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llvm-mirror/lib/Transforms/Scalar/LoopInterchange.cpp

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//===- LoopInterchange.cpp - Loop interchange pass------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
//
// This Pass handles loop interchange transform.
// This pass interchanges loops to provide a more cache-friendly memory access
// patterns.
//
//===----------------------------------------------------------------------===//
#include "llvm/ADT/SmallVector.h"
#include "llvm/Analysis/AliasAnalysis.h"
#include "llvm/Analysis/AssumptionCache.h"
#include "llvm/Analysis/BlockFrequencyInfo.h"
#include "llvm/Analysis/CodeMetrics.h"
#include "llvm/Analysis/DependenceAnalysis.h"
#include "llvm/Analysis/LoopInfo.h"
#include "llvm/Analysis/LoopIterator.h"
#include "llvm/Analysis/LoopPass.h"
#include "llvm/Analysis/ScalarEvolution.h"
#include "llvm/Analysis/ScalarEvolutionExpander.h"
#include "llvm/Analysis/ScalarEvolutionExpressions.h"
#include "llvm/Analysis/TargetTransformInfo.h"
#include "llvm/Analysis/ValueTracking.h"
#include "llvm/IR/Dominators.h"
#include "llvm/IR/Function.h"
#include "llvm/IR/IRBuilder.h"
#include "llvm/IR/InstIterator.h"
#include "llvm/IR/IntrinsicInst.h"
#include "llvm/IR/Module.h"
#include "llvm/Pass.h"
#include "llvm/Support/Debug.h"
#include "llvm/Support/raw_ostream.h"
#include "llvm/Transforms/Scalar.h"
#include "llvm/Transforms/Utils/BasicBlockUtils.h"
#include "llvm/Transforms/Utils/LoopUtils.h"
#include "llvm/Transforms/Utils/SSAUpdater.h"
using namespace llvm;
#define DEBUG_TYPE "loop-interchange"
namespace {
typedef SmallVector<Loop *, 8> LoopVector;
// TODO: Check if we can use a sparse matrix here.
typedef std::vector<std::vector<char>> CharMatrix;
// Maximum number of dependencies that can be handled in the dependency matrix.
static const unsigned MaxMemInstrCount = 100;
// Maximum loop depth supported.
static const unsigned MaxLoopNestDepth = 10;
struct LoopInterchange;
#ifdef DUMP_DEP_MATRICIES
void printDepMatrix(CharMatrix &DepMatrix) {
for (auto I = DepMatrix.begin(), E = DepMatrix.end(); I != E; ++I) {
std::vector<char> Vec = *I;
for (auto II = Vec.begin(), EE = Vec.end(); II != EE; ++II)
DEBUG(dbgs() << *II << " ");
DEBUG(dbgs() << "\n");
}
}
#endif
static bool populateDependencyMatrix(CharMatrix &DepMatrix, unsigned Level,
Loop *L, DependenceInfo *DI) {
typedef SmallVector<Value *, 16> ValueVector;
ValueVector MemInstr;
if (Level > MaxLoopNestDepth) {
DEBUG(dbgs() << "Cannot handle loops of depth greater than "
<< MaxLoopNestDepth << "\n");
return false;
}
// For each block.
for (Loop::block_iterator BB = L->block_begin(), BE = L->block_end();
BB != BE; ++BB) {
// Scan the BB and collect legal loads and stores.
for (BasicBlock::iterator I = (*BB)->begin(), E = (*BB)->end(); I != E;
++I) {
Instruction *Ins = dyn_cast<Instruction>(I);
if (!Ins)
return false;
LoadInst *Ld = dyn_cast<LoadInst>(I);
StoreInst *St = dyn_cast<StoreInst>(I);
if (!St && !Ld)
continue;
if (Ld && !Ld->isSimple())
return false;
if (St && !St->isSimple())
return false;
MemInstr.push_back(&*I);
}
}
DEBUG(dbgs() << "Found " << MemInstr.size()
<< " Loads and Stores to analyze\n");
ValueVector::iterator I, IE, J, JE;
for (I = MemInstr.begin(), IE = MemInstr.end(); I != IE; ++I) {
for (J = I, JE = MemInstr.end(); J != JE; ++J) {
std::vector<char> Dep;
Instruction *Src = dyn_cast<Instruction>(*I);
Instruction *Des = dyn_cast<Instruction>(*J);
if (Src == Des)
continue;
if (isa<LoadInst>(Src) && isa<LoadInst>(Des))
continue;
if (auto D = DI->depends(Src, Des, true)) {
DEBUG(dbgs() << "Found Dependency between Src=" << Src << " Des=" << Des
<< "\n");
if (D->isFlow()) {
// TODO: Handle Flow dependence.Check if it is sufficient to populate
// the Dependence Matrix with the direction reversed.
DEBUG(dbgs() << "Flow dependence not handled");
return false;
}
if (D->isAnti()) {
DEBUG(dbgs() << "Found Anti dependence \n");
unsigned Levels = D->getLevels();
char Direction;
for (unsigned II = 1; II <= Levels; ++II) {
const SCEV *Distance = D->getDistance(II);
const SCEVConstant *SCEVConst =
dyn_cast_or_null<SCEVConstant>(Distance);
if (SCEVConst) {
const ConstantInt *CI = SCEVConst->getValue();
if (CI->isNegative())
Direction = '<';
else if (CI->isZero())
Direction = '=';
else
Direction = '>';
Dep.push_back(Direction);
} else if (D->isScalar(II)) {
Direction = 'S';
Dep.push_back(Direction);
} else {
unsigned Dir = D->getDirection(II);
if (Dir == Dependence::DVEntry::LT ||
Dir == Dependence::DVEntry::LE)
Direction = '<';
else if (Dir == Dependence::DVEntry::GT ||
Dir == Dependence::DVEntry::GE)
Direction = '>';
else if (Dir == Dependence::DVEntry::EQ)
Direction = '=';
else
Direction = '*';
Dep.push_back(Direction);
}
}
while (Dep.size() != Level) {
Dep.push_back('I');
}
DepMatrix.push_back(Dep);
if (DepMatrix.size() > MaxMemInstrCount) {
DEBUG(dbgs() << "Cannot handle more than " << MaxMemInstrCount
<< " dependencies inside loop\n");
return false;
}
}
}
}
}
// We don't have a DepMatrix to check legality return false.
if (DepMatrix.size() == 0)
return false;
return true;
}
// A loop is moved from index 'from' to an index 'to'. Update the Dependence
// matrix by exchanging the two columns.
static void interChangeDepedencies(CharMatrix &DepMatrix, unsigned FromIndx,
unsigned ToIndx) {
unsigned numRows = DepMatrix.size();
for (unsigned i = 0; i < numRows; ++i) {
char TmpVal = DepMatrix[i][ToIndx];
DepMatrix[i][ToIndx] = DepMatrix[i][FromIndx];
DepMatrix[i][FromIndx] = TmpVal;
}
}
// Checks if outermost non '=','S'or'I' dependence in the dependence matrix is
// '>'
static bool isOuterMostDepPositive(CharMatrix &DepMatrix, unsigned Row,
unsigned Column) {
for (unsigned i = 0; i <= Column; ++i) {
if (DepMatrix[Row][i] == '<')
return false;
if (DepMatrix[Row][i] == '>')
return true;
}
// All dependencies were '=','S' or 'I'
return false;
}
// Checks if no dependence exist in the dependency matrix in Row before Column.
static bool containsNoDependence(CharMatrix &DepMatrix, unsigned Row,
unsigned Column) {
for (unsigned i = 0; i < Column; ++i) {
if (DepMatrix[Row][i] != '=' || DepMatrix[Row][i] != 'S' ||
DepMatrix[Row][i] != 'I')
return false;
}
return true;
}
static bool validDepInterchange(CharMatrix &DepMatrix, unsigned Row,
unsigned OuterLoopId, char InnerDep,
char OuterDep) {
if (isOuterMostDepPositive(DepMatrix, Row, OuterLoopId))
return false;
if (InnerDep == OuterDep)
return true;
// It is legal to interchange if and only if after interchange no row has a
// '>' direction as the leftmost non-'='.
if (InnerDep == '=' || InnerDep == 'S' || InnerDep == 'I')
return true;
if (InnerDep == '<')
return true;
if (InnerDep == '>') {
// If OuterLoopId represents outermost loop then interchanging will make the
// 1st dependency as '>'
if (OuterLoopId == 0)
return false;
// If all dependencies before OuterloopId are '=','S'or 'I'. Then
// interchanging will result in this row having an outermost non '='
// dependency of '>'
if (!containsNoDependence(DepMatrix, Row, OuterLoopId))
return true;
}
return false;
}
// Checks if it is legal to interchange 2 loops.
