Using Kernel Function Trace

Using Kernel Function Trace Ver. 0.1.1 -- 2007-04-26 Most material provided by Sony

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This document describes how to use Kernel Function Trace with the Linux kernel. It assumes you have already applied the KFT patch to your kernel, or that it was otherwise previously integrated with your kernel source code.

Introduction
Kernel Function Trace (KFT) is a kernel function tracing system, which examines every function entry and exit in the Linux kernel. The KFT system provides for capturing a subset of these events along with timing and other details. KFT is different from other kernel tracing systems in that it is designed to be able to filter the events by the duration of the function calls. Thus, KFT is good for finding out where time is spent in functions and sub-routines in the kernel. When used in unfiltered mode, KFT is very useful to collect information about the flow of control in the kernel, which can help with debugging or optimizing kernel code.

The main mode of operation with KFT is by running a "dynamic" trace. That is, you start the kernel as usual, then, using the interface, configure a trace, start it, and retrieve the trace data immediately.

However, another special mode of operation is available for performing bootup time tracing. In this mode, the configuration for a trace is compiled statically into the kernel. This is sometimes referred to as "static" mode. This mode is useful for getting a trace of the kernel during system bootup, before user space is running and before any services are available to configure and start a trace. This mode is particularly helpful to find problems with kernel bootup time.

In either case, you specify a KFT configuration for the trace run. The configuration tells how to automatically start and stop the trace, whether to include interrupts as part of the trace, and whether to filter the event data by various criteria (for minimum function duration, only certain listed functions, etc.)

When a trace is complete, the event data collected during the trace is retrieved by reading from.

Finally, KFT provides tools to process and analyze the data in a KFT trace.

Quick Overview
Quick overview for using KFT in dynamic mode:
 * Configure your kernel with support for KFT
 * Compile your kernel
 * Boot the kernel
 * Write a configuration to
 * Start the trace
 * Read the trace data from
 * Process the data
 * Use to convert addresses to function names
 * use to analyze trace data

- Quick overview for using KFT during bootup:
 * Configure your kernel with support for KFT and KFT_STATIC_RUN
 * Edit the configuration in
 * Compile your kernel
 * Boot the kernel
 * The run should be triggered during bootup
 * Read the trace data from
 * Process the data
 * Use to convert addresses to function names
 * use to analyze trace data

Configuring the kernel for using KFT
Configure your kernel to support KFT by editing the kernel configuration (.config) file.

For example, if you are using 'make menuconfig', set the following option under the "Kernel Hacking" menu.

Kernel Hacking ---> [*] Kernel Function Trace

Save this configuration. This will set the option CONFIG_KFT=y in your kernel .config file.

If you wish to perform a trace during kernel bootup time, also configure for KFT static mode.

For example, if you are using 'make menuconfig', set the following option under the "Kernel Hacking" menu.

Kernel Hacking ---> [*] Kernel Function Trace [*] Static function tracing configuration

Save this configuration. This will set the following options in your kernel .config file:

CONFIG_KFT=y CONFIG_KFT_STATIC_RUN=y

Editing the static trace run configuration (optional)
If you are performing a "static" trace, edit the file to set the configuration for the trace run you wish to perform at system boot. (see the next section "Configuring the trace run" for details on the trace configuration syntax and options.) Note that even if you perform or bootup time trace, you can still perform dynamic traces any time while the system is running.

Compiling the kernel
Build the kernel, and install it to boot on your target machine.

Make sure to save the file from this build, since it will be used later when processing the trace data.

If you get an error compiling the kernel, see the next section on trouble-shooting configuration problems.

Configuring the trace run
To configure your trace, you write a trace configuration file. This file specifies when to start and stop the trace, and what events to save as part of the trace data.

