1 //===--- DAGDeltaAlgorithm.cpp - A DAG Minimization Algorithm --*- C++ -*--===//
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 // The algorithm we use attempts to exploit the dependency information by
10 // minimizing top-down. We start by constructing an initial root set R, and
11 // then iteratively:
12 //
13 // 1. Minimize the set R using the test predicate:
14 // P'(S) = P(S union pred*(S))
15 //
16 // 2. Extend R to R' = R union pred(R).
17 //
18 // until a fixed point is reached.
19 //
20 // The idea is that we want to quickly prune entire portions of the graph, so we
21 // try to find high-level nodes that can be eliminated with all of their
22 // dependents.
23 //
24 // FIXME: The current algorithm doesn't actually provide a strong guarantee
25 // about the minimality of the result. The problem is that after adding nodes to
26 // the required set, we no longer consider them for elimination. For strictly
27 // well formed predicates, this doesn't happen, but it commonly occurs in
28 // practice when there are unmodelled dependencies. I believe we can resolve
29 // this by allowing the required set to be minimized as well, but need more test
30 // cases first.
31 //
32 //===----------------------------------------------------------------------===//
33
34 #include "llvm/ADT/DAGDeltaAlgorithm.h"
35 #include "llvm/ADT/DeltaAlgorithm.h"
36 #include "llvm/Support/Debug.h"
37 #include "llvm/Support/Format.h"
38 #include "llvm/Support/raw_ostream.h"
39 #include <algorithm>
40 #include <cassert>
41 #include <iterator>
42 #include <map>
43 using namespace llvm;
44
45 #define DEBUG_TYPE "dag-delta"
46
47 namespace {
48
49 class DAGDeltaAlgorithmImpl {
50 friend class DeltaActiveSetHelper;
51
52 public:
53 typedef DAGDeltaAlgorithm::change_ty change_ty;
54 typedef DAGDeltaAlgorithm::changeset_ty changeset_ty;
55 typedef DAGDeltaAlgorithm::changesetlist_ty changesetlist_ty;
56 typedef DAGDeltaAlgorithm::edge_ty edge_ty;
57
58 private:
59 typedef std::vector<change_ty>::iterator pred_iterator_ty;
60 typedef std::vector<change_ty>::iterator succ_iterator_ty;
61 typedef std::set<change_ty>::iterator pred_closure_iterator_ty;
62 typedef std::set<change_ty>::iterator succ_closure_iterator_ty;
63
64 DAGDeltaAlgorithm &DDA;
65
66 const changeset_ty &Changes;
67 const std::vector<edge_ty> &Dependencies;
68
69 std::vector<change_ty> Roots;
70
71 /// Cache of failed test results. Successful test results are never cached
72 /// since we always reduce following a success. We maintain an independent
73 /// cache from that used by the individual delta passes because we may get
74 /// hits across multiple individual delta invocations.
75 mutable std::set<changeset_ty> FailedTestsCache;
76
77 // FIXME: Gross.
