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Access the performance-counter on Ubuntu/Linux

Performance Counters for Linux (PCL) is a new kernel-based subsystem that provides a framework for collecting and analyzing performance data. These events will vary based on the performance monitoring hardware and the software configuration of the system. Linux includes this kernel subsystem to collect data and the user-space tool perf to analyze the collected performance data.

Profiling is achieved by instrumenting either the program source code or its binary executable form using a tool called a profiler (or code profiler).

Linux hardware performance measurement using counters, trace-points, software performance counters, and dynamic probes. Perf as one of the two most commonly used performance counter profiling tools on Linux. Perf basically use to analyses the core internal bottleneck right up to the driver level.

Linux support many profiling tools like perf, trace-cmd, blktrace, strace and oprofile.

Below steps were tested on the XU3/XU4 platforms.

Build Pref tool

In order to build perf you need to install following pakages.

sudo apt-get install flex bison libdw-dev libnewt-dev binutils-dev libaudit-dev libgtk2.0-dev libperl-dev libpython-dev libunwind-*

Ensure the following kernel config options are enabled

$ zegrep "CONFIG_PERF_EVENTS|CONFIG_HW_PERF_EVENTS" /proc/config.gz 
CONFIG_PERF_EVENTS support for various performance events provided by software and hardware.
CONFIG_HW_PERF_EVENTS support enables hardware performance counter support for perf events.
CONFIG_CGROUP_PERF perf_event per-cpu per-container group (cgroup) monitoring.
CONFIG_PERF_USE_VMALLOC some architectures that have d-cache aliasing issues, such as Sparc and ARM, should select PERF_USE_VMALLOC in order to avoid these for perf mmap.
CONFIG_FRAME_POINTER kernel image will be slightly larger and slower, but it will give very useful debugging information
CONFIG_KALLSYMS kernel print out symbolic crash information and symbolic stack backtraces.
CONFIG_TRACEPOINTS Kernel event like usb, wireless event, malie event can handled using tracepoint.
CONFIG_FTRACE Kernel ftrace is an internal tracer designed to help out developers and designers of systems to find what is going on inside the kernel.
CONFIG_KPROBES Events are similar to tracepoint based events
CONFIG_UPROBES Uprobe based trace events are similar to kprobe based trace events.
CONFIG_LOCK_STAT Kernel lock stats is required.
CONFIG_DEBUG_INFO Kernel enable debug info.

Enable PMU setting in Device tree Perf events can be enable in the exynos5422_evt0.dtsi.

root@odroidcu4n:/usr/src/odroidxu3-3kr# git diff arch/arm/boot/dts/exynos5422_evt0.dtsi
diff --git a/arch/arm/boot/dts/exynos5422_evt0.dtsi b/arch/arm/boot/dts/exynos5422_evt0.dtsi
index 2f9c95d..74c7c7e 100755
--- a/arch/arm/boot/dts/exynos5422_evt0.dtsi
+++ b/arch/arm/boot/dts/exynos5422_evt0.dtsi
@@ -91,6 +91,17 @@

+       arm-pmu {
+               /* compatible = "arm,cortex-a15-pmu";
+                  interrupt-parent = <&combiner>;
+                  interrupts = <1 2>, <7 0>, <16 6>, <19 2>;
+                */
+               ompatible = "arm,cortex-a7-pmu";
+               interrupt-parent = <&gic>;
+               interrupts = <0 192 4>, <0 193 4>, <0 194 4>, <0 195 4>;
+       };
        watchdog@10020000 {
                compatible = "samsung,s3c2410-wdt";
                reg = <0x101D0000 0x100>;

Note: Perf counters for arm,cotrex-a7-pmu is supported in the kernel. But not for arm,cortex-a15-pmu.

Once kernel is build using above config flags. Perf could be install using following command. If the distribution supports it.

 sudo apt-get install linux-tools 

Otherwise you need to build the took from the kernel source code tree.

