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1 perf-stat(1)
2 ============
3
4 NAME
5 ----
6 perf-stat - Run a command and gather performance counter statistics
7
8 SYNOPSIS
9 --------
10 [verse]
11 'perf stat' [-e <EVENT> | --event=EVENT] [-a] <command>
12 'perf stat' [-e <EVENT> | --event=EVENT] [-a] -- <command> [<options>]
13 'perf stat' [-e <EVENT> | --event=EVENT] [-a] record [-o file] -- <command> [<options>]
14 'perf stat' report [-i file]
15
16 DESCRIPTION
17 -----------
18 This command runs a command and gathers performance counter statistics
19 from it.
20
21
22 OPTIONS
23 -------
24 <command>...::
25 Any command you can specify in a shell.
26
27 record::
28 See STAT RECORD.
29
30 report::
31 See STAT REPORT.
32
33 -e::
34 --event=::
35 Select the PMU event. Selection can be:
36
37 - a symbolic event name (use 'perf list' to list all events)
38
39 - a raw PMU event (eventsel+umask) in the form of rNNN where NNN is a
40 hexadecimal event descriptor.
41
42 - a symbolically formed event like 'pmu/param1=0x3,param2/' where
43 param1 and param2 are defined as formats for the PMU in
44 /sys/bus/event_source/devices/<pmu>/format/*
45
46 - a symbolically formed event like 'pmu/config=M,config1=N,config2=K/'
47 where M, N, K are numbers (in decimal, hex, octal format).
48 Acceptable values for each of 'config', 'config1' and 'config2'
49 parameters are defined by corresponding entries in
50 /sys/bus/event_source/devices/<pmu>/format/*
51
52 Note that the last two syntaxes support prefix and glob matching in
53 the PMU name to simplify creation of events accross multiple instances
54 of the same type of PMU in large systems (e.g. memory controller PMUs).
55 Multiple PMU instances are typical for uncore PMUs, so the prefix
56 'uncore_' is also ignored when performing this match.
57
58
59 -i::
60 --no-inherit::
61 child tasks do not inherit counters
62 -p::
63 --pid=<pid>::
64 stat events on existing process id (comma separated list)
65
66 -t::
67 --tid=<tid>::
68 stat events on existing thread id (comma separated list)
69
70
71 -a::
72 --all-cpus::
73 system-wide collection from all CPUs (default if no target is specified)
74
75 -c::
76 --scale::
77 scale/normalize counter values
78
79 -d::
80 --detailed::
81 print more detailed statistics, can be specified up to 3 times
82
83 -d: detailed events, L1 and LLC data cache
84 -d -d: more detailed events, dTLB and iTLB events
85 -d -d -d: very detailed events, adding prefetch events
86
87 -r::
88 --repeat=<n>::
89 repeat command and print average + stddev (max: 100). 0 means forever.
90
91 -B::
92 --big-num::
93 print large numbers with thousands' separators according to locale
94
95 -C::
96 --cpu=::
97 Count only on the list of CPUs provided. Multiple CPUs can be provided as a
98 comma-separated list with no space: 0,1. Ranges of CPUs are specified with -: 0-2.
99 In per-thread mode, this option is ignored. The -a option is still necessary
100 to activate system-wide monitoring. Default is to count on all CPUs.
101
102 -A::
103 --no-aggr::
104 Do not aggregate counts across all monitored CPUs.
105
106 -n::
107 --null::
108 null run - don't start any counters
109
110 -v::
111 --verbose::
112 be more verbose (show counter open errors, etc)
113
114 -x SEP::
115 --field-separator SEP::
116 print counts using a CSV-style output to make it easy to import directly into
117 spreadsheets. Columns are separated by the string specified in SEP.
