1 //===---- ScheduleDAG.cpp - Implement the ScheduleDAG class ---------------===//
2 //
3 // The LLVM Compiler Infrastructure
4 //
5 // This file is distributed under the University of Illinois Open Source
6 // License. See LICENSE.TXT for details.
7 //
8 //===----------------------------------------------------------------------===//
9 //
10 // This implements the ScheduleDAG class, which is a base class used by
11 // scheduling implementation classes.
12 //
13 //===----------------------------------------------------------------------===//
14
15 #include "llvm/CodeGen/ScheduleDAG.h"
16 #include "llvm/CodeGen/ScheduleHazardRecognizer.h"
17 #include "llvm/CodeGen/SelectionDAGNodes.h"
18 #include "llvm/Support/CommandLine.h"
19 #include "llvm/Support/Debug.h"
20 #include "llvm/Support/raw_ostream.h"
21 #include "llvm/Target/TargetInstrInfo.h"
22 #include "llvm/Target/TargetMachine.h"
23 #include "llvm/Target/TargetRegisterInfo.h"
24 #include "llvm/Target/TargetSubtargetInfo.h"
25 #include <climits>
26 using namespace llvm;
27
28 #define DEBUG_TYPE "pre-RA-sched"
29
30 #ifndef NDEBUG
31 static cl::opt<bool> StressSchedOpt(
32 "stress-sched", cl::Hidden, cl::init(false),
33 cl::desc("Stress test instruction scheduling"));
34 #endif
35
anchor()36 void SchedulingPriorityQueue::anchor() { }
37
ScheduleDAG(MachineFunction & mf)38 ScheduleDAG::ScheduleDAG(MachineFunction &mf)
39 : TM(mf.getTarget()), TII(mf.getSubtarget().getInstrInfo()),
40 TRI(mf.getSubtarget().getRegisterInfo()), MF(mf),
41 MRI(mf.getRegInfo()), EntrySU(), ExitSU() {
42 #ifndef NDEBUG
43 StressSched = StressSchedOpt;
44 #endif
45 }
46
~ScheduleDAG()47 ScheduleDAG::~ScheduleDAG() {}
48
49 /// Clear the DAG state (e.g. between scheduling regions).
clearDAG()50 void ScheduleDAG::clearDAG() {
51 SUnits.clear();
52 EntrySU = SUnit();
53 ExitSU = SUnit();
54 }
55
56 /// getInstrDesc helper to handle SDNodes.
getNodeDesc(const SDNode * Node) const57 const MCInstrDesc *ScheduleDAG::getNodeDesc(const SDNode *Node) const {
58 if (!Node || !Node->isMachineOpcode()) return nullptr;
59 return &TII->get(Node->getMachineOpcode());
60 }
61
62 /// addPred - This adds the specified edge as a pred of the current node if
63 /// not already. It also adds the current node as a successor of the
64 /// specified node.
addPred(const SDep & D,bool Required)65 bool SUnit::addPred(const SDep &D, bool Required) {
66 // If this node already has this dependence, don't add a redundant one.
67 for (SmallVectorImpl<SDep>::iterator I = Preds.begin(), E = Preds.end();
68 I != E; ++I) {
69 // Zero-latency weak edges may be added purely for heuristic ordering. Don't
70 // add them if another kind of edge already exists.
71 if (!Required && I->getSUnit() == D.getSUnit())
72 return false;
73 if (I->overlaps(D)) {
74 // Extend the latency if needed. Equivalent to removePred(I) + addPred(D).
75 if (I->getLatency() < D.getLatency()) {
76 SUnit *PredSU = I->getSUnit();
77 // Find the corresponding successor in N.
78 SDep ForwardD = *I;
79 ForwardD.setSUnit(this);
80 for (SmallVectorImpl<SDep>::iterator II = PredSU->Succs.begin(),
81 EE = PredSU->Succs.end(); II != EE; ++II) {
82 if (*II == ForwardD) {
83 II->setLatency(D.getLatency());
84 break;
85 }
86 }
87 I->setLatency(D.getLatency());
88 }
89 return false;
90 }
91 }
92 // Now add a corresponding succ to N.
