forked from OSchip/llvm-project
675 lines
24 KiB
C++
675 lines
24 KiB
C++
//===-- AMDGPUAtomicOptimizer.cpp -----------------------------------------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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//
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/// \file
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/// This pass optimizes atomic operations by using a single lane of a wavefront
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/// to perform the atomic operation, thus reducing contention on that memory
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/// location.
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//
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//===----------------------------------------------------------------------===//
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#include "AMDGPU.h"
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#include "AMDGPUSubtarget.h"
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#include "SIDefines.h"
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#include "llvm/Analysis/LegacyDivergenceAnalysis.h"
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#include "llvm/CodeGen/TargetPassConfig.h"
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#include "llvm/IR/IRBuilder.h"
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#include "llvm/IR/InstVisitor.h"
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#include "llvm/InitializePasses.h"
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#include "llvm/Transforms/Utils/BasicBlockUtils.h"
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#define DEBUG_TYPE "amdgpu-atomic-optimizer"
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using namespace llvm;
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using namespace llvm::AMDGPU;
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namespace {
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struct ReplacementInfo {
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Instruction *I;
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AtomicRMWInst::BinOp Op;
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unsigned ValIdx;
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bool ValDivergent;
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};
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class AMDGPUAtomicOptimizer : public FunctionPass,
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public InstVisitor<AMDGPUAtomicOptimizer> {
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private:
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SmallVector<ReplacementInfo, 8> ToReplace;
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const LegacyDivergenceAnalysis *DA;
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const DataLayout *DL;
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DominatorTree *DT;
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const GCNSubtarget *ST;
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bool IsPixelShader;
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Value *buildScan(IRBuilder<> &B, AtomicRMWInst::BinOp Op, Value *V,
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Value *const Identity) const;
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Value *buildShiftRight(IRBuilder<> &B, Value *V, Value *const Identity) const;
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void optimizeAtomic(Instruction &I, AtomicRMWInst::BinOp Op, unsigned ValIdx,
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bool ValDivergent) const;
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public:
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static char ID;
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AMDGPUAtomicOptimizer() : FunctionPass(ID) {}
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bool runOnFunction(Function &F) override;
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void getAnalysisUsage(AnalysisUsage &AU) const override {
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AU.addPreserved<DominatorTreeWrapperPass>();
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AU.addRequired<LegacyDivergenceAnalysis>();
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AU.addRequired<TargetPassConfig>();
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}
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void visitAtomicRMWInst(AtomicRMWInst &I);
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void visitIntrinsicInst(IntrinsicInst &I);
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};
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} // namespace
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char AMDGPUAtomicOptimizer::ID = 0;
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char &llvm::AMDGPUAtomicOptimizerID = AMDGPUAtomicOptimizer::ID;
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bool AMDGPUAtomicOptimizer::runOnFunction(Function &F) {
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if (skipFunction(F)) {
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return false;
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}
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DA = &getAnalysis<LegacyDivergenceAnalysis>();
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DL = &F.getParent()->getDataLayout();
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DominatorTreeWrapperPass *const DTW =
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getAnalysisIfAvailable<DominatorTreeWrapperPass>();
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DT = DTW ? &DTW->getDomTree() : nullptr;
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const TargetPassConfig &TPC = getAnalysis<TargetPassConfig>();
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const TargetMachine &TM = TPC.getTM<TargetMachine>();
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ST = &TM.getSubtarget<GCNSubtarget>(F);
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IsPixelShader = F.getCallingConv() == CallingConv::AMDGPU_PS;
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visit(F);
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const bool Changed = !ToReplace.empty();
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for (ReplacementInfo &Info : ToReplace) {
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optimizeAtomic(*Info.I, Info.Op, Info.ValIdx, Info.ValDivergent);
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}
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ToReplace.clear();
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return Changed;
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}
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void AMDGPUAtomicOptimizer::visitAtomicRMWInst(AtomicRMWInst &I) {
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// Early exit for unhandled address space atomic instructions.