Here is a sample configuration file, commonly used during bootup:

begin trigger start entry start_kernel trigger stop entry to_userspace filter mintime 500 end

This trace says to:
 * start tracing when the function "start_kernel" is entered
 * stop tracing when the function "to_userspace" is entered
 * don't save the events for any function that takes less than 500 microseconds

The function "start_kernel" is the first C function executed by the kernel on startup. The function "to_userspace" is a function called immediately before execution is transferred to the first user space program (usually ). This trace configuration says to start tracing immediately when the kernel starts executing, and stop tracing right before the first user space program runs. It will only save in the trace buffer a record of functions which took longer than 500 microseconds to execute.

Triggers
Triggers, in the configuration, are used to start and stop the data collection of the trace system. Triggers can be based on a function entry or exit event, or on the passage of time. The stop trigger is used to control the amount of data collected. The trace will automatically stop if the buffer runs out of space for trace data.

Time values are expressed in decimal microseconds. The start time is relative to booting, or to the initialization of the clock used for tracing (usually, whatever clock is being used by the internal kernel function sched_clock. A stop time is relative to the start time.)

Here are some examples:
 * statement:
 * meaning: start tracing when the kernel enters the function "start_kernel"


 * statement:
 * meaning: stop tracing when the kernel exits the function "do_fork"


 * statement:
 * meaning: start tracing 10,000,000 microseconds (10 seconds) after booting


 * statement:
 * meaning: stop tracing 5,000 microseconds (5 milliseconds) after the trace starts

Filters
Filters control what data is collected during the trace. Since every kernel function entry and exit is a possible candidate for trace event recording, KFT can potentially generate a LOT of data. To control how much data is recorded, it is customary to set filters used during the trace.

You can filter by function duration, by interrupt context, or limit the trace to specific functions. Times in a filter statement are expressed in microseconds. Functions in a filter function list can be expressed by name in a static configuration, but must be expressed by addressed in a dynamic configuration.

Here are some examples:
 * statement:
 * meaning: only keep functions in the trace which last at least 100 microseconds


 * statement:
 * meaning: discard functions in the trace which last more than 5,000,000 microseconds (5 seconds)


 * statement:
 * meaning: discard functions in the trace which are executed when the processor is in interrupt context


 * statement:
 * meaning: retain only the functions in the trace which are executed when the processor is in interrupt context


 * statement:
 * meaning: retain only events for the functions do_fork and sys_read.

Configuration scenarios
For other commands you can include in the trace configuration, see Appendix A

Handling a link error
You may get an error linking the kernel if you reference certain functions in the that are not visible globally. If you see a linker error like the following: "undefined reference to `foo_func'", then you can resolve this by making visible. Usually, this means finding the declaration of, and removing the keyword from its declaration.

Initiating a KFT run
If you are running in static mode, upon booting the kernel, the trace should be initiated and run automatically, depending on the trigger and filter settings in ).

If you are running in dynamic mode, then you initiate a run by writing a KFT configuration to, then "priming" the run.

Traces go through a state machine (a series of event transitions) in order to actually start collecting data. This is to allow trace collection to be separated from trace setup and preparation. The trace configuration specifies a start trigger, which will initiate the collection of data. When the configuration is written to, it is not ready to run yet. Making the trace ready to run is called "priming" it.

Therefore, the normal sequence of events for a trace run is:
 * 1) . The user writes the configuration file, usually using an editor and creating the file in the local filesystem. Helper scripts can be used to auto-generate simple configurations for common tasks.
 * 2) . There is a helper script scripts/sym2addr, which converts function names in the configuration file to addresses. This can be copied to the target, along with the current System.map file, to make preparing the configuration file easier.
 * 3) The user writes the configuration to KFT (via /proc/kft)
 * 4) e.g.
 * 5) If needed, the user prepares for trace by setting up programs to run.
 * 6) The user primes the trace
 * 7) e.g.
 * 8) A kernel event occurs which starts the trace (the start trigger fires)
 * 9) Trace data is collected
 * 10) A kernel event or buffer exhaustion stops the trace (that is, the stop trigger fires, or the buffer runs out)

It is possible to force the start or end of a trace using the interface. This overrides steps 5 or 7, which are normally performed by triggers in the trace configuration.
 * To manually start a trace:
 * To manually stop a trace:

You can get the status of the current trace by reading.

