This is .././gprof/gprof.info, produced by makeinfo version 4.8 from.././gprof/gprof.texi.START-INFO-DIR-ENTRY* gprof: (gprof). Profiling your program's executionEND-INFO-DIR-ENTRYThis file documents the gprof profiler of the GNU system.Copyright (C) 1988, 92, 97, 98, 99, 2000, 2001, 2003 Free SoftwareFoundation, Inc.Permission is granted to copy, distribute and/or modify this documentunder the terms of the GNU Free Documentation License, Version 1.1 orany later version published by the Free Software Foundation; with noInvariant Sections, with no Front-Cover Texts, and with no Back-CoverTexts. A copy of the license is included in the section entitled "GNUFree Documentation License".File: gprof.info, Node: Top, Next: Introduction, Up: (dir)Profiling a Program: Where Does It Spend Its Time?**************************************************This manual describes the GNU profiler, `gprof', and how you can use itto determine which parts of a program are taking most of the executiontime. We assume that you know how to write, compile, and executeprograms. GNU `gprof' was written by Jay Fenlason.This document is distributed under the terms of the GNU FreeDocumentation License. A copy of the license is included in thesection entitled "GNU Free Documentation License".* Menu:* Introduction:: What profiling means, and why it is useful.* Compiling:: How to compile your program for profiling.* Executing:: Executing your program to generate profile data* Invoking:: How to run `gprof', and its options* Output:: Interpreting `gprof''s output* Inaccuracy:: Potential problems you should be aware of* How do I?:: Answers to common questions* Incompatibilities:: (between GNU `gprof' and Unix `gprof'.)* Details:: Details of how profiling is done* GNU Free Documentation License:: GNU Free Documentation LicenseFile: gprof.info, Node: Introduction, Next: Compiling, Prev: Top, Up: Top1 Introduction to Profiling***************************Profiling allows you to learn where your program spent its time andwhich functions called which other functions while it was executing.This information can show you which pieces of your program are slowerthan you expected, and might be candidates for rewriting to make yourprogram execute faster. It can also tell you which functions are beingcalled more or less often than you expected. This may help you spotbugs that had otherwise been unnoticed.Since the profiler uses information collected during the actualexecution of your program, it can be used on programs that are toolarge or too complex to analyze by reading the source. However, howyour program is run will affect the information that shows up in theprofile data. If you don't use some feature of your program while itis being profiled, no profile information will be generated for thatfeature.Profiling has several steps:* You must compile and link your program with profiling enabled.*Note Compiling::.* You must execute your program to generate a profile data file.*Note Executing::.* You must run `gprof' to analyze the profile data. *NoteInvoking::.The next three chapters explain these steps in greater detail.Several forms of output are available from the analysis.The "flat profile" shows how much time your program spent in eachfunction, and how many times that function was called. If you simplywant to know which functions burn most of the cycles, it is statedconcisely here. *Note Flat Profile::.The "call graph" shows, for each function, which functions calledit, which other functions it called, and how many times. There is alsoan estimate of how much time was spent in the subroutines of eachfunction. This can suggest places where you might try to eliminatefunction calls that use a lot of time. *Note Call Graph::.The "annotated source" listing is a copy of the program's sourcecode, labeled with the number of times each line of the program wasexecuted. *Note Annotated Source::.To better understand how profiling works, you may wish to read adescription of its implementation. *Note Implementation::.File: gprof.info, Node: Compiling, Next: Executing, Prev: Introduction, Up: Top2 Compiling a Program for Profiling***********************************The first step in generating profile information for your program is tocompile and link it with profiling enabled.To compile a source file for profiling, specify the `-pg' option whenyou run the compiler. (This is in addition to the options you normallyuse.)To link the program for profiling, if you use a compiler such as `cc'to do the linking, simply specify `-pg' in addition to your usualoptions. The same option, `-pg', alters either compilation or linkingto do what is necessary for profiling. Here are examples:cc -g -c myprog.c utils.c -pgcc -o myprog myprog.o utils.o -pgThe `-pg' option also works with a command that both compiles andlinks:cc -o myprog myprog.c utils.c -g -pgNote: The `-pg' option must be part of your compilation options aswell as your link options. If it is not then no call-graph data willbe gathered and when you run `gprof' you will get an error message likethis:gprof: gmon.out file is missing call-graph dataIf you add the `-Q' switch to suppress the printing of the callgraph data you will still be able to see the time samples:Flat profile:Each sample counts as 0.01 seconds.% cumulative self self totaltime seconds seconds calls Ts/call Ts/call name44.12 0.07 0.07 zazLoop35.29 0.14 0.06 main20.59 0.17 0.04 bazMillion% the percentage of the total running time of theIf you run the linker `ld' directly instead of through a compilersuch as `cc', you may have to specify a profiling startup file`gcrt0.o' as the first input file instead of the usual startup file`crt0.o'. In addition, you would probably want to specify theprofiling C library, `libc_p.a', by writing `-lc_p' instead of theusual `-lc'. This is not absolutely necessary, but doing this givesyou number-of-calls information for standard library functions such as`read' and `open'. For example:ld -o myprog /lib/gcrt0.o myprog.o utils.o -lc_pIf you compile only some of the modules of the program with `-pg',you can still profile the program, but you won't get completeinformation about the modules that were compiled without `-pg'. Theonly information you get for the functions in those modules is thetotal time spent in them; there is no record of how many times theywere called, or from where. This will not affect the flat profile(except that the `calls' field for the functions will be blank), butwill greatly reduce the usefulness of the call graph.If you wish to perform line-by-line profiling, you will also need tospecify the `-g' option, instructing the compiler to insert debuggingsymbols into the program that match program addresses to source codelines. *Note Line-by-line::.In addition to the `-pg' and `-g' options, older versions of GCCrequired you to specify the `-a' option when compiling in order toinstrument it to perform basic-block counting. Newer versions do notrequire this option and will not accept it; basic-block counting isalways enabled when `-pg' is on.When basic-block counting is enabled, as the program runs it willcount how many times it executed each branch of each `if' statement,each iteration of each `do' loop, etc. This will enable `gprof' toconstruct an annotated source code listing showing how many times eachline of code was executed.It also worth noting that GCC supports a different profiling methodwhich is enabled by the `-fprofile-arcs', `-ftest-coverage' and`-fprofile-values' switches. These switches do not produce data whichis useful to `gprof' however, so they are not discussed further here.There is also the `-finstrument-functions' switch which will cause GCCto insert calls to special user supplied instrumentation routines atthe entry and exit of every function in their program. This can beused to implement an alternative profiling scheme.File: gprof.info, Node: Executing, Next: Invoking, Prev: Compiling, Up: Top3 Executing the Program***********************Once the program is compiled for profiling, you must run it in order togenerate the information that `gprof' needs. Simply run the program asusual, using the normal arguments, file names, etc. The program shouldrun normally, producing the same output as usual. It will, however, runsomewhat slower than normal because of the time spent collecting and thewriting the profile data.The way you run the program--the arguments and input that you giveit--may have a dramatic effect on what the profile information shows.The profile data will describe the parts of the program that wereactivated for the particular input you use. For example, if the firstcommand you give to your program is to quit, the profile data will showthe time used in initialization and in cleanup, but not much else.Your program will write the profile data into a file called`gmon.out' just before exiting. If there is already a file called`gmon.out', its contents are overwritten. There is currently no way totell the program to write the profile data under a different name, butyou can rename the file afterwards if you are concerned that it may beoverwritten.In order to write the `gmon.out' file properly, your program mustexit normally: by returning from `main' or by calling `exit'. Callingthe low-level function `_exit' does not write the profile data, andneither does abnormal termination due to an unhandled signal.The `gmon.out' file is written in the program's _current workingdirectory_ at the time it exits. This means that if your