LLVM API Documentation
00001 //===--- DAGDeltaAlgorithm.cpp - A DAG Minimization Algorithm --*- C++ -*--===// 00002 // 00003 // The LLVM Compiler Infrastructure 00004 // 00005 // This file is distributed under the University of Illinois Open Source 00006 // License. See LICENSE.TXT for details. 00007 //===----------------------------------------------------------------------===// 00008 // 00009 // The algorithm we use attempts to exploit the dependency information by 00010 // minimizing top-down. We start by constructing an initial root set R, and 00011 // then iteratively: 00012 // 00013 // 1. Minimize the set R using the test predicate: 00014 // P'(S) = P(S union pred*(S)) 00015 // 00016 // 2. Extend R to R' = R union pred(R). 00017 // 00018 // until a fixed point is reached. 00019 // 00020 // The idea is that we want to quickly prune entire portions of the graph, so we 00021 // try to find high-level nodes that can be eliminated with all of their 00022 // dependents. 00023 // 00024 // FIXME: The current algorithm doesn't actually provide a strong guarantee 00025 // about the minimality of the result. The problem is that after adding nodes to 00026 // the required set, we no longer consider them for elimination. For strictly 00027 // well formed predicates, this doesn't happen, but it commonly occurs in 00028 // practice when there are unmodelled dependencies. I believe we can resolve 00029 // this by allowing the required set to be minimized as well, but need more test 00030 // cases first. 00031 // 00032 //===----------------------------------------------------------------------===// 00033 00034 #include "llvm/ADT/DAGDeltaAlgorithm.h" 00035 #include "llvm/ADT/DeltaAlgorithm.h" 00036 #include "llvm/Support/Debug.h" 00037 #include "llvm/Support/Format.h" 00038 #include "llvm/Support/raw_ostream.h" 00039 #include <algorithm> 00040 #include <cassert> 00041 #include <iterator> 00042 #include <map> 00043 using namespace llvm; 00044 00045 #define DEBUG_TYPE "dag-delta" 00046 00047 namespace { 00048 00049 class DAGDeltaAlgorithmImpl { 00050 friend class DeltaActiveSetHelper; 00051 00052 public: 00053 typedef DAGDeltaAlgorithm::change_ty change_ty; 00054 typedef DAGDeltaAlgorithm::changeset_ty changeset_ty; 00055 typedef DAGDeltaAlgorithm::changesetlist_ty changesetlist_ty; 00056 typedef DAGDeltaAlgorithm::edge_ty edge_ty; 00057 00058 private: 00059 typedef std::vector<change_ty>::iterator pred_iterator_ty; 00060 typedef std::vector<change_ty>::iterator succ_iterator_ty; 00061 typedef std::set<change_ty>::iterator pred_closure_iterator_ty; 00062 typedef std::set<change_ty>::iterator succ_closure_iterator_ty; 00063 00064 DAGDeltaAlgorithm &DDA; 00065 00066 const changeset_ty &Changes; 00067 const std::vector<edge_ty> &Dependencies; 00068 00069 std::vector<change_ty> Roots; 00070 00071 /// Cache of failed test results. Successful test results are never cached 00072 /// since we always reduce following a success. We maintain an independent 00073 /// cache from that used by the individual delta passes because we may get 00074 /// hits across multiple individual delta invocations. 00075 mutable std::set<changeset_ty> FailedTestsCache; 00076 00077 // FIXME: Gross. 