To see the status of the currently configured trace:

Reading the trace data
When the trace is running, the trace data is accumulated in a buffer inside the kernel. Once the trace data is collected, you can retrieve if from the kernel by copying the data from. Usually, you will want to save the data to a file for later analysis.

Here is an example:

Processing the data
Copy the file from the target to your host development system (on which the kernel source resides), for example, into the directory on your host machine.

The raw file will only have numeric function addresses. To translate these addresses to symbols, use the program, along with the file which was produced when you built the kernel.

Change directory to your kernel source top-level directory and run to translate addresses to symbols:

Example: $ scripts/addr2sym /tmp/kft.log -m System.map > /tmp/kft.lst

Here is an example fragment of output from on a TI OMAP Innovator. Entry and Delta value are times in microseconds. The Entry time is the time time since machine boot, and the Delta time is the time between the function entry and exit.

Entry     Delta      PID            Function                    Called At       -   -   -- 23662      1333       0                    con_init   console_init+0x78 25375    209045       0             calibrate_delay   start_kernel+0xf0 234425    106067       0                    mem_init   start_kernel+0x130 234432    105278       0       free_all_bootmem_node   mem_init+0xc8 234435    105270       0       free_all_bootmem_core   free_all_bootmem_node+0x28 340498      4005       0       kmem_cache_sizes_init   start_kernel+0x134

In the above, took about 209 milliseconds.

took 106 msecs, the majority of which (105 msecs) was in (which is called by, which is called by ).

If you just look at the function duration, it may appear that lots of time is being spent in certain functions, when in reality those functions are "thin", and the real time-consuming function is one of its children. Thus, rather than look just at the function Delta (or duration), you should look at the function entry times. If there is a big leap in the function entry times, that means a lot of time was consumed in the function right before the leap.

In the example above, there is a leap from 234435 to 340498 (about 100 milliseconds) between the Entry times for and. No other functions Entries (lasting more than 500 microseconds, based on the KFT configuration used) were recorded during this time, so this means tha this time was spent in.

CPU-yielding functions like schedule_timeout, switch_to, kernel_thread, etc. can have large Delta values due intervening scheduling activity, but these can often be quickly filtered out by following the "leaps in the entry times in the Entry column" above.

Analyzing the data with kd
You can use the program to further process the data. It is very helpful at this point to have resolved the names of the functions in the log file, but it is not strictly necessary. The program function reads a KFT log file and determines the time spent locally in a function versus the time spent in sub-routines. It sorts the functions by the total time spent in the function, and can display various extra pieces of information about each function (number of times called, average call time, etc.)

Also can be used to re-generate a function call trace from the trace log. This can be very helpful to see the sequence of execution (including interrupts, context switches and returns) of the code that was traced.

Use "./kd -h" for more usage help.

As of this writing, KFT and kd do not correctly account for scheduling jumps. The time reported by KFT for function duration is just wall time from entry to exit.

For examples of what kd can show, try the following commands on the sample kft output file:

[show all functions sorted by time] $ ./kd kftsample.lst | less

[show only 10 top time-consuming functions] $ ./kd -n 10 kftsample.lst

[show only functions lasting longer than 100 milliseconds] $ ./kd -t 100000 kftsample.lst

[show each function's most time-consuming child, and the number of times it was called. (You may want to make your terminal wider for this output.)] $ ./kd -f Fcatlmn kftsample.lst

[show call traces] $ ./kd -c kftsample.lst

[show call traces with timing data, and functions interlaced] $ ./kd -c -l -i kftsample.lst

Note that the call trace mode may not produce accurate results if weird filtering was used in the trace config (routines that are part of the call tree may be missing, which will confuse kd).

