forked from OSchip/llvm-project
1065 lines
39 KiB
C++
1065 lines
39 KiB
C++
//===- DependenceInfo.cpp - Calculate dependency information for a Scop. --===//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is distributed under the University of Illinois Open Source
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// License. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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//
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// Calculate the data dependency relations for a Scop using ISL.
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//
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// The integer set library (ISL) from Sven, has a integrated dependency analysis
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// to calculate data dependences. This pass takes advantage of this and
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// calculate those dependences a Scop.
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//
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// The dependences in this pass are exact in terms that for a specific read
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// statement instance only the last write statement instance is returned. In
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// case of may writes a set of possible write instances is returned. This
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// analysis will never produce redundant dependences.
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//
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//===----------------------------------------------------------------------===//
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//
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#include "polly/DependenceInfo.h"
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#include "polly/LinkAllPasses.h"
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#include "polly/Options.h"
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#include "polly/ScopInfo.h"
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#include "polly/Support/GICHelper.h"
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#include "llvm/Support/Debug.h"
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#include <isl/aff.h>
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#include <isl/ctx.h>
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#include <isl/flow.h>
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#include <isl/map.h>
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#include <isl/options.h>
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#include <isl/schedule.h>
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#include <isl/set.h>
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#include <isl/union_map.h>
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#include <isl/union_set.h>
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using namespace polly;
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using namespace llvm;
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#define DEBUG_TYPE "polly-dependence"
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static cl::opt<int> OptComputeOut(
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"polly-dependences-computeout",
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cl::desc("Bound the dependence analysis by a maximal amount of "
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"computational steps (0 means no bound)"),
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cl::Hidden, cl::init(500000), cl::ZeroOrMore, cl::cat(PollyCategory));
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static cl::opt<bool> LegalityCheckDisabled(
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"disable-polly-legality", cl::desc("Disable polly legality check"),
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cl::Hidden, cl::init(false), cl::ZeroOrMore, cl::cat(PollyCategory));
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static cl::opt<bool>
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UseReductions("polly-dependences-use-reductions",
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cl::desc("Exploit reductions in dependence analysis"),
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cl::Hidden, cl::init(true), cl::ZeroOrMore,
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cl::cat(PollyCategory));
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enum AnalysisType { VALUE_BASED_ANALYSIS, MEMORY_BASED_ANALYSIS };
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static cl::opt<enum AnalysisType> OptAnalysisType(
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"polly-dependences-analysis-type",
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cl::desc("The kind of dependence analysis to use"),
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cl::values(clEnumValN(VALUE_BASED_ANALYSIS, "value-based",
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"Exact dependences without transitive dependences"),
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clEnumValN(MEMORY_BASED_ANALYSIS, "memory-based",
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"Overapproximation of dependences")),
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cl::Hidden, cl::init(VALUE_BASED_ANALYSIS), cl::ZeroOrMore,
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cl::cat(PollyCategory));
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static cl::opt<Dependences::AnalysisLevel> OptAnalysisLevel(
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"polly-dependences-analysis-level",
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cl::desc("The level of dependence analysis"),
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cl::values(clEnumValN(Dependences::AL_Statement, "statement-wise",
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"Statement-level analysis"),
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clEnumValN(Dependences::AL_Reference, "reference-wise",
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"Memory reference level analysis that distinguish"
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" accessed references in the same statement"),
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clEnumValN(Dependences::AL_Access, "access-wise",
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"Memory reference level analysis that distinguish"
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" access instructions in the same statement")),
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cl::Hidden, cl::init(Dependences::AL_Statement), cl::ZeroOrMore,
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cl::cat(PollyCategory));
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//===----------------------------------------------------------------------===//
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/// Tag the @p Relation domain with @p TagId
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static __isl_give isl_map *tag(__isl_take isl_map *Relation,
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__isl_take isl_id *TagId) {
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isl_space *Space = isl_map_get_space(Relation);
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Space = isl_space_drop_dims(Space, isl_dim_out, 0,
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isl_map_dim(Relation, isl_dim_out));
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Space = isl_space_set_tuple_id(Space, isl_dim_out, TagId);
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isl_multi_aff *Tag = isl_multi_aff_domain_map(Space);
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Relation = isl_map_preimage_domain_multi_aff(Relation, Tag);
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return Relation;
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}
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/// Tag the @p Relation domain with either MA->getArrayId() or
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/// MA->getId() based on @p TagLevel
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static __isl_give isl_map *tag(__isl_take isl_map *Relation, MemoryAccess *MA,
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Dependences::AnalysisLevel TagLevel) {
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if (TagLevel == Dependences::AL_Reference)
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return tag(Relation, MA->getArrayId().release());
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if (TagLevel == Dependences::AL_Access)
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return tag(Relation, MA->getId().release());
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// No need to tag at the statement level.
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return Relation;
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}
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/// Collect information about the SCoP @p S.
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static void collectInfo(Scop &S, isl_union_map *&Read,
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isl_union_map *&MustWrite, isl_union_map *&MayWrite,
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isl_union_map *&ReductionTagMap,
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isl_union_set *&TaggedStmtDomain,
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Dependences::AnalysisLevel Level) {
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isl_space *Space = S.getParamSpace().release();
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Read = isl_union_map_empty(isl_space_copy(Space));
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MustWrite = isl_union_map_empty(isl_space_copy(Space));
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MayWrite = isl_union_map_empty(isl_space_copy(Space));
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ReductionTagMap = isl_union_map_empty(isl_space_copy(Space));
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isl_union_map *StmtSchedule = isl_union_map_empty(Space);
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SmallPtrSet<const ScopArrayInfo *, 8> ReductionArrays;
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if (UseReductions)
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for (ScopStmt &Stmt : S)
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for (MemoryAccess *MA : Stmt)
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if (MA->isReductionLike())
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ReductionArrays.insert(MA->getScopArrayInfo());
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for (ScopStmt &Stmt : S) {
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for (MemoryAccess *MA : Stmt) {
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isl_set *domcp = Stmt.getDomain().release();
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isl_map *accdom = MA->getAccessRelation().release();
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accdom = isl_map_intersect_domain(accdom, domcp);
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if (ReductionArrays.count(MA->getScopArrayInfo())) {
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// Wrap the access domain and adjust the schedule accordingly.
