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/ScalarEvolution.h"
27 #include "llvm/Analysis/ScalarEvolutionExpressions.h"
28 #include "llvm/Analysis/TargetTransformInfo.h"
29 #include "llvm/Analysis/ValueTracking.h"
30 #include "llvm/Analysis/Verifier.h"
31 #include "llvm/Analysis/LoopInfo.h"
32 #include "llvm/IR/DataLayout.h"
33 #include "llvm/IR/Instructions.h"
34 #include "llvm/IR/IntrinsicInst.h"
35 #include "llvm/IR/IRBuilder.h"
36 #include "llvm/IR/Module.h"
37 #include "llvm/IR/Type.h"
38 #include "llvm/IR/Value.h"
39 #include "llvm/Pass.h"
40 #include "llvm/Support/CommandLine.h"
41 #include "llvm/Support/Debug.h"
42 #include "llvm/Support/raw_ostream.h"
43 #include <algorithm>
44 #include <map>
45
46 using namespace llvm;
47
48 static cl::opt<int>
49 SLPCostThreshold("slp-threshold", cl::init(0), cl::Hidden,
50 cl::desc("Only vectorize if you gain more than this "
51 "number "));
52
53 static cl::opt<bool>
54 ShouldVectorizeHor("slp-vectorize-hor", cl::init(false), cl::Hidden,
55 cl::desc("Attempt to vectorize horizontal reductions"));
56
57 static cl::opt<bool> ShouldStartVectorizeHorAtStore(
58 "slp-vectorize-hor-store", cl::init(false), cl::Hidden,
59 cl::desc(
60 "Attempt to vectorize horizontal reductions feeding into a store"));
61
62 namespace {
63
64 static const unsigned MinVecRegSize = 128;
65
66 static const unsigned RecursionMaxDepth = 12;
67
68 /// A helper class for numbering instructions in multiple blocks.
69 /// Numbers start at zero for each basic block.
70 struct BlockNumbering {
71
BlockNumbering__anon269bb13c0111::BlockNumbering72 BlockNumbering(BasicBlock *Bb) : BB(Bb), Valid(false) {}
73
BlockNumbering__anon269bb13c0111::BlockNumbering74 BlockNumbering() : BB(0), Valid(false) {}
75
numberInstructions__anon269bb13c0111::BlockNumbering76 void numberInstructions() {
77 unsigned Loc = 0;
78 InstrIdx.clear();
79 InstrVec.clear();
80 // Number the instructions in the block.
81 for (BasicBlock::iterator it = BB->begin(), e = BB->end(); it != e; ++it) {
82 InstrIdx[it] = Loc++;
83 InstrVec.push_back(it);
84 assert(InstrVec[InstrIdx[it]] == it && "Invalid allocation");
85 }
86 Valid = true;
87 }
88
getIndex__anon269bb13c0111::BlockNumbering89 int getIndex(Instruction *I) {
90 assert(I->getParent() == BB && "Invalid instruction");
91 if (!Valid)
92 numberInstructions();
93 assert(InstrIdx.count(I) && "Unknown instruction");
94 return InstrIdx[I];
95 }
96
getInstruction__anon269bb13c0111::BlockNumbering97 Instruction *getInstruction(unsigned loc) {
98 if (!Valid)
99 numberInstructions();
100 assert(InstrVec.size() > loc && "Invalid Index");
101 return InstrVec[loc];
102 }
103
forget__anon269bb13c0111::BlockNumbering104 void forget() { Valid = false; }
105
106 private:
107 /// The block we are numbering.
108 BasicBlock *BB;
109 /// Is the block numbered.
110 bool Valid;
111 /// Maps instructions to numbers and back.
112 SmallDenseMap<Instruction *, int> InstrIdx;
113 /// Maps integers to Instructions.
114 SmallVector<Instruction *, 32> InstrVec;
115 };
116
117 /// \returns the parent basic block if all of the instructions in \p VL
118 /// are in the same block or null otherwise.
getSameBlock(ArrayRef<Value * > VL)119 static BasicBlock *getSameBlock(ArrayRef<Value *> VL) {
120 Instruction *I0 = dyn_cast<Instruction>(VL[0]);
121 if (!I0)
122 return 0;
123 BasicBlock *BB = I0->getParent();
124 for (int i = 1, e = VL.size(); i < e; i++) {
125 Instruction *I = dyn_cast<Instruction>(VL[i]);
126 if (!I)
127 return 0;
128
129 if (BB != I->getParent())
130 return 0;
131 }
132 return BB;
133 }
134
135 /// \returns True if all of the values in \p VL are constants.
allConstant(ArrayRef<Value * > VL)136 static bool allConstant(ArrayRef<Value *> VL) {
137 for (unsigned i = 0, e = VL.size(); i < e; ++i)
138 if (!isa<Constant>(VL[i]))
139 return false;
140 return true;
141 }
142
143 /// \returns True if all of the values in \p VL are identical.
isSplat(ArrayRef<Value * > VL)144 static bool isSplat(ArrayRef<Value *> VL) {
145 for (unsigned i = 1, e = VL.size(); i < e; ++i)
146 if (VL[i] != VL[0])
147 return false;
148 return true;
149 }
150
151 /// \returns The opcode if all of the Instructions in \p VL have the same
152 /// opcode, or zero.
getSameOpcode(ArrayRef<Value * > VL)153 static unsigned getSameOpcode(ArrayRef<Value *> VL) {
154 Instruction *I0 = dyn_cast<Instruction>(VL[0]);
155 if (!I0)
156 return 0;
157 unsigned Opcode = I0->getOpcode();
158 for (int i = 1, e = VL.size(); i < e; i++) {
159 Instruction *I = dyn_cast<Instruction>(VL[i]);
160 if (!I || Opcode != I->getOpcode())
161 return 0;
162 }
163 return Opcode;
164 }
165
166 /// \returns \p I after propagating metadata from \p VL.
propagateMetadata(Instruction * I,ArrayRef<Value * > VL)167 static Instruction *propagateMetadata(Instruction *I, ArrayRef<Value *> VL) {
168 Instruction *I0 = cast<Instruction>(VL[0]);
169 SmallVector<std::pair<unsigned, MDNode *>, 4> Metadata;
170 I0->getAllMetadataOtherThanDebugLoc(Metadata);
171
172 for (unsigned i = 0, n = Metadata.size(); i != n; ++i) {
173 unsigned Kind = Metadata[i].first;
174 MDNode *MD = Metadata[i].second;
175
176 for (int i = 1, e = VL.size(); MD && i != e; i++) {
177 Instruction *I = cast<Instruction>(VL[i]);
178 MDNode *IMD = I->getMetadata(Kind);
179
180 switch (Kind) {
181 default:
182 MD = 0; // Remove unknown metadata
183 break;
184 case LLVMContext::MD_tbaa:
185 MD = MDNode::getMostGenericTBAA(MD, IMD);
186 break;
187 case LLVMContext::MD_fpmath:
188 MD = MDNode::getMostGenericFPMath(MD, IMD);
189 break;
190 }
191 }
192 I->setMetadata(Kind, MD);
193 }
194 return I;
195 }
196
197 /// \returns The type that all of the values in \p VL have or null if there
198 /// are different types.
getSameType(ArrayRef<Value * > VL)199 static Type* getSameType(ArrayRef<Value *> VL) {
200 Type *Ty = VL[0]->getType();
201 for (int i = 1, e = VL.size(); i < e; i++)
202 if (VL[i]->getType() != Ty)
203 return 0;
204
205 return Ty;
206 }
207
208 /// \returns True if the ExtractElement instructions in VL can be vectorized
209 /// to use the original vector.
CanReuseExtract(ArrayRef<Value * > VL)210 static bool CanReuseExtract(ArrayRef<Value *> VL) {
211 assert(Instruction::ExtractElement == getSameOpcode(VL) && "Invalid opcode");
212 // Check if all of the extracts come from the same vector and from the
213 // correct offset.
214 Value *VL0 = VL[0];
215 ExtractElementInst *E0 = cast<ExtractElementInst>(VL0);
216 Value *Vec = E0->getOperand(0);
217
218 // We have to extract from the same vector type.
219 unsigned NElts = Vec->getType()->getVectorNumElements();
220
221 if (NElts != VL.size())
222 return false;
223
224 // Check that all of the indices extract from the correct offset.
225 ConstantInt *CI = dyn_cast<ConstantInt>(E0->getOperand(1));
226 if (!CI || CI->getZExtValue())
227 return false;
228
229 for (unsigned i = 1, e = VL.size(); i < e; ++i) {
230 ExtractElementInst *E = cast<ExtractElementInst>(VL[i]);
231 ConstantInt *CI = dyn_cast<ConstantInt>(E->getOperand(1));
232
233 if (!CI || CI->getZExtValue() != i || E->getOperand(0) != Vec)
234 return false;
235 }
236
237 return true;
238 }
239
reorderInputsAccordingToOpcode(ArrayRef<Value * > VL,SmallVectorImpl<Value * > & Left,SmallVectorImpl<Value * > & Right)240 static void reorderInputsAccordingToOpcode(ArrayRef<Value *> VL,
241 SmallVectorImpl<Value *> &Left,
242 SmallVectorImpl<Value *> &Right) {
243
244 SmallVector<Value *, 16> OrigLeft, OrigRight;
245
246 bool AllSameOpcodeLeft = true;
247 bool AllSameOpcodeRight = true;
248 for (unsigned i = 0, e = VL.size(); i != e; ++i) {
249 Instruction *I = cast<Instruction>(VL[i]);
250 Value *V0 = I->getOperand(0);
251 Value *V1 = I->getOperand(1);
252
253 OrigLeft.push_back(V0);
254 OrigRight.push_back(V1);
255
256 Instruction *I0 = dyn_cast<Instruction>(V0);
257 Instruction *I1 = dyn_cast<Instruction>(V1);
258
259 // Check whether all operands on one side have the same opcode. In this case
260 // we want to preserve the original order and not make things worse by
261 // reordering.
262 AllSameOpcodeLeft = I0;
263 AllSameOpcodeRight = I1;
264
265 if (i && AllSameOpcodeLeft) {
266 if(Instruction *P0 = dyn_cast<Instruction>(OrigLeft[i-1])) {
267 if(P0->getOpcode() != I0->getOpcode())
268 AllSameOpcodeLeft = false;
269 } else
270 AllSameOpcodeLeft = false;
271 }
272 if (i && AllSameOpcodeRight) {
273 if(Instruction *P1 = dyn_cast<Instruction>(OrigRight[i-1])) {
274 if(P1->getOpcode() != I1->getOpcode())
275 AllSameOpcodeRight = false;
276 } else
277 AllSameOpcodeRight = false;
278 }
279
280 // Sort two opcodes. In the code below we try to preserve the ability to use
281 // broadcast of values instead of individual inserts.
282 // vl1 = load
283 // vl2 = phi
284 // vr1 = load
285 // vr2 = vr2
286 // = vl1 x vr1
287 // = vl2 x vr2
288 // If we just sorted according to opcode we would leave the first line in
289 // tact but we would swap vl2 with vr2 because opcode(phi) > opcode(load).
290 // = vl1 x vr1
291 // = vr2 x vl2
292 // Because vr2 and vr1 are from the same load we loose the opportunity of a
293 // broadcast for the packed right side in the backend: we have [vr1, vl2]
294 // instead of [vr1, vr2=vr1].
295 if (I0 && I1) {
296 if(!i && I0->getOpcode() > I1->getOpcode()) {
297 Left.push_back(I1);
298 Right.push_back(I0);
299 } else if (i && I0->getOpcode() > I1->getOpcode() && Right[i-1] != I1) {
300 // Try not to destroy a broad cast for no apparent benefit.
301 Left.push_back(I1);
302 Right.push_back(I0);
303 } else if (i && I0->getOpcode() == I1->getOpcode() && Right[i-1] == I0) {
304 // Try preserve broadcasts.
305 Left.push_back(I1);
306 Right.push_back(I0);
307 } else if (i && I0->getOpcode() == I1->getOpcode() && Left[i-1] == I1) {
308 // Try preserve broadcasts.
309 Left.push_back(I1);
310 Right.push_back(I0);
311 } else {
312 Left.push_back(I0);
313 Right.push_back(I1);
314 }
315 continue;
316 }
317 // One opcode, put the instruction on the right.
318 if (I0) {
319 Left.push_back(V1);
320 Right.push_back(I0);
321 continue;
322 }
323 Left.push_back(V0);
324 Right.push_back(V1);
325 }
326
327 bool LeftBroadcast = isSplat(Left);
328 bool RightBroadcast = isSplat(Right);
329
330 // Don't reorder if the operands where good to begin with.
331 if (!(LeftBroadcast || RightBroadcast) &&
332 (AllSameOpcodeRight || AllSameOpcodeLeft)) {
333 Left = OrigLeft;
334 Right = OrigRight;
335 }
336 }
337
338 /// Bottom Up SLP Vectorizer.
339 class BoUpSLP {
340 public:
341 typedef SmallVector<Value *, 8> ValueList;
342 typedef SmallVector<Instruction *, 16> InstrList;
343 typedef SmallPtrSet<Value *, 16> ValueSet;
344 typedef SmallVector<StoreInst *, 8> StoreList;
345
BoUpSLP(Function * Func,ScalarEvolution * Se,DataLayout * Dl,TargetTransformInfo * Tti,AliasAnalysis * Aa,LoopInfo * Li,DominatorTree * Dt)346 BoUpSLP(Function *Func, ScalarEvolution *Se, DataLayout *Dl,
347 TargetTransformInfo *Tti, AliasAnalysis *Aa, LoopInfo *Li,
348 DominatorTree *Dt) :
349 F(Func), SE(Se), DL(Dl), TTI(Tti), AA(Aa), LI(Li), DT(Dt),
350 Builder(Se->getContext()) {
351 // Setup the block numbering utility for all of the blocks in the
352 // function.
353 for (Function::iterator it = F->begin(), e = F->end(); it != e; ++it) {
354 BasicBlock *BB = it;
355 BlocksNumbers[BB] = BlockNumbering(BB);
356 }
357 }
358
359 /// \brief Vectorize the tree that starts with the elements in \p VL.
360 /// Returns the vectorized root.
361 Value *vectorizeTree();
362
363 /// \returns the vectorization cost of the subtree that starts at \p VL.
364 /// A negative number means that this is profitable.
365 int getTreeCost();
366
367 /// Construct a vectorizable tree that starts at \p Roots and is possibly
368 /// used by a reduction of \p RdxOps.
