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llvm-project/clang/lib/CodeGen/CGOpenMPRuntimeGPU.cpp
Matheus Izvekov 91cdd35008
[clang] Improve nested name specifier AST representation (#147835) 
This is a major change on how we represent nested name qualifications in
the AST.

* The nested name specifier itself and how it's stored is changed. The
prefixes for types are handled within the type hierarchy, which makes
canonicalization for them super cheap, no memory allocation required.
Also translating a type into nested name specifier form becomes a no-op.
An identifier is stored as a DependentNameType. The nested name
specifier gains a lightweight handle class, to be used instead of
passing around pointers, which is similar to what is implemented for
TemplateName. There is still one free bit available, and this handle can
be used within a PointerUnion and PointerIntPair, which should keep
bit-packing aficionados happy.
* The ElaboratedType node is removed, all type nodes in which it could
previously apply to can now store the elaborated keyword and name
qualifier, tail allocating when present.
* TagTypes can now point to the exact declaration found when producing
these, as opposed to the previous situation of there only existing one
TagType per entity. This increases the amount of type sugar retained,
and can have several applications, for example in tracking module
ownership, and other tools which care about source file origins, such as
IWYU. These TagTypes are lazily allocated, in order to limit the
increase in AST size.

This patch offers a great performance benefit.

It greatly improves compilation time for
[stdexec](https://github.com/NVIDIA/stdexec). For one datapoint, for
`test_on2.cpp` in that project, which is the slowest compiling test,
this patch improves `-c` compilation time by about 7.2%, with the
`-fsyntax-only` improvement being at ~12%.

This has great results on compile-time-tracker as well:

![image](https://github.com/user-attachments/assets/700dce98-2cab-4aa8-97d1-b038c0bee831)

This patch also further enables other optimziations in the future, and
will reduce the performance impact of template specialization resugaring
when that lands.

It has some other miscelaneous drive-by fixes.

About the review: Yes the patch is huge, sorry about that. Part of the
reason is that I started by the nested name specifier part, before the
ElaboratedType part, but that had a huge performance downside, as
ElaboratedType is a big performance hog. I didn't have the steam to go
back and change the patch after the fact.

There is also a lot of internal API changes, and it made sense to remove
ElaboratedType in one go, versus removing it from one type at a time, as
that would present much more churn to the users. Also, the nested name
specifier having a different API avoids missing changes related to how
prefixes work now, which could make existing code compile but not work.

How to review: The important changes are all in
`clang/include/clang/AST` and `clang/lib/AST`, with also important
changes in `clang/lib/Sema/TreeTransform.h`.

The rest and bulk of the changes are mostly consequences of the changes
in API.

PS: TagType::getDecl is renamed to `getOriginalDecl` in this patch, just
for easier to rebasing. I plan to rename it back after this lands.

Fixes #136624
Fixes https://github.com/llvm/llvm-project/issues/43179
Fixes https://github.com/llvm/llvm-project/issues/68670
Fixes https://github.com/llvm/llvm-project/issues/92757
2025-08-09 05:06:53 -03:00

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//===---- CGOpenMPRuntimeGPU.cpp - Interface to OpenMP GPU Runtimes ----===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
//
// This provides a generalized class for OpenMP runtime code generation
// specialized by GPU targets NVPTX and AMDGCN.
//
//===----------------------------------------------------------------------===//
#include "CGOpenMPRuntimeGPU.h"
#include "CGDebugInfo.h"
#include "CodeGenFunction.h"
#include "clang/AST/Attr.h"
#include "clang/AST/DeclOpenMP.h"
#include "clang/AST/OpenMPClause.h"
#include "clang/AST/StmtOpenMP.h"
#include "clang/AST/StmtVisitor.h"
#include "clang/Basic/Cuda.h"
#include "llvm/ADT/SmallPtrSet.h"
#include "llvm/Frontend/OpenMP/OMPDeviceConstants.h"
#include "llvm/Frontend/OpenMP/OMPGridValues.h"
using namespace clang;
using namespace CodeGen;
using namespace llvm::omp;
namespace {
/// Pre(post)-action for different OpenMP constructs specialized for NVPTX.
class NVPTXActionTy final : public PrePostActionTy {
llvm::FunctionCallee EnterCallee = nullptr;
ArrayRef<llvm::Value *> EnterArgs;
llvm::FunctionCallee ExitCallee = nullptr;
ArrayRef<llvm::Value *> ExitArgs;
bool Conditional = false;
llvm::BasicBlock *ContBlock = nullptr;
public:
NVPTXActionTy(llvm::FunctionCallee EnterCallee,
ArrayRef<llvm::Value *> EnterArgs,
llvm::FunctionCallee ExitCallee,
ArrayRef<llvm::Value *> ExitArgs, bool Conditional = false)
: EnterCallee(EnterCallee), EnterArgs(EnterArgs), ExitCallee(ExitCallee),
ExitArgs(ExitArgs), Conditional(Conditional) {}
void Enter(CodeGenFunction &CGF) override {
llvm::Value *EnterRes = CGF.EmitRuntimeCall(EnterCallee, EnterArgs);
if (Conditional) {
llvm::Value *CallBool = CGF.Builder.CreateIsNotNull(EnterRes);
auto *ThenBlock = CGF.createBasicBlock("omp_if.then");
ContBlock = CGF.createBasicBlock("omp_if.end");
// Generate the branch (If-stmt)
CGF.Builder.CreateCondBr(CallBool, ThenBlock, ContBlock);
CGF.EmitBlock(ThenBlock);
}
}
void Done(CodeGenFunction &CGF) {
// Emit the rest of blocks/branches
CGF.EmitBranch(ContBlock);
CGF.EmitBlock(ContBlock, true);
}
void Exit(CodeGenFunction &CGF) override {
CGF.EmitRuntimeCall(ExitCallee, ExitArgs);
}
};
/// A class to track the execution mode when codegening directives within
/// a target region. The appropriate mode (SPMD|NON-SPMD) is set on entry
/// to the target region and used by containing directives such as 'parallel'
/// to emit optimized code.
class ExecutionRuntimeModesRAII {
private:
CGOpenMPRuntimeGPU::ExecutionMode SavedExecMode =
CGOpenMPRuntimeGPU::EM_Unknown;
CGOpenMPRuntimeGPU::ExecutionMode &ExecMode;
public:
ExecutionRuntimeModesRAII(CGOpenMPRuntimeGPU::ExecutionMode &ExecMode,
CGOpenMPRuntimeGPU::ExecutionMode EntryMode)
: ExecMode(ExecMode) {
SavedExecMode = ExecMode;
ExecMode = EntryMode;
}
~ExecutionRuntimeModesRAII() { ExecMode = SavedExecMode; }
};
static const ValueDecl *getPrivateItem(const Expr *RefExpr) {
RefExpr = RefExpr->IgnoreParens();
if (const auto *ASE = dyn_cast<ArraySubscriptExpr>(RefExpr)) {
const Expr *Base = ASE->getBase()->IgnoreParenImpCasts();
while (const auto *TempASE = dyn_cast<ArraySubscriptExpr>(Base))
Base = TempASE->getBase()->IgnoreParenImpCasts();
RefExpr = Base;
} else if (auto *OASE = dyn_cast<ArraySectionExpr>(RefExpr)) {
const Expr *Base = OASE->getBase()->IgnoreParenImpCasts();
while (const auto *TempOASE = dyn_cast<ArraySectionExpr>(Base))
Base = TempOASE->getBase()->IgnoreParenImpCasts();
while (const auto *TempASE = dyn_cast<ArraySubscriptExpr>(Base))
Base = TempASE->getBase()->IgnoreParenImpCasts();
RefExpr = Base;
}
RefExpr = RefExpr->IgnoreParenImpCasts();
if (const auto *DE = dyn_cast<DeclRefExpr>(RefExpr))
return cast<ValueDecl>(DE->getDecl()->getCanonicalDecl());
const auto *ME = cast<MemberExpr>(RefExpr);
return cast<ValueDecl>(ME->getMemberDecl()->getCanonicalDecl());
}
static RecordDecl *buildRecordForGlobalizedVars(
ASTContext &C, ArrayRef<const ValueDecl *> EscapedDecls,
ArrayRef<const ValueDecl *> EscapedDeclsForTeams,
llvm::SmallDenseMap<const ValueDecl *, const FieldDecl *>
&MappedDeclsFields,
int BufSize) {
using VarsDataTy = std::pair<CharUnits /*Align*/, const ValueDecl *>;
if (EscapedDecls.empty() && EscapedDeclsForTeams.empty())
return nullptr;
SmallVector<VarsDataTy, 4> GlobalizedVars;
for (const ValueDecl *D : EscapedDecls)
GlobalizedVars.emplace_back(C.getDeclAlign(D), D);
for (const ValueDecl *D : EscapedDeclsForTeams)
GlobalizedVars.emplace_back(C.getDeclAlign(D), D);
// Build struct _globalized_locals_ty {
// /* globalized vars */[WarSize] align (decl_align)
// /* globalized vars */ for EscapedDeclsForTeams
// };
RecordDecl *GlobalizedRD = C.buildImplicitRecord("_globalized_locals_ty");
GlobalizedRD->startDefinition();
llvm::SmallPtrSet<const ValueDecl *, 16> SingleEscaped(llvm::from_range,
EscapedDeclsForTeams);
for (const auto &Pair : GlobalizedVars) {
const ValueDecl *VD = Pair.second;
QualType Type = VD->getType();
if (Type->isLValueReferenceType())
Type = C.getPointerType(Type.getNonReferenceType());
else
Type = Type.getNonReferenceType();
SourceLocation Loc = VD->getLocation();
FieldDecl *Field;
if (SingleEscaped.count(VD)) {
Field = FieldDecl::Create(
C, GlobalizedRD, Loc, Loc, VD->getIdentifier(), Type,
C.getTrivialTypeSourceInfo(Type, SourceLocation()),
/*BW=*/nullptr, /*Mutable=*/false,
/*InitStyle=*/ICIS_NoInit);
Field->setAccess(AS_public);
if (VD->hasAttrs()) {
for (specific_attr_iterator<AlignedAttr> I(VD->getAttrs().begin()),
E(VD->getAttrs().end());
I != E; ++I)
Field->addAttr(*I);
}
} else {
if (BufSize > 1) {
llvm::APInt ArraySize(32, BufSize);
Type = C.getConstantArrayType(Type, ArraySize, nullptr,
ArraySizeModifier::Normal, 0);
}
Field = FieldDecl::Create(
C, GlobalizedRD, Loc, Loc, VD->getIdentifier(), Type,
C.getTrivialTypeSourceInfo(Type, SourceLocation()),
/*BW=*/nullptr, /*Mutable=*/false,
/*InitStyle=*/ICIS_NoInit);
Field->setAccess(AS_public);
llvm::APInt Align(32, Pair.first.getQuantity());
Field->addAttr(AlignedAttr::CreateImplicit(
C, /*IsAlignmentExpr=*/true,
IntegerLiteral::Create(C, Align,
C.getIntTypeForBitwidth(32, /*Signed=*/0),
SourceLocation()),
{}, AlignedAttr::GNU_aligned));
}
GlobalizedRD->addDecl(Field);
MappedDeclsFields.try_emplace(VD, Field);
}
GlobalizedRD->completeDefinition();
return GlobalizedRD;
}
/// Get the list of variables that can escape their declaration context.
class CheckVarsEscapingDeclContext final
: public ConstStmtVisitor<CheckVarsEscapingDeclContext> {
CodeGenFunction &CGF;
llvm::SetVector<const ValueDecl *> EscapedDecls;
llvm::SetVector<const ValueDecl *> EscapedVariableLengthDecls;
llvm::SetVector<const ValueDecl *> DelayedVariableLengthDecls;
llvm::SmallPtrSet<const Decl *, 4> EscapedParameters;
RecordDecl *GlobalizedRD = nullptr;
llvm::SmallDenseMap<const ValueDecl *, const FieldDecl *> MappedDeclsFields;
bool AllEscaped = false;
bool IsForCombinedParallelRegion = false;
void markAsEscaped(const ValueDecl *VD) {
// Do not globalize declare target variables.
if (!isa<VarDecl>(VD) ||
OMPDeclareTargetDeclAttr::isDeclareTargetDeclaration(VD))
return;
VD = cast<ValueDecl>(VD->getCanonicalDecl());
// Use user-specified allocation.
if (VD->hasAttrs() && VD->hasAttr<OMPAllocateDeclAttr>())
return;
// Variables captured by value must be globalized.
bool IsCaptured = false;
if (auto *CSI = CGF.CapturedStmtInfo) {
if (const FieldDecl *FD = CSI->lookup(cast<VarDecl>(VD))) {
// Check if need to capture the variable that was already captured by
// value in the outer region.
