blob: 289c1b210692c33014722a14e480eece342df928 [file] [log] [blame]
Easwaran Raman019e0bf2016-06-03 22:54:26 +00001//===- ProfileSummaryInfo.cpp - Global profile summary information --------===//
2//
3// The LLVM Compiler Infrastructure
4//
5// This file is distributed under the University of Illinois Open Source
6// License. See LICENSE.TXT for details.
7//
8//===----------------------------------------------------------------------===//
9//
10// This file contains a pass that provides access to the global profile summary
11// information.
12//
13//===----------------------------------------------------------------------===//
14
15#include "llvm/Analysis/ProfileSummaryInfo.h"
16#include "llvm/IR/Metadata.h"
17#include "llvm/IR/Module.h"
18#include "llvm/IR/ProfileSummary.h"
19using namespace llvm;
20
21// The following two parameters determine the threshold for a count to be
22// considered hot/cold. These two parameters are percentile values (multiplied
23// by 10000). If the counts are sorted in descending order, the minimum count to
24// reach ProfileSummaryCutoffHot gives the threshold to determine a hot count.
25// Similarly, the minimum count to reach ProfileSummaryCutoffCold gives the
26// threshold for determining cold count (everything <= this threshold is
27// considered cold).
28
29static cl::opt<int> ProfileSummaryCutoffHot(
30 "profile-summary-cutoff-hot", cl::Hidden, cl::init(999000), cl::ZeroOrMore,
31 cl::desc("A count is hot if it exceeds the minimum count to"
32 " reach this percentile of total counts."));
33
34static cl::opt<int> ProfileSummaryCutoffCold(
35 "profile-summary-cutoff-cold", cl::Hidden, cl::init(999999), cl::ZeroOrMore,
36 cl::desc("A count is cold if it is below the minimum count"
37 " to reach this percentile of total counts."));
38
39// Find the minimum count to reach a desired percentile of counts.
40static uint64_t getMinCountForPercentile(SummaryEntryVector &DS,
41 uint64_t Percentile) {
42 auto Compare = [](const ProfileSummaryEntry &Entry, uint64_t Percentile) {
43 return Entry.Cutoff < Percentile;
44 };
45 auto It = std::lower_bound(DS.begin(), DS.end(), Percentile, Compare);
46 // The required percentile has to be <= one of the percentiles in the
47 // detailed summary.
48 if (It == DS.end())
49 report_fatal_error("Desired percentile exceeds the maximum cutoff");
50 return It->MinCount;
51}
52
53// The profile summary metadata may be attached either by the frontend or by
54// any backend passes (IR level instrumentation, for example). This method
55// checks if the Summary is null and if so checks if the summary metadata is now
56// available in the module and parses it to get the Summary object.
57void ProfileSummaryInfo::computeSummary() {
58 if (Summary)
59 return;
Dehao Chen5461d8b2016-09-28 21:00:58 +000060 auto *SummaryMD = M.getProfileSummary();
Easwaran Raman019e0bf2016-06-03 22:54:26 +000061 if (!SummaryMD)
62 return;
63 Summary.reset(ProfileSummary::getFromMD(SummaryMD));
64}
65
Dehao Chen84287ab2016-10-10 21:47:28 +000066/// Returns true if the function's entry is hot. If it returns false, it
67/// either means it is not hot or it is unknown whether it is hot or not (for
Piotr Padlewskif3d122c2016-09-30 21:05:49 +000068/// example, no profile data is available).
Dehao Chen84287ab2016-10-10 21:47:28 +000069bool ProfileSummaryInfo::isFunctionEntryHot(const Function *F) {
Easwaran Raman019e0bf2016-06-03 22:54:26 +000070 computeSummary();
71 if (!F || !Summary)
72 return false;
73 auto FunctionCount = F->getEntryCount();
74 // FIXME: The heuristic used below for determining hotness is based on
75 // preliminary SPEC tuning for inliner. This will eventually be a
76 // convenience method that calls isHotCount.
77 return (FunctionCount &&
78 FunctionCount.getValue() >=
79 (uint64_t)(0.3 * (double)Summary->getMaxFunctionCount()));
80}
81
Dehao Chen84287ab2016-10-10 21:47:28 +000082/// Returns true if the function's entry is a cold. If it returns false, it
83/// either means it is not cold or it is unknown whether it is cold or not (for
Piotr Padlewskif3d122c2016-09-30 21:05:49 +000084/// example, no profile data is available).
