//===- llvm/Analysis/LoopAccessAnalysis.h -----------------------*- C++ -*-===// // // The LLVM Compiler Infrastructure // // This file is distributed under the University of Illinois Open Source // License. See LICENSE.TXT for details. // //===----------------------------------------------------------------------===// // // This file defines the interface for the loop memory dependence framework that // was originally developed for the Loop Vectorizer. // //===----------------------------------------------------------------------===// #ifndef LLVM_ANALYSIS_LOOPACCESSANALYSIS_H #define LLVM_ANALYSIS_LOOPACCESSANALYSIS_H #include "llvm/ADT/EquivalenceClasses.h" #include "llvm/ADT/Optional.h" #include "llvm/ADT/SetVector.h" #include "llvm/Analysis/AliasAnalysis.h" #include "llvm/Analysis/AliasSetTracker.h" #include "llvm/Analysis/ScalarEvolutionExpressions.h" #include "llvm/IR/ValueHandle.h" #include "llvm/Pass.h" #include "llvm/Support/raw_ostream.h" namespace llvm { class Value; class DataLayout; class AliasAnalysis; class ScalarEvolution; class Loop; class SCEV; /// Optimization analysis message produced during vectorization. Messages inform /// the user why vectorization did not occur. class LoopAccessReport { std::string Message; const Instruction *Instr; protected: LoopAccessReport(const Twine &Message, const Instruction *I) : Message(Message.str()), Instr(I) {} public: LoopAccessReport(const Instruction *I = nullptr) : Instr(I) {} template LoopAccessReport &operator<<(const A &Value) { raw_string_ostream Out(Message); Out << Value; return *this; } const Instruction *getInstr() const { return Instr; } std::string &str() { return Message; } const std::string &str() const { return Message; } operator Twine() { return Message; } /// \brief Emit an analysis note for \p PassName with the debug location from /// the instruction in \p Message if available. Otherwise use the location of /// \p TheLoop. static void emitAnalysis(const LoopAccessReport &Message, const Function *TheFunction, const Loop *TheLoop, const char *PassName); }; /// \brief Collection of parameters shared beetween the Loop Vectorizer and the /// Loop Access Analysis. struct VectorizerParams { /// \brief Maximum SIMD width. static const unsigned MaxVectorWidth; /// \brief VF as overridden by the user. static unsigned VectorizationFactor; /// \brief Interleave factor as overridden by the user. static unsigned VectorizationInterleave; /// \brief True if force-vector-interleave was specified by the user. static bool isInterleaveForced(); /// \\brief When performing memory disambiguation checks at runtime do not /// make more than this number of comparisons. static unsigned RuntimeMemoryCheckThreshold; }; /// \brief Checks memory dependences among accesses to the same underlying /// object to determine whether there vectorization is legal or not (and at /// which vectorization factor). /// /// Note: This class will compute a conservative dependence for access to /// different underlying pointers. Clients, such as the loop vectorizer, will /// sometimes deal these potential dependencies by emitting runtime checks. /// /// We use the ScalarEvolution framework to symbolically evalutate access /// functions pairs. Since we currently don't restructure the loop we can rely /// on the program order of memory accesses to determine their safety. /// At the moment we will only deem accesses as safe for: /// * A negative constant distance assuming program order. /// /// Safe: tmp = a[i + 1]; OR a[i + 1] = x; /// a[i] = tmp; y = a[i]; /// /// The latter case is safe because later checks guarantuee that there can't /// be a cycle through a phi node (that is, we check that "x" and "y" is not /// the same variable: a header phi can only be an induction or a reduction, a /// reduction can't have a memory sink, an induction can't have a memory /// source). This is important and must not be violated (or we have to /// resort to checking for cycles through memory). /// /// * A positive constant distance assuming program order that is bigger /// than the biggest memory access. /// /// tmp = a[i] OR b[i] = x /// a[i+2] = tmp y = b[i+2]; /// /// Safe distance: 2 x sizeof(a[0]), and 2 x sizeof(b[0]), respectively. /// /// * Zero distances and all accesses have the same size. /// class MemoryDepChecker { public: typedef PointerIntPair MemAccessInfo; typedef SmallPtrSet MemAccessInfoSet; /// \brief Set of potential dependent memory accesses. typedef EquivalenceClasses DepCandidates; /// \brief Dependece between memory access instructions. struct Dependence { /// \brief The type of the dependence. enum DepType { // No dependence. NoDep, // We couldn't determine the direction or