xref: /freebsd/contrib/llvm-project/llvm/include/llvm/Analysis/LoopUnrollAnalyzer.h (revision 700637cbb5e582861067a11aaca4d053546871d2)
1 //===- llvm/Analysis/LoopUnrollAnalyzer.h - Loop Unroll Analyzer-*- C++ -*-===//
2 //
3 // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
4 // See https://llvm.org/LICENSE.txt for license information.
5 // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
6 //
7 //===----------------------------------------------------------------------===//
8 //
9 // This file implements UnrolledInstAnalyzer class. It's used for predicting
10 // potential effects that loop unrolling might have, such as enabling constant
11 // propagation and other optimizations.
12 //
13 //===----------------------------------------------------------------------===//
14 
15 #ifndef LLVM_ANALYSIS_LOOPUNROLLANALYZER_H
16 #define LLVM_ANALYSIS_LOOPUNROLLANALYZER_H
17 
18 #include "llvm/ADT/APInt.h"
19 #include "llvm/ADT/DenseMap.h"
20 #include "llvm/Analysis/ScalarEvolution.h"
21 #include "llvm/IR/InstVisitor.h"
22 #include "llvm/Support/Compiler.h"
23 
24 // This class is used to get an estimate of the optimization effects that we
25 // could get from complete loop unrolling. It comes from the fact that some
26 // loads might be replaced with concrete constant values and that could trigger
27 // a chain of instruction simplifications.
28 //
29 // E.g. we might have:
30 //   int a[] = {0, 1, 0};
31 //   v = 0;
32 //   for (i = 0; i < 3; i ++)
33 //     v += b[i]*a[i];
34 // If we completely unroll the loop, we would get:
35 //   v = b[0]*a[0] + b[1]*a[1] + b[2]*a[2]
36 // Which then will be simplified to:
37 //   v = b[0]* 0 + b[1]* 1 + b[2]* 0
38 // And finally:
39 //   v = b[1]
40 namespace llvm {
41 class Instruction;
42 
43 class UnrolledInstAnalyzer : private InstVisitor<UnrolledInstAnalyzer, bool> {
44   typedef InstVisitor<UnrolledInstAnalyzer, bool> Base;
45   friend class InstVisitor<UnrolledInstAnalyzer, bool>;
46   struct SimplifiedAddress {
47     Value *Base = nullptr;
48     APInt Offset;
49   };
50 
51 public:
UnrolledInstAnalyzer(unsigned Iteration,DenseMap<Value *,Value * > & SimplifiedValues,ScalarEvolution & SE,const Loop * L)52   UnrolledInstAnalyzer(unsigned Iteration,
53                        DenseMap<Value *, Value *> &SimplifiedValues,
54                        ScalarEvolution &SE, const Loop *L)
55       : SimplifiedValues(SimplifiedValues), SE(SE), L(L) {
56       IterationNumber = SE.getConstant(APInt(64, Iteration));
57   }
58 
59   // Allow access to the initial visit method.
60   using Base::visit;
61 
62 private:
63   /// A cache of pointer bases and constant-folded offsets corresponding
64   /// to GEP (or derived from GEP) instructions.
65   ///
66   /// In order to find the base pointer one needs to perform non-trivial
67   /// traversal of the corresponding SCEV expression, so it's good to have the
68   /// results saved.
69   DenseMap<Value *, SimplifiedAddress> SimplifiedAddresses;
70 
71   /// SCEV expression corresponding to number of currently simulated
72   /// iteration.
73   const SCEV *IterationNumber;
74 
75   /// While we walk the loop instructions, we build up and maintain a mapping
76   /// of simplified values specific to this iteration.  The idea is to propagate
77   /// any special information we have about loads that can be replaced with
78   /// constants after complete unrolling, and account for likely simplifications
79   /// post-unrolling.
80   DenseMap<Value *, Value *> &SimplifiedValues;
81 
82   ScalarEvolution &SE;
83   const Loop *L;
84 
85   bool simplifyInstWithSCEV(Instruction *I);
86 
87   LLVM_ABI bool visitInstruction(Instruction &I);
88   LLVM_ABI bool visitBinaryOperator(BinaryOperator &I);
89   LLVM_ABI bool visitLoad(LoadInst &I);
90   LLVM_ABI bool visitCastInst(CastInst &I);
91   LLVM_ABI bool visitCmpInst(CmpInst &I);
92   LLVM_ABI bool visitPHINode(PHINode &PN);
93 };
94 }
95 #endif
96