93 SDep P = D;
94 P.setSUnit(this);
95 SUnit *N = D.getSUnit();
96 // Update the bookkeeping.
97 if (D.getKind() == SDep::Data) {
98 assert(NumPreds < UINT_MAX && "NumPreds will overflow!");
99 assert(N->NumSuccs < UINT_MAX && "NumSuccs will overflow!");
100 ++NumPreds;
101 ++N->NumSuccs;
102 }
103 if (!N->isScheduled) {
104 if (D.isWeak()) {
105 ++WeakPredsLeft;
106 }
107 else {
108 assert(NumPredsLeft < UINT_MAX && "NumPredsLeft will overflow!");
109 ++NumPredsLeft;
110 }
111 }
112 if (!isScheduled) {
113 if (D.isWeak()) {
114 ++N->WeakSuccsLeft;
115 }
116 else {
117 assert(N->NumSuccsLeft < UINT_MAX && "NumSuccsLeft will overflow!");
118 ++N->NumSuccsLeft;
119 }
120 }
121 Preds.push_back(D);
122 N->Succs.push_back(P);
123 if (P.getLatency() != 0) {
124 this->setDepthDirty();
125 N->setHeightDirty();
126 }
127 return true;
128 }
129
130 /// removePred - This removes the specified edge as a pred of the current
131 /// node if it exists. It also removes the current node as a successor of
132 /// the specified node.
removePred(const SDep & D)133 void SUnit::removePred(const SDep &D) {
134 // Find the matching predecessor.
135 for (SmallVectorImpl<SDep>::iterator I = Preds.begin(), E = Preds.end();
136 I != E; ++I)
137 if (*I == D) {
138 // Find the corresponding successor in N.
139 SDep P = D;
140 P.setSUnit(this);
141 SUnit *N = D.getSUnit();
142 SmallVectorImpl<SDep>::iterator Succ = std::find(N->Succs.begin(),
143 N->Succs.end(), P);
144 assert(Succ != N->Succs.end() && "Mismatching preds / succs lists!");
145 N->Succs.erase(Succ);
146 Preds.erase(I);
147 // Update the bookkeeping.
148 if (P.getKind() == SDep::Data) {
149 assert(NumPreds > 0 && "NumPreds will underflow!");
150 assert(N->NumSuccs > 0 && "NumSuccs will underflow!");
151 --NumPreds;
152 --N->NumSuccs;
153 }
154 if (!N->isScheduled) {
155 if (D.isWeak())
156 --WeakPredsLeft;
157 else {
158 assert(NumPredsLeft > 0 && "NumPredsLeft will underflow!");
159 --NumPredsLeft;
160 }
161 }
162 if (!isScheduled) {
163 if (D.isWeak())
164 --N->WeakSuccsLeft;
165 else {
166 assert(N->NumSuccsLeft > 0 && "NumSuccsLeft will underflow!");
167 --N->NumSuccsLeft;
168 }
169 }
170 if (P.getLatency() != 0) {
171 this->setDepthDirty();
172 N->setHeightDirty();
173 }
174 return;
175 }
176 }
177
setDepthDirty()178 void SUnit::setDepthDirty() {
179 if (!isDepthCurrent) return;
180 SmallVector<SUnit*, 8> WorkList;
181 WorkList.push_back(this);
182 do {
183 SUnit *SU = WorkList.pop_back_val();
184 SU->isDepthCurrent = false;
185 for (SUnit::const_succ_iterator I = SU->Succs.begin(),
186 E = SU->Succs.end(); I != E; ++I) {
187 SUnit *SuccSU = I->getSUnit();
188 if (SuccSU->isDepthCurrent)
189 WorkList.push_back(SuccSU);
190 }
191 } while (!WorkList.empty());
192 }
193
setHeightDirty()194 void SUnit::setHeightDirty() {
195 if (!isHeightCurrent) return;
196 SmallVector<SUnit*, 8> WorkList;
197 WorkList.push_back(this);
198 do {
199 SUnit *SU = WorkList.pop_back_val();
200 SU->isHeightCurrent = false;
201 for (SUnit::const_pred_iterator I = SU->Preds.begin(),
202 E = SU->Preds.end(); I != E; ++I) {
203 SUnit *PredSU = I->getSUnit();
204 if (PredSU->isHeightCurrent)
205 WorkList.push_back(PredSU);
206 }
207 } while (!WorkList.empty());
208 }
209
210 /// setDepthToAtLeast - Update this node's successors to reflect the
211 /// fact that this node's depth just increased.
