert(Stores[j]); 1978 Heads.insert(Stores[i]); 1979 ConsecutiveChain[Stores[i]] = Stores[j]; 1980 } 1981 } 1982 } 1983 1984 // For stores that start but don't end a link in the chain: 1985 for (SetVector<Value *>::iterator it = Heads.begin(), e = Heads.end(); 1986 it != e; ++it) { 1987 if (Tails.count(*it)) 1988 continue; 1989 1990 // We found a store instr that starts a chain. Now follow the chain and try 1991 // to vectorize it. 1992 BoUpSLP::ValueList Operands; 1993 Value *I = *it; 1994 // Collect the chain into a list. 1995 while (Tails.count(I) || Heads.count(I)) { 1996 if (VectorizedStores.count(I)) 1997 break; 1998 Operands.push_back(I); 1999 // Move to the next value in the chain. 2000 I = ConsecutiveChain[I]; 2001 } 2002 2003 bool Vectorized = vectorizeStoreChain(Operands, costThreshold, R); 2004 2005 // Mark the vectorized stores so that we don't vectorize them again. 2006 if (Vectorized) 2007 VectorizedStores.insert(Operands.begin(), Operands.end()); 2008 Changed |= Vectorized; 2009 } 2010 2011 return Changed; 2012 } 2013 2014 2015 unsigned SLPVectorizer::collectStores(BasicBlock *BB, BoUpSLP &R) { 2016 unsigned count = 0; 2017 StoreRefs.clear(); 2018 for (BasicBlock::iterator it = BB->begin(), e = BB->end(); it != e; ++it) { 2019 StoreInst *SI = dyn_cast<StoreInst>(it); 2020 if (!SI) 2021 continue; 2022 2023 // Don't touch volatile stores. 2024 if (!SI->isSimple()) 2025 continue; 2026 2027 // Check that the pointer points to scalars. 2028 Type *Ty = SI->getValueOperand()->getType(); 2029 if (Ty->isAggregateType() || Ty->isVectorTy()) 2030 return 0; 2031 2032 // Find the base pointer. 2033 Value *Ptr = GetUnderlyingObject(SI->getPointerOperand(), DL); 2034 2035 // Save the store locations. 2036 StoreRefs[Ptr].push_back(SI); 2037 count++; 2038 } 2039 return count; 2040 } 2041 2042 bool SLPVectorizer::tryToVectorizePair(Value *A, Value *B, BoUpSLP &R) { 2043 if (!A || !B) 2044 return false; 2045 Value *VL[] = { A, B }; 2046 return tryToVectorizeList(VL, R); 2047 } 2048 2049 bool SLPVectorizer::tryToVectorizeList(ArrayRef<Value *> VL, BoUpSLP &R) { 2050 if (VL.size() < 2) 2051 return false; 2052 2053 DEBUG(dbgs() << "SLP: Vectorizing a list of length = " << VL.size() << ".\n"); 2054 2055 // Check that all of the parts are scalar instructions of the same type. 2056 Instruction *I0 = dyn_cast<Instruction>(VL[0]); 2057 if (!I0) 2058 return false; 2059 2060 unsigned Opcode0 = I0->getOpcode(); 2061 2062 Type *Ty0 = I0->getType(); 2063 unsigned Sz = DL->getTypeSizeInBits(Ty0); 2064 unsigned VF = MinVecRegSize / Sz; 2065 2066 for (int i = 0, e = VL.size(); i < e; ++i) { 2067 Type *Ty = VL[i]->getType(); 2068 if (Ty->isAggregateType() || Ty->isVectorTy()) 2069 return false; 2070 Instruction *Inst = dyn_cast<Instruction>(VL[i]); 2071 if (!Inst || Inst->getOpcode() != Opcode0) 2072 return false; 2073 } 2074 2075 bool Changed = false; 2076 2077 // Keep track of values that were delete by vectorizing in the loop below. 2078 SmallVector<WeakVH, 8> TrackValues(VL.begin(), VL.end()); 2079 2080 for (unsigned i = 0, e = VL.size(); i < e; ++i) { 2081 unsigned OpsWidth = 0; 2082 2083 if (i + VF > e) 2084 OpsWidth = e - i; 2085 else 2086 OpsWidth = VF; 2087 2088 if (!isPowerOf2_32(OpsWidth) || OpsWidth < 2) 2089 break; 2090 2091 // Check that a previous iteration of this loop did not delete the Value. 