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- or any later version published by the Free Software Foundation;
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- <body lang="en">
- <h1 class="settitle" align="center">GNU gprof</h1>
- <span id="SEC_Contents"></span>
- <h2 class="contents-heading">Table of Contents</h2>
- <div class="contents">
- <ul class="no-bullet">
- <li><a id="toc-Introduction-to-Profiling" href="#Introduction">1 Introduction to Profiling</a></li>
- <li><a id="toc-Compiling-a-Program-for-Profiling" href="#Compiling">2 Compiling a Program for Profiling</a></li>
- <li><a id="toc-Executing-the-Program" href="#Executing">3 Executing the Program</a></li>
- <li><a id="toc-gprof-Command-Summary" href="#Invoking">4 <code>gprof</code> Command Summary</a>
- <ul class="no-bullet">
- <li><a id="toc-Output-Options-1" href="#Output-Options">4.1 Output Options</a></li>
- <li><a id="toc-Analysis-Options-1" href="#Analysis-Options">4.2 Analysis Options</a></li>
- <li><a id="toc-Miscellaneous-Options-1" href="#Miscellaneous-Options">4.3 Miscellaneous Options</a></li>
- <li><a id="toc-Deprecated-Options-1" href="#Deprecated-Options">4.4 Deprecated Options</a></li>
- <li><a id="toc-Symspecs-1" href="#Symspecs">4.5 Symspecs</a></li>
- </ul></li>
- <li><a id="toc-Interpreting-gprof_0027s-Output" href="#Output">5 Interpreting <code>gprof</code>’s Output</a>
- <ul class="no-bullet">
- <li><a id="toc-The-Flat-Profile" href="#Flat-Profile">5.1 The Flat Profile</a></li>
- <li><a id="toc-The-Call-Graph" href="#Call-Graph">5.2 The Call Graph</a>
- <ul class="no-bullet">
- <li><a id="toc-The-Primary-Line" href="#Primary">5.2.1 The Primary Line</a></li>
- <li><a id="toc-Lines-for-a-Function_0027s-Callers" href="#Callers">5.2.2 Lines for a Function’s Callers</a></li>
- <li><a id="toc-Lines-for-a-Function_0027s-Subroutines" href="#Subroutines">5.2.3 Lines for a Function’s Subroutines</a></li>
- <li><a id="toc-How-Mutually-Recursive-Functions-Are-Described" href="#Cycles">5.2.4 How Mutually Recursive Functions Are Described</a></li>
- </ul></li>
- <li><a id="toc-Line_002dby_002dline-Profiling" href="#Line_002dby_002dline">5.3 Line-by-line Profiling</a></li>
- <li><a id="toc-The-Annotated-Source-Listing" href="#Annotated-Source">5.4 The Annotated Source Listing</a></li>
- </ul></li>
- <li><a id="toc-Inaccuracy-of-gprof-Output" href="#Inaccuracy">6 Inaccuracy of <code>gprof</code> Output</a>
- <ul class="no-bullet">
- <li><a id="toc-Statistical-Sampling-Error" href="#Sampling-Error">6.1 Statistical Sampling Error</a></li>
- <li><a id="toc-Estimating-children-Times" href="#Assumptions">6.2 Estimating <code>children</code> Times</a></li>
- </ul></li>
- <li><a id="toc-Answers-to-Common-Questions" href="#How-do-I_003f">7 Answers to Common Questions</a></li>
- <li><a id="toc-Incompatibilities-with-Unix-gprof" href="#Incompatibilities">8 Incompatibilities with Unix <code>gprof</code></a></li>
- <li><a id="toc-Details-of-Profiling" href="#Details">9 Details of Profiling</a>
- <ul class="no-bullet">
- <li><a id="toc-Implementation-of-Profiling" href="#Implementation">9.1 Implementation of Profiling</a></li>
- <li><a id="toc-Profiling-Data-File-Format" href="#File-Format">9.2 Profiling Data File Format</a>
- <ul class="no-bullet">
- <li><a id="toc-Histogram-Records" href="#Histogram-Records">9.2.1 Histogram Records</a></li>
- <li><a id="toc-Call_002dGraph-Records" href="#Call_002dGraph-Records">9.2.2 Call-Graph Records</a></li>