program calls`chdir', the `gmon.out' file will be left in the last directory yourprogram `chdir''d to. If you don't have permission to write in thisdirectory, the file is not written, and you will get an error message.Older versions of the GNU profiling library may also write a filecalled `bb.out'. This file, if present, contains an human-readablelisting of the basic-block execution counts. Unfortunately, theappearance of a human-readable `bb.out' means the basic-block countsdidn't get written into `gmon.out'. The Perl script `bbconv.pl',included with the `gprof' source distribution, will convert a `bb.out'file into a format readable by `gprof'. Invoke it like this:bbconv.pl < bb.out > BH-DATAThis translates the information in `bb.out' into a form that `gprof'can understand. But you still need to tell `gprof' about the existenceof this translated information. To do that, include BB-DATA on the`gprof' command line, _along with `gmon.out'_, like this:gprof OPTIONS EXECUTABLE-FILE gmon.out BB-DATA [YET-MORE-PROFILE-DATA-FILES...] [> OUTFILE]File: gprof.info, Node: Invoking, Next: Output, Prev: Executing, Up: Top4 `gprof' Command Summary*************************After you have a profile data file `gmon.out', you can run `gprof' tointerpret the information in it. The `gprof' program prints a flatprofile and a call graph on standard output. Typically you wouldredirect the output of `gprof' into a file with `>'.You run `gprof' like this:gprof OPTIONS [EXECUTABLE-FILE [PROFILE-DATA-FILES...]] [> OUTFILE]Here square-brackets indicate optional arguments.If you omit the executable file name, the file `a.out' is used. Ifyou give no profile data file name, the file `gmon.out' is used. Ifany file is not in the proper format, or if the profile data file doesnot appear to belong to the executable file, an error message isprinted.You can give more than one profile data file by entering all theirnames after the executable file name; then the statistics in all thedata files are summed together.The order of these options does not matter.* Menu:* Output Options:: Controlling `gprof''s output style* Analysis Options:: Controlling how `gprof' analyses its data* Miscellaneous Options::* Deprecated Options:: Options you no longer need to use, but whichhave been retained for compatibility* Symspecs:: Specifying functions to include or excludeFile: gprof.info, Node: Output Options, Next: Analysis Options, Up: Invoking4.1 Output Options==================These options specify which of several output formats `gprof' shouldproduce.Many of these options take an optional "symspec" to specifyfunctions to be included or excluded. These options can be specifiedmultiple times, with different symspecs, to include or exclude sets ofsymbols. *Note Symspecs::.Specifying any of these options overrides the default (`-p -q'),which prints a flat profile and call graph analysis for all functions.`-A[SYMSPEC]'`--annotated-source[=SYMSPEC]'The `-A' option causes `gprof' to print annotated source code. IfSYMSPEC is specified, print output only for matching symbols.*Note Annotated Source::.`-b'`--brief'If the `-b' option is given, `gprof' doesn't print the verboseblurbs that try to explain the meaning of all of the fields in thetables. This is useful if you intend to print out the output, orare tired of seeing the blurbs.`-C[SYMSPEC]'`--exec-counts[=SYMSPEC]'The `-C' option causes `gprof' to print a tally of functions andthe number of times each was called. If SYMSPEC is specified,print tally only for matching symbols.If the profile data file contains basic-block count records,specifying the `-l' option, along with `-C', will cause basic-blockexecution counts to be tallied and displayed.`-i'`--file-info'The `-i' option causes `gprof' to display summary informationabout the profile data file(s) and then exit. The number ofhistogram, call graph, and basic-block count records is displayed.`-I DIRS'`--directory-path=DIRS'The `-I' option specifies a list of search directories in which tofind source files. Environment variable GPROF_PATH can also beused to convey this information. Used mostly for annotated sourceoutput.`-J[SYMSPEC]'`--no-annotated-source[=SYMSPEC]'The `-J' option causes `gprof' not to print annotated source code.If SYMSPEC is specified, `gprof' prints annotated source, butexcludes matching symbols.`-L'`--print-path'Normally, source filenames are printed with the path componentsuppressed. The `-L' option causes `gprof' to print the fullpathname of source filenames, which is determined from symbolicdebugging information in the image file and is relative to thedirectory in which the compiler was invoked.`-p[SYMSPEC]'`--flat-profile[=SYMSPEC]'The `-p' option causes `gprof' to print a flat profile. IfSYMSPEC is specified, print flat profile only for matching symbols.*Note Flat Profile::.`-P[SYMSPEC]'`--no-flat-profile[=SYMSPEC]'The `-P' option causes `gprof' to suppress printing a flat profile.If SYMSPEC is specified, `gprof' prints a flat profile, butexcludes matching symbols.`-q[SYMSPEC]'`--graph[=SYMSPEC]'The `-q' option causes `gprof' to print the call graph analysis.If SYMSPEC is specified, print call graph only for matching symbolsand their children. *Note Call Graph::.`-Q[SYMSPEC]'`--no-graph[=SYMSPEC]'The `-Q' option causes `gprof' to suppress printing the call graph.If SYMSPEC is specified, `gprof' prints a call graph, but excludesmatching symbols.`-t'`--table-length=NUM'The `-t' option causes the NUM most active source lines in eachsource file to be listed when source annotation is enabled. Thedefault is 10.`-y'`--separate-files'This option affects annotated source output only. Normally,`gprof' prints annotated source files to standard-output. If thisoption is specified, annotated source for a file named`path/FILENAME' is generated in the file `FILENAME-ann'. If theunderlying filesystem would truncate `FILENAME-ann' so that itoverwrites the original `FILENAME', `gprof' generates annotatedsource in the file `FILENAME.ann' instead (if the original filename has an extension, that extension is _replaced_ with `.ann').`-Z[SYMSPEC]'`--no-exec-counts[=SYMSPEC]'The `-Z' option causes `gprof' not to print a tally of functionsand the number of times each was called. If SYMSPEC is specified,print tally, but exclude matching symbols.`-r'`--function-ordering'The `--function-ordering' option causes `gprof' to print asuggested function ordering for the program based on profilingdata. This option suggests an ordering which may improve paging,tlb and cache behavior for the program on systems which supportarbitrary ordering of functions in an executable.The exact details of how to force the linker to place functions ina particular order is system dependent and out of the scope of thismanual.`-R MAP_FILE'`--file-ordering MAP_FILE'The `--file-ordering' option causes `gprof' to print a suggested.o link line ordering for the program based on profiling data.This option suggests an ordering which may improve paging, tlb andcache behavior for the program on systems which do not supportarbitrary ordering of functions in an executable.Use of the `-a' argument is highly recommended with this option.The MAP_FILE argument is a pathname to a file which providesfunction name to object file mappings. The format of the file issimilar to the output of the program `nm'.c-parse.o:00000000 T yyparsec-parse.o:00000004 C yyerrflagc-lang.o:00000000 T maybe_objc_method_namec-lang.o:00000000 T print_lang_statisticsc-lang.o:00000000 T recognize_objc_keywordc-decl.o:00000000 T print_lang_identifierc-decl.o:00000000 T print_lang_type...To create a MAP_FILE with GNU `nm', type a command like `nm--extern-only --defined-only -v --print-file-name program-name'.`-T'`--traditional'The `-T' option causes `gprof' to print its output in"traditional" BSD style.`-w WIDTH'`--width=WIDTH'Sets width of output lines to WIDTH. Currently only used whenprinting the function index at the bottom of the call graph.`-x'`--all-lines'This option affects annotated source output only. By default,only the lines at the beginning of a basic-block are annotated.If this option is specified, every line in a basic-block isannotated by repeating the annotation for the first line. Thisbehavior is similar to `tcov''s `-a'.`--demangle[=STYLE]'`--no-demangle'These options control whether C++ symbol names should be demangledwhen printing output. The default is to demangle symbols. The`--no-demangle' option may be used to turn off demangling.Different compilers have different mangling styles. The optionaldemangling style argument can be used to choose an appropriatedemangling style for your compiler.File: gprof.info, Node: Analysis Options, Next: Miscellaneous Options, Prev: Output Options, Up: Invoking4.2 Analysis Options====================`-a'`--no-static'The `-a' option causes `gprof' to suppress the printing ofstatically declared (private) functions. (These are functionswhose names are not listed as global, and which are not visibleoutside the file/function/block where they were defined.) Timespent in these functions, calls to/from them, etc, will all beattributed to the function that was loaded directly before it inthe executable file. This option affects both the flat profileand the call graph.