// [Theorem] A permutation of the loops in a perfect nest is legal if and only
// if
// the direction matrix, after the same permutation is applied to its columns,
// has no ">" direction as the leftmost non-"=" direction in any row.
static bool isLegalToInterChangeLoops(CharMatrix &DepMatrix,
unsigned InnerLoopId,
unsigned OuterLoopId) {
unsigned NumRows = DepMatrix.size();
// For each row check if it is valid to interchange.
for (unsigned Row = 0; Row < NumRows; ++Row) {
char InnerDep = DepMatrix[Row][InnerLoopId];
char OuterDep = DepMatrix[Row][OuterLoopId];
if (InnerDep == '*' || OuterDep == '*')
return false;
else if (!validDepInterchange(DepMatrix, Row, OuterLoopId, InnerDep,
OuterDep))
return false;
}
return true;
}
static void populateWorklist(Loop &L, SmallVector<LoopVector, 8> &V) {
DEBUG(dbgs() << "Calling populateWorklist called\n");
LoopVector LoopList;
Loop *CurrentLoop = &L;
const std::vector<Loop *> *Vec = &CurrentLoop->getSubLoops();
while (!Vec->empty()) {
// The current loop has multiple subloops in it hence it is not tightly
// nested.
// Discard all loops above it added into Worklist.
if (Vec->size() != 1) {
LoopList.clear();
return;
}
LoopList.push_back(CurrentLoop);
CurrentLoop = Vec->front();
Vec = &CurrentLoop->getSubLoops();
}
LoopList.push_back(CurrentLoop);
V.push_back(std::move(LoopList));
}
static PHINode *getInductionVariable(Loop *L, ScalarEvolution *SE) {
PHINode *InnerIndexVar = L->getCanonicalInductionVariable();
if (InnerIndexVar)
return InnerIndexVar;
if (L->getLoopLatch() == nullptr || L->getLoopPredecessor() == nullptr)
return nullptr;
for (BasicBlock::iterator I = L->getHeader()->begin(); isa<PHINode>(I); ++I) {
PHINode *PhiVar = cast<PHINode>(I);
Type *PhiTy = PhiVar->getType();
if (!PhiTy->isIntegerTy() && !PhiTy->isFloatingPointTy() &&
!PhiTy->isPointerTy())
return nullptr;
const SCEVAddRecExpr *AddRec =
dyn_cast<SCEVAddRecExpr>(SE->getSCEV(PhiVar));
if (!AddRec || !AddRec->isAffine())
continue;
const SCEV *Step = AddRec->getStepRecurrence(*SE);
const SCEVConstant *C = dyn_cast<SCEVConstant>(Step);
if (!C)
continue;
// Found the induction variable.
// FIXME: Handle loops with more than one induction variable. Note that,
// currently, legality makes sure we have only one induction variable.
return PhiVar;
}
return nullptr;
}
/// LoopInterchangeLegality checks if it is legal to interchange the loop.
class LoopInterchangeLegality {
public:
LoopInterchangeLegality(Loop *Outer, Loop *Inner, ScalarEvolution *SE,
LoopInfo *LI, DominatorTree *DT, bool PreserveLCSSA)
: OuterLoop(Outer), InnerLoop(Inner), SE(SE), LI(LI), DT(DT),
PreserveLCSSA(PreserveLCSSA), InnerLoopHasReduction(false) {}
/// Check if the loops can be interchanged.
bool canInterchangeLoops(unsigned InnerLoopId, unsigned OuterLoopId,
CharMatrix &DepMatrix);
/// Check if the loop structure is understood. We do not handle triangular
/// loops for now.
bool isLoopStructureUnderstood(PHINode *InnerInductionVar);
bool currentLimitations();
bool hasInnerLoopReduction() { return InnerLoopHasReduction; }
private:
bool tightlyNested(Loop *Outer, Loop *Inner);
bool containsUnsafeInstructionsInHeader(BasicBlock *BB);
bool areAllUsesReductions(Instruction *Ins, Loop *L);
bool containsUnsafeInstructionsInLatch(BasicBlock *BB);
bool findInductionAndReductions(Loop *L,
SmallVector<PHINode *, 8> &Inductions,
SmallVector<PHINode *, 8> &Reductions);
Loop *OuterLoop;
Loop *InnerLoop;
ScalarEvolution *SE;
LoopInfo *LI;
DominatorTree *DT;
bool PreserveLCSSA;
bool InnerLoopHasReduction;
};
/// LoopInterchangeProfitability checks if it is profitable to interchange the
/// loop.
class LoopInterchangeProfitability {
public:
LoopInterchangeProfitability(Loop *Outer, Loop *Inner, ScalarEvolution *SE)
: OuterLoop(Outer), InnerLoop(Inner), SE(SE) {}
/// Check if the loop interchange is profitable.
bool isProfitable(unsigned InnerLoopId, unsigned OuterLoopId,
CharMatrix &DepMatrix);
private:
int getInstrOrderCost();
Loop *OuterLoop;
Loop *InnerLoop;
/// Scev analysis.
ScalarEvolution *SE;
};
/// LoopInterchangeTransform interchanges the loop.
class LoopInterchangeTransform {
public:
LoopInterchangeTransform(Loop *Outer, Loop *Inner, ScalarEvolution *SE,
LoopInfo *LI, DominatorTree *DT,
BasicBlock *LoopNestExit,
bool InnerLoopContainsReductions)
: OuterLoop(Outer), InnerLoop(Inner), SE(SE), LI(LI), DT(DT),
LoopExit(LoopNestExit),
InnerLoopHasReduction(InnerLoopContainsReductions) {}
/// Interchange OuterLoop and InnerLoop.
bool transform();
void restructureLoops(Loop *InnerLoop, Loop *OuterLoop);
void removeChildLoop(Loop *OuterLoop, Loop *InnerLoop);
private:
void splitInnerLoopLatch(Instruction *);
void splitInnerLoopHeader();
bool adjustLoopLinks();
void adjustLoopPreheaders();
bool adjustLoopBranches();
void updateIncomingBlock(BasicBlock *CurrBlock, BasicBlock *OldPred,
BasicBlock *NewPred);
Loop *OuterLoop;
Loop *InnerLoop;
/// Scev analysis.
ScalarEvolution *SE;
LoopInfo *LI;
DominatorTree *DT;
BasicBlock *LoopExit;
bool InnerLoopHasReduction;
};
// Main LoopInterchange Pass.