00078 std::map<change_ty, std::vector<change_ty> > Predecessors; 00079 std::map<change_ty, std::vector<change_ty> > Successors; 00080 00081 std::map<change_ty, std::set<change_ty> > PredClosure; 00082 std::map<change_ty, std::set<change_ty> > SuccClosure; 00083 00084 private: 00085 pred_iterator_ty pred_begin(change_ty Node) { 00086 assert(Predecessors.count(Node) && "Invalid node!"); 00087 return Predecessors[Node].begin(); 00088 } 00089 pred_iterator_ty pred_end(change_ty Node) { 00090 assert(Predecessors.count(Node) && "Invalid node!"); 00091 return Predecessors[Node].end(); 00092 } 00093 00094 pred_closure_iterator_ty pred_closure_begin(change_ty Node) { 00095 assert(PredClosure.count(Node) && "Invalid node!"); 00096 return PredClosure[Node].begin(); 00097 } 00098 pred_closure_iterator_ty pred_closure_end(change_ty Node) { 00099 assert(PredClosure.count(Node) && "Invalid node!"); 00100 return PredClosure[Node].end(); 00101 } 00102 00103 succ_iterator_ty succ_begin(change_ty Node) { 00104 assert(Successors.count(Node) && "Invalid node!"); 00105 return Successors[Node].begin(); 00106 } 00107 succ_iterator_ty succ_end(change_ty Node) { 00108 assert(Successors.count(Node) && "Invalid node!"); 00109 return Successors[Node].end(); 00110 } 00111 00112 succ_closure_iterator_ty succ_closure_begin(change_ty Node) { 00113 assert(SuccClosure.count(Node) && "Invalid node!"); 00114 return SuccClosure[Node].begin(); 00115 } 00116 succ_closure_iterator_ty succ_closure_end(change_ty Node) { 00117 assert(SuccClosure.count(Node) && "Invalid node!"); 00118 return SuccClosure[Node].end(); 00119 } 00120 00121 void UpdatedSearchState(const changeset_ty &Changes, 00122 const changesetlist_ty &Sets, 00123 const changeset_ty &Required) { 00124 DDA.UpdatedSearchState(Changes, Sets, Required); 00125 } 00126 00127 /// ExecuteOneTest - Execute a single test predicate on the change set \p S. 00128 bool ExecuteOneTest(const changeset_ty &S) { 00129 // Check dependencies invariant. 00130 DEBUG({ 00131 for (changeset_ty::const_iterator it = S.begin(), 00132 ie = S.end(); it != ie; ++it) 00133 for (succ_iterator_ty it2 = succ_begin(*it), 00134 ie2 = succ_end(*it); it2 != ie2; ++it2) 00135 assert(S.count(*it2) && "Attempt to run invalid changeset!"); 00136 }); 00137 00138 return DDA.ExecuteOneTest(S); 00139 } 00140 00141 public: 00142 DAGDeltaAlgorithmImpl(DAGDeltaAlgorithm &_DDA, 00143 const changeset_ty &_Changes, 00144 const std::vector<edge_ty> &_Dependencies); 00145 00146 changeset_ty Run(); 00147 00148 /// GetTestResult - Get the test result for the active set \p Changes with 00149 /// \p Required changes from the cache, executing the test if necessary. 00150 /// 00151 /// \param Changes - The set of active changes being minimized, which should 00152 /// have their pred closure included in the test. 00153 /// \param Required - The set of changes which have previously been 00154 /// established to be required. 00155 /// \return - The test result. 00156 bool GetTestResult(const changeset_ty &Changes, const changeset_ty &Required); 00157 }; 00158 00159 /// Helper object for minimizing an active set of changes. 00160 class DeltaActiveSetHelper : public DeltaAlgorithm { 00161 DAGDeltaAlgorithmImpl &DDAI; 00162 00163 const changeset_ty &Required; 00164 00165 protected: 00166 /// UpdatedSearchState - Callback used when the search state changes. 