2092 if (hasValueBeenRAUWed(VL, TrackValues, i, OpsWidth)) 2093 continue; 2094 2095 DEBUG(dbgs() << "SLP: Analyzing " << OpsWidth << " operations " 2096 << "\n"); 2097 ArrayRef<Value *> Ops = VL.slice(i, OpsWidth); 2098 2099 R.buildTree(Ops); 2100 int Cost = R.getTreeCost(); 2101 2102 if (Cost < -SLPCostThreshold) { 2103 DEBUG(dbgs() << "SLP: Vectorizing pair at cost:" << Cost << ".\n"); 2104 R.vectorizeTree(); 2105 2106 // Move to the next bundle. 2107 i += VF - 1; 2108 Changed = true; 2109 } 2110 } 2111 2112 return Changed; 2113 } 2114 2115 bool SLPVectorizer::tryToVectorize(BinaryOperator *V, BoUpSLP &R) { 2116 if (!V) 2117 return false; 2118 2119 // Try to vectorize V. 2120 if (tryToVectorizePair(V->getOperand(0), V->getOperand(1), R)) 2121 return true; 2122 2123 BinaryOperator *A = dyn_cast<BinaryOperator>(V->getOperand(0)); 2124 BinaryOperator *B = dyn_cast<BinaryOperator>(V->getOperand(1)); 2125 // Try to skip B. 2126 if (B && B->hasOneUse()) { 2127 BinaryOperator *B0 = dyn_cast<BinaryOperator>(B->getOperand(0)); 2128 BinaryOperator *B1 = dyn_cast<BinaryOperator>(B->getOperand(1)); 2129 if (tryToVectorizePair(A, B0, R)) { 2130 B->moveBefore(V); 2131 return true; 2132 } 2133 if (tryToVectorizePair(A, B1, R)) { 2134 B->moveBefore(V); 2135 return true; 2136 } 2137 } 2138 2139 // Try to skip A. 2140 if (A && A->hasOneUse()) { 2141 BinaryOperator *A0 = dyn_cast<BinaryOperator>(A->getOperand(0)); 2142 BinaryOperator *A1 = dyn_cast<BinaryOperator>(A->getOperand(1)); 2143 if (tryToVectorizePair(A0, B, R)) { 2144 A->moveBefore(V); 2145 return true; 2146 } 2147 if (tryToVectorizePair(A1, B, R)) { 2148 A->moveBefore(V); 2149 return true; 2150 } 2151 } 2152 return 0; 2153 } 2154 2155 /// \brief Generate a shuffle mask to be used in a reduction tree. 2156 /// 2157 /// \param VecLen The length of the vector to be reduced. 2158 /// \param NumEltsToRdx The number of elements that should be reduced in the 2159 /// vector. 2160 /// \param IsPairwise Whether the reduction is a pairwise or splitting 2161 /// reduction. A pairwise reduction will generate a mask of 2162 /// <0,2,...> or <1,3,..> while a splitting reduction will generate 2163 /// <2,3, undef,undef> for a vector of 4 and NumElts = 2. 2164 /// \param IsLeft True will generate a mask of even elements, odd otherwise. 2165 static Value *createRdxShuffleMask(unsigned VecLen, unsigned NumEltsToRdx, 2166 bool IsPairwise, bool IsLeft, 2167 IRBuilder<> &Builder) { 2168 assert((IsPairwise || !IsLeft) && "Don't support a <0,1,undef,...> mask"); 2169 2170 SmallVector<Constant *, 32> ShuffleMask( 2171 VecLen, UndefValue::get(Builder.getInt32Ty())); 2172 2173 if (IsPairwise) 2174 // Build a mask of 0, 2, ... (left) or 1, 3, ... (right). 2175 for (unsigned i = 0; i != NumEltsToRdx; ++i) 2176 ShuffleMask[i] = Builder.getInt32(2 * i + !IsLeft); 2177 else 2178 // Move the upper half of the vector to the lower half. 2179 for (unsigned i = 0; i != NumEltsToRdx; ++i) 2180 ShuffleMask[i] = Builder.getInt32(NumEltsToRdx + i); 2181 2182 return ConstantVector::get(ShuffleMask); 2183 } 2184 2185 2186 /// Model horizontal reductions. 