`-c'`--static-call-graph'The `-c' option causes the call graph of the program to beaugmented by a heuristic which examines the text space of theobject file and identifies function calls in the binary machinecode. Since normal call graph records are only generated whenfunctions are entered, this option identifies children that couldhave been called, but never were. Calls to functions that werenot compiled with profiling enabled are also identified, but onlyif symbol table entries are present for them. Calls to dynamiclibrary routines are typically _not_ found by this option.Parents or children identified via this heuristic are indicated inthe call graph with call counts of `0'.`-D'`--ignore-non-functions'The `-D' option causes `gprof' to ignore symbols which are notknown to be functions. This option will give more accurateprofile data on systems where it is supported (Solaris and HPUX forexample).`-k FROM/TO'The `-k' option allows you to delete from the call graph any arcsfrom symbols matching symspec FROM to those matching symspec TO.`-l'`--line'The `-l' option enables line-by-line profiling, which causeshistogram hits to be charged to individual source code lines,instead of functions. If the program was compiled withbasic-block counting enabled, this option will also identify howmany times each line of code was executed. While line-by-lineprofiling can help isolate where in a large function a program isspending its time, it also significantly increases the runningtime of `gprof', and magnifies statistical inaccuracies. *NoteSampling Error::.`-m NUM'`--min-count=NUM'This option affects execution count output only. Symbols that areexecuted less than NUM times are suppressed.`-n[SYMSPEC]'`--time[=SYMSPEC]'The `-n' option causes `gprof', in its call graph analysis, toonly propagate times for symbols matching SYMSPEC.`-N[SYMSPEC]'`--no-time[=SYMSPEC]'The `-n' option causes `gprof', in its call graph analysis, not topropagate times for symbols matching SYMSPEC.`-z'`--display-unused-functions'If you give the `-z' option, `gprof' will mention all functions inthe flat profile, even those that were never called, and that hadno time spent in them. This is useful in conjunction with the`-c' option for discovering which routines were never called.File: gprof.info, Node: Miscellaneous Options, Next: Deprecated Options, Prev: Analysis Options, Up: Invoking4.3 Miscellaneous Options=========================`-d[NUM]'`--debug[=NUM]'The `-d NUM' option specifies debugging options. If NUM is notspecified, enable all debugging. *Note Debugging::.`-h'`--help'The `-h' option prints command line usage.`-ONAME'`--file-format=NAME'Selects the format of the profile data files. Recognized formatsare `auto' (the default), `bsd', `4.4bsd', `magic', and `prof'(not yet supported).`-s'`--sum'The `-s' option causes `gprof' to summarize the information in theprofile data files it read in, and write out a profile data filecalled `gmon.sum', which contains all the information from theprofile data files that `gprof' read in. The file `gmon.sum' maybe one of the specified input files; the effect of this is tomerge the data in the other input files into `gmon.sum'.Eventually you can run `gprof' again without `-s' to analyze thecumulative data in the file `gmon.sum'.`-v'`--version'The `-v' flag causes `gprof' to print the current version number,and then exit.File: gprof.info, Node: Deprecated Options, Next: Symspecs, Prev: Miscellaneous Options, Up: Invoking4.4 Deprecated Options======================These options have been replaced with newer versions that usesymspecs.`-e FUNCTION_NAME'The `-e FUNCTION' option tells `gprof' to not print informationabout the function FUNCTION_NAME (and its children...) in the callgraph. The function will still be listed as a child of anyfunctions that call it, but its index number will be shown as`[not printed]'. More than one `-e' option may be given; only oneFUNCTION_NAME may be indicated with each `-e' option.`-E FUNCTION_NAME'The `-E FUNCTION' option works like the `-e' option, but timespent in the function (and children who were not called fromanywhere else), will not be used to compute thepercentages-of-time for the call graph. More than one `-E' optionmay be given; only one FUNCTION_NAME may be indicated with each`-E' option.`-f FUNCTION_NAME'The `-f FUNCTION' option causes `gprof' to limit the call graph tothe function FUNCTION_NAME and its children (and theirchildren...). More than one `-f' option may be given; only oneFUNCTION_NAME may be indicated with each `-f' option.`-F FUNCTION_NAME'The `-F FUNCTION' option works like the `-f' option, but only timespent in the function and its children (and their children...)will be used to determine total-time and percentages-of-time forthe call graph. More than one `-F' option may be given; only oneFUNCTION_NAME may be indicated with each `-F' option. The `-F'option overrides the `-E' option.Note that only one function can be specified with each `-e', `-E',`-f' or `-F' option. To specify more than one function, use multipleoptions. For example, this command:gprof -e boring -f foo -f bar myprogram > gprof.outputlists in the call graph all functions that were reached from either`foo' or `bar' and were not reachable from `boring'.File: gprof.info, Node: Symspecs, Prev: Deprecated Options, Up: Invoking4.5 Symspecs============Many of the output options allow functions to be included or excludedusing "symspecs" (symbol specifications), which observe the followingsyntax:filename_containing_a_dot| funcname_not_containing_a_dot| linenumber| ( [ any_filename ] `:' ( any_funcname | linenumber ) )Here are some sample symspecs:`main.c'Selects everything in file `main.c'--the dot in the string tells`gprof' to interpret the string as a filename, rather than as afunction name. To select a file whose name does not contain adot, a trailing colon should be specified. For example, `odd:' isinterpreted as the file named `odd'.`main'Selects all functions named `main'.Note that there may be multiple instances of the same function namebecause some of the definitions may be local (i.e., static).Unless a function name is unique in a program, you must use thecolon notation explained below to specify a function from aspecific source file.Sometimes, function names contain dots. In such cases, it isnecessary to add a leading colon to the name. For example,`:.mul' selects function `.mul'.In some object file formats, symbols have a leading underscore.`gprof' will normally not print these underscores. When you name asymbol in a symspec, you should type it exactly as `gprof' printsit in its output. For example, if the compiler produces a symbol`_main' from your `main' function, `gprof' still prints it as`main' in its output, so you should use `main' in symspecs.`main.c:main'Selects function `main' in file `main.c'.`main.c:134'Selects line 134 in file `main.c'.File: gprof.info, Node: Output, Next: Inaccuracy, Prev: Invoking, Up: Top5 Interpreting `gprof''s Output*******************************`gprof' can produce several different output styles, the most importantof which are described below. The simplest output styles (fileinformation, execution count, and function and file ordering) are notdescribed here, but are documented with the respective options thattrigger them. *Note Output Options::.* Menu:* Flat Profile:: The flat profile shows how much time was spentexecuting directly in each function.* Call Graph:: The call graph shows which functions called whichothers, and how much time each function usedwhen its subroutine calls are included.* Line-by-line:: `gprof' can analyze individual source code lines* Annotated Source:: The annotated source listing displays source codelabeled with execution countsFile: gprof.info, Node: Flat Profile, Next: Call Graph, Up: Output5.1 The Flat Profile====================The "flat profile" shows the total amount of time your program spentexecuting each function. Unless the `-z' option is given, functionswith no apparent time spent in them, and no apparent calls to them, arenot mentioned. Note that if a function was not compiled for profiling,and didn't run long enough to show up on the program counter histogram,it will be indistinguishable from a function that was never called.This is part of a flat profile for a small program:Flat profile:Each sample counts as 0.01 seconds.% cumulative self self totaltime seconds seconds calls ms/call ms/call name33.34 0.02 0.02 7208 0.00 0.00 open16.67 0.03 0.01 244 0.04 0.12 offtime16.67 0.04 0.01 8 1.25 1.25 memccpy16.67 0.05 0.01 7 1.43 1.43 write16.67 0.06 0.01 mcount0.00 0.06 0.00 236 0.00 0.00 tzset0.00 0.06 0.00 192 0.00 0.00 tolower0.00 0.06 0.00 47 0.00 0.00 strlen0.00 0.06 0.00 45 0.00 0.00 strchr0.00 0.06 0.00 1 0.00 50.00 main0.00 0.06 0.00 1 0.00 0.00 memcpy0.00 0.06 0.00 1 0.00 10.11 print0.00 0.06 0.00 1 0.00 0.00 profil0.00 0.06 0.00 1 0.00 50.00 report...The functions are sorted by first by decreasing run-time spent in them,then by decreasing number of calls, then alphabetically by name. Thefunctions `mcount' and `profil' are part of the profiling apparatus andappear in every flat profile; their time gives a measure of the amountof overhead due to profiling.Just before the column headers, a statement appears indicating howmuch time each sample counted as. This "sampling period" estimates themargin of error in each of the time figures. A time figure that is notmuch larger than this is not reliable. In this example, each samplecounted as 0.01 seconds, suggesting a 100 Hz sampling rate. Theprogram's total execution time was 0.06 seconds, as indicated by the`cumulative seconds' field. Since each sample counted for 0.01seconds, this means only six samples were taken during the run. Two ofthe samples occurred while the program was in the `open' function, asindicated by the `self seconds' field. Each of the other four samplesoccurred one each in `offtime', `memccpy', `write', and `mcount'.Since only six samples were taken, none of these values can be regardedas particularly reliable. In another run, the `self seconds' field for`mcount' might well be `0.00' or `0.02'. *Note Sampling Error::, for acomplete discussion.The remaining functions in the listing (those whose `self seconds'field is `0.00') didn't appear in the histogram samples at all.However, the call graph indicated that they were called, so thereforethey are listed, sorted in decreasing order by the `calls' field.Clearly some time was spent executing these functions, but the paucityof histogram samples prevents any determination of how much time eachtook.Here is what the fields in each line mean:`% time'This is the percentage of the total execution time your programspent in this function. These should all add up to 100%.