llvm-6502/include/llvm/Analysis/LoopAccessAnalysis.h
Adam Nemet 86dbc2b6d3 [LAA-memchecks 3/3] Introduce pointer partitions for memchecks
This is the final patch that actually introduces the new parameter of
partition mapping to RuntimePointerCheck::needsChecking.

Another API (LAI::getInstructionsForAccess) is also exposed that helps
to map pointers to instructions because ultimately we partition
instructions.

The WIP version of the Loop Distribution pass in D6930 has been adapted
to use all this.  See for example, how
InstrPartitionContainer::computePartitionSetForPointers sets up the
partitions using the above API and then calls to LAI::addRuntimeCheck
with the pointer partitions.

git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@231818 91177308-0d34-0410-b5e6-96231b3b80d8
2015-03-10 18:54:26 +00:00

533 lines
20 KiB
C++

//===- 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 <typename A> 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<Value *, 1, bool> MemAccessInfo;
typedef SmallPtrSet<MemAccessInfo, 8> MemAccessInfoSet;
/// \brief Set of potential dependent memory accesses.
typedef EquivalenceClasses<MemAccessInfo> 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<Instruction *> &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<Dependence> *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<Instruction *> &getMemoryInstructions() const {
return InstMap;
}
/// \brief Find the set of instructions that read or write via \p Ptr.
SmallVector<Instruction *, 4> getInstructionsForAccess(Value *Ptr,
bool isWrite) const;
private:
ScalarEvolution *SE;
const Loop *InnermostLoop;
/// \brief Maps access locations (ptr, read/write) to program order.
DenseMap<MemAccessInfo, std::vector<unsigned> > Accesses;
/// \brief Memory access instructions in program order.
SmallVector<Instruction *, 16> 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<Dependence, 8> 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<int> *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<int> *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<TrackingVH<Value>, 2> Pointers;
/// Holds the pointer value at the beginning of the loop.
SmallVector<const SCEV*, 2> Starts;
/// Holds the pointer value at the end of the loop.
SmallVector<const SCEV*, 2> Ends;
/// Holds the information if this pointer is used for writing to memory.
SmallVector<bool, 2> IsWritePtr;
/// Holds the id of the set of pointers that could be dependent because of a
/// shared underlying object.
SmallVector<unsigned, 2> DependencySetId;
/// Holds the id of the disjoint alias set to which this pointer belongs.
SmallVector<unsigned, 2> 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<Instruction *, Instruction *>
addRuntimeCheck(Instruction *Loc,
const SmallVectorImpl<int> *PtrPartition = nullptr) const;
/// \brief The diagnostics report generated for the analysis. E.g. why we
/// couldn't analyze the loop.
const Optional<LoopAccessReport> &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<Instruction *, 4> 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<LoopAccessReport> 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<Loop *, std::unique_ptr<LoopAccessInfo>> LoopAccessInfoMap;
// The used analysis passes.
ScalarEvolution *SE;
const TargetLibraryInfo *TLI;
AliasAnalysis *AA;
DominatorTree *DT;
};
} // End llvm namespace
#endif