IsCaptured = true;
if (!IsForCombinedParallelRegion) {
if (!FD->hasAttrs())
return;
const auto *Attr = FD->getAttr<OMPCaptureKindAttr>();
if (!Attr)
return;
if (((Attr->getCaptureKind() != OMPC_map) &&
!isOpenMPPrivate(Attr->getCaptureKind())) ||
((Attr->getCaptureKind() == OMPC_map) &&
!FD->getType()->isAnyPointerType()))
return;
}
if (!FD->getType()->isReferenceType()) {
assert(!VD->getType()->isVariablyModifiedType() &&
"Parameter captured by value with variably modified type");
EscapedParameters.insert(VD);
} else if (!IsForCombinedParallelRegion) {
return;
}
}
}
if ((!CGF.CapturedStmtInfo ||
(IsForCombinedParallelRegion && CGF.CapturedStmtInfo)) &&
VD->getType()->isReferenceType())
// Do not globalize variables with reference type.
return;
if (VD->getType()->isVariablyModifiedType()) {
// If not captured at the target region level then mark the escaped
// variable as delayed.
if (IsCaptured)
EscapedVariableLengthDecls.insert(VD);
else
DelayedVariableLengthDecls.insert(VD);
} else
EscapedDecls.insert(VD);
}
void VisitValueDecl(const ValueDecl *VD) {
if (VD->getType()->isLValueReferenceType())
markAsEscaped(VD);
if (const auto *VarD = dyn_cast<VarDecl>(VD)) {
if (!isa<ParmVarDecl>(VarD) && VarD->hasInit()) {
const bool SavedAllEscaped = AllEscaped;
AllEscaped = VD->getType()->isLValueReferenceType();
Visit(VarD->getInit());
AllEscaped = SavedAllEscaped;
}
}
}
void VisitOpenMPCapturedStmt(const CapturedStmt *S,
ArrayRef<OMPClause *> Clauses,
bool IsCombinedParallelRegion) {
if (!S)
return;
for (const CapturedStmt::Capture &C : S->captures()) {
if (C.capturesVariable() && !C.capturesVariableByCopy()) {
const ValueDecl *VD = C.getCapturedVar();
bool SavedIsForCombinedParallelRegion = IsForCombinedParallelRegion;
if (IsCombinedParallelRegion) {
// Check if the variable is privatized in the combined construct and
// those private copies must be shared in the inner parallel
// directive.
IsForCombinedParallelRegion = false;
for (const OMPClause *C : Clauses) {
if (!isOpenMPPrivate(C->getClauseKind()) ||
C->getClauseKind() == OMPC_reduction ||
C->getClauseKind() == OMPC_linear ||
C->getClauseKind() == OMPC_private)
continue;
ArrayRef<const Expr *> Vars;
if (const auto *PC = dyn_cast<OMPFirstprivateClause>(C))
Vars = PC->getVarRefs();
else if (const auto *PC = dyn_cast<OMPLastprivateClause>(C))
Vars = PC->getVarRefs();
else
llvm_unreachable("Unexpected clause.");
for (const auto *E : Vars) {
const Decl *D =
cast<DeclRefExpr>(E)->getDecl()->getCanonicalDecl();
if (D == VD->getCanonicalDecl()) {
IsForCombinedParallelRegion = true;
break;
}
}
if (IsForCombinedParallelRegion)
break;
}
}
markAsEscaped(VD);
if (isa<OMPCapturedExprDecl>(VD))
VisitValueDecl(VD);
IsForCombinedParallelRegion = SavedIsForCombinedParallelRegion;
}
}
}
void buildRecordForGlobalizedVars(bool IsInTTDRegion) {
assert(!GlobalizedRD &&
"Record for globalized variables is built already.");
ArrayRef<const ValueDecl *> EscapedDeclsForParallel, EscapedDeclsForTeams;
unsigned WarpSize = CGF.getTarget().getGridValue().GV_Warp_Size;
if (IsInTTDRegion)
EscapedDeclsForTeams = EscapedDecls.getArrayRef();
else
EscapedDeclsForParallel = EscapedDecls.getArrayRef();
GlobalizedRD = ::buildRecordForGlobalizedVars(
CGF.getContext(), EscapedDeclsForParallel, EscapedDeclsForTeams,
MappedDeclsFields, WarpSize);
}
public:
CheckVarsEscapingDeclContext(CodeGenFunction &CGF,
ArrayRef<const ValueDecl *> TeamsReductions)
: CGF(CGF), EscapedDecls(llvm::from_range, TeamsReductions) {}
~CheckVarsEscapingDeclContext() = default;
void VisitDeclStmt(const DeclStmt *S) {
if (!S)
return;
for (const Decl *D : S->decls())
if (const auto *VD = dyn_cast_or_null<ValueDecl>(D))
VisitValueDecl(VD);
}
void VisitOMPExecutableDirective(const OMPExecutableDirective *D) {
if (!D)
return;
if (!D->hasAssociatedStmt())
return;
if (const auto *S =
dyn_cast_or_null<CapturedStmt>(D->getAssociatedStmt())) {
// Do not analyze directives that do not actually require capturing,
// like `omp for` or `omp simd` directives.
llvm::SmallVector<OpenMPDirectiveKind, 4> CaptureRegions;
getOpenMPCaptureRegions(CaptureRegions, D->getDirectiveKind());
if (CaptureRegions.size() == 1 && CaptureRegions.back() == OMPD_unknown) {
VisitStmt(S->getCapturedStmt());
return;
}
VisitOpenMPCapturedStmt(
S, D->clauses(),
CaptureRegions.back() == OMPD_parallel &&
isOpenMPDistributeDirective(D->getDirectiveKind()));
}
}
void VisitCapturedStmt(const CapturedStmt *S) {
if (!S)
return;
for (const CapturedStmt::Capture &C : S->captures()) {
if (C.capturesVariable() && !C.capturesVariableByCopy()) {
const ValueDecl *VD = C.getCapturedVar();
markAsEscaped(VD);
if (isa<OMPCapturedExprDecl>(VD))
VisitValueDecl(VD);
}
}
}
void VisitLambdaExpr(const LambdaExpr *E) {
if (!E)
return;
for (const LambdaCapture &C : E->captures()) {
if (C.capturesVariable()) {
if (C.getCaptureKind() == LCK_ByRef) {
const ValueDecl *VD = C.getCapturedVar();
markAsEscaped(VD);
if (E->isInitCapture(&C) || isa<OMPCapturedExprDecl>(VD))
VisitValueDecl(VD);
}
}
}
}
void VisitBlockExpr(const BlockExpr *E) {
if (!E)
return;
for (const BlockDecl::Capture &C : E->getBlockDecl()->captures()) {
if (C.isByRef()) {
const VarDecl *VD = C.getVariable();
markAsEscaped(VD);
if (isa<OMPCapturedExprDecl>(VD) || VD->isInitCapture())
VisitValueDecl(VD);
}
}
}
void VisitCallExpr(const CallExpr *E) {
if (!E)
return;
for (const Expr *Arg : E->arguments()) {
if (!Arg)
continue;
if (Arg->isLValue()) {
const bool SavedAllEscaped = AllEscaped;
AllEscaped = true;
Visit(Arg);
AllEscaped = SavedAllEscaped;
} else {
Visit(Arg);
}
}
Visit(E->getCallee());
}
void VisitDeclRefExpr(const DeclRefExpr *E) {
if (!E)
return;
const ValueDecl *VD = E->getDecl();
if (AllEscaped)
markAsEscaped(VD);
if (isa<OMPCapturedExprDecl>(VD))
VisitValueDecl(VD);
else if (VD->isInitCapture())
VisitValueDecl(VD);
}
void VisitUnaryOperator(const UnaryOperator *E) {
if (!E)
return;
if (E->getOpcode() == UO_AddrOf) {
const bool SavedAllEscaped = AllEscaped;
AllEscaped = true;
Visit(E->getSubExpr());
AllEscaped = SavedAllEscaped;
} else {
Visit(E->getSubExpr());
}
}
void VisitImplicitCastExpr(const ImplicitCastExpr *E) {
if (!E)
return;
if (E->getCastKind() == CK_ArrayToPointerDecay) {
const bool SavedAllEscaped = AllEscaped;
AllEscaped = true;
Visit(E->getSubExpr());
AllEscaped = SavedAllEscaped;
} else {
Visit(E->getSubExpr());
}
}
void VisitExpr(const Expr *E) {
if (!E)
return;
bool SavedAllEscaped = AllEscaped;
if (!E->isLValue())
AllEscaped = false;
for (const Stmt *Child : E->children())
if (Child)
Visit(Child);
AllEscaped = SavedAllEscaped;
}
void VisitStmt(const Stmt *S) {
if (!S)
return;
for (const Stmt *Child : S->children())
if (Child)
Visit(Child);
}
/// Returns the record that handles all the escaped local variables and used
/// instead of their original storage.
const RecordDecl *getGlobalizedRecord(bool IsInTTDRegion) {
if (!GlobalizedRD)
buildRecordForGlobalizedVars(IsInTTDRegion);
return GlobalizedRD;
}
/// Returns the field in the globalized record for the escaped variable.
const FieldDecl *getFieldForGlobalizedVar(const ValueDecl *VD) const {
assert(GlobalizedRD &&
"Record for globalized variables must be generated already.");
return MappedDeclsFields.lookup(VD);
}
/// Returns the list of the escaped local variables/parameters.
ArrayRef<const ValueDecl *> getEscapedDecls() const {
return EscapedDecls.getArrayRef();
}
/// Checks if the escaped local variable is actually a parameter passed by
/// value.
const llvm::SmallPtrSetImpl<const Decl *> &getEscapedParameters() const {
return EscapedParameters;
}
/// Returns the list of the escaped variables with the variably modified
/// types.
ArrayRef<const ValueDecl *> getEscapedVariableLengthDecls() const {
return EscapedVariableLengthDecls.getArrayRef();
}
/// Returns the list of the delayed variables with the variably modified
/// types.
ArrayRef<const ValueDecl *> getDelayedVariableLengthDecls() const {
return DelayedVariableLengthDecls.getArrayRef();
}
};
} // anonymous namespace
CGOpenMPRuntimeGPU::ExecutionMode
CGOpenMPRuntimeGPU::getExecutionMode() const {
return CurrentExecutionMode;
}
CGOpenMPRuntimeGPU::DataSharingMode
CGOpenMPRuntimeGPU::getDataSharingMode() const {
return CurrentDataSharingMode;
}
/// Check for inner (nested) SPMD construct, if any
static bool hasNestedSPMDDirective(ASTContext &Ctx,
const OMPExecutableDirective &D) {
const auto *CS = D.getInnermostCapturedStmt();
const auto *Body =
CS->getCapturedStmt()->IgnoreContainers(/*IgnoreCaptured=*/true);
const Stmt *ChildStmt = CGOpenMPRuntime::getSingleCompoundChild(Ctx, Body);
if (const auto *NestedDir =
dyn_cast_or_null<OMPExecutableDirective>(ChildStmt)) {
OpenMPDirectiveKind DKind = NestedDir->getDirectiveKind();
switch (D.getDirectiveKind()) {
case OMPD_target:
if (isOpenMPParallelDirective(DKind))
return true;
if (DKind == OMPD_teams) {
Body = NestedDir->getInnermostCapturedStmt()->IgnoreContainers(
/*IgnoreCaptured=*/true);
if (!Body)
return false;
ChildStmt = CGOpenMPRuntime::getSingleCompoundChild(Ctx, Body);
if (const auto *NND =
dyn_cast_or_null<OMPExecutableDirective>(ChildStmt)) {
DKind = NND->getDirectiveKind();
if (isOpenMPParallelDirective(DKind))
return true;
}
}
return false;
case OMPD_target_teams:
return isOpenMPParallelDirective(DKind);
case OMPD_target_simd:
case OMPD_target_parallel:
case OMPD_target_parallel_for:
case OMPD_target_parallel_for_simd:
case OMPD_target_teams_distribute:
case OMPD_target_teams_distribute_simd:
case OMPD_target_teams_distribute_parallel_for:
case OMPD_target_teams_distribute_parallel_for_simd:
case OMPD_parallel:
case OMPD_for:
case OMPD_parallel_for:
case OMPD_parallel_master:
case OMPD_parallel_sections:
case OMPD_for_simd:
case OMPD_parallel_for_simd:
case OMPD_cancel:
case OMPD_cancellation_point:
case OMPD_ordered:
case OMPD_threadprivate:
case OMPD_allocate:
case OMPD_task:
case OMPD_simd:
case OMPD_sections:
case OMPD_section:
case OMPD_single:
case OMPD_master:
case OMPD_critical:
case OMPD_taskyield:
case OMPD_barrier:
case OMPD_taskwait:
case OMPD_taskgroup:
case OMPD_atomic:
case OMPD_flush:
case OMPD_depobj:
case OMPD_scan:
case OMPD_teams:
case OMPD_target_data:
case OMPD_target_exit_data:
case OMPD_target_enter_data:
case OMPD_distribute:
case OMPD_distribute_simd:
case OMPD_distribute_parallel_for:
case OMPD_distribute_parallel_for_simd:
case OMPD_teams_distribute:
case OMPD_teams_distribute_simd:
case OMPD_teams_distribute_parallel_for:
case OMPD_teams_distribute_parallel_for_simd:
case OMPD_target_update:
case OMPD_declare_simd:
case OMPD_declare_variant:
case OMPD_begin_declare_variant:
case OMPD_end_declare_variant:
case OMPD_declare_target:
case OMPD_end_declare_target:
case OMPD_declare_reduction:
case OMPD_declare_mapper:
case OMPD_taskloop:
case OMPD_taskloop_simd:
case OMPD_master_taskloop:
case OMPD_master_taskloop_simd:
case OMPD_parallel_master_taskloop:
case OMPD_parallel_master_taskloop_simd:
case OMPD_requires:
case OMPD_unknown:
default:
llvm_unreachable("Unexpected directive.");
}
}
return false;
}
static bool supportsSPMDExecutionMode(ASTContext &Ctx,
const OMPExecutableDirective &D) {
OpenMPDirectiveKind DirectiveKind = D.getDirectiveKind();
switch (DirectiveKind) {
case OMPD_target:
case OMPD_target_teams:
return hasNestedSPMDDirective(Ctx, D);
case OMPD_target_parallel_loop:
case OMPD_target_parallel:
case OMPD_target_parallel_for:
case OMPD_target_parallel_for_simd:
case OMPD_target_teams_distribute_parallel_for:
case OMPD_target_teams_distribute_parallel_for_simd:
case OMPD_target_simd:
case OMPD_target_teams_distribute_simd:
return true;
case OMPD_target_teams_distribute:
return false;
case OMPD_target_teams_loop:
// Whether this is true or not depends on how the directive will
// eventually be emitted.