212 ///
setDepthToAtLeast(unsigned NewDepth)213 void SUnit::setDepthToAtLeast(unsigned NewDepth) {
214 if (NewDepth <= getDepth())
215 return;
216 setDepthDirty();
217 Depth = NewDepth;
218 isDepthCurrent = true;
219 }
220
221 /// setHeightToAtLeast - Update this node's predecessors to reflect the
222 /// fact that this node's height just increased.
223 ///
setHeightToAtLeast(unsigned NewHeight)224 void SUnit::setHeightToAtLeast(unsigned NewHeight) {
225 if (NewHeight <= getHeight())
226 return;
227 setHeightDirty();
228 Height = NewHeight;
229 isHeightCurrent = true;
230 }
231
232 /// ComputeDepth - Calculate the maximal path from the node to the exit.
233 ///
ComputeDepth()234 void SUnit::ComputeDepth() {
235 SmallVector<SUnit*, 8> WorkList;
236 WorkList.push_back(this);
237 do {
238 SUnit *Cur = WorkList.back();
239
240 bool Done = true;
241 unsigned MaxPredDepth = 0;
242 for (SUnit::const_pred_iterator I = Cur->Preds.begin(),
243 E = Cur->Preds.end(); I != E; ++I) {
244 SUnit *PredSU = I->getSUnit();
245 if (PredSU->isDepthCurrent)
246 MaxPredDepth = std::max(MaxPredDepth,
247 PredSU->Depth + I->getLatency());
248 else {
249 Done = false;
250 WorkList.push_back(PredSU);
251 }
252 }
253
254 if (Done) {
255 WorkList.pop_back();
256 if (MaxPredDepth != Cur->Depth) {
257 Cur->setDepthDirty();
258 Cur->Depth = MaxPredDepth;
259 }
260 Cur->isDepthCurrent = true;
261 }
262 } while (!WorkList.empty());
263 }
264
265 /// ComputeHeight - Calculate the maximal path from the node to the entry.
266 ///
ComputeHeight()267 void SUnit::ComputeHeight() {
268 SmallVector<SUnit*, 8> WorkList;
269 WorkList.push_back(this);
270 do {
271 SUnit *Cur = WorkList.back();
272
273 bool Done = true;
274 unsigned MaxSuccHeight = 0;
275 for (SUnit::const_succ_iterator I = Cur->Succs.begin(),
276 E = Cur->Succs.end(); I != E; ++I) {
277 SUnit *SuccSU = I->getSUnit();
278 if (SuccSU->isHeightCurrent)
279 MaxSuccHeight = std::max(MaxSuccHeight,
280 SuccSU->Height + I->getLatency());
281 else {
282 Done = false;
283 WorkList.push_back(SuccSU);
284 }
285 }
286
287 if (Done) {
288 WorkList.pop_back();
289 if (MaxSuccHeight != Cur->Height) {
290 Cur->setHeightDirty();
291 Cur->Height = MaxSuccHeight;
292 }
293 Cur->isHeightCurrent = true;
294 }
295 } while (!WorkList.empty());
296 }
297
biasCriticalPath()298 void SUnit::biasCriticalPath() {
299 if (NumPreds < 2)
300 return;
301
302 SUnit::pred_iterator BestI = Preds.begin();
303 unsigned MaxDepth = BestI->getSUnit()->getDepth();
304 for (SUnit::pred_iterator I = std::next(BestI), E = Preds.end(); I != E;
305 ++I) {
306 if (I->getKind() == SDep::Data && I->getSUnit()->getDepth() > MaxDepth)
307 BestI = I;
308 }
309 if (BestI != Preds.begin())
310 std::swap(*Preds.begin(), *BestI);
311 }
312
313 #if !defined(NDEBUG) || defined(LLVM_ENABLE_DUMP)
314 /// SUnit - Scheduling unit. It's an wrapper around either a single SDNode or
315 /// a group of nodes flagged together.