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switch (I.getPointerAddressSpace()) {
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default:
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return;
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case AMDGPUAS::GLOBAL_ADDRESS:
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case AMDGPUAS::LOCAL_ADDRESS:
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break;
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}
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AtomicRMWInst::BinOp Op = I.getOperation();
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switch (Op) {
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default:
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return;
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case AtomicRMWInst::Add:
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case AtomicRMWInst::Sub:
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case AtomicRMWInst::And:
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case AtomicRMWInst::Or:
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case AtomicRMWInst::Xor:
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case AtomicRMWInst::Max:
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case AtomicRMWInst::Min:
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case AtomicRMWInst::UMax:
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case AtomicRMWInst::UMin:
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break;
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}
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const unsigned PtrIdx = 0;
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const unsigned ValIdx = 1;
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// If the pointer operand is divergent, then each lane is doing an atomic
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// operation on a different address, and we cannot optimize that.
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if (DA->isDivergentUse(&I.getOperandUse(PtrIdx))) {
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return;
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}
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const bool ValDivergent = DA->isDivergentUse(&I.getOperandUse(ValIdx));
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// If the value operand is divergent, each lane is contributing a different
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// value to the atomic calculation. We can only optimize divergent values if
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// we have DPP available on our subtarget, and the atomic operation is 32
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// bits.
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if (ValDivergent &&
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(!ST->hasDPP() || DL->getTypeSizeInBits(I.getType()) != 32)) {
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return;
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}
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// If we get here, we can optimize the atomic using a single wavefront-wide
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// atomic operation to do the calculation for the entire wavefront, so
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// remember the instruction so we can come back to it.
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const ReplacementInfo Info = {&I, Op, ValIdx, ValDivergent};
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ToReplace.push_back(Info);
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}
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void AMDGPUAtomicOptimizer::visitIntrinsicInst(IntrinsicInst &I) {
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AtomicRMWInst::BinOp Op;
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switch (I.getIntrinsicID()) {
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default:
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return;
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case Intrinsic::amdgcn_buffer_atomic_add:
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case Intrinsic::amdgcn_struct_buffer_atomic_add:
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case Intrinsic::amdgcn_raw_buffer_atomic_add:
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Op = AtomicRMWInst::Add;
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break;
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case Intrinsic::amdgcn_buffer_atomic_sub:
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case Intrinsic::amdgcn_struct_buffer_atomic_sub:
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case Intrinsic::amdgcn_raw_buffer_atomic_sub:
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Op = AtomicRMWInst::Sub;
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break;
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case Intrinsic::amdgcn_buffer_atomic_and:
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case Intrinsic::amdgcn_struct_buffer_atomic_and:
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case Intrinsic::amdgcn_raw_buffer_atomic_and:
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Op = AtomicRMWInst::And;
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break;
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case Intrinsic::amdgcn_buffer_atomic_or:
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case Intrinsic::amdgcn_struct_buffer_atomic_or:
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case Intrinsic::amdgcn_raw_buffer_atomic_or:
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Op = AtomicRMWInst::Or;
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break;
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case Intrinsic::amdgcn_buffer_atomic_xor:
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case Intrinsic::amdgcn_struct_buffer_atomic_xor:
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case Intrinsic::amdgcn_raw_buffer_atomic_xor:
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Op = AtomicRMWInst::Xor;
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break;
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case Intrinsic::amdgcn_buffer_atomic_smin:
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case Intrinsic::amdgcn_struct_buffer_atomic_smin:
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case Intrinsic::amdgcn_raw_buffer_atomic_smin:
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Op = AtomicRMWInst::Min;
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break;
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case Intrinsic::amdgcn_buffer_atomic_umin:
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case Intrinsic::amdgcn_struct_buffer_atomic_umin:
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case Intrinsic::amdgcn_raw_buffer_atomic_umin:
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Op = AtomicRMWInst::UMin;
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break;
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case Intrinsic::amdgcn_buffer_atomic_smax:
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case Intrinsic::amdgcn_struct_buffer_atomic_smax:
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case Intrinsic::amdgcn_raw_buffer_atomic_smax:
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Op = AtomicRMWInst::Max;
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break;
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case Intrinsic::amdgcn_buffer_atomic_umax:
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case Intrinsic::amdgcn_struct_buffer_atomic_umax:
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case Intrinsic::amdgcn_raw_buffer_atomic_umax:
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Op = AtomicRMWInst::UMax;
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break;
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}
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const unsigned ValIdx = 0;
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const bool ValDivergent = DA->isDivergentUse(&I.getOperandUse(ValIdx));
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// If the value operand is divergent, each lane is contributing a different
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// value to the atomic calculation. We can only optimize divergent values if
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// we have DPP available on our subtarget, and the atomic operation is 32
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// bits.