if (auto *TTLD = dyn_cast<OMPTargetTeamsGenericLoopDirective>(&D))
return TTLD->canBeParallelFor();
return false;
case OMPD_parallel:
case OMPD_for:
case OMPD_parallel_for:
case OMPD_parallel_master:
case OMPD_parallel_sections:
case OMPD_for_simd:
case OMPD_parallel_for_simd:
case OMPD_cancel:
case OMPD_cancellation_point:
case OMPD_ordered:
case OMPD_threadprivate:
case OMPD_allocate:
case OMPD_task:
case OMPD_simd:
case OMPD_sections:
case OMPD_section:
case OMPD_single:
case OMPD_master:
case OMPD_critical:
case OMPD_taskyield:
case OMPD_barrier:
case OMPD_taskwait:
case OMPD_taskgroup:
case OMPD_atomic:
case OMPD_flush:
case OMPD_depobj:
case OMPD_scan:
case OMPD_teams:
case OMPD_target_data:
case OMPD_target_exit_data:
case OMPD_target_enter_data:
case OMPD_distribute:
case OMPD_distribute_simd:
case OMPD_distribute_parallel_for:
case OMPD_distribute_parallel_for_simd:
case OMPD_teams_distribute:
case OMPD_teams_distribute_simd:
case OMPD_teams_distribute_parallel_for:
case OMPD_teams_distribute_parallel_for_simd:
case OMPD_target_update:
case OMPD_declare_simd:
case OMPD_declare_variant:
case OMPD_begin_declare_variant:
case OMPD_end_declare_variant:
case OMPD_declare_target:
case OMPD_end_declare_target:
case OMPD_declare_reduction:
case OMPD_declare_mapper:
case OMPD_taskloop:
case OMPD_taskloop_simd:
case OMPD_master_taskloop:
case OMPD_master_taskloop_simd:
case OMPD_parallel_master_taskloop:
case OMPD_parallel_master_taskloop_simd:
case OMPD_requires:
case OMPD_unknown:
default:
break;
}
llvm_unreachable(
"Unknown programming model for OpenMP directive on NVPTX target.");
}
void CGOpenMPRuntimeGPU::emitNonSPMDKernel(const OMPExecutableDirective &D,
StringRef ParentName,
llvm::Function *&OutlinedFn,
llvm::Constant *&OutlinedFnID,
bool IsOffloadEntry,
const RegionCodeGenTy &CodeGen) {
ExecutionRuntimeModesRAII ModeRAII(CurrentExecutionMode, EM_NonSPMD);
EntryFunctionState EST;
WrapperFunctionsMap.clear();
[[maybe_unused]] bool IsBareKernel = D.getSingleClause<OMPXBareClause>();
assert(!IsBareKernel && "bare kernel should not be at generic mode");
// Emit target region as a standalone region.
class NVPTXPrePostActionTy : public PrePostActionTy {
CGOpenMPRuntimeGPU::EntryFunctionState &EST;
const OMPExecutableDirective &D;
public:
NVPTXPrePostActionTy(CGOpenMPRuntimeGPU::EntryFunctionState &EST,
const OMPExecutableDirective &D)
: EST(EST), D(D) {}
void Enter(CodeGenFunction &CGF) override {
auto &RT = static_cast<CGOpenMPRuntimeGPU &>(CGF.CGM.getOpenMPRuntime());
RT.emitKernelInit(D, CGF, EST, /* IsSPMD */ false);
// Skip target region initialization.
RT.setLocThreadIdInsertPt(CGF, /*AtCurrentPoint=*/true);
}
void Exit(CodeGenFunction &CGF) override {
auto &RT = static_cast<CGOpenMPRuntimeGPU &>(CGF.CGM.getOpenMPRuntime());
RT.clearLocThreadIdInsertPt(CGF);
RT.emitKernelDeinit(CGF, EST, /* IsSPMD */ false);
}
} Action(EST, D);
CodeGen.setAction(Action);
IsInTTDRegion = true;
emitTargetOutlinedFunctionHelper(D, ParentName, OutlinedFn, OutlinedFnID,
IsOffloadEntry, CodeGen);
IsInTTDRegion = false;
}
void CGOpenMPRuntimeGPU::emitKernelInit(const OMPExecutableDirective &D,
CodeGenFunction &CGF,
EntryFunctionState &EST, bool IsSPMD) {
llvm::OpenMPIRBuilder::TargetKernelDefaultAttrs Attrs;
Attrs.ExecFlags =
IsSPMD ? llvm::omp::OMPTgtExecModeFlags::OMP_TGT_EXEC_MODE_SPMD
: llvm::omp::OMPTgtExecModeFlags::OMP_TGT_EXEC_MODE_GENERIC;
computeMinAndMaxThreadsAndTeams(D, CGF, Attrs);
CGBuilderTy &Bld = CGF.Builder;
Bld.restoreIP(OMPBuilder.createTargetInit(Bld, Attrs));
if (!IsSPMD)
emitGenericVarsProlog(CGF, EST.Loc);
}
void CGOpenMPRuntimeGPU::emitKernelDeinit(CodeGenFunction &CGF,
EntryFunctionState &EST,
bool IsSPMD) {
if (!IsSPMD)
emitGenericVarsEpilog(CGF);
// This is temporary until we remove the fixed sized buffer.
ASTContext &C = CGM.getContext();
RecordDecl *StaticRD = C.buildImplicitRecord(
"_openmp_teams_reduction_type_$_", RecordDecl::TagKind::Union);
StaticRD->startDefinition();
for (const RecordDecl *TeamReductionRec : TeamsReductions) {
CanQualType RecTy = C.getCanonicalTagType(TeamReductionRec);
auto *Field = FieldDecl::Create(
C, StaticRD, SourceLocation(), SourceLocation(), nullptr, RecTy,
C.getTrivialTypeSourceInfo(RecTy, SourceLocation()),
/*BW=*/nullptr, /*Mutable=*/false,
/*InitStyle=*/ICIS_NoInit);
Field->setAccess(AS_public);
StaticRD->addDecl(Field);
}
StaticRD->completeDefinition();
CanQualType StaticTy = C.getCanonicalTagType(StaticRD);
llvm::Type *LLVMReductionsBufferTy =
CGM.getTypes().ConvertTypeForMem(StaticTy);
const auto &DL = CGM.getModule().getDataLayout();
uint64_t ReductionDataSize =
TeamsReductions.empty()
? 0
: DL.getTypeAllocSize(LLVMReductionsBufferTy).getFixedValue();
CGBuilderTy &Bld = CGF.Builder;
OMPBuilder.createTargetDeinit(Bld, ReductionDataSize,
C.getLangOpts().OpenMPCUDAReductionBufNum);
TeamsReductions.clear();
}
void CGOpenMPRuntimeGPU::emitSPMDKernel(const OMPExecutableDirective &D,
StringRef ParentName,
llvm::Function *&OutlinedFn,
llvm::Constant *&OutlinedFnID,
bool IsOffloadEntry,
const RegionCodeGenTy &CodeGen) {
ExecutionRuntimeModesRAII ModeRAII(CurrentExecutionMode, EM_SPMD);
EntryFunctionState EST;
bool IsBareKernel = D.getSingleClause<OMPXBareClause>();
// Emit target region as a standalone region.
class NVPTXPrePostActionTy : public PrePostActionTy {
CGOpenMPRuntimeGPU &RT;
CGOpenMPRuntimeGPU::EntryFunctionState &EST;
bool IsBareKernel;
DataSharingMode Mode;
const OMPExecutableDirective &D;
public:
NVPTXPrePostActionTy(CGOpenMPRuntimeGPU &RT,
CGOpenMPRuntimeGPU::EntryFunctionState &EST,
bool IsBareKernel, const OMPExecutableDirective &D)
: RT(RT), EST(EST), IsBareKernel(IsBareKernel),
Mode(RT.CurrentDataSharingMode), D(D) {}
void Enter(CodeGenFunction &CGF) override {
if (IsBareKernel) {
RT.CurrentDataSharingMode = DataSharingMode::DS_CUDA;
return;
}
RT.emitKernelInit(D, CGF, EST, /* IsSPMD */ true);
// Skip target region initialization.
RT.setLocThreadIdInsertPt(CGF, /*AtCurrentPoint=*/true);
}
void Exit(CodeGenFunction &CGF) override {
if (IsBareKernel) {
RT.CurrentDataSharingMode = Mode;
return;
}
RT.clearLocThreadIdInsertPt(CGF);
RT.emitKernelDeinit(CGF, EST, /* IsSPMD */ true);
}
} Action(*this, EST, IsBareKernel, D);
CodeGen.setAction(Action);
IsInTTDRegion = true;
emitTargetOutlinedFunctionHelper(D, ParentName, OutlinedFn, OutlinedFnID,
IsOffloadEntry, CodeGen);
IsInTTDRegion = false;
}
void CGOpenMPRuntimeGPU::emitTargetOutlinedFunction(
const OMPExecutableDirective &D, StringRef ParentName,
llvm::Function *&OutlinedFn, llvm::Constant *&OutlinedFnID,
bool IsOffloadEntry, const RegionCodeGenTy &CodeGen) {
if (!IsOffloadEntry) // Nothing to do.
return;
assert(!ParentName.empty() && "Invalid target region parent name!");
bool Mode = supportsSPMDExecutionMode(CGM.getContext(), D);
bool IsBareKernel = D.getSingleClause<OMPXBareClause>();
if (Mode || IsBareKernel)
emitSPMDKernel(D, ParentName, OutlinedFn, OutlinedFnID, IsOffloadEntry,
CodeGen);
else
emitNonSPMDKernel(D, ParentName, OutlinedFn, OutlinedFnID, IsOffloadEntry,
CodeGen);
}
CGOpenMPRuntimeGPU::CGOpenMPRuntimeGPU(CodeGenModule &CGM)
: CGOpenMPRuntime(CGM) {
llvm::OpenMPIRBuilderConfig Config(
CGM.getLangOpts().OpenMPIsTargetDevice, isGPU(),
CGM.getLangOpts().OpenMPOffloadMandatory,
/*HasRequiresReverseOffload*/ false, /*HasRequiresUnifiedAddress*/ false,
hasRequiresUnifiedSharedMemory(), /*HasRequiresDynamicAllocators*/ false);
OMPBuilder.setConfig(Config);
if (!CGM.getLangOpts().OpenMPIsTargetDevice)
llvm_unreachable("OpenMP can only handle device code.");
if (CGM.getLangOpts().OpenMPCUDAMode)
CurrentDataSharingMode = CGOpenMPRuntimeGPU::DS_CUDA;
llvm::OpenMPIRBuilder &OMPBuilder = getOMPBuilder();
if (CGM.getLangOpts().NoGPULib || CGM.getLangOpts().OMPHostIRFile.empty())
return;
OMPBuilder.createGlobalFlag(CGM.getLangOpts().OpenMPTargetDebug,
"__omp_rtl_debug_kind");
OMPBuilder.createGlobalFlag(CGM.getLangOpts().OpenMPTeamSubscription,
"__omp_rtl_assume_teams_oversubscription");
OMPBuilder.createGlobalFlag(CGM.getLangOpts().OpenMPThreadSubscription,
"__omp_rtl_assume_threads_oversubscription");
OMPBuilder.createGlobalFlag(CGM.getLangOpts().OpenMPNoThreadState,
"__omp_rtl_assume_no_thread_state");
OMPBuilder.createGlobalFlag(CGM.getLangOpts().OpenMPNoNestedParallelism,
"__omp_rtl_assume_no_nested_parallelism");
}
void CGOpenMPRuntimeGPU::emitProcBindClause(CodeGenFunction &CGF,
ProcBindKind ProcBind,
SourceLocation Loc) {
// Nothing to do.
}
void CGOpenMPRuntimeGPU::emitNumThreadsClause(CodeGenFunction &CGF,
llvm::Value *NumThreads,
SourceLocation Loc) {
// Nothing to do.
