1 //===-- RegAllocSolver.h - Heuristic PBQP Solver for reg alloc --*- C++ -*-===//
3 // The LLVM Compiler Infrastructure
5 // This file is distributed under the University of Illinois Open Source
6 // License. See LICENSE.TXT for details.
8 //===----------------------------------------------------------------------===//
10 // Heuristic PBQP solver for register allocation problems. This solver uses a
11 // graph reduction approach. Nodes of degree 0, 1 and 2 are eliminated with
12 // optimality-preserving rules (see ReductionRules.h). When no low-degree (<3)
13 // nodes are present, a heuristic derived from Brigg's graph coloring approach
16 //===----------------------------------------------------------------------===//
18 #ifndef LLVM_CODEGEN_PBQP_REGALLOCSOLVER_H
19 #define LLVM_CODEGEN_PBQP_REGALLOCSOLVER_H
21 #include "CostAllocator.h"
23 #include "ReductionRules.h"
25 #include "llvm/Support/ErrorHandling.h"
33 /// @brief Spill option index.
34 inline unsigned getSpillOptionIdx() { return 0; }
36 /// \brief Metadata to speed allocatability test.
38 /// Keeps track of the number of infinities in each row and column.
39 class MatrixMetadata {
41 MatrixMetadata(const MatrixMetadata&);
42 void operator=(const MatrixMetadata&);
44 MatrixMetadata(const PBQP::Matrix& M)
45 : WorstRow(0), WorstCol(0),
46 UnsafeRows(new bool[M.getRows() - 1]()),
47 UnsafeCols(new bool[M.getCols() - 1]()) {
49 unsigned* ColCounts = new unsigned[M.getCols() - 1]();
51 for (unsigned i = 1; i < M.getRows(); ++i) {
52 unsigned RowCount = 0;
53 for (unsigned j = 1; j < M.getCols(); ++j) {
54 if (M[i][j] == std::numeric_limits<PBQP::PBQPNum>::infinity()) {
57 UnsafeRows[i - 1] = true;
58 UnsafeCols[j - 1] = true;
61 WorstRow = std::max(WorstRow, RowCount);
63 unsigned WorstColCountForCurRow =
64 *std::max_element(ColCounts, ColCounts + M.getCols() - 1);
65 WorstCol = std::max(WorstCol, WorstColCountForCurRow);
74 unsigned getWorstRow() const { return WorstRow; }
75 unsigned getWorstCol() const { return WorstCol; }
76 const bool* getUnsafeRows() const { return UnsafeRows; }
77 const bool* getUnsafeCols() const { return UnsafeCols; }
80 unsigned WorstRow, WorstCol;
87 typedef std::vector<unsigned> OptionToRegMap;
89 typedef enum { Unprocessed,
91 ConservativelyAllocatable,
92 NotProvablyAllocatable } ReductionState;
94 NodeMetadata() : RS(Unprocessed), DeniedOpts(0), OptUnsafeEdges(nullptr){}
95 ~NodeMetadata() { delete[] OptUnsafeEdges; }
97 void setVReg(unsigned VReg) { this->VReg = VReg; }
98 unsigned getVReg() const { return VReg; }
100 void setOptionRegs(OptionToRegMap OptionRegs) {
101 this->OptionRegs = std::move(OptionRegs);
103 const OptionToRegMap& getOptionRegs() const { return OptionRegs; }
105 void setup(const Vector& Costs) {
106 NumOpts = Costs.getLength() - 1;
107 OptUnsafeEdges = new unsigned[NumOpts]();
110 ReductionState getReductionState() const { return RS; }
111 void setReductionState(ReductionState RS) { this->RS = RS; }
113 void handleAddEdge(const MatrixMetadata& MD, bool Transpose) {
114 DeniedOpts += Transpose ? MD.getWorstCol() : MD.getWorstRow();
115 const bool* UnsafeOpts =
116 Transpose ? MD.getUnsafeCols() : MD.getUnsafeRows();
117 for (unsigned i = 0; i < NumOpts; ++i)
118 OptUnsafeEdges[i] += UnsafeOpts[i];
121 void handleRemoveEdge(const MatrixMetadata& MD, bool Transpose) {
122 DeniedOpts -= Transpose ? MD.getWorstCol() : MD.getWorstRow();
123 const bool* UnsafeOpts =
124 Transpose ? MD.getUnsafeCols() : MD.getUnsafeRows();
125 for (unsigned i = 0; i < NumOpts; ++i)
126 OptUnsafeEdges[i] -= UnsafeOpts[i];
129 bool isConservativelyAllocatable() const {
130 return (DeniedOpts < NumOpts) ||
131 (std::find(OptUnsafeEdges, OptUnsafeEdges + NumOpts, 0) !=