struct LoopInterchange : public FunctionPass {
static char ID;
ScalarEvolution *SE;
LoopInfo *LI;
DependenceInfo *DI;
DominatorTree *DT;
bool PreserveLCSSA;
LoopInterchange()
: FunctionPass(ID), SE(nullptr), LI(nullptr), DI(nullptr), DT(nullptr) {
initializeLoopInterchangePass(*PassRegistry::getPassRegistry());
}
void getAnalysisUsage(AnalysisUsage &AU) const override {
[PM] Port ScalarEvolution to the new pass manager. This change makes ScalarEvolution a stand-alone object and just produces one from a pass as needed. Making this work well requires making the object movable, using references instead of overwritten pointers in a number of places, and other refactorings. I've also wired it up to the new pass manager and added a RUN line to a test to exercise it under the new pass manager. This includes basic printing support much like with other analyses. But there is a big and somewhat scary change here. Prior to this patch ScalarEvolution was never *actually* invalidated!!! Re-running the pass just re-wired up the various other analyses and didn't remove any of the existing entries in the SCEV caches or clear out anything at all. This might seem OK as everything in SCEV that can uses ValueHandles to track updates to the values that serve as SCEV keys. However, this still means that as we ran SCEV over each function in the module, we kept accumulating more and more SCEVs into the cache. At the end, we would have a SCEV cache with every value that we ever needed a SCEV for in the entire module!!! Yowzers. The releaseMemory routine would dump all of this, but that isn't realy called during normal runs of the pipeline as far as I can see. To make matters worse, there *is* actually a key that we don't update with value handles -- there is a map keyed off of Loop*s. Because LoopInfo *does* release its memory from run to run, it is entirely possible to run SCEV over one function, then over another function, and then lookup a Loop* from the second function but find an entry inserted for the first function! Ouch. To make matters still worse, there are plenty of updates that *don't* trip a value handle. It seems incredibly unlikely that today GVN or another pass that invalidates SCEV can update values in *just* such a way that a subsequent run of SCEV will incorrectly find lookups in a cache, but it is theoretically possible and would be a nightmare to debug. With this refactoring, I've fixed all this by actually destroying and recreating the ScalarEvolution object from run to run. Technically, this could increase the amount of malloc traffic we see, but then again it is also technically correct. ;] I don't actually think we're suffering from tons of malloc traffic from SCEV because if we were, the fact that we never clear the memory would seem more likely to have come up as an actual problem before now. So, I've made the simple fix here. If in fact there are serious issues with too much allocation and deallocation, I can work on a clever fix that preserves the allocations (while clearing the data) between each run, but I'd prefer to do that kind of optimization with a test case / benchmark that shows why we need such cleverness (and that can test that we actually make it faster). It's possible that this will make some things faster by making the SCEV caches have higher locality (due to being significantly smaller) so until there is a clear benchmark, I think the simple change is best. Differential Revision: http://reviews.llvm.org/D12063 llvm-svn: 245193
2015-08-17 04:08:17 +02:00
AU.addRequired<ScalarEvolutionWrapperPass>();
[PM/AA] Rebuild LLVM's alias analysis infrastructure in a way compatible with the new pass manager, and no longer relying on analysis groups. This builds essentially a ground-up new AA infrastructure stack for LLVM. The core ideas are the same that are used throughout the new pass manager: type erased polymorphism and direct composition. The design is as follows: - FunctionAAResults is a type-erasing alias analysis results aggregation interface to walk a single query across a range of results from different alias analyses. Currently this is function-specific as we always assume that aliasing queries are *within* a function. - AAResultBase is a CRTP utility providing stub implementations of various parts of the alias analysis result concept, notably in several cases in terms of other more general parts of the interface. This can be used to implement only a narrow part of the interface rather than the entire interface. This isn't really ideal, this logic should be hoisted into FunctionAAResults as currently it will cause a significant amount of redundant work, but it faithfully models the behavior of the prior infrastructure. - All the alias analysis passes are ported to be wrapper passes for the legacy PM and new-style analysis passes for the new PM with a shared result object. In some cases (most notably CFL), this is an extremely naive approach that we should revisit when we can specialize for the new pass manager. - BasicAA has been restructured to reflect that it is much more fundamentally a function analysis because it uses dominator trees and loop info that need to be constructed for each function. All of the references to getting alias analysis results have been updated to use the new aggregation interface. All the preservation and other pass management code has been updated accordingly. The way the FunctionAAResultsWrapperPass works is to detect the available alias analyses when run, and add them to the results object. This means that we should be able to continue to respect when various passes are added to the pipeline, for example adding CFL or adding TBAA passes should just cause their results to be available and to get folded into this. The exception to this rule is BasicAA which really needs to be a function pass due to using dominator trees and loop info. As a consequence, the FunctionAAResultsWrapperPass directly depends on BasicAA and always includes it in the aggregation. This has significant implications for preserving analyses. Generally, most passes shouldn't bother preserving FunctionAAResultsWrapperPass because rebuilding the results just updates the set of known AA passes. The exception to this rule are LoopPass instances which need to preserve all the function analyses that the loop pass manager will end up needing. This means preserving both BasicAAWrapperPass and the aggregating FunctionAAResultsWrapperPass. Now, when preserving an alias analysis, you do so by directly preserving that analysis. This is only necessary for non-immutable-pass-provided alias analyses though, and there are only three of interest: BasicAA, GlobalsAA (formerly GlobalsModRef), and SCEVAA. Usually BasicAA is preserved when needed because it (like DominatorTree and LoopInfo) is marked as a CFG-only pass. I've expanded GlobalsAA into the preserved set everywhere we previously were preserving all of AliasAnalysis, and I've added SCEVAA in the intersection of that with where we preserve SCEV itself. One significant challenge to all of this is that the CGSCC passes were actually using the alias analysis implementations by taking advantage of a pretty amazing set of loop holes in the old pass manager's analysis management code which allowed analysis groups to slide through in many cases. Moving away from analysis groups makes this problem much more obvious. To fix it, I've leveraged the flexibility the design of the new PM components provides to just directly construct the relevant alias analyses for the relevant functions in the IPO passes that need them. This is a bit hacky, but should go away with the new pass manager, and is already in many ways cleaner than the prior state. Another significant challenge is that various facilities of the old alias analysis infrastructure just don't fit any more. The most significant of these is the alias analysis 'counter' pass. That pass relied on the ability to snoop on AA queries at different points in the analysis group chain. Instead, I'm planning to build printing functionality directly into the aggregation layer. I've not included that in this patch merely to keep it smaller. Note that all of this needs a nearly complete rewrite of the AA documentation. I'm planning to do that, but I'd like to make sure the new design settles, and to flesh out a bit more of what it looks like in the new pass manager first. Differential Revision: http://reviews.llvm.org/D12080 llvm-svn: 247167
2015-09-09 19:55:00 +02:00
AU.addRequired<AAResultsWrapperPass>();
AU.addRequired<DominatorTreeWrapperPass>();
AU.addRequired<LoopInfoWrapperPass>();
AU.addRequired<DependenceAnalysisWrapperPass>();
AU.addRequiredID(LoopSimplifyID);
AU.addRequiredID(LCSSAID);
}
bool runOnFunction(Function &F) override {
if (skipFunction(F))
return false;
[PM] Port ScalarEvolution to the new pass manager. This change makes ScalarEvolution a stand-alone object and just produces one from a pass as needed. Making this work well requires making the object movable, using references instead of overwritten pointers in a number of places, and other refactorings. I've also wired it up to the new pass manager and added a RUN line to a test to exercise it under the new pass manager. This includes basic printing support much like with other analyses. But there is a big and somewhat scary change here. Prior to this patch ScalarEvolution was never *actually* invalidated!!! Re-running the pass just re-wired up the various other analyses and didn't remove any of the existing entries in the SCEV caches or clear out anything at all. This might seem OK as everything in SCEV that can uses ValueHandles to track updates to the values that serve as SCEV keys. However, this still means that as we ran SCEV over each function in the module, we kept accumulating more and more SCEVs into the cache. At the end, we would have a SCEV cache with every value that we ever needed a SCEV for in the entire module!!! Yowzers. The releaseMemory routine would dump all of this, but that isn't realy called during normal runs of the pipeline as far as I can see. To make matters worse, there *is* actually a key that we don't update with value handles -- there is a map keyed off of Loop*s. Because LoopInfo *does* release its memory from run to run, it is entirely possible to run SCEV over one function, then over another function, and then lookup a Loop* from the second function but find an entry inserted for the first function! Ouch. To make matters still worse, there are plenty of updates that *don't* trip a value handle. It seems incredibly unlikely that today GVN or another pass that invalidates SCEV can update values in *just* such a way that a subsequent run of SCEV will incorrectly find lookups in a cache, but it is theoretically possible and would be a nightmare to debug. With this refactoring, I've fixed all this by actually destroying and recreating the ScalarEvolution object from run to run. Technically, this could increase the amount of malloc traffic we see, but then again it is also technically correct. ;] I don't actually think we're suffering from tons of malloc traffic from SCEV because if we were, the fact that we never clear the memory would seem more likely to have come up as an actual problem before now. So, I've made the simple fix here. If in fact there are serious issues with too much allocation and deallocation, I can work on a clever fix that preserves the allocations (while clearing the data) between each run, but I'd prefer to do that kind of optimization with a test case / benchmark that shows why we need such cleverness (and that can test that we actually make it faster). It's possible that this will make some things faster by making the SCEV caches have higher locality (due to being significantly smaller) so until there is a clear benchmark, I think the simple change is best. Differential Revision: http://reviews.llvm.org/D12063 llvm-svn: 245193
2015-08-17 04:08:17 +02:00
SE = &getAnalysis<ScalarEvolutionWrapperPass>().getSE();
LI = &getAnalysis<LoopInfoWrapperPass>().getLoopInfo();
DI = &getAnalysis<DependenceAnalysisWrapperPass>().getDI();
auto *DTWP = getAnalysisIfAvailable<DominatorTreeWrapperPass>();
DT = DTWP ? &DTWP->getDomTree() : nullptr;
PreserveLCSSA = mustPreserveAnalysisID(LCSSAID);
// Build up a worklist of loop pairs to analyze.
