//===- DivergenceAnalysis.cpp --------- Divergence Analysis Implementation -==// // // 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 file implements a general divergence analysis for loop vectorization // and GPU programs. It determines which branches and values in a loop or GPU // program are divergent. It can help branch optimizations such as jump // threading and loop unswitching to make better decisions. // // GPU programs typically use the SIMD execution model, where multiple threads // in the same execution group have to execute in lock-step. Therefore, if the // code contains divergent branches (i.e., threads in a group do not agree on // which path of the branch to take), the group of threads has to execute all // the paths from that branch with different subsets of threads enabled until // they re-converge. // // Due to this execution model, some optimizations such as jump // threading and loop unswitching can interfere with thread re-convergence. // Therefore, an analysis that computes which branches in a GPU program are // divergent can help the compiler to selectively run these optimizations. // // This implementation is derived from the Vectorization Analysis of the // Region Vectorizer (RV). That implementation in turn is based on the approach // described in // // Improving Performance of OpenCL on CPUs // Ralf Karrenberg and Sebastian Hack // CC '12 // // This DivergenceAnalysis implementation is generic in the sense that it does // not itself identify original sources of divergence. // Instead specialized adapter classes, (LoopDivergenceAnalysis) for loops and // (GPUDivergenceAnalysis) for GPU programs, identify the sources of divergence // (e.g., special variables that hold the thread ID or the iteration variable). // // The generic implementation propagates divergence to variables that are data // or sync dependent on a source of divergence. // // While data dependency is a well-known concept, the notion of sync dependency // is worth more explanation. Sync dependence characterizes the control flow // aspect of the propagation of branch divergence. For example, // // %cond = icmp slt i32 %tid, 10 // br i1 %cond, label %then, label %else // then: // br label %merge // else: // br label %merge // merge: // %a = phi i32 [ 0, %then ], [ 1, %else ] // // Suppose %tid holds the thread ID. Although %a is not data dependent on %tid // because %tid is not on its use-def chains, %a is sync dependent on %tid // because the branch "br i1 %cond" depends on %tid and affects which value %a // is assigned to. // // The sync dependence detection (which branch induces divergence in which join // points) is implemented in the SyncDependenceAnalysis. // // The current DivergenceAnalysis implementation has the following limitations: // 1. intra-procedural. It conservatively considers the arguments of a // non-kernel-entry function and the return value of a function call as // divergent. // 2. memory as black box. It conservatively considers values loaded from // generic or local address as divergent. This can be improved by leveraging // pointer analysis and/or by modelling non-escaping memory objects in SSA // as done in RV. // //===----------------------------------------------------------------------===// #include "llvm/Analysis/DivergenceAnalysis.h" #include "llvm/Analysis/LoopInfo.h" #include "llvm/Analysis/Passes.h" #include "llvm/Analysis/PostDominators.h" #include "llvm/Analysis/TargetTransformInfo.h" #include "llvm/IR/Dominators.h" #include "llvm/IR/InstIterator.h" #include "llvm/IR/Instructions.h" #include "llvm/IR/IntrinsicInst.h" #include "llvm/IR/Value.h" #include "llvm/Support/Debug.h" #include "llvm/Support/raw_ostream.h" #include using namespace llvm; #define DEBUG_TYPE "divergence-analysis" // class DivergenceAnalysis DivergenceAnalysis::DivergenceAnalysis( const Function &F, const Loop *RegionLoop, const DominatorTree &DT, const LoopInfo &LI, SyncDependenceAnalysis &SDA, bool IsLCSSAForm) : F(F), RegionLoop(RegionLoop), DT(DT), LI(LI), SDA(SDA), IsLCSSAForm(IsLCSSAForm) {} void DivergenceAnalysis::markDivergent(const Value &DivVal) { assert(isa(DivVal) || isa(DivVal)); assert(!isAlwaysUniform(DivVal) && "cannot be a divergent"); DivergentValues.insert(&DivVal); } void DivergenceAnalysis::addUniformOverride(const Value &UniVal) { UniformOverrides.insert(&UniVal); } bool DivergenceAnalysis::updateTerminator(const Instruction &Term) const { if (Term.getNumSuccessors() <= 1) return false; if (auto *BranchTerm = dyn_cast(&Term)) { assert(BranchTerm->isConditional()); return isDivergent(*BranchTerm->getCondition()); } if (auto *SwitchTerm = dyn_cast(&Term)) { return