KFT utilities
KFT includes the following helper scripts which are located in the kernel directory:
 * mkkftrun.pl - used during building the kernel to convert a configuration file into a C file to be compiled into the kernel. This is run automatically by the kernel make system.  Users of KFT should not need to worry about this.
 * sym2addr - convert function names to addresses in a KFT configuration file (for a dynamic trace). This is only used if a dynamic configuration has function names.
 * addr2sym - convert function addresses to symbols in the trace data
 * kd - KFT dump - does filtering, sorting, analysis and trace formatting of KFT trace logs

The use of most these are described elsewhere in this document. But this list is here for the sake of completeness.

[ should provide usage for each command? ]

Tips for using KFT
(searching child functions for local time)
 * How to look for long-duration functions?
 * how to avoid being fooled by bogus local times
 * How to see a detailed function trace (don't use a min-filter)
 * How to interpret trace results including context switches

Online Resources
Here's a presentation about KFT usage: (Actually, the presentation covers KFT's predecessor KFI, but all the information is basically the same.)
 * [[Media:KFI-presentation.ppt|Learning the Kernel and Finding Performance Problems with KFI]] Presentation by Tim Bird at CELF International Technical Jamboree in 2005
 * [[Media:omap-serial_init.trace.txt]] - Sample trace used with presentation

Appendix A - KFT configuration language
This appendix describes the language for specifying a KFT trace run. Is it used for both static mode, and dynamic mode (written to ).

A note on function names
NOTE that for parameters referencing functions, you can use the function name in (that is, when you using a static configuration). However, you have to use the function address when setting the configuration via the interface. The reason for this is that kernel symbols are always available at compile-time, but may not be available in the kernel at runtime, depending on your kernel configuration.

To convert a function name to an address, you can look up the address for the symbol in the System.map file for the current kernel. There is a helper program provided called which you can use to convert the function names in a configuration file into addresses. To do this manually, use: e.g. grep do_fork System.map c001d804 T do_fork

In this case, you would put 0xc001d804 in place of the function name in the configuration file. (Note the leading '0x'.)

To use the helper function {{{sym2addr}}, do the following: sym2addr trace_do_fork.conf System.map >trace_do_fork.conf2 cat trace_do_fork.conf2 >/proc/kft

configuration block
The configuration for a single run is inside a block that starts with 'begin' and ends with 'end'. Inside the block are triggers, filters, and miscellaneous entries. By convention, each configuration entry is placed on it's own line. When writing the configuration to /proc/kft, then the keyword "new" should appear before the block 'begin' keyword.

triggers
trigger: either "start" or "stop", and then one of: entry exit time  syntax: trigger start|stop entry|exit|time

Start time is relative to booting. Stop time is relative to trace start time.

filters
filters maxtime  mintime  noints onlyints funclist fend syntax: filter noints|onlyints|maxtime|mintime|funclist fend

The funclist specifies a list of functions which will be traced. When a funclist is specified, only those functions are traced, and all other functions are ignored.

When specifying a configuration via /proc/kft, the 'fend' keyword must be used to indicated the end of the function list. When the configuration is specified via kftstatic.conf, no 'fend' keyword should be used.

watches
watches stack  worst-stack  syntax: watch stack|worst-stack

A watch is used to have KFT monitor the trace for a particular condition, and act on the condition (usually preserve extra data to help debug that condition). The only supported watches currently are for monitoring the stack depth.

For a "stack" watch, while the trace is running the current position of the stack pointer is checked upon entry to every function. If the stack position is lower than the specified threshold, the current call stack of functions is preserved in the log (no matter whether the functions match other KFT filtering criteria or not), and the function durations are marked with a -2 value, to highlight them in the log. This operation (saving the call stack) is performed every time the stack position underflows the threshold. In this mode, an arbitrary number of call stacks can be recorded in the log (up to the limit of the log size).

For a "worst-stack" watch, the same monitoring is performed as with a "stack" watch. However, every time the condition is met, the threshold (worst stack left) is set to the new low stack value. In this mode, a call stack is preserved for each new low-water condition. The last such set of marked functions in the log will record the most stack-consuming call stack seen during the trace. Note also that the lowest recorded stack position is available in the KFT status information (from /proc/kft).

miscellaneous
logentries  specify the maximum number entries for the log for this run

autorepeat Repeat trace indefinitely. That is, on trace trigger stop, prime the trace to run again, but leave the data in the buffer. The trace will start again when the start trigger is matched, and stop again when the stop trigger is matched. The trace will stop autorepeating when the buffer becomes full.