SmallVector<LoopVector, 8> Worklist;
for (Loop *L : *LI)
populateWorklist(*L, Worklist);
DEBUG(dbgs() << "Worklist size = " << Worklist.size() << "\n");
bool Changed = true;
while (!Worklist.empty()) {
LoopVector LoopList = Worklist.pop_back_val();
Changed = processLoopList(LoopList, F);
}
return Changed;
}
bool isComputableLoopNest(LoopVector LoopList) {
for (Loop *L : LoopList) {
const SCEV *ExitCountOuter = SE->getBackedgeTakenCount(L);
if (ExitCountOuter == SE->getCouldNotCompute()) {
DEBUG(dbgs() << "Couldn't compute Backedge count\n");
return false;
}
if (L->getNumBackEdges() != 1) {
DEBUG(dbgs() << "NumBackEdges is not equal to 1\n");
return false;
}
if (!L->getExitingBlock()) {
DEBUG(dbgs() << "Loop Doesn't have unique exit block\n");
return false;
}
}
return true;
}
unsigned selectLoopForInterchange(const LoopVector &LoopList) {
// TODO: Add a better heuristic to select the loop to be interchanged based
// on the dependence matrix. Currently we select the innermost loop.
return LoopList.size() - 1;
}
bool processLoopList(LoopVector LoopList, Function &F) {
bool Changed = false;
CharMatrix DependencyMatrix;
if (LoopList.size() < 2) {
DEBUG(dbgs() << "Loop doesn't contain minimum nesting level.\n");
return false;
}
if (!isComputableLoopNest(LoopList)) {
DEBUG(dbgs() << "Not vaild loop candidate for interchange\n");
return false;
}
Loop *OuterMostLoop = *(LoopList.begin());
DEBUG(dbgs() << "Processing LoopList of size = " << LoopList.size()
<< "\n");
if (!populateDependencyMatrix(DependencyMatrix, LoopList.size(),
OuterMostLoop, DI)) {
DEBUG(dbgs() << "Populating Dependency matrix failed\n");
return false;
}
#ifdef DUMP_DEP_MATRICIES
DEBUG(dbgs() << "Dependence before inter change \n");
printDepMatrix(DependencyMatrix);
#endif
BasicBlock *OuterMostLoopLatch = OuterMostLoop->getLoopLatch();
BranchInst *OuterMostLoopLatchBI =
dyn_cast<BranchInst>(OuterMostLoopLatch->getTerminator());
if (!OuterMostLoopLatchBI)
return false;
// Since we currently do not handle LCSSA PHI's any failure in loop
// condition will now branch to LoopNestExit.
// TODO: This should be removed once we handle LCSSA PHI nodes.
// Get the Outermost loop exit.
BasicBlock *LoopNestExit;
if (OuterMostLoopLatchBI->getSuccessor(0) == OuterMostLoop->getHeader())
LoopNestExit = OuterMostLoopLatchBI->getSuccessor(1);
else
LoopNestExit = OuterMostLoopLatchBI->getSuccessor(0);
if (isa<PHINode>(LoopNestExit->begin())) {
DEBUG(dbgs() << "PHI Nodes in loop nest exit is not handled for now "
"since on failure all loops branch to loop nest exit.\n");
return false;
}
unsigned SelecLoopId = selectLoopForInterchange(LoopList);
// Move the selected loop outwards to the best possible position.
for (unsigned i = SelecLoopId; i > 0; i--) {
bool Interchanged =
processLoop(LoopList, i, i - 1, LoopNestExit, DependencyMatrix);
if (!Interchanged)
return Changed;
// Loops interchanged reflect the same in LoopList
std::swap(LoopList[i - 1], LoopList[i]);
// Update the DependencyMatrix
interChangeDepedencies(DependencyMatrix, i, i - 1);
DT->recalculate(F);
#ifdef DUMP_DEP_MATRICIES
DEBUG(dbgs() << "Dependence after inter change \n");
printDepMatrix(DependencyMatrix);
#endif
Changed |= Interchanged;
}
return Changed;
}
bool processLoop(LoopVector LoopList, unsigned InnerLoopId,
unsigned OuterLoopId, BasicBlock *LoopNestExit,
std::vector<std::vector<char>> &DependencyMatrix) {
DEBUG(dbgs() << "Processing Innder Loop Id = " << InnerLoopId
<< " and OuterLoopId = " << OuterLoopId << "\n");
Loop *InnerLoop = LoopList[InnerLoopId];
Loop *OuterLoop = LoopList[OuterLoopId];
LoopInterchangeLegality LIL(OuterLoop, InnerLoop, SE, LI, DT,
PreserveLCSSA);
if (!LIL.canInterchangeLoops(InnerLoopId, OuterLoopId, DependencyMatrix)) {
DEBUG(dbgs() << "Not interchanging Loops. Cannot prove legality\n");
return false;
}
DEBUG(dbgs() << "Loops are legal to interchange\n");
LoopInterchangeProfitability LIP(OuterLoop, InnerLoop, SE);
if (!LIP.isProfitable(InnerLoopId, OuterLoopId, DependencyMatrix)) {
DEBUG(dbgs() << "Interchanging Loops not profitable\n");
return false;
}
LoopInterchangeTransform LIT(OuterLoop, InnerLoop, SE, LI, DT,
LoopNestExit, LIL.hasInnerLoopReduction());
LIT.transform();
DEBUG(dbgs() << "Loops interchanged\n");
return true;
}
};
} // end of namespace
bool LoopInterchangeLegality::areAllUsesReductions(Instruction *Ins, Loop *L) {
return !std::any_of(Ins->user_begin(), Ins->user_end(), [=](User *U) -> bool {
PHINode *UserIns = dyn_cast<PHINode>(U);
RecurrenceDescriptor RD;
return !UserIns || !RecurrenceDescriptor::isReductionPHI(UserIns, L, RD);
});
}
bool LoopInterchangeLegality::containsUnsafeInstructionsInHeader(
BasicBlock *BB) {
for (auto I = BB->begin(), E = BB->end(); I != E; ++I) {
// Load corresponding to reduction PHI's are safe while concluding if
// tightly nested.
if (LoadInst *L = dyn_cast<LoadInst>(I)) {
if (!areAllUsesReductions(L, InnerLoop))
return true;
} else if (I->mayHaveSideEffects() || I->mayReadFromMemory())
return true;
}
return false;
}
bool LoopInterchangeLegality::containsUnsafeInstructionsInLatch(
BasicBlock *BB) {
for (auto I = BB->begin(), E = BB->end(); I != E; ++I) {
// Stores corresponding to reductions are safe while concluding if tightly
// nested.
if (StoreInst *L = dyn_cast<StoreInst>(I)) {
PHINode *PHI = dyn_cast<PHINode>(L->getOperand(0));
if (!PHI)
return true;
} else if (I->mayHaveSideEffects() || I->mayReadFromMemory())
return true;
}
return false;
}
bool LoopInterchangeLegality::tightlyNested(Loop *OuterLoop, Loop *InnerLoop) {
BasicBlock *OuterLoopHeader = OuterLoop->getHeader();
BasicBlock *InnerLoopPreHeader = InnerLoop->getLoopPreheader();
BasicBlock *OuterLoopLatch = OuterLoop->getLoopLatch();
DEBUG(dbgs() << "Checking if Loops are Tightly Nested\n");
// A perfectly nested loop will not have any branch in between the outer and
// inner block i.e. outer header will branch to either inner preheader and
// outerloop latch.