isDivergent(*SwitchTerm->getCondition()); } if (isa(Term)) { return false; // ignore abnormal executions through landingpad } llvm_unreachable("unexpected terminator"); } bool DivergenceAnalysis::updateNormalInstruction(const Instruction &I) const { // TODO function calls with side effects, etc for (const auto &Op : I.operands()) { if (isDivergent(*Op)) return true; } return false; } bool DivergenceAnalysis::isTemporalDivergent(const BasicBlock &ObservingBlock, const Value &Val) const { const auto *Inst = dyn_cast(&Val); if (!Inst) return false; // check whether any divergent loop carrying Val terminates before control // proceeds to ObservingBlock for (const auto *Loop = LI.getLoopFor(Inst->getParent()); Loop != RegionLoop && !Loop->contains(&ObservingBlock); Loop = Loop->getParentLoop()) { if (DivergentLoops.find(Loop) != DivergentLoops.end()) return true; } return false; } bool DivergenceAnalysis::updatePHINode(const PHINode &Phi) const { // joining divergent disjoint path in Phi parent block if (!Phi.hasConstantOrUndefValue() && isJoinDivergent(*Phi.getParent())) { return true; } // An incoming value could be divergent by itself. // Otherwise, an incoming value could be uniform within the loop // that carries its definition but it may appear divergent // from outside the loop. This happens when divergent loop exits // drop definitions of that uniform value in different iterations. // // for (int i = 0; i < n; ++i) { // 'i' is uniform inside the loop // if (i % thread_id == 0) break; // divergent loop exit // } // int divI = i; // divI is divergent for (size_t i = 0; i < Phi.getNumIncomingValues(); ++i) { const auto *InVal = Phi.getIncomingValue(i); if (isDivergent(*Phi.getIncomingValue(i)) || isTemporalDivergent(*Phi.getParent(), *InVal)) { return true; } } return false; } bool DivergenceAnalysis::inRegion(const Instruction &I) const { return I.getParent() && inRegion(*I.getParent()); } bool DivergenceAnalysis::inRegion(const BasicBlock &BB) const { return (!RegionLoop && BB.getParent() == &F) || RegionLoop->contains(&BB); } // marks all users of loop-carried values of the loop headed by LoopHeader as // divergent void DivergenceAnalysis::taintLoopLiveOuts(const BasicBlock &LoopHeader) { auto *DivLoop = LI.getLoopFor(&LoopHeader); assert(DivLoop && "loopHeader is not actually part of a loop"); SmallVector TaintStack; DivLoop->getExitBlocks(TaintStack); // Otherwise potential users of loop-carried values could be anywhere in the // dominance region of DivLoop (including its fringes for phi nodes) DenseSet Visited; for (auto *Block : TaintStack) { Visited.insert(Block); } Visited.insert(&LoopHeader); while (!TaintStack.empty()) { auto *UserBlock = TaintStack.back(); TaintStack.pop_back(); // don't spread divergence beyond the region if (!inRegion(*UserBlock)) continue; assert(!DivLoop->contains(UserBlock) && "irreducible control flow detected"); // phi nodes at the fringes of the dominance region if (!DT.dominates(&LoopHeader, UserBlock)) { // all PHI nodes of UserBlock become divergent for (auto &Phi : UserBlock->phis()) { Worklist.push_back(&Phi); } continue; } // taint outside users of values carried by DivLoop for (auto &I : *UserBlock) { if (isAlwaysUniform(I)) continue; if (isDivergent(I)) continue; for (auto &Op : I.operands()) { auto *OpInst = dyn_cast(&Op); if (!OpInst) continue; if (DivLoop->contains(OpInst->getParent())) { markDivergent(I); pushUsers(I); break; } } } // visit all blocks in the dominance region for (auto *SuccBlock : successors(UserBlock)) { if (!Visited.insert(SuccBlock).second) { continue; } TaintStack.push_back(SuccBlock); } } } void DivergenceAnalysis::pushPHINodes(const BasicBlock &Block) { for (const auto &Phi : Block.phis()) { if (isDivergent(Phi)) continue; Worklist.push_back(&Phi); } } void DivergenceAnalysis::pushUsers(const Value &V) { for (const auto *User : V.users()) { const auto *UserInst = dyn_cast(User); if (!UserInst) continue; if (isDivergent(*UserInst)) continue; // only compute divergent inside loop if (!inRegion(*UserInst)) continue; Worklist.push_back(UserInst); } } bool DivergenceAnalysis::propagateJoinDivergence(const BasicBlock &JoinBlock, const Loop *BranchLoop) { LLVM_DEBUG(dbgs() << "\tpropJoinDiv " << JoinBlock.getName() << "\n"); // ignore divergence outside the region if (!inRegion(JoinBlock)) { return false; } // push non-divergent phi nodes in JoinBlock to the worklist pushPHINodes(JoinBlock); // JoinBlock is a divergent loop exit if (BranchLoop && !BranchLoop->contains(&JoinBlock)) { return true; } // disjoint-paths divergent at JoinBlock markBlockJoinDivergent(JoinBlock); return false; } void DivergenceAnalysis::propagateBranchDivergence(const