# getting the source

 $ git clone --depth 1 https://github.com/hardkernel/linux.git -b odroidxu3-3.10.y 
 $ cd linux/tools/perf
 $ make -j `getconf _NPROCESSORS_ONLN` perf

# Install perf tool.

 $ cp perf /usr/bin/

# test perf is installed and running.

$ perf list

List of pre-defined events (to be used in -e):
  cpu-cycles OR cycles                               [Hardware event]
  instructions                                       [Hardware event]
  cache-references                                   [Hardware event]
  cache-misses                                       [Hardware event]
  branch-instructions OR branches                    [Hardware event]
  branch-misses                                      [Hardware event]
  bus-cycles                                         [Hardware event]
  stalled-cycles-frontend OR idle-cycles-frontend    [Hardware event]
  stalled-cycles-backend OR idle-cycles-backend      [Hardware event]
  ref-cycles                                         [Hardware event]

  cpu-clock                                          [Software event]
  task-clock                                         [Software event]
  page-faults OR faults                              [Software event]
  context-switches OR cs                             [Software event]
  cpu-migrations OR migrations                       [Software event]
  minor-faults                                       [Software event]
  major-faults                                       [Software event]

Perf tool Features

perf tool measures the performance of the application and trace down to the kernel event that got triggers.

perf help

root@odroidcu4n:~# perf --help

 usage: perf [--version] [--help] COMMAND [ARGS]

 The most commonly used perf commands are:
   annotate        Read perf.data (created by perf record) and display annotated                                                                               code
   archive         Create archive with object files with build-ids found in perf                                                                              .data file
   bench           General framework for benchmark suites
   buildid-cache   Manage build-id cache.
   buildid-list    List the buildids in a perf.data file
   diff            Read two perf.data files and display the differential profile
   evlist          List the event names in a perf.data file
   inject          Filter to augment the events stream with additional informati                                                                              on
   kmem            Tool to trace/measure kernel memory(slab) properties
   kvm             Tool to trace/measure kvm guest os
   list            List all symbolic event types
   lock            Analyze lock events
   mem             Profile memory accesses
   record          Run a command and record its profile into perf.data
   report          Read perf.data (created by perf record) and display the profi                                                                              le
   sched           Tool to trace/measure scheduler properties (latencies)
   script          Read perf.data (created by perf record) and display trace out                                                                              put
   stat            Run a command and gather performance counter statistics
   test            Runs sanity tests.
   timechart       Tool to visualize total system behavior during a workload
   top             System profiling tool.
   trace           strace inspired tool
   probe           Define new dynamic tracepoints

 See 'perf help COMMAND' for more information on a specific command.

perf is used with several sub commands:

    stat: 	This perf command provides overall statistics for common performance events,
                including instructions executed and clock cycles consumed.
                Options allow selection of events other than the default measurement events.
    top: 	This perf command help monitor top-like dynamic view of hottest functions.
    record: 	This perf command records performance data into a file which can be later analyzed using perf report.
    report: 	This perf command reads the performance data from a file and analyzes the recorded data.
    list: 	This perf command lists the events available on a particular machine.

Perf Example

Perf stats:

~# perf stat -B dd if=/dev/zero of=/dev/null count=1000000
1000000+0 records in
1000000+0 records out
512000000 bytes (512 MB) copied, 1.41271 s, 362 MB/s

 Performance counter stats for 'dd if=/dev/zero of=/dev/null count=1000000':

       1414.727540 task-clock                #    0.998 CPUs utilized
                10 context-switches          #    0.007 K/sec
                 0 cpu-migrations            #    0.000 K/sec
               148 page-faults               #    0.105 K/sec
   <not supported> cycles
   <not supported> stalled-cycles-frontend
   <not supported> stalled-cycles-backend
   <not supported> instructions
   <not supported> branches
   <not supported> branch-misses

       1.416998532 seconds time elapsed

Node: perf stats provide summary of the kernel events.

Perf top:

Suppose we want to run-time analyses of the kernel events just like user space top/htop use below command.

perf top -z

~# perf top -z
Samples: 127K of event 'cpu-clock', Event count (approx.): 3315322731
 98.92%  [kernel].head.text      [k] 0xc0023f10
  0.08%  perf                    [.] sort__dso_cmp
  0.07%  perf                    [.] perf_top__mmap_read_idx
  0.06%  perf                    [.] perf_evsel__parse_sample
  0.06%  libc-2.21.so            [.] memset
  0.06%  perf                    [.] perf_evlist__mmap_read
  0.05%  perf                    [.] add_hist_entry.isra.8
  0.05%  libpthread-2.21.so      [.] pthread_mutex_lock
  0.05%  libslang.so.2.3.0       [.] 0x000630ce
  0.04%  perf                    [.] perf_event__preprocess_sample
  0.03%  libpthread-2.21.so      [.] __pthread_mutex_unlock_usercnt
  0.03%  libslang.so.2.3.0       [.] SLsmg_write_chars
  0.03%  perf                    [.] symbols__insert
  0.03%  libc-2.21.so            [.] __libc_calloc
  0.03%  perf                    [.] maps__find
  0.03%  libc-2.21.so            [.] strstr
  0.02%  libc-2.21.so            [.] strcmp
  0.02%  perf                    [.] dump_printf
  0.02%  perf                    [.] dso__find_symbol
  0.01%  perf                    [.] symbol_filter 
Note: You can watch all the supported list events on the perf top.