 * 1) Other options that may be supported in the future:
 * 2) overwrite
 * 3) Overwrite old data in the trace buffer.  This converts the trace buffer to
 * 4) a circular buffer, and does not stop the trace when the buffer becomes full.
 * 5) In overwrite mode, the end of the trace is available if the buffer is
 * 6) not large enough to hold the entire trace.  In NOT overwrite mode (regular
 * 7) mode) the beginning of the trace is available if the buffer is not large
 * 8) enough to hold the entire trace.


 * 1) untimed
 * 2) Do not time function duration.  Normally, the log contains only function
 * 3) entry events, with the start time and duration of the function.  In
 * 4) untimed mode, the log contains entry AND exit events, with the start
 * 5) time for each event.  Calculation of function duration must be done by
 * 6) a log post-processing tool.


 * 1) prime
 * 2) Immediately prime the trace for execution.  "Priming" a trace means making
 * 3) it ready to run.  A trace loaded without the "prime" command will not be
 * 4) enabled until the user issues a separate "prime" command through the
 * 5) /proc interface.


 * 1) prime entry ??
 * 2) primt exit ??
 * 3) prime time ??

Configuration Samples
Here are some configuration samples:

Record all functions longer that 500 microseconds, during bootup. Don't include functions executed inside interrupts.

new begin trigger start entry start_kernel trigger stop exit to_userspace filter mintime 500 filter maxtime 0 filter noints end

Record all functions longer that 500 microseconds, for 5 seconds after the next fork don't worry about interrupts

Assuming 'do_fork' is at address 0xc001d804

new begin trigger start entry 0xc001d804 trigger stop time 5000000 filter mintime 500 filter maxtime 0 filter noints end

new begin trigger start entry do_fork trigger stop exit do_fork filter mintime 10 filter maxtime 400 filter noints logentries 500 end
 * record short routines called by do_fork
 * use a small log

new begin trigger start time 5000000 trigger stop time 5000 filter onlyints end
 * record interrupts for 5 milliseconds, starting 5 seconds after booting

kftstatic.conf version: begin trigger start time 10000000 filter funclist schedule fend end /proc/kft version, assuming schedule is at c02cb754 new begin trigger start time 10000000 filter funclist 0xc02cb754 fend end
 * record all calls to schedule after 10 seconds
 * Assuming schedule is at address

Appendix B - Sample results
Here is an excerpt from a KFI log trace (processed with addr2sym). It shows all functions which lasted longer than 500 microseconds, from when the kernel entered start_kernel to when it entered to_userspace.

kft log output (excerpt)
Kernel Instrumentation Run ID 0 Logging started at 6785045 usec by entry to function start_kernel Logging stopped at 8423650 usec by entry to function to_userspace Filters: 500 usecs minimum execution time

Filter Counters:

Execution time filter count = 896348 Total entries filtered = 896348 Entries not found = 24