- <li><a id="toc-Basic_002dBlock-Execution-Count-Records" href="#Basic_002dBlock-Execution-Count-Records">9.2.3 Basic-Block Execution Count Records</a></li>
- </ul></li>
- <li><a id="toc-gprof_0027s-Internal-Operation" href="#Internals">9.3 <code>gprof</code>’s Internal Operation</a></li>
- <li><a id="toc-Debugging-gprof" href="#Debugging">9.4 Debugging <code>gprof</code></a></li>
- </ul></li>
- <li><a id="toc-GNU-Free-Documentation-License-1" href="#GNU-Free-Documentation-License">Appendix A GNU Free Documentation License</a></li>
- </ul>
- </div>
- <span id="Top"></span><div class="header">
- <p>
- Next: <a href="#Introduction" accesskey="n" rel="next">Introduction</a> [<a href="#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
- </div>
- <span id="Profiling-a-Program_003a-Where-Does-It-Spend-Its-Time_003f"></span><h1 class="top">Profiling a Program: Where Does It Spend Its Time?</h1>
- <p>This manual describes the <small>GNU</small> profiler, <code>gprof</code>, and how you
- can use it to determine which parts of a program are taking most of the
- execution time. We assume that you know how to write, compile, and
- execute programs. <small>GNU</small> <code>gprof</code> was written by Jay Fenlason.
- </p>
- <p>This manual is for <code>gprof</code>
- (Arm GNU Toolchain 13.3.Rel1 (Build arm-13.24))
- version 2.42.0.
- </p>
- <p>This document is distributed under the terms of the GNU Free
- Documentation License version 1.3. A copy of the license is included
- in the section entitled “GNU Free Documentation License”.
- </p>
- <table class="menu" border="0" cellspacing="0">
- <tr><td align="left" valign="top">• <a href="#Introduction" accesskey="1">Introduction</a></td><td> </td><td align="left" valign="top">What profiling means, and why it is useful.
- </td></tr>
- <tr><th colspan="3" align="left" valign="top"><pre class="menu-comment">
- </pre></th></tr><tr><td align="left" valign="top">• <a href="#Compiling" accesskey="2">Compiling</a></td><td> </td><td align="left" valign="top">How to compile your program for profiling.
- </td></tr>
- <tr><td align="left" valign="top">• <a href="#Executing" accesskey="3">Executing</a></td><td> </td><td align="left" valign="top">Executing your program to generate profile data
- </td></tr>
- <tr><td align="left" valign="top">• <a href="#Invoking" accesskey="4">Invoking</a></td><td> </td><td align="left" valign="top">How to run <code>gprof</code>, and its options
- </td></tr>
- <tr><th colspan="3" align="left" valign="top"><pre class="menu-comment">
- </pre></th></tr><tr><td align="left" valign="top">• <a href="#Output" accesskey="5">Output</a></td><td> </td><td align="left" valign="top">Interpreting <code>gprof</code>’s output
- </td></tr>
- <tr><th colspan="3" align="left" valign="top"><pre class="menu-comment">
- </pre></th></tr><tr><td align="left" valign="top">• <a href="#Inaccuracy" accesskey="6">Inaccuracy</a></td><td> </td><td align="left" valign="top">Potential problems you should be aware of
- </td></tr>
- <tr><td align="left" valign="top">• <a href="#How-do-I_003f" accesskey="7">How do I?</a></td><td> </td><td align="left" valign="top">Answers to common questions
- </td></tr>
- <tr><td align="left" valign="top">• <a href="#Incompatibilities" accesskey="8">Incompatibilities</a></td><td> </td><td align="left" valign="top">(between <small>GNU</small> <code>gprof</code> and Unix <code>gprof</code>.)