00167 void UpdatedSearchState(const changeset_ty &Changes, 00168 const changesetlist_ty &Sets) override { 00169 DDAI.UpdatedSearchState(Changes, Sets, Required); 00170 } 00171 00172 bool ExecuteOneTest(const changeset_ty &S) override { 00173 return DDAI.GetTestResult(S, Required); 00174 } 00175 00176 public: 00177 DeltaActiveSetHelper(DAGDeltaAlgorithmImpl &_DDAI, 00178 const changeset_ty &_Required) 00179 : DDAI(_DDAI), Required(_Required) {} 00180 }; 00181 00182 } 00183 00184 DAGDeltaAlgorithmImpl::DAGDeltaAlgorithmImpl(DAGDeltaAlgorithm &_DDA, 00185 const changeset_ty &_Changes, 00186 const std::vector<edge_ty> 00187 &_Dependencies) 00188 : DDA(_DDA), 00189 Changes(_Changes), 00190 Dependencies(_Dependencies) 00191 { 00192 for (changeset_ty::const_iterator it = Changes.begin(), 00193 ie = Changes.end(); it != ie; ++it) { 00194 Predecessors.insert(std::make_pair(*it, std::vector<change_ty>())); 00195 Successors.insert(std::make_pair(*it, std::vector<change_ty>())); 00196 } 00197 for (std::vector<edge_ty>::const_iterator it = Dependencies.begin(), 00198 ie = Dependencies.end(); it != ie; ++it) { 00199 Predecessors[it->second].push_back(it->first); 00200 Successors[it->first].push_back(it->second); 00201 } 00202 00203 // Compute the roots. 00204 for (changeset_ty::const_iterator it = Changes.begin(), 00205 ie = Changes.end(); it != ie; ++it) 00206 if (succ_begin(*it) == succ_end(*it)) 00207 Roots.push_back(*it); 00208 00209 // Pre-compute the closure of the successor relation. 00210 std::vector<change_ty> Worklist(Roots.begin(), Roots.end()); 00211 while (!Worklist.empty()) { 00212 change_ty Change = Worklist.back(); 00213 Worklist.pop_back(); 00214 00215 std::set<change_ty> &ChangeSuccs = SuccClosure[Change]; 00216 for (pred_iterator_ty it = pred_begin(Change), 00217 ie = pred_end(Change); it != ie; ++it) { 00218 SuccClosure[*it].insert(Change); 00219 SuccClosure[*it].insert(ChangeSuccs.begin(), ChangeSuccs.end()); 00220 Worklist.push_back(*it); 00221 } 00222 } 00223 00224 // Invert to form the predecessor closure map. 00225 for (changeset_ty::const_iterator it = Changes.begin(), 00226 ie = Changes.end(); it != ie; ++it) 00227 PredClosure.insert(std::make_pair(*it, std::set<change_ty>())); 00228 for (changeset_ty::const_iterator it = Changes.begin(), 00229 ie = Changes.end(); it != ie; ++it) 00230 for (succ_closure_iterator_ty it2 = succ_closure_begin(*it), 00231 ie2 = succ_closure_end(*it); it2 != ie2; ++it2) 00232 PredClosure[*it2].insert(*it); 00233 00234 // Dump useful debug info. 00235 DEBUG({ 00236 llvm::errs() << "-- DAGDeltaAlgorithmImpl --\n"; 00237 llvm::errs() << "Changes: ["; 00238 for (changeset_ty::const_iterator it = Changes.begin(), 00239 ie = Changes.end(); it != ie; ++it) { 00240 if (it != Changes.begin()) llvm::errs() << ", "; 00241 llvm::errs() << *it; 00242 00243 if (succ_begin(*it) != succ_end(*it)) { 00244 llvm::errs() << "("; 00245 for (succ_iterator_ty it2 = succ_begin(*it), 00246 ie2 = succ_end(*it); it2 != ie2; ++it2) { 00247 if (it2 != succ_begin(*it)) llvm::errs() << ", "; 00248 llvm::errs() << "->" << *it2; 00249 } 00250 llvm::errs() << ")"; 00251 } 00252 } 00253 llvm::errs() << "]\n"; 00254 00255 llvm::errs() << "Roots: ["; 00256 for (std::vector<change_ty>::const_iterator it = Roots.begin(), 00257 ie = Roots.end(); it != ie; ++it) { 00258 if (it != Roots.begin()) llvm::errs() << ", "; 00259 llvm::errs() << *it; 00260 } 00261 llvm::errs() << "]\n"; 00262 00263 llvm::errs() << "Predecessor Closure:\n"; 00264 for (changeset_ty::const_iterator it = Changes.begin(), 00265 ie = Changes.end(); it != ie; ++it) { 00266 llvm::errs() << format(" %-4d: [", *it); 00267 