the distance. Unknown, // Lexically forward. Forward, // Forward, but if vectorized, is likely to prevent store-to-load // forwarding. ForwardButPreventsForwarding, // Lexically backward. Backward, // Backward, but the distance allows a vectorization factor of // MaxSafeDepDistBytes. BackwardVectorizable, // Same, but may prevent store-to-load forwarding. BackwardVectorizableButPreventsForwarding }; /// \brief String version of the types. static const char *DepName[]; /// \brief Index of the source of the dependence in the InstMap vector. unsigned Source; /// \brief Index of the destination of the dependence in the InstMap vector. unsigned Destination; /// \brief The type of the dependence. DepType Type; Dependence(unsigned Source, unsigned Destination, DepType Type) : Source(Source), Destination(Destination), Type(Type) {} /// \brief Dependence types that don't prevent vectorization. static bool isSafeForVectorization(DepType Type); /// \brief Dependence types that can be queried from the analysis. static bool isInterestingDependence(DepType Type); /// \brief Lexically backward dependence types. bool isPossiblyBackward() const; /// \brief Print the dependence. \p Instr is used to map the instruction /// indices to instructions. void print(raw_ostream &OS, unsigned Depth, const SmallVectorImpl &Instrs) const; }; MemoryDepChecker(ScalarEvolution *Se, const Loop *L) : SE(Se), InnermostLoop(L), AccessIdx(0), ShouldRetryWithRuntimeCheck(false), SafeForVectorization(true), RecordInterestingDependences(true) {} /// \brief Register the location (instructions are given increasing numbers) /// of a write access. void addAccess(StoreInst *SI) { Value *Ptr = SI->getPointerOperand(); Accesses[MemAccessInfo(Ptr, true)].push_back(AccessIdx); InstMap.push_back(SI); ++AccessIdx; } /// \brief Register the location (instructions are given increasing numbers) /// of a write access. void addAccess(LoadInst *LI) { Value *Ptr = LI->getPointerOperand(); Accesses[MemAccessInfo(Ptr, false)].push_back(AccessIdx); InstMap.push_back(LI); ++AccessIdx; } /// \brief Check whether the dependencies between the accesses are safe. /// /// Only checks sets with elements in \p CheckDeps. bool areDepsSafe(DepCandidates &AccessSets, MemAccessInfoSet &CheckDeps, const ValueToValueMap &Strides); /// \brief No memory dependence was encountered that would inhibit /// vectorization. bool isSafeForVectorization() const { return SafeForVectorization; } /// \brief The maximum number of bytes of a vector register we can vectorize /// the accesses safely with. unsigned getMaxSafeDepDistBytes() { return MaxSafeDepDistBytes; } /// \brief In same cases when the dependency check fails we can still /// vectorize the loop with a dynamic array access check. bool shouldRetryWithRuntimeCheck() { return ShouldRetryWithRuntimeCheck; } /// \brief Returns the interesting dependences. If null is returned we /// exceeded the MaxInterestingDependence threshold and this information is /// not available. const SmallVectorImpl *getInterestingDependences() const { return RecordInterestingDependences ? &InterestingDependences : nullptr; } /// \brief The vector of memory access instructions. The indices are used as /// instruction identifiers in the Dependence class. const SmallVectorImpl &getMemoryInstructions() const { return InstMap; } /// \brief Find the set of instructions that read or write via \p Ptr. SmallVector getInstructionsForAccess(Value *Ptr, bool isWrite) const; private: ScalarEvolution *SE; const Loop *InnermostLoop; /// \brief Maps access locations (ptr, read/write) to program order. DenseMap > Accesses; /// \brief Memory access instructions in program order. SmallVector InstMap; /// \brief The program order index to be used for the next instruction. unsigned AccessIdx; // We can access this many bytes in parallel safely. unsigned MaxSafeDepDistBytes; /// \brief If we see a non-constant dependence distance we can still try to /// vectorize this loop with runtime checks. bool ShouldRetryWithRuntimeCheck; /// \brief No memory dependence was encountered that would inhibit /// vectorization. bool SafeForVectorization; //// \brief True if InterestingDependences reflects the dependences in the //// loop. If false we exceeded MaxInterestingDependence and //// InterestingDependences is invalid. bool RecordInterestingDependences; /// \brief Interesting memory dependences collected during the analysis as /// defined by isInterestingDependence. Only valid if /// RecordInterestingDependences is true. SmallVector InterestingDependences; /// \brief Check whether there is a plausible dependence between the two /// accesses. /// /// Access \p A must happen before \p B in program order. The