- </td></tr>
- <tr><td align="left" valign="top">• <a href="#Details" accesskey="9">Details</a></td><td> </td><td align="left" valign="top">Details of how profiling is done
- </td></tr>
- <tr><td align="left" valign="top">• <a href="#GNU-Free-Documentation-License">GNU Free Documentation License</a></td><td> </td><td align="left" valign="top">GNU Free Documentation License
- </td></tr>
- </table>
- <hr>
- <span id="Introduction"></span><div class="header">
- <p>
- Next: <a href="#Compiling" accesskey="n" rel="next">Compiling</a>, Previous: <a href="#Top" accesskey="p" rel="prev">Top</a>, Up: <a href="#Top" accesskey="u" rel="up">Top</a> [<a href="#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
- </div>
- <span id="Introduction-to-Profiling"></span><h2 class="chapter">1 Introduction to Profiling</h2>
- <p>Profiling allows you to learn where your program spent its time and which
- functions called which other functions while it was executing. This
- information can show you which pieces of your program are slower than you
- expected, and might be candidates for rewriting to make your program
- execute faster. It can also tell you which functions are being called more
- or less often than you expected. This may help you spot bugs that had
- otherwise been unnoticed.
- </p>
- <p>Since the profiler uses information collected during the actual execution
- of your program, it can be used on programs that are too large or too
- complex to analyze by reading the source. However, how your program is run
- will affect the information that shows up in the profile data. If you
- don’t use some feature of your program while it is being profiled, no
- profile information will be generated for that feature.
- </p>
- <p>Profiling has several steps:
- </p>
- <ul>
- <li> You must compile and link your program with profiling enabled.
- See <a href="#Compiling">Compiling a Program for Profiling</a>.
- </li><li> You must execute your program to generate a profile data file.
- See <a href="#Executing">Executing the Program</a>.
- </li><li> You must run <code>gprof</code> to analyze the profile data.
- See <a href="#Invoking"><code>gprof</code> Command Summary</a>.
- </li></ul>
- <p>The next three chapters explain these steps in greater detail.
- </p>
- <p>Several forms of output are available from the analysis.
- </p>
- <p>The <em>flat profile</em> shows how much time your program spent in each function,
- and how many times that function was called. If you simply want to know
- which functions burn most of the cycles, it is stated concisely here.
- See <a href="#Flat-Profile">The Flat Profile</a>.
- </p>
- <p>The <em>call graph</em> shows, for each function, which functions called it, which
- other functions it called, and how many times. There is also an estimate
- of how much time was spent in the subroutines of each function. This can
- suggest places where you might try to eliminate function calls that use a
- lot of time. See <a href="#Call-Graph">The Call Graph</a>.
- </p>
- <p>The <em>annotated source</em> listing is a copy of the program’s
- source code, labeled with the number of times each line of the
- program was executed. See <a href="#Annotated-Source">The Annotated Source
- Listing</a>.
- </p>
- <p>To better understand how profiling works, you may wish to read
- a description of its implementation.
- See <a href="#Implementation">Implementation of Profiling</a>.
- </p>
- <hr>
- <span id="Compiling"></span><div class="header">
- <p>
- Next: <a href="#Executing" accesskey="n" rel="next">Executing</a>, Previous: <a href="#Introduction" accesskey="p" rel="prev">Introduction</a>, Up: <a href="#Top" accesskey="u" rel="up">Top</a> [<a href="#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
- </div>
- <span id="Compiling-a-Program-for-Profiling"></span><h2 class="chapter">2 Compiling a Program for Profiling</h2>
- <p>The first step in generating profile information for your program is
- to compile and link it with profiling enabled.
