//===- ProfileSummaryInfo.cpp - Global profile summary information --------===// // // The LLVM Compiler Infrastructure // // This file is distributed under the University of Illinois Open Source // License. See LICENSE.TXT for details. // //===----------------------------------------------------------------------===// // // This file contains a pass that provides access to the global profile summary // information. // //===----------------------------------------------------------------------===// #include "llvm/Analysis/ProfileSummaryInfo.h" #include "llvm/IR/Metadata.h" #include "llvm/IR/Module.h" #include "llvm/IR/ProfileSummary.h" using namespace llvm; // The following two parameters determine the threshold for a count to be // considered hot/cold. These two parameters are percentile values (multiplied // by 10000). If the counts are sorted in descending order, the minimum count to // reach ProfileSummaryCutoffHot gives the threshold to determine a hot count. // Similarly, the minimum count to reach ProfileSummaryCutoffCold gives the // threshold for determining cold count (everything <= this threshold is // considered cold). static cl::opt<int> ProfileSummaryCutoffHot( "profile-summary-cutoff-hot", cl::Hidden, cl::init(999000), cl::ZeroOrMore, cl::desc("A count is hot if it exceeds the minimum count to" " reach this percentile of total counts.")); static cl::opt<int> ProfileSummaryCutoffCold( "profile-summary-cutoff-cold", cl::Hidden, cl::init(999999), cl::ZeroOrMore, cl::desc("A count is cold if it is below the minimum count" " to reach this percentile of total counts.")); // Find the minimum count to reach a desired percentile of counts. static uint64_t getMinCountForPercentile(SummaryEntryVector &DS, uint64_t Percentile) { auto Compare = [](const ProfileSummaryEntry &Entry, uint64_t Percentile) { return Entry.Cutoff < Percentile; }; auto It = std::lower_bound(DS.begin(), DS.end(), Percentile, Compare); // The required percentile has to be <= one of the percentiles in the // detailed summary. if (It == DS.end()) report_fatal_error("Desired percentile exceeds the maximum cutoff"); return It->MinCount; } // The profile summary metadata may be attached either by the frontend or by // any backend passes (IR level instrumentation, for example). This method // checks if the Summary is null and if so checks if the summary metadata is now // available in the module and parses it to get the Summary object. void ProfileSummaryInfo::computeSummary() { if (Summary) return; auto *SummaryMD = M.getProfileSummary(); if (!SummaryMD) return; Summary.reset(ProfileSummary::getFromMD(SummaryMD)); } // Returns true if the function is a hot function. If it returns false, it // either means it is not hot or it is unknown whether F is hot or not (for // example, no profile data is available). bool ProfileSummaryInfo::isHotFunction(const Function *F) { computeSummary(); if (!F || !Summary) return false; auto FunctionCount = F->getEntryCount(); // FIXME: The heuristic used below for determining hotness is based on // preliminary SPEC tuning for inliner. This will eventually be a // convenience method that calls isHotCount. return (FunctionCount && FunctionCount.getValue() >= (uint64_t)(0.3 * (double)Summary->getMaxFunctionCount())); } // Returns true if the function is a cold function. If it returns false, it // either means it is not cold or it is unknown whether F is cold or not (for // example, no profile data is available). bool ProfileSummaryInfo::isColdFunction(const Function *F) { computeSummary(); if (!F) return false; if (F->hasFnAttribute(Attribute::Cold)) { return true; } if (!Summary) return false; auto FunctionCount = F->getEntryCount(); // FIXME: The heuristic used below for determining coldness is based on // preliminary SPEC tuning for inliner. This will eventually be a // convenience method that calls isHotCount. return (FunctionCount && FunctionCount.getValue() <= (uint64_t)(0.01 * (double)Summary->getMaxFunctionCount())); } // Compute the hot and cold thresholds. void ProfileSummaryInfo::computeThresholds() { if (!Summary) computeSummary(); if (!Summary) return; auto &DetailedSummary = Summary->getDetailedSummary(); HotCountThreshold = getMinCountForPercentile(DetailedSummary, ProfileSummaryCutoffHot); ColdCountThreshold = getMinCountForPercentile(DetailedSummary, ProfileSummaryCutoffCold); } bool ProfileSummaryInfo::isHotCount(uint64_t C) { if (!HotCountThreshold) computeThresholds(); return HotCountThreshold && C >= HotCountThreshold.getValue(); } bool ProfileSummaryInfo::isColdCount(uint64_t C) { if (!ColdCountThreshold) computeThresholds(); return ColdCountThreshold && C <= ColdCountThreshold.getValue(); } ProfileSummaryInfo *ProfileSummaryInfoWrapperPass::getPSI(Module &M) { if (!PSI) PSI.reset(new ProfileSummaryInfo(M)); return PSI.get(); } INITIALIZE_PASS(ProfileSummaryInfoWrapperPass, "profile-summary-info", "Profile summary info", false, true) ProfileSummaryInfoWrapperPass::ProfileSummaryInfoWrapperPass() : ImmutablePass(ID) { initializeProfileSummaryInfoWrapperPassPass(*PassRegistry::getPassRegistry()); } char ProfileSummaryAnalysis::PassID; ProfileSummaryInfo ProfileSummaryAnalysis::run(Module &M, ModuleAnalysisManager &) { return ProfileSummaryInfo(M); } // FIXME: This only tests isHotFunction and isColdFunction and not the // isHotCount and isColdCount calls. PreservedAnalyses ProfileSummaryPrinterPass::run(Module &M, AnalysisManager<Module> &AM) { ProfileSummaryInfo &PSI = AM.getResult<ProfileSummaryAnalysis>(M); OS << "Functions in " << M.getName() << " with hot/cold annotations: \n"; for (auto &F : M) { OS << F.getName(); if (PSI.isHotFunction(&F)) OS << " :hot "; else if (PSI.isColdFunction(&F)) OS << " :cold "; OS << "\n"; } return PreservedAnalyses::all(); } char ProfileSummaryInfoWrapperPass::ID = 0;