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if (ValDivergent &&
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(!ST->hasDPP() || DL->getTypeSizeInBits(I.getType()) != 32)) {
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return;
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}
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// If any of the other arguments to the intrinsic are divergent, we can't
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// optimize the operation.
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for (unsigned Idx = 1; Idx < I.getNumOperands(); Idx++) {
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if (DA->isDivergentUse(&I.getOperandUse(Idx))) {
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return;
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}
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}
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// If we get here, we can optimize the atomic using a single wavefront-wide
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// atomic operation to do the calculation for the entire wavefront, so
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// remember the instruction so we can come back to it.
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const ReplacementInfo Info = {&I, Op, ValIdx, ValDivergent};
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ToReplace.push_back(Info);
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}
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// Use the builder to create the non-atomic counterpart of the specified
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// atomicrmw binary op.
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static Value *buildNonAtomicBinOp(IRBuilder<> &B, AtomicRMWInst::BinOp Op,
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Value *LHS, Value *RHS) {
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CmpInst::Predicate Pred;
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switch (Op) {
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default:
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llvm_unreachable("Unhandled atomic op");
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case AtomicRMWInst::Add:
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return B.CreateBinOp(Instruction::Add, LHS, RHS);
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case AtomicRMWInst::Sub:
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return B.CreateBinOp(Instruction::Sub, LHS, RHS);
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case AtomicRMWInst::And:
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return B.CreateBinOp(Instruction::And, LHS, RHS);
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case AtomicRMWInst::Or:
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return B.CreateBinOp(Instruction::Or, LHS, RHS);
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case AtomicRMWInst::Xor:
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return B.CreateBinOp(Instruction::Xor, LHS, RHS);
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case AtomicRMWInst::Max:
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Pred = CmpInst::ICMP_SGT;
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break;
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case AtomicRMWInst::Min:
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Pred = CmpInst::ICMP_SLT;
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break;
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case AtomicRMWInst::UMax:
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Pred = CmpInst::ICMP_UGT;
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break;
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case AtomicRMWInst::UMin:
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Pred = CmpInst::ICMP_ULT;
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break;
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}
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Value *Cond = B.CreateICmp(Pred, LHS, RHS);
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return B.CreateSelect(Cond, LHS, RHS);
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}
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// Use the builder to create an inclusive scan of V across the wavefront, with
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// all lanes active.
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Value *AMDGPUAtomicOptimizer::buildScan(IRBuilder<> &B, AtomicRMWInst::BinOp Op,
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Value *V, Value *const Identity) const {
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Type *const Ty = V->getType();
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Module *M = B.GetInsertBlock()->getModule();
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Function *UpdateDPP =
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Intrinsic::getDeclaration(M, Intrinsic::amdgcn_update_dpp, Ty);
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Function *PermLaneX16 =
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Intrinsic::getDeclaration(M, Intrinsic::amdgcn_permlanex16, {});
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Function *ReadLane =
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Intrinsic::getDeclaration(M, Intrinsic::amdgcn_readlane, {});
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for (unsigned Idx = 0; Idx < 4; Idx++) {
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V = buildNonAtomicBinOp(
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B, Op, V,
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B.CreateCall(UpdateDPP,
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{Identity, V, B.getInt32(DPP::ROW_SHR0 | 1 << Idx),
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B.getInt32(0xf), B.getInt32(0xf), B.getFalse()}));
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}
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if (ST->hasDPPBroadcasts()) {
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// GFX9 has DPP row broadcast operations.