- </p>
- <p>To compile a source file for profiling, specify the ‘<samp>-pg</samp>’ option when
- you run the compiler. (This is in addition to the options you normally
- use.)
- </p>
- <p>To link the program for profiling, if you use a compiler such as <code>cc</code>
- to do the linking, simply specify ‘<samp>-pg</samp>’ in addition to your usual
- options. The same option, ‘<samp>-pg</samp>’, alters either compilation or linking
- to do what is necessary for profiling. Here are examples:
- </p>
- <div class="example">
- <pre class="example">cc -g -c myprog.c utils.c -pg
- cc -o myprog myprog.o utils.o -pg
- </pre></div>
- <p>The ‘<samp>-pg</samp>’ option also works with a command that both compiles and links:
- </p>
- <div class="example">
- <pre class="example">cc -o myprog myprog.c utils.c -g -pg
- </pre></div>
- <p>Note: The ‘<samp>-pg</samp>’ option must be part of your compilation options
- as well as your link options. If it is not then no call-graph data
- will be gathered and when you run <code>gprof</code> you will get an error
- message like this:
- </p>
- <div class="example">
- <pre class="example">gprof: gmon.out file is missing call-graph data
- </pre></div>
- <p>If you add the ‘<samp>-Q</samp>’ switch to suppress the printing of the call
- graph data you will still be able to see the time samples:
- </p>
- <div class="example">
- <pre class="example">Flat profile:
- Each sample counts as 0.01 seconds.
- % cumulative self self total
- time seconds seconds calls Ts/call Ts/call name
- 44.12 0.07 0.07 zazLoop
- 35.29 0.14 0.06 main
- 20.59 0.17 0.04 bazMillion
- </pre></div>
- <p>If you run the linker <code>ld</code> directly instead of through a compiler
- such as <code>cc</code>, you may have to specify a profiling startup file
- <samp>gcrt0.o</samp> as the first input file instead of the usual startup
- file <samp>crt0.o</samp>. In addition, you would probably want to
- specify the profiling C library, <samp>libc_p.a</samp>, by writing
- ‘<samp>-lc_p</samp>’ instead of the usual ‘<samp>-lc</samp>’. This is not absolutely
- necessary, but doing this gives you number-of-calls information for
- standard library functions such as <code>read</code> and <code>open</code>. For
- example:
- </p>
- <div class="example">
- <pre class="example">ld -o myprog /lib/gcrt0.o myprog.o utils.o -lc_p
- </pre></div>
- <p>If you are running the program on a system which supports shared
- libraries you may run into problems with the profiling support code in
- a shared library being called before that library has been fully
- initialised. This is usually detected by the program encountering a
- segmentation fault as soon as it is run. The solution is to link
- against a static version of the library containing the profiling
- support code, which for <code>gcc</code> users can be done via the
- ‘<samp>-static</samp>’ or ‘<samp>-static-libgcc</samp>’ command-line option. For
- example:
- </p>
- <div class="example">
- <pre class="example">gcc -g -pg -static-libgcc myprog.c utils.c -o myprog
- </pre></div>
- <p>If you compile only some of the modules of the program with ‘<samp>-pg</samp>’, you
- can still profile the program, but you won’t get complete information about
- the modules that were compiled without ‘<samp>-pg</samp>’. The only information
- you get for the functions in those modules is the total time spent in them;
- there is no record of how many times they were called, or from where. This
- will not affect the flat profile (except that the <code>calls</code> field for
- the functions will be blank), but will greatly reduce the usefulness of the
- call graph.
- </p>
- <p>If you wish to perform line-by-line profiling you should use the
- <code>gcov</code> tool instead of <code>gprof</code>. See that tool’s manual or
- info pages for more details of how to do this.
- </p>
- <p>Note, older versions of <code>gcc</code> produce line-by-line profiling
- information that works with <code>gprof</code> rather than <code>gcov</code> so
- there is still support for displaying this kind of information in
- <code>gprof</code>. See <a href="#Line_002dby_002dline">Line-by-line Profiling</a>.