78 std::map<change_ty, std::vector<change_ty> > Predecessors;
79 std::map<change_ty, std::vector<change_ty> > Successors;
80
81 std::map<change_ty, std::set<change_ty> > PredClosure;
82 std::map<change_ty, std::set<change_ty> > SuccClosure;
83
84 private:
pred_begin(change_ty Node)85 pred_iterator_ty pred_begin(change_ty Node) {
86 assert(Predecessors.count(Node) && "Invalid node!");
87 return Predecessors[Node].begin();
88 }
pred_end(change_ty Node)89 pred_iterator_ty pred_end(change_ty Node) {
90 assert(Predecessors.count(Node) && "Invalid node!");
91 return Predecessors[Node].end();
92 }
93
pred_closure_begin(change_ty Node)94 pred_closure_iterator_ty pred_closure_begin(change_ty Node) {
95 assert(PredClosure.count(Node) && "Invalid node!");
96 return PredClosure[Node].begin();
97 }
pred_closure_end(change_ty Node)98 pred_closure_iterator_ty pred_closure_end(change_ty Node) {
99 assert(PredClosure.count(Node) && "Invalid node!");
100 return PredClosure[Node].end();
101 }
102
succ_begin(change_ty Node)103 succ_iterator_ty succ_begin(change_ty Node) {
104 assert(Successors.count(Node) && "Invalid node!");
105 return Successors[Node].begin();
106 }
succ_end(change_ty Node)107 succ_iterator_ty succ_end(change_ty Node) {
108 assert(Successors.count(Node) && "Invalid node!");
109 return Successors[Node].end();
110 }
111
succ_closure_begin(change_ty Node)112 succ_closure_iterator_ty succ_closure_begin(change_ty Node) {
113 assert(SuccClosure.count(Node) && "Invalid node!");
114 return SuccClosure[Node].begin();
115 }
succ_closure_end(change_ty Node)116 succ_closure_iterator_ty succ_closure_end(change_ty Node) {
117 assert(SuccClosure.count(Node) && "Invalid node!");
118 return SuccClosure[Node].end();
119 }
120
UpdatedSearchState(const changeset_ty & Changes,const changesetlist_ty & Sets,const changeset_ty & Required)121 void UpdatedSearchState(const changeset_ty &Changes,
122 const changesetlist_ty &Sets,
123 const changeset_ty &Required) {
124 DDA.UpdatedSearchState(Changes, Sets, Required);
125 }
126
127 /// ExecuteOneTest - Execute a single test predicate on the change set \p S.
ExecuteOneTest(const changeset_ty & S)128 bool ExecuteOneTest(const changeset_ty &S) {
129 // Check dependencies invariant.
130 DEBUG({
131 for (changeset_ty::const_iterator it = S.begin(),
132 ie = S.end(); it != ie; ++it)
133 for (succ_iterator_ty it2 = succ_begin(*it),
134 ie2 = succ_end(*it); it2 != ie2; ++it2)
135 assert(S.count(*it2) && "Attempt to run invalid changeset!");
136 });
137
138 return DDA.ExecuteOneTest(S);
139 }
140
141 public:
142 DAGDeltaAlgorithmImpl(DAGDeltaAlgorithm &_DDA,
143 const changeset_ty &_Changes,
144 const std::vector<edge_ty> &_Dependencies);
145
146 changeset_ty Run();
147
148 /// GetTestResult - Get the test result for the active set \p Changes with
149 /// \p Required changes from the cache, executing the test if necessary.
150 ///
151 /// \param Changes - The set of active changes being minimized, which should
152 /// have their pred closure included in the test.
153 /// \param Required - The set of changes which have previously been
154 /// established to be required.
155 /// \return - The test result.
156 bool GetTestResult(const changeset_ty &Changes, const changeset_ty &Required);
157 };
158
159 /// Helper object for minimizing an active set of changes.
160 class DeltaActiveSetHelper : public DeltaAlgorithm {
161 DAGDeltaAlgorithmImpl &DDAI;
162
163 const changeset_ty &Required;
164
165 protected:
166 /// UpdatedSearchState - Callback used when the search state changes.