2187 /// 2188 /// A horizontal reduction is a tree of reduction operations (currently add and 2189 /// fadd) that has operations that can be put into a vector as its leaf. 2190 /// For example, this tree: 2191 /// 2192 /// mul mul mul mul 2193 /// \ / \ / 2194 /// + + 2195 /// \ / 2196 /// + 2197 /// This tree has "mul" as its reduced values and "+" as its reduction 2198 /// operations. A reduction might be feeding into a store or a binary operation 2199 /// feeding a phi. 2200 /// ... 2201 /// \ / 2202 /// + 2203 /// | 2204 /// phi += 2205 /// 2206 /// Or: 2207 /// ... 2208 /// \ / 2209 /// + 2210 /// | 2211 /// *p = 2212 /// 2213 class HorizontalReduction { 2214 SmallPtrSet<Value *, 16> ReductionOps; 2215 SmallVector<Value *, 32> ReducedVals; 2216 2217 BinaryOperator *ReductionRoot; 2218 PHINode *ReductionPHI; 2219 2220 /// The opcode of the reduction. 2221 unsigned ReductionOpcode; 2222 /// The opcode of the values we perform a reduction on. 2223 unsigned ReducedValueOpcode; 2224 /// The width of one full horizontal reduction operation. 2225 unsigned ReduxWidth; 2226 /// Should we model this reduction as a pairwise reduction tree or a tree that 2227 /// splits the vector in halves and adds those halves. 2228 bool IsPairwiseReduction; 2229 2230 public: 2231 HorizontalReduction() 2232 : ReductionRoot(0), ReductionPHI(0), ReductionOpcode(0), 2233 ReducedValueOpcode(0), ReduxWidth(0), IsPairwiseReduction(false) {} 2234 2235 /// \brief Try to find a reduction tree. 2236 bool matchAssociativeReduction(PHINode *Phi, BinaryOperator *B, 2237 DataLayout *DL) { 2238 assert((!Phi || 2239 std::find(Phi->op_begin(), Phi->op_end(), B) != Phi->op_end()) && 2240 "Thi phi needs to use the binary operator"); 2241 2242 // We could have a initial reductions that is not an add. 2243 // r *= v1 + v2 + v3 + v4 2244 // In such a case start looking for a tree rooted in the first '+'. 2245 if (Phi) { 2246 if (B->getOperand(0) == Phi) { 2247 Phi = 0; 2248 B = dyn_cast<BinaryOperator>(B->getOperand(1)); 2249 } else if (B->getOperand(1) == Phi) { 2250 Phi = 0; 2251 B = dyn_cast<BinaryOperator>(B->getOperand(0)); 2252 } 2253 } 2254 2255 if (!B) 2256 return false; 2257 2258 Type *Ty = B->getType(); 2259 if (Ty->isVectorTy()) 2260 return false; 2261 2262 ReductionOpcode = B->getOpcode(); 2263 ReducedValueOpcode = 0; 2264 ReduxWidth = MinVecRegSize / DL->getTypeSizeInBits(Ty); 2265 ReductionRoot = B; 2266 ReductionPHI = Phi; 2267 2268 if (ReduxWidth < 4) 2269 return false; 2270 2271 // We currently only support adds. 2272 if (ReductionOpcode != Instruction::Add && 2273 ReductionOpcode != Instruction::FAdd) 2274 return false; 2275 2276 // Post order traverse the reduction tree starting at B. We only handle true 2277 // trees containing only binary operators. 2278 SmallVector<std::pair<BinaryOperator *, unsigned>, 32> Stack; 2279 Stack.push_back(std::make_pair(B, 0)); 2280 while (!Stack.empty()) { 2281 BinaryOperator *TreeN = Stack.back().first; 2282 unsigned EdgeToVist = Stack.back().second++; 2283 bool IsReducedValue = TreeN->getOpcode() != ReductionOpcode; 2284 2285 // Only handle trees in the current basic block. 2286 if (TreeN->getParent() != B->getParent()) 2287 return false; 2288 2289 // Each tree node needs to have one user except for the ultimate 2290 // reduction. 