369 void buildTree(ArrayRef<Value *> Roots, ValueSet *RdxOps = 0);
370
371 /// Clear the internal data structures that are created by 'buildTree'.
deleteTree()372 void deleteTree() {
373 RdxOps = 0;
374 VectorizableTree.clear();
375 ScalarToTreeEntry.clear();
376 MustGather.clear();
377 ExternalUses.clear();
378 MemBarrierIgnoreList.clear();
379 }
380
381 /// \returns true if the memory operations A and B are consecutive.
382 bool isConsecutiveAccess(Value *A, Value *B);
383
384 /// \brief Perform LICM and CSE on the newly generated gather sequences.
385 void optimizeGatherSequence();
386 private:
387 struct TreeEntry;
388
389 /// \returns the cost of the vectorizable entry.
390 int getEntryCost(TreeEntry *E);
391
392 /// This is the recursive part of buildTree.
393 void buildTree_rec(ArrayRef<Value *> Roots, unsigned Depth);
394
395 /// Vectorize a single entry in the tree.
396 Value *vectorizeTree(TreeEntry *E);
397
398 /// Vectorize a single entry in the tree, starting in \p VL.
399 Value *vectorizeTree(ArrayRef<Value *> VL);
400
401 /// \returns the pointer to the vectorized value if \p VL is already
402 /// vectorized, or NULL. They may happen in cycles.
403 Value *alreadyVectorized(ArrayRef<Value *> VL) const;
404
405 /// \brief Take the pointer operand from the Load/Store instruction.
406 /// \returns NULL if this is not a valid Load/Store instruction.
407 static Value *getPointerOperand(Value *I);
408
409 /// \brief Take the address space operand from the Load/Store instruction.
410 /// \returns -1 if this is not a valid Load/Store instruction.
411 static unsigned getAddressSpaceOperand(Value *I);
412
413 /// \returns the scalarization cost for this type. Scalarization in this
414 /// context means the creation of vectors from a group of scalars.
415 int getGatherCost(Type *Ty);
416
417 /// \returns the scalarization cost for this list of values. Assuming that
418 /// this subtree gets vectorized, we may need to extract the values from the
419 /// roots. This method calculates the cost of extracting the values.
420 int getGatherCost(ArrayRef<Value *> VL);
421
422 /// \returns the AA location that is being access by the instruction.
423 AliasAnalysis::Location getLocation(Instruction *I);
424
425 /// \brief Checks if it is possible to sink an instruction from
426 /// \p Src to \p Dst.
427 /// \returns the pointer to the barrier instruction if we can't sink.
428 Value *getSinkBarrier(Instruction *Src, Instruction *Dst);
429
430 /// \returns the index of the last instruction in the BB from \p VL.
431 int getLastIndex(ArrayRef<Value *> VL);
432
433 /// \returns the Instruction in the bundle \p VL.
434 Instruction *getLastInstruction(ArrayRef<Value *> VL);
435
436 /// \brief Set the Builder insert point to one after the last instruction in
437 /// the bundle
438 void setInsertPointAfterBundle(ArrayRef<Value *> VL);
439
440 /// \returns a vector from a collection of scalars in \p VL.
441 Value *Gather(ArrayRef<Value *> VL, VectorType *Ty);
442
443 /// \returns whether the VectorizableTree is fully vectoriable and will
444 /// be beneficial even the tree height is tiny.
445 bool isFullyVectorizableTinyTree();
446
447 struct TreeEntry {
TreeEntry__anon269bb13c0111::BoUpSLP::TreeEntry448 TreeEntry() : Scalars(), VectorizedValue(0), LastScalarIndex(0),
449 NeedToGather(0) {}
450
451 /// \returns true if the scalars in VL are equal to this entry.
isSame__anon269bb13c0111::BoUpSLP::TreeEntry452 bool isSame(ArrayRef<Value *> VL) const {
453 assert(VL.size() == Scalars.size() && "Invalid size");
454 return std::equal(VL.begin(), VL.end(), Scalars.begin());
455 }
456
457 /// A vector of scalars.
458 ValueList Scalars;
459
460 /// The Scalars are vectorized into this value. It is initialized to Null.
461 Value *VectorizedValue;
462
463 /// The index in the basic block of the last scalar.
464 int LastScalarIndex;
465
466 /// Do we need to gather this sequence ?
467 bool NeedToGather;
468 };
469
470 /// Create a new VectorizableTree entry.
newTreeEntry(ArrayRef<Value * > VL,bool Vectorized)471 TreeEntry *newTreeEntry(ArrayRef<Value *> VL, bool Vectorized) {
472 VectorizableTree.push_back(TreeEntry());
473 int idx = VectorizableTree.size() - 1;
474 TreeEntry *Last = &VectorizableTree[idx];
475 Last->Scalars.insert(Last->Scalars.begin(), VL.begin(), VL.end());
476 Last->NeedToGather = !Vectorized;
477 if (Vectorized) {
478 Last->LastScalarIndex = getLastIndex(VL);
479 for (int i = 0, e = VL.size(); i != e; ++i) {
480 assert(!ScalarToTreeEntry.count(VL[i]) && "Scalar already in tree!");
481 ScalarToTreeEntry[VL[i]] = idx;
482 }
483 } else {
484 Last->LastScalarIndex = 0;
485 MustGather.insert(VL.begin(), VL.end());
486 }
487 return Last;
488 }
489
490 /// -- Vectorization State --
491 /// Holds all of the tree entries.
492 std::vector<TreeEntry> VectorizableTree;
493
494 /// Maps a specific scalar to its tree entry.
495 SmallDenseMap<Value*, int> ScalarToTreeEntry;
496
497 /// A list of scalars that we found that we need to keep as scalars.
498 ValueSet MustGather;
499
500 /// This POD struct describes one external user in the vectorized tree.
501 struct ExternalUser {
ExternalUser__anon269bb13c0111::BoUpSLP::ExternalUser502 ExternalUser (Value *S, llvm::User *U, int L) :
503 Scalar(S), User(U), Lane(L){};
504 // Which scalar in our function.
505 Value *Scalar;
506 // Which user that uses the scalar.
507 llvm::User *User;
508 // Which lane does the scalar belong to.
509 int Lane;
510 };
511 typedef SmallVector<ExternalUser, 16> UserList;
512
513 /// A list of values that need to extracted out of the tree.
514 /// This list holds pairs of (Internal Scalar : External User).
515 UserList ExternalUses;
516
517 /// A list of instructions to ignore while sinking
518 /// memory instructions. This map must be reset between runs of getCost.
519 ValueSet MemBarrierIgnoreList;
520
521 /// Holds all of the instructions that we gathered.
522 SetVector<Instruction *> GatherSeq;
523 /// A list of blocks that we are going to CSE.
524 SmallSet<BasicBlock *, 8> CSEBlocks;
525
526 /// Numbers instructions in different blocks.
527 DenseMap<BasicBlock *, BlockNumbering> BlocksNumbers;
528
529 /// Reduction operators.
530 ValueSet *RdxOps;
531
532 // Analysis and block reference.
533 Function *F;
534 ScalarEvolution *SE;
535 DataLayout *DL;
536 TargetTransformInfo *TTI;
537 AliasAnalysis *AA;
538 LoopInfo *LI;
539 DominatorTree *DT;
540 /// Instruction builder to construct the vectorized tree.
541 IRBuilder<> Builder;
542 };
543
buildTree(ArrayRef<Value * > Roots,ValueSet * Rdx)544 void BoUpSLP::buildTree(ArrayRef<Value *> Roots, ValueSet *Rdx) {
545 deleteTree();
546 RdxOps = Rdx;
547 if (!getSameType(Roots))
548 return;
549 buildTree_rec(Roots, 0);
550
551 // Collect the values that we need to extract from the tree.
552 for (int EIdx = 0, EE = VectorizableTree.size(); EIdx < EE; ++EIdx) {
553 TreeEntry *Entry = &VectorizableTree[EIdx];
554
555 // For each lane:
556 for (int Lane = 0, LE = Entry->Scalars.size(); Lane != LE; ++Lane) {
557 Value *Scalar = Entry->Scalars[Lane];
558
559 // No need to handle users of gathered values.
560 if (Entry->NeedToGather)
561 continue;
562
563 for (Value::use_iterator User = Scalar->use_begin(),
564 UE = Scalar->use_end(); User != UE; ++User) {
565 DEBUG(dbgs() << "SLP: Checking user:" << **User << ".\n");
566
567 // Skip in-tree scalars that become vectors.
568 if (ScalarToTreeEntry.count(*User)) {
569 DEBUG(dbgs() << "SLP: \tInternal user will be removed:" <<
570 **User << ".\n");
571 int Idx = ScalarToTreeEntry[*User]; (void) Idx;
572 assert(!VectorizableTree[Idx].NeedToGather && "Bad state");
573 continue;
574 }
575 Instruction *UserInst = dyn_cast<Instruction>(*User);
576 if (!UserInst)
577 continue;
578
579 // Ignore uses that are part of the reduction.
580 if (Rdx && std::find(Rdx->begin(), Rdx->end(), UserInst) != Rdx->end())
581 continue;
582
583 DEBUG(dbgs() << "SLP: Need to extract:" << **User << " from lane " <<
584 Lane << " from " << *Scalar << ".\n");
585 ExternalUses.push_back(ExternalUser(Scalar, *User, Lane));
586 }
587 }
588 }
589 }
590
591
buildTree_rec(ArrayRef<Value * > VL,unsigned Depth)592 void BoUpSLP::buildTree_rec(ArrayRef<Value *> VL, unsigned Depth) {
593 bool SameTy = getSameType(VL); (void)SameTy;
594 assert(SameTy && "Invalid types!");
595
596 if (Depth == RecursionMaxDepth) {
597 DEBUG(dbgs() << "SLP: Gathering due to max recursion depth.\n");
598 newTreeEntry(VL, false);
599 return;
600 }
601
602 // Don't handle vectors.
603 if (VL[0]->getType()->isVectorTy()) {
604 DEBUG(dbgs() << "SLP: Gathering due to vector type.\n");
605 newTreeEntry(VL, false);
606 return;
607 }
608
609 if (StoreInst *SI = dyn_cast<StoreInst>(VL[0]))
610 if (SI->getValueOperand()->getType()->isVectorTy()) {
611 DEBUG(dbgs() << "SLP: Gathering due to store vector type.\n");
612 newTreeEntry(VL, false);
613 return;
614 }
615
616 // If all of the operands are identical or constant we have a simple solution.
617 if (allConstant(VL) || isSplat(VL) || !getSameBlock(VL) ||
618 !getSameOpcode(VL)) {
619 DEBUG(dbgs() << "SLP: Gathering due to C,S,B,O. \n");
620 newTreeEntry(VL, false);
621 return;
622 }
623
624 // We now know that this is a vector of instructions of the same type from
625 // the same block.
626
627 // Check if this is a duplicate of another entry.
628 if (ScalarToTreeEntry.count(VL[0])) {
629 int Idx = ScalarToTreeEntry[VL[0]];
630 TreeEntry *E = &VectorizableTree[Idx];
631 for (unsigned i = 0, e = VL.size(); i != e; ++i) {
632 DEBUG(dbgs() << "SLP: \tChecking bundle: " << *VL[i] << ".\n");
633 if (E->Scalars[i] != VL[i]) {
634 DEBUG(dbgs() << "SLP: Gathering due to partial overlap.\n");
635 newTreeEntry(VL, false);
636 return;
637 }
638 }
639 DEBUG(dbgs() << "SLP: Perfect diamond merge at " << *VL[0] << ".\n");
640 return;
641 }
642
643 // Check that none of the instructions in the bundle are already in the tree.
644 for (unsigned i = 0, e = VL.size(); i != e; ++i) {
645 if (ScalarToTreeEntry.count(VL[i])) {
646 DEBUG(dbgs() << "SLP: The instruction (" << *VL[i] <<
647 ") is already in tree.\n");
648 newTreeEntry(VL, false);
649 return;
650 }
651 }
652
653 // If any of the scalars appears in the table OR it is marked as a value that
654 // needs to stat scalar then we need to gather the scalars.
655 for (unsigned i = 0, e = VL.size(); i != e; ++i) {
656 if (ScalarToTreeEntry.count(VL[i]) || MustGather.count(VL[i])) {
657 DEBUG(dbgs() << "SLP: Gathering due to gathered scalar. \n");
658 newTreeEntry(VL, false);
659 return;
660 }
661 }
662
663 // Check that all of the users of the scalars that we want to vectorize are
664 // schedulable.
665 Instruction *VL0 = cast<Instruction>(VL[0]);
666 int MyLastIndex = getLastIndex(VL);
667 BasicBlock *BB = cast<Instruction>(VL0)->getParent();
668
669 for (unsigned i = 0, e = VL.size(); i != e; ++i) {
670 Instruction *Scalar = cast<Instruction>(VL[i]);
671 DEBUG(dbgs() << "SLP: Checking users of " << *Scalar << ". \n");
672 for (Value::use_iterator U = Scalar->use_begin(), UE = Scalar->use_end();
673 U != UE; ++U) {
674 DEBUG(dbgs() << "SLP: \tUser " << **U << ". \n");
675 Instruction *User = dyn_cast<Instruction>(*U);
676 if (!User) {
677 DEBUG(dbgs() << "SLP: Gathering due unknown user. \n");
678 newTreeEntry(VL, false);
679 return;
680 }
681
682 // We don't care if the user is in a different basic block.
683 BasicBlock *UserBlock = User->getParent();
684 if (UserBlock != BB) {
685 DEBUG(dbgs() << "SLP: User from a different basic block "
686 << *User << ". \n");
687 continue;
688 }
689
690 // If this is a PHINode within this basic block then we can place the
691 // extract wherever we want.
692 if (isa<PHINode>(*User)) {
693 DEBUG(dbgs() << "SLP: \tWe can schedule PHIs:" << *User << ". \n");
694 continue;
695 }
696
697 // Check if this is a safe in-tree user.
698 if (ScalarToTreeEntry.count(User)) {
699 int Idx = ScalarToTreeEntry[User];
700 int VecLocation = VectorizableTree[Idx].LastScalarIndex;
701 if (VecLocation <= MyLastIndex) {
702 DEBUG(dbgs() << "SLP: Gathering due to unschedulable vector. \n");
703 newTreeEntry(VL, false);
704 return;
705 }
706 DEBUG(dbgs() << "SLP: In-tree user (" << *User << ") at #" <<
707 VecLocation << " vector value (" << *Scalar << ") at #"
708 << MyLastIndex << ".\n");
709 continue;
710 }
711
712 // This user is part of the reduction.