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//
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// An access domain like
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// Stmt[i0, i1] -> MemAcc_A[i0 + i1]
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// will be transformed into
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// [Stmt[i0, i1] -> MemAcc_A[i0 + i1]] -> MemAcc_A[i0 + i1]
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//
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// We collect all the access domains in the ReductionTagMap.
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// This is used in Dependences::calculateDependences to create
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// a tagged Schedule tree.
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ReductionTagMap =
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isl_union_map_add_map(ReductionTagMap, isl_map_copy(accdom));
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accdom = isl_map_range_map(accdom);
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} else {
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accdom = tag(accdom, MA, Level);
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if (Level > Dependences::AL_Statement) {
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isl_map *StmtScheduleMap = Stmt.getSchedule().release();
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assert(StmtScheduleMap &&
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"Schedules that contain extension nodes require special "
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"handling.");
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isl_map *Schedule = tag(StmtScheduleMap, MA, Level);
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StmtSchedule = isl_union_map_add_map(StmtSchedule, Schedule);
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}
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}
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if (MA->isRead())
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Read = isl_union_map_add_map(Read, accdom);
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else if (MA->isMayWrite())
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MayWrite = isl_union_map_add_map(MayWrite, accdom);
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else
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MustWrite = isl_union_map_add_map(MustWrite, accdom);
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}
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if (!ReductionArrays.empty() && Level == Dependences::AL_Statement)
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StmtSchedule =
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isl_union_map_add_map(StmtSchedule, Stmt.getSchedule().release());
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}
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StmtSchedule = isl_union_map_intersect_params(
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StmtSchedule, S.getAssumedContext().release());
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TaggedStmtDomain = isl_union_map_domain(StmtSchedule);
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ReductionTagMap = isl_union_map_coalesce(ReductionTagMap);
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Read = isl_union_map_coalesce(Read);
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MustWrite = isl_union_map_coalesce(MustWrite);
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MayWrite = isl_union_map_coalesce(MayWrite);
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}
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/// Fix all dimension of @p Zero to 0 and add it to @p user
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static isl_stat fixSetToZero(__isl_take isl_set *Zero, void *user) {
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isl_union_set **User = (isl_union_set **)user;
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for (unsigned i = 0; i < isl_set_dim(Zero, isl_dim_set); i++)
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Zero = isl_set_fix_si(Zero, isl_dim_set, i, 0);
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*User = isl_union_set_add_set(*User, Zero);
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return isl_stat_ok;
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}
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/// Compute the privatization dependences for a given dependency @p Map
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///
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/// Privatization dependences are widened original dependences which originate
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/// or end in a reduction access. To compute them we apply the transitive close
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/// of the reduction dependences (which maps each iteration of a reduction
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/// statement to all following ones) on the RAW/WAR/WAW dependences. The
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/// dependences which start or end at a reduction statement will be extended to
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/// depend on all following reduction statement iterations as well.
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/// Note: "Following" here means according to the reduction dependences.
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///
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/// For the input:
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///
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/// S0: *sum = 0;
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/// for (int i = 0; i < 1024; i++)
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/// S1: *sum += i;
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/// S2: *sum = *sum * 3;
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///
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/// we have the following dependences before we add privatization dependences:
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///
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/// RAW:
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/// { S0[] -> S1[0]; S1[1023] -> S2[] }
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/// WAR:
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/// { }
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/// WAW:
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/// { S0[] -> S1[0]; S1[1024] -> S2[] }
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/// RED:
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/// { S1[i0] -> S1[1 + i0] : i0 >= 0 and i0 <= 1022 }
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///
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/// and afterwards:
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///
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/// RAW:
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/// { S0[] -> S1[i0] : i0 >= 0 and i0 <= 1023;
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/// S1[i0] -> S2[] : i0 >= 0 and i0 <= 1023}
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/// WAR:
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/// { }
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/// WAW:
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/// { S0[] -> S1[i0] : i0 >= 0 and i0 <= 1023;
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/// S1[i0] -> S2[] : i0 >= 0 and i0 <= 1023}
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/// RED:
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/// { S1[i0] -> S1[1 + i0] : i0 >= 0 and i0 <= 1022 }
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///
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/// Note: This function also computes the (reverse) transitive closure of the
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/// reduction dependences.
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void Dependences::addPrivatizationDependences() {
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isl_union_map *PrivRAW, *PrivWAW, *PrivWAR;
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// The transitive closure might be over approximated, thus could lead to
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// dependency cycles in the privatization dependences. To make sure this
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// will not happen we remove all negative dependences after we computed
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// the transitive closure.
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TC_RED = isl_union_map_transitive_closure(isl_union_map_copy(RED), nullptr);
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// FIXME: Apply the current schedule instead of assuming the identity schedule
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// here. The current approach is only valid as long as we compute the
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// dependences only with the initial (identity schedule). Any other
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// schedule could change "the direction of the backward dependences" we
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// want to eliminate here.