2291 if (!TreeN->hasOneUse() && TreeN != B) 2292 return false; 2293 2294 // Postorder vist. 2295 if (EdgeToVist == 2 || IsReducedValue) { 2296 if (IsReducedValue) { 2297 // Make sure that the opcodes of the operations that we are going to 2298 // reduce match. 2299 if (!ReducedValueOpcode) 2300 ReducedValueOpcode = TreeN->getOpcode(); 2301 else if (ReducedValueOpcode != TreeN->getOpcode()) 2302 return false; 2303 ReducedVals.push_back(TreeN); 2304 } else { 2305 // We need to be able to reassociate the adds. 2306 if (!TreeN->isAssociative()) 2307 return false; 2308 ReductionOps.insert(TreeN); 2309 } 2310 // Retract. 2311 Stack.pop_back(); 2312 continue; 2313 } 2314 2315 // Visit left or right. 2316 Value *NextV = TreeN->getOperand(EdgeToVist); 2317 BinaryOperator *Next = dyn_cast<BinaryOperator>(NextV); 2318 if (Next) 2319 Stack.push_back(std::make_pair(Next, 0)); 2320 else if (NextV != Phi) 2321 return false; 2322 } 2323 return true; 2324 } 2325 2326 /// \brief Attempt to vectorize the tree found by 2327 /// matchAssociativeReduction. 2328 bool tryToReduce(BoUpSLP &V, TargetTransformInfo *TTI) { 2329 if (ReducedVals.empty()) 2330 return false; 2331 2332 unsigned NumReducedVals = ReducedVals.size(); 2333 if (NumReducedVals < ReduxWidth) 2334 return false; 2335 2336 Value *VectorizedTree = 0; 2337 IRBuilder<> Builder(ReductionRoot); 2338 FastMathFlags Unsafe; 2339 Unsafe.setUnsafeAlgebra(); 2340 Builder.SetFastMathFlags(Unsafe); 2341 unsigned i = 0; 2342 2343 for (; i < NumReducedVals - ReduxWidth + 1; i += ReduxWidth) { 2344 ArrayRef<Value *> ValsToReduce(&ReducedVals[i], ReduxWidth); 2345 V.buildTree(ValsToReduce, &ReductionOps); 2346 2347 // Estimate cost. 2348 int Cost = V.getTreeCost() + getReductionCost(TTI, ReducedVals[i]); 2349 if (Cost >= -SLPCostThreshold) 2350 break; 2351 2352 DEBUG(dbgs() << "SLP: Vectorizing horizontal reduction at cost:" << Cost 2353 << ". (HorRdx)\n"); 2354 2355 // Vectorize a tree. 2356 DebugLoc Loc = cast<Instruction>(ReducedVals[i])->getDebugLoc(); 2357 Value *VectorizedRoot = V.vectorizeTree(); 2358 2359 // Emit a reduction. 2360 Value *ReducedSubTree = emitReduction(VectorizedRoot, Builder); 2361 if (VectorizedTree) { 2362 Builder.SetCurrentDebugLocation(Loc); 2363 VectorizedTree = createBinOp(Builder, ReductionOpcode, VectorizedTree, 2364 ReducedSubTree, "bin.rdx"); 2365 } else 2366 VectorizedTree = ReducedSubTree; 2367 } 2368 2369 if (VectorizedTree) { 2370 // Finish the reduction. 2371 for (; i < NumReducedVals; ++i) { 2372 Builder.SetCurrentDebugLocation( 2373 cast<Instruction>(ReducedVals[i])->getDebugLoc()); 2374 VectorizedTree = createBinOp(Builder, ReductionOpcode, VectorizedTree, 2375 ReducedVals[i]); 2376 } 2377 // Update users. 2378 if (ReductionPHI) { 2379 assert(ReductionRoot != NULL && "Need a reduction operation"); 2380 ReductionRoot->setOperand(0, VectorizedTree); 2381 ReductionRoot->setOperand(1, ReductionPHI); 2382 } else 2383 ReductionRoot->replaceAllUsesWith(VectorizedTree); 2384 } 2385 return VectorizedTree != 0; 2386 } 2387 2388 private: 2389 2390 /// \brief Calcuate the cost of a reduction. 