dump(const ScheduleDAG * G) const316 void SUnit::dump(const ScheduleDAG *G) const {
317 dbgs() << "SU(" << NodeNum << "): ";
318 G->dumpNode(this);
319 }
320
dumpAll(const ScheduleDAG * G) const321 void SUnit::dumpAll(const ScheduleDAG *G) const {
322 dump(G);
323
324 dbgs() << " # preds left : " << NumPredsLeft << "\n";
325 dbgs() << " # succs left : " << NumSuccsLeft << "\n";
326 if (WeakPredsLeft)
327 dbgs() << " # weak preds left : " << WeakPredsLeft << "\n";
328 if (WeakSuccsLeft)
329 dbgs() << " # weak succs left : " << WeakSuccsLeft << "\n";
330 dbgs() << " # rdefs left : " << NumRegDefsLeft << "\n";
331 dbgs() << " Latency : " << Latency << "\n";
332 dbgs() << " Depth : " << getDepth() << "\n";
333 dbgs() << " Height : " << getHeight() << "\n";
334
335 if (Preds.size() != 0) {
336 dbgs() << " Predecessors:\n";
337 for (SUnit::const_succ_iterator I = Preds.begin(), E = Preds.end();
338 I != E; ++I) {
339 dbgs() << " ";
340 switch (I->getKind()) {
341 case SDep::Data: dbgs() << "val "; break;
342 case SDep::Anti: dbgs() << "anti"; break;
343 case SDep::Output: dbgs() << "out "; break;
344 case SDep::Order: dbgs() << "ch "; break;
345 }
346 dbgs() << "SU(" << I->getSUnit()->NodeNum << ")";
347 if (I->isArtificial())
348 dbgs() << " *";
349 dbgs() << ": Latency=" << I->getLatency();
350 if (I->isAssignedRegDep())
351 dbgs() << " Reg=" << PrintReg(I->getReg(), G->TRI);
352 dbgs() << "\n";
353 }
354 }
355 if (Succs.size() != 0) {
356 dbgs() << " Successors:\n";
357 for (SUnit::const_succ_iterator I = Succs.begin(), E = Succs.end();
358 I != E; ++I) {
359 dbgs() << " ";
360 switch (I->getKind()) {
361 case SDep::Data: dbgs() << "val "; break;
362 case SDep::Anti: dbgs() << "anti"; break;
363 case SDep::Output: dbgs() << "out "; break;
364 case SDep::Order: dbgs() << "ch "; break;
365 }
366 dbgs() << "SU(" << I->getSUnit()->NodeNum << ")";
367 if (I->isArtificial())
368 dbgs() << " *";
369 dbgs() << ": Latency=" << I->getLatency();
370 if (I->isAssignedRegDep())
371 dbgs() << " Reg=" << PrintReg(I->getReg(), G->TRI);
372 dbgs() << "\n";
373 }
374 }
375 }
376 #endif
377
378 #ifndef NDEBUG
379 /// VerifyScheduledDAG - Verify that all SUnits were scheduled and that
380 /// their state is consistent. Return the number of scheduled nodes.