713 if (RdxOps && RdxOps->count(User))
714 continue;
715
716 // Make sure that we can schedule this unknown user.
717 BlockNumbering &BN = BlocksNumbers[BB];
718 int UserIndex = BN.getIndex(User);
719 if (UserIndex < MyLastIndex) {
720
721 DEBUG(dbgs() << "SLP: Can't schedule extractelement for "
722 << *User << ". \n");
723 newTreeEntry(VL, false);
724 return;
725 }
726 }
727 }
728
729 // Check that every instructions appears once in this bundle.
730 for (unsigned i = 0, e = VL.size(); i < e; ++i)
731 for (unsigned j = i+1; j < e; ++j)
732 if (VL[i] == VL[j]) {
733 DEBUG(dbgs() << "SLP: Scalar used twice in bundle.\n");
734 newTreeEntry(VL, false);
735 return;
736 }
737
738 // Check that instructions in this bundle don't reference other instructions.
739 // The runtime of this check is O(N * N-1 * uses(N)) and a typical N is 4.
740 for (unsigned i = 0, e = VL.size(); i < e; ++i) {
741 for (Value::use_iterator U = VL[i]->use_begin(), UE = VL[i]->use_end();
742 U != UE; ++U) {
743 for (unsigned j = 0; j < e; ++j) {
744 if (i != j && *U == VL[j]) {
745 DEBUG(dbgs() << "SLP: Intra-bundle dependencies!" << **U << ". \n");
746 newTreeEntry(VL, false);
747 return;
748 }
749 }
750 }
751 }
752
753 DEBUG(dbgs() << "SLP: We are able to schedule this bundle.\n");
754
755 unsigned Opcode = getSameOpcode(VL);
756
757 // Check if it is safe to sink the loads or the stores.
758 if (Opcode == Instruction::Load || Opcode == Instruction::Store) {
759 Instruction *Last = getLastInstruction(VL);
760
761 for (unsigned i = 0, e = VL.size(); i < e; ++i) {
762 if (VL[i] == Last)
763 continue;
764 Value *Barrier = getSinkBarrier(cast<Instruction>(VL[i]), Last);
765 if (Barrier) {
766 DEBUG(dbgs() << "SLP: Can't sink " << *VL[i] << "\n down to " << *Last
767 << "\n because of " << *Barrier << ". Gathering.\n");
768 newTreeEntry(VL, false);
769 return;
770 }
771 }
772 }
773
774 switch (Opcode) {
775 case Instruction::PHI: {
776 PHINode *PH = dyn_cast<PHINode>(VL0);
777
778 // Check for terminator values (e.g. invoke).
779 for (unsigned j = 0; j < VL.size(); ++j)
780 for (unsigned i = 0, e = PH->getNumIncomingValues(); i < e; ++i) {
781 TerminatorInst *Term = dyn_cast<TerminatorInst>(cast<PHINode>(VL[j])->getIncomingValue(i));
782 if (Term) {
783 DEBUG(dbgs() << "SLP: Need to swizzle PHINodes (TerminatorInst use).\n");
784 newTreeEntry(VL, false);
785 return;
786 }
787 }
788
789 newTreeEntry(VL, true);
790 DEBUG(dbgs() << "SLP: added a vector of PHINodes.\n");
791
792 for (unsigned i = 0, e = PH->getNumIncomingValues(); i < e; ++i) {
793 ValueList Operands;
794 // Prepare the operand vector.
795 for (unsigned j = 0; j < VL.size(); ++j)
796 Operands.push_back(cast<PHINode>(VL[j])->getIncomingValue(i));
797
798 buildTree_rec(Operands, Depth + 1);
799 }
800 return;
801 }
802 case Instruction::ExtractElement: {
803 bool Reuse = CanReuseExtract(VL);
804 if (Reuse) {
805 DEBUG(dbgs() << "SLP: Reusing extract sequence.\n");
806 }
807 newTreeEntry(VL, Reuse);
808 return;
809 }
810 case Instruction::Load: {
811 // Check if the loads are consecutive or of we need to swizzle them.
812 for (unsigned i = 0, e = VL.size() - 1; i < e; ++i) {
813 LoadInst *L = cast<LoadInst>(VL[i]);
814 if (!L->isSimple() || !isConsecutiveAccess(VL[i], VL[i + 1])) {
815 newTreeEntry(VL, false);
816 DEBUG(dbgs() << "SLP: Need to swizzle loads.\n");
817 return;
818 }
819 }
820 newTreeEntry(VL, true);
821 DEBUG(dbgs() << "SLP: added a vector of loads.\n");
822 return;
823 }
824 case Instruction::ZExt:
825 case Instruction::SExt:
826 case Instruction::FPToUI:
827 case Instruction::FPToSI:
828 case Instruction::FPExt:
829 case Instruction::PtrToInt:
830 case Instruction::IntToPtr:
831 case Instruction::SIToFP:
832 case Instruction::UIToFP:
833 case Instruction::Trunc:
834 case Instruction::FPTrunc:
835 case Instruction::BitCast: {
836 Type *SrcTy = VL0->getOperand(0)->getType();
837 for (unsigned i = 0; i < VL.size(); ++i) {
838 Type *Ty = cast<Instruction>(VL[i])->getOperand(0)->getType();
839 if (Ty != SrcTy || Ty->isAggregateType() || Ty->isVectorTy()) {
840 newTreeEntry(VL, false);
841 DEBUG(dbgs() << "SLP: Gathering casts with different src types.\n");
842 return;
843 }
844 }
845 newTreeEntry(VL, true);
846 DEBUG(dbgs() << "SLP: added a vector of casts.\n");
847
848 for (unsigned i = 0, e = VL0->getNumOperands(); i < e; ++i) {
849 ValueList Operands;
850 // Prepare the operand vector.
851 for (unsigned j = 0; j < VL.size(); ++j)
852 Operands.push_back(cast<Instruction>(VL[j])->getOperand(i));
853
854 buildTree_rec(Operands, Depth+1);
855 }
856 return;
857 }
858 case Instruction::ICmp:
859 case Instruction::FCmp: {
860 // Check that all of the compares have the same predicate.
861 CmpInst::Predicate P0 = dyn_cast<CmpInst>(VL0)->getPredicate();
862 Type *ComparedTy = cast<Instruction>(VL[0])->getOperand(0)->getType();
863 for (unsigned i = 1, e = VL.size(); i < e; ++i) {
864 CmpInst *Cmp = cast<CmpInst>(VL[i]);
865 if (Cmp->getPredicate() != P0 ||
866 Cmp->getOperand(0)->getType() != ComparedTy) {
867 newTreeEntry(VL, false);
868 DEBUG(dbgs() << "SLP: Gathering cmp with different predicate.\n");
869 return;
870 }
871 }
872
873 newTreeEntry(VL, true);
874 DEBUG(dbgs() << "SLP: added a vector of compares.\n");
875
876 for (unsigned i = 0, e = VL0->getNumOperands(); i < e; ++i) {
877 ValueList Operands;
878 // Prepare the operand vector.
879 for (unsigned j = 0; j < VL.size(); ++j)
880 Operands.push_back(cast<Instruction>(VL[j])->getOperand(i));
881
882 buildTree_rec(Operands, Depth+1);
883 }
884 return;
885 }
886 case Instruction::Select:
887 case Instruction::Add:
888 case Instruction::FAdd:
889 case Instruction::Sub:
890 case Instruction::FSub:
891 case Instruction::Mul:
892 case Instruction::FMul:
893 case Instruction::UDiv:
894 case Instruction::SDiv:
895 case Instruction::FDiv:
896 case Instruction::URem:
897 case Instruction::SRem:
898 case Instruction::FRem:
899 case Instruction::Shl:
900 case Instruction::LShr:
901 case Instruction::AShr:
902 case Instruction::And:
903 case Instruction::Or:
904 case Instruction::Xor: {
905 newTreeEntry(VL, true);
906 DEBUG(dbgs() << "SLP: added a vector of bin op.\n");
907
908 // Sort operands of the instructions so that each side is more likely to
909 // have the same opcode.
910 if (isa<BinaryOperator>(VL0) && VL0->isCommutative()) {
911 ValueList Left, Right;
912 reorderInputsAccordingToOpcode(VL, Left, Right);
913 buildTree_rec(Left, Depth + 1);
914 buildTree_rec(Right, Depth + 1);
915 return;
916 }
917
918 for (unsigned i = 0, e = VL0->getNumOperands(); i < e; ++i) {
919 ValueList Operands;
920 // Prepare the operand vector.
921 for (unsigned j = 0; j < VL.size(); ++j)
922 Operands.push_back(cast<Instruction>(VL[j])->getOperand(i));
923
924 buildTree_rec(Operands, Depth+1);
925 }
926 return;
927 }
928 case Instruction::Store: {
929 // Check if the stores are consecutive or of we need to swizzle them.
930 for (unsigned i = 0, e = VL.size() - 1; i < e; ++i)
931 if (!isConsecutiveAccess(VL[i], VL[i + 1])) {
932 newTreeEntry(VL, false);
933 DEBUG(dbgs() << "SLP: Non consecutive store.\n");
934 return;
935 }
936
937 newTreeEntry(VL, true);
938 DEBUG(dbgs() << "SLP: added a vector of stores.\n");
939
940 ValueList Operands;
941 for (unsigned j = 0; j < VL.size(); ++j)
942 Operands.push_back(cast<Instruction>(VL[j])->getOperand(0));
943
944 // We can ignore these values because we are sinking them down.
945 MemBarrierIgnoreList.insert(VL.begin(), VL.end());
946 buildTree_rec(Operands, Depth + 1);
947 return;
948 }
949 default:
950 newTreeEntry(VL, false);
951 DEBUG(dbgs() << "SLP: Gathering unknown instruction.\n");
952 return;
953 }
954 }
955
getEntryCost(TreeEntry * E)956 int BoUpSLP::getEntryCost(TreeEntry *E) {
957 ArrayRef<Value*> VL = E->Scalars;
958
959 Type *ScalarTy = VL[0]->getType();
960 if (StoreInst *SI = dyn_cast<StoreInst>(VL[0]))
961 ScalarTy = SI->getValueOperand()->getType();
962 VectorType *VecTy = VectorType::get(ScalarTy, VL.size());
963
964 if (E->NeedToGather) {
965 if (allConstant(VL))
966 return 0;
967 if (isSplat(VL)) {
968 return TTI->getShuffleCost(TargetTransformInfo::SK_Broadcast, VecTy, 0);
969 }
970 return getGatherCost(E->Scalars);
971 }
972
973 assert(getSameOpcode(VL) && getSameType(VL) && getSameBlock(VL) &&
974 "Invalid VL");
975 Instruction *VL0 = cast<Instruction>(VL[0]);
976 unsigned Opcode = VL0->getOpcode();
977 switch (Opcode) {
978 case Instruction::PHI: {
979 return 0;
980 }
981 case Instruction::ExtractElement: {
982 if (CanReuseExtract(VL))
983 return 0;
984 return getGatherCost(VecTy);
985 }
986 case Instruction::ZExt:
987 case Instruction::SExt:
988 case Instruction::FPToUI:
989 case Instruction::FPToSI:
990 case Instruction::FPExt:
991 case Instruction::PtrToInt:
992 case Instruction::IntToPtr:
993 case Instruction::SIToFP:
994 case Instruction::UIToFP:
995 case Instruction::Trunc:
996 case Instruction::FPTrunc:
997 case Instruction::BitCast: {
998 Type *SrcTy = VL0->getOperand(0)->getType();
999
1000 // Calculate the cost of this instruction.
1001 int ScalarCost = VL.size() * TTI->getCastInstrCost(VL0->getOpcode(),
1002 VL0->getType(), SrcTy);
1003
1004 VectorType *SrcVecTy = VectorType::get(SrcTy, VL.size());
1005 int VecCost = TTI->getCastInstrCost(VL0->getOpcode(), VecTy, SrcVecTy);
1006 return VecCost - ScalarCost;
1007 }
1008 case Instruction::FCmp:
1009 case Instruction::ICmp:
1010 case Instruction::Select:
1011 case Instruction::Add:
1012 case Instruction::FAdd:
1013 case Instruction::Sub:
1014 case Instruction::FSub:
1015 case Instruction::Mul:
1016 case Instruction::FMul:
1017 case Instruction::UDiv:
1018 case Instruction::SDiv:
1019 case Instruction::FDiv:
1020 case Instruction::URem:
1021 case Instruction::SRem:
1022 case Instruction::FRem:
1023 case Instruction::Shl:
1024 case Instruction::LShr:
1025 case Instruction::AShr:
1026 case Instruction::And:
1027 case Instruction::Or:
1028 case Instruction::Xor: {
1029 // Calculate the cost of this instruction.
1030 int ScalarCost = 0;
1031 int VecCost = 0;
1032 if (Opcode == Instruction::FCmp || Opcode == Instruction::ICmp ||
1033 Opcode == Instruction::Select) {
1034 VectorType *MaskTy = VectorType::get(Builder.getInt1Ty(), VL.size());
1035 ScalarCost = VecTy->getNumElements() *
1036 TTI->getCmpSelInstrCost(Opcode, ScalarTy, Builder.getInt1Ty());
1037 VecCost = TTI->getCmpSelInstrCost(Opcode, VecTy, MaskTy);
1038 } else {
1039 // Certain instructions can be cheaper to vectorize if they have a
1040 // constant second vector operand.
1041 TargetTransformInfo::OperandValueKind Op1VK =
1042 TargetTransformInfo::OK_AnyValue;
1043 TargetTransformInfo::OperandValueKind Op2VK =
1044 TargetTransformInfo::OK_UniformConstantValue;
1045
1046 // Check whether all second operands are constant.
1047 for (unsigned i = 0; i < VL.size(); ++i)
1048 if (!isa<ConstantInt>(cast<Instruction>(VL[i])->getOperand(1))) {
1049 Op2VK = TargetTransformInfo::OK_AnyValue;
1050 break;
1051 }
1052
1053 ScalarCost =
1054 VecTy->getNumElements() *
1055 TTI->getArithmeticInstrCost(Opcode, ScalarTy, Op1VK, Op2VK);
1056 VecCost = TTI->getArithmeticInstrCost(Opcode, VecTy, Op1VK, Op2VK);
1057 }
1058 return VecCost - ScalarCost;
1059 }
1060 case Instruction::Load: {
1061 // Cost of wide load - cost of scalar loads.