perf top -z -e task-clock

 ~# perf top -z -e task-clock
  Samples: 1M of event 'task-clock', Event count (approx.): 2069462202
 99.22%  [kernel].head.text          [k] 0xc0023f10
  0.06%  perf                        [.] sort__dso_cmp
  0.06%  libc-2.21.so                [.] memset
  0.06%  perf                        [.] add_hist_entry.isra.8
  0.06%  perf                        [.] perf_evlist__mmap_read
  0.06%  perf                        [.] perf_top__mmap_read_idx
  0.05%  perf                        [.] perf_evsel__parse_sample
  0.04%  perf                        [.] perf_event__preprocess_sample
  0.04%  libpthread-2.21.so          [.] pthread_mutex_lock
  0.03%  libslang.so.2.3.0           [.] SLsmg_write_chars
  0.03%  libpthread-2.21.so          [.] __pthread_mutex_unlock_usercnt
  0.03%  perf                        [.] maps__find
  0.03%  libslang.so.2.3.0           [.] 0x000548d2
  0.03%  perf                        [.] dump_printf
  0.03%  libc-2.21.so                [.] strcmp

Perf record

perf record is use to record the kernel event into perf.data, that file can then be analyzed, possibly on another machine, using the perf report and perf annotate commands.

~# perf record dd if=/dev/zero of=/dev/null count=1000000
1000000+0 records in
1000000+0 records out
512000000 bytes (512 MB) copied, 1.50392 s, 340 MB/s
[ perf record: Woken up 1 times to write data ]
[ perf record: Captured and wrote 0.232 MB perf.data (~10121 samples) ]
~# ls perf.data

Perf report

Samples collected by perf record are saved into a binary file called, by default, perf.data. The perf report command reads this file and generates a concise execution profile.

Samples: 6K of event 'cpu-clock', Event count (approx.): 1503750000
 13.68%  dd  [kernel.kallsyms]  [k] vector_swi
 10.97%  dd  [kernel.kallsyms]  [k] lock_acquire
  9.64%  dd  dd                 [.] 0x000020fc
  7.45%  dd  [kernel.kallsyms]  [k] __srcu_read_lock
  7.27%  dd  [kernel.kallsyms]  [k] __srcu_read_unlock
  6.42%  dd  [kernel.kallsyms]  [k] __clear_user_std
  6.12%  dd  [kernel.kallsyms]  [k] lock_release
  4.66%  dd  libc-2.21.so       [.] __GI___libc_read
  4.59%  dd  libc-2.21.so       [.] __GI___libc_write
  4.24%  dd  [kernel.kallsyms]  [k] fsnotify
  3.14%  dd  [kernel.kallsyms]  [k] vfs_write
  2.81%  dd  [kernel.kallsyms]  [k] vfs_read
  2.79%  dd  libc-2.21.so       [.] __GI___memcpy_neon
  2.76%  dd  [kernel.kallsyms]  [k] fget_light
  1.78%  dd  [kernel.kallsyms]  [k] SyS_write
  1.75%  dd  [kernel.kallsyms]  [k] SyS_read
  1.68%  dd  [kernel.kallsyms]  [k] rw_verify_area
  1.60%  dd  [kernel.kallsyms]  [k] ret_fast_syscall
  1.36%  dd  [kernel.kallsyms]  [k] read_zero
  1.10%  dd  [kernel.kallsyms]  [k] local_restart
  1.08%  dd  [kernel.kallsyms]  [k] __fsnotify_parent
  0.90%  dd  [kernel.kallsyms]  [k] debug_smp_processor_id
en/odroid_linux_performance_counter.txt · Last modified: 2016/09/19 15:22 by moon.linux
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