for (pred_closure_iterator_ty it2 = pred_closure_begin(*it), 00268 ie2 = pred_closure_end(*it); it2 != ie2; ++it2) { 00269 if (it2 != pred_closure_begin(*it)) llvm::errs() << ", "; 00270 llvm::errs() << *it2; 00271 } 00272 llvm::errs() << "]\n"; 00273 } 00274 00275 llvm::errs() << "Successor Closure:\n"; 00276 for (changeset_ty::const_iterator it = Changes.begin(), 00277 ie = Changes.end(); it != ie; ++it) { 00278 llvm::errs() << format(" %-4d: [", *it); 00279 for (succ_closure_iterator_ty it2 = succ_closure_begin(*it), 00280 ie2 = succ_closure_end(*it); it2 != ie2; ++it2) { 00281 if (it2 != succ_closure_begin(*it)) llvm::errs() << ", "; 00282 llvm::errs() << *it2; 00283 } 00284 llvm::errs() << "]\n"; 00285 } 00286 00287 llvm::errs() << "\n\n"; 00288 }); 00289 } 00290 00291 bool DAGDeltaAlgorithmImpl::GetTestResult(const changeset_ty &Changes, 00292 const changeset_ty &Required) { 00293 changeset_ty Extended(Required); 00294 Extended.insert(Changes.begin(), Changes.end()); 00295 for (changeset_ty::const_iterator it = Changes.begin(), 00296 ie = Changes.end(); it != ie; ++it) 00297 Extended.insert(pred_closure_begin(*it), pred_closure_end(*it)); 00298 00299 if (FailedTestsCache.count(Extended)) 00300 return false; 00301 00302 bool Result = ExecuteOneTest(Extended); 00303 if (!Result) 00304 FailedTestsCache.insert(Extended); 00305 00306 return Result; 00307 } 00308 00309 DAGDeltaAlgorithm::changeset_ty 00310 DAGDeltaAlgorithmImpl::Run() { 00311 // The current set of changes we are minimizing, starting at the roots. 00312 changeset_ty CurrentSet(Roots.begin(), Roots.end()); 00313 00314 // The set of required changes. 00315 changeset_ty Required; 00316 00317 // Iterate until the active set of changes is empty. Convergence is guaranteed 00318 // assuming input was a DAG. 00319 // 00320 // Invariant: CurrentSet intersect Required == {} 00321 // Invariant: Required == (Required union succ*(Required)) 00322 while (!CurrentSet.empty()) { 00323 DEBUG({ 00324 llvm::errs() << "DAG_DD - " << CurrentSet.size() << " active changes, " 00325 << Required.size() << " required changes\n"; 00326 }); 00327 00328 // Minimize the current set of changes. 00329 DeltaActiveSetHelper Helper(*this, Required); 00330 changeset_ty CurrentMinSet = Helper.Run(CurrentSet); 00331 00332 // Update the set of required changes. Since 00333 // CurrentMinSet subset CurrentSet 00334 // and after the last iteration, 00335 // succ(CurrentSet) subset Required 00336 // then 00337 // succ(CurrentMinSet) subset Required 00338 // and our invariant on Required is maintained. 00339 Required.insert(CurrentMinSet.begin(), CurrentMinSet.end()); 00340 00341 // Replace the current set with the predecssors of the minimized set of 00342 // active changes. 00343 CurrentSet.clear(); 00344 for (changeset_ty::const_iterator it = CurrentMinSet.begin(), 00345 ie = CurrentMinSet.end(); it != ie; ++it) 00346 CurrentSet.insert(pred_begin(*it), pred_end(*it)); 00347 00348 // FIXME: We could enforce CurrentSet intersect Required == {} here if we 00349 // wanted to protect against cyclic graphs. 00350 } 00351 00352 return Required; 00353 } 00354 00355 void DAGDeltaAlgorithm::anchor() { 00356 } 00357 00358 DAGDeltaAlgorithm::changeset_ty 00359 DAGDeltaAlgorithm::Run(const changeset_ty &Changes, 00360 const std::vector<edge_ty> &Dependencies) { 00361 return DAGDeltaAlgorithmImpl(*this, Changes, Dependencies).Run(); 00362 }