}
void CGOpenMPRuntimeGPU::emitNumTeamsClause(CodeGenFunction &CGF,
const Expr *NumTeams,
const Expr *ThreadLimit,
SourceLocation Loc) {}
llvm::Function *CGOpenMPRuntimeGPU::emitParallelOutlinedFunction(
CodeGenFunction &CGF, const OMPExecutableDirective &D,
const VarDecl *ThreadIDVar, OpenMPDirectiveKind InnermostKind,
const RegionCodeGenTy &CodeGen) {
// Emit target region as a standalone region.
bool PrevIsInTTDRegion = IsInTTDRegion;
IsInTTDRegion = false;
auto *OutlinedFun =
cast<llvm::Function>(CGOpenMPRuntime::emitParallelOutlinedFunction(
CGF, D, ThreadIDVar, InnermostKind, CodeGen));
IsInTTDRegion = PrevIsInTTDRegion;
if (getExecutionMode() != CGOpenMPRuntimeGPU::EM_SPMD) {
llvm::Function *WrapperFun =
createParallelDataSharingWrapper(OutlinedFun, D);
WrapperFunctionsMap[OutlinedFun] = WrapperFun;
}
return OutlinedFun;
}
/// Get list of lastprivate variables from the teams distribute ... or
/// teams {distribute ...} directives.
static void
getDistributeLastprivateVars(ASTContext &Ctx, const OMPExecutableDirective &D,
llvm::SmallVectorImpl<const ValueDecl *> &Vars) {
assert(isOpenMPTeamsDirective(D.getDirectiveKind()) &&
"expected teams directive.");
const OMPExecutableDirective *Dir = &D;
if (!isOpenMPDistributeDirective(D.getDirectiveKind())) {
if (const Stmt *S = CGOpenMPRuntime::getSingleCompoundChild(
Ctx,
D.getInnermostCapturedStmt()->getCapturedStmt()->IgnoreContainers(
/*IgnoreCaptured=*/true))) {
Dir = dyn_cast_or_null<OMPExecutableDirective>(S);
if (Dir && !isOpenMPDistributeDirective(Dir->getDirectiveKind()))
Dir = nullptr;
}
}
if (!Dir)
return;
for (const auto *C : Dir->getClausesOfKind<OMPLastprivateClause>()) {
for (const Expr *E : C->getVarRefs())
Vars.push_back(getPrivateItem(E));
}
}
/// Get list of reduction variables from the teams ... directives.
static void
getTeamsReductionVars(ASTContext &Ctx, const OMPExecutableDirective &D,
llvm::SmallVectorImpl<const ValueDecl *> &Vars) {
assert(isOpenMPTeamsDirective(D.getDirectiveKind()) &&
"expected teams directive.");
for (const auto *C : D.getClausesOfKind<OMPReductionClause>()) {
for (const Expr *E : C->privates())
Vars.push_back(getPrivateItem(E));
}
}
llvm::Function *CGOpenMPRuntimeGPU::emitTeamsOutlinedFunction(
CodeGenFunction &CGF, const OMPExecutableDirective &D,
const VarDecl *ThreadIDVar, OpenMPDirectiveKind InnermostKind,
const RegionCodeGenTy &CodeGen) {
SourceLocation Loc = D.getBeginLoc();
const RecordDecl *GlobalizedRD = nullptr;
llvm::SmallVector<const ValueDecl *, 4> LastPrivatesReductions;
llvm::SmallDenseMap<const ValueDecl *, const FieldDecl *> MappedDeclsFields;
unsigned WarpSize = CGM.getTarget().getGridValue().GV_Warp_Size;
// Globalize team reductions variable unconditionally in all modes.
if (getExecutionMode() != CGOpenMPRuntimeGPU::EM_SPMD)
getTeamsReductionVars(CGM.getContext(), D, LastPrivatesReductions);
if (getExecutionMode() == CGOpenMPRuntimeGPU::EM_SPMD) {
getDistributeLastprivateVars(CGM.getContext(), D, LastPrivatesReductions);
if (!LastPrivatesReductions.empty()) {
GlobalizedRD = ::buildRecordForGlobalizedVars(
CGM.getContext(), {}, LastPrivatesReductions, MappedDeclsFields,
WarpSize);
}
} else if (!LastPrivatesReductions.empty()) {
assert(!TeamAndReductions.first &&
"Previous team declaration is not expected.");
TeamAndReductions.first = D.getCapturedStmt(OMPD_teams)->getCapturedDecl();
std::swap(TeamAndReductions.second, LastPrivatesReductions);
}
// Emit target region as a standalone region.
class NVPTXPrePostActionTy : public PrePostActionTy {
SourceLocation &Loc;
const RecordDecl *GlobalizedRD;
llvm::SmallDenseMap<const ValueDecl *, const FieldDecl *>
&MappedDeclsFields;
public:
NVPTXPrePostActionTy(
SourceLocation &Loc, const RecordDecl *GlobalizedRD,
llvm::SmallDenseMap<const ValueDecl *, const FieldDecl *>
&MappedDeclsFields)
: Loc(Loc), GlobalizedRD(GlobalizedRD),
MappedDeclsFields(MappedDeclsFields) {}
void Enter(CodeGenFunction &CGF) override {
auto &Rt =
static_cast<CGOpenMPRuntimeGPU &>(CGF.CGM.getOpenMPRuntime());
if (GlobalizedRD) {
auto I = Rt.FunctionGlobalizedDecls.try_emplace(CGF.CurFn).first;
I->getSecond().MappedParams =
std::make_unique<CodeGenFunction::OMPMapVars>();
DeclToAddrMapTy &Data = I->getSecond().LocalVarData;
for (const auto &Pair : MappedDeclsFields) {
assert(Pair.getFirst()->isCanonicalDecl() &&
"Expected canonical declaration");
Data.try_emplace(Pair.getFirst());
}
}
Rt.emitGenericVarsProlog(CGF, Loc);
}
void Exit(CodeGenFunction &CGF) override {
static_cast<CGOpenMPRuntimeGPU &>(CGF.CGM.getOpenMPRuntime())
.emitGenericVarsEpilog(CGF);
}
} Action(Loc, GlobalizedRD, MappedDeclsFields);
CodeGen.setAction(Action);
llvm::Function *OutlinedFun = CGOpenMPRuntime::emitTeamsOutlinedFunction(
CGF, D, ThreadIDVar, InnermostKind, CodeGen);
return OutlinedFun;
}
void CGOpenMPRuntimeGPU::emitGenericVarsProlog(CodeGenFunction &CGF,
SourceLocation Loc) {
if (getDataSharingMode() != CGOpenMPRuntimeGPU::DS_Generic)
return;
CGBuilderTy &Bld = CGF.Builder;
const auto I = FunctionGlobalizedDecls.find(CGF.CurFn);
if (I == FunctionGlobalizedDecls.end())
return;
for (auto &Rec : I->getSecond().LocalVarData) {
const auto *VD = cast<VarDecl>(Rec.first);
bool EscapedParam = I->getSecond().EscapedParameters.count(Rec.first);
QualType VarTy = VD->getType();
// Get the local allocation of a firstprivate variable before sharing
llvm::Value *ParValue;
if (EscapedParam) {
LValue ParLVal =
CGF.MakeAddrLValue(CGF.GetAddrOfLocalVar(VD), VD->getType());
ParValue = CGF.EmitLoadOfScalar(ParLVal, Loc);
}
// Allocate space for the variable to be globalized
llvm::Value *AllocArgs[] = {CGF.getTypeSize(VD->getType())};
llvm::CallBase *VoidPtr =
CGF.EmitRuntimeCall(OMPBuilder.getOrCreateRuntimeFunction(
CGM.getModule(), OMPRTL___kmpc_alloc_shared),
AllocArgs, VD->getName());
// FIXME: We should use the variables actual alignment as an argument.
VoidPtr->addRetAttr(llvm::Attribute::get(
CGM.getLLVMContext(), llvm::Attribute::Alignment,
CGM.getContext().getTargetInfo().getNewAlign() / 8));
// Cast the void pointer and get the address of the globalized variable.
llvm::Value *CastedVoidPtr = Bld.CreatePointerBitCastOrAddrSpaceCast(
VoidPtr, Bld.getPtrTy(0), VD->getName() + "_on_stack");
LValue VarAddr =
CGF.MakeNaturalAlignPointeeRawAddrLValue(CastedVoidPtr, VarTy);
Rec.second.PrivateAddr = VarAddr.getAddress();
Rec.second.GlobalizedVal = VoidPtr;
// Assign the local allocation to the newly globalized location.
if (EscapedParam) {
CGF.EmitStoreOfScalar(ParValue, VarAddr);
I->getSecond().MappedParams->setVarAddr(CGF, VD, VarAddr.getAddress());
}
if (auto *DI = CGF.getDebugInfo())
VoidPtr->setDebugLoc(DI->SourceLocToDebugLoc(VD->getLocation()));
}
for (const auto *ValueD : I->getSecond().EscapedVariableLengthDecls) {
const auto *VD = cast<VarDecl>(ValueD);
std::pair<llvm::Value *, llvm::Value *> AddrSizePair =
getKmpcAllocShared(CGF, VD);
I->getSecond().EscapedVariableLengthDeclsAddrs.emplace_back(AddrSizePair);
LValue Base = CGF.MakeAddrLValue(AddrSizePair.first, VD->getType(),
CGM.getContext().getDeclAlign(VD),
AlignmentSource::Decl);
I->getSecond().MappedParams->setVarAddr(CGF, VD, Base.getAddress());
}
I->getSecond().MappedParams->apply(CGF);
}
bool CGOpenMPRuntimeGPU::isDelayedVariableLengthDecl(CodeGenFunction &CGF,
const VarDecl *VD) const {
const auto I = FunctionGlobalizedDecls.find(CGF.CurFn);
if (I == FunctionGlobalizedDecls.end())
return false;
// Check variable declaration is delayed:
return llvm::is_contained(I->getSecond().DelayedVariableLengthDecls, VD);
}
std::pair<llvm::Value *, llvm::Value *>
CGOpenMPRuntimeGPU::getKmpcAllocShared(CodeGenFunction &CGF,
const VarDecl *VD) {
CGBuilderTy &Bld = CGF.Builder;
// Compute size and alignment.
llvm::Value *Size = CGF.getTypeSize(VD->getType());
CharUnits Align = CGM.getContext().getDeclAlign(VD);
Size = Bld.CreateNUWAdd(
Size, llvm::ConstantInt::get(CGF.SizeTy, Align.getQuantity() - 1));
llvm::Value *AlignVal =
llvm::ConstantInt::get(CGF.SizeTy, Align.getQuantity());
Size = Bld.CreateUDiv(Size, AlignVal);
Size = Bld.CreateNUWMul(Size, AlignVal);
// Allocate space for this VLA object to be globalized.
llvm::Value *AllocArgs[] = {Size};
llvm::CallBase *VoidPtr =
CGF.EmitRuntimeCall(OMPBuilder.getOrCreateRuntimeFunction(
CGM.getModule(), OMPRTL___kmpc_alloc_shared),
AllocArgs, VD->getName());
VoidPtr->addRetAttr(llvm::Attribute::get(
CGM.getLLVMContext(), llvm::Attribute::Alignment, Align.getQuantity()));
return std::make_pair(VoidPtr, Size);
}
void CGOpenMPRuntimeGPU::getKmpcFreeShared(
CodeGenFunction &CGF,
const std::pair<llvm::Value *, llvm::Value *> &AddrSizePair) {
// Deallocate the memory for each globalized VLA object
CGF.EmitRuntimeCall(OMPBuilder.getOrCreateRuntimeFunction(
CGM.getModule(), OMPRTL___kmpc_free_shared),
{AddrSizePair.first, AddrSizePair.second});
}
void CGOpenMPRuntimeGPU::emitGenericVarsEpilog(CodeGenFunction &CGF) {
if (getDataSharingMode() != CGOpenMPRuntimeGPU::DS_Generic)
return;
const auto I = FunctionGlobalizedDecls.find(CGF.CurFn);
if (I != FunctionGlobalizedDecls.end()) {
// Deallocate the memory for each globalized VLA object that was
// globalized in the prolog (i.e. emitGenericVarsProlog).
for (const auto &AddrSizePair :
llvm::reverse(I->getSecond().EscapedVariableLengthDeclsAddrs)) {
CGF.EmitRuntimeCall(OMPBuilder.getOrCreateRuntimeFunction(
CGM.getModule(), OMPRTL___kmpc_free_shared),
{AddrSizePair.first, AddrSizePair.second});
}
// Deallocate the memory for each globalized value
for (auto &Rec : llvm::reverse(I->getSecond().LocalVarData)) {
const auto *VD = cast<VarDecl>(Rec.first);
I->getSecond().MappedParams->restore(CGF);
llvm::Value *FreeArgs[] = {Rec.second.GlobalizedVal,
CGF.getTypeSize(VD->getType())};
CGF.EmitRuntimeCall(OMPBuilder.getOrCreateRuntimeFunction(
CGM.getModule(), OMPRTL___kmpc_free_shared),
FreeArgs);
}
}
}
void CGOpenMPRuntimeGPU::emitTeamsCall(CodeGenFunction &CGF,
const OMPExecutableDirective &D,
SourceLocation Loc,
llvm::Function *OutlinedFn,
ArrayRef<llvm::Value *> CapturedVars) {
if (!CGF.HaveInsertPoint())
return;
bool IsBareKernel = D.getSingleClause<OMPXBareClause>();
RawAddress ZeroAddr = CGF.CreateDefaultAlignTempAlloca(CGF.Int32Ty,
/*Name=*/".zero.addr");
CGF.Builder.CreateStore(CGF.Builder.getInt32(/*C*/ 0), ZeroAddr);
llvm::SmallVector<llvm::Value *, 16> OutlinedFnArgs;
// We don't emit any thread id function call in bare kernel, but because the
// outlined function has a pointer argument, we emit a nullptr here.
if (IsBareKernel)
OutlinedFnArgs.push_back(llvm::ConstantPointerNull::get(CGM.VoidPtrTy));
else
OutlinedFnArgs.push_back(emitThreadIDAddress(CGF, Loc).emitRawPointer(CGF));
OutlinedFnArgs.push_back(ZeroAddr.getPointer());
OutlinedFnArgs.append(CapturedVars.begin(), CapturedVars.end());
emitOutlinedFunctionCall(CGF, Loc, OutlinedFn, OutlinedFnArgs);
}
void CGOpenMPRuntimeGPU::emitParallelCall(CodeGenFunction &CGF,
SourceLocation Loc,
llvm::Function *OutlinedFn,
ArrayRef<llvm::Value *> CapturedVars,
const Expr *IfCond,
llvm::Value *NumThreads) {
if (!CGF.HaveInsertPoint())
return;
auto &&ParallelGen = [this, Loc, OutlinedFn, CapturedVars, IfCond,
NumThreads](CodeGenFunction &CGF,
PrePostActionTy &Action) {
CGBuilderTy &Bld = CGF.Builder;
llvm::Value *NumThreadsVal = NumThreads;
llvm::Function *WFn = WrapperFunctionsMap[OutlinedFn];
llvm::Value *ID = llvm::ConstantPointerNull::get(CGM.Int8PtrTy);
if (WFn)
ID = Bld.CreateBitOrPointerCast(WFn, CGM.Int8PtrTy);
llvm::Value *FnPtr = Bld.CreateBitOrPointerCast(OutlinedFn, CGM.Int8PtrTy);
// Create a private scope that will globalize the arguments
// passed from the outside of the target region.