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V = buildNonAtomicBinOp(
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B, Op, V,
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B.CreateCall(UpdateDPP,
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{Identity, V, B.getInt32(DPP::BCAST15), B.getInt32(0xa),
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B.getInt32(0xf), B.getFalse()}));
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V = buildNonAtomicBinOp(
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B, Op, V,
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B.CreateCall(UpdateDPP,
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{Identity, V, B.getInt32(DPP::BCAST31), B.getInt32(0xc),
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B.getInt32(0xf), B.getFalse()}));
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} else {
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// On GFX10 all DPP operations are confined to a single row. To get cross-
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// row operations we have to use permlane or readlane.
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// Combine lane 15 into lanes 16..31 (and, for wave 64, lane 47 into lanes
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// 48..63).
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Value *const PermX =
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B.CreateCall(PermLaneX16, {V, V, B.getInt32(-1), B.getInt32(-1),
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B.getFalse(), B.getFalse()});
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V = buildNonAtomicBinOp(
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B, Op, V,
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B.CreateCall(UpdateDPP,
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{Identity, PermX, B.getInt32(DPP::QUAD_PERM_ID),
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B.getInt32(0xa), B.getInt32(0xf), B.getFalse()}));
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if (!ST->isWave32()) {
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// Combine lane 31 into lanes 32..63.
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Value *const Lane31 = B.CreateCall(ReadLane, {V, B.getInt32(31)});
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V = buildNonAtomicBinOp(
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B, Op, V,
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B.CreateCall(UpdateDPP,
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{Identity, Lane31, B.getInt32(DPP::QUAD_PERM_ID),
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B.getInt32(0xc), B.getInt32(0xf), B.getFalse()}));
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}
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}
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return V;
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}
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// Use the builder to create a shift right of V across the wavefront, with all
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// lanes active, to turn an inclusive scan into an exclusive scan.
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Value *AMDGPUAtomicOptimizer::buildShiftRight(IRBuilder<> &B, Value *V,
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Value *const Identity) const {
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Type *const Ty = V->getType();
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Module *M = B.GetInsertBlock()->getModule();
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Function *UpdateDPP =
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Intrinsic::getDeclaration(M, Intrinsic::amdgcn_update_dpp, Ty);
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Function *ReadLane =
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Intrinsic::getDeclaration(M, Intrinsic::amdgcn_readlane, {});
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Function *WriteLane =
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Intrinsic::getDeclaration(M, Intrinsic::amdgcn_writelane, {});
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if (ST->hasDPPWavefrontShifts()) {
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// GFX9 has DPP wavefront shift operations.
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V = B.CreateCall(UpdateDPP,
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{Identity, V, B.getInt32(DPP::WAVE_SHR1), B.getInt32(0xf),
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B.getInt32(0xf), B.getFalse()});
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} else {
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// On GFX10 all DPP operations are confined to a single row. To get cross-
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// row operations we have to use permlane or readlane.
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Value *Old = V;
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V = B.CreateCall(UpdateDPP,
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{Identity, V, B.getInt32(DPP::ROW_SHR0 + 1),
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B.getInt32(0xf), B.getInt32(0xf), B.getFalse()});
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// Copy the old lane 15 to the new lane 16.