UpdatedSearchState(const changeset_ty & Changes,const changesetlist_ty & Sets)167 void UpdatedSearchState(const changeset_ty &Changes,
168 const changesetlist_ty &Sets) override {
169 DDAI.UpdatedSearchState(Changes, Sets, Required);
170 }
171
ExecuteOneTest(const changeset_ty & S)172 bool ExecuteOneTest(const changeset_ty &S) override {
173 return DDAI.GetTestResult(S, Required);
174 }
175
176 public:
DeltaActiveSetHelper(DAGDeltaAlgorithmImpl & _DDAI,const changeset_ty & _Required)177 DeltaActiveSetHelper(DAGDeltaAlgorithmImpl &_DDAI,
178 const changeset_ty &_Required)
179 : DDAI(_DDAI), Required(_Required) {}
180 };
181
182 }
183
DAGDeltaAlgorithmImpl(DAGDeltaAlgorithm & _DDA,const changeset_ty & _Changes,const std::vector<edge_ty> & _Dependencies)184 DAGDeltaAlgorithmImpl::DAGDeltaAlgorithmImpl(DAGDeltaAlgorithm &_DDA,
185 const changeset_ty &_Changes,
186 const std::vector<edge_ty>
187 &_Dependencies)
188 : DDA(_DDA),
189 Changes(_Changes),
190 Dependencies(_Dependencies)
191 {
192 for (changeset_ty::const_iterator it = Changes.begin(),
193 ie = Changes.end(); it != ie; ++it) {
194 Predecessors.insert(std::make_pair(*it, std::vector<change_ty>()));
195 Successors.insert(std::make_pair(*it, std::vector<change_ty>()));
196 }
197 for (std::vector<edge_ty>::const_iterator it = Dependencies.begin(),
198 ie = Dependencies.end(); it != ie; ++it) {
199 Predecessors[it->second].push_back(it->first);
200 Successors[it->first].push_back(it->second);
201 }
202
203 // Compute the roots.
204 for (changeset_ty::const_iterator it = Changes.begin(),
205 ie = Changes.end(); it != ie; ++it)
206 if (succ_begin(*it) == succ_end(*it))
207 Roots.push_back(*it);
208
209 // Pre-compute the closure of the successor relation.
210 std::vector<change_ty> Worklist(Roots.begin(), Roots.end());
211 while (!Worklist.empty()) {
212 change_ty Change = Worklist.back();
213 Worklist.pop_back();
214
215 std::set<change_ty> &ChangeSuccs = SuccClosure[Change];
216 for (pred_iterator_ty it = pred_begin(Change),
217 ie = pred_end(Change); it != ie; ++it) {
218 SuccClosure[*it].insert(Change);
219 SuccClosure[*it].insert(ChangeSuccs.begin(), ChangeSuccs.end());
220 Worklist.push_back(*it);
221 }
222 }
223
224 // Invert to form the predecessor closure map.
225 for (changeset_ty::const_iterator it = Changes.begin(),
226 ie = Changes.end(); it != ie; ++it)
227 PredClosure.insert(std::make_pair(*it, std::set<change_ty>()));
228 for (changeset_ty::const_iterator it = Changes.begin(),
229 ie = Changes.end(); it != ie; ++it)
230 for (succ_closure_iterator_ty it2 = succ_closure_begin(*it),
231 ie2 = succ_closure_end(*it); it2 != ie2; ++it2)
232 PredClosure[*it2].insert(*it);
233
234 // Dump useful debug info.
235 DEBUG({
236 llvm::errs() << "-- DAGDeltaAlgorithmImpl --\n";
237 llvm::errs() << "Changes: [";
238 for (changeset_ty::const_iterator it = Changes.begin(),
239 ie = Changes.end(); it != ie; ++it) {
240 if (it != Changes.begin()) llvm::errs() << ", ";
241 llvm::errs() << *it;
242
243 if (succ_begin(*it) != succ_end(*it)) {
244 llvm::errs() << "(";
245 for (succ_iterator_ty it2 = succ_begin(*it),
246 ie2 = succ_end(*it); it2 != ie2; ++it2) {
247 if (it2 != succ_begin(*it)) llvm::errs() << ", ";
248 llvm::errs() << "->" << *it2;
249 }
250 llvm::errs() << ")";
251 }
252 }
253 llvm::errs() << "]\n";
254
255 llvm::errs() << "Roots: [";
256 for (std::vector<change_ty>::const_iterator it = Roots.begin(),
257 ie = Roots.end(); it != ie; ++it) {
258 if (it != Roots.begin()) llvm::errs() << ", ";
259 llvm::errs() << *it;
260 }
261 llvm::errs() << "]\n";
262
