| 1 | //===-- CUFDeviceGlobal.cpp -----------------------------------------------===// |
| 2 | // |
| 3 | // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. |
| 4 | // See https://llvm.org/LICENSE.txt for license information. |
| 5 | // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception |
| 6 | // |
| 7 | //===----------------------------------------------------------------------===// |
| 8 | |
| 9 | #include "flang/Optimizer/Builder/CUFCommon.h" |
| 10 | #include "flang/Optimizer/Dialect/CUF/CUFOps.h" |
| 11 | #include "flang/Optimizer/Dialect/FIRDialect.h" |
| 12 | #include "flang/Optimizer/Dialect/FIROps.h" |
| 13 | #include "flang/Optimizer/HLFIR/HLFIROps.h" |
| 14 | #include "flang/Optimizer/Support/InternalNames.h" |
| 15 | #include "flang/Runtime/CUDA/common.h" |
| 16 | #include "flang/Runtime/allocatable.h" |
| 17 | #include "flang/Support/Fortran.h" |
| 18 | #include "mlir/Dialect/LLVMIR/NVVMDialect.h" |
| 19 | #include "mlir/IR/SymbolTable.h" |
| 20 | #include "mlir/Pass/Pass.h" |
| 21 | #include "mlir/Transforms/DialectConversion.h" |
| 22 | #include "llvm/ADT/DenseSet.h" |
| 23 | |
| 24 | namespace fir { |
| 25 | #define GEN_PASS_DEF_CUFDEVICEGLOBAL |
| 26 | #include "flang/Optimizer/Transforms/Passes.h.inc" |
| 27 | } // namespace fir |
| 28 | |
| 29 | namespace { |
| 30 | |
| 31 | static void processAddrOfOp(fir::AddrOfOp addrOfOp, |
| 32 | mlir::SymbolTable &symbolTable, |
| 33 | llvm::DenseSet<fir::GlobalOp> &candidates, |
| 34 | bool recurseInGlobal) { |
| 35 | |
| 36 | // Check if there is a real use of the global. |
| 37 | if (addrOfOp.getOperation()->hasOneUse()) { |
| 38 | mlir::OpOperand &addrUse = *addrOfOp.getOperation()->getUses().begin(); |
| 39 | if (mlir::isa<fir::DeclareOp>(addrUse.getOwner()) && |
| 40 | addrUse.getOwner()->use_empty()) |
| 41 | return; |
| 42 | } |
| 43 | |
| 44 | if (auto globalOp = symbolTable.lookup<fir::GlobalOp>( |
| 45 | addrOfOp.getSymbol().getRootReference().getValue())) { |
| 46 | // TO DO: limit candidates to non-scalars. Scalars appear to have been |
| 47 | // folded in already. |
| 48 | if (recurseInGlobal) |
| 49 | globalOp.walk([&](fir::AddrOfOp op) { |
| 50 | processAddrOfOp(op, symbolTable, candidates, recurseInGlobal); |
| 51 | }); |
| 52 | candidates.insert(globalOp); |
| 53 | } |
| 54 | } |
| 55 | |
| 56 | static void processEmboxOp(fir::EmboxOp emboxOp, mlir::SymbolTable &symbolTable, |
| 57 | llvm::DenseSet<fir::GlobalOp> &candidates) { |
| 58 | if (auto recTy = mlir::dyn_cast<fir::RecordType>( |
| 59 | fir::unwrapRefType(emboxOp.getMemref().getType()))) { |
| 60 | if (auto globalOp = symbolTable.lookup<fir::GlobalOp>( |
| 61 | fir::NameUniquer::getTypeDescriptorName(recTy.getName()))) { |
| 62 | if (!candidates.contains(globalOp)) { |
| 63 | globalOp.walk([&](fir::AddrOfOp op) { |
| 64 | processAddrOfOp(op, symbolTable, candidates, |
| 65 | /*recurseInGlobal=*/true); |
| 66 | }); |
| 67 | candidates.insert(globalOp); |
| 68 | } |
| 69 | } |
| 70 | } |
| 71 | } |
| 72 | |
| 73 | static void |
| 74 | prepareImplicitDeviceGlobals(mlir::func::FuncOp funcOp, |
| 75 | mlir::SymbolTable &symbolTable, |
| 76 | llvm::DenseSet<fir::GlobalOp> &candidates) { |
| 77 | auto cudaProcAttr{ |
| 78 | funcOp->getAttrOfType<cuf::ProcAttributeAttr>(cuf::getProcAttrName())}; |
| 79 | if (cudaProcAttr && cudaProcAttr.getValue() != cuf::ProcAttribute::Host) { |
| 80 | funcOp.walk([&](fir::AddrOfOp op) { |
| 81 | processAddrOfOp(op, symbolTable, candidates, /*recurseInGlobal=*/false); |
| 82 | }); |
| 83 | funcOp.walk( |
| 84 | [&](fir::EmboxOp op) { processEmboxOp(op, symbolTable, candidates); }); |
| 85 | } |
| 86 | } |
| 87 | |
| 88 | class CUFDeviceGlobal : public fir::impl::CUFDeviceGlobalBase<CUFDeviceGlobal> { |
| 89 | public: |
| 90 | void runOnOperation() override { |
| 91 | mlir::Operation *op = getOperation(); |
| 92 | mlir::ModuleOp mod = mlir::dyn_cast<mlir::ModuleOp>(op); |
| 93 | if (!mod) |
| 94 | return signalPassFailure(); |
| 95 | |
| 96 | llvm::DenseSet<fir::GlobalOp> candidates; |
| 97 | mlir::SymbolTable symTable(mod); |
| 98 | mod.walk([&](mlir::func::FuncOp funcOp) { |
| 99 | prepareImplicitDeviceGlobals(funcOp, symTable, candidates); |
| 100 | return mlir::WalkResult::advance(); |
| 101 | }); |
| 102 | mod.walk([&](cuf::KernelOp kernelOp) { |
| 103 | kernelOp.walk([&](fir::AddrOfOp addrOfOp) { |
| 104 | processAddrOfOp(addrOfOp, symTable, candidates, |
| 105 | /*recurseInGlobal=*/false); |
| 106 | }); |
| 107 | }); |
| 108 | |
| 109 | // Copying the device global variable into the gpu module |
| 110 | mlir::SymbolTable parentSymTable(mod); |
| 111 | auto gpuMod = cuf::getOrCreateGPUModule(mod, parentSymTable); |
| 112 | if (!gpuMod) |
| 113 | return signalPassFailure(); |
| 114 | mlir::SymbolTable gpuSymTable(gpuMod); |
| 115 | for (auto globalOp : mod.getOps<fir::GlobalOp>()) { |
| 116 | if (cuf::isRegisteredDeviceGlobal(globalOp)) |
| 117 | candidates.insert(globalOp); |
| 118 | } |
| 119 | for (auto globalOp : candidates) { |
| 120 | auto globalName{globalOp.getSymbol().getValue()}; |
| 121 | if (gpuSymTable.lookup<fir::GlobalOp>(globalName)) { |
| 122 | break; |
| 123 | } |
| 124 | gpuSymTable.insert(globalOp->clone()); |
| 125 | } |
| 126 | } |
| 127 | }; |
| 128 | } // namespace |
| 129 | |