1 //===- DependenceInfo.cpp - Calculate dependency information for a Scop. --===// 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 // Calculate the data dependency relations for a Scop using ISL. 11 // 12 // The integer set library (ISL) from Sven, has a integrated dependency analysis 13 // to calculate data dependences. This pass takes advantage of this and 14 // calculate those dependences a Scop. 15 // 16 // The dependences in this pass are exact in terms that for a specific read 17 // statement instance only the last write statement instance is returned. In 18 // case of may writes a set of possible write instances is returned. This 19 // analysis will never produce redundant dependences. 20 // 21 //===----------------------------------------------------------------------===// 22 // 23 #include "polly/DependenceInfo.h" 24 #include "polly/LinkAllPasses.h" 25 #include "polly/Options.h" 26 #include "polly/ScopInfo.h" 27 #include "polly/Support/GICHelper.h" 28 #include "polly/Support/ISLTools.h" 29 #include "llvm/Support/Debug.h" 30 #include <isl/aff.h> 31 #include <isl/ctx.h> 32 #include <isl/flow.h> 33 #include <isl/map.h> 34 #include <isl/options.h> 35 #include <isl/schedule.h> 36 #include <isl/set.h> 37 #include <isl/union_map.h> 38 #include <isl/union_set.h> 39 40 using namespace polly; 41 using namespace llvm; 42 43 #define DEBUG_TYPE "polly-dependence" 44 45 static cl::opt<int> OptComputeOut( 46 "polly-dependences-computeout", 47 cl::desc("Bound the dependence analysis by a maximal amount of " 48 "computational steps (0 means no bound)"), 49 cl::Hidden, cl::init(500000), cl::ZeroOrMore, cl::cat(PollyCategory)); 50 51 static cl::opt<bool> LegalityCheckDisabled( 52 "disable-polly-legality", cl::desc("Disable polly legality check"), 53 cl::Hidden, cl::init(false), cl::ZeroOrMore, cl::cat(PollyCategory)); 54 55 static cl::opt<bool> 56 UseReductions("polly-dependences-use-reductions", 57 cl::desc("Exploit reductions in dependence analysis"), 58 cl::Hidden, cl::init(true), cl::ZeroOrMore, 59 cl::cat(PollyCategory)); 60 61 enum AnalysisType { VALUE_BASED_ANALYSIS, MEMORY_BASED_ANALYSIS }; 62 63 static cl::opt<enum AnalysisType> OptAnalysisType( 64 "polly-dependences-analysis-type", 65 cl::desc("The kind of dependence analysis to use"), 66 cl::values(clEnumValN(VALUE_BASED_ANALYSIS, "value-based", 67 "Exact dependences without transitive dependences"), 68 clEnumValN(MEMORY_BASED_ANALYSIS, "memory-based", 69 "Overapproximation of dependences")), 70 cl::Hidden, cl::init(VALUE_BASED_ANALYSIS), cl::ZeroOrMore, 71 cl::cat(PollyCategory)); 72 73 static cl::opt<Dependences::AnalysisLevel> OptAnalysisLevel( 74 "polly-dependences-analysis-level", 75 cl::desc("The level of dependence analysis"), 76 cl::values(clEnumValN(Dependences::AL_Statement, "statement-wise", 77 "Statement-level analysis"), 78 clEnumValN(Dependences::AL_Reference, "reference-wise", 79 "Memory reference level analysis that distinguish" 80 " accessed references in the same statement"), 81 clEnumValN(Dependences::AL_Access, "access-wise", 82 "Memory reference level analysis that distinguish" 83 " access instructions in the same statement")), 84 cl::Hidden, cl::init(Dependences::AL_Statement), cl::ZeroOrMore, 85 cl::cat(PollyCategory)); 86 87 //===----------------------------------------------------------------------===// 88 89 /// Tag the @p Relation domain with @p TagId 90 static __isl_give isl_map *tag(__isl_take isl_map *Relation, 91 __isl_take isl_id *TagId) { 92 isl_space *Space = isl_map_get_space(Relation); 93 Space = isl_space_drop_dims(Space, isl_dim_out, 0, 94 isl_map_dim(Relation, isl_dim_out)); 95 Space = isl_space_set_tuple_id(Space, isl_dim_out, TagId); 96 isl_multi_aff *Tag = isl_multi_aff_domain_map(Space); 97 Relation = isl_map_preimage_domain_multi_aff(Relation, Tag); 98 return Relation; 99 } 100 101 /// Tag the @p Relation domain with either MA->getArrayId() or 102 /// MA->getId() based on @p TagLevel 103 static __isl_give isl_map *tag(__isl_take isl_map *Relation, MemoryAccess *MA, 104 Dependences::AnalysisLevel TagLevel) { 105 if (TagLevel == Dependences::AL_Reference) 106 return tag(Relation, MA->getArrayId().release()); 107 108 if (TagLevel == Dependences::AL_Access) 109 return tag(Relation, MA->getId().release()); 110 111 // No need to tag at the statement level. 112 return Relation; 113 } 114 115 /// Collect information about the SCoP @p S. 116 static void collectInfo(Scop &S, isl_union_map *&Read, 117 isl_union_map *&MustWrite, isl_union_map *&MayWrite, 118 isl_union_map *&ReductionTagMap, 119 isl_union_set *&TaggedStmtDomain, 120 Dependences::AnalysisLevel Level) { 121 isl_space *Space = S.getParamSpace().release(); 122 Read = isl_union_map_empty(isl_space_copy(Space)); 123 MustWrite = isl_union_map_empty(isl_space_copy(Space)); 124 MayWrite = isl_union_map_empty(isl_space_copy(Space)); 125 ReductionTagMap = isl_union_map_empty(isl_space_copy(Space)); 126 isl_union_map *StmtSchedule = isl_union_map_empty(Space); 127 128 SmallPtrSet<const ScopArrayInfo *, 8> ReductionArrays; 129 if (UseReductions) 130 for (ScopStmt &Stmt : S) 131 for (MemoryAccess *MA : Stmt) 132 if (MA->isReductionLike()) 133 ReductionArrays.insert(MA->getScopArrayInfo()); 134 135 for (ScopStmt &Stmt : S) { 136 for (MemoryAccess *MA : Stmt) { 137 isl_set *domcp = Stmt.getDomain().release(); 138 isl_map *accdom = MA->getAccessRelation().release(); 139 140 accdom = isl_map_intersect_domain(accdom, domcp); 141 142 if (ReductionArrays.count(MA->getScopArrayInfo())) { 143 // Wrap the access domain and adjust the schedule accordingly. 