1062 int ScalarLdCost = VecTy->getNumElements() *
1063 TTI->getMemoryOpCost(Instruction::Load, ScalarTy, 1, 0);
1064 int VecLdCost = TTI->getMemoryOpCost(Instruction::Load, VecTy, 1, 0);
1065 return VecLdCost - ScalarLdCost;
1066 }
1067 case Instruction::Store: {
1068 // We know that we can merge the stores. Calculate the cost.
1069 int ScalarStCost = VecTy->getNumElements() *
1070 TTI->getMemoryOpCost(Instruction::Store, ScalarTy, 1, 0);
1071 int VecStCost = TTI->getMemoryOpCost(Instruction::Store, VecTy, 1, 0);
1072 return VecStCost - ScalarStCost;
1073 }
1074 default:
1075 llvm_unreachable("Unknown instruction");
1076 }
1077 }
1078
isFullyVectorizableTinyTree()1079 bool BoUpSLP::isFullyVectorizableTinyTree() {
1080 DEBUG(dbgs() << "SLP: Check whether the tree with height " <<
1081 VectorizableTree.size() << " is fully vectorizable .\n");
1082
1083 // We only handle trees of height 2.
1084 if (VectorizableTree.size() != 2)
1085 return false;
1086
1087 // Gathering cost would be too much for tiny trees.
1088 if (VectorizableTree[0].NeedToGather || VectorizableTree[1].NeedToGather)
1089 return false;
1090
1091 return true;
1092 }
1093
getTreeCost()1094 int BoUpSLP::getTreeCost() {
1095 int Cost = 0;
1096 DEBUG(dbgs() << "SLP: Calculating cost for tree of size " <<
1097 VectorizableTree.size() << ".\n");
1098
1099 // We only vectorize tiny trees if it is fully vectorizable.
1100 if (VectorizableTree.size() < 3 && !isFullyVectorizableTinyTree()) {
1101 if (!VectorizableTree.size()) {
1102 assert(!ExternalUses.size() && "We should not have any external users");
1103 }
1104 return INT_MAX;
1105 }
1106
1107 unsigned BundleWidth = VectorizableTree[0].Scalars.size();
1108
1109 for (unsigned i = 0, e = VectorizableTree.size(); i != e; ++i) {
1110 int C = getEntryCost(&VectorizableTree[i]);
1111 DEBUG(dbgs() << "SLP: Adding cost " << C << " for bundle that starts with "
1112 << *VectorizableTree[i].Scalars[0] << " .\n");
1113 Cost += C;
1114 }
1115
1116 int ExtractCost = 0;
1117 for (UserList::iterator I = ExternalUses.begin(), E = ExternalUses.end();
1118 I != E; ++I) {
1119
1120 VectorType *VecTy = VectorType::get(I->Scalar->getType(), BundleWidth);
1121 ExtractCost += TTI->getVectorInstrCost(Instruction::ExtractElement, VecTy,
1122 I->Lane);
1123 }
1124
1125
1126 DEBUG(dbgs() << "SLP: Total Cost " << Cost + ExtractCost<< ".\n");
1127 return Cost + ExtractCost;
1128 }
1129
getGatherCost(Type * Ty)1130 int BoUpSLP::getGatherCost(Type *Ty) {
1131 int Cost = 0;
1132 for (unsigned i = 0, e = cast<VectorType>(Ty)->getNumElements(); i < e; ++i)
1133 Cost += TTI->getVectorInstrCost(Instruction::InsertElement, Ty, i);
1134 return Cost;
1135 }
1136
getGatherCost(ArrayRef<Value * > VL)1137 int BoUpSLP::getGatherCost(ArrayRef<Value *> VL) {
1138 // Find the type of the operands in VL.
1139 Type *ScalarTy = VL[0]->getType();
1140 if (StoreInst *SI = dyn_cast<StoreInst>(VL[0]))
1141 ScalarTy = SI->getValueOperand()->getType();
1142 VectorType *VecTy = VectorType::get(ScalarTy, VL.size());
1143 // Find the cost of inserting/extracting values from the vector.
1144 return getGatherCost(VecTy);
1145 }
1146
getLocation(Instruction * I)1147 AliasAnalysis::Location BoUpSLP::getLocation(Instruction *I) {
1148 if (StoreInst *SI = dyn_cast<StoreInst>(I))
1149 return AA->getLocation(SI);
1150 if (LoadInst *LI = dyn_cast<LoadInst>(I))
1151 return AA->getLocation(LI);
1152 return AliasAnalysis::Location();
1153 }
1154
getPointerOperand(Value * I)1155 Value *BoUpSLP::getPointerOperand(Value *I) {
1156 if (LoadInst *LI = dyn_cast<LoadInst>(I))
1157 return LI->getPointerOperand();
1158 if (StoreInst *SI = dyn_cast<StoreInst>(I))
1159 return SI->getPointerOperand();
1160 return 0;
1161 }
1162
getAddressSpaceOperand(Value * I)1163 unsigned BoUpSLP::getAddressSpaceOperand(Value *I) {
1164 if (LoadInst *L = dyn_cast<LoadInst>(I))
1165 return L->getPointerAddressSpace();
1166 if (StoreInst *S = dyn_cast<StoreInst>(I))
1167 return S->getPointerAddressSpace();
1168 return -1;
1169 }
1170
isConsecutiveAccess(Value * A,Value * B)1171 bool BoUpSLP::isConsecutiveAccess(Value *A, Value *B) {
1172 Value *PtrA = getPointerOperand(A);
1173 Value *PtrB = getPointerOperand(B);
1174 unsigned ASA = getAddressSpaceOperand(A);
1175 unsigned ASB = getAddressSpaceOperand(B);
1176
1177 // Check that the address spaces match and that the pointers are valid.
1178 if (!PtrA || !PtrB || (ASA != ASB))
1179 return false;
1180
1181 // Make sure that A and B are different pointers of the same type.
1182 if (PtrA == PtrB || PtrA->getType() != PtrB->getType())
1183 return false;
1184
1185 unsigned PtrBitWidth = DL->getPointerSizeInBits(ASA);
1186 Type *Ty = cast<PointerType>(PtrA->getType())->getElementType();
1187 APInt Size(PtrBitWidth, DL->getTypeStoreSize(Ty));
1188
1189 APInt OffsetA(PtrBitWidth, 0), OffsetB(PtrBitWidth, 0);
1190 PtrA = PtrA->stripAndAccumulateInBoundsConstantOffsets(*DL, OffsetA);
1191 PtrB = PtrB->stripAndAccumulateInBoundsConstantOffsets(*DL, OffsetB);
1192
1193 APInt OffsetDelta = OffsetB - OffsetA;
1194
1195 // Check if they are based on the same pointer. That makes the offsets
1196 // sufficient.
1197 if (PtrA == PtrB)
1198 return OffsetDelta == Size;
1199
1200 // Compute the necessary base pointer delta to have the necessary final delta
1201 // equal to the size.
1202 APInt BaseDelta = Size - OffsetDelta;
1203
1204 // Otherwise compute the distance with SCEV between the base pointers.
1205 const SCEV *PtrSCEVA = SE->getSCEV(PtrA);
1206 const SCEV *PtrSCEVB = SE->getSCEV(PtrB);
1207 const SCEV *C = SE->getConstant(BaseDelta);
1208 const SCEV *X = SE->getAddExpr(PtrSCEVA, C);
1209 return X == PtrSCEVB;
1210 }
1211
getSinkBarrier(Instruction * Src,Instruction * Dst)1212 Value *BoUpSLP::getSinkBarrier(Instruction *Src, Instruction *Dst) {
1213 assert(Src->getParent() == Dst->getParent() && "Not the same BB");
1214 BasicBlock::iterator I = Src, E = Dst;
1215 /// Scan all of the instruction from SRC to DST and check if
1216 /// the source may alias.
1217 for (++I; I != E; ++I) {
1218 // Ignore store instructions that are marked as 'ignore'.
1219 if (MemBarrierIgnoreList.count(I))
1220 continue;
1221 if (Src->mayWriteToMemory()) /* Write */ {
1222 if (!I->mayReadOrWriteMemory())
1223 continue;
1224 } else /* Read */ {
1225 if (!I->mayWriteToMemory())
1226 continue;
1227 }
1228 AliasAnalysis::Location A = getLocation(&*I);
1229 AliasAnalysis::Location B = getLocation(Src);
1230
1231 if (!A.Ptr || !B.Ptr || AA->alias(A, B))
1232 return I;
1233 }
1234 return 0;
1235 }
1236
getLastIndex(ArrayRef<Value * > VL)1237 int BoUpSLP::getLastIndex(ArrayRef<Value *> VL) {
1238 BasicBlock *BB = cast<Instruction>(VL[0])->getParent();
1239 assert(BB == getSameBlock(VL) && BlocksNumbers.count(BB) && "Invalid block");
1240 BlockNumbering &BN = BlocksNumbers[BB];
1241
1242 int MaxIdx = BN.getIndex(BB->getFirstNonPHI());
1243 for (unsigned i = 0, e = VL.size(); i < e; ++i)
1244 MaxIdx = std::max(MaxIdx, BN.getIndex(cast<Instruction>(VL[i])));
1245 return MaxIdx;
1246 }
1247
getLastInstruction(ArrayRef<Value * > VL)1248 Instruction *BoUpSLP::getLastInstruction(ArrayRef<Value *> VL) {
1249 BasicBlock *BB = cast<Instruction>(VL[0])->getParent();
1250 assert(BB == getSameBlock(VL) && BlocksNumbers.count(BB) && "Invalid block");
1251 BlockNumbering &BN = BlocksNumbers[BB];
1252
1253 int MaxIdx = BN.getIndex(cast<Instruction>(VL[0]));
1254 for (unsigned i = 1, e = VL.size(); i < e; ++i)
1255 MaxIdx = std::max(MaxIdx, BN.getIndex(cast<Instruction>(VL[i])));
1256 Instruction *I = BN.getInstruction(MaxIdx);
1257 assert(I && "bad location");
1258 return I;
1259 }
1260
setInsertPointAfterBundle(ArrayRef<Value * > VL)1261 void BoUpSLP::setInsertPointAfterBundle(ArrayRef<Value *> VL) {
1262 Instruction *VL0 = cast<Instruction>(VL[0]);
1263 Instruction *LastInst = getLastInstruction(VL);
1264 BasicBlock::iterator NextInst = LastInst;
1265 ++NextInst;
1266 Builder.SetInsertPoint(VL0->getParent(), NextInst);
1267 Builder.SetCurrentDebugLocation(VL0->getDebugLoc());
1268 }
1269
Gather(ArrayRef<Value * > VL,VectorType * Ty)1270 Value *BoUpSLP::Gather(ArrayRef<Value *> VL, VectorType *Ty) {
1271 Value *Vec = UndefValue::get(Ty);
1272 // Generate the 'InsertElement' instruction.
1273 for (unsigned i = 0; i < Ty->getNumElements(); ++i) {
1274 Vec = Builder.CreateInsertElement(Vec, VL[i], Builder.getInt32(i));
1275 if (Instruction *Insrt = dyn_cast<Instruction>(Vec)) {
1276 GatherSeq.insert(Insrt);
1277 CSEBlocks.insert(Insrt->getParent());
1278
1279 // Add to our 'need-to-extract' list.
1280 if (ScalarToTreeEntry.count(VL[i])) {
1281 int Idx = ScalarToTreeEntry[VL[i]];
1282 TreeEntry *E = &VectorizableTree[Idx];
1283 // Find which lane we need to extract.
1284 int FoundLane = -1;
1285 for (unsigned Lane = 0, LE = VL.size(); Lane != LE; ++Lane) {
1286 // Is this the lane of the scalar that we are looking for ?
1287 if (E->Scalars[Lane] == VL[i]) {
1288 FoundLane = Lane;
1289 break;
1290 }
1291 }
1292 assert(FoundLane >= 0 && "Could not find the correct lane");
1293 ExternalUses.push_back(ExternalUser(VL[i], Insrt, FoundLane));
1294 }
1295 }
1296 }
1297
1298 return Vec;
1299 }
1300
alreadyVectorized(ArrayRef<Value * > VL) const1301 Value *BoUpSLP::alreadyVectorized(ArrayRef<Value *> VL) const {
1302 SmallDenseMap<Value*, int>::const_iterator Entry
1303 = ScalarToTreeEntry.find(VL[0]);
1304 if (Entry != ScalarToTreeEntry.end()) {
1305 int Idx = Entry->second;
1306 const TreeEntry *En = &VectorizableTree[Idx];
1307 if (En->isSame(VL) && En->VectorizedValue)
1308 return En->VectorizedValue;
1309 }
1310 return 0;
1311 }
1312
vectorizeTree(ArrayRef<Value * > VL)1313 Value *BoUpSLP::vectorizeTree(ArrayRef<Value *> VL) {
1314 if (ScalarToTreeEntry.count(VL[0])) {
1315 int Idx = ScalarToTreeEntry[VL[0]];
1316 TreeEntry *E = &VectorizableTree[Idx];
1317 if (E->isSame(VL))
1318 return vectorizeTree(E);
1319 }
1320
1321 Type *ScalarTy = VL[0]->getType();
1322 if (StoreInst *SI = dyn_cast<StoreInst>(VL[0]))
1323 ScalarTy = SI->getValueOperand()->getType();
1324 VectorType *VecTy = VectorType::get(ScalarTy, VL.size());
1325
1326 return Gather(VL, VecTy);
1327 }
1328
vectorizeTree(TreeEntry * E)1329 Value *BoUpSLP::vectorizeTree(TreeEntry *E) {
1330 IRBuilder<>::InsertPointGuard Guard(Builder);
1331
1332 if (E->VectorizedValue) {
1333 DEBUG(dbgs() << "SLP: Diamond merged for " << *E->Scalars[0] << ".\n");
1334 return E->VectorizedValue;
1335 }
1336
1337 Instruction *VL0 = cast<Instruction>(E->Scalars[0]);
1338 Type *ScalarTy = VL0->getType();
1339 if (StoreInst *SI = dyn_cast<StoreInst>(VL0))
1340 ScalarTy = SI->getValueOperand()->getType();
1341 VectorType *VecTy = VectorType::get(ScalarTy, E->Scalars.size());
1342
1343 if (E->NeedToGather) {
1344 setInsertPointAfterBundle(E->Scalars);
1345 return Gather(E->Scalars, VecTy);
1346 }
1347
1348 unsigned Opcode = VL0->getOpcode();
1349 assert(Opcode == getSameOpcode(E->Scalars) && "Invalid opcode");
1350
1351 switch (Opcode) {
1352 case Instruction::PHI: {
1353 PHINode *PH = dyn_cast<PHINode>(VL0);
1354 Builder.SetInsertPoint(PH->getParent()->getFirstNonPHI());
1355 Builder.SetCurrentDebugLocation(PH->getDebugLoc());
1356 PHINode *NewPhi = Builder.CreatePHI(VecTy, PH->getNumIncomingValues());
1357 E->VectorizedValue = NewPhi;
1358
1359 // PHINodes may have multiple entries from the same block. We want to
1360 // visit every block once.