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isl_union_set *UDeltas = isl_union_map_deltas(isl_union_map_copy(TC_RED));
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isl_union_set *Universe = isl_union_set_universe(isl_union_set_copy(UDeltas));
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isl_union_set *Zero = isl_union_set_empty(isl_union_set_get_space(Universe));
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isl_union_set_foreach_set(Universe, fixSetToZero, &Zero);
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isl_union_map *NonPositive = isl_union_set_lex_le_union_set(UDeltas, Zero);
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TC_RED = isl_union_map_subtract(TC_RED, NonPositive);
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TC_RED = isl_union_map_union(
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TC_RED, isl_union_map_reverse(isl_union_map_copy(TC_RED)));
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TC_RED = isl_union_map_coalesce(TC_RED);
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isl_union_map **Maps[] = {&RAW, &WAW, &WAR};
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isl_union_map **PrivMaps[] = {&PrivRAW, &PrivWAW, &PrivWAR};
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for (unsigned u = 0; u < 3; u++) {
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isl_union_map **Map = Maps[u], **PrivMap = PrivMaps[u];
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*PrivMap = isl_union_map_apply_range(isl_union_map_copy(*Map),
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isl_union_map_copy(TC_RED));
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*PrivMap = isl_union_map_union(
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*PrivMap, isl_union_map_apply_range(isl_union_map_copy(TC_RED),
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isl_union_map_copy(*Map)));
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*Map = isl_union_map_union(*Map, *PrivMap);
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}
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isl_union_set_free(Universe);
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}
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static __isl_give isl_union_flow *buildFlow(__isl_keep isl_union_map *Snk,
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__isl_keep isl_union_map *Src,
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__isl_keep isl_union_map *MaySrc,
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__isl_keep isl_schedule *Schedule) {
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isl_union_access_info *AI;
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AI = isl_union_access_info_from_sink(isl_union_map_copy(Snk));
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if (MaySrc)
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AI = isl_union_access_info_set_may_source(AI, isl_union_map_copy(MaySrc));
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if (Src)
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AI = isl_union_access_info_set_must_source(AI, isl_union_map_copy(Src));
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AI = isl_union_access_info_set_schedule(AI, isl_schedule_copy(Schedule));
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auto Flow = isl_union_access_info_compute_flow(AI);
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LLVM_DEBUG(if (!Flow) dbgs()
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<< "last error: "
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<< isl_ctx_last_error(isl_schedule_get_ctx(Schedule))
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<< '\n';);
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return Flow;
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}
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/// Compute exact WAR dependences
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/// We need exact WAR dependences. That is, if there are
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/// dependences of the form:
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/// must-W2 (sink) <- must-W1 (sink) <- R (source)
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/// We wish to generate *ONLY*:
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/// { R -> W1 },
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/// NOT:
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/// { R -> W2, R -> W1 }
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///
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/// However, in the case of may-writes, we do *not* wish to allow
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/// may-writes to block must-writes. This makes sense, since perhaps the
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/// may-write will not happen. In that case, the exact dependence will
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/// be the (read -> must-write).
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/// Example:
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/// must-W2 (sink) <- may-W1 (sink) <- R (source)
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/// We wish to generate:
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/// { R-> W1, R -> W2 }
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///
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/// We use the fact that may dependences are not allowed to flow
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/// through a must source. That way, reads will be stopped by intermediate
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/// must-writes.
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/// However, may-sources may not interfere with one another. Hence, reads
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/// will not block each other from generating dependences.
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///
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/// Write (Sink) <- MustWrite (Must-Source) <- Read (MaySource) is
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/// present, then the dependence
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/// { Write <- Read }
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/// is not tracked.
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///
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/// We would like to specify the Must-Write as kills, source as Read
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/// and sink as Write.
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/// ISL does not have the functionality currently to support "kills".
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/// Use the Must-Source as a way to specify "kills".
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/// The drawback is that we will have both
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/// { Write <- MustWrite, Write <- Read }
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///
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/// We need to filter this to track only { Write <- Read }.
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///
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/// Filtering { Write <- Read } from WAROverestimated:
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/// --------------------------------------------------
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/// isl_union_flow_get_full_may_dependence gives us dependences of the form
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/// WAROverestimated = { Read+MustWrite -> [Write -> MemoryAccess]}
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///
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/// We need to intersect the domain with Read to get only
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/// Read dependences.
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/// Read = { Read -> MemoryAccess }
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///
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///
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/// 1. Construct:
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/// WARMemAccesses = { Read+Write -> [Read+Write -> MemoryAccess] }
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/// This takes a Read+Write from WAROverestimated and maps it to the
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/// corresponding wrapped memory access from WAROverestimated.
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///
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/// 2. Apply WARMemAcesses to the domain of WAR Overestimated to give:
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/// WAR = { [Read+Write -> MemoryAccess] -> [Write -> MemoryAccess] }
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///
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/// WAR is in a state where we can intersect with Read, since they
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/// have the same structure.
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///
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/// 3. Intersect this with a wrapped Read. Read is wrapped
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/// to ensure the domains look the same.
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/// WAR = WAR \intersect (wrapped Read)
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/// WAR = { [Read -> MemoryAccesss] -> [Write -> MemoryAccess] }
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///
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/// 4. Project out the memory access in the domain to get
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/// WAR = { Read -> Write }
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static isl_union_map *buildWAR(isl_union_map *Write, isl_union_map *MustWrite,
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isl_union_map *Read, isl_schedule *Schedule) {
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isl_union_flow *Flow = buildFlow(Write, MustWrite, Read, Schedule);
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auto *WAROverestimated = isl_union_flow_get_full_may_dependence(Flow);
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// 1. Constructing WARMemAccesses
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// WarMemAccesses = { Read+Write -> [Write -> MemAccess] }
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// Range factor of range product
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// { Read+Write -> MemAcesss }
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// Domain projection
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// { [Read+Write -> MemAccess] -> Read+Write }
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// Reverse
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// { Read+Write -> [Read+Write -> MemAccess] }
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auto WARMemAccesses = isl_union_map_copy(WAROverestimated);
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WARMemAccesses = isl_union_map_range_factor_range(WAROverestimated);
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WARMemAccesses = isl_union_map_domain_map(WARMemAccesses);
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WARMemAccesses = isl_union_map_reverse(WARMemAccesses);
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// 2. Apply to get domain tagged with memory accesses
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isl_union_map *WAR =
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isl_union_map_apply_domain(WAROverestimated, WARMemAccesses);
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// 3. Intersect with Read to extract only reads
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auto ReadWrapped = isl_union_map_wrap(isl_union_map_copy(Read));
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WAR = isl_union_map_intersect_domain(WAR, ReadWrapped);
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// 4. Project out memory accesses to get usual style dependences
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WAR = isl_union_map_range_factor_domain(WAR);
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WAR = isl_union_map_domain_factor_domain(WAR);
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isl_union_flow_free(Flow);
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return WAR;
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}
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void Dependences::calculateDependences(Scop &S) {
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isl_union_map *Read, *MustWrite, *MayWrite, *ReductionTagMap;
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isl_schedule *Schedule;
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isl_union_set *TaggedStmtDomain;
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LLVM_DEBUG(dbgs() << "Scop: \n" << S << "\n");
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collectInfo(S, Read, MustWrite, MayWrite, ReductionTagMap, TaggedStmtDomain,
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Level);
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bool HasReductions = !isl_union_map_is_empty(ReductionTagMap);
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LLVM_DEBUG(dbgs() << "Read: " << Read << '\n';
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dbgs() << "MustWrite: " << MustWrite << '\n';
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dbgs() << "MayWrite: " << MayWrite << '\n';
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dbgs() << "ReductionTagMap: " << ReductionTagMap << '\n';
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dbgs() << "TaggedStmtDomain: " << TaggedStmtDomain << '\n';);
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Schedule = S.getScheduleTree().release();
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if (!HasReductions) {
|
|
isl_union_map_free(ReductionTagMap);
|
|
// Tag the schedule tree if we want fine-grain dependence info
|
|
if (Level > AL_Statement) {
|
|
auto TaggedMap =
|
|
isl_union_set_unwrap(isl_union_set_copy(TaggedStmtDomain));
|
|
auto Tags = isl_union_map_domain_map_union_pw_multi_aff(TaggedMap);
|
|
Schedule = isl_schedule_pullback_union_pw_multi_aff(Schedule, Tags);
|
|
}
|
|
} else {
|
|
isl_union_map *IdentityMap;
|
|
isl_union_pw_multi_aff *ReductionTags, *IdentityTags, *Tags;
|
|
|
|
// Extract Reduction tags from the combined access domains in the given
|
|
// SCoP. The result is a map that maps each tagged element in the domain to
|
|
// the memory location it accesses. ReductionTags = {[Stmt[i] ->
|
|
// Array[f(i)]] -> Stmt[i] }
|
|
ReductionTags =
|
|
isl_union_map_domain_map_union_pw_multi_aff(ReductionTagMap);
|
|
|
|
// Compute an identity map from each statement in domain to itself.