381 ///
VerifyScheduledDAG(bool isBottomUp)382 unsigned ScheduleDAG::VerifyScheduledDAG(bool isBottomUp) {
383 bool AnyNotSched = false;
384 unsigned DeadNodes = 0;
385 for (unsigned i = 0, e = SUnits.size(); i != e; ++i) {
386 if (!SUnits[i].isScheduled) {
387 if (SUnits[i].NumPreds == 0 && SUnits[i].NumSuccs == 0) {
388 ++DeadNodes;
389 continue;
390 }
391 if (!AnyNotSched)
392 dbgs() << "*** Scheduling failed! ***\n";
393 SUnits[i].dump(this);
394 dbgs() << "has not been scheduled!\n";
395 AnyNotSched = true;
396 }
397 if (SUnits[i].isScheduled &&
398 (isBottomUp ? SUnits[i].getHeight() : SUnits[i].getDepth()) >
399 unsigned(INT_MAX)) {
400 if (!AnyNotSched)
401 dbgs() << "*** Scheduling failed! ***\n";
402 SUnits[i].dump(this);
403 dbgs() << "has an unexpected "
404 << (isBottomUp ? "Height" : "Depth") << " value!\n";
405 AnyNotSched = true;
406 }
407 if (isBottomUp) {
408 if (SUnits[i].NumSuccsLeft != 0) {
409 if (!AnyNotSched)
410 dbgs() << "*** Scheduling failed! ***\n";
411 SUnits[i].dump(this);
412 dbgs() << "has successors left!\n";
413 AnyNotSched = true;
414 }
415 } else {
416 if (SUnits[i].NumPredsLeft != 0) {
417 if (!AnyNotSched)
418 dbgs() << "*** Scheduling failed! ***\n";
419 SUnits[i].dump(this);
420 dbgs() << "has predecessors left!\n";
421 AnyNotSched = true;
422 }
423 }
424 }
425 assert(!AnyNotSched);
426 return SUnits.size() - DeadNodes;
427 }
428 #endif
429
430 /// InitDAGTopologicalSorting - create the initial topological
431 /// ordering from the DAG to be scheduled.
432 ///
433 /// The idea of the algorithm is taken from
434 /// "Online algorithms for managing the topological order of
435 /// a directed acyclic graph" by David J. Pearce and Paul H.J. Kelly
436 /// This is the MNR algorithm, which was first introduced by
437 /// A. Marchetti-Spaccamela, U. Nanni and H. Rohnert in
438 /// "Maintaining a topological order under edge insertions".
439 ///
440 /// Short description of the algorithm:
441 ///
442 /// Topological ordering, ord, of a DAG maps each node to a topological
443 /// index so that for all edges X->Y it is the case that ord(X) < ord(Y).
444 ///
445 /// This means that if there is a path from the node X to the node Z,
446 /// then ord(X) < ord(Z).
447 ///
448 /// This property can be used to check for reachability of nodes:
449 /// if Z is reachable from X, then an insertion of the edge Z->X would
450 /// create a cycle.
451 ///
452 /// The algorithm first computes a topological ordering for the DAG by
453 /// initializing the Index2Node and Node2Index arrays and then tries to keep
454 /// the ordering up-to-date after edge insertions by reordering the DAG.
455 ///
456 /// On insertion of the edge X->Y, the algorithm first marks by calling DFS
457 /// the nodes reachable from Y, and then shifts them using Shift to lie
458 /// immediately after X in Index2Node.
InitDAGTopologicalSorting()459 void ScheduleDAGTopologicalSort::InitDAGTopologicalSorting() {
460 unsigned DAGSize = SUnits.size();
461 std::vector<SUnit*> WorkList;
462 WorkList.reserve(DAGSize);
463
464 Index2Node.resize(DAGSize);
465 Node2Index.resize(DAGSize);
466
467 // Initialize the data structures.