`cumulative seconds'This is the cumulative total number of seconds the computer spentexecuting this functions, plus the time spent in all the functionsabove this one in this table.`self seconds'This is the number of seconds accounted for by this function alone.The flat profile listing is sorted first by this number.`calls'This is the total number of times the function was called. If thefunction was never called, or the number of times it was calledcannot be determined (probably because the function was notcompiled with profiling enabled), the "calls" field is blank.`self ms/call'This represents the average number of milliseconds spent in thisfunction per call, if this function is profiled. Otherwise, thisfield is blank for this function.`total ms/call'This represents the average number of milliseconds spent in thisfunction and its descendants per call, if this function isprofiled. Otherwise, this field is blank for this function. Thisis the only field in the flat profile that uses call graphanalysis.`name'This is the name of the function. The flat profile is sorted bythis field alphabetically after the "self seconds" and "calls"fields are sorted.File: gprof.info, Node: Call Graph, Next: Line-by-line, Prev: Flat Profile, Up: Output5.2 The Call Graph==================The "call graph" shows how much time was spent in each function and itschildren. From this information, you can find functions that, whilethey themselves may not have used much time, called other functionsthat did use unusual amounts of time.Here is a sample call from a small program. This call came from thesame `gprof' run as the flat profile example in the previous chapter.granularity: each sample hit covers 2 byte(s) for 20.00% of 0.05 secondsindex % time self children called name<spontaneous>[1] 100.0 0.00 0.05 start [1]0.00 0.05 1/1 main [2]0.00 0.00 1/2 on_exit [28]0.00 0.00 1/1 exit [59]-----------------------------------------------0.00 0.05 1/1 start [1][2] 100.0 0.00 0.05 1 main [2]0.00 0.05 1/1 report [3]-----------------------------------------------0.00 0.05 1/1 main [2][3] 100.0 0.00 0.05 1 report [3]0.00 0.03 8/8 timelocal [6]0.00 0.01 1/1 print [9]0.00 0.01 9/9 fgets [12]0.00 0.00 12/34 strncmp <cycle 1> [40]0.00 0.00 8/8 lookup [20]0.00 0.00 1/1 fopen [21]0.00 0.00 8/8 chewtime [24]0.00 0.00 8/16 skipspace [44]-----------------------------------------------[4] 59.8 0.01 0.02 8+472 <cycle 2 as a whole> [4]0.01 0.02 244+260 offtime <cycle 2> [7]0.00 0.00 236+1 tzset <cycle 2> [26]-----------------------------------------------The lines full of dashes divide this table into "entries", one foreach function. Each entry has one or more lines.In each entry, the primary line is the one that starts with an indexnumber in square brackets. The end of this line says which functionthe entry is for. The preceding lines in the entry describe thecallers of this function and the following lines describe itssubroutines (also called "children" when we speak of the call graph).The entries are sorted by time spent in the function and itssubroutines.The internal profiling function `mcount' (*note Flat Profile::) isnever mentioned in the call graph.* Menu:* Primary:: Details of the primary line's contents.* Callers:: Details of caller-lines' contents.* Subroutines:: Details of subroutine-lines' contents.* Cycles:: When there are cycles of recursion,such as `a' calls `b' calls `a'...File: gprof.info, Node: Primary, Next: Callers, Up: Call Graph5.2.1 The Primary Line----------------------The "primary line" in a call graph entry is the line that describes thefunction which the entry is about and gives the overall statistics forthis function.For reference, we repeat the primary line from the entry for function`report' in our main example, together with the heading line that showsthe names of the fields:index % time self children called name...[3] 100.0 0.00 0.05 1 report [3]Here is what the fields in the primary line mean:`index'Entries are numbered with consecutive integers. Each functiontherefore has an index number, which appears at the beginning ofits primary line.Each cross-reference to a function, as a caller or subroutine ofanother, gives its index number as well as its name. The indexnumber guides you if you wish to look for the entry for thatfunction.`% time'This is the percentage of the total time that was spent in thisfunction, including time spent in subroutines called from thisfunction.The time spent in this function is counted again for the callers ofthis function. Therefore, adding up these percentages ismeaningless.`self'This is the total amount of time spent in this function. Thisshould be identical to the number printed in the `seconds' fieldfor this function in the flat profile.`children'This is the total amount of time spent in the subroutine callsmade by this function. This should be equal to the sum of all the`self' and `children' entries of the children listed directlybelow this function.`called'This is the number of times the function was called.If the function called itself recursively, there are two numbers,separated by a `+'. The first number counts non-recursive calls,and the second counts recursive calls.In the example above, the function `report' was called once from`main'.`name'This is the name of the current function. The index number isrepeated after it.If the function is part of a cycle of recursion, the cycle numberis printed between the function's name and the index number (*noteCycles::). For example, if function `gnurr' is part of cyclenumber one, and has index number twelve, its primary line would beend like this:gnurr <cycle 1> [12]File: gprof.info, Node: Callers, Next: Subroutines, Prev: Primary, Up: Call Graph5.2.2 Lines for a Function's Callers------------------------------------A function's entry has a line for each function it was called by.These lines' fields correspond to the fields of the primary line, buttheir meanings are different because of the difference in context.For reference, we repeat two lines from the entry for the function`report', the primary line and one caller-line preceding it, togetherwith the heading line that shows the names of the fields:index % time self children called name...0.00 0.05 1/1 main [2][3] 100.0 0.00 0.05 1 report [3]Here are the meanings of the fields in the caller-line for `report'called from `main':`self'An estimate of the amount of time spent in `report' itself when itwas called from `main'.`children'An estimate of the amount of time spent in subroutines of `report'when `report' was called from `main'.The sum of the `self' and `children' fields is an estimate of theamount of time spent within calls to `report' from `main'.`called'Two numbers: the number of times `report' was called from `main',followed by the total number of non-recursive calls to `report'from all its callers.`name and index number'The name of the caller of `report' to which this line applies,followed by the caller's index number.Not all functions have entries in the call graph; some options to`gprof' request the omission of certain functions. When a callerhas no entry of its own, it still has caller-lines in the entriesof the functions it calls.If the caller is part of a recursion cycle, the cycle number isprinted between the name and the index number.If the identity of the callers of a function cannot be determined, adummy caller-line is printed which has `<spontaneous>' as the "caller'sname" and all other fields blank. This can happen for signal handlers.File: gprof.info, Node: Subroutines, Next: Cycles, Prev: Callers, Up: Call Graph5.2.3 Lines for a Function's Subroutines----------------------------------------A function's entry has a line for each of its subroutines--in otherwords, a line for each other function that it called. These lines'fields correspond to the fields of the primary line, but their meaningsare different because of the difference in context.For reference, we repeat two lines from the entry for the function`main', the primary line and a line for a subroutine, together with theheading line that shows the names of the fields:index % time self children called name...[2] 100.0 0.00 0.05 1 main [2]0.00 0.05 1/1 report [3]Here are the meanings of the fields in the subroutine-line for `main'calling `report':`self'An estimate of the amount of time spent directly within `report'when `report' was called from `main'.