1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291
|
//===- GenericDomTreeConstruction.h - Dominator Calculation ------*- C++ -*-==//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
/// \file
///
/// Generic dominator tree construction - This file provides routines to
/// construct immediate dominator information for a flow-graph based on the
/// algorithm described in this document:
///
/// A Fast Algorithm for Finding Dominators in a Flowgraph
/// T. Lengauer & R. Tarjan, ACM TOPLAS July 1979, pgs 121-141.
///
/// This implements the O(n*log(n)) versions of EVAL and LINK, because it turns
/// out that the theoretically slower O(n*log(n)) implementation is actually
/// faster than the almost-linear O(n*alpha(n)) version, even for large CFGs.
///
//===----------------------------------------------------------------------===//
#ifndef LLVM_SUPPORT_GENERICDOMTREECONSTRUCTION_H
#define LLVM_SUPPORT_GENERICDOMTREECONSTRUCTION_H
#include "llvm/ADT/SmallPtrSet.h"
#include "llvm/Support/GenericDomTree.h"
namespace llvm {
template<class GraphT>
unsigned DFSPass(DominatorTreeBase<typename GraphT::NodeType>& DT,
typename GraphT::NodeType* V, unsigned N) {
// This is more understandable as a recursive algorithm, but we can't use the
// recursive algorithm due to stack depth issues. Keep it here for
// documentation purposes.
#if 0
InfoRec &VInfo = DT.Info[DT.Roots[i]];
VInfo.DFSNum = VInfo.Semi = ++N;
VInfo.Label = V;
Vertex.push_back(V); // Vertex[n] = V;
for (succ_iterator SI = succ_begin(V), E = succ_end(V); SI != E; ++SI) {
InfoRec &SuccVInfo = DT.Info[*SI];
if (SuccVInfo.Semi == 0) {
SuccVInfo.Parent = V;
N = DTDFSPass(DT, *SI, N);
}
}
#else
bool IsChildOfArtificialExit = (N != 0);
SmallVector<std::pair<typename GraphT::NodeType*,
typename GraphT::ChildIteratorType>, 32> Worklist;
Worklist.push_back(std::make_pair(V, GraphT::child_begin(V)));
while (!Worklist.empty()) {
typename GraphT::NodeType* BB = Worklist.back().first;
typename GraphT::ChildIteratorType NextSucc = Worklist.back().second;
typename DominatorTreeBase<typename GraphT::NodeType>::InfoRec &BBInfo =
DT.Info[BB];
// First time we visited this BB?
if (NextSucc == GraphT::child_begin(BB)) {
BBInfo.DFSNum = BBInfo.Semi = ++N;
BBInfo.Label = BB;
DT.Vertex.push_back(BB); // Vertex[n] = V;
if (IsChildOfArtificialExit)
BBInfo.Parent = 1;
IsChildOfArtificialExit = false;
}
// store the DFS number of the current BB - the reference to BBInfo might
// get invalidated when processing the successors.
unsigned BBDFSNum = BBInfo.DFSNum;
// If we are done with this block, remove it from the worklist.
if (NextSucc == GraphT::child_end(BB)) {
Worklist.pop_back();
continue;
}
// Increment the successor number for the next time we get to it.
++Worklist.back().second;
// Visit the successor next, if it isn't already visited.
typename GraphT::NodeType* Succ = *NextSucc;
typename DominatorTreeBase<typename GraphT::NodeType>::InfoRec &SuccVInfo =
DT.Info[Succ];
if (SuccVInfo.Semi == 0) {
SuccVInfo.Parent = BBDFSNum;
Worklist.push_back(std::make_pair(Succ, GraphT::child_begin(Succ)));
}
}
#endif
return N;
}
template <class GraphT>
typename GraphT::NodeType *
Eval(DominatorTreeBase<typename GraphT::NodeType> &DT,
typename GraphT::NodeType *VIn, unsigned LastLinked) {
typename DominatorTreeBase<typename GraphT::NodeType>::InfoRec &VInInfo =
DT.Info[VIn];
if (VInInfo.DFSNum < LastLinked)
return VIn;
SmallVector<typename GraphT::NodeType*, 32> Work;
SmallPtrSet<typename GraphT::NodeType*, 32> Visited;
if (VInInfo.Parent >= LastLinked)
Work.push_back(VIn);
while (!Work.empty()) {
typename GraphT::NodeType* V = Work.back();
typename DominatorTreeBase<typename GraphT::NodeType>::InfoRec &VInfo =
DT.Info[V];
typename GraphT::NodeType* VAncestor = DT.Vertex[VInfo.Parent];
// Process Ancestor first
if (Visited.insert(VAncestor).second && VInfo.Parent >= LastLinked) {
Work.push_back(VAncestor);
continue;
}
Work.pop_back();
// Update VInfo based on Ancestor info
if (VInfo.Parent < LastLinked)
continue;
typename DominatorTreeBase<typename GraphT::NodeType>::InfoRec &VAInfo =
DT.Info[VAncestor];
typename GraphT::NodeType* VAncestorLabel = VAInfo.Label;
typename GraphT::NodeType* VLabel = VInfo.Label;
if (DT.Info[VAncestorLabel].Semi < DT.Info[VLabel].Semi)
VInfo.Label = VAncestorLabel;
VInfo.Parent = VAInfo.Parent;
}
return VInInfo.Label;
}
template<class FuncT, class NodeT>
void Calculate(DominatorTreeBase<typename GraphTraits<NodeT>::NodeType>& DT,
FuncT& F) {
typedef GraphTraits<NodeT> GraphT;
unsigned N = 0;
bool MultipleRoots = (DT.Roots.size() > 1);
if (MultipleRoots) {
typename DominatorTreeBase<typename GraphT::NodeType>::InfoRec &BBInfo =
DT.Info[nullptr];
BBInfo.DFSNum = BBInfo.Semi = ++N;
BBInfo.Label = nullptr;
DT.Vertex.push_back(nullptr); // Vertex[n] = V;
}
// Step #1: Number blocks in depth-first order and initialize variables used
// in later stages of the algorithm.
for (unsigned i = 0, e = static_cast<unsigned>(DT.Roots.size());
i != e; ++i)
N = DFSPass<GraphT>(DT, DT.Roots[i], N);
// it might be that some blocks did not get a DFS number (e.g., blocks of
// infinite loops). In these cases an artificial exit node is required.
