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llvm-mirror/include/llvm/Analysis/LegacyDivergenceAnalysis.h
Sameer Sahasrabuddhe 76fb79614f [NewPM] Introduce (GPU)DivergenceAnalysis in the new pass manager
The GPUDivergenceAnalysis is now renamed to just "DivergenceAnalysis"
since there is no conflict with LegacyDivergenceAnalysis. In the
legacy PM, this analysis can only be used through the legacy DA
serving as a wrapper. It is now made available as a pass in the new
PM, and has no relation with the legacy DA.

The new DA currently cannot handle irreducible control flow; its
presence can cause the analysis to run indefinitely. The analysis is
now modified to detect this and report all instructions in the
function as divergent. This is super conservative, but allows the
analysis to be used without hanging the compiler.

Reviewed By: aeubanks

Differential Revision: https://reviews.llvm.org/D96615
2021-02-16 10:26:45 +05:30

77 lines
2.5 KiB
C++

//===- llvm/Analysis/LegacyDivergenceAnalysis.h - KernelDivergence Analysis -*- C++ -*-===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
//
// The kernel divergence analysis is an LLVM pass which can be used to find out
// if a branch instruction in a GPU program (kernel) is divergent or not. It can help
// branch optimizations such as jump threading and loop unswitching to make
// better decisions.
//
//===----------------------------------------------------------------------===//
#ifndef LLVM_ANALYSIS_LEGACYDIVERGENCEANALYSIS_H
#define LLVM_ANALYSIS_LEGACYDIVERGENCEANALYSIS_H
#include "llvm/ADT/DenseSet.h"
#include "llvm/Pass.h"
#include <memory>
namespace llvm {
class DivergenceInfo;
class Function;
class Module;
class raw_ostream;
class TargetTransformInfo;
class Use;
class Value;
class LegacyDivergenceAnalysis : public FunctionPass {
public:
static char ID;
LegacyDivergenceAnalysis();
void getAnalysisUsage(AnalysisUsage &AU) const override;
bool runOnFunction(Function &F) override;
// Print all divergent branches in the function.
void print(raw_ostream &OS, const Module *) const override;
// Returns true if V is divergent at its definition.
bool isDivergent(const Value *V) const;
// Returns true if U is divergent. Uses of a uniform value can be divergent.
bool isDivergentUse(const Use *U) const;
// Returns true if V is uniform/non-divergent.
bool isUniform(const Value *V) const { return !isDivergent(V); }
// Returns true if U is uniform/non-divergent. Uses of a uniform value can be
// divergent.
bool isUniformUse(const Use *U) const { return !isDivergentUse(U); }
// Keep the analysis results uptodate by removing an erased value.
void removeValue(const Value *V) { DivergentValues.erase(V); }
private:
// Whether analysis should be performed by GPUDivergenceAnalysis.
bool shouldUseGPUDivergenceAnalysis(const Function &F,
const TargetTransformInfo &TTI) const;
// (optional) handle to new DivergenceAnalysis
std::unique_ptr<DivergenceInfo> gpuDA;
// Stores all divergent values.
DenseSet<const Value *> DivergentValues;
// Stores divergent uses of possibly uniform values.
DenseSet<const Use *> DivergentUses;
};
} // End llvm namespace
#endif // LLVM_ANALYSIS_LEGACYDIVERGENCEANALYSIS_H