- </p>
- <p>It also worth noting that <code>gcc</code> implements a
- ‘<samp>-finstrument-functions</samp>’ command-line option which will insert
- calls to special user supplied instrumentation routines at the entry
- and exit of every function in their program. This can be used to
- implement an alternative profiling scheme.
- </p>
- <hr>
- <span id="Executing"></span><div class="header">
- <p>
- Next: <a href="#Invoking" accesskey="n" rel="next">Invoking</a>, Previous: <a href="#Compiling" accesskey="p" rel="prev">Compiling</a>, Up: <a href="#Top" accesskey="u" rel="up">Top</a> [<a href="#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
- </div>
- <span id="Executing-the-Program"></span><h2 class="chapter">3 Executing the Program</h2>
- <p>Once the program is compiled for profiling, you must run it in order to
- generate the information that <code>gprof</code> needs. Simply run the program
- as usual, using the normal arguments, file names, etc. The program should
- run normally, producing the same output as usual. It will, however, run
- somewhat slower than normal because of the time spent collecting and
- writing the profile data.
- </p>
- <p>The way you run the program—the arguments and input that you give
- it—may have a dramatic effect on what the profile information shows. The
- profile data will describe the parts of the program that were activated for
- the particular input you use. For example, if the first command you give
- to your program is to quit, the profile data will show the time used in
- initialization and in cleanup, but not much else.
- </p>
- <p>Your program will write the profile data into a file called <samp>gmon.out</samp>
- just before exiting. If there is already a file called <samp>gmon.out</samp>,
- its contents are overwritten. You can rename the file afterwards if you
- are concerned that it may be overwritten. If your system libc allows you
- may be able to write the profile data under a different name. Set the
- GMON_OUT_PREFIX environment variable; this name will be appended with
- the PID of the running program.
- </p>
- <p>In order to write the <samp>gmon.out</samp> file properly, your program must exit
- normally: by returning from <code>main</code> or by calling <code>exit</code>. Calling
- the low-level function <code>_exit</code> does not write the profile data, and
- neither does abnormal termination due to an unhandled signal.
- </p>
- <p>The <samp>gmon.out</samp> file is written in the program’s <em>current working
- directory</em> at the time it exits. This means that if your program calls
- <code>chdir</code>, the <samp>gmon.out</samp> file will be left in the last directory
- your program <code>chdir</code>’d to. If you don’t have permission to write in
- this directory, the file is not written, and you will get an error message.
- </p>
- <p>Older versions of the <small>GNU</small> profiling library may also write a file
- called <samp>bb.out</samp>. This file, if present, contains an human-readable
- listing of the basic-block execution counts. Unfortunately, the
- appearance of a human-readable <samp>bb.out</samp> means the basic-block
- counts didn’t get written into <samp>gmon.out</samp>.
- The Perl script <code>bbconv.pl</code>, included with the <code>gprof</code>
- source distribution, will convert a <samp>bb.out</samp> file into
- a format readable by <code>gprof</code>. Invoke it like this:
- </p>
- <div class="example">
- <pre class="example">bbconv.pl < bb.out > <var>bh-data</var>
- </pre></div>
- <p>This translates the information in <samp>bb.out</samp> into a form that
- <code>gprof</code> can understand. But you still need to tell <code>gprof</code>
- about the existence of this translated information. To do that, include
- <var>bb-data</var> on the <code>gprof</code> command line, <em>along with
- <samp>gmon.out</samp></em>, like this:
- </p>
- <div class="example">
- <pre class="example">gprof <var>options</var> <var>executable-file</var> gmon.out <var>bb-data</var> [<var>yet-more-profile-data-files</var>…] [> <var>outfile</var>]
- </pre></div>
- <hr>
- <span id="Invoking"></span><div class="header">
- <p>
- Next: <a href="#Output" accesskey="n" rel="next">Output</a>, Previous: <a href="#Executing" accesskey="p" rel="prev">Executing</a>, Up: <a href="#Top" accesskey="u" rel="up">Top</a> [<a href="#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
- </div>
- <span id="gprof-Command-Summary"></span><h2 class="chapter">4 <code>gprof</code> Command Summary</h2>
- <p>After you have a profile data file <samp>gmon.out</samp>, you can run <code>gprof</code>
- to interpret the information in it. The <code>gprof</code> program prints a
- flat profile and a call graph on standard output. Typically you would
- redirect the output of <code>gprof</code> into a file with ‘<samp>></samp>’.