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V = B.CreateCall(WriteLane, {B.CreateCall(ReadLane, {Old, B.getInt32(15)}),
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B.getInt32(16), V});
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if (!ST->isWave32()) {
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// Copy the old lane 31 to the new lane 32.
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V = B.CreateCall(
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WriteLane,
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{B.CreateCall(ReadLane, {Old, B.getInt32(31)}), B.getInt32(32), V});
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// Copy the old lane 47 to the new lane 48.
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V = B.CreateCall(
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WriteLane,
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{B.CreateCall(ReadLane, {Old, B.getInt32(47)}), B.getInt32(48), V});
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}
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}
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return V;
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}
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static APInt getIdentityValueForAtomicOp(AtomicRMWInst::BinOp Op,
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unsigned BitWidth) {
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switch (Op) {
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default:
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llvm_unreachable("Unhandled atomic op");
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case AtomicRMWInst::Add:
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case AtomicRMWInst::Sub:
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case AtomicRMWInst::Or:
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case AtomicRMWInst::Xor:
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case AtomicRMWInst::UMax:
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return APInt::getMinValue(BitWidth);
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case AtomicRMWInst::And:
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case AtomicRMWInst::UMin:
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return APInt::getMaxValue(BitWidth);
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case AtomicRMWInst::Max:
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return APInt::getSignedMinValue(BitWidth);
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case AtomicRMWInst::Min:
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return APInt::getSignedMaxValue(BitWidth);
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}
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}
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static Value *buildMul(IRBuilder<> &B, Value *LHS, Value *RHS) {
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const ConstantInt *CI = dyn_cast<ConstantInt>(LHS);
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return (CI && CI->isOne()) ? RHS : B.CreateMul(LHS, RHS);
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}
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void AMDGPUAtomicOptimizer::optimizeAtomic(Instruction &I,
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AtomicRMWInst::BinOp Op,
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unsigned ValIdx,
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bool ValDivergent) const {
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// Start building just before the instruction.
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IRBuilder<> B(&I);
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// If we are in a pixel shader, because of how we have to mask out helper
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// lane invocations, we need to record the entry and exit BB's.
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BasicBlock *PixelEntryBB = nullptr;
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BasicBlock *PixelExitBB = nullptr;
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// If we're optimizing an atomic within a pixel shader, we need to wrap the
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// entire atomic operation in a helper-lane check. We do not want any helper
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// lanes that are around only for the purposes of derivatives to take part
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// in any cross-lane communication, and we use a branch on whether the lane is
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// live to do this.
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if (IsPixelShader) {
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// Record I's original position as the entry block.
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PixelEntryBB = I.getParent();
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Value *const Cond = B.CreateIntrinsic(Intrinsic::amdgcn_ps_live, {}, {});
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Instruction *const NonHelperTerminator =
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SplitBlockAndInsertIfThen(Cond, &I, false, nullptr, DT, nullptr);
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// Record I's new position as the exit block.
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PixelExitBB = I.getParent();
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I.moveBefore(NonHelperTerminator);
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B.SetInsertPoint(&I);
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}
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Type *const Ty = I.getType();
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const unsigned TyBitWidth = DL->getTypeSizeInBits(Ty);
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auto *const VecTy = FixedVectorType::get(B.getInt32Ty(), 2);
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// This is the value in the atomic operation we need to combine in order to
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// reduce the number of atomic operations.
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Value *const V = I.getOperand(ValIdx);
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// We need to know how many lanes are active within the wavefront, and we do
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// this by doing a ballot of active lanes.
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Type *const WaveTy = B.getIntNTy(ST->getWavefrontSize());
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CallInst *const Ballot =
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B.CreateIntrinsic(Intrinsic::amdgcn_ballot, WaveTy, B.getTrue());
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// We need to know how many lanes are active within the wavefront that are
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// below us. If we counted each lane linearly starting from 0, a lane is
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// below us only if its associated index was less than ours. We do this by
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// using the mbcnt intrinsic.