MultipleRoots |= (DT.isPostDominator() && N != GraphTraits<FuncT*>::size(&F));
// When naively implemented, the Lengauer-Tarjan algorithm requires a separate
// bucket for each vertex. However, this is unnecessary, because each vertex
// is only placed into a single bucket (that of its semidominator), and each
// vertex's bucket is processed before it is added to any bucket itself.
//
// Instead of using a bucket per vertex, we use a single array Buckets that
// has two purposes. Before the vertex V with preorder number i is processed,
// Buckets[i] stores the index of the first element in V's bucket. After V's
// bucket is processed, Buckets[i] stores the index of the next element in the
// bucket containing V, if any.
SmallVector<unsigned, 32> Buckets;
Buckets.resize(N + 1);
for (unsigned i = 1; i <= N; ++i)
Buckets[i] = i;
for (unsigned i = N; i >= 2; --i) {
typename GraphT::NodeType* W = DT.Vertex[i];
typename DominatorTreeBase<typename GraphT::NodeType>::InfoRec &WInfo =
DT.Info[W];
// Step #2: Implicitly define the immediate dominator of vertices
for (unsigned j = i; Buckets[j] != i; j = Buckets[j]) {
typename GraphT::NodeType* V = DT.Vertex[Buckets[j]];
typename GraphT::NodeType* U = Eval<GraphT>(DT, V, i + 1);
DT.IDoms[V] = DT.Info[U].Semi < i ? U : W;
}
// Step #3: Calculate the semidominators of all vertices
// initialize the semi dominator to point to the parent node
WInfo.Semi = WInfo.Parent;
typedef GraphTraits<Inverse<NodeT> > InvTraits;
for (typename InvTraits::ChildIteratorType CI =
InvTraits::child_begin(W),
E = InvTraits::child_end(W); CI != E; ++CI) {
typename InvTraits::NodeType *N = *CI;
if (DT.Info.count(N)) { // Only if this predecessor is reachable!
unsigned SemiU = DT.Info[Eval<GraphT>(DT, N, i + 1)].Semi;
if (SemiU < WInfo.Semi)
WInfo.Semi = SemiU;
}
}
// If V is a non-root vertex and sdom(V) = parent(V), then idom(V) is
// necessarily parent(V). In this case, set idom(V) here and avoid placing
// V into a bucket.
if (WInfo.Semi == WInfo.Parent) {
DT.IDoms[W] = DT.Vertex[WInfo.Parent];
} else {
Buckets[i] = Buckets[WInfo.Semi];
Buckets[WInfo.Semi] = i;
}
}
if (N >= 1) {
typename GraphT::NodeType* Root = DT.Vertex[1];
for (unsigned j = 1; Buckets[j] != 1; j = Buckets[j]) {
typename GraphT::NodeType* V = DT.Vertex[Buckets[j]];
DT.IDoms[V] = Root;
}
}
// Step #4: Explicitly define the immediate dominator of each vertex
for (unsigned i = 2; i <= N; ++i) {
typename GraphT::NodeType* W = DT.Vertex[i];
typename GraphT::NodeType*& WIDom = DT.IDoms[W];
if (WIDom != DT.Vertex[DT.Info[W].Semi])
WIDom = DT.IDoms[WIDom];
}
if (DT.Roots.empty()) return;
// Add a node for the root. This node might be the actual root, if there is
// one exit block, or it may be the virtual exit (denoted by (BasicBlock *)0)
// which postdominates all real exits if there are multiple exit blocks, or
// an infinite loop.
typename GraphT::NodeType* Root = !MultipleRoots ? DT.Roots[0] : nullptr;
DT.RootNode =
(DT.DomTreeNodes[Root] =
llvm::make_unique<DomTreeNodeBase<typename GraphT::NodeType>>(
Root, nullptr)).get();
// Loop over all of the reachable blocks in the function...
for (unsigned i = 2; i <= N; ++i) {
typename GraphT::NodeType* W = DT.Vertex[i];
// Don't replace this with 'count', the insertion side effect is important
if (DT.DomTreeNodes[W])
continue; // Haven't calculated this node yet?
typename GraphT::NodeType* ImmDom = DT.getIDom(W);
assert(ImmDom || DT.DomTreeNodes[nullptr]);
// Get or calculate the node for the immediate dominator
DomTreeNodeBase<typename GraphT::NodeType> *IDomNode =
DT.getNodeForBlock(ImmDom);
// Add a new tree node for this BasicBlock, and link it as a child of
// IDomNode
DT.DomTreeNodes[W] = IDomNode->addChild(
llvm::make_unique<DomTreeNodeBase<typename GraphT::NodeType>>(
W, IDomNode));
}
// Free temporary memory used to construct idom's
DT.IDoms.clear();
DT.Info.clear();
DT.Vertex.clear();
DT.Vertex.shrink_to_fit();
DT.updateDFSNumbers();
}
}
#endif
|