118
119 -G name::
120 --cgroup name::
121 monitor only in the container (cgroup) called "name". This option is available only
122 in per-cpu mode. The cgroup filesystem must be mounted. All threads belonging to
123 container "name" are monitored when they run on the monitored CPUs. Multiple cgroups
124 can be provided. Each cgroup is applied to the corresponding event, i.e., first cgroup
125 to first event, second cgroup to second event and so on. It is possible to provide
126 an empty cgroup (monitor all the time) using, e.g., -G foo,,bar. Cgroups must have
127 corresponding events, i.e., they always refer to events defined earlier on the command
128 line. If the user wants to track multiple events for a specific cgroup, the user can
129 use '-e e1 -e e2 -G foo,foo' or just use '-e e1 -e e2 -G foo'.
130
131 If wanting to monitor, say, 'cycles' for a cgroup and also for system wide, this
132 command line can be used: 'perf stat -e cycles -G cgroup_name -a -e cycles'.
133
134 -o file::
135 --output file::
136 Print the output into the designated file.
137
138 --append::
139 Append to the output file designated with the -o option. Ignored if -o is not specified.
140
141 --log-fd::
142
143 Log output to fd, instead of stderr. Complementary to --output, and mutually exclusive
144 with it. --append may be used here. Examples:
145 3>results perf stat --log-fd 3 -- $cmd
146 3>>results perf stat --log-fd 3 --append -- $cmd
147
148 --pre::
149 --post::
150 Pre and post measurement hooks, e.g.:
151
152 perf stat --repeat 10 --null --sync --pre 'make -s O=defconfig-build/clean' -- make -s -j64 O=defconfig-build/ bzImage
153
154 -I msecs::
155 --interval-print msecs::
156 Print count deltas every N milliseconds (minimum: 10ms)
157 The overhead percentage could be high in some cases, for instance with small, sub 100ms intervals. Use with caution.
158 example: 'perf stat -I 1000 -e cycles -a sleep 5'
159
160 --interval-count times::
161 Print count deltas for fixed number of times.
162 This option should be used together with "-I" option.
163 example: 'perf stat -I 1000 --interval-count 2 -e cycles -a'
164
165 --timeout msecs::
166 Stop the 'perf stat' session and print count deltas after N milliseconds (minimum: 10 ms).
167 This option is not supported with the "-I" option.
168 example: 'perf stat --time 2000 -e cycles -a'
169
170 --metric-only::
171 Only print computed metrics. Print them in a single line.
172 Don't show any raw values. Not supported with --per-thread.
173
174 --per-socket::
175 Aggregate counts per processor socket for system-wide mode measurements. This
176 is a useful mode to detect imbalance between sockets. To enable this mode,
177 use --per-socket in addition to -a. (system-wide). The output includes the
178 socket number and the number of online processors on that socket. This is
179 useful to gauge the amount of aggregation.
180
181 --per-core::
182 Aggregate counts per physical processor for system-wide mode measurements. This
183 is a useful mode to detect imbalance between physical cores. To enable this mode,
184 use --per-core in addition to -a. (system-wide). The output includes the
185 core number and the number of online logical processors on that physical processor.
186
187 --per-thread::
188 Aggregate counts per monitored threads, when monitoring threads (-t option)
189 or processes (-p option).
190
191 -D msecs::
192 --delay msecs::
193 After starting the program, wait msecs before measuring. This is useful to
194 filter out the startup phase of the program, which is often very different.
195
196 -T::
197 --transaction::
198
199 Print statistics of transactional execution if supported.
200
201 STAT RECORD
202 -----------
203 Stores stat data into perf data file.
204
205 -o file::
206 --output file::
207 Output file name.
208
209 STAT REPORT
210 -----------
211 Reads and reports stat data from perf data file.
212
213 -i file::
214 --input file::
215 Input file name.
216
217 --per-socket::
218 Aggregate counts per processor socket for system-wide mode measurements.
219
220 --per-core::
221 Aggregate counts per physical processor for system-wide mode measurements.
222
223 -M::
224 --metrics::
225 Print metrics or metricgroups specified in a comma separated list.
226 For a group all metrics from the group are added.
227 The events from the metrics are automatically measured.
228 See perf list output for the possble metrics and metricgroups.
229
230 -A::
231 --no-aggr::
232 Do not aggregate counts across all monitored CPUs.
233
234 --topdown::
235 Print top down level 1 metrics if supported by the CPU. This allows to
236 determine bottle necks in the CPU pipeline for CPU bound workloads,
237 by breaking the cycles consumed down into frontend bound, backend bound,
238 bad speculation and retiring.