// TODO: Is that needed?
CodeGenFunction::OMPPrivateScope PrivateArgScope(CGF);
Address CapturedVarsAddrs = CGF.CreateDefaultAlignTempAlloca(
llvm::ArrayType::get(CGM.VoidPtrTy, CapturedVars.size()),
"captured_vars_addrs");
// There's something to share.
if (!CapturedVars.empty()) {
// Prepare for parallel region. Indicate the outlined function.
ASTContext &Ctx = CGF.getContext();
unsigned Idx = 0;
for (llvm::Value *V : CapturedVars) {
Address Dst = Bld.CreateConstArrayGEP(CapturedVarsAddrs, Idx);
llvm::Value *PtrV;
if (V->getType()->isIntegerTy())
PtrV = Bld.CreateIntToPtr(V, CGF.VoidPtrTy);
else
PtrV = Bld.CreatePointerBitCastOrAddrSpaceCast(V, CGF.VoidPtrTy);
CGF.EmitStoreOfScalar(PtrV, Dst, /*Volatile=*/false,
Ctx.getPointerType(Ctx.VoidPtrTy));
++Idx;
}
}
llvm::Value *IfCondVal = nullptr;
if (IfCond)
IfCondVal = Bld.CreateIntCast(CGF.EvaluateExprAsBool(IfCond), CGF.Int32Ty,
/* isSigned */ false);
else
IfCondVal = llvm::ConstantInt::get(CGF.Int32Ty, 1);
if (!NumThreadsVal)
NumThreadsVal = llvm::ConstantInt::get(CGF.Int32Ty, -1);
else
NumThreadsVal = Bld.CreateZExtOrTrunc(NumThreadsVal, CGF.Int32Ty);
assert(IfCondVal && "Expected a value");
llvm::Value *RTLoc = emitUpdateLocation(CGF, Loc);
llvm::Value *Args[] = {
RTLoc,
getThreadID(CGF, Loc),
IfCondVal,
NumThreadsVal,
llvm::ConstantInt::get(CGF.Int32Ty, -1),
FnPtr,
ID,
Bld.CreateBitOrPointerCast(CapturedVarsAddrs.emitRawPointer(CGF),
CGF.VoidPtrPtrTy),
llvm::ConstantInt::get(CGM.SizeTy, CapturedVars.size())};
CGF.EmitRuntimeCall(OMPBuilder.getOrCreateRuntimeFunction(
CGM.getModule(), OMPRTL___kmpc_parallel_51),
Args);
};
RegionCodeGenTy RCG(ParallelGen);
RCG(CGF);
}
void CGOpenMPRuntimeGPU::syncCTAThreads(CodeGenFunction &CGF) {
// Always emit simple barriers!
if (!CGF.HaveInsertPoint())
return;
// Build call __kmpc_barrier_simple_spmd(nullptr, 0);
// This function does not use parameters, so we can emit just default values.
llvm::Value *Args[] = {
llvm::ConstantPointerNull::get(
cast<llvm::PointerType>(getIdentTyPointerTy())),
llvm::ConstantInt::get(CGF.Int32Ty, /*V=*/0, /*isSigned=*/true)};
CGF.EmitRuntimeCall(OMPBuilder.getOrCreateRuntimeFunction(
CGM.getModule(), OMPRTL___kmpc_barrier_simple_spmd),
Args);
}
void CGOpenMPRuntimeGPU::emitBarrierCall(CodeGenFunction &CGF,
SourceLocation Loc,
OpenMPDirectiveKind Kind, bool,
bool) {
// Always emit simple barriers!
if (!CGF.HaveInsertPoint())
return;
// Build call __kmpc_cancel_barrier(loc, thread_id);
unsigned Flags = getDefaultFlagsForBarriers(Kind);
llvm::Value *Args[] = {emitUpdateLocation(CGF, Loc, Flags),
getThreadID(CGF, Loc)};
CGF.EmitRuntimeCall(OMPBuilder.getOrCreateRuntimeFunction(
CGM.getModule(), OMPRTL___kmpc_barrier),
Args);
}
void CGOpenMPRuntimeGPU::emitCriticalRegion(
CodeGenFunction &CGF, StringRef CriticalName,
const RegionCodeGenTy &CriticalOpGen, SourceLocation Loc,
const Expr *Hint) {
llvm::BasicBlock *LoopBB = CGF.createBasicBlock("omp.critical.loop");
llvm::BasicBlock *TestBB = CGF.createBasicBlock("omp.critical.test");
llvm::BasicBlock *SyncBB = CGF.createBasicBlock("omp.critical.sync");
llvm::BasicBlock *BodyBB = CGF.createBasicBlock("omp.critical.body");
llvm::BasicBlock *ExitBB = CGF.createBasicBlock("omp.critical.exit");
auto &RT = static_cast<CGOpenMPRuntimeGPU &>(CGF.CGM.getOpenMPRuntime());
// Get the mask of active threads in the warp.
llvm::Value *Mask = CGF.EmitRuntimeCall(OMPBuilder.getOrCreateRuntimeFunction(
CGM.getModule(), OMPRTL___kmpc_warp_active_thread_mask));
// Fetch team-local id of the thread.
llvm::Value *ThreadID = RT.getGPUThreadID(CGF);
// Get the width of the team.
llvm::Value *TeamWidth = RT.getGPUNumThreads(CGF);
// Initialize the counter variable for the loop.
QualType Int32Ty =
CGF.getContext().getIntTypeForBitwidth(/*DestWidth=*/32, /*Signed=*/0);
Address Counter = CGF.CreateMemTemp(Int32Ty, "critical_counter");
LValue CounterLVal = CGF.MakeAddrLValue(Counter, Int32Ty);
CGF.EmitStoreOfScalar(llvm::Constant::getNullValue(CGM.Int32Ty), CounterLVal,
/*isInit=*/true);
// Block checks if loop counter exceeds upper bound.
CGF.EmitBlock(LoopBB);
llvm::Value *CounterVal = CGF.EmitLoadOfScalar(CounterLVal, Loc);
llvm::Value *CmpLoopBound = CGF.Builder.CreateICmpSLT(CounterVal, TeamWidth);
CGF.Builder.CreateCondBr(CmpLoopBound, TestBB, ExitBB);
// Block tests which single thread should execute region, and which threads
// should go straight to synchronisation point.
CGF.EmitBlock(TestBB);
CounterVal = CGF.EmitLoadOfScalar(CounterLVal, Loc);
llvm::Value *CmpThreadToCounter =
CGF.Builder.CreateICmpEQ(ThreadID, CounterVal);
CGF.Builder.CreateCondBr(CmpThreadToCounter, BodyBB, SyncBB);
// Block emits the body of the critical region.
CGF.EmitBlock(BodyBB);
// Output the critical statement.
CGOpenMPRuntime::emitCriticalRegion(CGF, CriticalName, CriticalOpGen, Loc,
Hint);
// After the body surrounded by the critical region, the single executing
// thread will jump to the synchronisation point.
// Block waits for all threads in current team to finish then increments the
// counter variable and returns to the loop.
CGF.EmitBlock(SyncBB);
// Reconverge active threads in the warp.
(void)CGF.EmitRuntimeCall(OMPBuilder.getOrCreateRuntimeFunction(
CGM.getModule(), OMPRTL___kmpc_syncwarp),
Mask);
llvm::Value *IncCounterVal =
CGF.Builder.CreateNSWAdd(CounterVal, CGF.Builder.getInt32(1));
CGF.EmitStoreOfScalar(IncCounterVal, CounterLVal);
CGF.EmitBranch(LoopBB);
// Block that is reached when all threads in the team complete the region.
CGF.EmitBlock(ExitBB, /*IsFinished=*/true);
}
/// Cast value to the specified type.
static llvm::Value *castValueToType(CodeGenFunction &CGF, llvm::Value *Val,
QualType ValTy, QualType CastTy,
SourceLocation Loc) {
assert(!CGF.getContext().getTypeSizeInChars(CastTy).isZero() &&
"Cast type must sized.");
assert(!CGF.getContext().getTypeSizeInChars(ValTy).isZero() &&
"Val type must sized.");
llvm::Type *LLVMCastTy = CGF.ConvertTypeForMem(CastTy);
if (ValTy == CastTy)
return Val;
if (CGF.getContext().getTypeSizeInChars(ValTy) ==
CGF.getContext().getTypeSizeInChars(CastTy))
return CGF.Builder.CreateBitCast(Val, LLVMCastTy);
if (CastTy->isIntegerType() && ValTy->isIntegerType())
return CGF.Builder.CreateIntCast(Val, LLVMCastTy,
CastTy->hasSignedIntegerRepresentation());
Address CastItem = CGF.CreateMemTemp(CastTy);
Address ValCastItem = CastItem.withElementType(Val->getType());
CGF.EmitStoreOfScalar(Val, ValCastItem, /*Volatile=*/false, ValTy,
LValueBaseInfo(AlignmentSource::Type),
TBAAAccessInfo());
return CGF.EmitLoadOfScalar(CastItem, /*Volatile=*/false, CastTy, Loc,
LValueBaseInfo(AlignmentSource::Type),
TBAAAccessInfo());
}
///
/// Design of OpenMP reductions on the GPU
///
/// Consider a typical OpenMP program with one or more reduction
/// clauses:
///
/// float foo;
/// double bar;
/// #pragma omp target teams distribute parallel for \
/// reduction(+:foo) reduction(*:bar)
/// for (int i = 0; i < N; i++) {
/// foo += A[i]; bar *= B[i];
/// }
///
/// where 'foo' and 'bar' are reduced across all OpenMP threads in
/// all teams. In our OpenMP implementation on the NVPTX device an
/// OpenMP team is mapped to a CUDA threadblock and OpenMP threads
/// within a team are mapped to CUDA threads within a threadblock.
/// Our goal is to efficiently aggregate values across all OpenMP
/// threads such that:
///
/// - the compiler and runtime are logically concise, and
/// - the reduction is performed efficiently in a hierarchical
/// manner as follows: within OpenMP threads in the same warp,
/// across warps in a threadblock, and finally across teams on
/// the NVPTX device.
///
/// Introduction to Decoupling
///
/// We would like to decouple the compiler and the runtime so that the
/// latter is ignorant of the reduction variables (number, data types)
/// and the reduction operators. This allows a simpler interface
/// and implementation while still attaining good performance.
///
/// Pseudocode for the aforementioned OpenMP program generated by the
/// compiler is as follows:
///
/// 1. Create private copies of reduction variables on each OpenMP
/// thread: 'foo_private', 'bar_private'
/// 2. Each OpenMP thread reduces the chunk of 'A' and 'B' assigned
/// to it and writes the result in 'foo_private' and 'bar_private'
/// respectively.
/// 3. Call the OpenMP runtime on the GPU to reduce within a team
/// and store the result on the team master:
///
/// __kmpc_nvptx_parallel_reduce_nowait_v2(...,
/// reduceData, shuffleReduceFn, interWarpCpyFn)
///
/// where:
/// struct ReduceData {
/// double *foo;
/// double *bar;
/// } reduceData
/// reduceData.foo = &foo_private
/// reduceData.bar = &bar_private
///
/// 'shuffleReduceFn' and 'interWarpCpyFn' are pointers to two
/// auxiliary functions generated by the compiler that operate on
/// variables of type 'ReduceData'. They aid the runtime perform
/// algorithmic steps in a data agnostic manner.
///
/// 'shuffleReduceFn' is a pointer to a function that reduces data
/// of type 'ReduceData' across two OpenMP threads (lanes) in the
/// same warp. It takes the following arguments as input:
///
/// a. variable of type 'ReduceData' on the calling lane,
/// b. its lane_id,
/// c. an offset relative to the current lane_id to generate a
/// remote_lane_id. The remote lane contains the second
/// variable of type 'ReduceData' that is to be reduced.
/// d. an algorithm version parameter determining which reduction
/// algorithm to use.
///
/// 'shuffleReduceFn' retrieves data from the remote lane using
/// efficient GPU shuffle intrinsics and reduces, using the
/// algorithm specified by the 4th parameter, the two operands
/// element-wise. The result is written to the first operand.
///
/// Different reduction algorithms are implemented in different
/// runtime functions, all calling 'shuffleReduceFn' to perform
/// the essential reduction step. Therefore, based on the 4th
/// parameter, this function behaves slightly differently to
/// cooperate with the runtime to ensure correctness under
/// different circumstances.