2391 int getReductionCost(TargetTransformInfo *TTI, Value *FirstReducedVal) { 2392 Type *ScalarTy = FirstReducedVal->getType(); 2393 Type *VecTy = VectorType::get(ScalarTy, ReduxWidth); 2394 2395 int PairwiseRdxCost = TTI->getReductionCost(ReductionOpcode, VecTy, true); 2396 int SplittingRdxCost = TTI->getReductionCost(ReductionOpcode, VecTy, false); 2397 2398 IsPairwiseReduction = PairwiseRdxCost < SplittingRdxCost; 2399 int VecReduxCost = IsPairwiseReduction ? PairwiseRdxCost : SplittingRdxCost; 2400 2401 int ScalarReduxCost = 2402 ReduxWidth * TTI->getArithmeticInstrCost(ReductionOpcode, VecTy); 2403 2404 DEBUG(dbgs() << "SLP: Adding cost " << VecReduxCost - ScalarReduxCost 2405 << " for reduction that starts with " << *FirstReducedVal 2406 << " (It is a " 2407 << (IsPairwiseReduction ? "pairwise" : "splitting") 2408 << " reduction)\n"); 2409 2410 return VecReduxCost - ScalarReduxCost; 2411 } 2412 2413 static Value *createBinOp(IRBuilder<> &Builder, unsigned Opcode, Value *L, 2414 Value *R, const Twine &Name = "") { 2415 if (Opcode == Instruction::FAdd) 2416 return Builder.CreateFAdd(L, R, Name); 2417 return Builder.CreateBinOp((Instruction::BinaryOps)Opcode, L, R, Name); 2418 } 2419 2420 /// \brief Emit a horizontal reduction of the vectorized value. 2421 Value *emitReduction(Value *VectorizedValue, IRBuilder<> &Builder) { 2422 assert(VectorizedValue && "Need to have a vectorized tree node"); 2423 Instruction *ValToReduce = dyn_cast<Instruction>(VectorizedValue); 2424 assert(isPowerOf2_32(ReduxWidth) && 2425 "We only handle power-of-two reductions for now"); 2426 2427 Value *TmpVec = ValToReduce; 2428 for (unsigned i = ReduxWidth / 2; i != 0; i >>= 1) { 2429 if (IsPairwiseReduction) { 2430 Value *LeftMask = 2431 createRdxShuffleMask(ReduxWidth, i, true, true, Builder); 2432 Value *RightMask = 2433 createRdxShuffleMask(ReduxWidth, i, true, false, Builder); 2434 2435 Value *LeftShuf = Builder.CreateShuffleVector( 2436 TmpVec, UndefValue::get(TmpVec->getType()), LeftMask, "rdx.shuf.l"); 2437 Value *RightShuf = Builder.CreateShuffleVector( 2438 TmpVec, UndefValue::get(TmpVec->getType()), (RightMask), 2439 "rdx.shuf.r"); 2440 TmpVec = createBinOp(Builder, ReductionOpcode, LeftShuf, RightShuf, 2441 "bin.rdx"); 2442 } else { 2443 Value *UpperHalf = 2444 createRdxShuffleMask(ReduxWidth, i, false, false, Builder); 2445 Value *Shuf = Builder.CreateShuffleVector( 2446 TmpVec, UndefValue::get(TmpVec->getType()), UpperHalf, "rdx.shuf"); 2447 TmpVec = createBinOp(Builder, ReductionOpcode, TmpVec, Shuf, "bin.rdx"); 2448 } 2449 } 2450 2451 // The result is in the first element of the vector. 2452 return Builder.CreateExtractElement(TmpVec, Builder.getInt32(0)); 2453 } 2454 }; 2455 2456 /// \brief Recognize construction of vectors like 2457 /// %ra = insertelement <4 x float> undef, float %s0, i32 0 2458 /// %rb = insertelement <4 x float> %ra, float %s1, i32 1 2459 /// %rc = insertelement <4 x float> %rb, float %s2, i32 2 2460 /// %rd = insertelement <4 x float> %rc, float %s3, i32 3 2461 /// 2462 /// Returns true if it matches 2463 /// 2464 static bool findBuildVector(InsertElementInst *IE, 2465 SmallVectorImpl<Value *> &Ops) { 2466 if (!isa<UndefValue>(IE->getOperand(0))) 2467 return false; 2468 2469 while (true) { 2470 Ops.push_back(IE->getOperand(1)); 2471 2472 if (IE->use_empty()) 2473 return false; 2474 2475 InsertElementInst *NextUse = dyn_cast<InsertElementInst>(IE->use_back()); 2476 if (!NextUse) 2477 return true; 2478 2479 // If this isn't the final use, make sure the next insertelement is the only 