239
240 Frontend bound means that the CPU cannot fetch and decode instructions fast
241 enough. Backend bound means that computation or memory access is the bottle
242 neck. Bad Speculation means that the CPU wasted cycles due to branch
243 mispredictions and similar issues. Retiring means that the CPU computed without
244 an apparently bottleneck. The bottleneck is only the real bottleneck
245 if the workload is actually bound by the CPU and not by something else.
246
247 For best results it is usually a good idea to use it with interval
248 mode like -I 1000, as the bottleneck of workloads can change often.
249
250 The top down metrics are collected per core instead of per
251 CPU thread. Per core mode is automatically enabled
252 and -a (global monitoring) is needed, requiring root rights or
253 perf.perf_event_paranoid=-1.
254
255 Topdown uses the full Performance Monitoring Unit, and needs
256 disabling of the NMI watchdog (as root):
257 echo 0 > /proc/sys/kernel/nmi_watchdog
258 for best results. Otherwise the bottlenecks may be inconsistent
259 on workload with changing phases.
260
261 This enables --metric-only, unless overriden with --no-metric-only.
262
263 To interpret the results it is usually needed to know on which
264 CPUs the workload runs on. If needed the CPUs can be forced using
265 taskset.
266
267 --no-merge::
268 Do not merge results from same PMUs.
269
270 When multiple events are created from a single event specification,
271 stat will, by default, aggregate the event counts and show the result
272 in a single row. This option disables that behavior and shows
273 the individual events and counts.
274
275 Multiple events are created from a single event specification when:
276 1. Prefix or glob matching is used for the PMU name.
277 2. Aliases, which are listed immediately after the Kernel PMU events
278 by perf list, are used.
279
280 --smi-cost::
281 Measure SMI cost if msr/aperf/ and msr/smi/ events are supported.
282
283 During the measurement, the /sys/device/cpu/freeze_on_smi will be set to
284 freeze core counters on SMI.
285 The aperf counter will not be effected by the setting.
286 The cost of SMI can be measured by (aperf - unhalted core cycles).
287
288 In practice, the percentages of SMI cycles is very useful for performance
289 oriented analysis. --metric_only will be applied by default.
290 The output is SMI cycles%, equals to (aperf - unhalted core cycles) / aperf
291
292 Users who wants to get the actual value can apply --no-metric-only.
293
294 EXAMPLES
295 --------
296
297 $ perf stat -- make -j
298
299 Performance counter stats for 'make -j':
300
301 8117.370256 task clock ticks # 11.281 CPU utilization factor
302 678 context switches # 0.000 M/sec
303 133 CPU migrations # 0.000 M/sec
304 235724 pagefaults # 0.029 M/sec
305 24821162526 CPU cycles # 3057.784 M/sec
306 18687303457 instructions # 2302.138 M/sec
307 172158895 cache references # 21.209 M/sec
308 27075259 cache misses # 3.335 M/sec
309
310 Wall-clock time elapsed: 719.554352 msecs
311
312 CSV FORMAT
313 ----------
314
315 With -x, perf stat is able to output a not-quite-CSV format output
316 Commas in the output are not put into "". To make it easy to parse
317 it is recommended to use a different character like -x \;
318
319 The fields are in this order:
320
321 - optional usec time stamp in fractions of second (with -I xxx)
322 - optional CPU, core, or socket identifier
323 - optional number of logical CPUs aggregated
324 - counter value
325 - unit of the counter value or empty
326 - event name
327 - run time of counter
328 - percentage of measurement time the counter was running
329 - optional variance if multiple values are collected with -r
330 - optional metric value
331 - optional unit of metric
332
333 Additional metrics may be printed with all earlier fields being empty.
334
335 SEE ALSO
336 --------
337 linkperf:perf-top[1], linkperf:perf-list[1]