1361 SmallSet<BasicBlock*, 4> VisitedBBs;
1362
1363 for (unsigned i = 0, e = PH->getNumIncomingValues(); i < e; ++i) {
1364 ValueList Operands;
1365 BasicBlock *IBB = PH->getIncomingBlock(i);
1366
1367 if (!VisitedBBs.insert(IBB)) {
1368 NewPhi->addIncoming(NewPhi->getIncomingValueForBlock(IBB), IBB);
1369 continue;
1370 }
1371
1372 // Prepare the operand vector.
1373 for (unsigned j = 0; j < E->Scalars.size(); ++j)
1374 Operands.push_back(cast<PHINode>(E->Scalars[j])->
1375 getIncomingValueForBlock(IBB));
1376
1377 Builder.SetInsertPoint(IBB->getTerminator());
1378 Builder.SetCurrentDebugLocation(PH->getDebugLoc());
1379 Value *Vec = vectorizeTree(Operands);
1380 NewPhi->addIncoming(Vec, IBB);
1381 }
1382
1383 assert(NewPhi->getNumIncomingValues() == PH->getNumIncomingValues() &&
1384 "Invalid number of incoming values");
1385 return NewPhi;
1386 }
1387
1388 case Instruction::ExtractElement: {
1389 if (CanReuseExtract(E->Scalars)) {
1390 Value *V = VL0->getOperand(0);
1391 E->VectorizedValue = V;
1392 return V;
1393 }
1394 return Gather(E->Scalars, VecTy);
1395 }
1396 case Instruction::ZExt:
1397 case Instruction::SExt:
1398 case Instruction::FPToUI:
1399 case Instruction::FPToSI:
1400 case Instruction::FPExt:
1401 case Instruction::PtrToInt:
1402 case Instruction::IntToPtr:
1403 case Instruction::SIToFP:
1404 case Instruction::UIToFP:
1405 case Instruction::Trunc:
1406 case Instruction::FPTrunc:
1407 case Instruction::BitCast: {
1408 ValueList INVL;
1409 for (int i = 0, e = E->Scalars.size(); i < e; ++i)
1410 INVL.push_back(cast<Instruction>(E->Scalars[i])->getOperand(0));
1411
1412 setInsertPointAfterBundle(E->Scalars);
1413
1414 Value *InVec = vectorizeTree(INVL);
1415
1416 if (Value *V = alreadyVectorized(E->Scalars))
1417 return V;
1418
1419 CastInst *CI = dyn_cast<CastInst>(VL0);
1420 Value *V = Builder.CreateCast(CI->getOpcode(), InVec, VecTy);
1421 E->VectorizedValue = V;
1422 return V;
1423 }
1424 case Instruction::FCmp:
1425 case Instruction::ICmp: {
1426 ValueList LHSV, RHSV;
1427 for (int i = 0, e = E->Scalars.size(); i < e; ++i) {
1428 LHSV.push_back(cast<Instruction>(E->Scalars[i])->getOperand(0));
1429 RHSV.push_back(cast<Instruction>(E->Scalars[i])->getOperand(1));
1430 }
1431
1432 setInsertPointAfterBundle(E->Scalars);
1433
1434 Value *L = vectorizeTree(LHSV);
1435 Value *R = vectorizeTree(RHSV);
1436
1437 if (Value *V = alreadyVectorized(E->Scalars))
1438 return V;
1439
1440 CmpInst::Predicate P0 = dyn_cast<CmpInst>(VL0)->getPredicate();
1441 Value *V;
1442 if (Opcode == Instruction::FCmp)
1443 V = Builder.CreateFCmp(P0, L, R);
1444 else
1445 V = Builder.CreateICmp(P0, L, R);
1446
1447 E->VectorizedValue = V;
1448 return V;
1449 }
1450 case Instruction::Select: {
1451 ValueList TrueVec, FalseVec, CondVec;
1452 for (int i = 0, e = E->Scalars.size(); i < e; ++i) {
1453 CondVec.push_back(cast<Instruction>(E->Scalars[i])->getOperand(0));
1454 TrueVec.push_back(cast<Instruction>(E->Scalars[i])->getOperand(1));
1455 FalseVec.push_back(cast<Instruction>(E->Scalars[i])->getOperand(2));
1456 }
1457
1458 setInsertPointAfterBundle(E->Scalars);
1459
1460 Value *Cond = vectorizeTree(CondVec);
1461 Value *True = vectorizeTree(TrueVec);
1462 Value *False = vectorizeTree(FalseVec);
1463
1464 if (Value *V = alreadyVectorized(E->Scalars))
1465 return V;
1466
1467 Value *V = Builder.CreateSelect(Cond, True, False);
1468 E->VectorizedValue = V;
1469 return V;
1470 }
1471 case Instruction::Add:
1472 case Instruction::FAdd:
1473 case Instruction::Sub:
1474 case Instruction::FSub:
1475 case Instruction::Mul:
1476 case Instruction::FMul:
1477 case Instruction::UDiv:
1478 case Instruction::SDiv:
1479 case Instruction::FDiv:
1480 case Instruction::URem:
1481 case Instruction::SRem:
1482 case Instruction::FRem:
1483 case Instruction::Shl:
1484 case Instruction::LShr:
1485 case Instruction::AShr:
1486 case Instruction::And:
1487 case Instruction::Or:
1488 case Instruction::Xor: {
1489 ValueList LHSVL, RHSVL;
1490 if (isa<BinaryOperator>(VL0) && VL0->isCommutative())
1491 reorderInputsAccordingToOpcode(E->Scalars, LHSVL, RHSVL);
1492 else
1493 for (int i = 0, e = E->Scalars.size(); i < e; ++i) {
1494 LHSVL.push_back(cast<Instruction>(E->Scalars[i])->getOperand(0));
1495 RHSVL.push_back(cast<Instruction>(E->Scalars[i])->getOperand(1));
1496 }
1497
1498 setInsertPointAfterBundle(E->Scalars);
1499
1500 Value *LHS = vectorizeTree(LHSVL);
1501 Value *RHS = vectorizeTree(RHSVL);
1502
1503 if (LHS == RHS && isa<Instruction>(LHS)) {
1504 assert((VL0->getOperand(0) == VL0->getOperand(1)) && "Invalid order");
1505 }
1506
1507 if (Value *V = alreadyVectorized(E->Scalars))
1508 return V;
1509
1510 BinaryOperator *BinOp = cast<BinaryOperator>(VL0);
1511 Value *V = Builder.CreateBinOp(BinOp->getOpcode(), LHS, RHS);
1512 E->VectorizedValue = V;
1513
1514 if (Instruction *I = dyn_cast<Instruction>(V))
1515 return propagateMetadata(I, E->Scalars);
1516
1517 return V;
1518 }
1519 case Instruction::Load: {
1520 // Loads are inserted at the head of the tree because we don't want to
1521 // sink them all the way down past store instructions.
1522 setInsertPointAfterBundle(E->Scalars);
1523
1524 LoadInst *LI = cast<LoadInst>(VL0);
1525 unsigned AS = LI->getPointerAddressSpace();
1526
1527 Value *VecPtr = Builder.CreateBitCast(LI->getPointerOperand(),
1528 VecTy->getPointerTo(AS));
1529 unsigned Alignment = LI->getAlignment();
1530 LI = Builder.CreateLoad(VecPtr);
1531 LI->setAlignment(Alignment);
1532 E->VectorizedValue = LI;
1533 return propagateMetadata(LI, E->Scalars);
1534 }
1535 case Instruction::Store: {
1536 StoreInst *SI = cast<StoreInst>(VL0);
1537 unsigned Alignment = SI->getAlignment();
1538 unsigned AS = SI->getPointerAddressSpace();
1539
1540 ValueList ValueOp;
1541 for (int i = 0, e = E->Scalars.size(); i < e; ++i)
1542 ValueOp.push_back(cast<StoreInst>(E->Scalars[i])->getValueOperand());
1543
1544 setInsertPointAfterBundle(E->Scalars);
1545
1546 Value *VecValue = vectorizeTree(ValueOp);
1547 Value *VecPtr = Builder.CreateBitCast(SI->getPointerOperand(),
1548 VecTy->getPointerTo(AS));
1549 StoreInst *S = Builder.CreateStore(VecValue, VecPtr);
1550 S->setAlignment(Alignment);
1551 E->VectorizedValue = S;
1552 return propagateMetadata(S, E->Scalars);
1553 }
1554 default:
1555 llvm_unreachable("unknown inst");
1556 }
1557 return 0;
1558 }
1559
vectorizeTree()1560 Value *BoUpSLP::vectorizeTree() {
1561 Builder.SetInsertPoint(F->getEntryBlock().begin());
1562 vectorizeTree(&VectorizableTree[0]);
1563
1564 DEBUG(dbgs() << "SLP: Extracting " << ExternalUses.size() << " values .\n");
1565
1566 // Extract all of the elements with the external uses.
1567 for (UserList::iterator it = ExternalUses.begin(), e = ExternalUses.end();
1568 it != e; ++it) {
1569 Value *Scalar = it->Scalar;
1570 llvm::User *User = it->User;
1571
1572 // Skip users that we already RAUW. This happens when one instruction
1573 // has multiple uses of the same value.
1574 if (std::find(Scalar->use_begin(), Scalar->use_end(), User) ==
1575 Scalar->use_end())
1576 continue;
1577 assert(ScalarToTreeEntry.count(Scalar) && "Invalid scalar");
1578
1579 int Idx = ScalarToTreeEntry[Scalar];
1580 TreeEntry *E = &VectorizableTree[Idx];
1581 assert(!E->NeedToGather && "Extracting from a gather list");
1582
1583 Value *Vec = E->VectorizedValue;
1584 assert(Vec && "Can't find vectorizable value");
1585
1586 Value *Lane = Builder.getInt32(it->Lane);
1587 // Generate extracts for out-of-tree users.
1588 // Find the insertion point for the extractelement lane.
1589 if (PHINode *PN = dyn_cast<PHINode>(Vec)) {
1590 Builder.SetInsertPoint(PN->getParent()->getFirstInsertionPt());
1591 Value *Ex = Builder.CreateExtractElement(Vec, Lane);
1592 CSEBlocks.insert(PN->getParent());
1593 User->replaceUsesOfWith(Scalar, Ex);
1594 } else if (isa<Instruction>(Vec)){
1595 if (PHINode *PH = dyn_cast<PHINode>(User)) {
1596 for (int i = 0, e = PH->getNumIncomingValues(); i != e; ++i) {
1597 if (PH->getIncomingValue(i) == Scalar) {
1598 Builder.SetInsertPoint(PH->getIncomingBlock(i)->getTerminator());
1599 Value *Ex = Builder.CreateExtractElement(Vec, Lane);
1600 CSEBlocks.insert(PH->getIncomingBlock(i));
1601 PH->setOperand(i, Ex);
1602 }
1603 }
1604 } else {
1605 Builder.SetInsertPoint(cast<Instruction>(User));
1606 Value *Ex = Builder.CreateExtractElement(Vec, Lane);
1607 CSEBlocks.insert(cast<Instruction>(User)->getParent());
1608 User->replaceUsesOfWith(Scalar, Ex);
1609 }
1610 } else {
1611 Builder.SetInsertPoint(F->getEntryBlock().begin());
1612 Value *Ex = Builder.CreateExtractElement(Vec, Lane);
1613 CSEBlocks.insert(&F->getEntryBlock());
1614 User->replaceUsesOfWith(Scalar, Ex);
1615 }
1616
1617 DEBUG(dbgs() << "SLP: Replaced:" << *User << ".\n");
1618 }
1619
1620 // For each vectorized value:
1621 for (int EIdx = 0, EE = VectorizableTree.size(); EIdx < EE; ++EIdx) {
1622 TreeEntry *Entry = &VectorizableTree[EIdx];
1623
1624 // For each lane:
1625 for (int Lane = 0, LE = Entry->Scalars.size(); Lane != LE; ++Lane) {
1626 Value *Scalar = Entry->Scalars[Lane];
1627
1628 // No need to handle users of gathered values.
1629 if (Entry->NeedToGather)
1630 continue;
1631
1632 assert(Entry->VectorizedValue && "Can't find vectorizable value");
1633
1634 Type *Ty = Scalar->getType();
1635 if (!Ty->isVoidTy()) {
1636 for (Value::use_iterator User = Scalar->use_begin(),
1637 UE = Scalar->use_end(); User != UE; ++User) {
1638 DEBUG(dbgs() << "SLP: \tvalidating user:" << **User << ".\n");
1639
1640 assert((ScalarToTreeEntry.count(*User) ||
1641 // It is legal to replace the reduction users by undef.
1642 (RdxOps && RdxOps->count(*User))) &&
1643 "Replacing out-of-tree value with undef");
1644 }
1645 Value *Undef = UndefValue::get(Ty);
1646 Scalar->replaceAllUsesWith(Undef);
1647 }
1648 DEBUG(dbgs() << "SLP: \tErasing scalar:" << *Scalar << ".\n");
1649 cast<Instruction>(Scalar)->eraseFromParent();
1650 }
1651 }
1652
1653 for (Function::iterator it = F->begin(), e = F->end(); it != e; ++it) {
1654 BlocksNumbers[it].forget();
1655 }
1656 Builder.ClearInsertionPoint();
1657
1658 return VectorizableTree[0].VectorizedValue;
1659 }
1660
1661 class DTCmp {
1662 const DominatorTree *DT;
1663
1664 public:
DTCmp(const DominatorTree * DT)1665 DTCmp(const DominatorTree *DT) : DT(DT) {}
operator ()(const BasicBlock * A,const BasicBlock * B) const1666 bool operator()(const BasicBlock *A, const BasicBlock *B) const {
1667 return DT->properlyDominates(A, B);
1668 }
1669 };
1670
optimizeGatherSequence()1671 void BoUpSLP::optimizeGatherSequence() {
1672 DEBUG(dbgs() << "SLP: Optimizing " << GatherSeq.size()
1673 << " gather sequences instructions.\n");
1674 // LICM InsertElementInst sequences.