|
|
// IdentityTags = { [Stmt[i] -> Stmt[i] }
|
|
IdentityMap = isl_union_set_identity(isl_union_set_copy(TaggedStmtDomain));
|
|
IdentityTags = isl_union_pw_multi_aff_from_union_map(IdentityMap);
|
|
|
|
Tags = isl_union_pw_multi_aff_union_add(ReductionTags, IdentityTags);
|
|
|
|
// By pulling back Tags from Schedule, we have a schedule tree that can
|
|
// be used to compute normal dependences, as well as 'tagged' reduction
|
|
// dependences.
|
|
Schedule = isl_schedule_pullback_union_pw_multi_aff(Schedule, Tags);
|
|
}
|
|
|
|
LLVM_DEBUG(dbgs() << "Read: " << Read << "\n";
|
|
dbgs() << "MustWrite: " << MustWrite << "\n";
|
|
dbgs() << "MayWrite: " << MayWrite << "\n";
|
|
dbgs() << "Schedule: " << Schedule << "\n");
|
|
|
|
isl_union_map *StrictWAW = nullptr;
|
|
{
|
|
IslMaxOperationsGuard MaxOpGuard(IslCtx.get(), OptComputeOut);
|
|
|
|
RAW = WAW = WAR = RED = nullptr;
|
|
isl_union_map *Write = isl_union_map_union(isl_union_map_copy(MustWrite),
|
|
isl_union_map_copy(MayWrite));
|
|
|
|
// We are interested in detecting reductions that do not have intermediate
|
|
// computations that are captured by other statements.
|
|
//
|
|
// Example:
|
|
// void f(int *A, int *B) {
|
|
// for(int i = 0; i <= 100; i++) {
|
|
//
|
|
// *-WAR (S0[i] -> S0[i + 1] 0 <= i <= 100)------------*
|
|
// | |
|
|
// *-WAW (S0[i] -> S0[i + 1] 0 <= i <= 100)------------*
|
|
// | |
|
|
// v |
|
|
// S0: *A += i; >------------------*-----------------------*
|
|
// |
|
|
// if (i >= 98) { WAR (S0[i] -> S1[i]) 98 <= i <= 100
|
|
// |
|
|
// S1: *B = *A; <--------------*
|
|
// }
|
|
// }
|
|
// }
|
|
//
|
|
// S0[0 <= i <= 100] has a reduction. However, the values in
|
|
// S0[98 <= i <= 100] is captured in S1[98 <= i <= 100].
|
|
// Since we allow free reordering on our reduction dependences, we need to
|
|
// remove all instances of a reduction statement that have data dependences
|
|
// originating from them.
|
|
// In the case of the example, we need to remove S0[98 <= i <= 100] from
|
|
// our reduction dependences.
|
|
//
|
|
// When we build up the WAW dependences that are used to detect reductions,
|
|
// we consider only **Writes that have no intermediate Reads**.
|
|
//
|
|
// `isl_union_flow_get_must_dependence` gives us dependences of the form:
|
|
// (sink <- must_source).
|
|
//
|
|
// It *will not give* dependences of the form:
|
|
// 1. (sink <- ... <- may_source <- ... <- must_source)
|
|
// 2. (sink <- ... <- must_source <- ... <- must_source)
|
|
//
|
|
// For a detailed reference on ISL's flow analysis, see:
|
|
// "Presburger Formulas and Polyhedral Compilation" - Approximate Dataflow
|
|
// Analysis.
|
|
//
|
|
// Since we set "Write" as a must-source, "Read" as a may-source, and ask
|
|
// for must dependences, we get all Writes to Writes that **do not flow
|
|
// through a Read**.
|
|
//
|
|
// ScopInfo::checkForReductions makes sure that if something captures
|
|
// the reduction variable in the same basic block, then it is rejected
|
|
// before it is even handed here. This makes sure that there is exactly
|
|
// one read and one write to a reduction variable in a Statement.
|
|
// Example:
|
|
// void f(int *sum, int A[N], int B[N]) {
|
|
// for (int i = 0; i < N; i++) {
|
|
// *sum += A[i]; < the store and the load is not tagged as a
|
|
// B[i] = *sum; < reduction-like access due to the overlap.