///
/// 'InterWarpCpyFn' is a pointer to a function that transfers
/// reduced variables across warps. It tunnels, through CUDA
/// shared memory, the thread-private data of type 'ReduceData'
/// from lane 0 of each warp to a lane in the first warp.
/// 4. Call the OpenMP runtime on the GPU to reduce across teams.
/// The last team writes the global reduced value to memory.
///
/// ret = __kmpc_nvptx_teams_reduce_nowait(...,
/// reduceData, shuffleReduceFn, interWarpCpyFn,
/// scratchpadCopyFn, loadAndReduceFn)
///
/// 'scratchpadCopyFn' is a helper that stores reduced
/// data from the team master to a scratchpad array in
/// global memory.
///
/// 'loadAndReduceFn' is a helper that loads data from
/// the scratchpad array and reduces it with the input
/// operand.
///
/// These compiler generated functions hide address
/// calculation and alignment information from the runtime.
/// 5. if ret == 1:
/// The team master of the last team stores the reduced
/// result to the globals in memory.
/// foo += reduceData.foo; bar *= reduceData.bar
///
///
/// Warp Reduction Algorithms
///
/// On the warp level, we have three algorithms implemented in the
/// OpenMP runtime depending on the number of active lanes:
///
/// Full Warp Reduction
///
/// The reduce algorithm within a warp where all lanes are active
/// is implemented in the runtime as follows:
///
/// full_warp_reduce(void *reduce_data,
/// kmp_ShuffleReductFctPtr ShuffleReduceFn) {
/// for (int offset = WARPSIZE/2; offset > 0; offset /= 2)
/// ShuffleReduceFn(reduce_data, 0, offset, 0);
/// }
///
/// The algorithm completes in log(2, WARPSIZE) steps.
///
/// 'ShuffleReduceFn' is used here with lane_id set to 0 because it is
/// not used therefore we save instructions by not retrieving lane_id
/// from the corresponding special registers. The 4th parameter, which
/// represents the version of the algorithm being used, is set to 0 to
/// signify full warp reduction.
///
/// In this version, 'ShuffleReduceFn' behaves, per element, as follows:
///
/// #reduce_elem refers to an element in the local lane's data structure
/// #remote_elem is retrieved from a remote lane
/// remote_elem = shuffle_down(reduce_elem, offset, WARPSIZE);
/// reduce_elem = reduce_elem REDUCE_OP remote_elem;
///
/// Contiguous Partial Warp Reduction
///
/// This reduce algorithm is used within a warp where only the first
/// 'n' (n <= WARPSIZE) lanes are active. It is typically used when the
/// number of OpenMP threads in a parallel region is not a multiple of
/// WARPSIZE. The algorithm is implemented in the runtime as follows:
///
/// void
/// contiguous_partial_reduce(void *reduce_data,
/// kmp_ShuffleReductFctPtr ShuffleReduceFn,
/// int size, int lane_id) {
/// int curr_size;
/// int offset;
/// curr_size = size;
/// mask = curr_size/2;
/// while (offset>0) {
/// ShuffleReduceFn(reduce_data, lane_id, offset, 1);
/// curr_size = (curr_size+1)/2;
/// offset = curr_size/2;
/// }
/// }
///
/// In this version, 'ShuffleReduceFn' behaves, per element, as follows:
///
/// remote_elem = shuffle_down(reduce_elem, offset, WARPSIZE);
/// if (lane_id < offset)
/// reduce_elem = reduce_elem REDUCE_OP remote_elem
/// else
/// reduce_elem = remote_elem
///
/// This algorithm assumes that the data to be reduced are located in a
/// contiguous subset of lanes starting from the first. When there is
/// an odd number of active lanes, the data in the last lane is not
/// aggregated with any other lane's dat but is instead copied over.
///
/// Dispersed Partial Warp Reduction
///
/// This algorithm is used within a warp when any discontiguous subset of
/// lanes are active. It is used to implement the reduction operation
/// across lanes in an OpenMP simd region or in a nested parallel region.
///
/// void
/// dispersed_partial_reduce(void *reduce_data,
/// kmp_ShuffleReductFctPtr ShuffleReduceFn) {
/// int size, remote_id;
/// int logical_lane_id = number_of_active_lanes_before_me() * 2;
/// do {
/// remote_id = next_active_lane_id_right_after_me();
/// # the above function returns 0 of no active lane
/// # is present right after the current lane.
/// size = number_of_active_lanes_in_this_warp();
/// logical_lane_id /= 2;
/// ShuffleReduceFn(reduce_data, logical_lane_id,
/// remote_id-1-threadIdx.x, 2);
/// } while (logical_lane_id % 2 == 0 && size > 1);
/// }
///
/// There is no assumption made about the initial state of the reduction.
/// Any number of lanes (>=1) could be active at any position. The reduction
/// result is returned in the first active lane.
///
/// In this version, 'ShuffleReduceFn' behaves, per element, as follows:
///
/// remote_elem = shuffle_down(reduce_elem, offset, WARPSIZE);
/// if (lane_id % 2 == 0 && offset > 0)
/// reduce_elem = reduce_elem REDUCE_OP remote_elem
/// else
/// reduce_elem = remote_elem
///
///
/// Intra-Team Reduction
///
/// This function, as implemented in the runtime call
/// '__kmpc_nvptx_parallel_reduce_nowait_v2', aggregates data across OpenMP
/// threads in a team. It first reduces within a warp using the
/// aforementioned algorithms. We then proceed to gather all such
/// reduced values at the first warp.
///
/// The runtime makes use of the function 'InterWarpCpyFn', which copies
/// data from each of the "warp master" (zeroth lane of each warp, where
/// warp-reduced data is held) to the zeroth warp. This step reduces (in
/// a mathematical sense) the problem of reduction across warp masters in
/// a block to the problem of warp reduction.
///
///
/// Inter-Team Reduction
///
/// Once a team has reduced its data to a single value, it is stored in
/// a global scratchpad array. Since each team has a distinct slot, this
/// can be done without locking.
///
/// The last team to write to the scratchpad array proceeds to reduce the
/// scratchpad array. One or more workers in the last team use the helper
/// 'loadAndReduceDataFn' to load and reduce values from the array, i.e.,
/// the k'th worker reduces every k'th element.
///
/// Finally, a call is made to '__kmpc_nvptx_parallel_reduce_nowait_v2' to
/// reduce across workers and compute a globally reduced value.
///
void CGOpenMPRuntimeGPU::emitReduction(
CodeGenFunction &CGF, SourceLocation Loc, ArrayRef<const Expr *> Privates,
ArrayRef<const Expr *> LHSExprs, ArrayRef<const Expr *> RHSExprs,
ArrayRef<const Expr *> ReductionOps, ReductionOptionsTy Options) {
if (!CGF.HaveInsertPoint())
return;
bool ParallelReduction = isOpenMPParallelDirective(Options.ReductionKind);
bool TeamsReduction = isOpenMPTeamsDirective(Options.ReductionKind);
ASTContext &C = CGM.getContext();
if (Options.SimpleReduction) {
assert(!TeamsReduction && !ParallelReduction &&
"Invalid reduction selection in emitReduction.");
(void)ParallelReduction;
CGOpenMPRuntime::emitReduction(CGF, Loc, Privates, LHSExprs, RHSExprs,
ReductionOps, Options);
return;
}
llvm::SmallDenseMap<const ValueDecl *, const FieldDecl *> VarFieldMap;
llvm::SmallVector<const ValueDecl *, 4> PrivatesReductions(Privates.size());
int Cnt = 0;
for (const Expr *DRE : Privates) {
PrivatesReductions[Cnt] = cast<DeclRefExpr>(DRE)->getDecl();
++Cnt;
}
const RecordDecl *ReductionRec = ::buildRecordForGlobalizedVars(
CGM.getContext(), PrivatesReductions, {}, VarFieldMap, 1);
if (TeamsReduction)
TeamsReductions.push_back(ReductionRec);
// Source location for the ident struct
llvm::Value *RTLoc = emitUpdateLocation(CGF, Loc);
using InsertPointTy = llvm::OpenMPIRBuilder::InsertPointTy;
InsertPointTy AllocaIP(CGF.AllocaInsertPt->getParent(),
CGF.AllocaInsertPt->getIterator());
InsertPointTy CodeGenIP(CGF.Builder.GetInsertBlock(),
CGF.Builder.GetInsertPoint());
llvm::OpenMPIRBuilder::LocationDescription OmpLoc(
CodeGenIP, CGF.SourceLocToDebugLoc(Loc));
llvm::SmallVector<llvm::OpenMPIRBuilder::ReductionInfo> ReductionInfos;
CodeGenFunction::OMPPrivateScope Scope(CGF);
unsigned Idx = 0;
for (const Expr *Private : Privates) {
llvm::Type *ElementType;
llvm::Value *Variable;
llvm::Value *PrivateVariable;
llvm::OpenMPIRBuilder::ReductionGenAtomicCBTy AtomicReductionGen = nullptr;
ElementType = CGF.ConvertTypeForMem(Private->getType());
const auto *RHSVar =
cast<VarDecl>(cast<DeclRefExpr>(RHSExprs[Idx])->getDecl());
PrivateVariable = CGF.GetAddrOfLocalVar(RHSVar).emitRawPointer(CGF);
const auto *LHSVar =
cast<VarDecl>(cast<DeclRefExpr>(LHSExprs[Idx])->getDecl());
Variable = CGF.GetAddrOfLocalVar(LHSVar).emitRawPointer(CGF);
llvm::OpenMPIRBuilder::EvalKind EvalKind;
switch (CGF.getEvaluationKind(Private->getType())) {
case TEK_Scalar:
EvalKind = llvm::OpenMPIRBuilder::EvalKind::Scalar;
break;
case TEK_Complex:
EvalKind = llvm::OpenMPIRBuilder::EvalKind::Complex;
break;
case TEK_Aggregate:
EvalKind = llvm::OpenMPIRBuilder::EvalKind::Aggregate;
break;
}
auto ReductionGen = [&](InsertPointTy CodeGenIP, unsigned I,
llvm::Value **LHSPtr, llvm::Value **RHSPtr,
llvm::Function *NewFunc) {
CGF.Builder.restoreIP(CodeGenIP);
auto *CurFn = CGF.CurFn;
CGF.CurFn = NewFunc;
*LHSPtr = CGF.GetAddrOfLocalVar(
cast<VarDecl>(cast<DeclRefExpr>(LHSExprs[I])->getDecl()))
.emitRawPointer(CGF);
*RHSPtr = CGF.GetAddrOfLocalVar(
cast<VarDecl>(cast<DeclRefExpr>(RHSExprs[I])->getDecl()))
.emitRawPointer(CGF);
emitSingleReductionCombiner(CGF, ReductionOps[I], Privates[I],
cast<DeclRefExpr>(LHSExprs[I]),
cast<DeclRefExpr>(RHSExprs[I]));
CGF.CurFn = CurFn;
return InsertPointTy(CGF.Builder.GetInsertBlock(),
CGF.Builder.GetInsertPoint());
};
ReductionInfos.emplace_back(llvm::OpenMPIRBuilder::ReductionInfo(
ElementType, Variable, PrivateVariable, EvalKind,
/*ReductionGen=*/nullptr, ReductionGen, AtomicReductionGen));
Idx++;
}
llvm::OpenMPIRBuilder::InsertPointTy AfterIP =
cantFail(OMPBuilder.createReductionsGPU(
OmpLoc, AllocaIP, CodeGenIP, ReductionInfos, false, TeamsReduction,
llvm::OpenMPIRBuilder::ReductionGenCBKind::Clang,
CGF.getTarget().getGridValue(),
C.getLangOpts().OpenMPCUDAReductionBufNum, RTLoc));
CGF.Builder.restoreIP(AfterIP);
}
const VarDecl *
CGOpenMPRuntimeGPU::translateParameter(const FieldDecl *FD,
const VarDecl *NativeParam) const {
if (!NativeParam->getType()->isReferenceType())
return NativeParam;
QualType ArgType = NativeParam->getType();
QualifierCollector QC;
const Type *NonQualTy = QC.strip(ArgType);
QualType PointeeTy = cast<ReferenceType>(NonQualTy)->getPointeeType();
if (const auto *Attr = FD->getAttr<OMPCaptureKindAttr>()) {
if (Attr->getCaptureKind() == OMPC_map) {
PointeeTy = CGM.getContext().getAddrSpaceQualType(PointeeTy,
LangAS::opencl_global);
}
}
ArgType = CGM.getContext().getPointerType(PointeeTy);
QC.addRestrict();
enum { NVPTX_local_addr = 5 };
QC.addAddressSpace(getLangASFromTargetAS(NVPTX_local_addr));
ArgType = QC.apply(CGM.getContext(), ArgType);
if (isa<ImplicitParamDecl>(NativeParam))
return ImplicitParamDecl::Create(
CGM.getContext(), /*DC=*/nullptr, NativeParam->getLocation(),
NativeParam->getIdentifier(), ArgType, ImplicitParamKind::Other);
return ParmVarDecl::Create(
CGM.getContext(),
const_cast<DeclContext *>(NativeParam->getDeclContext()),
NativeParam->getBeginLoc(), NativeParam->getLocation(),
NativeParam->getIdentifier(), ArgType,
/*TInfo=*/nullptr, SC_None, /*DefArg=*/nullptr);
}
Address
CGOpenMPRuntimeGPU::getParameterAddress(CodeGenFunction &CGF,
const VarDecl *NativeParam,
const VarDecl *TargetParam) const {
assert(NativeParam != TargetParam &&
NativeParam->getType()->isReferenceType() &&
"Native arg must not be the same as target arg.");
Address LocalAddr = CGF.GetAddrOfLocalVar(TargetParam);
QualType NativeParamType = NativeParam->getType();
QualifierCollector QC;
const Type *NonQualTy = QC.strip(NativeParamType);
QualType NativePointeeTy = cast<ReferenceType>(NonQualTy)->getPointeeType();
unsigned NativePointeeAddrSpace =
CGF.getTypes().getTargetAddressSpace(NativePointeeTy);
QualType TargetTy = TargetParam->getType();
llvm::Value *TargetAddr = CGF.EmitLoadOfScalar(LocalAddr, /*Volatile=*/false,
TargetTy, SourceLocation());
// Cast to native address space.