Instruction &Term) { LLVM_DEBUG(dbgs() << "propBranchDiv " << Term.getParent()->getName() << "\n"); markDivergent(Term); // Don't propagate divergence from unreachable blocks. if (!DT.isReachableFromEntry(Term.getParent())) return; const auto *BranchLoop = LI.getLoopFor(Term.getParent()); // whether there is a divergent loop exit from BranchLoop (if any) bool IsBranchLoopDivergent = false; // iterate over all blocks reachable by disjoint from Term within the loop // also iterates over loop exits that become divergent due to Term. for (const auto *JoinBlock : SDA.join_blocks(Term)) { IsBranchLoopDivergent |= propagateJoinDivergence(*JoinBlock, BranchLoop); } // Branch loop is a divergent loop due to the divergent branch in Term if (IsBranchLoopDivergent) { assert(BranchLoop); if (!DivergentLoops.insert(BranchLoop).second) { return; } propagateLoopDivergence(*BranchLoop); } } void DivergenceAnalysis::propagateLoopDivergence(const Loop &ExitingLoop) { LLVM_DEBUG(dbgs() << "propLoopDiv " << ExitingLoop.getName() << "\n"); // don't propagate beyond region if (!inRegion(*ExitingLoop.getHeader())) return; const auto *BranchLoop = ExitingLoop.getParentLoop(); // Uses of loop-carried values could occur anywhere // within the dominance region of the definition. All loop-carried // definitions are dominated by the loop header (reducible control). // Thus all users have to be in the dominance region of the loop header, // except PHI nodes that can also live at the fringes of the dom region // (incoming defining value). if (!IsLCSSAForm) taintLoopLiveOuts(*ExitingLoop.getHeader()); // whether there is a divergent loop exit from BranchLoop (if any) bool IsBranchLoopDivergent = false; // iterate over all blocks reachable by disjoint paths from exits of // ExitingLoop also iterates over loop exits (of BranchLoop) that in turn // become divergent. for (const auto *JoinBlock : SDA.join_blocks(ExitingLoop)) { IsBranchLoopDivergent |= propagateJoinDivergence(*JoinBlock, BranchLoop); } // Branch loop is a divergent due to divergent loop exit in ExitingLoop if (IsBranchLoopDivergent) { assert(BranchLoop); if (!DivergentLoops.insert(BranchLoop).second) { return; } propagateLoopDivergence(*BranchLoop); } } void DivergenceAnalysis::compute() { for (auto *DivVal : DivergentValues) { pushUsers(*DivVal); } // propagate divergence while (!Worklist.empty()) { const Instruction &I = *Worklist.back(); Worklist.pop_back(); // maintain uniformity of overrides if (isAlwaysUniform(I)) continue; bool WasDivergent = isDivergent(I); if (WasDivergent) continue; // propagate divergence caused by terminator if (I.isTerminator()) { if (updateTerminator(I)) { // propagate control divergence to affected instructions propagateBranchDivergence(I); continue; } } // update divergence of I due to divergent operands bool DivergentUpd = false; const auto *Phi = dyn_cast(&I); if (Phi) { DivergentUpd = updatePHINode(*Phi); } else { DivergentUpd = updateNormalInstruction(I); } // propagate value divergence to users if (DivergentUpd) { markDivergent(I); pushUsers(I); } } } bool DivergenceAnalysis::isAlwaysUniform(const Value &V) const { return UniformOverrides.find(&V) != UniformOverrides.end(); } bool DivergenceAnalysis::isDivergent(const Value &V) const { return DivergentValues.find(&V) != DivergentValues.end(); } bool DivergenceAnalysis::isDivergentUse(const Use &U) const { Value &V = *U.get(); Instruction &I = *cast(U.getUser()); return isDivergent(V) || isTemporalDivergent(*I.getParent(), V); } void DivergenceAnalysis::print(raw_ostream &OS, const Module *) const { if (DivergentValues.empty()) return; // iterate instructions using instructions() to ensure a deterministic order. for (auto &I : instructions(F)) { if (isDivergent(I)) OS << "DIVERGENT:" << I << '\n'; } } // class GPUDivergenceAnalysis GPUDivergenceAnalysis::GPUDivergenceAnalysis(Function &F, const DominatorTree &DT, const PostDominatorTree &PDT, const LoopInfo &LI, const TargetTransformInfo &TTI) : SDA(DT, PDT, LI), DA(F, nullptr, DT, LI, SDA, false) { for (auto &I : instructions(F)) { if (TTI.isSourceOfDivergence(&I)) { DA.markDivergent(I); } else if (TTI.isAlwaysUniform(&I)) { DA.addUniformOverride(I); } } for (auto &Arg : F.args()) { if (TTI.isSourceOfDivergence(&Arg)) { DA.markDivergent(Arg); } } DA.compute(); } bool GPUDivergenceAnalysis::isDivergent(const Value &val) const { return DA.isDivergent(val); } bool GPUDivergenceAnalysis::isDivergentUse(const Use &use) const { return DA.isDivergentUse(use); } void GPUDivergenceAnalysis::print(raw_ostream &OS, const Module *mod) const { OS << "Divergence of kernel " << DA.getFunction().getName() << " {\n"; DA.print(OS, mod); OS << "}\n"; }