132 OptUnsafeEdges + NumOpts);
139 unsigned* OptUnsafeEdges;
141 OptionToRegMap OptionRegs;
144 class RegAllocSolverImpl {
146 typedef PBQP::MDMatrix<MatrixMetadata> RAMatrix;
148 typedef PBQP::Vector RawVector;
149 typedef PBQP::Matrix RawMatrix;
150 typedef PBQP::Vector Vector;
151 typedef RAMatrix Matrix;
152 typedef PBQP::PoolCostAllocator<
153 Vector, PBQP::VectorComparator,
154 Matrix, PBQP::MatrixComparator> CostAllocator;
156 typedef PBQP::GraphBase::NodeId NodeId;
157 typedef PBQP::GraphBase::EdgeId EdgeId;
159 typedef RegAlloc::NodeMetadata NodeMetadata;
161 struct EdgeMetadata { };
163 class GraphMetadata {
165 GraphMetadata(MachineFunction &MF,
167 MachineBlockFrequencyInfo &MBFI)
168 : MF(MF), LIS(LIS), MBFI(MBFI) {}
172 MachineBlockFrequencyInfo &MBFI;
174 void setNodeIdForVReg(unsigned VReg, GraphBase::NodeId NId) {
175 VRegToNodeId[VReg] = NId;
178 GraphBase::NodeId getNodeIdForVReg(unsigned VReg) const {
179 auto VRegItr = VRegToNodeId.find(VReg);
180 if (VRegItr == VRegToNodeId.end())
181 return GraphBase::invalidNodeId();
182 return VRegItr->second;
185 void eraseNodeIdForVReg(unsigned VReg) {
186 VRegToNodeId.erase(VReg);
190 DenseMap<unsigned, NodeId> VRegToNodeId;
193 typedef PBQP::Graph<RegAllocSolverImpl> Graph;
195 RegAllocSolverImpl(Graph &G) : G(G) {}
201 S = backpropagate(G, reduce());
206 void handleAddNode(NodeId NId) {
207 G.getNodeMetadata(NId).setup(G.getNodeCosts(NId));
209 void handleRemoveNode(NodeId NId) {}
210 void handleSetNodeCosts(NodeId NId, const Vector& newCosts) {}
212 void handleAddEdge(EdgeId EId) {
213 handleReconnectEdge(EId, G.getEdgeNode1Id(EId));
214 handleReconnectEdge(EId, G.getEdgeNode2Id(EId));
217 void handleRemoveEdge(EdgeId EId) {
218 handleDisconnectEdge(EId, G.getEdgeNode1Id(EId));
219 handleDisconnectEdge(EId, G.getEdgeNode2Id(EId));
222 void handleDisconnectEdge(EdgeId EId, NodeId NId) {
223 NodeMetadata& NMd = G.getNodeMetadata(NId);
224 const MatrixMetadata& MMd = G.getEdgeCosts(EId).getMetadata();
225 NMd.handleRemoveEdge(MMd, NId == G.getEdgeNode2Id(EId));
226 if (G.getNodeDegree(NId) == 3) {
227 // This node is becoming optimally reducible.
228 moveToOptimallyReducibleNodes(NId);
229 } else if (NMd.getReductionState() ==
230 NodeMetadata::NotProvablyAllocatable &&
231 NMd.isConservativelyAllocatable()) {
232 // This node just became conservatively allocatable.
233 moveToConservativelyAllocatableNodes(NId);
237 void handleReconnectEdge(EdgeId EId, NodeId NId) {
238 NodeMetadata& NMd = G.getNodeMetadata(NId);
239 const MatrixMetadata& MMd = G.getEdgeCosts(EId).getMetadata();
240 NMd.handleAddEdge(MMd, NId == G.getEdgeNode2Id(EId));
243 void handleSetEdgeCosts(EdgeId EId, const Matrix& NewCosts) {
244 handleRemoveEdge(EId);
246 NodeId N1Id = G.getEdgeNode1Id(EId);
247 NodeId N2Id = G.getEdgeNode2Id(EId);
248 NodeMetadata& N1Md = G.getNodeMetadata(N1Id);
249 NodeMetadata& N2Md = G.getNodeMetadata(N2Id);
250 const MatrixMetadata& MMd = NewCosts.getMetadata();
251 N1Md.handleAddEdge(MMd, N1Id != G.getEdgeNode1Id(EId));
252 N2Md.handleAddEdge(MMd, N2Id != G.getEdgeNode1Id(EId));
257 void removeFromCurrentSet(NodeId NId) {
258 switch (G.getNodeMetadata(NId).getReductionState()) {
259 case NodeMetadata::Unprocessed: break;
260 case NodeMetadata::OptimallyReducible:
261 assert(OptimallyReducibleNodes.find(NId) !=
262 OptimallyReducibleNodes.end() &&
263 "Node not in optimally reducible set.");
264 OptimallyReducibleNodes.erase(NId);
266 case NodeMetadata::ConservativelyAllocatable:
267 assert(ConservativelyAllocatableNodes.find(NId) !=
268 ConservativelyAllocatableNodes.end() &&
269 "Node not in conservatively allocatable set.");
270 ConservativelyAllocatableNodes.erase(NId);
272 case NodeMetadata::NotProvablyAllocatable:
273 assert(NotProvablyAllocatableNodes.find(NId) !=
274 NotProvablyAllocatableNodes.end() &&
275 "Node not in not-provably-allocatable set.");
276 NotProvablyAllocatableNodes.erase(NId);
281 void moveToOptimallyReducibleNodes(NodeId NId) {
282 removeFromCurrentSet(NId);
283 OptimallyReducibleNodes.insert(NId);
284 G.getNodeMetadata(NId).setReductionState(
285 NodeMetadata::OptimallyReducible);
288 void moveToConservativelyAllocatableNodes(NodeId NId) {
289 removeFromCurrentSet(NId);
290 ConservativelyAllocatableNodes.insert(NId);
291 G.getNodeMetadata(NId).setReductionState(
292 NodeMetadata::ConservativelyAllocatable);
295 void moveToNotProvablyAllocatableNodes(NodeId NId) {
296 removeFromCurrentSet(NId);
297 NotProvablyAllocatableNodes.insert(NId);
298 G.getNodeMetadata(NId).setReductionState(
299 NodeMetadata::NotProvablyAllocatable);
304 for (auto NId : G.nodeIds()) {
305 if (G.getNodeDegree(NId) < 3)
306 moveToOptimallyReducibleNodes(NId);
307 else if (G.getNodeMetadata(NId).isConservativelyAllocatable())
308 moveToConservativelyAllocatableNodes(NId);
310 moveToNotProvablyAllocatableNodes(NId);
314 // Compute a reduction order for the graph by iteratively applying PBQP
315 // reduction rules. Locally optimal rules are applied whenever possible (R0,
316 // R1, R2). If no locally-optimal rules apply then any conservatively
317 // allocatable node is reduced. Finally, if no conservatively allocatable
318 // node exists then the node with the lowest spill-cost:degree ratio is
320 std::vector<GraphBase::NodeId> reduce() {
321 assert(!G.empty() && "Cannot reduce empty graph.");
323 typedef GraphBase::NodeId NodeId;
324 std::vector<NodeId> NodeStack;
326 // Consume worklists.
328 if (!OptimallyReducibleNodes.empty()) {
329 NodeSet::iterator NItr = OptimallyReducibleNodes.begin();
331 OptimallyReducibleNodes.erase(NItr);
332 NodeStack.push_back(NId);
333 switch (G.getNodeDegree(NId)) {
342 default: llvm_unreachable("Not an optimally reducible node.");
344 } else if (!ConservativelyAllocatableNodes.empty()) {
345 // Conservatively allocatable nodes will never spill. For now just
346 // take the first node in the set and push it on the stack. When we
347 // start optimizing more heavily for register preferencing, it may
348 // would be better to push nodes with lower 'expected' or worst-case
349 // register costs first (since early nodes are the most
351 NodeSet::iterator NItr = ConservativelyAllocatableNodes.begin();
353 ConservativelyAllocatableNodes.erase(NItr);
354 NodeStack.push_back(NId);
355 G.disconnectAllNeighborsFromNode(NId);
357 } else if (!NotProvablyAllocatableNodes.empty()) {
358 NodeSet::iterator NItr =
359 std::min_element(NotProvablyAllocatableNodes.begin(),
360 NotProvablyAllocatableNodes.end(),
361 SpillCostComparator(G));
363 NotProvablyAllocatableNodes.erase(NItr);
364 NodeStack.push_back(NId);
365 G.disconnectAllNeighborsFromNode(NId);
373 class SpillCostComparator {
375 SpillCostComparator(const Graph& G) : G(G) {}
376 bool operator()(NodeId N1Id, NodeId N2Id) {
377 PBQPNum N1SC = G.getNodeCosts(N1Id)[0] / G.getNodeDegree(N1Id);
378 PBQPNum N2SC = G.getNodeCosts(N2Id)[0] / G.getNodeDegree(N2Id);
386 typedef std::set<NodeId> NodeSet;
387 NodeSet OptimallyReducibleNodes;
388 NodeSet ConservativelyAllocatableNodes;
389 NodeSet NotProvablyAllocatableNodes;
392 class PBQPRAGraph : public PBQP::Graph<RegAllocSolverImpl> {
394 typedef PBQP::Graph<RegAllocSolverImpl> BaseT;
396 PBQPRAGraph(GraphMetadata Metadata) : BaseT(Metadata) {}
399 inline Solution solve(PBQPRAGraph& G) {
402 RegAllocSolverImpl RegAllocSolver(G);
403 return RegAllocSolver.solve();
405 } // namespace RegAlloc
409 #endif // LLVM_CODEGEN_PBQP_REGALLOCSOLVER_H