2480 // use. It's OK if the final constructed vector is used multiple times 2481 if (!IE->hasOneUse()) 2482 return false; 2483 2484 IE = NextUse; 2485 } 2486 2487 return false; 2488 } 2489 2490 static bool PhiTypeSorterFunc(Value *V, Value *V2) { 2491 return V->getType() < V2->getType(); 2492 } 2493 2494 bool SLPVectorizer::vectorizeChainsInBlock(BasicBlock *BB, BoUpSLP &R) { 2495 bool Changed = false; 2496 SmallVector<Value *, 4> Incoming; 2497 SmallSet<Value *, 16> VisitedInstrs; 2498 2499 bool HaveVectorizedPhiNodes = true; 2500 while (HaveVectorizedPhiNodes) { 2501 HaveVectorizedPhiNodes = false; 2502 2503 // Collect the incoming values from the PHIs. 2504 Incoming.clear(); 2505 for (BasicBlock::iterator instr = BB->begin(), ie = BB->end(); instr != ie; 2506 ++instr) { 2507 PHINode *P = dyn_cast<PHINode>(instr); 2508 if (!P) 2509 break; 2510 2511 if (!VisitedInstrs.count(P)) 2512 Incoming.push_back(P); 2513 } 2514 2515 // Sort by type. 2516 std::stable_sort(Incoming.begin(), Incoming.end(), PhiTypeSorterFunc); 2517 2518 // Try to vectorize elements base on their type. 2519 for (SmallVector<Value *, 4>::iterator IncIt = Incoming.begin(), 2520 E = Incoming.end(); 2521 IncIt != E;) { 2522 2523 // Look for the next elements with the same type. 2524 SmallVector<Value *, 4>::iterator SameTypeIt = IncIt; 2525 while (SameTypeIt != E && 2526 (*SameTypeIt)->getType() == (*IncIt)->getType()) { 2527 VisitedInstrs.insert(*SameTypeIt); 2528 ++SameTypeIt; 2529 } 2530 2531 // Try to vectorize them. 2532 unsigned NumElts = (SameTypeIt - IncIt); 2533 DEBUG(errs() << "SLP: Trying to vectorize starting at PHIs (" << NumElts << ")\n"); 2534 if (NumElts > 1 && 2535 tryToVectorizeList(ArrayRef<Value *>(IncIt, NumElts), R)) { 2536 // Success start over because instructions might have been changed. 2537 HaveVectorizedPhiNodes = true; 2538 Changed = true; 2539 break; 2540 } 2541 2542 // Start over at the next instruction of a different type (or the end). 2543 IncIt = SameTypeIt; 2544 } 2545 } 2546 2547 VisitedInstrs.clear(); 2548 2549 for (BasicBlock::iterator it = BB->begin(), e = BB->end(); it != e; it++) { 2550 // We may go through BB multiple times so skip the one we have checked. 2551 if (!VisitedInstrs.insert(it)) 2552 continue; 2553 2554 if (isa<DbgInfoIntrinsic>(it)) 2555 continue; 2556 2557 // Try to vectorize reductions that use PHINodes. 2558 if (PHINode *P = dyn_cast<PHINode>(it)) { 2559 // Check that the PHI is a reduction PHI. 2560 if (P->getNumIncomingValues() != 2) 2561 return Changed; 2562 Value *Rdx = 2563 (P->getIncomingBlock(0) == BB 2564 ? (P->getIncomingValue(0)) 2565 : (P->getIncomingBlock(1) == BB ? P->getIncomingValue(1) : 0)); 2566 // Check if this is a Binary Operator. 2567 BinaryOperator *BI = dyn_cast_or_null<BinaryOperator>(Rdx); 2568 if (!BI) 2569 continue; 2570 2571 // Try to match and vectorize a horizontal reduction. 2572 HorizontalReduction HorRdx; 2573 if (ShouldVectorizeHor && 2574 HorRdx.matchAssociativeReduction(P, BI, DL) && 2575 HorRdx.tryToReduce(R, TTI)) { 2576 Changed = true; 2577 it = BB->begin(); 2578 e = BB->end(); 2579 continue; 2580 } 2581 2582 Value *Inst = BI->getOperand(0); 2583 if (Inst == P) 2584 Inst = BI->getOperand(1); 2585 2586 if (tryToVectorize(dyn_cast<BinaryOperator>(Inst), R)) { 2587 // We would like to start over since some instructions are deleted 2588 // and the iterator may become invalid value. 