BranchInst *outerLoopHeaderBI =
dyn_cast<BranchInst>(OuterLoopHeader->getTerminator());
if (!outerLoopHeaderBI)
return false;
unsigned num = outerLoopHeaderBI->getNumSuccessors();
for (unsigned i = 0; i < num; i++) {
if (outerLoopHeaderBI->getSuccessor(i) != InnerLoopPreHeader &&
outerLoopHeaderBI->getSuccessor(i) != OuterLoopLatch)
return false;
}
DEBUG(dbgs() << "Checking instructions in Loop header and Loop latch \n");
// We do not have any basic block in between now make sure the outer header
// and outer loop latch doesn't contain any unsafe instructions.
if (containsUnsafeInstructionsInHeader(OuterLoopHeader) ||
containsUnsafeInstructionsInLatch(OuterLoopLatch))
return false;
DEBUG(dbgs() << "Loops are perfectly nested \n");
// We have a perfect loop nest.
return true;
}
bool LoopInterchangeLegality::isLoopStructureUnderstood(
PHINode *InnerInduction) {
unsigned Num = InnerInduction->getNumOperands();
BasicBlock *InnerLoopPreheader = InnerLoop->getLoopPreheader();
for (unsigned i = 0; i < Num; ++i) {
Value *Val = InnerInduction->getOperand(i);
if (isa<Constant>(Val))
continue;
Instruction *I = dyn_cast<Instruction>(Val);
if (!I)
return false;
// TODO: Handle triangular loops.
// e.g. for(int i=0;i<N;i++)
// for(int j=i;j<N;j++)
unsigned IncomBlockIndx = PHINode::getIncomingValueNumForOperand(i);
if (InnerInduction->getIncomingBlock(IncomBlockIndx) ==
InnerLoopPreheader &&
!OuterLoop->isLoopInvariant(I)) {
return false;
}
}
return true;
}
bool LoopInterchangeLegality::findInductionAndReductions(
Loop *L, SmallVector<PHINode *, 8> &Inductions,
SmallVector<PHINode *, 8> &Reductions) {
if (!L->getLoopLatch() || !L->getLoopPredecessor())
return false;
for (BasicBlock::iterator I = L->getHeader()->begin(); isa<PHINode>(I); ++I) {
RecurrenceDescriptor RD;
InductionDescriptor ID;
PHINode *PHI = cast<PHINode>(I);
if (InductionDescriptor::isInductionPHI(PHI, SE, ID))
Inductions.push_back(PHI);
else if (RecurrenceDescriptor::isReductionPHI(PHI, L, RD))
Reductions.push_back(PHI);
else {
DEBUG(
dbgs() << "Failed to recognize PHI as an induction or reduction.\n");
return false;
}
}
return true;
}
static bool containsSafePHI(BasicBlock *Block, bool isOuterLoopExitBlock) {
for (auto I = Block->begin(); isa<PHINode>(I); ++I) {
PHINode *PHI = cast<PHINode>(I);
// Reduction lcssa phi will have only 1 incoming block that from loop latch.
if (PHI->getNumIncomingValues() > 1)
return false;
Instruction *Ins = dyn_cast<Instruction>(PHI->getIncomingValue(0));
if (!Ins)
return false;
// Incoming value for lcssa phi's in outer loop exit can only be inner loop
// exits lcssa phi else it would not be tightly nested.
if (!isa<PHINode>(Ins) && isOuterLoopExitBlock)
return false;
}
return true;
}
static BasicBlock *getLoopLatchExitBlock(BasicBlock *LatchBlock,
BasicBlock *LoopHeader) {
if (BranchInst *BI = dyn_cast<BranchInst>(LatchBlock->getTerminator())) {
unsigned Num = BI->getNumSuccessors();
assert(Num == 2);
for (unsigned i = 0; i < Num; ++i) {
if (BI->getSuccessor(i) == LoopHeader)
continue;
return BI->getSuccessor(i);
}
}
return nullptr;
}
// This function indicates the current limitations in the transform as a result
// of which we do not proceed.
bool LoopInterchangeLegality::currentLimitations() {
BasicBlock *InnerLoopPreHeader = InnerLoop->getLoopPreheader();
BasicBlock *InnerLoopHeader = InnerLoop->getHeader();
BasicBlock *InnerLoopLatch = InnerLoop->getLoopLatch();
BasicBlock *OuterLoopLatch = OuterLoop->getLoopLatch();
BasicBlock *OuterLoopHeader = OuterLoop->getHeader();
PHINode *InnerInductionVar;
SmallVector<PHINode *, 8> Inductions;
SmallVector<PHINode *, 8> Reductions;
if (!findInductionAndReductions(InnerLoop, Inductions, Reductions))
return true;
// TODO: Currently we handle only loops with 1 induction variable.
if (Inductions.size() != 1) {
DEBUG(dbgs() << "We currently only support loops with 1 induction variable."
<< "Failed to interchange due to current limitation\n");
return true;
}
if (Reductions.size() > 0)
InnerLoopHasReduction = true;
InnerInductionVar = Inductions.pop_back_val();
Reductions.clear();
if (!findInductionAndReductions(OuterLoop, Inductions, Reductions))
return true;
// Outer loop cannot have reduction because then loops will not be tightly
// nested.
if (!Reductions.empty())
return true;
// TODO: Currently we handle only loops with 1 induction variable.
if (Inductions.size() != 1)
return true;
// TODO: Triangular loops are not handled for now.
if (!isLoopStructureUnderstood(InnerInductionVar)) {
DEBUG(dbgs() << "Loop structure not understood by pass\n");
return true;
}
// TODO: We only handle LCSSA PHI's corresponding to reduction for now.
BasicBlock *LoopExitBlock =
getLoopLatchExitBlock(OuterLoopLatch, OuterLoopHeader);
if (!LoopExitBlock || !containsSafePHI(LoopExitBlock, true))
return true;
LoopExitBlock = getLoopLatchExitBlock(InnerLoopLatch, InnerLoopHeader);
if (!LoopExitBlock || !containsSafePHI(LoopExitBlock, false))
return true;
// TODO: Current limitation: Since we split the inner loop latch at the point
// were induction variable is incremented (induction.next); We cannot have
// more than 1 user of induction.next since it would result in broken code
// after split.
// e.g.
// for(i=0;i<N;i++) {
// for(j = 0;j<M;j++) {
// A[j+1][i+2] = A[j][i]+k;
// }
// }
Instruction *InnerIndexVarInc = nullptr;
if (InnerInductionVar->getIncomingBlock(0) == InnerLoopPreHeader)
InnerIndexVarInc =
dyn_cast<Instruction>(InnerInductionVar->getIncomingValue(1));
else
InnerIndexVarInc =
dyn_cast<Instruction>(InnerInductionVar->getIncomingValue(0));
if (!InnerIndexVarInc)
return true;
// Since we split the inner loop latch on this induction variable. Make sure
// we do not have any instruction between the induction variable and branch
// instruction.
bool FoundInduction = false;
for (const Instruction &I : reverse(*InnerLoopLatch)) {
if (isa<BranchInst>(I) || isa<CmpInst>(I) || isa<TruncInst>(I))
continue;
// We found an instruction. If this is not induction variable then it is not
// safe to split this loop latch.
if (!I.isIdenticalTo(InnerIndexVarInc))
return true;
FoundInduction = true;
break;
}
// The loop latch ended and we didn't find the induction variable return as
// current limitation.
if (!FoundInduction)
return true;
return false;
}
bool LoopInterchangeLegality::canInterchangeLoops(unsigned InnerLoopId,
unsigned OuterLoopId,
CharMatrix &DepMatrix) {
if (!isLegalToInterChangeLoops(DepMatrix, InnerLoopId, OuterLoopId)) {
DEBUG(dbgs() << "Failed interchange InnerLoopId = " << InnerLoopId
<< "and OuterLoopId = " << OuterLoopId
<< "due to dependence\n");
return false;
}
// Create unique Preheaders if we already do not have one.