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Value *Mbcnt;
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if (ST->isWave32()) {
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Mbcnt = B.CreateIntrinsic(Intrinsic::amdgcn_mbcnt_lo, {},
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{Ballot, B.getInt32(0)});
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} else {
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Value *const BitCast = B.CreateBitCast(Ballot, VecTy);
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Value *const ExtractLo = B.CreateExtractElement(BitCast, B.getInt32(0));
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Value *const ExtractHi = B.CreateExtractElement(BitCast, B.getInt32(1));
|
|
Mbcnt = B.CreateIntrinsic(Intrinsic::amdgcn_mbcnt_lo, {},
|
|
{ExtractLo, B.getInt32(0)});
|
|
Mbcnt =
|
|
B.CreateIntrinsic(Intrinsic::amdgcn_mbcnt_hi, {}, {ExtractHi, Mbcnt});
|
|
}
|
|
Mbcnt = B.CreateIntCast(Mbcnt, Ty, false);
|
|
|
|
Value *const Identity = B.getInt(getIdentityValueForAtomicOp(Op, TyBitWidth));
|
|
|
|
Value *ExclScan = nullptr;
|
|
Value *NewV = nullptr;
|
|
|
|
// If we have a divergent value in each lane, we need to combine the value
|
|
// using DPP.
|
|
if (ValDivergent) {
|
|
// First we need to set all inactive invocations to the identity value, so
|
|
// that they can correctly contribute to the final result.
|
|
NewV = B.CreateIntrinsic(Intrinsic::amdgcn_set_inactive, Ty, {V, Identity});
|
|
|
|
const AtomicRMWInst::BinOp ScanOp =
|
|
Op == AtomicRMWInst::Sub ? AtomicRMWInst::Add : Op;
|
|
NewV = buildScan(B, ScanOp, NewV, Identity);
|
|
ExclScan = buildShiftRight(B, NewV, Identity);
|
|
|
|
// Read the value from the last lane, which has accumlated the values of
|
|
// each active lane in the wavefront. This will be our new value which we
|
|
// will provide to the atomic operation.
|
|
Value *const LastLaneIdx = B.getInt32(ST->getWavefrontSize() - 1);
|
|
if (TyBitWidth == 64) {
|
|
Value *const ExtractLo = B.CreateTrunc(NewV, B.getInt32Ty());
|
|
Value *const ExtractHi =
|
|
B.CreateTrunc(B.CreateLShr(NewV, 32), B.getInt32Ty());
|
|
CallInst *const ReadLaneLo = B.CreateIntrinsic(
|
|
Intrinsic::amdgcn_readlane, {}, {ExtractLo, LastLaneIdx});
|
|
CallInst *const ReadLaneHi = B.CreateIntrinsic(
|
|
Intrinsic::amdgcn_readlane, {}, {ExtractHi, LastLaneIdx});
|
|
Value *const PartialInsert = B.CreateInsertElement(
|
|
UndefValue::get(VecTy), ReadLaneLo, B.getInt32(0));
|
|
Value *const Insert =
|
|
B.CreateInsertElement(PartialInsert, ReadLaneHi, B.getInt32(1));
|
|
NewV = B.CreateBitCast(Insert, Ty);
|
|
} else if (TyBitWidth == 32) {
|
|
NewV = B.CreateIntrinsic(Intrinsic::amdgcn_readlane, {},
|
|
{NewV, LastLaneIdx});
|
|
} else {
|
|
llvm_unreachable("Unhandled atomic bit width");
|
|
}
|
|
|
|
// Finally mark the readlanes in the WWM section.
|
|
NewV = B.CreateIntrinsic(Intrinsic::amdgcn_wwm, Ty, NewV);
|
|
} else {
|
|
switch (Op) {
|
|
default:
|
|
llvm_unreachable("Unhandled atomic op");
|
|
|
|
case AtomicRMWInst::Add:
|
|
case AtomicRMWInst::Sub: {
|
|
// The new value we will be contributing to the atomic operation is the
|
|
// old value times the number of active lanes.
