forked from OSchip/llvm-project
SIV/MIV classification for LDA.
LoopDependenceAnalysis::getLoops is currently O(N*M) for a loop-nest of depth N and a compound SCEV of M atomic SCEVs. As both N and M will typically be very small, this should not be a problem. If it turns out to be one, rewriting getLoops as SCEVVisitor will reduce complexity to O(M). llvm-svn: 78394
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@ -20,6 +20,7 @@
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#ifndef LLVM_ANALYSIS_LOOP_DEPENDENCE_ANALYSIS_H
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#define LLVM_ANALYSIS_LOOP_DEPENDENCE_ANALYSIS_H
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#include "llvm/ADT/DenseSet.h"
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#include "llvm/ADT/FoldingSet.h"
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#include "llvm/ADT/SmallVector.h"
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#include "llvm/Analysis/LoopPass.h"
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@ -67,6 +68,10 @@ class LoopDependenceAnalysis : public LoopPass {
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/// created. The third argument is set to the pair found or created.
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bool findOrInsertDependencePair(Value*, Value*, DependencePair*&);
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/// getLoops - Collect all loops of the loop-nest L a given SCEV is variant
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/// in.
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void getLoops(const SCEV*, DenseSet<const Loop*>*) const;
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/// isLoopInvariant - True if a given SCEV is invariant in all loops of the
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/// loop-nest starting at the innermost loop L.
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bool isLoopInvariant(const SCEV*) const;
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@ -78,7 +83,10 @@ class LoopDependenceAnalysis : public LoopPass {
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/// TODO: doc
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bool isZIVPair(const SCEV*, const SCEV*) const;
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bool isSIVPair(const SCEV*, const SCEV*) const;
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DependenceResult analyseZIV(const SCEV*, const SCEV*, Subscript*) const;
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DependenceResult analyseSIV(const SCEV*, const SCEV*, Subscript*) const;
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DependenceResult analyseMIV(const SCEV*, const SCEV*, Subscript*) const;
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DependenceResult analyseSubscript(const SCEV*, const SCEV*, Subscript*) const;
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DependenceResult analysePair(DependencePair*) const;
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@ -20,6 +20,7 @@
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//===----------------------------------------------------------------------===//
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#define DEBUG_TYPE "lda"
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#include "llvm/ADT/DenseSet.h"
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#include "llvm/ADT/Statistic.h"
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#include "llvm/Analysis/AliasAnalysis.h"
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#include "llvm/Analysis/LoopDependenceAnalysis.h"
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@ -124,11 +125,18 @@ bool LoopDependenceAnalysis::findOrInsertDependencePair(Value *A,
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return false;
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}
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bool LoopDependenceAnalysis::isLoopInvariant(const SCEV *S) const {
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void LoopDependenceAnalysis::getLoops(const SCEV *S,
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DenseSet<const Loop*>* Loops) const {
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// Refactor this into an SCEVVisitor, if efficiency becomes a concern.
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for (const Loop *L = this->L; L != 0; L = L->getParentLoop())
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if (!S->isLoopInvariant(L))
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return false;
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return true;
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Loops->insert(L);
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}
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bool LoopDependenceAnalysis::isLoopInvariant(const SCEV *S) const {
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DenseSet<const Loop*> loops;
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getLoops(S, &loops);
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return loops.empty();
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}
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bool LoopDependenceAnalysis::isAffine(const SCEV *S) const {
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@ -140,6 +148,13 @@ bool LoopDependenceAnalysis::isZIVPair(const SCEV *A, const SCEV *B) const {
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return isLoopInvariant(A) && isLoopInvariant(B);
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}
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bool LoopDependenceAnalysis::isSIVPair(const SCEV *A, const SCEV *B) const {
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DenseSet<const Loop*> loops;
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getLoops(A, &loops);
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getLoops(B, &loops);
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return loops.size() == 1;
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}
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LoopDependenceAnalysis::DependenceResult
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LoopDependenceAnalysis::analyseZIV(const SCEV *A,
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const SCEV *B,
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return A == B ? Dependent : Independent;
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}
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LoopDependenceAnalysis::DependenceResult
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LoopDependenceAnalysis::analyseSIV(const SCEV *A,
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const SCEV *B,
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Subscript *S) const {
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return Unknown; // TODO: Implement.
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}
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LoopDependenceAnalysis::DependenceResult
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LoopDependenceAnalysis::analyseMIV(const SCEV *A,
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const SCEV *B,
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Subscript *S) const {
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return Unknown; // TODO: Implement.
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}
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LoopDependenceAnalysis::DependenceResult
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LoopDependenceAnalysis::analyseSubscript(const SCEV *A,
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const SCEV *B,
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@ -167,10 +196,10 @@ LoopDependenceAnalysis::analyseSubscript(const SCEV *A,
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if (isZIVPair(A, B))
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return analyseZIV(A, B, S);
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// TODO: Implement SIV/MIV testers.
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if (isSIVPair(A, B))
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return analyseSIV(A, B, S);
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DEBUG(errs() << " -> [?] cannot analyse subscript\n");
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return Unknown;
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return analyseMIV(A, B, S);
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}
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LoopDependenceAnalysis::DependenceResult
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