`children'An estimate of the amount of time spent in subroutines of `report'when `report' was called from `main'.The sum of the `self' and `children' fields is an estimate of thetotal time spent in calls to `report' from `main'.`called'Two numbers, the number of calls to `report' from `main' followedby the total number of non-recursive calls to `report'. Thisratio is used to determine how much of `report''s `self' and`children' time gets credited to `main'. *Note Assumptions::.`name'The name of the subroutine of `main' to which this line applies,followed by the subroutine's index number.If the caller is part of a recursion cycle, the cycle number isprinted between the name and the index number.File: gprof.info, Node: Cycles, Prev: Subroutines, Up: Call Graph5.2.4 How Mutually Recursive Functions Are Described----------------------------------------------------The graph may be complicated by the presence of "cycles of recursion"in the call graph. A cycle exists if a function calls another functionthat (directly or indirectly) calls (or appears to call) the originalfunction. For example: if `a' calls `b', and `b' calls `a', then `a'and `b' form a cycle.Whenever there are call paths both ways between a pair of functions,they belong to the same cycle. If `a' and `b' call each other and `b'and `c' call each other, all three make one cycle. Note that even if`b' only calls `a' if it was not called from `a', `gprof' cannotdetermine this, so `a' and `b' are still considered a cycle.The cycles are numbered with consecutive integers. When a functionbelongs to a cycle, each time the function name appears in the callgraph it is followed by `<cycle NUMBER>'.The reason cycles matter is that they make the time values in thecall graph paradoxical. The "time spent in children" of `a' shouldinclude the time spent in its subroutine `b' and in `b''ssubroutines--but one of `b''s subroutines is `a'! How much of `a''stime should be included in the children of `a', when `a' is indirectlyrecursive?The way `gprof' resolves this paradox is by creating a single entryfor the cycle as a whole. The primary line of this entry describes thetotal time spent directly in the functions of the cycle. The"subroutines" of the cycle are the individual functions of the cycle,and all other functions that were called directly by them. The"callers" of the cycle are the functions, outside the cycle, thatcalled functions in the cycle.Here is an example portion of a call graph which shows a cyclecontaining functions `a' and `b'. The cycle was entered by a call to`a' from `main'; both `a' and `b' called `c'.index % time self children called name----------------------------------------1.77 0 1/1 main [2][3] 91.71 1.77 0 1+5 <cycle 1 as a whole> [3]1.02 0 3 b <cycle 1> [4]0.75 0 2 a <cycle 1> [5]----------------------------------------3 a <cycle 1> [5][4] 52.85 1.02 0 0 b <cycle 1> [4]2 a <cycle 1> [5]0 0 3/6 c [6]----------------------------------------1.77 0 1/1 main [2]2 b <cycle 1> [4][5] 38.86 0.75 0 1 a <cycle 1> [5]3 b <cycle 1> [4]0 0 3/6 c [6]----------------------------------------(The entire call graph for this program contains in addition an entryfor `main', which calls `a', and an entry for `c', with callers `a' and`b'.)index % time self children called name<spontaneous>[1] 100.00 0 1.93 0 start [1]0.16 1.77 1/1 main [2]----------------------------------------0.16 1.77 1/1 start [1][2] 100.00 0.16 1.77 1 main [2]1.77 0 1/1 a <cycle 1> [5]----------------------------------------1.77 0 1/1 main [2][3] 91.71 1.77 0 1+5 <cycle 1 as a whole> [3]1.02 0 3 b <cycle 1> [4]0.75 0 2 a <cycle 1> [5]0 0 6/6 c [6]----------------------------------------3 a <cycle 1> [5][4] 52.85 1.02 0 0 b <cycle 1> [4]2 a <cycle 1> [5]0 0 3/6 c [6]----------------------------------------1.77 0 1/1 main [2]2 b <cycle 1> [4][5] 38.86 0.75 0 1 a <cycle 1> [5]3 b <cycle 1> [4]0 0 3/6 c [6]----------------------------------------0 0 3/6 b <cycle 1> [4]0 0 3/6 a <cycle 1> [5][6] 0.00 0 0 6 c [6]----------------------------------------The `self' field of the cycle's primary line is the total time spentin all the functions of the cycle. It equals the sum of the `self'fields for the individual functions in the cycle, found in the entry inthe subroutine lines for these functions.The `children' fields of the cycle's primary line and subroutinelines count only subroutines outside the cycle. Even though `a' calls`b', the time spent in those calls to `b' is not counted in `a''s`children' time. Thus, we do not encounter the problem of what to dowhen the time in those calls to `b' includes indirect recursive callsback to `a'.The `children' field of a caller-line in the cycle's entry estimatesthe amount of time spent _in the whole cycle_, and its othersubroutines, on the times when that caller called a function in thecycle.The `calls' field in the primary line for the cycle has two numbers:first, the number of times functions in the cycle were called byfunctions outside the cycle; second, the number of times they werecalled by functions in the cycle (including times when a function inthe cycle calls itself). This is a generalization of the usual splitinto non-recursive and recursive calls.The `calls' field of a subroutine-line for a cycle member in thecycle's entry says how many time that function was called fromfunctions in the cycle. The total of all these is the second number inthe primary line's `calls' field.In the individual entry for a function in a cycle, the otherfunctions in the same cycle can appear as subroutines and as callers.These lines show how many times each function in the cycle called orwas called from each other function in the cycle. The `self' and`children' fields in these lines are blank because of the difficulty ofdefining meanings for them when recursion is going on.File: gprof.info, Node: Line-by-line, Next: Annotated Source, Prev: Call Graph, Up: Output5.3 Line-by-line Profiling==========================`gprof''s `-l' option causes the program to perform "line-by-line"profiling. In this mode, histogram samples are assigned not tofunctions, but to individual lines of source code. The program usuallymust be compiled with a `-g' option, in addition to `-pg', in order togenerate debugging symbols for tracking source code lines.The flat profile is the most useful output table in line-by-linemode. The call graph isn't as useful as normal, since the currentversion of `gprof' does not propagate call graph arcs from source codelines to the enclosing function. The call graph does, however, showeach line of code that called each function, along with a count.Here is a section of `gprof''s output, without line-by-lineprofiling. Note that `ct_init' accounted for four histogram hits, and13327 calls to `init_block'.Flat profile:Each sample counts as 0.01 seconds.% cumulative self self totaltime seconds seconds calls us/call us/call name30.77 0.13 0.04 6335 6.31 6.31 ct_initCall graph (explanation follows)granularity: each sample hit covers 4 byte(s) for 7.69% of 0.13 secondsindex % time self children called name0.00 0.00 1/13496 name_too_long0.00 0.00 40/13496 deflate0.00 0.00 128/13496 deflate_fast0.00 0.00 13327/13496 ct_init[7] 0.0 0.00 0.00 13496 init_blockNow let's look at some of `gprof''s output from the same program run,this time with line-by-line profiling enabled. Note that `ct_init''sfour histogram hits are broken down into four lines of source code -one hit occurred on each of lines 349, 351, 382 and 385. In the callgraph, note how `ct_init''s 13327 calls to `init_block' are broken downinto one call from line 396, 3071 calls from line 384, 3730 calls fromline 385, and 6525 calls from 387.Flat profile:Each sample counts as 0.01 seconds.% cumulative selftime seconds seconds calls name7.69 0.10 0.01 ct_init (trees.c:349)7.69 0.11 0.01 ct_init (trees.c:351)7.69 0.12 0.01 ct_init (trees.c:382)7.69 0.13 0.01 ct_init (trees.c:385)Call graph (explanation follows)granularity: each sample hit covers 4 byte(s) for 7.69% of 0.13 seconds% time self children called name0.00 0.00 1/13496 name_too_long (gzip.c:1440)0.00 0.00 1/13496 deflate (deflate.c:763)0.00 0.00 1/13496 ct_init (trees.c:396)0.00 0.00 2/13496 deflate (deflate.c:727)0.00 0.00 4/13496 deflate (deflate.c:686)0.00 0.00 5/13496 deflate (deflate.c:675)0.00 0.00 12/13496 deflate (deflate.c:679)0.00 0.00 16/13496 deflate (deflate.c:730)0.00 0.00 128/13496 deflate_fast (deflate.c:654)0.00 0.00 3071/13496 ct_init (trees.c:384)0.00 0.00 3730/13496 ct_init (trees.c:385)0.00 0.00 6525/13496 ct_init (trees.c:387)[6] 0.0 0.00 0.00 13496 init_block (trees.c:408)File: gprof.info, Node: Annotated Source, Prev: Line-by-line, Up: Output5.4 The Annotated Source Listing================================`gprof''s `-A' option triggers an annotated source listing, which liststhe program's source code, each function labeled with the number oftimes it was called. You may also need to specify the `-I' option, if`gprof' can't find the source code files.Compiling with `gcc ... -g -pg -a' augments your program withbasic-block counting code, in addition to function counting code. Thisenables `gprof' to determine how many times each line of code wasexecuted. For example, consider the following function, taken fromgzip, with line numbers added:1 ulg updcrc(s, n)2 uch *s;3 unsigned n;4 {5 register ulg c;67 static ulg crc = (ulg)0xffffffffL;89 if (s == NULL) {10 c = 0xffffffffL;11 } else {12 c = crc;13 if (n) do {14 c = crc_32_tab[...];15 } while (--n);16 }17 crc = c;18 return c ^ 0xffffffffL;19 }`updcrc' has at least five basic-blocks. One is the functionitself. The `if' statement on