|
|
Value *const Ctpop = B.CreateIntCast(
|
|
B.CreateUnaryIntrinsic(Intrinsic::ctpop, Ballot), Ty, false);
|
|
NewV = buildMul(B, V, Ctpop);
|
|
break;
|
|
}
|
|
|
|
case AtomicRMWInst::And:
|
|
case AtomicRMWInst::Or:
|
|
case AtomicRMWInst::Max:
|
|
case AtomicRMWInst::Min:
|
|
case AtomicRMWInst::UMax:
|
|
case AtomicRMWInst::UMin:
|
|
// These operations with a uniform value are idempotent: doing the atomic
|
|
// operation multiple times has the same effect as doing it once.
|
|
NewV = V;
|
|
break;
|
|
|
|
case AtomicRMWInst::Xor:
|
|
// The new value we will be contributing to the atomic operation is the
|
|
// old value times the parity of the number of active lanes.
|
|
Value *const Ctpop = B.CreateIntCast(
|
|
B.CreateUnaryIntrinsic(Intrinsic::ctpop, Ballot), Ty, false);
|
|
NewV = buildMul(B, V, B.CreateAnd(Ctpop, 1));
|
|
break;
|
|
}
|
|
}
|
|
|
|
// We only want a single lane to enter our new control flow, and we do this
|
|
// by checking if there are any active lanes below us. Only one lane will
|
|
// have 0 active lanes below us, so that will be the only one to progress.
|
|
Value *const Cond = B.CreateICmpEQ(Mbcnt, B.getIntN(TyBitWidth, 0));
|
|
|
|
// Store I's original basic block before we split the block.
|
|
BasicBlock *const EntryBB = I.getParent();
|
|
|
|
// We need to introduce some new control flow to force a single lane to be
|
|
// active. We do this by splitting I's basic block at I, and introducing the
|
|
// new block such that:
|
|
// entry --> single_lane -\
|
|
// \------------------> exit
|
|
Instruction *const SingleLaneTerminator =
|
|
SplitBlockAndInsertIfThen(Cond, &I, false, nullptr, DT, nullptr);
|
|
|
|
// Move the IR builder into single_lane next.
|
|
B.SetInsertPoint(SingleLaneTerminator);
|
|
|
|
// Clone the original atomic operation into single lane, replacing the
|
|
// original value with our newly created one.
|
|
Instruction *const NewI = I.clone();
|
|
B.Insert(NewI);
|
|
NewI->setOperand(ValIdx, NewV);
|
|
|
|
// Move the IR builder into exit next, and start inserting just before the
|
|
// original instruction.
|
|
B.SetInsertPoint(&I);
|
|
|
|
const bool NeedResult = !I.use_empty();
|
|
if (NeedResult) {
|
|
// Create a PHI node to get our new atomic result into the exit block.
|
|
PHINode *const PHI = B.CreatePHI(Ty, 2);
|
|
PHI->addIncoming(UndefValue::get(Ty), EntryBB);
|
|
PHI->addIncoming(NewI, SingleLaneTerminator->getParent());
|
|
|
|
// We need to broadcast the value who was the lowest active lane (the first
|
|
// lane) to all other lanes in the wavefront. We use an intrinsic for this,
|
|
// but have to handle 64-bit broadcasts with two calls to this intrinsic.