|
|
// }
|
|
// }
|
|
|
|
isl_union_flow *Flow = buildFlow(Write, Write, Read, Schedule);
|
|
StrictWAW = isl_union_flow_get_must_dependence(Flow);
|
|
isl_union_flow_free(Flow);
|
|
|
|
if (OptAnalysisType == VALUE_BASED_ANALYSIS) {
|
|
Flow = buildFlow(Read, MustWrite, MayWrite, Schedule);
|
|
RAW = isl_union_flow_get_may_dependence(Flow);
|
|
isl_union_flow_free(Flow);
|
|
|
|
Flow = buildFlow(Write, MustWrite, MayWrite, Schedule);
|
|
WAW = isl_union_flow_get_may_dependence(Flow);
|
|
isl_union_flow_free(Flow);
|
|
|
|
WAR = buildWAR(Write, MustWrite, Read, Schedule);
|
|
isl_union_map_free(Write);
|
|
isl_schedule_free(Schedule);
|
|
} else {
|
|
isl_union_flow *Flow;
|
|
|
|
Flow = buildFlow(Read, nullptr, Write, Schedule);
|
|
RAW = isl_union_flow_get_may_dependence(Flow);
|
|
isl_union_flow_free(Flow);
|
|
|
|
Flow = buildFlow(Write, nullptr, Read, Schedule);
|
|
WAR = isl_union_flow_get_may_dependence(Flow);
|
|
isl_union_flow_free(Flow);
|
|
|
|
Flow = buildFlow(Write, nullptr, Write, Schedule);
|
|
WAW = isl_union_flow_get_may_dependence(Flow);
|
|
isl_union_flow_free(Flow);
|
|
|
|
isl_union_map_free(Write);
|
|
isl_schedule_free(Schedule);
|
|
}
|
|
|
|
isl_union_map_free(MustWrite);
|
|
isl_union_map_free(MayWrite);
|
|
isl_union_map_free(Read);
|
|
|
|
RAW = isl_union_map_coalesce(RAW);
|
|
WAW = isl_union_map_coalesce(WAW);
|
|
WAR = isl_union_map_coalesce(WAR);
|
|
|
|
// End of max_operations scope.
|
|
}
|
|
|
|
if (isl_ctx_last_error(IslCtx.get()) == isl_error_quota) {
|
|
isl_union_map_free(RAW);
|
|
isl_union_map_free(WAW);
|
|
isl_union_map_free(WAR);
|
|
isl_union_map_free(StrictWAW);
|
|
RAW = WAW = WAR = StrictWAW = nullptr;
|
|
isl_ctx_reset_error(IslCtx.get());
|
|
}
|
|
|
|
// Drop out early, as the remaining computations are only needed for
|
|
// reduction dependences or dependences that are finer than statement
|
|
// level dependences.
|
|
if (!HasReductions && Level == AL_Statement) {
|
|
RED = isl_union_map_empty(isl_union_map_get_space(RAW));
|
|
TC_RED = isl_union_map_empty(isl_union_set_get_space(TaggedStmtDomain));
|
|
isl_union_set_free(TaggedStmtDomain);
|
|
isl_union_map_free(StrictWAW);
|
|
return;
|
|
}
|
|
|
|
isl_union_map *STMT_RAW, *STMT_WAW, *STMT_WAR;
|
|
STMT_RAW = isl_union_map_intersect_domain(
|
|
isl_union_map_copy(RAW), isl_union_set_copy(TaggedStmtDomain));
|
|
STMT_WAW = isl_union_map_intersect_domain(
|
|
isl_union_map_copy(WAW), isl_union_set_copy(TaggedStmtDomain));
|
|
STMT_WAR =
|
|
isl_union_map_intersect_domain(isl_union_map_copy(WAR), TaggedStmtDomain);
|
|
LLVM_DEBUG({
|
|
dbgs() << "Wrapped Dependences:\n";
|
|
dump();
|
|
dbgs() << "\n";
|
|
});
|
|
|
|
// To handle reduction dependences we proceed as follows:
|
|
// 1) Aggregate all possible reduction dependences, namely all self
|
|
// dependences on reduction like statements.
|
|
// 2) Intersect them with the actual RAW & WAW dependences to the get the
|
|
// actual reduction dependences. This will ensure the load/store memory
|
|
// addresses were __identical__ in the two iterations of the statement.
|
|
// 3) Relax the original RAW, WAW and WAR dependences by subtracting the
|
|
// actual reduction dependences. Binary reductions (sum += A[i]) cause
|
|
// the same, RAW, WAW and WAR dependences.
|
|
// 4) Add the privatization dependences which are widened versions of
|
|
// already present dependences. They model the effect of manual
|
|
// privatization at the outermost possible place (namely after the last
|
|
// write and before the first access to a reduction location).
|
|
|
|
// Step 1)
|
|
RED = isl_union_map_empty(isl_union_map_get_space(RAW));
|
|
for (ScopStmt &Stmt : S) {
|
|
for (MemoryAccess *MA : Stmt) {
|
|
if (!MA->isReductionLike())
|
|
continue;
|
|
isl_set *AccDomW = isl_map_wrap(MA->getAccessRelation().release());
|
|
isl_map *Identity =
|
|
isl_map_from_domain_and_range(isl_set_copy(AccDomW), AccDomW);
|
|
RED = isl_union_map_add_map(RED, Identity);
|
|
}
|
|
}
|
|
|
|
// Step 2)
|
|
RED = isl_union_map_intersect(RED, isl_union_map_copy(RAW));
|
|
RED = isl_union_map_intersect(RED, StrictWAW);
|
|
|
|
if (!isl_union_map_is_empty(RED)) {
|
|
|
|
// Step 3)
|
|
RAW = isl_union_map_subtract(RAW, isl_union_map_copy(RED));
|
|
WAW = isl_union_map_subtract(WAW, isl_union_map_copy(RED));
|
|
WAR = isl_union_map_subtract(WAR, isl_union_map_copy(RED));
|
|
|
|
// Step 4)
|
|
addPrivatizationDependences();
|
|
} else
|
|
TC_RED = isl_union_map_empty(isl_union_map_get_space(RED));
|
|
|
|
LLVM_DEBUG({
|
|
dbgs() << "Final Wrapped Dependences:\n";
|
|
dump();
|
|
dbgs() << "\n";
|
|
});
|
|
|
|
// RED_SIN is used to collect all reduction dependences again after we
|
|
// split them according to the causing memory accesses. The current assumption
|
|
// is that our method of splitting will not have any leftovers. In the end
|
|
// we validate this assumption until we have more confidence in this method.