line 9 generates two more basic-blocks,one for each branch of the `if'. A fourth basic-block results from the`if' on line 13, and the contents of the `do' loop form the fifthbasic-block. The compiler may also generate additional basic-blocks tohandle various special cases.A program augmented for basic-block counting can be analyzed with`gprof -l -A'. I also suggest use of the `-x' option, which ensuresthat each line of code is labeled at least once. Here is `updcrc''sannotated source listing for a sample `gzip' run:ulg updcrc(s, n)uch *s;unsigned n;2 ->{register ulg c;static ulg crc = (ulg)0xffffffffL;2 -> if (s == NULL) {1 -> c = 0xffffffffL;1 -> } else {1 -> c = crc;1 -> if (n) do {26312 -> c = crc_32_tab[...];26312,1,26311 -> } while (--n);}2 -> crc = c;2 -> return c ^ 0xffffffffL;2 ->}In this example, the function was called twice, passing once througheach branch of the `if' statement. The body of the `do' loop wasexecuted a total of 26312 times. Note how the `while' statement isannotated. It began execution 26312 times, once for each iterationthrough the loop. One of those times (the last time) it exited, whileit branched back to the beginning of the loop 26311 times.File: gprof.info, Node: Inaccuracy, Next: How do I?, Prev: Output, Up: Top6 Inaccuracy of `gprof' Output******************************* Menu:* Sampling Error:: Statistical margins of error* Assumptions:: Estimating children timesFile: gprof.info, Node: Sampling Error, Next: Assumptions, Up: Inaccuracy6.1 Statistical Sampling Error==============================The run-time figures that `gprof' gives you are based on a samplingprocess, so they are subject to statistical inaccuracy. If a functionruns only a small amount of time, so that on the average the samplingprocess ought to catch that function in the act only once, there is apretty good chance it will actually find that function zero times, ortwice.By contrast, the number-of-calls and basic-block figures are derivedby counting, not sampling. They are completely accurate and will notvary from run to run if your program is deterministic.The "sampling period" that is printed at the beginning of the flatprofile says how often samples are taken. The rule of thumb is that arun-time figure is accurate if it is considerably bigger than thesampling period.The actual amount of error can be predicted. For N samples, the_expected_ error is the square-root of N. For example, if the samplingperiod is 0.01 seconds and `foo''s run-time is 1 second, N is 100samples (1 second/0.01 seconds), sqrt(N) is 10 samples, so the expectederror in `foo''s run-time is 0.1 seconds (10*0.01 seconds), or tenpercent of the observed value. Again, if the sampling period is 0.01seconds and `bar''s run-time is 100 seconds, N is 10000 samples,sqrt(N) is 100 samples, so the expected error in `bar''s run-time is 1second, or one percent of the observed value. It is likely to varythis much _on the average_ from one profiling run to the next.(_Sometimes_ it will vary more.)This does not mean that a small run-time figure is devoid ofinformation. If the program's _total_ run-time is large, a smallrun-time for one function does tell you that that function used aninsignificant fraction of the whole program's time. Usually this meansit is not worth optimizing.One way to get more accuracy is to give your program more (butsimilar) input data so it will take longer. Another way is to combinethe data from several runs, using the `-s' option of `gprof'. Here ishow:1. Run your program once.2. Issue the command `mv gmon.out gmon.sum'.3. Run your program again, the same as before.4. Merge the new data in `gmon.out' into `gmon.sum' with this command:gprof -s EXECUTABLE-FILE gmon.out gmon.sum5. Repeat the last two steps as often as you wish.6. Analyze the cumulative data using this command:gprof EXECUTABLE-FILE gmon.sum > OUTPUT-FILEFile: gprof.info, Node: Assumptions, Prev: Sampling Error, Up: Inaccuracy6.2 Estimating `children' Times===============================Some of the figures in the call graph are estimates--for example, the`children' time values and all the time figures in caller andsubroutine lines.There is no direct information about these measurements in theprofile data itself. Instead, `gprof' estimates them by making anassumption about your program that might or might not be true.The assumption made is that the average time spent in each call toany function `foo' is not correlated with who called `foo'. If `foo'used 5 seconds in all, and 2/5 of the calls to `foo' came from `a',then `foo' contributes 2 seconds to `a''s `children' time, byassumption.This assumption is usually true enough, but for some programs it isfar from true. Suppose that `foo' returns very quickly when itsargument is zero; suppose that `a' always passes zero as an argument,while other callers of `foo' pass other arguments. In this program,all the time spent in `foo' is in the calls from callers other than `a'.But `gprof' has no way of knowing this; it will blindly and incorrectlycharge 2 seconds of time in `foo' to the children of `a'.We hope some day to put more complete data into `gmon.out', so thatthis assumption is no longer needed, if we can figure out how. For thenonce, the estimated figures are usually more useful than misleading.File: gprof.info, Node: How do I?, Next: Incompatibilities, Prev: Inaccuracy, Up: Top7 Answers to Common Questions*****************************How can I get more exact information about hot spots in my program?Looking at the per-line call counts only tells part of the story.Because `gprof' can only report call times and counts by function,the best way to get finer-grained information on where the programis spending its time is to re-factor large functions into sequencesof calls to smaller ones. Beware however that this can introduceartifical hot spots since compiling with `-pg' adds a significantoverhead to function calls. An alternative solution is to use anon-intrusive profiler, e.g. oprofile.How do I find which lines in my program were executed the most times?Compile your program with basic-block counting enabled, run it,then use the following pipeline:gprof -l -C OBJFILE | sort -k 3 -n -rThis listing will show you the lines in your code executed mostoften, but not necessarily those that consumed the most time.How do I find which lines in my program called a particular function?Use `gprof -l' and lookup the function in the call graph. Thecallers will be broken down by function and line number.How do I analyze a program that runs for less than a second?Try using a shell script like this one:for i in `seq 1 100`; dofastprogmv gmon.out gmon.out.$idonegprof -s fastprog gmon.out.*gprof fastprog gmon.sumIf your program is completely deterministic, all the call countswill be simple multiples of 100 (i.e. a function called once ineach run will appear with a call count of 100).File: gprof.info, Node: Incompatibilities, Next: Details, Prev: How do I?, Up: Top8 Incompatibilities with Unix `gprof'*************************************GNU `gprof' and Berkeley Unix `gprof' use the same data file`gmon.out', and provide essentially the same information. But thereare a few differences.* GNU `gprof' uses a new, generalized file format with support forbasic-block execution counts and non-realtime histograms. A magiccookie and version number allows `gprof' to easily identify newstyle files. Old BSD-style files can still be read. *Note FileFormat::.* For a recursive function, Unix `gprof' lists the function as aparent and as a child, with a `calls' field that lists the numberof recursive calls. GNU `gprof' omits these lines and puts thenumber of recursive calls in the primary line.* When a function is suppressed from the call graph with `-e', GNU`gprof' still lists it as a subroutine of functions that call it.* GNU `gprof' accepts the `-k' with its argument in the form`from/to', instead of `from to'.* In the annotated source listing, if there are multiple basicblocks on the same line, GNU `gprof' prints all of their counts,separated by commas.* The blurbs, field widths, and output formats are different. GNU`gprof' prints blurbs after the tables, so that you can see thetables without skipping the blurbs.File: gprof.info, Node: Details, Next: GNU Free Documentation License, Prev: Incompatibilities, Up: Top9 Details of Profiling*********************** Menu:* Implementation:: How a program collects profiling information* File Format:: Format of `gmon.out' files* Internals:: `gprof''s internal operation* Debugging:: Using `gprof''s `-d' optionFile: gprof.info, Node: Implementation, Next: File Format, Up: Details9.1 Implementation of Profiling===============================Profiling works by changing how every function in your program iscompiled so that when it is called, it will stash away some informationabout where it was called from. From this, the profiler can figure outwhat function called it, and can count how many times it was called.This change is made by the compiler when your program is compiled withthe `-pg' option, which causes every function to call `mcount' (or`_mcount', or `__mcount', depending on the OS and compiler) as one ofits first operations.The `mcount' routine, included in the profiling library, isresponsible for recording in an in-memory call graph table both itsparent routine (the child) and its parent's parent. This is typicallydone by examining the stack frame to find both the address of thechild, and the return address in the original parent. Since