Number of entries after filters = 1757

Entry     Delta      PID            Function                    Called At       -   -   - 1         0       0                start_kernel   L6+0x0 14      8687       0                  setup_arch   start_kernel+0x35 39       891       0                setup_memory   setup_arch+0x2a8 53       872       0   register_bootmem_low_pages   setup_memory+0x8f 54       871       0                free_bootmem   register_bootmem_low_pages+0x95 54       871       0           free_bootmem_core   free_bootmem+0x34 930      7432       0                 paging_init   setup_arch+0x2af 935      7427       0             zone_sizes_init   paging_init+0x4e 935      7427       0              free_area_init   zone_sizes_init+0x83 935      7427       0         free_area_init_node   free_area_init+0x4b 935      3759       0        __alloc_bootmem_node   free_area_init_node+0xc5 935      3759       0        __alloc_bootmem_core   __alloc_bootmem_node+0x43 4694      3668       0         free_area_init_core   free_area_init_node+0x75 4817      3535       0            memmap_init_zone   free_area_init_core+0x2bd 8807    266911       0                   time_init   start_kernel+0xb6 8807    261404       0               get_cmos_time   time_init+0x1c 270211      5507       0                select_timer   time_init+0x41 270211      5507       0                    init_tsc   select_timer+0x45 270211      5507       0               calibrate_tsc   init_tsc+0x6c 275718      1638       0                console_init   start_kernel+0xbb 275718      1638       0                    con_init   console_init+0x59 275954       733       0          vgacon_save_screen   con_init+0x288 277376      6730       0                    mem_init   start_kernel+0xf8 277376      1691       0            free_all_bootmem   mem_init+0x52 277376      1691       0       free_all_bootmem_core   free_all_bootmem+0x24 284118     25027       0             calibrate_delay   start_kernel+0x10f 293860       770       0                     __delay   calibrate_delay+0x62 293860       770       0                   delay_tsc   __delay+0x26 294951      1534       0                     __delay   calibrate_delay+0x62 294951      1534       0                   delay_tsc   __delay+0x26 297134      1149       0                     __delay   calibrate_delay+0xbe 297134      1149       0                   delay_tsc   __delay+0x26 . .  . 1638605          0     145              filemap_nopage   do_no_page+0xef 1638605         0     145                 __lock_page   filemap_nopage+0x286 1638605         0     145                 io_schedule   __lock_page+0x95 1638605         0     145                    schedule   io_schedule+0x24 1638605         0       5                    schedule   worker_thread+0x217 1638605         0       1                to_userspace   init+0xa6

The log is attached here: [[Media:Kfiboot-9.lst]] A Delta value of 0 usually means the exit from the routine was not seen.

kft log analysis with 'kd'
Below is a dump of the data from the above log.

For the purpose of finding areas of big time in the kernel, the functions with high "Local" time are important. For example, is called 156 times, resulting in 619 milliseconds of duration. Other time-consuming routines were:, ,.

The top line showing schedule called 192 times and lasting over 5 seconds, is accounted wrong due to the switch in execution control inside the schedule routine. (The count of 192 calls is correct, but the duration is wrong.)

$ ~/work/kft/kft/kd -n 30 kftboot-9.lst Function                 Count Time     Average  Local - -   schedule                    192  5173790    26946  5173790 do_basic_setup               1  1159270  1159270       14 do_initcalls                 1  1159256  1159256      627 __delay                    156   619322     3970        0 delay_tsc                  156   619322     3970   619322 __const_udelay             146   608427     4167        0 probe_hwif                   8   553972    69246      126 do_probe                    31   553025    17839       68 ide_delay_50ms             103   552588     5364        0 isapnp_init                  1   383138   383138       18 isapnp_isolate               1   383120   383120   311629 ide_init                     1   339778   339778       22 probe_for_hwifs              1   339756   339756      103 ide_scan_pcibus              1   339653   339653       13 init_setup_piix              2   339640   169820        0 ide_scan_pcidev              2   339640   169820        0 piix_init_one                2   339640   169820        0 ide_setup_pci_device         2   339640   169820      242 probe_hwif_init              4   339398    84849       40 time_init                    1   266911   266911        0 get_cmos_time                1   261404   261404   261404 ide_generic_init             1   214614   214614        0 ideprobe_init                1   214614   214614        0 wait_for_completion          6   194573    32428        0 default_idle               183   192589     1052   192589 io_schedule                 18   171313     9517        0 __wait_on_buffer            14   150369    10740      141 i8042_init                   1   137210   137210      295 i8042_port_register          2   135318    67659      301 __serio_register_port        2   135017    67508        0

kft nested call trace with 'kd -c'
Below is a trace of the data from a log taken from a PPC440g platform, from a (dynamic) trace of the function do_fork.

Here is the configuration file that was used: new begin trigger start entry do_fork trigger stop exit do_fork end

Here is the first part of the trace in nested call format: Times (Entry, Duration and Local) are in micro-seconds. Note the timer interrupt during the routine.