263 llvm::errs() << "Predecessor Closure:\n";
264 for (changeset_ty::const_iterator it = Changes.begin(),
265 ie = Changes.end(); it != ie; ++it) {
266 llvm::errs() << format(" %-4d: [", *it);
267 for (pred_closure_iterator_ty it2 = pred_closure_begin(*it),
268 ie2 = pred_closure_end(*it); it2 != ie2; ++it2) {
269 if (it2 != pred_closure_begin(*it)) llvm::errs() << ", ";
270 llvm::errs() << *it2;
271 }
272 llvm::errs() << "]\n";
273 }
274
275 llvm::errs() << "Successor Closure:\n";
276 for (changeset_ty::const_iterator it = Changes.begin(),
277 ie = Changes.end(); it != ie; ++it) {
278 llvm::errs() << format(" %-4d: [", *it);
279 for (succ_closure_iterator_ty it2 = succ_closure_begin(*it),
280 ie2 = succ_closure_end(*it); it2 != ie2; ++it2) {
281 if (it2 != succ_closure_begin(*it)) llvm::errs() << ", ";
282 llvm::errs() << *it2;
283 }
284 llvm::errs() << "]\n";
285 }
286
287 llvm::errs() << "\n\n";
288 });
289 }
290
GetTestResult(const changeset_ty & Changes,const changeset_ty & Required)291 bool DAGDeltaAlgorithmImpl::GetTestResult(const changeset_ty &Changes,
292 const changeset_ty &Required) {
293 changeset_ty Extended(Required);
294 Extended.insert(Changes.begin(), Changes.end());
295 for (changeset_ty::const_iterator it = Changes.begin(),
296 ie = Changes.end(); it != ie; ++it)
297 Extended.insert(pred_closure_begin(*it), pred_closure_end(*it));
298
299 if (FailedTestsCache.count(Extended))
300 return false;
301
302 bool Result = ExecuteOneTest(Extended);
303 if (!Result)
304 FailedTestsCache.insert(Extended);
305
306 return Result;
307 }
308
309 DAGDeltaAlgorithm::changeset_ty
Run()310 DAGDeltaAlgorithmImpl::Run() {
311 // The current set of changes we are minimizing, starting at the roots.
312 changeset_ty CurrentSet(Roots.begin(), Roots.end());
313
314 // The set of required changes.
315 changeset_ty Required;
316
317 // Iterate until the active set of changes is empty. Convergence is guaranteed
318 // assuming input was a DAG.
319 //
320 // Invariant: CurrentSet intersect Required == {}
321 // Invariant: Required == (Required union succ*(Required))
322 while (!CurrentSet.empty()) {
323 DEBUG({
324 llvm::errs() << "DAG_DD - " << CurrentSet.size() << " active changes, "
325 << Required.size() << " required changes\n";
326 });
327
328 // Minimize the current set of changes.
329 DeltaActiveSetHelper Helper(*this, Required);
330 changeset_ty CurrentMinSet = Helper.Run(CurrentSet);
331
332 // Update the set of required changes. Since
333 // CurrentMinSet subset CurrentSet
334 // and after the last iteration,
335 // succ(CurrentSet) subset Required
336 // then
337 // succ(CurrentMinSet) subset Required
338 // and our invariant on Required is maintained.
339 Required.insert(CurrentMinSet.begin(), CurrentMinSet.end());
340
341 // Replace the current set with the predecssors of the minimized set of
342 // active changes.
343 CurrentSet.clear();
344 for (changeset_ty::const_iterator it = CurrentMinSet.begin(),
345 ie = CurrentMinSet.end(); it != ie; ++it)
346 CurrentSet.insert(pred_begin(*it), pred_end(*it));
347
348 // FIXME: We could enforce CurrentSet intersect Required == {} here if we
349 // wanted to protect against cyclic graphs.
350 }
351
352 return Required;
353 }
354
anchor()355 void DAGDeltaAlgorithm::anchor() {
356 }
357
358 DAGDeltaAlgorithm::changeset_ty
Run(const changeset_ty & Changes,const std::vector<edge_ty> & Dependencies)359 DAGDeltaAlgorithm::Run(const changeset_ty &Changes,
360 const std::vector<edge_ty> &Dependencies) {
361 return DAGDeltaAlgorithmImpl(*this, Changes, Dependencies).Run();
362 }
363