this is avery machine-dependent operation, `mcount' itself is typically a shortassembly-language stub routine that extracts the required information,and then calls `__mcount_internal' (a normal C function) with twoarguments - `frompc' and `selfpc'. `__mcount_internal' is responsiblefor maintaining the in-memory call graph, which records `frompc',`selfpc', and the number of times each of these call arcs was traversed.GCC Version 2 provides a magical function(`__builtin_return_address'), which allows a generic `mcount' functionto extract the required information from the stack frame. However, onsome architectures, most notably the SPARC, using this builtin can bevery computationally expensive, and an assembly language version of`mcount' is used for performance reasons.Number-of-calls information for library routines is collected byusing a special version of the C library. The programs in it are thesame as in the usual C library, but they were compiled with `-pg'. Ifyou link your program with `gcc ... -pg', it automatically uses theprofiling version of the library.Profiling also involves watching your program as it runs, andkeeping a histogram of where the program counter happens to be everynow and then. Typically the program counter is looked at around 100times per second of run time, but the exact frequency may vary fromsystem to system.This is done is one of two ways. Most UNIX-like operating systemsprovide a `profil()' system call, which registers a memory array withthe kernel, along with a scale factor that determines how the program'saddress space maps into the array. Typical scaling values cause every2 to 8 bytes of address space to map into a single array slot. Onevery tick of the system clock (assuming the profiled program isrunning), the value of the program counter is examined and thecorresponding slot in the memory array is incremented. Since this isdone in the kernel, which had to interrupt the process anyway to handlethe clock interrupt, very little additional system overhead is required.However, some operating systems, most notably Linux 2.0 (andearlier), do not provide a `profil()' system call. On such a system,arrangements are made for the kernel to periodically deliver a signalto the process (typically via `setitimer()'), which then performs thesame operation of examining the program counter and incrementing a slotin the memory array. Since this method requires a signal to bedelivered to user space every time a sample is taken, it usesconsiderably more overhead than kernel-based profiling. Also, due tothe added delay required to deliver the signal, this method is lessaccurate as well.A special startup routine allocates memory for the histogram andeither calls `profil()' or sets up a clock signal handler. Thisroutine (`monstartup') can be invoked in several ways. On Linuxsystems, a special profiling startup file `gcrt0.o', which invokes`monstartup' before `main', is used instead of the default `crt0.o'.Use of this special startup file is one of the effects of using `gcc... -pg' to link. On SPARC systems, no special startup files are used.Rather, the `mcount' routine, when it is invoked for the first time(typically when `main' is called), calls `monstartup'.If the compiler's `-a' option was used, basic-block counting is alsoenabled. Each object file is then compiled with a static array ofcounts, initially zero. In the executable code, every time a newbasic-block begins (i.e. when an `if' statement appears), an extrainstruction is inserted to increment the corresponding count in thearray. At compile time, a paired array was constructed that recordedthe starting address of each basic-block. Taken together, the twoarrays record the starting address of every basic-block, along with thenumber of times it was executed.The profiling library also includes a function (`mcleanup') which istypically registered using `atexit()' to be called as the programexits, and is responsible for writing the file `gmon.out'. Profilingis turned off, various headers are output, and the histogram iswritten, followed by the call-graph arcs and the basic-block counts.The output from `gprof' gives no indication of parts of your programthat are limited by I/O or swapping bandwidth. This is because samplesof the program counter are taken at fixed intervals of the program'srun time. Therefore, the time measurements in `gprof' output saynothing about time that your program was not running. For example, apart of the program that creates so much data that it cannot all fit inphysical memory at once may run very slowly due to thrashing, but`gprof' will say it uses little time. On the other hand, sampling byrun time has the advantage that the amount of load due to other userswon't directly affect the output you get.File: gprof.info, Node: File Format, Next: Internals, Prev: Implementation, Up: Details9.2 Profiling Data File Format==============================The old BSD-derived file format used for profile data does not contain amagic cookie that allows to check whether a data file really is a`gprof' file. Furthermore, it does not provide a version number, thusrendering changes to the file format almost impossible. GNU `gprof'uses a new file format that provides these features. For backwardcompatibility, GNU `gprof' continues to support the old BSD-derivedformat, but not all features are supported with it. For example,basic-block execution counts cannot be accommodated by the old fileformat.The new file format is defined in header file `gmon_out.h'. Itconsists of a header containing the magic cookie and a version number,as well as some spare bytes available for future extensions. All datain a profile data file is in the native format of the target for whichthe profile was collected. GNU `gprof' adapts automatically to thebyte-order in use.In the new file format, the header is followed by a sequence ofrecords. Currently, there are three different record types: histogramrecords, call-graph arc records, and basic-block execution countrecords. Each file can contain any number of each record type. Whenreading a file, GNU `gprof' will ensure records of the same type arecompatible with each other and compute the union of all records. Forexample, for basic-block execution counts, the union is simply the sumof all execution counts for each basic-block.9.2.1 Histogram Records-----------------------Histogram records consist of a header that is followed by an array ofbins. The header contains the text-segment range that the histogramspans, the size of the histogram in bytes (unlike in the old BSDformat, this does not include the size of the header), the rate of theprofiling clock, and the physical dimension that the bin countsrepresent after being scaled by the profiling clock rate. The physicaldimension is specified in two parts: a long name of up to 15 charactersand a single character abbreviation. For example, a histogramrepresenting real-time would specify the long name as "seconds" and theabbreviation as "s". This feature is useful for architectures thatsupport performance monitor hardware (which, fortunately, is becomingincreasingly common). For example, under DEC OSF/1, the "uprofile"command can be used to produce a histogram of, say, instruction cachemisses. In this case, the dimension in the histogram header could beset to "i-cache misses" and the abbreviation could be set to "1"(because it is simply a count, not a physical dimension). Also, theprofiling rate would have to be set to 1 in this case.Histogram bins are 16-bit numbers and each bin represent an equalamount of text-space. For example, if the text-segment is one thousandbytes long and if there are ten bins in the histogram, each binrepresents one hundred bytes.9.2.2 Call-Graph Records------------------------Call-graph records have a format that is identical to the one used inthe BSD-derived file format. It consists of an arc in the call graphand a count indicating the number of times the arc was traversed duringprogram execution. Arcs are specified by a pair of addresses: thefirst must be within caller's function and the second must be withinthe callee's function. When performing profiling at the functionlevel, these addresses can point anywhere within the respectivefunction. However, when profiling at the line-level, it is better ifthe addresses are as close to the call-site/entry-point as possible.This will ensure that the line-level call-graph is able to identifyexactly which line of source code performed calls to a function.9.2.3 Basic-Block Execution Count Records-----------------------------------------Basic-block execution count records consist of a header followed by asequence of address/count pairs. The header simply specifies thelength of the sequence. In an address/count pair, the addressidentifies a basic-block and the count specifies the number of timesthat basic-block was executed. Any address within the basic-address canbe used.File: gprof.info, Node: Internals, Next: Debugging, Prev: File Format, Up: Details9.3 `gprof''s Internal Operation================================Like most programs, `gprof' begins by processing its options. Duringthis stage, it may building its symspec list (`sym_ids.c:sym_id_add'),if options are specified which use symspecs. `gprof' maintains asingle linked list of symspecs, which will eventually get turned into12 symbol tables, organized into six include/exclude pairs - one paireach for the flat profile (INCL_FLAT/EXCL_FLAT), the call graph arcs(INCL_ARCS/EXCL_ARCS), printing in the call graph(INCL_GRAPH/EXCL_GRAPH), timing propagation in the call graph(INCL_TIME/EXCL_TIME), the annotated source listing(INCL_ANNO/EXCL_ANNO), and the execution count listing(INCL_EXEC/EXCL_EXEC).After option processing, `gprof' finishes building the symspec listby adding all the symspecs in `default_excluded_list' to the excludelists EXCL_TIME and EXCL_GRAPH, and if line-by-line profiling isspecified, EXCL_FLAT as well. These default excludes are not added toEXCL_ANNO, EXCL_ARCS, and EXCL_EXEC.Next, the BFD library is called to open the object file, verify thatit is an object file, and read its symbol table (`core.c:core_init'),using `bfd_canonicalize_symtab' after mallocing an appropriately sizedarray of symbols. At this point, function mappings are read (if the`--file-ordering' option has been specified), and the core text spaceis read into memory (if the `-c' option was given).