Dehao Chen84287ab2016-10-10 21:47:28 +000085bool ProfileSummaryInfo::isFunctionEntryCold(const Function *F) {
Easwaran Raman019e0bf2016-06-03 22:54:26 +000086 computeSummary();
Richard Trieufae70b62016-06-10 01:42:05 +000087 if (!F)
88 return false;
Easwaran Raman019e0bf2016-06-03 22:54:26 +000089 if (F->hasFnAttribute(Attribute::Cold)) {
90 return true;
91 }
Richard Trieufae70b62016-06-10 01:42:05 +000092 if (!Summary)
93 return false;
Easwaran Raman019e0bf2016-06-03 22:54:26 +000094 auto FunctionCount = F->getEntryCount();
95 // FIXME: The heuristic used below for determining coldness is based on
96 // preliminary SPEC tuning for inliner. This will eventually be a
97 // convenience method that calls isHotCount.
98 return (FunctionCount &&
99 FunctionCount.getValue() <=
100 (uint64_t)(0.01 * (double)Summary->getMaxFunctionCount()));
101}
102
Piotr Padlewskif3d122c2016-09-30 21:05:49 +0000103/// Compute the hot and cold thresholds.
Easwaran Raman019e0bf2016-06-03 22:54:26 +0000104void ProfileSummaryInfo::computeThresholds() {
105 if (!Summary)
106 computeSummary();
107 if (!Summary)
108 return;
109 auto &DetailedSummary = Summary->getDetailedSummary();
110 HotCountThreshold =
111 getMinCountForPercentile(DetailedSummary, ProfileSummaryCutoffHot);
112 ColdCountThreshold =
113 getMinCountForPercentile(DetailedSummary, ProfileSummaryCutoffCold);
114}
115
116bool ProfileSummaryInfo::isHotCount(uint64_t C) {
117 if (!HotCountThreshold)
118 computeThresholds();
119 return HotCountThreshold && C >= HotCountThreshold.getValue();
120}
121
122bool ProfileSummaryInfo::isColdCount(uint64_t C) {
123 if (!ColdCountThreshold)
124 computeThresholds();
125 return ColdCountThreshold && C <= ColdCountThreshold.getValue();
126}
127
Easwaran Raman019e0bf2016-06-03 22:54:26 +0000128INITIALIZE_PASS(ProfileSummaryInfoWrapperPass, "profile-summary-info",
129 "Profile summary info", false, true)
130
131ProfileSummaryInfoWrapperPass::ProfileSummaryInfoWrapperPass()
132 : ImmutablePass(ID) {
133 initializeProfileSummaryInfoWrapperPassPass(*PassRegistry::getPassRegistry());
134}
135
Dehao Chen5461d8b2016-09-28 21:00:58 +0000136bool ProfileSummaryInfoWrapperPass::doInitialization(Module &M) {
137 PSI.reset(new ProfileSummaryInfo(M));
138 return false;
139}
140
141bool ProfileSummaryInfoWrapperPass::doFinalization(Module &M) {
142 PSI.reset();
143 return false;
144}
145
Easwaran Raman019e0bf2016-06-03 22:54:26 +0000146char ProfileSummaryAnalysis::PassID;
Chandler Carruth164a2aa62016-06-17 00:11:01 +0000147ProfileSummaryInfo ProfileSummaryAnalysis::run(Module &M,
148 ModuleAnalysisManager &) {
Dehao Chen5461d8b2016-09-28 21:00:58 +0000149 return ProfileSummaryInfo(M);
Easwaran Raman019e0bf2016-06-03 22:54:26 +0000150}
151
Easwaran Raman019e0bf2016-06-03 22:54:26 +0000152PreservedAnalyses ProfileSummaryPrinterPass::run(Module &M,
Sean Silvafd03ac62016-08-09 00:28:38 +0000153 ModuleAnalysisManager &AM) {
Easwaran Raman019e0bf2016-06-03 22:54:26 +0000154 ProfileSummaryInfo &PSI = AM.getResult<ProfileSummaryAnalysis>(M);
155
156 OS << "Functions in " << M.getName() << " with hot/cold annotations: \n";
157 for (auto &F : M) {
158 OS << F.getName();
Dehao Chen84287ab2016-10-10 21:47:28 +0000159 if (PSI.isFunctionEntryHot(&F))
160 OS << " :hot entry ";
161 else if (PSI.isFunctionEntryCold(&F))
162 OS << " :cold entry ";
Easwaran Raman019e0bf2016-06-03 22:54:26 +0000163 OS << "\n";
164 }
165 return PreservedAnalyses::all();
166}
167
168char ProfileSummaryInfoWrapperPass::ID = 0;