144 // 145 // An access domain like 146 // Stmt[i0, i1] -> MemAcc_A[i0 + i1] 147 // will be transformed into 148 // [Stmt[i0, i1] -> MemAcc_A[i0 + i1]] -> MemAcc_A[i0 + i1] 149 // 150 // We collect all the access domains in the ReductionTagMap. 151 // This is used in Dependences::calculateDependences to create 152 // a tagged Schedule tree. 153 154 ReductionTagMap = 155 isl_union_map_add_map(ReductionTagMap, isl_map_copy(accdom)); 156 accdom = isl_map_range_map(accdom); 157 } else { 158 accdom = tag(accdom, MA, Level); 159 if (Level > Dependences::AL_Statement) { 160 isl_map *StmtScheduleMap = Stmt.getSchedule().release(); 161 assert(StmtScheduleMap && 162 "Schedules that contain extension nodes require special " 163 "handling."); 164 isl_map *Schedule = tag(StmtScheduleMap, MA, Level); 165 StmtSchedule = isl_union_map_add_map(StmtSchedule, Schedule); 166 } 167 } 168 169 if (MA->isRead()) 170 Read = isl_union_map_add_map(Read, accdom); 171 else if (MA->isMayWrite()) 172 MayWrite = isl_union_map_add_map(MayWrite, accdom); 173 else 174 MustWrite = isl_union_map_add_map(MustWrite, accdom); 175 } 176 177 if (!ReductionArrays.empty() && Level == Dependences::AL_Statement) 178 StmtSchedule = 179 isl_union_map_add_map(StmtSchedule, Stmt.getSchedule().release()); 180 } 181 182 StmtSchedule = isl_union_map_intersect_params( 183 StmtSchedule, S.getAssumedContext().release()); 184 TaggedStmtDomain = isl_union_map_domain(StmtSchedule); 185 186 ReductionTagMap = isl_union_map_coalesce(ReductionTagMap); 187 Read = isl_union_map_coalesce(Read); 188 MustWrite = isl_union_map_coalesce(MustWrite); 189 MayWrite = isl_union_map_coalesce(MayWrite); 190 } 191 192 /// Fix all dimension of @p Zero to 0 and add it to @p user 193 static void fixSetToZero(isl::set Zero, isl::union_set *User) { 194 for (unsigned i = 0; i < Zero.dim(isl::dim::set); i++) 195 Zero = Zero.fix_si(isl::dim::set, i, 0); 196 *User = User->add_set(Zero); 197 } 198 199 /// Compute the privatization dependences for a given dependency @p Map 200 /// 201 /// Privatization dependences are widened original dependences which originate 202 /// or end in a reduction access. To compute them we apply the transitive close 203 /// of the reduction dependences (which maps each iteration of a reduction 204 /// statement to all following ones) on the RAW/WAR/WAW dependences. The 205 /// dependences which start or end at a reduction statement will be extended to 206 /// depend on all following reduction statement iterations as well. 207 /// Note: "Following" here means according to the reduction dependences. 208 /// 209 /// For the input: 210 /// 211 /// S0: *sum = 0; 212 /// for (int i = 0; i < 1024; i++) 213 /// S1: *sum += i; 214 /// S2: *sum = *sum * 3; 215 /// 216 /// we have the following dependences before we add privatization dependences: 217 /// 218 /// RAW: 219 /// { S0[] -> S1[0]; S1[1023] -> S2[] } 220 /// WAR: 221 /// { } 222 /// WAW: 223 /// { S0[] -> S1[0]; S1[1024] -> S2[] } 224 /// RED: 225 /// { S1[i0] -> S1[1 + i0] : i0 >= 0 and i0 <= 1022 } 226 /// 227 /// and afterwards: 228 /// 229 /// RAW: 230 /// { S0[] -> S1[i0] : i0 >= 0 and i0 <= 1023; 231 /// S1[i0] -> S2[] : i0 >= 0 and i0 <= 1023} 232 /// WAR: 233 /// { } 234 /// WAW: 235 /// { S0[] -> S1[i0] : i0 >= 0 and i0 <= 1023; 236 /// S1[i0] -> S2[] : i0 >= 0 and i0 <= 1023} 237 /// RED: 238 /// { S1[i0] -> S1[1 + i0] : i0 >= 0 and i0 <= 1022 } 239 /// 240 /// Note: This function also computes the (reverse) transitive closure of the 241 /// reduction dependences. 242 void Dependences::addPrivatizationDependences() { 243 isl_union_map *PrivRAW, *PrivWAW, *PrivWAR; 244 245 // The transitive closure might be over approximated, thus could lead to 246 // dependency cycles in the privatization dependences. To make sure this 247 // will not happen we remove all negative dependences after we computed 248 // the transitive closure. 