- </p>
- <p>You run <code>gprof</code> like this:
- </p>
- <div class="example">
- <pre class="example">gprof <var>options</var> [<var>executable-file</var> [<var>profile-data-files</var>…]] [> <var>outfile</var>]
- </pre></div>
- <p>Here square-brackets indicate optional arguments.
- </p>
- <p>If you omit the executable file name, the file <samp>a.out</samp> is used. If
- you give no profile data file name, the file <samp>gmon.out</samp> is used. If
- any file is not in the proper format, or if the profile data file does not
- appear to belong to the executable file, an error message is printed.
- </p>
- <p>You can give more than one profile data file by entering all their names
- after the executable file name; then the statistics in all the data files
- are summed together.
- </p>
- <p>The order of these options does not matter.
- </p>
- <table class="menu" border="0" cellspacing="0">
- <tr><td align="left" valign="top">• <a href="#Output-Options" accesskey="1">Output Options</a></td><td> </td><td align="left" valign="top">Controlling <code>gprof</code>’s output style
- </td></tr>
- <tr><td align="left" valign="top">• <a href="#Analysis-Options" accesskey="2">Analysis Options</a></td><td> </td><td align="left" valign="top">Controlling how <code>gprof</code> analyzes its data
- </td></tr>
- <tr><td align="left" valign="top">• <a href="#Miscellaneous-Options" accesskey="3">Miscellaneous Options</a></td><td> </td><td align="left" valign="top">
- </td></tr>
- <tr><td align="left" valign="top">• <a href="#Deprecated-Options" accesskey="4">Deprecated Options</a></td><td> </td><td align="left" valign="top">Options you no longer need to use, but which
- have been retained for compatibility
- </td></tr>
- <tr><td align="left" valign="top">• <a href="#Symspecs" accesskey="5">Symspecs</a></td><td> </td><td align="left" valign="top">Specifying functions to include or exclude
- </td></tr>
- </table>
- <hr>
- <span id="Output-Options"></span><div class="header">
- <p>
- Next: <a href="#Analysis-Options" accesskey="n" rel="next">Analysis Options</a>, Up: <a href="#Invoking" accesskey="u" rel="up">Invoking</a> [<a href="#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
- </div>
- <span id="Output-Options-1"></span><h3 class="section">4.1 Output Options</h3>
- <p>These options specify which of several output formats
- <code>gprof</code> should produce.
- </p>
- <p>Many of these options take an optional <em>symspec</em> to specify
- functions to be included or excluded. These options can be
- specified multiple times, with different symspecs, to include
- or exclude sets of symbols. See <a href="#Symspecs">Symspecs</a>.
- </p>
- <p>Specifying any of these options overrides the default (‘<samp>-p -q</samp>’),
- which prints a flat profile and call graph analysis
- for all functions.
- </p>
- <dl compact="compact">
- <dt><code>-A[<var>symspec</var>]</code></dt>
- <dt><code>--annotated-source[=<var>symspec</var>]</code></dt>
- <dd><p>The ‘<samp>-A</samp>’ option causes <code>gprof</code> to print annotated source code.
- If <var>symspec</var> is specified, print output only for matching symbols.
- See <a href="#Annotated-Source">The Annotated Source Listing</a>.