TargetAddr = CGF.Builder.CreatePointerBitCastOrAddrSpaceCast(
TargetAddr,
llvm::PointerType::get(CGF.getLLVMContext(), NativePointeeAddrSpace));
Address NativeParamAddr = CGF.CreateMemTemp(NativeParamType);
CGF.EmitStoreOfScalar(TargetAddr, NativeParamAddr, /*Volatile=*/false,
NativeParamType);
return NativeParamAddr;
}
void CGOpenMPRuntimeGPU::emitOutlinedFunctionCall(
CodeGenFunction &CGF, SourceLocation Loc, llvm::FunctionCallee OutlinedFn,
ArrayRef<llvm::Value *> Args) const {
SmallVector<llvm::Value *, 4> TargetArgs;
TargetArgs.reserve(Args.size());
auto *FnType = OutlinedFn.getFunctionType();
for (unsigned I = 0, E = Args.size(); I < E; ++I) {
if (FnType->isVarArg() && FnType->getNumParams() <= I) {
TargetArgs.append(std::next(Args.begin(), I), Args.end());
break;
}
llvm::Type *TargetType = FnType->getParamType(I);
llvm::Value *NativeArg = Args[I];
if (!TargetType->isPointerTy()) {
TargetArgs.emplace_back(NativeArg);
continue;
}
TargetArgs.emplace_back(
CGF.Builder.CreatePointerBitCastOrAddrSpaceCast(NativeArg, TargetType));
}
CGOpenMPRuntime::emitOutlinedFunctionCall(CGF, Loc, OutlinedFn, TargetArgs);
}
/// Emit function which wraps the outline parallel region
/// and controls the arguments which are passed to this function.
/// The wrapper ensures that the outlined function is called
/// with the correct arguments when data is shared.
llvm::Function *CGOpenMPRuntimeGPU::createParallelDataSharingWrapper(
llvm::Function *OutlinedParallelFn, const OMPExecutableDirective &D) {
ASTContext &Ctx = CGM.getContext();
const auto &CS = *D.getCapturedStmt(OMPD_parallel);
// Create a function that takes as argument the source thread.
FunctionArgList WrapperArgs;
QualType Int16QTy =
Ctx.getIntTypeForBitwidth(/*DestWidth=*/16, /*Signed=*/false);
QualType Int32QTy =
Ctx.getIntTypeForBitwidth(/*DestWidth=*/32, /*Signed=*/false);
ImplicitParamDecl ParallelLevelArg(Ctx, /*DC=*/nullptr, D.getBeginLoc(),
/*Id=*/nullptr, Int16QTy,
ImplicitParamKind::Other);
ImplicitParamDecl WrapperArg(Ctx, /*DC=*/nullptr, D.getBeginLoc(),
/*Id=*/nullptr, Int32QTy,
ImplicitParamKind::Other);
WrapperArgs.emplace_back(&ParallelLevelArg);
WrapperArgs.emplace_back(&WrapperArg);
const CGFunctionInfo &CGFI =
CGM.getTypes().arrangeBuiltinFunctionDeclaration(Ctx.VoidTy, WrapperArgs);
auto *Fn = llvm::Function::Create(
CGM.getTypes().GetFunctionType(CGFI), llvm::GlobalValue::InternalLinkage,
Twine(OutlinedParallelFn->getName(), "_wrapper"), &CGM.getModule());
// Ensure we do not inline the function. This is trivially true for the ones
// passed to __kmpc_fork_call but the ones calles in serialized regions
// could be inlined. This is not a perfect but it is closer to the invariant
// we want, namely, every data environment starts with a new function.
// TODO: We should pass the if condition to the runtime function and do the
// handling there. Much cleaner code.
Fn->addFnAttr(llvm::Attribute::NoInline);
CGM.SetInternalFunctionAttributes(GlobalDecl(), Fn, CGFI);
Fn->setLinkage(llvm::GlobalValue::InternalLinkage);
Fn->setDoesNotRecurse();
CodeGenFunction CGF(CGM, /*suppressNewContext=*/true);
CGF.StartFunction(GlobalDecl(), Ctx.VoidTy, Fn, CGFI, WrapperArgs,
D.getBeginLoc(), D.getBeginLoc());
const auto *RD = CS.getCapturedRecordDecl();
auto CurField = RD->field_begin();
Address ZeroAddr = CGF.CreateDefaultAlignTempAlloca(CGF.Int32Ty,
/*Name=*/".zero.addr");
CGF.Builder.CreateStore(CGF.Builder.getInt32(/*C*/ 0), ZeroAddr);
// Get the array of arguments.
SmallVector<llvm::Value *, 8> Args;
Args.emplace_back(CGF.GetAddrOfLocalVar(&WrapperArg).emitRawPointer(CGF));
Args.emplace_back(ZeroAddr.emitRawPointer(CGF));
CGBuilderTy &Bld = CGF.Builder;
auto CI = CS.capture_begin();
// Use global memory for data sharing.
// Handle passing of global args to workers.
RawAddress GlobalArgs =
CGF.CreateDefaultAlignTempAlloca(CGF.VoidPtrPtrTy, "global_args");
llvm::Value *GlobalArgsPtr = GlobalArgs.getPointer();
llvm::Value *DataSharingArgs[] = {GlobalArgsPtr};
CGF.EmitRuntimeCall(OMPBuilder.getOrCreateRuntimeFunction(
CGM.getModule(), OMPRTL___kmpc_get_shared_variables),
DataSharingArgs);
// Retrieve the shared variables from the list of references returned
// by the runtime. Pass the variables to the outlined function.
Address SharedArgListAddress = Address::invalid();
if (CS.capture_size() > 0 ||
isOpenMPLoopBoundSharingDirective(D.getDirectiveKind())) {
SharedArgListAddress = CGF.EmitLoadOfPointer(
GlobalArgs, CGF.getContext()
.getPointerType(CGF.getContext().VoidPtrTy)
.castAs<PointerType>());
}
unsigned Idx = 0;
if (isOpenMPLoopBoundSharingDirective(D.getDirectiveKind())) {
Address Src = Bld.CreateConstInBoundsGEP(SharedArgListAddress, Idx);
Address TypedAddress = Bld.CreatePointerBitCastOrAddrSpaceCast(
Src, Bld.getPtrTy(0), CGF.SizeTy);
llvm::Value *LB = CGF.EmitLoadOfScalar(
TypedAddress,
/*Volatile=*/false,
CGF.getContext().getPointerType(CGF.getContext().getSizeType()),
cast<OMPLoopDirective>(D).getLowerBoundVariable()->getExprLoc());
Args.emplace_back(LB);
++Idx;
Src = Bld.CreateConstInBoundsGEP(SharedArgListAddress, Idx);
TypedAddress = Bld.CreatePointerBitCastOrAddrSpaceCast(Src, Bld.getPtrTy(0),
CGF.SizeTy);
llvm::Value *UB = CGF.EmitLoadOfScalar(
TypedAddress,
/*Volatile=*/false,
CGF.getContext().getPointerType(CGF.getContext().getSizeType()),
cast<OMPLoopDirective>(D).getUpperBoundVariable()->getExprLoc());
Args.emplace_back(UB);
++Idx;
}
if (CS.capture_size() > 0) {
ASTContext &CGFContext = CGF.getContext();
for (unsigned I = 0, E = CS.capture_size(); I < E; ++I, ++CI, ++CurField) {
QualType ElemTy = CurField->getType();
Address Src = Bld.CreateConstInBoundsGEP(SharedArgListAddress, I + Idx);
Address TypedAddress = Bld.CreatePointerBitCastOrAddrSpaceCast(
Src, CGF.ConvertTypeForMem(CGFContext.getPointerType(ElemTy)),
CGF.ConvertTypeForMem(ElemTy));
llvm::Value *Arg = CGF.EmitLoadOfScalar(TypedAddress,
/*Volatile=*/false,
CGFContext.getPointerType(ElemTy),
CI->getLocation());
if (CI->capturesVariableByCopy() &&
!CI->getCapturedVar()->getType()->isAnyPointerType()) {
Arg = castValueToType(CGF, Arg, ElemTy, CGFContext.getUIntPtrType(),
CI->getLocation());
}
Args.emplace_back(Arg);
}
}
emitOutlinedFunctionCall(CGF, D.getBeginLoc(), OutlinedParallelFn, Args);
CGF.FinishFunction();
return Fn;
}
void CGOpenMPRuntimeGPU::emitFunctionProlog(CodeGenFunction &CGF,
const Decl *D) {
if (getDataSharingMode() != CGOpenMPRuntimeGPU::DS_Generic)
return;
assert(D && "Expected function or captured|block decl.");
assert(FunctionGlobalizedDecls.count(CGF.CurFn) == 0 &&
"Function is registered already.");
assert((!TeamAndReductions.first || TeamAndReductions.first == D) &&
"Team is set but not processed.");
const Stmt *Body = nullptr;
bool NeedToDelayGlobalization = false;
if (const auto *FD = dyn_cast<FunctionDecl>(D)) {
Body = FD->getBody();
} else if (const auto *BD = dyn_cast<BlockDecl>(D)) {
Body = BD->getBody();
} else if (const auto *CD = dyn_cast<CapturedDecl>(D)) {
Body = CD->getBody();
NeedToDelayGlobalization = CGF.CapturedStmtInfo->getKind() == CR_OpenMP;
if (NeedToDelayGlobalization &&
getExecutionMode() == CGOpenMPRuntimeGPU::EM_SPMD)
return;
}
if (!Body)
return;
CheckVarsEscapingDeclContext VarChecker(CGF, TeamAndReductions.second);
VarChecker.Visit(Body);
const RecordDecl *GlobalizedVarsRecord =
VarChecker.getGlobalizedRecord(IsInTTDRegion);
TeamAndReductions.first = nullptr;
TeamAndReductions.second.clear();
ArrayRef<const ValueDecl *> EscapedVariableLengthDecls =
VarChecker.getEscapedVariableLengthDecls();
ArrayRef<const ValueDecl *> DelayedVariableLengthDecls =
VarChecker.getDelayedVariableLengthDecls();
if (!GlobalizedVarsRecord && EscapedVariableLengthDecls.empty() &&
DelayedVariableLengthDecls.empty())
return;
auto I = FunctionGlobalizedDecls.try_emplace(CGF.CurFn).first;
I->getSecond().MappedParams =
std::make_unique<CodeGenFunction::OMPMapVars>();
I->getSecond().EscapedParameters.insert(
VarChecker.getEscapedParameters().begin(),
VarChecker.getEscapedParameters().end());
I->getSecond().EscapedVariableLengthDecls.append(
EscapedVariableLengthDecls.begin(), EscapedVariableLengthDecls.end());
I->getSecond().DelayedVariableLengthDecls.append(
DelayedVariableLengthDecls.begin(), DelayedVariableLengthDecls.end());
DeclToAddrMapTy &Data = I->getSecond().LocalVarData;
for (const ValueDecl *VD : VarChecker.getEscapedDecls()) {
assert(VD->isCanonicalDecl() && "Expected canonical declaration");
Data.try_emplace(VD);
}
if (!NeedToDelayGlobalization) {
emitGenericVarsProlog(CGF, D->getBeginLoc());
struct GlobalizationScope final : EHScopeStack::Cleanup {
GlobalizationScope() = default;
void Emit(CodeGenFunction &CGF, Flags flags) override {
static_cast<CGOpenMPRuntimeGPU &>(CGF.CGM.getOpenMPRuntime())
.emitGenericVarsEpilog(CGF);
}
};
CGF.EHStack.pushCleanup<GlobalizationScope>(NormalAndEHCleanup);
}
}
Address CGOpenMPRuntimeGPU::getAddressOfLocalVariable(CodeGenFunction &CGF,
const VarDecl *VD) {
if (VD && VD->hasAttr<OMPAllocateDeclAttr>()) {
const auto *A = VD->getAttr<OMPAllocateDeclAttr>();
auto AS = LangAS::Default;
switch (A->getAllocatorType()) {
case OMPAllocateDeclAttr::OMPNullMemAlloc:
case OMPAllocateDeclAttr::OMPDefaultMemAlloc:
case OMPAllocateDeclAttr::OMPHighBWMemAlloc:
case OMPAllocateDeclAttr::OMPLowLatMemAlloc:
break;
case OMPAllocateDeclAttr::OMPThreadMemAlloc:
return Address::invalid();
case OMPAllocateDeclAttr::OMPUserDefinedMemAlloc:
// TODO: implement aupport for user-defined allocators.