249 TC_RED = isl_union_map_transitive_closure(isl_union_map_copy(RED), nullptr); 250 251 // FIXME: Apply the current schedule instead of assuming the identity schedule 252 // here. The current approach is only valid as long as we compute the 253 // dependences only with the initial (identity schedule). Any other 254 // schedule could change "the direction of the backward dependences" we 255 // want to eliminate here. 256 isl_union_set *UDeltas = isl_union_map_deltas(isl_union_map_copy(TC_RED)); 257 isl_union_set *Universe = isl_union_set_universe(isl_union_set_copy(UDeltas)); 258 isl::union_set Zero = 259 isl::manage(isl_union_set_empty(isl_union_set_get_space(Universe))); 260 261 for (isl::set Set : isl::manage_copy(Universe).get_set_list()) 262 fixSetToZero(Set, &Zero); 263 264 isl_union_map *NonPositive = 265 isl_union_set_lex_le_union_set(UDeltas, Zero.release()); 266 267 TC_RED = isl_union_map_subtract(TC_RED, NonPositive); 268 269 TC_RED = isl_union_map_union( 270 TC_RED, isl_union_map_reverse(isl_union_map_copy(TC_RED))); 271 TC_RED = isl_union_map_coalesce(TC_RED); 272 273 isl_union_map **Maps[] = {&RAW, &WAW, &WAR}; 274 isl_union_map **PrivMaps[] = {&PrivRAW, &PrivWAW, &PrivWAR}; 275 for (unsigned u = 0; u < 3; u++) { 276 isl_union_map **Map = Maps[u], **PrivMap = PrivMaps[u]; 277 278 *PrivMap = isl_union_map_apply_range(isl_union_map_copy(*Map), 279 isl_union_map_copy(TC_RED)); 280 *PrivMap = isl_union_map_union( 281 *PrivMap, isl_union_map_apply_range(isl_union_map_copy(TC_RED), 282 isl_union_map_copy(*Map))); 283 284 *Map = isl_union_map_union(*Map, *PrivMap); 285 } 286 287 isl_union_set_free(Universe); 288 } 289 290 static __isl_give isl_union_flow *buildFlow(__isl_keep isl_union_map *Snk, 291 __isl_keep isl_union_map *Src, 292 __isl_keep isl_union_map *MaySrc, 293 __isl_keep isl_schedule *Schedule) { 294 isl_union_access_info *AI; 295 296 AI = isl_union_access_info_from_sink(isl_union_map_copy(Snk)); 297 if (MaySrc) 298 AI = isl_union_access_info_set_may_source(AI, isl_union_map_copy(MaySrc)); 299 if (Src) 300 AI = isl_union_access_info_set_must_source(AI, isl_union_map_copy(Src)); 301 AI = isl_union_access_info_set_schedule(AI, isl_schedule_copy(Schedule)); 302 auto Flow = isl_union_access_info_compute_flow(AI); 303 LLVM_DEBUG(if (!Flow) dbgs() 304 << "last error: " 305 << isl_ctx_last_error(isl_schedule_get_ctx(Schedule)) 306 << '\n';); 307 return Flow; 308 } 309 310 /// Compute exact WAR dependences 311 /// We need exact WAR dependences. That is, if there are 312 /// dependences of the form: 313 /// must-W2 (sink) <- must-W1 (sink) <- R (source) 314 /// We wish to generate *ONLY*: 315 /// { R -> W1 }, 316 /// NOT: 317 /// { R -> W2, R -> W1 } 318 /// 319 /// However, in the case of may-writes, we do *not* wish to allow 320 /// may-writes to block must-writes. This makes sense, since perhaps the 321 /// may-write will not happen. In that case, the exact dependence will 322 /// be the (read -> must-write). 323 /// Example: 324 /// must-W2 (sink) <- may-W1 (sink) <- R (source) 325 /// We wish to generate: 326 /// { R-> W1, R -> W2 } 327 /// 328 /// We use the fact that may dependences are not allowed to flow 329 /// through a must source. That way, reads will be stopped by intermediate 330 /// must-writes. 331 /// However, may-sources may not interfere with one another. Hence, reads 332 /// will not block each other from generating dependences. 333 /// 334 /// Write (Sink) <- MustWrite (Must-Source) <- Read (MaySource) is 335 /// present, then the dependence 336 /// { Write <- Read } 337 /// is not tracked. 338 /// 339 /// We would like to specify the Must-Write as kills, source as Read 340 /// and sink as Write. 341 /// ISL does not have the functionality currently to support "kills". 342 /// Use the Must-Source as a way to specify "kills". 343 /// The drawback is that we will have both 344 /// { Write <- MustWrite, Write <- Read } 345 /// 346 /// We need to filter this to track only { Write <- Read }. 347 /// 348 /// Filtering { Write <- Read } from WAROverestimated: 349 /// -------------------------------------------------- 350 /// isl_union_flow_get_full_may_dependence gives us dependences of the form 351 /// WAROverestimated = { Read+MustWrite -> [Write -> MemoryAccess]} 352 /// 353 /// We need to intersect the domain with Read to get only 354 /// Read dependences. 355 /// Read = { Read -> MemoryAccess } 356 /// 357 /// 358 /// 1. Construct: 359 /// WARMemAccesses = { Read+Write -> [Read+Write -> MemoryAccess] } 360 /// This takes a Read+Write from WAROverestimated and maps it to the 361 /// corresponding wrapped memory access from WAROverestimated. 362 /// 363 /// 2. Apply WARMemAcesses to the domain of WAR Overestimated to give: 364 /// WAR = { [Read+Write -> MemoryAccess] -> [Write -> MemoryAccess] } 365 /// 366 /// WAR is in a state where we can intersect with Read, since they 367 /// have the same structure. 