|
|
isl_union_map *RED_SIN = isl_union_map_empty(isl_union_map_get_space(RAW));
|
|
|
|
// For each reduction like memory access, check if there are reduction
|
|
// dependences with the access relation of the memory access as a domain
|
|
// (wrapped space!). If so these dependences are caused by this memory access.
|
|
// We then move this portion of reduction dependences back to the statement ->
|
|
// statement space and add a mapping from the memory access to these
|
|
// dependences.
|
|
for (ScopStmt &Stmt : S) {
|
|
for (MemoryAccess *MA : Stmt) {
|
|
if (!MA->isReductionLike())
|
|
continue;
|
|
|
|
isl_set *AccDomW = isl_map_wrap(MA->getAccessRelation().release());
|
|
isl_union_map *AccRedDepU = isl_union_map_intersect_domain(
|
|
isl_union_map_copy(TC_RED), isl_union_set_from_set(AccDomW));
|
|
if (isl_union_map_is_empty(AccRedDepU)) {
|
|
isl_union_map_free(AccRedDepU);
|
|
continue;
|
|
}
|
|
|
|
isl_map *AccRedDep = isl_map_from_union_map(AccRedDepU);
|
|
RED_SIN = isl_union_map_add_map(RED_SIN, isl_map_copy(AccRedDep));
|
|
AccRedDep = isl_map_zip(AccRedDep);
|
|
AccRedDep = isl_set_unwrap(isl_map_domain(AccRedDep));
|
|
setReductionDependences(MA, AccRedDep);
|
|
}
|
|
}
|
|
|
|
assert(isl_union_map_is_equal(RED_SIN, TC_RED) &&
|
|
"Intersecting the reduction dependence domain with the wrapped access "
|
|
"relation is not enough, we need to loosen the access relation also");
|
|
isl_union_map_free(RED_SIN);
|
|
|
|
RAW = isl_union_map_zip(RAW);
|
|
WAW = isl_union_map_zip(WAW);
|
|
WAR = isl_union_map_zip(WAR);
|
|
RED = isl_union_map_zip(RED);
|
|
TC_RED = isl_union_map_zip(TC_RED);
|
|
|
|
LLVM_DEBUG({
|
|
dbgs() << "Zipped Dependences:\n";
|
|
dump();
|
|
dbgs() << "\n";
|
|
});
|
|
|
|
RAW = isl_union_set_unwrap(isl_union_map_domain(RAW));
|
|
WAW = isl_union_set_unwrap(isl_union_map_domain(WAW));
|
|
WAR = isl_union_set_unwrap(isl_union_map_domain(WAR));
|
|
RED = isl_union_set_unwrap(isl_union_map_domain(RED));
|
|
TC_RED = isl_union_set_unwrap(isl_union_map_domain(TC_RED));
|
|
|
|
LLVM_DEBUG({
|
|
dbgs() << "Unwrapped Dependences:\n";
|
|
dump();
|
|
dbgs() << "\n";
|
|
});
|
|
|
|
RAW = isl_union_map_union(RAW, STMT_RAW);
|
|
WAW = isl_union_map_union(WAW, STMT_WAW);
|
|
WAR = isl_union_map_union(WAR, STMT_WAR);
|
|
|
|
RAW = isl_union_map_coalesce(RAW);
|
|
WAW = isl_union_map_coalesce(WAW);
|
|
WAR = isl_union_map_coalesce(WAR);
|
|
RED = isl_union_map_coalesce(RED);
|
|
TC_RED = isl_union_map_coalesce(TC_RED);
|
|
|
|
LLVM_DEBUG(dump());
|
|
}
|
|
|
|
bool Dependences::isValidSchedule(Scop &S,
|
|
StatementToIslMapTy *NewSchedule) const {
|
|
if (LegalityCheckDisabled)
|
|
return true;
|
|
|
|
isl_union_map *Dependences = getDependences(TYPE_RAW | TYPE_WAW | TYPE_WAR);
|
|
isl_space *Space = S.getParamSpace().release();
|
|
isl_union_map *Schedule = isl_union_map_empty(Space);
|
|
|
|
isl_space *ScheduleSpace = nullptr;
|
|
|
|
for (ScopStmt &Stmt : S) {
|
|
isl_map *StmtScat;
|
|
|
|
if (NewSchedule->find(&Stmt) == NewSchedule->end())
|
|
StmtScat = Stmt.getSchedule().release();
|
|
else
|
|
StmtScat = isl_map_copy((*NewSchedule)[&Stmt]);
|
|
assert(StmtScat &&
|
|
"Schedules that contain extension nodes require special handling.");
|
|
|
|
if (!ScheduleSpace)
|
|
ScheduleSpace = isl_space_range(isl_map_get_space(StmtScat));
|
|
|
|
Schedule = isl_union_map_add_map(Schedule, StmtScat);
|
|
}
|
|
|
|
Dependences =
|
|
isl_union_map_apply_domain(Dependences, isl_union_map_copy(Schedule));
|
|
Dependences = isl_union_map_apply_range(Dependences, Schedule);
|
|
|
|
isl_set *Zero = isl_set_universe(isl_space_copy(ScheduleSpace));
|
|
for (unsigned i = 0; i < isl_set_dim(Zero, isl_dim_set); i++)
|
|
Zero = isl_set_fix_si(Zero, isl_dim_set, i, 0);
|
|
|
|
isl_union_set *UDeltas = isl_union_map_deltas(Dependences);
|
|
isl_set *Deltas = isl_union_set_extract_set(UDeltas, ScheduleSpace);
|
|
isl_union_set_free(UDeltas);
|
|
|
|
isl_map *NonPositive = isl_set_lex_le_set(Deltas, Zero);
|
|
bool IsValid = isl_map_is_empty(NonPositive);
|
|
isl_map_free(NonPositive);
|
|
|
|
return IsValid;
|
|
}
|
|
|
|
// Check if the current scheduling dimension is parallel.
|
|
//
|
|
// We check for parallelism by verifying that the loop does not carry any
|
|
// dependences.
|
|
//
|
|
// Parallelism test: if the distance is zero in all outer dimensions, then it
|
|
// has to be zero in the current dimension as well.
|
|
//
|
|
// Implementation: first, translate dependences into time space, then force
|
|
// outer dimensions to be equal. If the distance is zero in the current
|
|
// dimension, then the loop is parallel. The distance is zero in the current
|
|
// dimension if it is a subset of a map with equal values for the current
|
|
// dimension.