468 if (ExitSU)
469 WorkList.push_back(ExitSU);
470 for (unsigned i = 0, e = DAGSize; i != e; ++i) {
471 SUnit *SU = &SUnits[i];
472 int NodeNum = SU->NodeNum;
473 unsigned Degree = SU->Succs.size();
474 // Temporarily use the Node2Index array as scratch space for degree counts.
475 Node2Index[NodeNum] = Degree;
476
477 // Is it a node without dependencies?
478 if (Degree == 0) {
479 assert(SU->Succs.empty() && "SUnit should have no successors");
480 // Collect leaf nodes.
481 WorkList.push_back(SU);
482 }
483 }
484
485 int Id = DAGSize;
486 while (!WorkList.empty()) {
487 SUnit *SU = WorkList.back();
488 WorkList.pop_back();
489 if (SU->NodeNum < DAGSize)
490 Allocate(SU->NodeNum, --Id);
491 for (SUnit::const_pred_iterator I = SU->Preds.begin(), E = SU->Preds.end();
492 I != E; ++I) {
493 SUnit *SU = I->getSUnit();
494 if (SU->NodeNum < DAGSize && !--Node2Index[SU->NodeNum])
495 // If all dependencies of the node are processed already,
496 // then the node can be computed now.
497 WorkList.push_back(SU);
498 }
499 }
500
501 Visited.resize(DAGSize);
502
503 #ifndef NDEBUG
504 // Check correctness of the ordering
505 for (unsigned i = 0, e = DAGSize; i != e; ++i) {
506 SUnit *SU = &SUnits[i];
507 for (SUnit::const_pred_iterator I = SU->Preds.begin(), E = SU->Preds.end();
508 I != E; ++I) {
509 assert(Node2Index[SU->NodeNum] > Node2Index[I->getSUnit()->NodeNum] &&
510 "Wrong topological sorting");
511 }
512 }
513 #endif
514 }
515
516 /// AddPred - Updates the topological ordering to accommodate an edge
517 /// to be added from SUnit X to SUnit Y.
AddPred(SUnit * Y,SUnit * X)518 void ScheduleDAGTopologicalSort::AddPred(SUnit *Y, SUnit *X) {
519 int UpperBound, LowerBound;
520 LowerBound = Node2Index[Y->NodeNum];
521 UpperBound = Node2Index[X->NodeNum];
522 bool HasLoop = false;
523 // Is Ord(X) < Ord(Y) ?
524 if (LowerBound < UpperBound) {
525 // Update the topological order.
526 Visited.reset();
527 DFS(Y, UpperBound, HasLoop);
528 assert(!HasLoop && "Inserted edge creates a loop!");
529 // Recompute topological indexes.
530 Shift(Visited, LowerBound, UpperBound);
531 }
532 }
533
534 /// RemovePred - Updates the topological ordering to accommodate an
535 /// an edge to be removed from the specified node N from the predecessors
536 /// of the current node M.
RemovePred(SUnit * M,SUnit * N)537 void ScheduleDAGTopologicalSort::RemovePred(SUnit *M, SUnit *N) {
538 // InitDAGTopologicalSorting();
539 }
540
541 /// DFS - Make a DFS traversal to mark all nodes reachable from SU and mark
542 /// all nodes affected by the edge insertion. These nodes will later get new
543 /// topological indexes by means of the Shift method.
DFS(const SUnit * SU,int UpperBound,bool & HasLoop)544 void ScheduleDAGTopologicalSort::DFS(const SUnit *SU, int UpperBound,
545 bool &HasLoop) {
546 std::vector<const SUnit*> WorkList;
547 WorkList.reserve(SUnits.size());
548
549 WorkList.push_back(SU);
550 do {
551 SU = WorkList.back();
552 WorkList.pop_back();
553 Visited.set(SU->NodeNum);
554 for (int I = SU->Succs.size()-1; I >= 0; --I) {
555 unsigned s = SU->Succs[I].getSUnit()->NodeNum;
556 // Edges to non-SUnits are allowed but ignored (e.g. ExitSU).