Entry     Duration   Local       Pid    Trace -- -- -- --- -        4      20428        209      33 do_fork 7         6          6      33 |  alloc_pidmap 18      2643         84      33 |  copy_process 21       114         19      33 |  |  dup_task_struct 24         8          6      33 |  |  |  prepare_to_copy 27         2          2      33 |  |  |  |  sub_preempt_count 35        22          9      33 |  |  |  kmem_cache_alloc 38         2          2      33 |  |  |  |  __might_sleep 43        11          9      33 |  |  |  |  cache_alloc_refill 49         2          2      33 |  |  |  |  |  sub_preempt_count 60        65          6      33 |  |  |  __get_free_pages 63        59         14      33 |  |  |  |  __alloc_pages 65         3          3      33 |  |  |  |  |  __might_sleep 71         3          3      33 |  |  |  |  |  zone_watermark_ok 77        37         17      33 |  |  |  |  |  buffered_rmqueue 80         4          4      33 |  |  |  |  |  |  __rmqueue 86         3          3      33 |  |  |  |  |  |  sub_preempt_count 92         3          3      33 |  |  |  |  |  |  bad_range 98         2          2      33 |  |  |  |  |  |  __mod_page_state 103         8          5      33 |  |  |  |  |  |  prep_new_page 106         3          3      33 |  |  |  |  |  |  |  set_page_refs 117         2          2      33 |  |  |  |  |  zone_statistics 141        25          4      33 |  |  do_posix_clock_monotonic_gettime 143        21          6      33 |  |  |  do_posix_clock_monotonic_get 146        15          6      33 |  |  |  |  do_posix_clock_monotonic_gettime_parts 149         9          6      33 |  |  |  |  |  getnstimeofday 152         3          3      33 |  |  |  |  |  |  do_gettimeofday 169         3          3      33 |  |  copy_semundo 174        41         17      33 |  |  copy_files 177        19          9      33 |  |  |  kmem_cache_alloc 180         2          2      33 |  |  |  |  __might_sleep 185         8          5      33 |  |  |  |  cache_alloc_refill 188         3          3      33 |  |  |  |  |  sub_preempt_count 200         3          3      33 |  |  |  count_open_files 209         2          2      33 |  |  |  sub_preempt_count 218        19          8      33 |  |  kmem_cache_alloc 220         2          2      33 |  |  |  __might_sleep 225         9          6      33 |  |  |  cache_alloc_refill 229         3          3      33 |  |  |  |  sub_preempt_count 241         2          2      33 |  |  sub_preempt_count 246       216          9      33 |  |  kmem_cache_alloc 249       199        199      33 |  |  |  __might_sleep --- !!!! start -- 253       151         63      33 timer_interrupt 256         8          6      -1 !  profile_tick 259         2          2      -1 !  !  profile_hit 267        61         15      -1 !  update_process_times 270         8          5      -1 !  !  account_system_time 273         3          3      -1 !  !  !  update_mem_hiwater 281         8          5      -1 !  !  run_local_timers 284         3          3      -1 !  !  !  raise_softirq 293        27         16      -1 !  !  scheduler_tick . ..

Appendix C - Using KFT for monitoring stack usage
* configure CONFIG_KFI_SAVE_SP (if saving the stack pointer as part of trace data) *

Trace overhead
KFT uses the "-finstrument-functions" capability of the gcc compiler to add instrumentation callouts to every kernel function entry and exit. This generates a large amount of overhead during kernel execution, even if a trace is not active. For this reason, KFT is turned off in the default configuration for your target board.

This high overhead means that using KFT may interfere with time-sensitive operations on your device. You should be careful when interpreting performance results on you device when KFT is configured on in your kernel, whether the results are obtained from KFT or from some other performance measurement tool. KFT is great at providing data for relative performance comparisons, but not for absolute performance timings. -

Performance: KFT adds a fair amount of overhead to kernel execution. The reason for this is that the compiler adds instrumentation hooks to the start and end of every function. These hooks take additional time to execute. When a trace is active, even more time is used as events are compared against triggers and filters, and as events are logged to the trace buffer. It would be inappropriate to use an instrumented kernel for production use.