2589 Changed = true; 2590 it = BB->begin(); 2591 e = BB->end(); 2592 continue; 2593 } 2594 2595 continue; 2596 } 2597 2598 // Try to vectorize horizontal reductions feeding into a store. 2599 if (ShouldStartVectorizeHorAtStore) 2600 if (StoreInst *SI = dyn_cast<StoreInst>(it)) 2601 if (BinaryOperator *BinOp = 2602 dyn_cast<BinaryOperator>(SI->getValueOperand())) { 2603 HorizontalReduction HorRdx; 2604 if (((HorRdx.matchAssociativeReduction(0, BinOp, DL) && 2605 HorRdx.tryToReduce(R, TTI)) || 2606 tryToVectorize(BinOp, R))) { 2607 Changed = true; 2608 it = BB->begin(); 2609 e = BB->end(); 2610 continue; 2611 } 2612 } 2613 2614 // Try to vectorize trees that start at compare instructions. 2615 if (CmpInst *CI = dyn_cast<CmpInst>(it)) { 2616 if (tryToVectorizePair(CI->getOperand(0), CI->getOperand(1), R)) { 2617 Changed = true; 2618 // We would like to start over since some instructions are deleted 2619 // and the iterator may become invalid value. 2620 it = BB->begin(); 2621 e = BB->end(); 2622 continue; 2623 } 2624 2625 for (int i = 0; i < 2; ++i) { 2626 if (BinaryOperator *BI = dyn_cast<BinaryOperator>(CI->getOperand(i))) { 2627 if (tryToVectorizePair(BI->getOperand(0), BI->getOperand(1), R)) { 2628 Changed = true; 2629 // We would like to start over since some instructions are deleted 2630 // and the iterator may become invalid value. 2631 it = BB->begin(); 2632 e = BB->end(); 2633 } 2634 } 2635 } 2636 continue; 2637 } 2638 2639 // Try to vectorize trees that start at insertelement instructions. 2640 if (InsertElementInst *IE = dyn_cast<InsertElementInst>(it)) { 2641 SmallVector<Value *, 8> Ops; 2642 if (!findBuildVector(IE, Ops)) 2643 continue; 2644 2645 if (tryToVectorizeList(Ops, R)) { 2646 Changed = true; 2647 it = BB->begin(); 2648 e = BB->end(); 2649 } 2650 2651 continue; 2652 } 2653 } 2654 2655 return Changed; 2656 } 2657 2658 bool SLPVectorizer::vectorizeStoreChains(BoUpSLP &R) { 2659 bool Changed = false; 2660 // Attempt to sort and vectorize each of the store-groups. 2661 for (StoreListMap::iterator it = StoreRefs.begin(), e = StoreRefs.end(); 2662 it != e; ++it) { 2663 if (it->second.size() < 2) 2664 continue; 2665 2666 DEBUG(dbgs() << "SLP: Analyzing a store chain of length " 2667 << it->second.size() << ".\n"); 2668 2669 // Process the stores in chunks of 16. 2670 for (unsigned CI = 0, CE = it->second.size(); CI < CE; CI+=16) { 2671 unsigned Len = std::min<unsigned>(CE - CI, 16); 2672 ArrayRef<StoreInst *> Chunk(&it->second[CI], Len); 2673 Changed |= vectorizeStores(Chunk, -SLPCostThreshold, R); 2674 } 2675 } 2676 return Changed; 2677 } 2678 2679 } // end anonymous namespace 2680 2681 char SLPVectorizer::ID = 0; 2682 static const char lv_name[] = "SLP Vectorizer"; 2683 INITIALIZE_PASS_BEGIN(SLPVectorizer, SV_NAME, lv_name, false, false) 2684 INITIALIZE_AG_DEPENDENCY(AliasAnalysis) 2685 INITIALIZE_AG_DEPENDENCY(TargetTransformInfo) 2686 INITIALIZE_PASS_DEPENDENCY(ScalarEvolution) 2687 INITIALIZE_PASS_DEPENDENCY(LoopSimplify) 2688 INITIALIZE_PASS_END(SLPVectorizer, SV_NAME, lv_name, false, false) 2689 2690 namespace llvm { 2691 Pass *createSLPVectorizerPass() { return new SLPVectorizer(); } 2692 } 2693