368 /// 369 /// 3. Intersect this with a wrapped Read. Read is wrapped 370 /// to ensure the domains look the same. 371 /// WAR = WAR \intersect (wrapped Read) 372 /// WAR = { [Read -> MemoryAccesss] -> [Write -> MemoryAccess] } 373 /// 374 /// 4. Project out the memory access in the domain to get 375 /// WAR = { Read -> Write } 376 static isl_union_map *buildWAR(isl_union_map *Write, isl_union_map *MustWrite, 377 isl_union_map *Read, isl_schedule *Schedule) { 378 isl_union_flow *Flow = buildFlow(Write, MustWrite, Read, Schedule); 379 auto *WAROverestimated = isl_union_flow_get_full_may_dependence(Flow); 380 381 // 1. Constructing WARMemAccesses 382 // WarMemAccesses = { Read+Write -> [Write -> MemAccess] } 383 // Range factor of range product 384 // { Read+Write -> MemAcesss } 385 // Domain projection 386 // { [Read+Write -> MemAccess] -> Read+Write } 387 // Reverse 388 // { Read+Write -> [Read+Write -> MemAccess] } 389 auto WARMemAccesses = isl_union_map_copy(WAROverestimated); 390 WARMemAccesses = isl_union_map_range_factor_range(WAROverestimated); 391 WARMemAccesses = isl_union_map_domain_map(WARMemAccesses); 392 WARMemAccesses = isl_union_map_reverse(WARMemAccesses); 393 394 // 2. Apply to get domain tagged with memory accesses 395 isl_union_map *WAR = 396 isl_union_map_apply_domain(WAROverestimated, WARMemAccesses); 397 398 // 3. Intersect with Read to extract only reads 399 auto ReadWrapped = isl_union_map_wrap(isl_union_map_copy(Read)); 400 WAR = isl_union_map_intersect_domain(WAR, ReadWrapped); 401 402 // 4. Project out memory accesses to get usual style dependences 403 WAR = isl_union_map_range_factor_domain(WAR); 404 WAR = isl_union_map_domain_factor_domain(WAR); 405 406 isl_union_flow_free(Flow); 407 return WAR; 408 } 409 410 void Dependences::calculateDependences(Scop &S) { 411 isl_union_map *Read, *MustWrite, *MayWrite, *ReductionTagMap; 412 isl_schedule *Schedule; 413 isl_union_set *TaggedStmtDomain; 414 415 LLVM_DEBUG(dbgs() << "Scop: \n" << S << "\n"); 416 417 collectInfo(S, Read, MustWrite, MayWrite, ReductionTagMap, TaggedStmtDomain, 418 Level); 419 420 bool HasReductions = !isl_union_map_is_empty(ReductionTagMap); 421 422 LLVM_DEBUG(dbgs() << "Read: " << Read << '\n'; 423 dbgs() << "MustWrite: " << MustWrite << '\n'; 424 dbgs() << "MayWrite: " << MayWrite << '\n'; 425 dbgs() << "ReductionTagMap: " << ReductionTagMap << '\n'; 426 dbgs() << "TaggedStmtDomain: " << TaggedStmtDomain << '\n';); 427 428 Schedule = S.getScheduleTree().release(); 429 430 if (!HasReductions) { 431 isl_union_map_free(ReductionTagMap); 432 // Tag the schedule tree if we want fine-grain dependence info 433 if (Level > AL_Statement) { 434 auto TaggedMap = 435 isl_union_set_unwrap(isl_union_set_copy(TaggedStmtDomain)); 436 auto Tags = isl_union_map_domain_map_union_pw_multi_aff(TaggedMap); 437 Schedule = isl_schedule_pullback_union_pw_multi_aff(Schedule, Tags); 438 } 439 } else { 440 isl_union_map *IdentityMap; 441 isl_union_pw_multi_aff *ReductionTags, *IdentityTags, *Tags; 442 443 // Extract Reduction tags from the combined access domains in the given 444 // SCoP. The result is a map that maps each tagged element in the domain to 445 // the memory location it accesses. ReductionTags = {[Stmt[i] -> 446 // Array[f(i)]] -> Stmt[i] } 447 ReductionTags = 448 isl_union_map_domain_map_union_pw_multi_aff(ReductionTagMap); 449 450 // Compute an identity map from each statement in domain to itself. 451 // IdentityTags = { [Stmt[i] -> Stmt[i] } 452 IdentityMap = isl_union_set_identity(isl_union_set_copy(TaggedStmtDomain)); 453 IdentityTags = isl_union_pw_multi_aff_from_union_map(IdentityMap); 454 455 Tags = isl_union_pw_multi_aff_union_add(ReductionTags, IdentityTags); 456 457 // By pulling back Tags from Schedule, we have a schedule tree that can 458 // be used to compute normal dependences, as well as 'tagged' reduction 459 // dependences. 460 Schedule = isl_schedule_pullback_union_pw_multi_aff(Schedule, Tags); 461 } 462 463 LLVM_DEBUG(dbgs() << "Read: " << Read << "\n"; 464 dbgs() << "MustWrite: " << MustWrite << "\n"; 465 dbgs() << "MayWrite: " << MayWrite << "\n"; 466 dbgs() << "Schedule: " << Schedule << "\n"); 467 468 isl_union_map *StrictWAW = nullptr; 469 { 470 IslMaxOperationsGuard MaxOpGuard(IslCtx.get(), OptComputeOut); 471 472 RAW = WAW = WAR = RED = nullptr; 473 isl_union_map *Write = isl_union_map_union(isl_union_map_copy(MustWrite), 474 isl_union_map_copy(MayWrite)); 475 476 // We are interested in detecting reductions that do not have intermediate 477 // computations that are captured by other statements. 478 // 479 // Example: 480 // void f(int *A, int *B) { 481 // for(int i = 0; i <= 100; i++) { 482 // 483 // *-WAR (S0[i] -> S0[i + 1] 0 <= i <= 100)------------* 484 // | | 485 // *-WAW (S0[i] -> S0[i + 1] 0 <= i <= 100)------------* 486 // | | 487 // v | 488 // S0: *A += i; >------------------*-----------------------* 489 // | 490 // if (i >= 98) { WAR (S0[i] -> S1[i]) 98 <= i <= 100 491 // | 492 // S1: *B = *A; <--------------* 493 // } 494 // } 495 // } 496 // 497 // S0[0 <= i <= 100] has a reduction. However, the values in 498 // S0[98 <= i <= 100] is captured in S1[98 <= i <= 100]. 499 // Since we allow free reordering on our reduction dependences, we need to 500 // remove all instances of a reduction statement that have data dependences 501 // originating from them. 502 // In the case of the example, we need to remove S0[98 <= i <= 100] from 503 // our reduction dependences. 