|
|
Value *BroadcastI = nullptr;
|
|
|
|
if (TyBitWidth == 64) {
|
|
Value *const ExtractLo = B.CreateTrunc(PHI, B.getInt32Ty());
|
|
Value *const ExtractHi =
|
|
B.CreateTrunc(B.CreateLShr(PHI, 32), B.getInt32Ty());
|
|
CallInst *const ReadFirstLaneLo =
|
|
B.CreateIntrinsic(Intrinsic::amdgcn_readfirstlane, {}, ExtractLo);
|
|
CallInst *const ReadFirstLaneHi =
|
|
B.CreateIntrinsic(Intrinsic::amdgcn_readfirstlane, {}, ExtractHi);
|
|
Value *const PartialInsert = B.CreateInsertElement(
|
|
UndefValue::get(VecTy), ReadFirstLaneLo, B.getInt32(0));
|
|
Value *const Insert =
|
|
B.CreateInsertElement(PartialInsert, ReadFirstLaneHi, B.getInt32(1));
|
|
BroadcastI = B.CreateBitCast(Insert, Ty);
|
|
} else if (TyBitWidth == 32) {
|
|
|
|
BroadcastI = B.CreateIntrinsic(Intrinsic::amdgcn_readfirstlane, {}, PHI);
|
|
} else {
|
|
llvm_unreachable("Unhandled atomic bit width");
|
|
}
|
|
|
|
// Now that we have the result of our single atomic operation, we need to
|
|
// get our individual lane's slice into the result. We use the lane offset
|
|
// we previously calculated combined with the atomic result value we got
|
|
// from the first lane, to get our lane's index into the atomic result.
|
|
Value *LaneOffset = nullptr;
|
|
if (ValDivergent) {
|
|
LaneOffset = B.CreateIntrinsic(Intrinsic::amdgcn_wwm, Ty, ExclScan);
|
|
} else {
|
|
switch (Op) {
|
|
default:
|
|
llvm_unreachable("Unhandled atomic op");
|
|
case AtomicRMWInst::Add:
|
|
case AtomicRMWInst::Sub:
|
|
LaneOffset = buildMul(B, V, Mbcnt);
|
|
break;
|
|
case AtomicRMWInst::And:
|
|
case AtomicRMWInst::Or:
|
|
case AtomicRMWInst::Max:
|
|
case AtomicRMWInst::Min:
|
|
case AtomicRMWInst::UMax:
|
|
case AtomicRMWInst::UMin:
|
|
LaneOffset = B.CreateSelect(Cond, Identity, V);
|
|
break;
|
|
case AtomicRMWInst::Xor:
|
|
LaneOffset = buildMul(B, V, B.CreateAnd(Mbcnt, 1));
|
|
break;
|
|
}
|
|
}
|
|
Value *const Result = buildNonAtomicBinOp(B, Op, BroadcastI, LaneOffset);
|
|
|
|
if (IsPixelShader) {
|
|
// Need a final PHI to reconverge to above the helper lane branch mask.
|
|
B.SetInsertPoint(PixelExitBB->getFirstNonPHI());
|
|
|
|
PHINode *const PHI = B.CreatePHI(Ty, 2);
|
|
PHI->addIncoming(UndefValue::get(Ty), PixelEntryBB);
|
|
PHI->addIncoming(Result, I.getParent());
|
|
I.replaceAllUsesWith(PHI);
|
|
} else {
|
|
// Replace the original atomic instruction with the new one.
|
|
I.replaceAllUsesWith(Result);
|
|
}
|
|
}
|
|
|
|
// And delete the original.
|
|
I.eraseFromParent();
|
|
}
|
|
|
|
INITIALIZE_PASS_BEGIN(AMDGPUAtomicOptimizer, DEBUG_TYPE,
|
|
"AMDGPU atomic optimizations", false, false)
|
|
INITIALIZE_PASS_DEPENDENCY(LegacyDivergenceAnalysis)
|
|
INITIALIZE_PASS_DEPENDENCY(TargetPassConfig)
|
|
INITIALIZE_PASS_END(AMDGPUAtomicOptimizer, DEBUG_TYPE,
|
|
"AMDGPU atomic optimizations", false, false)
|
|
|
|
FunctionPass *llvm::createAMDGPUAtomicOptimizerPass() {
|
|
return new AMDGPUAtomicOptimizer();
|
|
}
|