1675 for (SetVector<Instruction *>::iterator it = GatherSeq.begin(),
1676 e = GatherSeq.end(); it != e; ++it) {
1677 InsertElementInst *Insert = dyn_cast<InsertElementInst>(*it);
1678
1679 if (!Insert)
1680 continue;
1681
1682 // Check if this block is inside a loop.
1683 Loop *L = LI->getLoopFor(Insert->getParent());
1684 if (!L)
1685 continue;
1686
1687 // Check if it has a preheader.
1688 BasicBlock *PreHeader = L->getLoopPreheader();
1689 if (!PreHeader)
1690 continue;
1691
1692 // If the vector or the element that we insert into it are
1693 // instructions that are defined in this basic block then we can't
1694 // hoist this instruction.
1695 Instruction *CurrVec = dyn_cast<Instruction>(Insert->getOperand(0));
1696 Instruction *NewElem = dyn_cast<Instruction>(Insert->getOperand(1));
1697 if (CurrVec && L->contains(CurrVec))
1698 continue;
1699 if (NewElem && L->contains(NewElem))
1700 continue;
1701
1702 // We can hoist this instruction. Move it to the pre-header.
1703 Insert->moveBefore(PreHeader->getTerminator());
1704 }
1705
1706 // Sort blocks by domination. This ensures we visit a block after all blocks
1707 // dominating it are visited.
1708 SmallVector<BasicBlock *, 8> CSEWorkList(CSEBlocks.begin(), CSEBlocks.end());
1709 std::stable_sort(CSEWorkList.begin(), CSEWorkList.end(), DTCmp(DT));
1710
1711 // Perform O(N^2) search over the gather sequences and merge identical
1712 // instructions. TODO: We can further optimize this scan if we split the
1713 // instructions into different buckets based on the insert lane.
1714 SmallVector<Instruction *, 16> Visited;
1715 for (SmallVectorImpl<BasicBlock *>::iterator I = CSEWorkList.begin(),
1716 E = CSEWorkList.end();
1717 I != E; ++I) {
1718 assert((I == CSEWorkList.begin() || !DT->dominates(*I, *llvm::prior(I))) &&
1719 "Worklist not sorted properly!");
1720 BasicBlock *BB = *I;
1721 // For all instructions in blocks containing gather sequences:
1722 for (BasicBlock::iterator it = BB->begin(), e = BB->end(); it != e;) {
1723 Instruction *In = it++;
1724 if (!isa<InsertElementInst>(In) && !isa<ExtractElementInst>(In))
1725 continue;
1726
1727 // Check if we can replace this instruction with any of the
1728 // visited instructions.
1729 for (SmallVectorImpl<Instruction *>::iterator v = Visited.begin(),
1730 ve = Visited.end();
1731 v != ve; ++v) {
1732 if (In->isIdenticalTo(*v) &&
1733 DT->dominates((*v)->getParent(), In->getParent())) {
1734 In->replaceAllUsesWith(*v);
1735 In->eraseFromParent();
1736 In = 0;
1737 break;
1738 }
1739 }
1740 if (In) {
1741 assert(std::find(Visited.begin(), Visited.end(), In) == Visited.end());
1742 Visited.push_back(In);
1743 }
1744 }
1745 }
1746 CSEBlocks.clear();
1747 GatherSeq.clear();
1748 }
1749
1750 /// The SLPVectorizer Pass.
1751 struct SLPVectorizer : public FunctionPass {
1752 typedef SmallVector<StoreInst *, 8> StoreList;
1753 typedef MapVector<Value *, StoreList> StoreListMap;
1754
1755 /// Pass identification, replacement for typeid
1756 static char ID;
1757
SLPVectorizer__anon269bb13c0111::SLPVectorizer1758 explicit SLPVectorizer() : FunctionPass(ID) {
1759 initializeSLPVectorizerPass(*PassRegistry::getPassRegistry());
1760 }
1761
1762 ScalarEvolution *SE;
1763 DataLayout *DL;
1764 TargetTransformInfo *TTI;
1765 AliasAnalysis *AA;
1766 LoopInfo *LI;
1767 DominatorTree *DT;
1768
runOnFunction__anon269bb13c0111::SLPVectorizer1769 virtual bool runOnFunction(Function &F) {
1770 SE = &getAnalysis<ScalarEvolution>();
1771 DL = getAnalysisIfAvailable<DataLayout>();
1772 TTI = &getAnalysis<TargetTransformInfo>();
1773 AA = &getAnalysis<AliasAnalysis>();
1774 LI = &getAnalysis<LoopInfo>();
1775 DT = &getAnalysis<DominatorTree>();
1776
1777 StoreRefs.clear();
1778 bool Changed = false;
1779
1780 // If the target claims to have no vector registers don't attempt
1781 // vectorization.
1782 if (!TTI->getNumberOfRegisters(true))
1783 return false;
1784
1785 // Must have DataLayout. We can't require it because some tests run w/o
1786 // triple.
1787 if (!DL)
1788 return false;
1789
1790 // Don't vectorize when the attribute NoImplicitFloat is used.
1791 if (F.hasFnAttribute(Attribute::NoImplicitFloat))
1792 return false;
1793
1794 DEBUG(dbgs() << "SLP: Analyzing blocks in " << F.getName() << ".\n");
1795
1796 // Use the bollom up slp vectorizer to construct chains that start with
1797 // he store instructions.
1798 BoUpSLP R(&F, SE, DL, TTI, AA, LI, DT);
1799
1800 // Scan the blocks in the function in post order.
1801 for (po_iterator<BasicBlock*> it = po_begin(&F.getEntryBlock()),
1802 e = po_end(&F.getEntryBlock()); it != e; ++it) {
1803 BasicBlock *BB = *it;
1804
1805 // Vectorize trees that end at stores.
1806 if (unsigned count = collectStores(BB, R)) {
1807 (void)count;
1808 DEBUG(dbgs() << "SLP: Found " << count << " stores to vectorize.\n");
1809 Changed |= vectorizeStoreChains(R);
1810 }
1811
1812 // Vectorize trees that end at reductions.
1813 Changed |= vectorizeChainsInBlock(BB, R);
1814 }
1815
1816 if (Changed) {
1817 R.optimizeGatherSequence();
1818 DEBUG(dbgs() << "SLP: vectorized \"" << F.getName() << "\"\n");
1819 DEBUG(verifyFunction(F));
1820 }
1821 return Changed;
1822 }
1823
getAnalysisUsage__anon269bb13c0111::SLPVectorizer1824 virtual void getAnalysisUsage(AnalysisUsage &AU) const {
1825 FunctionPass::getAnalysisUsage(AU);
1826 AU.addRequired<ScalarEvolution>();
1827 AU.addRequired<AliasAnalysis>();
1828 AU.addRequired<TargetTransformInfo>();
1829 AU.addRequired<LoopInfo>();
1830 AU.addRequired<DominatorTree>();
1831 AU.addPreserved<LoopInfo>();
1832 AU.addPreserved<DominatorTree>();
1833 AU.setPreservesCFG();
1834 }
1835
1836 private:
1837
1838 /// \brief Collect memory references and sort them according to their base
1839 /// object. We sort the stores to their base objects to reduce the cost of the
1840 /// quadratic search on the stores. TODO: We can further reduce this cost
1841 /// if we flush the chain creation every time we run into a memory barrier.
1842 unsigned collectStores(BasicBlock *BB, BoUpSLP &R);
1843
1844 /// \brief Try to vectorize a chain that starts at two arithmetic instrs.
1845 bool tryToVectorizePair(Value *A, Value *B, BoUpSLP &R);
1846
1847 /// \brief Try to vectorize a list of operands.
1848 /// \returns true if a value was vectorized.
1849 bool tryToVectorizeList(ArrayRef<Value *> VL, BoUpSLP &R);
1850
1851 /// \brief Try to vectorize a chain that may start at the operands of \V;
1852 bool tryToVectorize(BinaryOperator *V, BoUpSLP &R);
1853
1854 /// \brief Vectorize the stores that were collected in StoreRefs.
1855 bool vectorizeStoreChains(BoUpSLP &R);
1856
1857 /// \brief Scan the basic block and look for patterns that are likely to start
1858 /// a vectorization chain.
1859 bool vectorizeChainsInBlock(BasicBlock *BB, BoUpSLP &R);
1860
1861 bool vectorizeStoreChain(ArrayRef<Value *> Chain, int CostThreshold,
1862 BoUpSLP &R);
1863
1864 bool vectorizeStores(ArrayRef<StoreInst *> Stores, int costThreshold,
1865 BoUpSLP &R);
1866 private:
1867 StoreListMap StoreRefs;
1868 };
1869
1870 /// \brief Check that the Values in the slice in VL array are still existant in
1871 /// the WeakVH array.
1872 /// Vectorization of part of the VL array may cause later values in the VL array
1873 /// to become invalid. We track when this has happened in the WeakVH array.
hasValueBeenRAUWed(ArrayRef<Value * > & VL,SmallVectorImpl<WeakVH> & VH,unsigned SliceBegin,unsigned SliceSize)1874 static bool hasValueBeenRAUWed(ArrayRef<Value *> &VL,
1875 SmallVectorImpl<WeakVH> &VH,
1876 unsigned SliceBegin,
1877 unsigned SliceSize) {
1878 for (unsigned i = SliceBegin; i < SliceBegin + SliceSize; ++i)
1879 if (VH[i] != VL[i])
1880 return true;
1881
1882 return false;
1883 }
1884
vectorizeStoreChain(ArrayRef<Value * > Chain,int CostThreshold,BoUpSLP & R)1885 bool SLPVectorizer::vectorizeStoreChain(ArrayRef<Value *> Chain,
1886 int CostThreshold, BoUpSLP &R) {
1887 unsigned ChainLen = Chain.size();
1888 DEBUG(dbgs() << "SLP: Analyzing a store chain of length " << ChainLen
1889 << "\n");
1890 Type *StoreTy = cast<StoreInst>(Chain[0])->getValueOperand()->getType();
1891 unsigned Sz = DL->getTypeSizeInBits(StoreTy);
1892 unsigned VF = MinVecRegSize / Sz;
1893
1894 if (!isPowerOf2_32(Sz) || VF < 2)
1895 return false;
1896
1897 // Keep track of values that were delete by vectorizing in the loop below.
1898 SmallVector<WeakVH, 8> TrackValues(Chain.begin(), Chain.end());
1899
1900 bool Changed = false;
1901 // Look for profitable vectorizable trees at all offsets, starting at zero.
1902 for (unsigned i = 0, e = ChainLen; i < e; ++i) {
1903 if (i + VF > e)
1904 break;
1905
1906 // Check that a previous iteration of this loop did not delete the Value.
1907 if (hasValueBeenRAUWed(Chain, TrackValues, i, VF))
1908 continue;
1909
1910 DEBUG(dbgs() << "SLP: Analyzing " << VF << " stores at offset " << i
1911 << "\n");
1912 ArrayRef<Value *> Operands = Chain.slice(i, VF);
1913
1914 R.buildTree(Operands);
1915
1916 int Cost = R.getTreeCost();
1917
1918 DEBUG(dbgs() << "SLP: Found cost=" << Cost << " for VF=" << VF << "\n");
1919 if (Cost < CostThreshold) {
1920 DEBUG(dbgs() << "SLP: Decided to vectorize cost=" << Cost << "\n");
1921 R.vectorizeTree();
1922
1923 // Move to the next bundle.
1924 i += VF - 1;
1925 Changed = true;
1926 }
1927 }
1928
1929 return Changed;
1930 }
1931
vectorizeStores(ArrayRef<StoreInst * > Stores,int costThreshold,BoUpSLP & R)1932 bool SLPVectorizer::vectorizeStores(ArrayRef<StoreInst *> Stores,
1933 int costThreshold, BoUpSLP &R) {
1934 SetVector<Value *> Heads, Tails;
1935 SmallDenseMap<Value *, Value *> ConsecutiveChain;
1936
1937 // We may run into multiple chains that merge into a single chain. We mark the
1938 // stores that we vectorized so that we don't visit the same store twice.
1939 BoUpSLP::ValueSet VectorizedStores;
1940 bool Changed = false;
1941
1942 // Do a quadratic search on all of the given stores and find
1943 // all of the pairs of stores that follow each other.
1944 for (unsigned i = 0, e = Stores.size(); i < e; ++i) {
1945 for (unsigned j = 0; j < e; ++j) {
1946 if (i == j)
1947 continue;
1948
1949 if (R.isConsecutiveAccess(Stores[i], Stores[j])) {
1950 Tails.insert(Stores[j]);
1951 Heads.insert(Stores[i]);
1952 ConsecutiveChain[Stores[i]] = Stores[j];
1953 }
1954 }
1955 }
1956
1957 // For stores that start but don't end a link in the chain:
1958 for (SetVector<Value *>::iterator it = Heads.begin(), e = Heads.end();
1959 it != e; ++it) {
1960 if (Tails.count(*it))
1961 continue;
1962
1963 // We found a store instr that starts a chain. Now follow the chain and try
1964 // to vectorize it.
1965 BoUpSLP::ValueList Operands;
1966 Value *I = *it;
1967 // Collect the chain into a list.
1968 while (Tails.count(I) || Heads.count(I)) {
1969 if (VectorizedStores.count(I))
1970 break;
1971 Operands.push_back(I);
1972 // Move to the next value in the chain.
1973 I = ConsecutiveChain[I];
1974 }
1975
1976 bool Vectorized = vectorizeStoreChain(Operands, costThreshold, R);
1977
1978 // Mark the vectorized stores so that we don't vectorize them again.
1979 if (Vectorized)
1980 VectorizedStores.insert(Operands.begin(), Operands.end());
1981 Changed |= Vectorized;
1982 }
1983
1984 return Changed;
1985 }
1986
1987
collectStores(BasicBlock * BB,BoUpSLP & R)1988 unsigned SLPVectorizer::collectStores(BasicBlock *BB, BoUpSLP &R) {
1989 unsigned count = 0;
1990 StoreRefs.clear();
1991 for (BasicBlock::iterator it = BB->begin(), e = BB->end(); it != e; ++it) {
1992 StoreInst *SI = dyn_cast<StoreInst>(it);
1993 if (!SI)
1994 continue;
1995
1996 // Don't touch volatile stores.