504 // 505 // When we build up the WAW dependences that are used to detect reductions, 506 // we consider only **Writes that have no intermediate Reads**. 507 // 508 // `isl_union_flow_get_must_dependence` gives us dependences of the form: 509 // (sink <- must_source). 510 // 511 // It *will not give* dependences of the form: 512 // 1. (sink <- ... <- may_source <- ... <- must_source) 513 // 2. (sink <- ... <- must_source <- ... <- must_source) 514 // 515 // For a detailed reference on ISL's flow analysis, see: 516 // "Presburger Formulas and Polyhedral Compilation" - Approximate Dataflow 517 // Analysis. 518 // 519 // Since we set "Write" as a must-source, "Read" as a may-source, and ask 520 // for must dependences, we get all Writes to Writes that **do not flow 521 // through a Read**. 522 // 523 // ScopInfo::checkForReductions makes sure that if something captures 524 // the reduction variable in the same basic block, then it is rejected 525 // before it is even handed here. This makes sure that there is exactly 526 // one read and one write to a reduction variable in a Statement. 527 // Example: 528 // void f(int *sum, int A[N], int B[N]) { 529 // for (int i = 0; i < N; i++) { 530 // *sum += A[i]; < the store and the load is not tagged as a 531 // B[i] = *sum; < reduction-like access due to the overlap. 532 // } 533 // } 534 535 isl_union_flow *Flow = buildFlow(Write, Write, Read, Schedule); 536 StrictWAW = isl_union_flow_get_must_dependence(Flow); 537 isl_union_flow_free(Flow); 538 539 if (OptAnalysisType == VALUE_BASED_ANALYSIS) { 540 Flow = buildFlow(Read, MustWrite, MayWrite, Schedule); 541 RAW = isl_union_flow_get_may_dependence(Flow); 542 isl_union_flow_free(Flow); 543 544 Flow = buildFlow(Write, MustWrite, MayWrite, Schedule); 545 WAW = isl_union_flow_get_may_dependence(Flow); 546 isl_union_flow_free(Flow); 547 548 WAR = buildWAR(Write, MustWrite, Read, Schedule); 549 isl_union_map_free(Write); 550 isl_schedule_free(Schedule); 551 } else { 552 isl_union_flow *Flow; 553 554 Flow = buildFlow(Read, nullptr, Write, Schedule); 555 RAW = isl_union_flow_get_may_dependence(Flow); 556 isl_union_flow_free(Flow); 557 558 Flow = buildFlow(Write, nullptr, Read, Schedule); 559 WAR = isl_union_flow_get_may_dependence(Flow); 560 isl_union_flow_free(Flow); 561 562 Flow = buildFlow(Write, nullptr, Write, Schedule); 563 WAW = isl_union_flow_get_may_dependence(Flow); 564 isl_union_flow_free(Flow); 565 566 isl_union_map_free(Write); 567 isl_schedule_free(Schedule); 568 } 569 570 isl_union_map_free(MustWrite); 571 isl_union_map_free(MayWrite); 572 isl_union_map_free(Read); 573 574 RAW = isl_union_map_coalesce(RAW); 575 WAW = isl_union_map_coalesce(WAW); 576 WAR = isl_union_map_coalesce(WAR); 577 578 // End of max_operations scope. 579 } 580 581 if (isl_ctx_last_error(IslCtx.get()) == isl_error_quota) { 582 isl_union_map_free(RAW); 583 isl_union_map_free(WAW); 584 isl_union_map_free(WAR); 585 isl_union_map_free(StrictWAW); 586 RAW = WAW = WAR = StrictWAW = nullptr; 587 isl_ctx_reset_error(IslCtx.get()); 588 } 589 590 // Drop out early, as the remaining computations are only needed for 591 // reduction dependences or dependences that are finer than statement 592 // level dependences. 593 if (!HasReductions && Level == AL_Statement) { 594 RED = isl_union_map_empty(isl_union_map_get_space(RAW)); 595 TC_RED = isl_union_map_empty(isl_union_set_get_space(TaggedStmtDomain)); 596 isl_union_set_free(TaggedStmtDomain); 597 isl_union_map_free(StrictWAW); 598 return; 599 } 600 601 isl_union_map *STMT_RAW, *STMT_WAW, *STMT_WAR; 602 STMT_RAW = isl_union_map_intersect_domain( 603 isl_union_map_copy(RAW), isl_union_set_copy(TaggedStmtDomain)); 604 STMT_WAW = isl_union_map_intersect_domain( 605 isl_union_map_copy(WAW), isl_union_set_copy(TaggedStmtDomain)); 606 STMT_WAR = 607 isl_union_map_intersect_domain(isl_union_map_copy(WAR), TaggedStmtDomain); 608 LLVM_DEBUG({ 609 dbgs() << "Wrapped Dependences:\n"; 610 dump(); 611 dbgs() << "\n"; 612 }); 613 614 // To handle reduction dependences we proceed as follows: 615 // 1) Aggregate all possible reduction dependences, namely all self 616 // dependences on reduction like statements. 617 // 2) Intersect them with the actual RAW & WAW dependences to the get the 618 // actual reduction dependences. This will ensure the load/store memory 619 // addresses were __identical__ in the two iterations of the statement. 620 // 3) Relax the original RAW, WAW and WAR dependences by subtracting the 621 // actual reduction dependences. Binary reductions (sum += A[i]) cause 622 // the same, RAW, WAW and WAR dependences. 623 // 4) Add the privatization dependences which are widened versions of 624 // already present dependences. They model the effect of manual 625 // privatization at the outermost possible place (namely after the last 626 // write and before the first access to a reduction location). 