|
|
bool Dependences::isParallel(isl_union_map *Schedule, isl_union_map *Deps,
|
|
isl_pw_aff **MinDistancePtr) const {
|
|
isl_set *Deltas, *Distance;
|
|
isl_map *ScheduleDeps;
|
|
unsigned Dimension;
|
|
bool IsParallel;
|
|
|
|
Deps = isl_union_map_apply_range(Deps, isl_union_map_copy(Schedule));
|
|
Deps = isl_union_map_apply_domain(Deps, isl_union_map_copy(Schedule));
|
|
|
|
if (isl_union_map_is_empty(Deps)) {
|
|
isl_union_map_free(Deps);
|
|
return true;
|
|
}
|
|
|
|
ScheduleDeps = isl_map_from_union_map(Deps);
|
|
Dimension = isl_map_dim(ScheduleDeps, isl_dim_out) - 1;
|
|
|
|
for (unsigned i = 0; i < Dimension; i++)
|
|
ScheduleDeps = isl_map_equate(ScheduleDeps, isl_dim_out, i, isl_dim_in, i);
|
|
|
|
Deltas = isl_map_deltas(ScheduleDeps);
|
|
Distance = isl_set_universe(isl_set_get_space(Deltas));
|
|
|
|
// [0, ..., 0, +] - All zeros and last dimension larger than zero
|
|
for (unsigned i = 0; i < Dimension; i++)
|
|
Distance = isl_set_fix_si(Distance, isl_dim_set, i, 0);
|
|
|
|
Distance = isl_set_lower_bound_si(Distance, isl_dim_set, Dimension, 1);
|
|
Distance = isl_set_intersect(Distance, Deltas);
|
|
|
|
IsParallel = isl_set_is_empty(Distance);
|
|
if (IsParallel || !MinDistancePtr) {
|
|
isl_set_free(Distance);
|
|
return IsParallel;
|
|
}
|
|
|
|
Distance = isl_set_project_out(Distance, isl_dim_set, 0, Dimension);
|
|
Distance = isl_set_coalesce(Distance);
|
|
|
|
// This last step will compute a expression for the minimal value in the
|
|
// distance polyhedron Distance with regards to the first (outer most)
|
|
// dimension.
|
|
*MinDistancePtr = isl_pw_aff_coalesce(isl_set_dim_min(Distance, 0));
|
|
|
|
return false;
|
|
}
|
|
|
|
static void printDependencyMap(raw_ostream &OS, __isl_keep isl_union_map *DM) {
|
|
if (DM)
|
|
OS << DM << "\n";
|
|
else
|
|
OS << "n/a\n";
|
|
}
|
|
|
|
void Dependences::print(raw_ostream &OS) const {
|
|
OS << "\tRAW dependences:\n\t\t";
|
|
printDependencyMap(OS, RAW);
|
|
OS << "\tWAR dependences:\n\t\t";
|
|
printDependencyMap(OS, WAR);
|
|
OS << "\tWAW dependences:\n\t\t";
|
|
printDependencyMap(OS, WAW);
|
|
OS << "\tReduction dependences:\n\t\t";
|
|
printDependencyMap(OS, RED);
|
|
OS << "\tTransitive closure of reduction dependences:\n\t\t";
|
|
printDependencyMap(OS, TC_RED);
|
|
}
|
|
|
|
void Dependences::dump() const { print(dbgs()); }
|
|
|
|
void Dependences::releaseMemory() {
|
|
isl_union_map_free(RAW);
|
|
isl_union_map_free(WAR);
|
|
isl_union_map_free(WAW);
|
|
isl_union_map_free(RED);
|
|
isl_union_map_free(TC_RED);
|
|
|
|
RED = RAW = WAR = WAW = TC_RED = nullptr;
|
|
|
|
for (auto &ReductionDeps : ReductionDependences)
|
|
isl_map_free(ReductionDeps.second);
|
|
ReductionDependences.clear();
|
|
}
|
|
|
|
__isl_give isl_union_map *Dependences::getDependences(int Kinds) const {
|
|
assert(hasValidDependences() && "No valid dependences available");
|
|
isl_space *Space = isl_union_map_get_space(RAW);
|
|
isl_union_map *Deps = isl_union_map_empty(Space);
|
|
|
|
if (Kinds & TYPE_RAW)
|
|
Deps = isl_union_map_union(Deps, isl_union_map_copy(RAW));
|
|
|
|
if (Kinds & TYPE_WAR)
|
|
Deps = isl_union_map_union(Deps, isl_union_map_copy(WAR));
|
|
|
|
if (Kinds & TYPE_WAW)
|
|
Deps = isl_union_map_union(Deps, isl_union_map_copy(WAW));
|
|
|
|
if (Kinds & TYPE_RED)
|
|
Deps = isl_union_map_union(Deps, isl_union_map_copy(RED));
|
|
|
|
if (Kinds & TYPE_TC_RED)
|
|
Deps = isl_union_map_union(Deps, isl_union_map_copy(TC_RED));
|
|
|
|
Deps = isl_union_map_coalesce(Deps);
|
|
Deps = isl_union_map_detect_equalities(Deps);
|
|
return Deps;
|
|
}
|
|
|
|
bool Dependences::hasValidDependences() const {
|
|
return (RAW != nullptr) && (WAR != nullptr) && (WAW != nullptr);
|
|
}
|
|
|
|
__isl_give isl_map *
|
|
Dependences::getReductionDependences(MemoryAccess *MA) const {
|
|
return isl_map_copy(ReductionDependences.lookup(MA));
|
|
}
|
|
|
|
void Dependences::setReductionDependences(MemoryAccess *MA, isl_map *D) {
|
|
assert(ReductionDependences.count(MA) == 0 &&
|
|
"Reduction dependences set twice!");
|
|
ReductionDependences[MA] = D;
|
|
}
|
|
|
|
const Dependences &
|
|
DependenceAnalysis::Result::getDependences(Dependences::AnalysisLevel Level) {
|
|
if (Dependences *d = D[Level].get())
|
|
return *d;
|
|
|
|
return recomputeDependences(Level);
|
|
}
|
|
|
|
const Dependences &DependenceAnalysis::Result::recomputeDependences(
|
|
Dependences::AnalysisLevel Level) {
|
|