- </p>
- </dd>
- <dt><code>-b</code></dt>
- <dt><code>--brief</code></dt>
- <dd><p>If the ‘<samp>-b</samp>’ option is given, <code>gprof</code> doesn’t print the
- verbose blurbs that try to explain the meaning of all of the fields in
- the tables. This is useful if you intend to print out the output, or
- are tired of seeing the blurbs.
- </p>
- </dd>
- <dt><code>-B</code></dt>
- <dd><p>The ‘<samp>-B</samp>’ option causes <code>gprof</code> to print the call graph analysis.
- </p>
- </dd>
- <dt><code>-C[<var>symspec</var>]</code></dt>
- <dt><code>--exec-counts[=<var>symspec</var>]</code></dt>
- <dd><p>The ‘<samp>-C</samp>’ option causes <code>gprof</code> to
- print a tally of functions and the number of times each was called.
- If <var>symspec</var> is specified, print tally only for matching symbols.
- </p>
- <p>If the profile data file contains basic-block count records, specifying
- the ‘<samp>-l</samp>’ option, along with ‘<samp>-C</samp>’, will cause basic-block
- execution counts to be tallied and displayed.
- </p>
- </dd>
- <dt><code>-i</code></dt>
- <dt><code>--file-info</code></dt>
- <dd><p>The ‘<samp>-i</samp>’ option causes <code>gprof</code> to display summary information
- about the profile data file(s) and then exit. The number of histogram,
- call graph, and basic-block count records is displayed.
- </p>
- </dd>
- <dt><code>-I <var>dirs</var></code></dt>
- <dt><code>--directory-path=<var>dirs</var></code></dt>
- <dd><p>The ‘<samp>-I</samp>’ option specifies a list of search directories in
- which to find source files. Environment variable <var>GPROF_PATH</var>
- can also be used to convey this information.
- Used mostly for annotated source output.
- </p>
- </dd>
- <dt><code>-J[<var>symspec</var>]</code></dt>
- <dt><code>--no-annotated-source[=<var>symspec</var>]</code></dt>
- <dd><p>The ‘<samp>-J</samp>’ option causes <code>gprof</code> not to
- print annotated source code.
- If <var>symspec</var> is specified, <code>gprof</code> prints annotated source,
- but excludes matching symbols.
- </p>
- </dd>
- <dt><code>-L</code></dt>
- <dt><code>--print-path</code></dt>
- <dd><p>Normally, source filenames are printed with the path
- component suppressed. The ‘<samp>-L</samp>’ option causes <code>gprof</code>
- to print the full pathname of
- source filenames, which is determined
- from symbolic debugging information in the image file
- and is relative to the directory in which the compiler
- was invoked.
- </p>
- </dd>
- <dt><code>-p[<var>symspec</var>]</code></dt>
- <dt><code>--flat-profile[=<var>symspec</var>]</code></dt>
- <dd><p>The ‘<samp>-p</samp>’ option causes <code>gprof</code> to print a flat profile.
- If <var>symspec</var> is specified, print flat profile only for matching symbols.
- See <a href="#Flat-Profile">The Flat Profile</a>.
- </p>
- </dd>
- <dt><code>-P[<var>symspec</var>]</code></dt>
- <dt><code>--no-flat-profile[=<var>symspec</var>]</code></dt>
- <dd><p>The ‘<samp>-P</samp>’ option causes <code>gprof</code> to suppress printing a flat profile.
- If <var>symspec</var> is specified, <code>gprof</code> prints a flat profile,
- but excludes matching symbols.
- </p>
- </dd>
- <dt><code>-q[<var>symspec</var>]</code></dt>
- <dt><code>--graph[=<var>symspec</var>]</code></dt>
- <dd><p>The ‘<samp>-q</samp>’ option causes <code>gprof</code> to print the call graph analysis.
- If <var>symspec</var> is specified, print call graph only for matching symbols
- and their children.