return Address::invalid();
case OMPAllocateDeclAttr::OMPConstMemAlloc:
AS = LangAS::cuda_constant;
break;
case OMPAllocateDeclAttr::OMPPTeamMemAlloc:
AS = LangAS::cuda_shared;
break;
case OMPAllocateDeclAttr::OMPLargeCapMemAlloc:
case OMPAllocateDeclAttr::OMPCGroupMemAlloc:
break;
}
llvm::Type *VarTy = CGF.ConvertTypeForMem(VD->getType());
auto *GV = new llvm::GlobalVariable(
CGM.getModule(), VarTy, /*isConstant=*/false,
llvm::GlobalValue::InternalLinkage, llvm::PoisonValue::get(VarTy),
VD->getName(),
/*InsertBefore=*/nullptr, llvm::GlobalValue::NotThreadLocal,
CGM.getContext().getTargetAddressSpace(AS));
CharUnits Align = CGM.getContext().getDeclAlign(VD);
GV->setAlignment(Align.getAsAlign());
return Address(
CGF.Builder.CreatePointerBitCastOrAddrSpaceCast(
GV, CGF.Builder.getPtrTy(CGM.getContext().getTargetAddressSpace(
VD->getType().getAddressSpace()))),
VarTy, Align);
}
if (getDataSharingMode() != CGOpenMPRuntimeGPU::DS_Generic)
return Address::invalid();
VD = VD->getCanonicalDecl();
auto I = FunctionGlobalizedDecls.find(CGF.CurFn);
if (I == FunctionGlobalizedDecls.end())
return Address::invalid();
auto VDI = I->getSecond().LocalVarData.find(VD);
if (VDI != I->getSecond().LocalVarData.end())
return VDI->second.PrivateAddr;
if (VD->hasAttrs()) {
for (specific_attr_iterator<OMPReferencedVarAttr> IT(VD->attr_begin()),
E(VD->attr_end());
IT != E; ++IT) {
auto VDI = I->getSecond().LocalVarData.find(
cast<VarDecl>(cast<DeclRefExpr>(IT->getRef())->getDecl())
->getCanonicalDecl());
if (VDI != I->getSecond().LocalVarData.end())
return VDI->second.PrivateAddr;
}
}
return Address::invalid();
}
void CGOpenMPRuntimeGPU::functionFinished(CodeGenFunction &CGF) {
FunctionGlobalizedDecls.erase(CGF.CurFn);
CGOpenMPRuntime::functionFinished(CGF);
}
void CGOpenMPRuntimeGPU::getDefaultDistScheduleAndChunk(
CodeGenFunction &CGF, const OMPLoopDirective &S,
OpenMPDistScheduleClauseKind &ScheduleKind,
llvm::Value *&Chunk) const {
auto &RT = static_cast<CGOpenMPRuntimeGPU &>(CGF.CGM.getOpenMPRuntime());
if (getExecutionMode() == CGOpenMPRuntimeGPU::EM_SPMD) {
ScheduleKind = OMPC_DIST_SCHEDULE_static;
Chunk = CGF.EmitScalarConversion(
RT.getGPUNumThreads(CGF),
CGF.getContext().getIntTypeForBitwidth(32, /*Signed=*/0),
S.getIterationVariable()->getType(), S.getBeginLoc());
return;
}
CGOpenMPRuntime::getDefaultDistScheduleAndChunk(
CGF, S, ScheduleKind, Chunk);
}
void CGOpenMPRuntimeGPU::getDefaultScheduleAndChunk(
CodeGenFunction &CGF, const OMPLoopDirective &S,
OpenMPScheduleClauseKind &ScheduleKind,
const Expr *&ChunkExpr) const {
ScheduleKind = OMPC_SCHEDULE_static;
// Chunk size is 1 in this case.
llvm::APInt ChunkSize(32, 1);
ChunkExpr = IntegerLiteral::Create(CGF.getContext(), ChunkSize,
CGF.getContext().getIntTypeForBitwidth(32, /*Signed=*/0),
SourceLocation());
}
void CGOpenMPRuntimeGPU::adjustTargetSpecificDataForLambdas(
CodeGenFunction &CGF, const OMPExecutableDirective &D) const {
assert(isOpenMPTargetExecutionDirective(D.getDirectiveKind()) &&
" Expected target-based directive.");
const CapturedStmt *CS = D.getCapturedStmt(OMPD_target);
for (const CapturedStmt::Capture &C : CS->captures()) {
// Capture variables captured by reference in lambdas for target-based
// directives.
if (!C.capturesVariable())
continue;
const VarDecl *VD = C.getCapturedVar();
const auto *RD = VD->getType()
.getCanonicalType()
.getNonReferenceType()
->getAsCXXRecordDecl();
if (!RD || !RD->isLambda())
continue;
Address VDAddr = CGF.GetAddrOfLocalVar(VD);
LValue VDLVal;
if (VD->getType().getCanonicalType()->isReferenceType())
VDLVal = CGF.EmitLoadOfReferenceLValue(VDAddr, VD->getType());
else
VDLVal = CGF.MakeAddrLValue(
VDAddr, VD->getType().getCanonicalType().getNonReferenceType());
llvm::DenseMap<const ValueDecl *, FieldDecl *> Captures;
FieldDecl *ThisCapture = nullptr;
RD->getCaptureFields(Captures, ThisCapture);
if (ThisCapture && CGF.CapturedStmtInfo->isCXXThisExprCaptured()) {
LValue ThisLVal =
CGF.EmitLValueForFieldInitialization(VDLVal, ThisCapture);
llvm::Value *CXXThis = CGF.LoadCXXThis();
CGF.EmitStoreOfScalar(CXXThis, ThisLVal);
}
for (const LambdaCapture &LC : RD->captures()) {
if (LC.getCaptureKind() != LCK_ByRef)
continue;
const ValueDecl *VD = LC.getCapturedVar();
// FIXME: For now VD is always a VarDecl because OpenMP does not support
// capturing structured bindings in lambdas yet.
if (!CS->capturesVariable(cast<VarDecl>(VD)))
continue;
auto It = Captures.find(VD);
assert(It != Captures.end() && "Found lambda capture without field.");
LValue VarLVal = CGF.EmitLValueForFieldInitialization(VDLVal, It->second);
Address VDAddr = CGF.GetAddrOfLocalVar(cast<VarDecl>(VD));
if (VD->getType().getCanonicalType()->isReferenceType())
VDAddr = CGF.EmitLoadOfReferenceLValue(VDAddr,
VD->getType().getCanonicalType())
.getAddress();
CGF.EmitStoreOfScalar(VDAddr.emitRawPointer(CGF), VarLVal);
}
}
}
bool CGOpenMPRuntimeGPU::hasAllocateAttributeForGlobalVar(const VarDecl *VD,
LangAS &AS) {
if (!VD || !VD->hasAttr<OMPAllocateDeclAttr>())
return false;
const auto *A = VD->getAttr<OMPAllocateDeclAttr>();
switch(A->getAllocatorType()) {
case OMPAllocateDeclAttr::OMPNullMemAlloc:
case OMPAllocateDeclAttr::OMPDefaultMemAlloc:
// Not supported, fallback to the default mem space.
case OMPAllocateDeclAttr::OMPLargeCapMemAlloc:
case OMPAllocateDeclAttr::OMPCGroupMemAlloc:
case OMPAllocateDeclAttr::OMPHighBWMemAlloc:
case OMPAllocateDeclAttr::OMPLowLatMemAlloc:
case OMPAllocateDeclAttr::OMPThreadMemAlloc:
AS = LangAS::Default;
return true;
case OMPAllocateDeclAttr::OMPConstMemAlloc:
AS = LangAS::cuda_constant;
return true;
case OMPAllocateDeclAttr::OMPPTeamMemAlloc:
AS = LangAS::cuda_shared;
return true;
case OMPAllocateDeclAttr::OMPUserDefinedMemAlloc:
llvm_unreachable("Expected predefined allocator for the variables with the "
"static storage.");
}
return false;
}
// Get current OffloadArch and ignore any unknown values
static OffloadArch getOffloadArch(CodeGenModule &CGM) {
if (!CGM.getTarget().hasFeature("ptx"))
return OffloadArch::UNKNOWN;
for (const auto &Feature : CGM.getTarget().getTargetOpts().FeatureMap) {
if (Feature.getValue()) {
OffloadArch Arch = StringToOffloadArch(Feature.getKey());
if (Arch != OffloadArch::UNKNOWN)
return Arch;
}
}
return OffloadArch::UNKNOWN;
}
/// Check to see if target architecture supports unified addressing which is
/// a restriction for OpenMP requires clause "unified_shared_memory".
void CGOpenMPRuntimeGPU::processRequiresDirective(const OMPRequiresDecl *D) {
for (const OMPClause *Clause : D->clauselists()) {
if (Clause->getClauseKind() == OMPC_unified_shared_memory) {
OffloadArch Arch = getOffloadArch(CGM);
switch (Arch) {
case OffloadArch::SM_20:
case OffloadArch::SM_21:
case OffloadArch::SM_30:
case OffloadArch::SM_32_:
case OffloadArch::SM_35:
case OffloadArch::SM_37:
case OffloadArch::SM_50:
case OffloadArch::SM_52:
case OffloadArch::SM_53: {
SmallString<256> Buffer;
llvm::raw_svector_ostream Out(Buffer);
Out << "Target architecture " << OffloadArchToString(Arch)
<< " does not support unified addressing";
CGM.Error(Clause->getBeginLoc(), Out.str());
return;
}
case OffloadArch::SM_60:
case OffloadArch::SM_61:
case OffloadArch::SM_62:
case OffloadArch::SM_70:
case OffloadArch::SM_72:
case OffloadArch::SM_75:
case OffloadArch::SM_80:
case OffloadArch::SM_86:
case OffloadArch::SM_87:
case OffloadArch::SM_89:
case OffloadArch::SM_90:
case OffloadArch::SM_90a:
case OffloadArch::SM_100:
case OffloadArch::SM_100a:
case OffloadArch::SM_101:
case OffloadArch::SM_101a:
case OffloadArch::SM_103:
case OffloadArch::SM_103a:
case OffloadArch::SM_120:
case OffloadArch::SM_120a:
case OffloadArch::SM_121:
case OffloadArch::SM_121a:
case OffloadArch::GFX600:
case OffloadArch::GFX601:
case OffloadArch::GFX602:
case OffloadArch::GFX700:
case OffloadArch::GFX701:
case OffloadArch::GFX702:
case OffloadArch::GFX703:
case OffloadArch::GFX704:
case OffloadArch::GFX705:
case OffloadArch::GFX801:
case OffloadArch::GFX802:
case OffloadArch::GFX803:
case OffloadArch::GFX805:
case OffloadArch::GFX810:
case OffloadArch::GFX9_GENERIC:
case OffloadArch::GFX900:
case OffloadArch::GFX902:
case OffloadArch::GFX904:
case OffloadArch::GFX906:
case OffloadArch::GFX908:
case OffloadArch::GFX909:
case OffloadArch::GFX90a:
case OffloadArch::GFX90c:
case OffloadArch::GFX9_4_GENERIC:
case OffloadArch::GFX942:
case OffloadArch::GFX950:
case OffloadArch::GFX10_1_GENERIC:
case OffloadArch::GFX1010:
case OffloadArch::GFX1011:
case OffloadArch::GFX1012:
case OffloadArch::GFX1013:
case OffloadArch::GFX10_3_GENERIC:
case OffloadArch::GFX1030:
case OffloadArch::GFX1031:
case OffloadArch::GFX1032:
case OffloadArch::GFX1033:
case OffloadArch::GFX1034:
case OffloadArch::GFX1035:
case OffloadArch::GFX1036:
case OffloadArch::GFX11_GENERIC:
case OffloadArch::GFX1100:
case OffloadArch::GFX1101:
case OffloadArch::GFX1102:
case OffloadArch::GFX1103:
case OffloadArch::GFX1150:
case OffloadArch::GFX1151:
case OffloadArch::GFX1152:
case OffloadArch::GFX1153:
case OffloadArch::GFX12_GENERIC:
case OffloadArch::GFX1200:
case OffloadArch::GFX1201:
case OffloadArch::GFX1250:
case OffloadArch::AMDGCNSPIRV:
case OffloadArch::Generic:
case OffloadArch::GRANITERAPIDS:
case OffloadArch::BMG_G21:
case OffloadArch::UNUSED:
case OffloadArch::UNKNOWN:
break;
case OffloadArch::LAST:
llvm_unreachable("Unexpected GPU arch.");
}
}
}
CGOpenMPRuntime::processRequiresDirective(D);
}
llvm::Value *CGOpenMPRuntimeGPU::getGPUNumThreads(CodeGenFunction &CGF) {
CGBuilderTy &Bld = CGF.Builder;
llvm::Module *M = &CGF.CGM.getModule();
const char *LocSize = "__kmpc_get_hardware_num_threads_in_block";
llvm::Function *F = M->getFunction(LocSize);
if (!F) {
F = llvm::Function::Create(llvm::FunctionType::get(CGF.Int32Ty, {}, false),
llvm::GlobalVariable::ExternalLinkage, LocSize,
&CGF.CGM.getModule());
}
return Bld.CreateCall(F, {}, "nvptx_num_threads");
}
llvm::Value *CGOpenMPRuntimeGPU::getGPUThreadID(CodeGenFunction &CGF) {
ArrayRef<llvm::Value *> Args{};
return CGF.EmitRuntimeCall(
OMPBuilder.getOrCreateRuntimeFunction(
CGM.getModule(), OMPRTL___kmpc_get_hardware_thread_id_in_block),
Args);
}
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