Local-time: Be careful when using the 'local time' numbers provided by 'kd'. These are calculated using the entry and exit times for the functions, and then subtracting the duration of other functions called during the top function's lifetime. However, due to filtering, interrupt handling, or context-switching, these numbers can be way off.

Overhead measurement
Mitsubishi measured the overhead of KFI (the predecessor to KFT) The period is from start_kernel to smp_init.

Platform was: SH7751R 240MHz (Memory Clock 80MHz)

With KFI   : 922.419 msec Without KFI : 666.982 msec Overhead   : 27.69%

Trace buffer exhaustion
Because every function in the kernel is traced, with certain trace configuration settings it is possible to VERY rapidly fill up the trace buffer. Kernel functions are executed several thousand times a second, even when the machine appears to be doing nothing.

The trace buffer is not circular. As soon as the buffer fills up with data, the trace capture automatically stops. For this reason, it is common to have the trace buffer exhausted during a trace.

How to fix: * increase the trace buffer size * use filters * filter only by certain functions * increase the minimum function duration to save in the trace

Q. Is there a way to adjust the trigger or filters to reduce the memory usage?

A. The memory usage is determined by the size of the log, which is specified by in the KFT configuration. If is not specified, it defaults to a rather large number (20,000 in the current code). To use a smaller trace log, specify a smaller number of logentries in the KFT configuration.

The use of triggers and filters can help you fit more data (or more pertinent data) into the log, so you can more readily see the information you are interested in.

By setting start and stop triggers with a narrower "range" of operation, then the amount of data put into the log will be more limited. For example, the default configuration for a static trace uses trigger start entry start_kernel trigger stop entry to_userspace

This will trace EVERYTHING that the kernel does between those two routines. However, you can limit tracing to a much smaller time area of kernel initialization using better triggers. Here is an example showing a triggers for just watching mem_init:

trigger start entry mem_init trigger stop exit mem_init

Filters are also vital to reduce the number of entries the trace log. With no time filters in place, KFT will log every single function executed by the kernel. This will quickly overrun the log (no matter what size you have reserved with.

When using KFT to find long-duration functions in the kernel, we usually are not interested in routines that execute quickly, and instead use something like "filter mintime 500" to filter out routines taking less than 500 microseconds.

Early clock issues
On many platforms, the clock used for performing trace timings is not available immediately when the kernel begins execution. Often, the clock is initialized sometime during the time_init function of kernel startup. In this case, the function entry times and durations may be incorrect, for functions which begin before the clock is set up. Also time-related filters will not operate correctly on these functions. Usually, this is not a problem, since the times come back as zero, and any minimum time filters in place will remove the events from the trace buffer.

The result of all this is that, on machines where the clock is not immediately available at kernel start, there will be a "blind spot" during initialization, which is effectively not traceable by KFT. You can get event data for this "blind" period, by turning off the time filter for events, but this will result in a very large set of events (all without valid timing information) at the beginning of the event log.

Adding platform support for the KFT clock source
By default, KFT uses sched_clock as the clock source for event timings. This is called from the routine kft_readclock.

sched_clock is new in the 2.6 kernel, and returns a 64-bit value containing nanoseconds (not necessarily relative to any particular time base, but assumed to be monotonically increasing, and relatively frequency-stable.)

If your platform has good support for sched_clock, then KFT should work for you unmodified. If not, you may wish to do one of two things:
 * improve support for sched_clock in your board port, or
 * write a custom kft_readclock routine.

A "good" sched_clock routine will provide at least microsecond resolution on return values. Some architectures have sched_clock returning values based on the variable, which on many embedded platforms only has resolution to 10 milliseconds.

There are some sample custom kft_readclock routines in the current code for different architectures. These alternate routines are not active, via pre-processor conditionals. However, you can use them for samples of how to write your own custom KFT clock routine.