557 if (s >= Node2Index.size())
558 continue;
559 if (Node2Index[s] == UpperBound) {
560 HasLoop = true;
561 return;
562 }
563 // Visit successors if not already and in affected region.
564 if (!Visited.test(s) && Node2Index[s] < UpperBound) {
565 WorkList.push_back(SU->Succs[I].getSUnit());
566 }
567 }
568 } while (!WorkList.empty());
569 }
570
571 /// Shift - Renumber the nodes so that the topological ordering is
572 /// preserved.
Shift(BitVector & Visited,int LowerBound,int UpperBound)573 void ScheduleDAGTopologicalSort::Shift(BitVector& Visited, int LowerBound,
574 int UpperBound) {
575 std::vector<int> L;
576 int shift = 0;
577 int i;
578
579 for (i = LowerBound; i <= UpperBound; ++i) {
580 // w is node at topological index i.
581 int w = Index2Node[i];
582 if (Visited.test(w)) {
583 // Unmark.
584 Visited.reset(w);
585 L.push_back(w);
586 shift = shift + 1;
587 } else {
588 Allocate(w, i - shift);
589 }
590 }
591
592 for (unsigned j = 0; j < L.size(); ++j) {
593 Allocate(L[j], i - shift);
594 i = i + 1;
595 }
596 }
597
598
599 /// WillCreateCycle - Returns true if adding an edge to TargetSU from SU will
600 /// create a cycle. If so, it is not safe to call AddPred(TargetSU, SU).
WillCreateCycle(SUnit * TargetSU,SUnit * SU)601 bool ScheduleDAGTopologicalSort::WillCreateCycle(SUnit *TargetSU, SUnit *SU) {
602 // Is SU reachable from TargetSU via successor edges?
603 if (IsReachable(SU, TargetSU))
604 return true;
605 for (SUnit::pred_iterator
606 I = TargetSU->Preds.begin(), E = TargetSU->Preds.end(); I != E; ++I)
607 if (I->isAssignedRegDep() &&
608 IsReachable(SU, I->getSUnit()))
609 return true;
610 return false;
611 }
612
613 /// IsReachable - Checks if SU is reachable from TargetSU.
IsReachable(const SUnit * SU,const SUnit * TargetSU)614 bool ScheduleDAGTopologicalSort::IsReachable(const SUnit *SU,
615 const SUnit *TargetSU) {
616 // If insertion of the edge SU->TargetSU would create a cycle
617 // then there is a path from TargetSU to SU.
618 int UpperBound, LowerBound;
619 LowerBound = Node2Index[TargetSU->NodeNum];
620 UpperBound = Node2Index[SU->NodeNum];
621 bool HasLoop = false;
622 // Is Ord(TargetSU) < Ord(SU) ?
623 if (LowerBound < UpperBound) {
624 Visited.reset();
625 // There may be a path from TargetSU to SU. Check for it.
626 DFS(TargetSU, UpperBound, HasLoop);
627 }
628 return HasLoop;
629 }
630
631 /// Allocate - assign the topological index to the node n.
Allocate(int n,int index)632 void ScheduleDAGTopologicalSort::Allocate(int n, int index) {
633 Node2Index[n] = index;
634 Index2Node[index] = n;
635 }
636
637 ScheduleDAGTopologicalSort::
ScheduleDAGTopologicalSort(std::vector<SUnit> & sunits,SUnit * exitsu)638 ScheduleDAGTopologicalSort(std::vector<SUnit> &sunits, SUnit *exitsu)
639 : SUnits(sunits), ExitSU(exitsu) {}
640
~ScheduleHazardRecognizer()641 ScheduleHazardRecognizer::~ScheduleHazardRecognizer() {}
642