627 628 // Step 1) 629 RED = isl_union_map_empty(isl_union_map_get_space(RAW)); 630 for (ScopStmt &Stmt : S) { 631 for (MemoryAccess *MA : Stmt) { 632 if (!MA->isReductionLike()) 633 continue; 634 isl_set *AccDomW = isl_map_wrap(MA->getAccessRelation().release()); 635 isl_map *Identity = 636 isl_map_from_domain_and_range(isl_set_copy(AccDomW), AccDomW); 637 RED = isl_union_map_add_map(RED, Identity); 638 } 639 } 640 641 // Step 2) 642 RED = isl_union_map_intersect(RED, isl_union_map_copy(RAW)); 643 RED = isl_union_map_intersect(RED, StrictWAW); 644 645 if (!isl_union_map_is_empty(RED)) { 646 647 // Step 3) 648 RAW = isl_union_map_subtract(RAW, isl_union_map_copy(RED)); 649 WAW = isl_union_map_subtract(WAW, isl_union_map_copy(RED)); 650 WAR = isl_union_map_subtract(WAR, isl_union_map_copy(RED)); 651 652 // Step 4) 653 addPrivatizationDependences(); 654 } else 655 TC_RED = isl_union_map_empty(isl_union_map_get_space(RED)); 656 657 LLVM_DEBUG({ 658 dbgs() << "Final Wrapped Dependences:\n"; 659 dump(); 660 dbgs() << "\n"; 661 }); 662 663 // RED_SIN is used to collect all reduction dependences again after we 664 // split them according to the causing memory accesses. The current assumption 665 // is that our method of splitting will not have any leftovers. In the end 666 // we validate this assumption until we have more confidence in this method. 667 isl_union_map *RED_SIN = isl_union_map_empty(isl_union_map_get_space(RAW)); 668 669 // For each reduction like memory access, check if there are reduction 670 // dependences with the access relation of the memory access as a domain 671 // (wrapped space!). If so these dependences are caused by this memory access. 672 // We then move this portion of reduction dependences back to the statement -> 673 // statement space and add a mapping from the memory access to these 674 // dependences. 675 for (ScopStmt &Stmt : S) { 676 for (MemoryAccess *MA : Stmt) { 677 if (!MA->isReductionLike()) 678 continue; 679 680 isl_set *AccDomW = isl_map_wrap(MA->getAccessRelation().release()); 681 isl_union_map *AccRedDepU = isl_union_map_intersect_domain( 682 isl_union_map_copy(TC_RED), isl_union_set_from_set(AccDomW)); 683 if (isl_union_map_is_empty(AccRedDepU)) { 684 isl_union_map_free(AccRedDepU); 685 continue; 686 } 687 688 isl_map *AccRedDep = isl_map_from_union_map(AccRedDepU); 689 RED_SIN = isl_union_map_add_map(RED_SIN, isl_map_copy(AccRedDep)); 690 AccRedDep = isl_map_zip(AccRedDep); 691 AccRedDep = isl_set_unwrap(isl_map_domain(AccRedDep)); 692 setReductionDependences(MA, AccRedDep); 693 } 694 } 695 696 assert(isl_union_map_is_equal(RED_SIN, TC_RED) && 697 "Intersecting the reduction dependence domain with the wrapped access " 698 "relation is not enough, we need to loosen the access relation also"); 699 isl_union_map_free(RED_SIN); 700 701 RAW = isl_union_map_zip(RAW); 702 WAW = isl_union_map_zip(WAW); 703 WAR = isl_union_map_zip(WAR); 704 RED = isl_union_map_zip(RED); 705 TC_RED = isl_union_map_zip(TC_RED); 706 707 LLVM_DEBUG({ 708 dbgs() << "Zipped Dependences:\n"; 709 dump(); 710 dbgs() << "\n"; 711 }); 712 713 RAW = isl_union_set_unwrap(isl_union_map_domain(RAW)); 714 WAW = isl_union_set_unwrap(isl_union_map_domain(WAW)); 715 WAR = isl_union_set_unwrap(isl_union_map_domain(WAR)); 716 RED = isl_union_set_unwrap(isl_union_map_domain(RED)); 717 TC_RED = isl_union_set_unwrap(isl_union_map_domain(TC_RED)); 718 719 LLVM_DEBUG({ 720 dbgs() << "Unwrapped Dependences:\n"; 721 dump(); 722 dbgs() << "\n"; 723 }); 724 725 RAW = isl_union_map_union(RAW, STMT_RAW); 726 WAW = isl_union_map_union(WAW, STMT_WAW); 727 WAR = isl_union_map_union(WAR, STMT_WAR); 728 729 RAW = isl_union_map_coalesce(RAW); 730 WAW = isl_union_map_coalesce(WAW); 731 WAR = isl_union_map_coalesce(WAR); 732 RED = isl_union_map_coalesce(RED); 733 TC_RED = isl_union_map_coalesce(TC_RED); 734 735 LLVM_DEBUG(dump()); 736 } 737 738 bool Dependences::isValidSchedule(Scop &S, 739 StatementToIslMapTy *NewSchedule) const { 740 if (LegalityCheckDisabled) 741 return true; 742 743 isl_union_map *Dependences = 744 (getDependences(TYPE_RAW | TYPE_WAW | TYPE_WAR)).release(); 745 isl_space *Space = S.getParamSpace().release(); 746 isl_union_map *Schedule = isl_union_map_empty(Space); 747 748 isl_space *ScheduleSpace = nullptr; 749 750 for (ScopStmt &Stmt : S) { 751 isl_map *StmtScat; 752 753 if (NewSchedule->find(&Stmt) == NewSchedule->end()) 754 StmtScat = Stmt.getSchedule().release(); 755 else 756 StmtScat = isl_map_copy((*NewSchedule)[&Stmt]); 757 assert(StmtScat && 758 "Schedules that contain extension nodes require special handling."); 759 760 if (!ScheduleSpace) 761 ScheduleSpace = isl_space_range(isl_map_get_space(StmtScat)); 762 763 Schedule = isl_union_map_add_map(Schedule, StmtScat); 764 } 765 766 Dependences = 767 isl_union_map_apply_domain(Dependences, isl_union_map_copy(Schedule)); 768 Dependences = isl_union_map_apply_range(Dependences, Schedule); 769 770 isl_set *Zero = isl_set_universe(isl_space_copy(ScheduleSpace)); 771 for (unsigned i = 0; i < isl_set_dim(Zero, isl_dim_set); i++) 772 Zero = isl_set_fix_si(Zero, isl_dim_set, i, 0); 773 774 isl_union_set *UDeltas = isl_union_map_deltas(Dependences); 775 isl_set *Deltas = isl_union_set_extract_set(UDeltas, ScheduleSpace); 776 isl_union_set_free(UDeltas); 777 778 isl_map *NonPositive = isl_set_lex_le_set(Deltas, Zero); 779 bool IsValid = isl_map_is_empty(NonPositive); 780 isl_map_free(NonPositive); 781 782 return IsValid; 783 } 784 785 // Check if the current scheduling dimension is parallel. 