1997 if (!SI->isSimple())
1998 continue;
1999
2000 // Check that the pointer points to scalars.
2001 Type *Ty = SI->getValueOperand()->getType();
2002 if (Ty->isAggregateType() || Ty->isVectorTy())
2003 return 0;
2004
2005 // Find the base pointer.
2006 Value *Ptr = GetUnderlyingObject(SI->getPointerOperand(), DL);
2007
2008 // Save the store locations.
2009 StoreRefs[Ptr].push_back(SI);
2010 count++;
2011 }
2012 return count;
2013 }
2014
tryToVectorizePair(Value * A,Value * B,BoUpSLP & R)2015 bool SLPVectorizer::tryToVectorizePair(Value *A, Value *B, BoUpSLP &R) {
2016 if (!A || !B)
2017 return false;
2018 Value *VL[] = { A, B };
2019 return tryToVectorizeList(VL, R);
2020 }
2021
tryToVectorizeList(ArrayRef<Value * > VL,BoUpSLP & R)2022 bool SLPVectorizer::tryToVectorizeList(ArrayRef<Value *> VL, BoUpSLP &R) {
2023 if (VL.size() < 2)
2024 return false;
2025
2026 DEBUG(dbgs() << "SLP: Vectorizing a list of length = " << VL.size() << ".\n");
2027
2028 // Check that all of the parts are scalar instructions of the same type.
2029 Instruction *I0 = dyn_cast<Instruction>(VL[0]);
2030 if (!I0)
2031 return false;
2032
2033 unsigned Opcode0 = I0->getOpcode();
2034
2035 Type *Ty0 = I0->getType();
2036 unsigned Sz = DL->getTypeSizeInBits(Ty0);
2037 unsigned VF = MinVecRegSize / Sz;
2038
2039 for (int i = 0, e = VL.size(); i < e; ++i) {
2040 Type *Ty = VL[i]->getType();
2041 if (Ty->isAggregateType() || Ty->isVectorTy())
2042 return false;
2043 Instruction *Inst = dyn_cast<Instruction>(VL[i]);
2044 if (!Inst || Inst->getOpcode() != Opcode0)
2045 return false;
2046 }
2047
2048 bool Changed = false;
2049
2050 // Keep track of values that were delete by vectorizing in the loop below.
2051 SmallVector<WeakVH, 8> TrackValues(VL.begin(), VL.end());
2052
2053 for (unsigned i = 0, e = VL.size(); i < e; ++i) {
2054 unsigned OpsWidth = 0;
2055
2056 if (i + VF > e)
2057 OpsWidth = e - i;
2058 else
2059 OpsWidth = VF;
2060
2061 if (!isPowerOf2_32(OpsWidth) || OpsWidth < 2)
2062 break;
2063
2064 // Check that a previous iteration of this loop did not delete the Value.
2065 if (hasValueBeenRAUWed(VL, TrackValues, i, OpsWidth))
2066 continue;
2067
2068 DEBUG(dbgs() << "SLP: Analyzing " << OpsWidth << " operations "
2069 << "\n");
2070 ArrayRef<Value *> Ops = VL.slice(i, OpsWidth);
2071
2072 R.buildTree(Ops);
2073 int Cost = R.getTreeCost();
2074
2075 if (Cost < -SLPCostThreshold) {
2076 DEBUG(dbgs() << "SLP: Vectorizing pair at cost:" << Cost << ".\n");
2077 R.vectorizeTree();
2078
2079 // Move to the next bundle.
2080 i += VF - 1;
2081 Changed = true;
2082 }
2083 }
2084
2085 return Changed;
2086 }
2087
tryToVectorize(BinaryOperator * V,BoUpSLP & R)2088 bool SLPVectorizer::tryToVectorize(BinaryOperator *V, BoUpSLP &R) {
2089 if (!V)
2090 return false;
2091
2092 // Try to vectorize V.
2093 if (tryToVectorizePair(V->getOperand(0), V->getOperand(1), R))
2094 return true;
2095
2096 BinaryOperator *A = dyn_cast<BinaryOperator>(V->getOperand(0));
2097 BinaryOperator *B = dyn_cast<BinaryOperator>(V->getOperand(1));
2098 // Try to skip B.
2099 if (B && B->hasOneUse()) {
2100 BinaryOperator *B0 = dyn_cast<BinaryOperator>(B->getOperand(0));
2101 BinaryOperator *B1 = dyn_cast<BinaryOperator>(B->getOperand(1));
2102 if (tryToVectorizePair(A, B0, R)) {
2103 B->moveBefore(V);
2104 return true;
2105 }
2106 if (tryToVectorizePair(A, B1, R)) {
2107 B->moveBefore(V);
2108 return true;
2109 }
2110 }
2111
2112 // Try to skip A.
2113 if (A && A->hasOneUse()) {
2114 BinaryOperator *A0 = dyn_cast<BinaryOperator>(A->getOperand(0));
2115 BinaryOperator *A1 = dyn_cast<BinaryOperator>(A->getOperand(1));
2116 if (tryToVectorizePair(A0, B, R)) {
2117 A->moveBefore(V);
2118 return true;
2119 }
2120 if (tryToVectorizePair(A1, B, R)) {
2121 A->moveBefore(V);
2122 return true;
2123 }
2124 }
2125 return 0;
2126 }
2127
2128 /// \brief Generate a shuffle mask to be used in a reduction tree.
2129 ///
2130 /// \param VecLen The length of the vector to be reduced.
2131 /// \param NumEltsToRdx The number of elements that should be reduced in the
2132 /// vector.
2133 /// \param IsPairwise Whether the reduction is a pairwise or splitting
2134 /// reduction. A pairwise reduction will generate a mask of
2135 /// <0,2,...> or <1,3,..> while a splitting reduction will generate
2136 /// <2,3, undef,undef> for a vector of 4 and NumElts = 2.
2137 /// \param IsLeft True will generate a mask of even elements, odd otherwise.
createRdxShuffleMask(unsigned VecLen,unsigned NumEltsToRdx,bool IsPairwise,bool IsLeft,IRBuilder<> & Builder)2138 static Value *createRdxShuffleMask(unsigned VecLen, unsigned NumEltsToRdx,
2139 bool IsPairwise, bool IsLeft,
2140 IRBuilder<> &Builder) {
2141 assert((IsPairwise || !IsLeft) && "Don't support a <0,1,undef,...> mask");
2142
2143 SmallVector<Constant *, 32> ShuffleMask(
2144 VecLen, UndefValue::get(Builder.getInt32Ty()));
2145
2146 if (IsPairwise)
2147 // Build a mask of 0, 2, ... (left) or 1, 3, ... (right).
2148 for (unsigned i = 0; i != NumEltsToRdx; ++i)
2149 ShuffleMask[i] = Builder.getInt32(2 * i + !IsLeft);
2150 else
2151 // Move the upper half of the vector to the lower half.
2152 for (unsigned i = 0; i != NumEltsToRdx; ++i)
2153 ShuffleMask[i] = Builder.getInt32(NumEltsToRdx + i);
2154
2155 return ConstantVector::get(ShuffleMask);
2156 }
2157
2158
2159 /// Model horizontal reductions.
2160 ///
2161 /// A horizontal reduction is a tree of reduction operations (currently add and
2162 /// fadd) that has operations that can be put into a vector as its leaf.
2163 /// For example, this tree:
2164 ///
2165 /// mul mul mul mul
2166 /// \ / \ /
2167 /// + +
2168 /// \ /
2169 /// +
2170 /// This tree has "mul" as its reduced values and "+" as its reduction
2171 /// operations. A reduction might be feeding into a store or a binary operation
2172 /// feeding a phi.
2173 /// ...
2174 /// \ /
2175 /// +
2176 /// |
2177 /// phi +=
2178 ///
2179 /// Or:
2180 /// ...
2181 /// \ /
2182 /// +
2183 /// |
2184 /// *p =
2185 ///
2186 class HorizontalReduction {
2187 SmallPtrSet<Value *, 16> ReductionOps;
2188 SmallVector<Value *, 32> ReducedVals;
2189
2190 BinaryOperator *ReductionRoot;
2191 PHINode *ReductionPHI;
2192
2193 /// The opcode of the reduction.
2194 unsigned ReductionOpcode;
2195 /// The opcode of the values we perform a reduction on.
2196 unsigned ReducedValueOpcode;
2197 /// The width of one full horizontal reduction operation.
2198 unsigned ReduxWidth;
2199 /// Should we model this reduction as a pairwise reduction tree or a tree that
2200 /// splits the vector in halves and adds those halves.
2201 bool IsPairwiseReduction;
2202
2203 public:
HorizontalReduction()2204 HorizontalReduction()
2205 : ReductionRoot(0), ReductionPHI(0), ReductionOpcode(0),
2206 ReducedValueOpcode(0), ReduxWidth(0), IsPairwiseReduction(false) {}
2207
2208 /// \brief Try to find a reduction tree.
matchAssociativeReduction(PHINode * Phi,BinaryOperator * B,DataLayout * DL)2209 bool matchAssociativeReduction(PHINode *Phi, BinaryOperator *B,
2210 DataLayout *DL) {
2211 assert((!Phi ||
2212 std::find(Phi->op_begin(), Phi->op_end(), B) != Phi->op_end()) &&
2213 "Thi phi needs to use the binary operator");
2214
2215 // We could have a initial reductions that is not an add.
2216 // r *= v1 + v2 + v3 + v4
2217 // In such a case start looking for a tree rooted in the first '+'.
2218 if (Phi) {
2219 if (B->getOperand(0) == Phi) {
2220 Phi = 0;
2221 B = dyn_cast<BinaryOperator>(B->getOperand(1));
2222 } else if (B->getOperand(1) == Phi) {
2223 Phi = 0;
2224 B = dyn_cast<BinaryOperator>(B->getOperand(0));
2225 }
2226 }
2227
2228 if (!B)
2229 return false;
2230
2231 Type *Ty = B->getType();
2232 if (Ty->isVectorTy())
2233 return false;
2234
2235 ReductionOpcode = B->getOpcode();
2236 ReducedValueOpcode = 0;
2237 ReduxWidth = MinVecRegSize / DL->getTypeSizeInBits(Ty);
2238 ReductionRoot = B;
2239 ReductionPHI = Phi;
2240
2241 if (ReduxWidth < 4)
2242 return false;
2243
2244 // We currently only support adds.
2245 if (ReductionOpcode != Instruction::Add &&
2246 ReductionOpcode != Instruction::FAdd)
2247 return false;
2248
2249 // Post order traverse the reduction tree starting at B. We only handle true
2250 // trees containing only binary operators.
2251 SmallVector<std::pair<BinaryOperator *, unsigned>, 32> Stack;
2252 Stack.push_back(std::make_pair(B, 0));
2253 while (!Stack.empty()) {
2254 BinaryOperator *TreeN = Stack.back().first;
2255 unsigned EdgeToVist = Stack.back().second++;
2256 bool IsReducedValue = TreeN->getOpcode() != ReductionOpcode;
2257
2258 // Only handle trees in the current basic block.
2259 if (TreeN->getParent() != B->getParent())
2260 return false;
2261
2262 // Each tree node needs to have one user except for the ultimate
2263 // reduction.
2264 if (!TreeN->hasOneUse() && TreeN != B)
2265 return false;
2266
2267 // Postorder vist.
2268 if (EdgeToVist == 2 || IsReducedValue) {
2269 if (IsReducedValue) {
2270 // Make sure that the opcodes of the operations that we are going to
2271 // reduce match.
2272 if (!ReducedValueOpcode)
2273 ReducedValueOpcode = TreeN->getOpcode();
2274 else if (ReducedValueOpcode != TreeN->getOpcode())
2275 return false;
2276 ReducedVals.push_back(TreeN);
2277 } else {
2278 // We need to be able to reassociate the adds.
2279 if (!TreeN->isAssociative())
2280 return false;
2281 ReductionOps.insert(TreeN);
2282 }
2283 // Retract.
2284 Stack.pop_back();
2285 continue;
2286 }
2287
2288 // Visit left or right.
2289 Value *NextV = TreeN->getOperand(EdgeToVist);
2290 BinaryOperator *Next = dyn_cast<BinaryOperator>(NextV);
2291 if (Next)
2292 Stack.push_back(std::make_pair(Next, 0));
2293 else if (NextV != Phi)
2294 return false;
2295 }
2296 return true;
2297 }
2298
2299 /// \brief Attempt to vectorize the tree found by
2300 /// matchAssociativeReduction.
tryToReduce(BoUpSLP & V,TargetTransformInfo * TTI)2301 bool tryToReduce(BoUpSLP &V, TargetTransformInfo *TTI) {
2302 if (ReducedVals.empty())
2303 return false;
2304
2305 unsigned NumReducedVals = ReducedVals.size();
2306 if (NumReducedVals < ReduxWidth)
2307 return false;
2308
2309 Value *VectorizedTree = 0;
2310 IRBuilder<> Builder(ReductionRoot);
2311 FastMathFlags Unsafe;
2312 Unsafe.setUnsafeAlgebra();
2313 Builder.SetFastMathFlags(Unsafe);
2314 unsigned i = 0;
2315
2316 for (; i < NumReducedVals - ReduxWidth + 1; i += ReduxWidth) {
2317 ArrayRef<Value *> ValsToReduce(&ReducedVals[i], ReduxWidth);
2318 V.buildTree(ValsToReduce, &ReductionOps);
2319
2320 // Estimate cost.
2321 int Cost = V.getTreeCost() + getReductionCost(TTI, ReducedVals[i]);
2322 if (Cost >= -SLPCostThreshold)
2323 break;
2324
2325 DEBUG(dbgs() << "SLP: Vectorizing horizontal reduction at cost:" << Cost
2326 << ". (HorRdx)\n");
2327
2328 // Vectorize a tree.
2329 DebugLoc Loc = cast<Instruction>(ReducedVals[i])->getDebugLoc();
2330 Value *VectorizedRoot = V.vectorizeTree();
2331
2332 // Emit a reduction.
2333 Value *ReducedSubTree = emitReduction(VectorizedRoot, Builder);
2334 if (VectorizedTree) {
2335 Builder.SetCurrentDebugLocation(Loc);
2336 VectorizedTree = createBinOp(Builder, ReductionOpcode, VectorizedTree,
2337 ReducedSubTree, "bin.rdx");
2338 } else
2339 VectorizedTree = ReducedSubTree;
2340 }
2341
2342 if (VectorizedTree) {
2343 // Finish the reduction.