BasicBlock *OuterLoopPreHeader = OuterLoop->getLoopPreheader();
BasicBlock *InnerLoopPreHeader = InnerLoop->getLoopPreheader();
// Create a unique outer preheader -
// 1) If OuterLoop preheader is not present.
// 2) If OuterLoop Preheader is same as OuterLoop Header
// 3) If OuterLoop Preheader is same as Header of the previous loop.
// 4) If OuterLoop Preheader is Entry node.
if (!OuterLoopPreHeader || OuterLoopPreHeader == OuterLoop->getHeader() ||
isa<PHINode>(OuterLoopPreHeader->begin()) ||
!OuterLoopPreHeader->getUniquePredecessor()) {
OuterLoopPreHeader =
InsertPreheaderForLoop(OuterLoop, DT, LI, PreserveLCSSA);
}
if (!InnerLoopPreHeader || InnerLoopPreHeader == InnerLoop->getHeader() ||
InnerLoopPreHeader == OuterLoop->getHeader()) {
InnerLoopPreHeader =
InsertPreheaderForLoop(InnerLoop, DT, LI, PreserveLCSSA);
}
// TODO: The loops could not be interchanged due to current limitations in the
// transform module.
if (currentLimitations()) {
DEBUG(dbgs() << "Not legal because of current transform limitation\n");
return false;
}
// Check if the loops are tightly nested.
if (!tightlyNested(OuterLoop, InnerLoop)) {
DEBUG(dbgs() << "Loops not tightly nested\n");
return false;
}
return true;
}
int LoopInterchangeProfitability::getInstrOrderCost() {
unsigned GoodOrder, BadOrder;
BadOrder = GoodOrder = 0;
for (auto BI = InnerLoop->block_begin(), BE = InnerLoop->block_end();
BI != BE; ++BI) {
for (Instruction &Ins : **BI) {
if (const GetElementPtrInst *GEP = dyn_cast<GetElementPtrInst>(&Ins)) {
unsigned NumOp = GEP->getNumOperands();
bool FoundInnerInduction = false;
bool FoundOuterInduction = false;
for (unsigned i = 0; i < NumOp; ++i) {
const SCEV *OperandVal = SE->getSCEV(GEP->getOperand(i));
const SCEVAddRecExpr *AR = dyn_cast<SCEVAddRecExpr>(OperandVal);
if (!AR)
continue;
// If we find the inner induction after an outer induction e.g.
// for(int i=0;i<N;i++)
// for(int j=0;j<N;j++)
// A[i][j] = A[i-1][j-1]+k;
// then it is a good order.
if (AR->getLoop() == InnerLoop) {
// We found an InnerLoop induction after OuterLoop induction. It is
// a good order.
FoundInnerInduction = true;
if (FoundOuterInduction) {
GoodOrder++;
break;
}
}
// If we find the outer induction after an inner induction e.g.
// for(int i=0;i<N;i++)
// for(int j=0;j<N;j++)
// A[j][i] = A[j-1][i-1]+k;
// then it is a bad order.
if (AR->getLoop() == OuterLoop) {
// We found an OuterLoop induction after InnerLoop induction. It is
// a bad order.
FoundOuterInduction = true;
if (FoundInnerInduction) {
BadOrder++;
break;
}
}
}
}
}
}
return GoodOrder - BadOrder;
}
static bool isProfitabileForVectorization(unsigned InnerLoopId,
unsigned OuterLoopId,
CharMatrix &DepMatrix) {
// TODO: Improve this heuristic to catch more cases.
// If the inner loop is loop independent or doesn't carry any dependency it is
// profitable to move this to outer position.
unsigned Row = DepMatrix.size();
for (unsigned i = 0; i < Row; ++i) {
if (DepMatrix[i][InnerLoopId] != 'S' && DepMatrix[i][InnerLoopId] != 'I')
return false;
// TODO: We need to improve this heuristic.
if (DepMatrix[i][OuterLoopId] != '=')
return false;
}
// If outer loop has dependence and inner loop is loop independent then it is
// profitable to interchange to enable parallelism.
return true;
}
bool LoopInterchangeProfitability::isProfitable(unsigned InnerLoopId,
unsigned OuterLoopId,
CharMatrix &DepMatrix) {
// TODO: Add better profitability checks.
// e.g
// 1) Construct dependency matrix and move the one with no loop carried dep
// inside to enable vectorization.
// This is rough cost estimation algorithm. It counts the good and bad order
// of induction variables in the instruction and allows reordering if number
// of bad orders is more than good.
int Cost = 0;
Cost += getInstrOrderCost();
DEBUG(dbgs() << "Cost = " << Cost << "\n");
if (Cost < 0)
return true;
// It is not profitable as per current cache profitability model. But check if
// we can move this loop outside to improve parallelism.
bool ImprovesPar =
isProfitabileForVectorization(InnerLoopId, OuterLoopId, DepMatrix);
return ImprovesPar;
}
void LoopInterchangeTransform::removeChildLoop(Loop *OuterLoop,
Loop *InnerLoop) {
for (Loop::iterator I = OuterLoop->begin(), E = OuterLoop->end(); I != E;
++I) {
if (*I == InnerLoop) {
OuterLoop->removeChildLoop(I);
return;
}
}
llvm_unreachable("Couldn't find loop");
}
void LoopInterchangeTransform::restructureLoops(Loop *InnerLoop,
Loop *OuterLoop) {
Loop *OuterLoopParent = OuterLoop->getParentLoop();
if (OuterLoopParent) {
// Remove the loop from its parent loop.
removeChildLoop(OuterLoopParent, OuterLoop);
removeChildLoop(OuterLoop, InnerLoop);
OuterLoopParent->addChildLoop(InnerLoop);
} else {
removeChildLoop(OuterLoop, InnerLoop);
LI->changeTopLevelLoop(OuterLoop, InnerLoop);
}
while (!InnerLoop->empty())
OuterLoop->addChildLoop(InnerLoop->removeChildLoop(InnerLoop->begin()));
InnerLoop->addChildLoop(OuterLoop);
}
bool LoopInterchangeTransform::transform() {
DEBUG(dbgs() << "transform\n");
bool Transformed = false;
Instruction *InnerIndexVar;
if (InnerLoop->getSubLoops().size() == 0) {
BasicBlock *InnerLoopPreHeader = InnerLoop->getLoopPreheader();
DEBUG(dbgs() << "Calling Split Inner Loop\n");
PHINode *InductionPHI = getInductionVariable(InnerLoop, SE);
if (!InductionPHI) {
DEBUG(dbgs() << "Failed to find the point to split loop latch \n");
return false;
}
if (InductionPHI->getIncomingBlock(0) == InnerLoopPreHeader)
InnerIndexVar = dyn_cast<Instruction>(InductionPHI->getIncomingValue(1));
else
InnerIndexVar = dyn_cast<Instruction>(InductionPHI->getIncomingValue(0));
//
// Split at the place were the induction variable is
// incremented/decremented.
// TODO: This splitting logic may not work always. Fix this.
splitInnerLoopLatch(InnerIndexVar);
DEBUG(dbgs() << "splitInnerLoopLatch Done\n");
// Splits the inner loops phi nodes out into a separate basic block.
splitInnerLoopHeader();
DEBUG(dbgs() << "splitInnerLoopHeader Done\n");
}
Transformed |= adjustLoopLinks();
if (!Transformed) {
DEBUG(dbgs() << "adjustLoopLinks Failed\n");
return false;
}
restructureLoops(InnerLoop, OuterLoop);
return true;
}
void LoopInterchangeTransform::splitInnerLoopLatch(Instruction *Inc) {
BasicBlock *InnerLoopLatch = InnerLoop->getLoopLatch();
BasicBlock *InnerLoopLatchPred = InnerLoopLatch;
InnerLoopLatch = SplitBlock(InnerLoopLatchPred, Inc, DT, LI);
}
void LoopInterchangeTransform::splitInnerLoopHeader() {
// Split the inner loop header out. Here make sure that the reduction PHI's
// stay in the innerloop body.