786 // 787 // We check for parallelism by verifying that the loop does not carry any 788 // dependences. 789 // 790 // Parallelism test: if the distance is zero in all outer dimensions, then it 791 // has to be zero in the current dimension as well. 792 // 793 // Implementation: first, translate dependences into time space, then force 794 // outer dimensions to be equal. If the distance is zero in the current 795 // dimension, then the loop is parallel. The distance is zero in the current 796 // dimension if it is a subset of a map with equal values for the current 797 // dimension. 798 bool Dependences::isParallel(isl_union_map *Schedule, isl_union_map *Deps, 799 isl_pw_aff **MinDistancePtr) const { 800 isl_set *Deltas, *Distance; 801 isl_map *ScheduleDeps; 802 unsigned Dimension; 803 bool IsParallel; 804 805 Deps = isl_union_map_apply_range(Deps, isl_union_map_copy(Schedule)); 806 Deps = isl_union_map_apply_domain(Deps, isl_union_map_copy(Schedule)); 807 808 if (isl_union_map_is_empty(Deps)) { 809 isl_union_map_free(Deps); 810 return true; 811 } 812 813 ScheduleDeps = isl_map_from_union_map(Deps); 814 Dimension = isl_map_dim(ScheduleDeps, isl_dim_out) - 1; 815 816 for (unsigned i = 0; i < Dimension; i++) 817 ScheduleDeps = isl_map_equate(ScheduleDeps, isl_dim_out, i, isl_dim_in, i); 818 819 Deltas = isl_map_deltas(ScheduleDeps); 820 Distance = isl_set_universe(isl_set_get_space(Deltas)); 821 822 // [0, ..., 0, +] - All zeros and last dimension larger than zero 823 for (unsigned i = 0; i < Dimension; i++) 824 Distance = isl_set_fix_si(Distance, isl_dim_set, i, 0); 825 826 Distance = isl_set_lower_bound_si(Distance, isl_dim_set, Dimension, 1); 827 Distance = isl_set_intersect(Distance, Deltas); 828 829 IsParallel = isl_set_is_empty(Distance); 830 if (IsParallel || !MinDistancePtr) { 831 isl_set_free(Distance); 832 return IsParallel; 833 } 834 835 Distance = isl_set_project_out(Distance, isl_dim_set, 0, Dimension); 836 Distance = isl_set_coalesce(Distance); 837 838 // This last step will compute a expression for the minimal value in the 839 // distance polyhedron Distance with regards to the first (outer most) 840 // dimension. 841 *MinDistancePtr = isl_pw_aff_coalesce(isl_set_dim_min(Distance, 0)); 842 843 return false; 844 } 845 846 static void printDependencyMap(raw_ostream &OS, __isl_keep isl_union_map *DM) { 847 if (DM) 848 OS << DM << "\n"; 849 else 850 OS << "n/a\n"; 851 } 852 853 void Dependences::print(raw_ostream &OS) const { 854 OS << "\tRAW dependences:\n\t\t"; 855 printDependencyMap(OS, RAW); 856 OS << "\tWAR dependences:\n\t\t"; 857 printDependencyMap(OS, WAR); 858 OS << "\tWAW dependences:\n\t\t"; 859 printDependencyMap(OS, WAW); 860 OS << "\tReduction dependences:\n\t\t"; 861 printDependencyMap(OS, RED); 862 OS << "\tTransitive closure of reduction dependences:\n\t\t"; 863 printDependencyMap(OS, TC_RED); 864 } 865 866 void Dependences::dump() const { print(dbgs()); } 867 868 void Dependences::releaseMemory() { 869 isl_union_map_free(RAW); 870 isl_union_map_free(WAR); 871 isl_union_map_free(WAW); 872 isl_union_map_free(RED); 873 isl_union_map_free(TC_RED); 874 875 RED = RAW = WAR = WAW = TC_RED = nullptr; 876 877 for (auto &ReductionDeps : ReductionDependences) 878 isl_map_free(ReductionDeps.second); 879 ReductionDependences.clear(); 880 } 881 882 isl::union_map Dependences::getDependences(int Kinds) const { 883 assert(hasValidDependences() && "No valid dependences available"); 884 isl::space Space = isl::manage_copy(RAW).get_space(); 885 isl::union_map Deps = Deps.empty(Space); 886 887 if (Kinds & TYPE_RAW) 888 Deps = Deps.unite(isl::manage_copy(RAW)); 889 890 if (Kinds & TYPE_WAR) 891 Deps = Deps.unite(isl::manage_copy(WAR)); 892 893 if (Kinds & TYPE_WAW) 894 Deps = Deps.unite(isl::manage_copy(WAW)); 895 896 if (Kinds & TYPE_RED) 897 Deps = Deps.unite(isl::manage_copy(RED)); 898 899 if (Kinds & TYPE_TC_RED) 900 Deps = Deps.unite(isl::manage_copy(TC_RED)); 901 902 Deps = Deps.coalesce(); 903 Deps = Deps.detect_equalities(); 904 return Deps; 905 } 906 907 bool Dependences::hasValidDependences() const { 908 return (RAW != nullptr) && (WAR != nullptr) && (WAW != nullptr); 909 } 910 911 __isl_give isl_map * 912 Dependences::getReductionDependences(MemoryAccess *MA) const { 913 return isl_map_copy(ReductionDependences.lookup(MA)); 914 } 915 916 void Dependences::setReductionDependences(MemoryAccess *MA, isl_map *D) { 917 assert(ReductionDependences.count(MA) == 