two indices /// identify the index into the program order map. /// /// This function checks whether there is a plausible dependence (or the /// absence of such can't be proved) between the two accesses. If there is a /// plausible dependence but the dependence distance is bigger than one /// element access it records this distance in \p MaxSafeDepDistBytes (if this /// distance is smaller than any other distance encountered so far). /// Otherwise, this function returns true signaling a possible dependence. Dependence::DepType isDependent(const MemAccessInfo &A, unsigned AIdx, const MemAccessInfo &B, unsigned BIdx, const ValueToValueMap &Strides); /// \brief Check whether the data dependence could prevent store-load /// forwarding. bool couldPreventStoreLoadForward(unsigned Distance, unsigned TypeByteSize); }; /// \brief Drive the analysis of memory accesses in the loop /// /// This class is responsible for analyzing the memory accesses of a loop. It /// collects the accesses and then its main helper the AccessAnalysis class /// finds and categorizes the dependences in buildDependenceSets. /// /// For memory dependences that can be analyzed at compile time, it determines /// whether the dependence is part of cycle inhibiting vectorization. This work /// is delegated to the MemoryDepChecker class. /// /// For memory dependences that cannot be determined at compile time, it /// generates run-time checks to prove independence. This is done by /// AccessAnalysis::canCheckPtrAtRT and the checks are maintained by the /// RuntimePointerCheck class. class LoopAccessInfo { public: /// This struct holds information about the memory runtime legality check that /// a group of pointers do not overlap. struct RuntimePointerCheck { RuntimePointerCheck() : Need(false) {} /// Reset the state of the pointer runtime information. void reset() { Need = false; Pointers.clear(); Starts.clear(); Ends.clear(); IsWritePtr.clear(); DependencySetId.clear(); AliasSetId.clear(); } /// Insert a pointer and calculate the start and end SCEVs. void insert(ScalarEvolution *SE, Loop *Lp, Value *Ptr, bool WritePtr, unsigned DepSetId, unsigned ASId, const ValueToValueMap &Strides); /// \brief No run-time memory checking is necessary. bool empty() const { return Pointers.empty(); } /// \brief Decide whether we need to issue a run-time check for pointer at /// index \p I and \p J to prove their independence. /// /// If \p PtrPartition is set, it contains the partition number for /// pointers (-1 if the pointer belongs to multiple partitions). In this /// case omit checks between pointers belonging to the same partition. bool needsChecking(unsigned I, unsigned J, const SmallVectorImpl *PtrPartition) const; /// \brief Print the list run-time memory checks necessary. /// /// If \p PtrPartition is set, it contains the partition number for /// pointers (-1 if the pointer belongs to multiple partitions). In this /// case omit checks between pointers belonging to the same partition. void print(raw_ostream &OS, unsigned Depth = 0, const SmallVectorImpl *PtrPartition = nullptr) const; /// This flag indicates if we need to add the runtime check. bool Need; /// Holds the pointers that we need to check. SmallVector, 2> Pointers; /// Holds the pointer value at the beginning of the loop. SmallVector Starts; /// Holds the pointer value at the end of the loop. SmallVector Ends; /// Holds the information if this pointer is used for writing to memory. SmallVector IsWritePtr; /// Holds the id of the set of pointers that could be dependent because of a /// shared underlying object. SmallVector DependencySetId; /// Holds the id of the disjoint alias set to which this pointer belongs. SmallVector AliasSetId; }; LoopAccessInfo(Loop *L, ScalarEvolution *SE, const DataLayout &DL, const TargetLibraryInfo *TLI, AliasAnalysis *AA, DominatorTree *DT, const ValueToValueMap &Strides); /// Return true we can analyze the memory accesses in the loop and there are /// no memory dependence cycles. bool canVectorizeMemory() const { return CanVecMem; } const RuntimePointerCheck *getRuntimePointerCheck() const { return &PtrRtCheck; } /// \brief Number of memchecks required to prove independence of otherwise /// may-alias pointers. unsigned getNumRuntimePointerChecks() const { return NumComparisons; } /// Return true if the block BB needs to be predicated in order for the loop /// to be vectorized. static bool blockNeedsPredication(BasicBlock *BB, Loop *TheLoop, DominatorTree *DT); /// Returns true if the value V is uniform within the loop. bool isUniform(Value *V) const; unsigned getMaxSafeDepDistBytes() const { return MaxSafeDepDistBytes; } unsigned getNumStores() const { return