BasicBlock *InnerLoopHeader = InnerLoop->getHeader();
BasicBlock *InnerLoopPreHeader = InnerLoop->getLoopPreheader();
if (InnerLoopHasReduction) {
// FIXME: Check if the induction PHI will always be the first PHI.
BasicBlock *New = InnerLoopHeader->splitBasicBlock(
++(InnerLoopHeader->begin()), InnerLoopHeader->getName() + ".split");
if (LI)
if (Loop *L = LI->getLoopFor(InnerLoopHeader))
L->addBasicBlockToLoop(New, *LI);
// Adjust Reduction PHI's in the block.
SmallVector<PHINode *, 8> PHIVec;
for (auto I = New->begin(); isa<PHINode>(I); ++I) {
PHINode *PHI = dyn_cast<PHINode>(I);
Value *V = PHI->getIncomingValueForBlock(InnerLoopPreHeader);
PHI->replaceAllUsesWith(V);
PHIVec.push_back((PHI));
}
for (PHINode *P : PHIVec) {
P->eraseFromParent();
}
} else {
SplitBlock(InnerLoopHeader, InnerLoopHeader->getFirstNonPHI(), DT, LI);
}
DEBUG(dbgs() << "Output of splitInnerLoopHeader InnerLoopHeaderSucc & "
"InnerLoopHeader \n");
}
/// \brief Move all instructions except the terminator from FromBB right before
/// InsertBefore
static void moveBBContents(BasicBlock *FromBB, Instruction *InsertBefore) {
auto &ToList = InsertBefore->getParent()->getInstList();
auto &FromList = FromBB->getInstList();
ToList.splice(InsertBefore->getIterator(), FromList, FromList.begin(),
FromBB->getTerminator()->getIterator());
}
void LoopInterchangeTransform::updateIncomingBlock(BasicBlock *CurrBlock,
BasicBlock *OldPred,
BasicBlock *NewPred) {
for (auto I = CurrBlock->begin(); isa<PHINode>(I); ++I) {
PHINode *PHI = cast<PHINode>(I);
unsigned Num = PHI->getNumIncomingValues();
for (unsigned i = 0; i < Num; ++i) {
if (PHI->getIncomingBlock(i) == OldPred)
PHI->setIncomingBlock(i, NewPred);
}
}
}
bool LoopInterchangeTransform::adjustLoopBranches() {
DEBUG(dbgs() << "adjustLoopBranches called\n");
// Adjust the loop preheader
BasicBlock *InnerLoopHeader = InnerLoop->getHeader();
BasicBlock *OuterLoopHeader = OuterLoop->getHeader();
BasicBlock *InnerLoopLatch = InnerLoop->getLoopLatch();
BasicBlock *OuterLoopLatch = OuterLoop->getLoopLatch();
BasicBlock *OuterLoopPreHeader = OuterLoop->getLoopPreheader();
BasicBlock *InnerLoopPreHeader = InnerLoop->getLoopPreheader();
BasicBlock *OuterLoopPredecessor = OuterLoopPreHeader->getUniquePredecessor();
BasicBlock *InnerLoopLatchPredecessor =
InnerLoopLatch->getUniquePredecessor();
BasicBlock *InnerLoopLatchSuccessor;
BasicBlock *OuterLoopLatchSuccessor;
BranchInst *OuterLoopLatchBI =
dyn_cast<BranchInst>(OuterLoopLatch->getTerminator());
BranchInst *InnerLoopLatchBI =
dyn_cast<BranchInst>(InnerLoopLatch->getTerminator());
BranchInst *OuterLoopHeaderBI =
dyn_cast<BranchInst>(OuterLoopHeader->getTerminator());
BranchInst *InnerLoopHeaderBI =
dyn_cast<BranchInst>(InnerLoopHeader->getTerminator());
if (!OuterLoopPredecessor || !InnerLoopLatchPredecessor ||
!OuterLoopLatchBI || !InnerLoopLatchBI || !OuterLoopHeaderBI ||
!InnerLoopHeaderBI)
return false;
BranchInst *InnerLoopLatchPredecessorBI =
dyn_cast<BranchInst>(InnerLoopLatchPredecessor->getTerminator());
BranchInst *OuterLoopPredecessorBI =
dyn_cast<BranchInst>(OuterLoopPredecessor->getTerminator());
if (!OuterLoopPredecessorBI || !InnerLoopLatchPredecessorBI)
return false;
BasicBlock *InnerLoopHeaderSuccessor = InnerLoopHeader->getUniqueSuccessor();
if (!InnerLoopHeaderSuccessor)
return false;
// Adjust Loop Preheader and headers
unsigned NumSucc = OuterLoopPredecessorBI->getNumSuccessors();
for (unsigned i = 0; i < NumSucc; ++i) {
if (OuterLoopPredecessorBI->getSuccessor(i) == OuterLoopPreHeader)
OuterLoopPredecessorBI->setSuccessor(i, InnerLoopPreHeader);
}
NumSucc = OuterLoopHeaderBI->getNumSuccessors();
for (unsigned i = 0; i < NumSucc; ++i) {
if (OuterLoopHeaderBI->getSuccessor(i) == OuterLoopLatch)
OuterLoopHeaderBI->setSuccessor(i, LoopExit);
else if (OuterLoopHeaderBI->getSuccessor(i) == InnerLoopPreHeader)
OuterLoopHeaderBI->setSuccessor(i, InnerLoopHeaderSuccessor);
}
// Adjust reduction PHI's now that the incoming block has changed.
updateIncomingBlock(InnerLoopHeaderSuccessor, InnerLoopHeader,
OuterLoopHeader);
BranchInst::Create(OuterLoopPreHeader, InnerLoopHeaderBI);
InnerLoopHeaderBI->eraseFromParent();
// -------------Adjust loop latches-----------
if (InnerLoopLatchBI->getSuccessor(0) == InnerLoopHeader)
InnerLoopLatchSuccessor = InnerLoopLatchBI->getSuccessor(1);
else
InnerLoopLatchSuccessor = InnerLoopLatchBI->getSuccessor(0);
NumSucc = InnerLoopLatchPredecessorBI->getNumSuccessors();
for (unsigned i = 0; i < NumSucc; ++i) {
if (InnerLoopLatchPredecessorBI->getSuccessor(i) == InnerLoopLatch)
InnerLoopLatchPredecessorBI->setSuccessor(i, InnerLoopLatchSuccessor);
}
// Adjust PHI nodes in InnerLoopLatchSuccessor. Update all uses of PHI with
// the value and remove this PHI node from inner loop.
SmallVector<PHINode *, 8> LcssaVec;
for (auto I = InnerLoopLatchSuccessor->begin(); isa<PHINode>(I); ++I) {
PHINode *LcssaPhi = cast<PHINode>(I);
LcssaVec.push_back(LcssaPhi);
}
for (PHINode *P : LcssaVec) {
Value *Incoming = P->getIncomingValueForBlock(InnerLoopLatch);
P->replaceAllUsesWith(Incoming);
P->eraseFromParent();
}
if (OuterLoopLatchBI->getSuccessor(0) == OuterLoopHeader)
OuterLoopLatchSuccessor = OuterLoopLatchBI->getSuccessor(1);
else
OuterLoopLatchSuccessor = OuterLoopLatchBI->getSuccessor(0);
if (InnerLoopLatchBI->getSuccessor(1) == InnerLoopLatchSuccessor)
InnerLoopLatchBI->setSuccessor(1, OuterLoopLatchSuccessor);
else
InnerLoopLatchBI->setSuccessor(0, OuterLoopLatchSuccessor);
updateIncomingBlock(OuterLoopLatchSuccessor, OuterLoopLatch, InnerLoopLatch);
if (OuterLoopLatchBI->getSuccessor(0) == OuterLoopLatchSuccessor) {
OuterLoopLatchBI->setSuccessor(0, InnerLoopLatch);
} else {
OuterLoopLatchBI->setSuccessor(1, InnerLoopLatch);
}
return true;
}
void LoopInterchangeTransform::adjustLoopPreheaders() {
// We have interchanged the preheaders so we need to interchange the data in
// the preheader as well.
// This is because the content of inner preheader was previously executed
// inside the outer loop.