D[Level].reset(new Dependences(S.getSharedIslCtx(), Level));
|
|
D[Level]->calculateDependences(S);
|
|
return *D[Level];
|
|
}
|
|
|
|
DependenceAnalysis::Result
|
|
DependenceAnalysis::run(Scop &S, ScopAnalysisManager &SAM,
|
|
ScopStandardAnalysisResults &SAR) {
|
|
return {S, {}};
|
|
}
|
|
|
|
AnalysisKey DependenceAnalysis::Key;
|
|
|
|
PreservedAnalyses
|
|
DependenceInfoPrinterPass::run(Scop &S, ScopAnalysisManager &SAM,
|
|
ScopStandardAnalysisResults &SAR,
|
|
SPMUpdater &U) {
|
|
auto &DI = SAM.getResult<DependenceAnalysis>(S, SAR);
|
|
|
|
if (auto d = DI.D[OptAnalysisLevel].get()) {
|
|
d->print(OS);
|
|
return PreservedAnalyses::all();
|
|
}
|
|
|
|
// Otherwise create the dependences on-the-fly and print them
|
|
Dependences D(S.getSharedIslCtx(), OptAnalysisLevel);
|
|
D.calculateDependences(S);
|
|
D.print(OS);
|
|
|
|
return PreservedAnalyses::all();
|
|
}
|
|
|
|
const Dependences &
|
|
DependenceInfo::getDependences(Dependences::AnalysisLevel Level) {
|
|
if (Dependences *d = D[Level].get())
|
|
return *d;
|
|
|
|
return recomputeDependences(Level);
|
|
}
|
|
|
|
const Dependences &
|
|
DependenceInfo::recomputeDependences(Dependences::AnalysisLevel Level) {
|
|
D[Level].reset(new Dependences(S->getSharedIslCtx(), Level));
|
|
D[Level]->calculateDependences(*S);
|
|
return *D[Level];
|
|
}
|
|
|
|
bool DependenceInfo::runOnScop(Scop &ScopVar) {
|
|
S = &ScopVar;
|
|
return false;
|
|
}
|
|
|
|
/// Print the dependences for the given SCoP to @p OS.
|
|
|
|
void polly::DependenceInfo::printScop(raw_ostream &OS, Scop &S) const {
|
|
if (auto d = D[OptAnalysisLevel].get()) {
|
|
d->print(OS);
|
|
return;
|
|
}
|
|
|
|
// Otherwise create the dependences on-the-fly and print it
|
|
Dependences D(S.getSharedIslCtx(), OptAnalysisLevel);
|
|
D.calculateDependences(S);
|
|
D.print(OS);
|
|
}
|
|
|
|
void DependenceInfo::getAnalysisUsage(AnalysisUsage &AU) const {
|
|
AU.addRequiredTransitive<ScopInfoRegionPass>();
|
|
AU.setPreservesAll();
|
|
}
|
|
|
|
char DependenceInfo::ID = 0;
|
|
|
|
Pass *polly::createDependenceInfoPass() { return new DependenceInfo(); }
|
|
|
|
INITIALIZE_PASS_BEGIN(DependenceInfo, "polly-dependences",
|
|
"Polly - Calculate dependences", false, false);
|
|
INITIALIZE_PASS_DEPENDENCY(ScopInfoRegionPass);
|
|
INITIALIZE_PASS_END(DependenceInfo, "polly-dependences",
|
|
"Polly - Calculate dependences", false, false)
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
const Dependences &
|
|
DependenceInfoWrapperPass::getDependences(Scop *S,
|
|
Dependences::AnalysisLevel Level) {
|
|
auto It = ScopToDepsMap.find(S);
|
|
if (It != ScopToDepsMap.end())
|
|
if (It->second) {
|
|
if (It->second->getDependenceLevel() == Level)
|
|
return *It->second.get();
|
|
}
|
|
return recomputeDependences(S, Level);
|
|
}
|
|
|
|
const Dependences &DependenceInfoWrapperPass::recomputeDependences(
|
|
Scop *S, Dependences::AnalysisLevel Level) {
|
|
std::unique_ptr<Dependences> D(new Dependences(S->getSharedIslCtx(), Level));
|
|
D->calculateDependences(*S);
|
|
auto Inserted = ScopToDepsMap.insert(std::make_pair(S, std::move(D)));
|
|
return *Inserted.first->second;
|
|
}
|
|
|
|
bool DependenceInfoWrapperPass::runOnFunction(Function &F) {
|
|
auto &SI = *getAnalysis<ScopInfoWrapperPass>().getSI();
|
|
for (auto &It : SI) {
|
|
assert(It.second && "Invalid SCoP object!");
|
|
recomputeDependences(It.second.get(), Dependences::AL_Access);
|
|
}
|
|
return false;
|
|
}
|
|
|
|
void DependenceInfoWrapperPass::print(raw_ostream &OS, const Module *M) const {
|
|
for (auto &It : ScopToDepsMap) {
|
|
assert((It.first && It.second) && "Invalid Scop or Dependence object!\n");
|
|
It.second->print(OS);
|
|
}
|
|
}
|
|
|
|
void DependenceInfoWrapperPass::getAnalysisUsage(AnalysisUsage &AU) const {
|
|
AU.addRequiredTransitive<ScopInfoWrapperPass>();
|
|
AU.setPreservesAll();
|
|
}
|
|
|
|
char DependenceInfoWrapperPass::ID = 0;
|
|
|
|
Pass *polly::createDependenceInfoWrapperPassPass() {
|
|
return new DependenceInfoWrapperPass();
|
|
}
|
|
|
|
INITIALIZE_PASS_BEGIN(
|
|
DependenceInfoWrapperPass, "polly-function-dependences",
|
|
"Polly - Calculate dependences for all the SCoPs of a function", false,
|
|
false)
|
|
INITIALIZE_PASS_DEPENDENCY(ScopInfoWrapperPass);
|
|
INITIALIZE_PASS_END(
|
|
DependenceInfoWrapperPass, "polly-function-dependences",
|
|
"Polly - Calculate dependences for all the SCoPs of a function", false,
|
|
false)
|