NumStores; } unsigned getNumLoads() const { return NumLoads;} /// \brief Add code that checks at runtime if the accessed arrays overlap. /// /// Returns a pair of instructions where the first element is the first /// instruction generated in possibly a sequence of instructions and the /// second value is the final comparator value or NULL if no check is needed. /// /// If \p PtrPartition is set, it contains the partition number for pointers /// (-1 if the pointer belongs to multiple partitions). In this case omit /// checks between pointers belonging to the same partition. std::pair addRuntimeCheck(Instruction *Loc, const SmallVectorImpl *PtrPartition = nullptr) const; /// \brief The diagnostics report generated for the analysis. E.g. why we /// couldn't analyze the loop. const Optional &getReport() const { return Report; } /// \brief the Memory Dependence Checker which can determine the /// loop-independent and loop-carried dependences between memory accesses. const MemoryDepChecker &getDepChecker() const { return DepChecker; } /// \brief Return the list of instructions that use \p Ptr to read or write /// memory. SmallVector getInstructionsForAccess(Value *Ptr, bool isWrite) const { return DepChecker.getInstructionsForAccess(Ptr, isWrite); } /// \brief Print the information about the memory accesses in the loop. void print(raw_ostream &OS, unsigned Depth = 0) const; /// \brief Used to ensure that if the analysis was run with speculating the /// value of symbolic strides, the client queries it with the same assumption. /// Only used in DEBUG build but we don't want NDEBUG-dependent ABI. unsigned NumSymbolicStrides; private: /// \brief Analyze the loop. Substitute symbolic strides using Strides. void analyzeLoop(const ValueToValueMap &Strides); /// \brief Check if the structure of the loop allows it to be analyzed by this /// pass. bool canAnalyzeLoop(); void emitAnalysis(LoopAccessReport &Message); /// We need to check that all of the pointers in this list are disjoint /// at runtime. RuntimePointerCheck PtrRtCheck; /// \brief the Memory Dependence Checker which can determine the /// loop-independent and loop-carried dependences between memory accesses. MemoryDepChecker DepChecker; /// \brief Number of memchecks required to prove independence of otherwise /// may-alias pointers unsigned NumComparisons; Loop *TheLoop; ScalarEvolution *SE; const DataLayout &DL; const TargetLibraryInfo *TLI; AliasAnalysis *AA; DominatorTree *DT; unsigned NumLoads; unsigned NumStores; unsigned MaxSafeDepDistBytes; /// \brief Cache the result of analyzeLoop. bool CanVecMem; /// \brief The diagnostics report generated for the analysis. E.g. why we /// couldn't analyze the loop. Optional Report; }; Value *stripIntegerCast(Value *V); ///\brief Return the SCEV corresponding to a pointer with the symbolic stride ///replaced with constant one. /// /// If \p OrigPtr is not null, use it to look up the stride value instead of \p /// Ptr. \p PtrToStride provides the mapping between the pointer value and its /// stride as collected by LoopVectorizationLegality::collectStridedAccess. const SCEV *replaceSymbolicStrideSCEV(ScalarEvolution *SE, const ValueToValueMap &PtrToStride, Value *Ptr, Value *OrigPtr = nullptr); /// \brief This analysis provides dependence information for the memory accesses /// of a loop. /// /// It runs the analysis for a loop on demand. This can be initiated by /// querying the loop access info via LAA::getInfo. getInfo return a /// LoopAccessInfo object. See this class for the specifics of what information /// is provided. class LoopAccessAnalysis : public FunctionPass { public: static char ID; LoopAccessAnalysis() : FunctionPass(ID) { initializeLoopAccessAnalysisPass(*PassRegistry::getPassRegistry()); } bool runOnFunction(Function &F) override; void getAnalysisUsage(AnalysisUsage &AU) const override; /// \brief Query the result of the loop access information for the loop \p L. /// /// If the client speculates (and then issues run-time checks) for the values /// of symbolic strides, \p Strides provides the mapping (see /// replaceSymbolicStrideSCEV). If there is no cached result available run /// the analysis. const LoopAccessInfo &getInfo(Loop *L, const ValueToValueMap &Strides); void releaseMemory() override { // Invalidate the cache when the pass is freed. LoopAccessInfoMap.clear(); } /// \brief Print the result of the analysis when invoked with -analyze. void print(raw_ostream &OS, const Module *M = nullptr) const override; private: /// \brief The cache. DenseMap> LoopAccessInfoMap; // The used analysis passes. ScalarEvolution *SE; const TargetLibraryInfo *TLI; AliasAnalysis *AA; DominatorTree *DT; }; } // End llvm namespace #endif