BasicBlock *OuterLoopPreHeader = OuterLoop->getLoopPreheader();
BasicBlock *InnerLoopPreHeader = InnerLoop->getLoopPreheader();
BasicBlock *OuterLoopHeader = OuterLoop->getHeader();
BranchInst *InnerTermBI =
cast<BranchInst>(InnerLoopPreHeader->getTerminator());
// These instructions should now be executed inside the loop.
// Move instruction into a new block after outer header.
moveBBContents(InnerLoopPreHeader, OuterLoopHeader->getTerminator());
// These instructions were not executed previously in the loop so move them to
// the older inner loop preheader.
moveBBContents(OuterLoopPreHeader, InnerTermBI);
}
bool LoopInterchangeTransform::adjustLoopLinks() {
// Adjust all branches in the inner and outer loop.
bool Changed = adjustLoopBranches();
if (Changed)
adjustLoopPreheaders();
return Changed;
}
char LoopInterchange::ID = 0;
INITIALIZE_PASS_BEGIN(LoopInterchange, "loop-interchange",
"Interchanges loops for cache reuse", false, false)
[PM/AA] Rebuild LLVM's alias analysis infrastructure in a way compatible with the new pass manager, and no longer relying on analysis groups. This builds essentially a ground-up new AA infrastructure stack for LLVM. The core ideas are the same that are used throughout the new pass manager: type erased polymorphism and direct composition. The design is as follows: - FunctionAAResults is a type-erasing alias analysis results aggregation interface to walk a single query across a range of results from different alias analyses. Currently this is function-specific as we always assume that aliasing queries are *within* a function. - AAResultBase is a CRTP utility providing stub implementations of various parts of the alias analysis result concept, notably in several cases in terms of other more general parts of the interface. This can be used to implement only a narrow part of the interface rather than the entire interface. This isn't really ideal, this logic should be hoisted into FunctionAAResults as currently it will cause a significant amount of redundant work, but it faithfully models the behavior of the prior infrastructure. - All the alias analysis passes are ported to be wrapper passes for the legacy PM and new-style analysis passes for the new PM with a shared result object. In some cases (most notably CFL), this is an extremely naive approach that we should revisit when we can specialize for the new pass manager. - BasicAA has been restructured to reflect that it is much more fundamentally a function analysis because it uses dominator trees and loop info that need to be constructed for each function. All of the references to getting alias analysis results have been updated to use the new aggregation interface. All the preservation and other pass management code has been updated accordingly. The way the FunctionAAResultsWrapperPass works is to detect the available alias analyses when run, and add them to the results object. This means that we should be able to continue to respect when various passes are added to the pipeline, for example adding CFL or adding TBAA passes should just cause their results to be available and to get folded into this. The exception to this rule is BasicAA which really needs to be a function pass due to using dominator trees and loop info. As a consequence, the FunctionAAResultsWrapperPass directly depends on BasicAA and always includes it in the aggregation. This has significant implications for preserving analyses. Generally, most passes shouldn't bother preserving FunctionAAResultsWrapperPass because rebuilding the results just updates the set of known AA passes. The exception to this rule are LoopPass instances which need to preserve all the function analyses that the loop pass manager will end up needing. This means preserving both BasicAAWrapperPass and the aggregating FunctionAAResultsWrapperPass. Now, when preserving an alias analysis, you do so by directly preserving that analysis. This is only necessary for non-immutable-pass-provided alias analyses though, and there are only three of interest: BasicAA, GlobalsAA (formerly GlobalsModRef), and SCEVAA. Usually BasicAA is preserved when needed because it (like DominatorTree and LoopInfo) is marked as a CFG-only pass. I've expanded GlobalsAA into the preserved set everywhere we previously were preserving all of AliasAnalysis, and I've added SCEVAA in the intersection of that with where we preserve SCEV itself. One significant challenge to all of this is that the CGSCC passes were actually using the alias analysis implementations by taking advantage of a pretty amazing set of loop holes in the old pass manager's analysis management code which allowed analysis groups to slide through in many cases. Moving away from analysis groups makes this problem much more obvious. To fix it, I've leveraged the flexibility the design of the new PM components provides to just directly construct the relevant alias analyses for the relevant functions in the IPO passes that need them. This is a bit hacky, but should go away with the new pass manager, and is already in many ways cleaner than the prior state. Another significant challenge is that various facilities of the old alias analysis infrastructure just don't fit any more. The most significant of these is the alias analysis 'counter' pass. That pass relied on the ability to snoop on AA queries at different points in the analysis group chain. Instead, I'm planning to build printing functionality directly into the aggregation layer. I've not included that in this patch merely to keep it smaller. Note that all of this needs a nearly complete rewrite of the AA documentation. I'm planning to do that, but I'd like to make sure the new design settles, and to flesh out a bit more of what it looks like in the new pass manager first. Differential Revision: http://reviews.llvm.org/D12080 llvm-svn: 247167
2015-09-09 19:55:00 +02:00
INITIALIZE_PASS_DEPENDENCY(AAResultsWrapperPass)
INITIALIZE_PASS_DEPENDENCY(DependenceAnalysisWrapperPass)
INITIALIZE_PASS_DEPENDENCY(DominatorTreeWrapperPass)
[PM] Port ScalarEvolution to the new pass manager. This change makes ScalarEvolution a stand-alone object and just produces one from a pass as needed. Making this work well requires making the object movable, using references instead of overwritten pointers in a number of places, and other refactorings. I've also wired it up to the new pass manager and added a RUN line to a test to exercise it under the new pass manager. This includes basic printing support much like with other analyses. But there is a big and somewhat scary change here. Prior to this patch ScalarEvolution was never *actually* invalidated!!! Re-running the pass just re-wired up the various other analyses and didn't remove any of the existing entries in the SCEV caches or clear out anything at all. This might seem OK as everything in SCEV that can uses ValueHandles to track updates to the values that serve as SCEV keys. However, this still means that as we ran SCEV over each function in the module, we kept accumulating more and more SCEVs into the cache. At the end, we would have a SCEV cache with every value that we ever needed a SCEV for in the entire module!!! Yowzers. The releaseMemory routine would dump all of this, but that isn't realy called during normal runs of the pipeline as far as I can see. To make matters worse, there *is* actually a key that we don't update with value handles -- there is a map keyed off of Loop*s. Because LoopInfo *does* release its memory from run to run, it is entirely possible to run SCEV over one function, then over another function, and then lookup a Loop* from the second function but find an entry inserted for the first function! Ouch. To make matters still worse, there are plenty of updates that *don't* trip a value handle. It seems incredibly unlikely that today GVN or another pass that invalidates SCEV can update values in *just* such a way that a subsequent run of SCEV will incorrectly find lookups in a cache, but it is theoretically possible and would be a nightmare to debug. With this refactoring, I've fixed all this by actually destroying and recreating the ScalarEvolution object from run to run. Technically, this could increase the amount of malloc traffic we see, but then again it is also technically correct. ;] I don't actually think we're suffering from tons of malloc traffic from SCEV because if we were, the fact that we never clear the memory would seem more likely to have come up as an actual problem before now. So, I've made the simple fix here. If in fact there are serious issues with too much allocation and deallocation, I can work on a clever fix that preserves the allocations (while clearing the data) between each run, but I'd prefer to do that kind of optimization with a test case / benchmark that shows why we need such cleverness (and that can test that we actually make it faster). It's possible that this will make some things faster by making the SCEV caches have higher locality (due to being significantly smaller) so until there is a clear benchmark, I think the simple change is best. Differential Revision: http://reviews.llvm.org/D12063 llvm-svn: 245193
2015-08-17 04:08:17 +02:00
INITIALIZE_PASS_DEPENDENCY(ScalarEvolutionWrapperPass)
INITIALIZE_PASS_DEPENDENCY(LoopSimplify)
INITIALIZE_PASS_DEPENDENCY(LCSSAWrapperPass)
INITIALIZE_PASS_DEPENDENCY(LoopInfoWrapperPass)
INITIALIZE_PASS_END(LoopInterchange, "loop-interchange",
"Interchanges loops for cache reuse", false, false)
Pass *llvm::createLoopInterchangePass() { return new LoopInterchange(); }