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authorRalf Luther <luther.ralf@gmail.com>2019-03-27 20:23:17 +0000
committerGerrit Code Review <gerrit2@aicp-server-3>2019-03-27 20:23:17 +0000
commit1ce3a9d272e564b22a1333a1e36a3d3ab7cfab01 (patch)
tree391382eadd4fec5bb480f2e8934fa352770221d1 /clang-r353983/include/llvm/Analysis/LegacyDivergenceAnalysis.h
parentd1d48b140bafaa8a50107292f5fce95562575765 (diff)
parent4f56932d3416ac03f646bc1a611b3135fec2fe08 (diff)
Merge "Update prebuilt Clang to r353983." into p9.0HEADp9.0-backupp9.0
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+//===- 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_LEGACY_DIVERGENCE_ANALYSIS_H
+#define LLVM_ANALYSIS_LEGACY_DIVERGENCE_ANALYSIS_H
+
+#include "llvm/ADT/DenseSet.h"
+#include "llvm/IR/Function.h"
+#include "llvm/Pass.h"
+#include "llvm/Analysis/DivergenceAnalysis.h"
+
+namespace llvm {
+class Value;
+class GPUDivergenceAnalysis;
+class LegacyDivergenceAnalysis : public FunctionPass {
+public:
+ static char ID;
+
+ LegacyDivergenceAnalysis() : FunctionPass(ID) {
+ initializeLegacyDivergenceAnalysisPass(*PassRegistry::getPassRegistry());
+ }
+
+ 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.
+ //
+ // Even if this function returns false, V may still be divergent when used
+ // in a different basic block.
+ bool isDivergent(const Value *V) const;
+
+ // Returns true if V is uniform/non-divergent.
+ //
+ // Even if this function returns true, V may still be divergent when used
+ // in a different basic block.
+ bool isUniform(const Value *V) const { return !isDivergent(V); }
+
+ // 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;
+
+ // (optional) handle to new DivergenceAnalysis
+ std::unique_ptr<GPUDivergenceAnalysis> gpuDA;
+
+ // Stores all divergent values.
+ DenseSet<const Value *> DivergentValues;
+};
+} // End llvm namespace
+
+#endif //LLVM_ANALYSIS_LEGACY_DIVERGENCE_ANALYSIS_H