`gprof''s own symbol table, an array of Sym structures, is now built.This is done in one of two ways, by one of two routines, depending onwhether line-by-line profiling (`-l' option) has been enabled. Fornormal profiling, the BFD canonical symbol table is scanned. Forline-by-line profiling, every text space address is examined, and a newsymbol table entry gets created every time the line number changes. Ineither case, two passes are made through the symbol table - one tocount the size of the symbol table required, and the other to actuallyread the symbols. In between the two passes, a single array of type`Sym' is created of the appropriate length. Finally,`symtab.c:symtab_finalize' is called to sort the symbol table andremove duplicate entries (entries with the same memory address).The symbol table must be a contiguous array for two reasons. First,the `qsort' library function (which sorts an array) will be used tosort the symbol table. Also, the symbol lookup routine(`symtab.c:sym_lookup'), which finds symbols based on memory address,uses a binary search algorithm which requires the symbol table to be asorted array. Function symbols are indicated with an `is_func' flag.Line number symbols have no special flags set. Additionally, a symbolcan have an `is_static' flag to indicate that it is a local symbol.With the symbol table read, the symspecs can now be translated intoSyms (`sym_ids.c:sym_id_parse'). Remember that a single symspec canmatch multiple symbols. An array of symbol tables (`syms') is created,each entry of which is a symbol table of Syms to be included orexcluded from a particular listing. The master symbol table and thesymspecs are examined by nested loops, and every symbol that matches asymspec is inserted into the appropriate syms table. This is donetwice, once to count the size of each required symbol table, and againto build the tables, which have been malloced between passes. From nowon, to determine whether a symbol is on an include or exclude symspeclist, `gprof' simply uses its standard symbol lookup routine on theappropriate table in the `syms' array.Now the profile data file(s) themselves are read(`gmon_io.c:gmon_out_read'), first by checking for a new-style`gmon.out' header, then assuming this is an old-style BSD `gmon.out' ifthe magic number test failed.New-style histogram records are read by `hist.c:hist_read_rec'. Forthe first histogram record, allocate a memory array to hold all thebins, and read them in. When multiple profile data files (or fileswith multiple histogram records) are read, the starting address, endingaddress, number of bins and sampling rate must match between thevarious histograms, or a fatal error will result. If everythingmatches, just sum the additional histograms into the existing in-memoryarray.As each call graph record is read (`call_graph.c:cg_read_rec'), theparent and child addresses are matched to symbol table entries, and acall graph arc is created by `cg_arcs.c:arc_add', unless the arc failsa symspec check against INCL_ARCS/EXCL_ARCS. As each arc is added, alinked list is maintained of the parent's child arcs, and of the child'sparent arcs. Both the child's call count and the arc's call count areincremented by the record's call count.Basic-block records are read (`basic_blocks.c:bb_read_rec'), butonly if line-by-line profiling has been selected. Each basic-blockaddress is matched to a corresponding line symbol in the symbol table,and an entry made in the symbol's bb_addr and bb_calls arrays. Again,if multiple basic-block records are present for the same address, thecall counts are cumulative.A gmon.sum file is dumped, if requested (`gmon_io.c:gmon_out_write').If histograms were present in the data files, assign them to symbols(`hist.c:hist_assign_samples') by iterating over all the sample binsand assigning them to symbols. Since the symbol table is sorted inorder of ascending memory addresses, we can simple follow along in thesymbol table as we make our pass over the sample bins. This stepincludes a symspec check against INCL_FLAT/EXCL_FLAT. Depending on thehistogram scale factor, a sample bin may span multiple symbols, inwhich case a fraction of the sample count is allocated to each symbol,proportional to the degree of overlap. This effect is rare for normalprofiling, but overlaps are more common during line-by-line profiling,and can cause each of two adjacent lines to be credited with half ahit, for example.If call graph data is present, `cg_arcs.c:cg_assemble' is called.First, if `-c' was specified, a machine-dependent routine (`find_call')scans through each symbol's machine code, looking for subroutine callinstructions, and adding them to the call graph with a zero call count.A topological sort is performed by depth-first numbering all thesymbols (`cg_dfn.c:cg_dfn'), so that children are always numbered lessthan their parents, then making a array of pointers into the symboltable and sorting it into numerical order, which is reverse topologicalorder (children appear before parents). Cycles are also detected atthis point, all members of which are assigned the same topologicalnumber. Two passes are now made through this sorted array of symbolpointers. The first pass, from end to beginning (parents to children),computes the fraction of child time to propagate to each parent and aprint flag. The print flag reflects symspec handling ofINCL_GRAPH/EXCL_GRAPH, with a parent's include or exclude (print or noprint) property being propagated to its children, unless theythemselves explicitly appear in INCL_GRAPH or EXCL_GRAPH. A secondpass, from beginning to end (children to parents) actually propagatesthe timings along the call graph, subject to a check againstINCL_TIME/EXCL_TIME. With the print flag, fractions, and timings nowstored in the symbol structures, the topological sort array is nowdiscarded, and a new array of pointers is assembled, this time sortedby propagated time.Finally, print the various outputs the user requested, which is nowfairly straightforward. The call graph (`cg_print.c:cg_print') andflat profile (`hist.c:hist_print') are regurgitations of values alreadycomputed. The annotated source listing(`basic_blocks.c:print_annotated_source') uses basic-block information,if present, to label each line of code with call counts, otherwise onlythe function call counts are presented.The function ordering code is marginally well documented in thesource code itself (`cg_print.c'). Basically, the functions with themost use and the most parents are placed first, followed by otherfunctions with the most use, followed by lower use functions, followedby unused functions at the end.File: gprof.info, Node: Debugging, Prev: Internals, Up: Details9.3.1 Debugging `gprof'-----------------------If `gprof' was compiled with debugging enabled, the `-d' optiontriggers debugging output (to stdout) which can be helpful inunderstanding its operation. The debugging number specified isinterpreted as a sum of the following options:2 - Topological sortMonitor depth-first numbering of symbols during call graph analysis4 - CyclesShows symbols as they are identified as cycle heads16 - TallyingAs the call graph arcs are read, show each arc and how the totalcalls to each function are tallied32 - Call graph arc sortingDetails sorting individual parents/children within each call graphentry64 - Reading histogram and call graph recordsShows address ranges of histograms as they are read, and each callgraph arc128 - Symbol tableReading, classifying, and sorting the symbol table from the objectfile. For line-by-line profiling (`-l' option), also shows linenumbers being assigned to memory addresses.256 - Static call graphTrace operation of `-c' option512 - Symbol table and arc table lookupsDetail operation of lookup routines1024 - Call graph propagationShows how function times are propagated along the call graph2048 - Basic-blocksShows basic-block records as they are read from profile data (onlymeaningful with `-l' option)4096 - SymspecsShows symspec-to-symbol pattern matching operation8192 - Annotate sourceTracks operation of `-A' optionFile: gprof.info, Node: GNU Free Documentation License, Prev: Details, Up: Top10 GNU Free Documentation License*********************************GNU Free Documentation LicenseVersion 1.1, March 2000Copyright (C) 2000 Free Software Foundation, Inc. 51 FranklinStreet, Fifth Floor, Boston, MA 02110-1301 USAEveryone is permitted to copy and distribute verbatim copies ofthis license document, but changing it is not allowed.0. 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