2344 for (; i < NumReducedVals; ++i) {
2345 Builder.SetCurrentDebugLocation(
2346 cast<Instruction>(ReducedVals[i])->getDebugLoc());
2347 VectorizedTree = createBinOp(Builder, ReductionOpcode, VectorizedTree,
2348 ReducedVals[i]);
2349 }
2350 // Update users.
2351 if (ReductionPHI) {
2352 assert(ReductionRoot != NULL && "Need a reduction operation");
2353 ReductionRoot->setOperand(0, VectorizedTree);
2354 ReductionRoot->setOperand(1, ReductionPHI);
2355 } else
2356 ReductionRoot->replaceAllUsesWith(VectorizedTree);
2357 }
2358 return VectorizedTree != 0;
2359 }
2360
2361 private:
2362
2363 /// \brief Calcuate the cost of a reduction.
getReductionCost(TargetTransformInfo * TTI,Value * FirstReducedVal)2364 int getReductionCost(TargetTransformInfo *TTI, Value *FirstReducedVal) {
2365 Type *ScalarTy = FirstReducedVal->getType();
2366 Type *VecTy = VectorType::get(ScalarTy, ReduxWidth);
2367
2368 int PairwiseRdxCost = TTI->getReductionCost(ReductionOpcode, VecTy, true);
2369 int SplittingRdxCost = TTI->getReductionCost(ReductionOpcode, VecTy, false);
2370
2371 IsPairwiseReduction = PairwiseRdxCost < SplittingRdxCost;
2372 int VecReduxCost = IsPairwiseReduction ? PairwiseRdxCost : SplittingRdxCost;
2373
2374 int ScalarReduxCost =
2375 ReduxWidth * TTI->getArithmeticInstrCost(ReductionOpcode, VecTy);
2376
2377 DEBUG(dbgs() << "SLP: Adding cost " << VecReduxCost - ScalarReduxCost
2378 << " for reduction that starts with " << *FirstReducedVal
2379 << " (It is a "
2380 << (IsPairwiseReduction ? "pairwise" : "splitting")
2381 << " reduction)\n");
2382
2383 return VecReduxCost - ScalarReduxCost;
2384 }
2385
createBinOp(IRBuilder<> & Builder,unsigned Opcode,Value * L,Value * R,const Twine & Name="")2386 static Value *createBinOp(IRBuilder<> &Builder, unsigned Opcode, Value *L,
2387 Value *R, const Twine &Name = "") {
2388 if (Opcode == Instruction::FAdd)
2389 return Builder.CreateFAdd(L, R, Name);
2390 return Builder.CreateBinOp((Instruction::BinaryOps)Opcode, L, R, Name);
2391 }
2392
2393 /// \brief Emit a horizontal reduction of the vectorized value.
emitReduction(Value * VectorizedValue,IRBuilder<> & Builder)2394 Value *emitReduction(Value *VectorizedValue, IRBuilder<> &Builder) {
2395 assert(VectorizedValue && "Need to have a vectorized tree node");
2396 Instruction *ValToReduce = dyn_cast<Instruction>(VectorizedValue);
2397 assert(isPowerOf2_32(ReduxWidth) &&
2398 "We only handle power-of-two reductions for now");
2399
2400 Value *TmpVec = ValToReduce;
2401 for (unsigned i = ReduxWidth / 2; i != 0; i >>= 1) {
2402 if (IsPairwiseReduction) {
2403 Value *LeftMask =
2404 createRdxShuffleMask(ReduxWidth, i, true, true, Builder);
2405 Value *RightMask =
2406 createRdxShuffleMask(ReduxWidth, i, true, false, Builder);
2407
2408 Value *LeftShuf = Builder.CreateShuffleVector(
2409 TmpVec, UndefValue::get(TmpVec->getType()), LeftMask, "rdx.shuf.l");
2410 Value *RightShuf = Builder.CreateShuffleVector(
2411 TmpVec, UndefValue::get(TmpVec->getType()), (RightMask),
2412 "rdx.shuf.r");
2413 TmpVec = createBinOp(Builder, ReductionOpcode, LeftShuf, RightShuf,
2414 "bin.rdx");
2415 } else {
2416 Value *UpperHalf =
2417 createRdxShuffleMask(ReduxWidth, i, false, false, Builder);
2418 Value *Shuf = Builder.CreateShuffleVector(
2419 TmpVec, UndefValue::get(TmpVec->getType()), UpperHalf, "rdx.shuf");
2420 TmpVec = createBinOp(Builder, ReductionOpcode, TmpVec, Shuf, "bin.rdx");
2421 }
2422 }
2423
2424 // The result is in the first element of the vector.
2425 return Builder.CreateExtractElement(TmpVec, Builder.getInt32(0));
2426 }
2427 };
2428
2429 /// \brief Recognize construction of vectors like
2430 /// %ra = insertelement <4 x float> undef, float %s0, i32 0
2431 /// %rb = insertelement <4 x float> %ra, float %s1, i32 1
2432 /// %rc = insertelement <4 x float> %rb, float %s2, i32 2
2433 /// %rd = insertelement <4 x float> %rc, float %s3, i32 3
2434 ///
2435 /// Returns true if it matches
2436 ///
findBuildVector(InsertElementInst * IE,SmallVectorImpl<Value * > & Ops)2437 static bool findBuildVector(InsertElementInst *IE,
2438 SmallVectorImpl<Value *> &Ops) {
2439 if (!isa<UndefValue>(IE->getOperand(0)))
2440 return false;
2441
2442 while (true) {
2443 Ops.push_back(IE->getOperand(1));
2444
2445 if (IE->use_empty())
2446 return false;
2447
2448 InsertElementInst *NextUse = dyn_cast<InsertElementInst>(IE->use_back());
2449 if (!NextUse)
2450 return true;
2451
2452 // If this isn't the final use, make sure the next insertelement is the only
2453 // use. It's OK if the final constructed vector is used multiple times
2454 if (!IE->hasOneUse())
2455 return false;
2456
2457 IE = NextUse;
2458 }
2459
2460 return false;
2461 }
2462
PhiTypeSorterFunc(Value * V,Value * V2)2463 static bool PhiTypeSorterFunc(Value *V, Value *V2) {
2464 return V->getType() < V2->getType();
2465 }
2466
vectorizeChainsInBlock(BasicBlock * BB,BoUpSLP & R)2467 bool SLPVectorizer::vectorizeChainsInBlock(BasicBlock *BB, BoUpSLP &R) {
2468 bool Changed = false;
2469 SmallVector<Value *, 4> Incoming;
2470 SmallSet<Value *, 16> VisitedInstrs;
2471
2472 bool HaveVectorizedPhiNodes = true;
2473 while (HaveVectorizedPhiNodes) {
2474 HaveVectorizedPhiNodes = false;
2475
2476 // Collect the incoming values from the PHIs.
2477 Incoming.clear();
2478 for (BasicBlock::iterator instr = BB->begin(), ie = BB->end(); instr != ie;
2479 ++instr) {
2480 PHINode *P = dyn_cast<PHINode>(instr);
2481 if (!P)
2482 break;
2483
2484 if (!VisitedInstrs.count(P))
2485 Incoming.push_back(P);
2486 }
2487
2488 // Sort by type.
2489 std::stable_sort(Incoming.begin(), Incoming.end(), PhiTypeSorterFunc);
2490
2491 // Try to vectorize elements base on their type.
2492 for (SmallVector<Value *, 4>::iterator IncIt = Incoming.begin(),
2493 E = Incoming.end();
2494 IncIt != E;) {
2495
2496 // Look for the next elements with the same type.
2497 SmallVector<Value *, 4>::iterator SameTypeIt = IncIt;
2498 while (SameTypeIt != E &&
2499 (*SameTypeIt)->getType() == (*IncIt)->getType()) {
2500 VisitedInstrs.insert(*SameTypeIt);
2501 ++SameTypeIt;
2502 }
2503
2504 // Try to vectorize them.
2505 unsigned NumElts = (SameTypeIt - IncIt);
2506 DEBUG(errs() << "SLP: Trying to vectorize starting at PHIs (" << NumElts << ")\n");
2507 if (NumElts > 1 &&
2508 tryToVectorizeList(ArrayRef<Value *>(IncIt, NumElts), R)) {
2509 // Success start over because instructions might have been changed.
2510 HaveVectorizedPhiNodes = true;
2511 Changed = true;
2512 break;
2513 }
2514
2515 // Start over at the next instruction of a differnt type (or the end).
2516 IncIt = SameTypeIt;
2517 }
2518 }
2519
2520 VisitedInstrs.clear();
2521
2522 for (BasicBlock::iterator it = BB->begin(), e = BB->end(); it != e; it++) {
2523 // We may go through BB multiple times so skip the one we have checked.
2524 if (!VisitedInstrs.insert(it))
2525 continue;
2526
2527 if (isa<DbgInfoIntrinsic>(it))
2528 continue;
2529
2530 // Try to vectorize reductions that use PHINodes.
2531 if (PHINode *P = dyn_cast<PHINode>(it)) {
2532 // Check that the PHI is a reduction PHI.
2533 if (P->getNumIncomingValues() != 2)
2534 return Changed;
2535 Value *Rdx =
2536 (P->getIncomingBlock(0) == BB
2537 ? (P->getIncomingValue(0))
2538 : (P->getIncomingBlock(1) == BB ? P->getIncomingValue(1) : 0));
2539 // Check if this is a Binary Operator.
2540 BinaryOperator *BI = dyn_cast_or_null<BinaryOperator>(Rdx);
2541 if (!BI)
2542 continue;
2543
2544 // Try to match and vectorize a horizontal reduction.
2545 HorizontalReduction HorRdx;
2546 if (ShouldVectorizeHor &&
2547 HorRdx.matchAssociativeReduction(P, BI, DL) &&
2548 HorRdx.tryToReduce(R, TTI)) {
2549 Changed = true;
2550 it = BB->begin();
2551 e = BB->end();
2552 continue;
2553 }
2554
2555 Value *Inst = BI->getOperand(0);
2556 if (Inst == P)
2557 Inst = BI->getOperand(1);
2558
2559 if (tryToVectorize(dyn_cast<BinaryOperator>(Inst), R)) {
2560 // We would like to start over since some instructions are deleted
2561 // and the iterator may become invalid value.
2562 Changed = true;
2563 it = BB->begin();
2564 e = BB->end();
2565 continue;
2566 }
2567
2568 continue;
2569 }
2570
2571 // Try to vectorize horizontal reductions feeding into a store.
2572 if (ShouldStartVectorizeHorAtStore)
2573 if (StoreInst *SI = dyn_cast<StoreInst>(it))
2574 if (BinaryOperator *BinOp =
2575 dyn_cast<BinaryOperator>(SI->getValueOperand())) {
2576 HorizontalReduction HorRdx;
2577 if (((HorRdx.matchAssociativeReduction(0, BinOp, DL) &&
2578 HorRdx.tryToReduce(R, TTI)) ||
2579 tryToVectorize(BinOp, R))) {
2580 Changed = true;
2581 it = BB->begin();
2582 e = BB->end();
2583 continue;
2584 }
2585 }
2586
2587 // Try to vectorize trees that start at compare instructions.
2588 if (CmpInst *CI = dyn_cast<CmpInst>(it)) {
2589 if (tryToVectorizePair(CI->getOperand(0), CI->getOperand(1), R)) {
2590 Changed = true;
2591 // We would like to start over since some instructions are deleted
2592 // and the iterator may become invalid value.
2593 it = BB->begin();
2594 e = BB->end();
2595 continue;
2596 }
2597
2598 for (int i = 0; i < 2; ++i) {
2599 if (BinaryOperator *BI = dyn_cast<BinaryOperator>(CI->getOperand(i))) {
2600 if (tryToVectorizePair(BI->getOperand(0), BI->getOperand(1), R)) {
2601 Changed = true;
2602 // We would like to start over since some instructions are deleted
2603 // and the iterator may become invalid value.
2604 it = BB->begin();
2605 e = BB->end();
2606 }
2607 }
2608 }
2609 continue;
2610 }
2611
2612 // Try to vectorize trees that start at insertelement instructions.
2613 if (InsertElementInst *IE = dyn_cast<InsertElementInst>(it)) {
2614 SmallVector<Value *, 8> Ops;
2615 if (!findBuildVector(IE, Ops))
2616 continue;
2617
2618 if (tryToVectorizeList(Ops, R)) {
2619 Changed = true;
2620 it = BB->begin();
2621 e = BB->end();
2622 }
2623
2624 continue;
2625 }
2626 }
2627
2628 return Changed;
2629 }
2630
vectorizeStoreChains(BoUpSLP & R)2631 bool SLPVectorizer::vectorizeStoreChains(BoUpSLP &R) {
2632 bool Changed = false;
2633 // Attempt to sort and vectorize each of the store-groups.
2634 for (StoreListMap::iterator it = StoreRefs.begin(), e = StoreRefs.end();
2635 it != e; ++it) {
2636 if (it->second.size() < 2)
2637 continue;
2638
2639 DEBUG(dbgs() << "SLP: Analyzing a store chain of length "
2640 << it->second.size() << ".\n");
2641
2642 // Process the stores in chunks of 16.
2643 for (unsigned CI = 0, CE = it->second.size(); CI < CE; CI+=16) {
2644 unsigned Len = std::min<unsigned>(CE - CI, 16);
2645 ArrayRef<StoreInst *> Chunk(&it->second[CI], Len);
2646 Changed |= vectorizeStores(Chunk, -SLPCostThreshold, R);
2647 }
2648 }
2649 return Changed;
2650 }
2651
2652 } // end anonymous namespace
2653
2654 char SLPVectorizer::ID = 0;
2655 static const char lv_name[] = "SLP Vectorizer";
2656 INITIALIZE_PASS_BEGIN(SLPVectorizer, SV_NAME, lv_name, false, false)
2657 INITIALIZE_AG_DEPENDENCY(AliasAnalysis)
2658 INITIALIZE_AG_DEPENDENCY(TargetTransformInfo)
2659 INITIALIZE_PASS_DEPENDENCY(ScalarEvolution)
2660 INITIALIZE_PASS_DEPENDENCY(LoopSimplify)
2661 INITIALIZE_PASS_END(SLPVectorizer, SV_NAME, lv_name, false, false)
2662
2663 namespace llvm {
createSLPVectorizerPass()2664 Pass *createSLPVectorizerPass() { return new SLPVectorizer(); }
2665 }
2666