0 && 918 "Reduction dependences set twice!"); 919 ReductionDependences[MA] = D; 920 } 921 922 const Dependences & 923 DependenceAnalysis::Result::getDependences(Dependences::AnalysisLevel Level) { 924 if (Dependences *d = D[Level].get()) 925 return *d; 926 927 return recomputeDependences(Level); 928 } 929 930 const Dependences &DependenceAnalysis::Result::recomputeDependences( 931 Dependences::AnalysisLevel Level) { 932 D[Level].reset(new Dependences(S.getSharedIslCtx(), Level)); 933 D[Level]->calculateDependences(S); 934 return *D[Level]; 935 } 936 937 DependenceAnalysis::Result 938 DependenceAnalysis::run(Scop &S, ScopAnalysisManager &SAM, 939 ScopStandardAnalysisResults &SAR) { 940 return {S, {}}; 941 } 942 943 AnalysisKey DependenceAnalysis::Key; 944 945 PreservedAnalyses 946 DependenceInfoPrinterPass::run(Scop &S, ScopAnalysisManager &SAM, 947 ScopStandardAnalysisResults &SAR, 948 SPMUpdater &U) { 949 auto &DI = SAM.getResult<DependenceAnalysis>(S, SAR); 950 951 if (auto d = DI.D[OptAnalysisLevel].get()) { 952 d->print(OS); 953 return PreservedAnalyses::all(); 954 } 955 956 // Otherwise create the dependences on-the-fly and print them 957 Dependences D(S.getSharedIslCtx(), OptAnalysisLevel); 958 D.calculateDependences(S); 959 D.print(OS); 960 961 return PreservedAnalyses::all(); 962 } 963 964 const Dependences & 965 DependenceInfo::getDependences(Dependences::AnalysisLevel Level) { 966 if (Dependences *d = D[Level].get()) 967 return *d; 968 969 return recomputeDependences(Level); 970 } 971 972 const Dependences & 973 DependenceInfo::recomputeDependences(Dependences::AnalysisLevel Level) { 974 D[Level].reset(new Dependences(S->getSharedIslCtx(), Level)); 975 D[Level]->calculateDependences(*S); 976 return *D[Level]; 977 } 978 979 bool DependenceInfo::runOnScop(Scop &ScopVar) { 980 S = &ScopVar; 981 return false; 982 } 983 984 /// Print the dependences for the given SCoP to @p OS. 985 986 void polly::DependenceInfo::printScop(raw_ostream &OS, Scop &S) const { 987 if (auto d = D[OptAnalysisLevel].get()) { 988 d->print(OS); 989 return; 990 } 991 992 // Otherwise create the dependences on-the-fly and print it 993 Dependences D(S.getSharedIslCtx(), OptAnalysisLevel); 994 D.calculateDependences(S); 995 D.print(OS); 996 } 997 998 void DependenceInfo::getAnalysisUsage(AnalysisUsage &AU) const { 999 AU.addRequiredTransitive<ScopInfoRegionPass>(); 1000 AU.setPreservesAll(); 1001 } 1002 1003 char DependenceInfo::ID = 0; 1004 1005 Pass *polly::createDependenceInfoPass() { return new DependenceInfo(); } 1006 1007 INITIALIZE_PASS_BEGIN(DependenceInfo, "polly-dependences", 1008 "Polly - Calculate dependences", false, false); 1009 INITIALIZE_PASS_DEPENDENCY(ScopInfoRegionPass); 1010 INITIALIZE_PASS_END(DependenceInfo, "polly-dependences", 1011 "Polly - Calculate dependences", false, false) 1012 1013 //===----------------------------------------------------------------------===// 1014 const Dependences & 1015 DependenceInfoWrapperPass::getDependences(Scop *S, 1016 Dependences::AnalysisLevel Level) { 1017 auto It = ScopToDepsMap.find(S); 1018 if (It != ScopToDepsMap.end()) 1019 if (It->second) { 1020 if (It->second->getDependenceLevel() == Level) 1021 return *It->second.get(); 1022 } 1023 return recomputeDependences(S, Level); 1024 } 1025 1026 const Dependences &DependenceInfoWrapperPass::recomputeDependences( 1027 Scop *S, Dependences::AnalysisLevel Level) { 1028 std::unique_ptr<Dependences> D(new Dependences(S->getSharedIslCtx(), Level)); 1029 D->calculateDependences(*S); 1030 auto Inserted = ScopToDepsMap.insert(std::make_pair(S, std::move(D))); 1031 return *Inserted.first->second; 1032 } 1033 1034 bool DependenceInfoWrapperPass::runOnFunction(Function &F) { 1035 auto &SI = *getAnalysis<ScopInfoWrapperPass>().getSI(); 1036 for (auto &It : SI) { 1037 assert(It.second && "Invalid SCoP object!"); 1038 recomputeDependences(It.second.get(), Dependences::AL_Access); 1039 } 1040 return false; 1041 } 1042 1043 void DependenceInfoWrapperPass::print(raw_ostream &OS, const Module *M) const { 1044 for (auto &It : ScopToDepsMap) { 1045 assert((It.first && It.second) && "Invalid Scop or Dependence object!\n"); 1046 It.second->print(OS); 1047 } 1048 } 1049 1050 void DependenceInfoWrapperPass::getAnalysisUsage(AnalysisUsage &AU) const { 1051 AU.addRequiredTransitive<ScopInfoWrapperPass>(); 1052 AU.setPreservesAll(); 1053 } 1054 1055 char DependenceInfoWrapperPass::ID = 0; 1056 1057 Pass *polly::createDependenceInfoWrapperPassPass() { 1058 return new DependenceInfoWrapperPass(); 1059 } 1060 1061 INITIALIZE_PASS_BEGIN( 1062 DependenceInfoWrapperPass, "polly-function-dependences", 1063 "Polly - Calculate dependences for all the SCoPs of a function", false, 1064 false) 1065 INITIALIZE_PASS_DEPENDENCY(ScopInfoWrapperPass); 1066 INITIALIZE_PASS_END( 1067 DependenceInfoWrapperPass, "polly-function-dependences", 1068 "Polly - Calculate dependences for all the SCoPs of a function", false, 1069 false) 1070