- See <a href="#Call-Graph">The Call Graph</a>.
- </p>
- </dd>
- <dt><code>-Q[<var>symspec</var>]</code></dt>
- <dt><code>--no-graph[=<var>symspec</var>]</code></dt>
- <dd><p>The ‘<samp>-Q</samp>’ option causes <code>gprof</code> to suppress printing the
- call graph.
- If <var>symspec</var> is specified, <code>gprof</code> prints a call graph,
- but excludes matching symbols.
- </p>
- </dd>
- <dt><code>-t</code></dt>
- <dt><code>--table-length=<var>num</var></code></dt>
- <dd><p>The ‘<samp>-t</samp>’ option causes the <var>num</var> most active source lines in
- each source file to be listed when source annotation is enabled. The
- default is 10.
- </p>
- </dd>
- <dt><code>-y</code></dt>
- <dt><code>--separate-files</code></dt>
- <dd><p>This option affects annotated source output only.
- Normally, <code>gprof</code> prints annotated source files
- to standard-output. If this option is specified,
- annotated source for a file named <samp>path/<var>filename</var></samp>
- is generated in the file <samp><var>filename</var>-ann</samp>. If the underlying
- file system would truncate <samp><var>filename</var>-ann</samp> so that it
- overwrites the original <samp><var>filename</var></samp>, <code>gprof</code> generates
- annotated source in the file <samp><var>filename</var>.ann</samp> instead (if the
- original file name has an extension, that extension is <em>replaced</em>
- with <samp>.ann</samp>).
- </p>
- </dd>
- <dt><code>-Z[<var>symspec</var>]</code></dt>
- <dt><code>--no-exec-counts[=<var>symspec</var>]</code></dt>
- <dd><p>The ‘<samp>-Z</samp>’ option causes <code>gprof</code> not to
- print a tally of functions and the number of times each was called.
- If <var>symspec</var> is specified, print tally, but exclude matching symbols.
- </p>
- </dd>
- <dt><code>-r</code></dt>
- <dt><code>--function-ordering</code></dt>
- <dd><p>The ‘<samp>--function-ordering</samp>’ option causes <code>gprof</code> to print a
- suggested function ordering for the program based on profiling data.
- This option suggests an ordering which may improve paging, tlb and
- cache behavior for the program on systems which support arbitrary
- ordering of functions in an executable.
- </p>
- <p>The exact details of how to force the linker to place functions
- in a particular order is system dependent and out of the scope of this
- manual.
- </p>
- </dd>
- <dt><code>-R <var>map_file</var></code></dt>
- <dt><code>--file-ordering <var>map_file</var></code></dt>
- <dd><p>The ‘<samp>--file-ordering</samp>’ option causes <code>gprof</code> 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 and
- cache behavior for the program on systems which do not support arbitrary
- ordering of functions in an executable.
- </p>
- <p>Use of the ‘<samp>-a</samp>’ argument is highly recommended with this option.
- </p>
- <p>The <var>map_file</var> argument is a pathname to a file which provides
- function name to object file mappings. The format of the file is similar to
- the output of the program <code>nm</code>.
- </p>
- <div class="example">
- <pre class="example">c-parse.o:00000000 T yyparse
- c-parse.o:00000004 C yyerrflag
- c-lang.o:00000000 T maybe_objc_method_name
- c-lang.o:00000000 T print_lang_statistics
- c-lang.o:00000000 T recognize_objc_keyword
- c-decl.o:00000000 T print_lang_identifier
- c-decl.o:00000000 T print_lang_type
- …
- </pre></div>
- <p>To create a <var>map_file</var> with <small>GNU</small> <code>nm</code>, type a command like
- <kbd>nm --extern-only --defined-only -v --print-file-name program-name</kbd>.
- </p>
- </dd>
- <dt><code>-T</code></dt>
- <dt><code>--traditional</code></dt>
- <dd><p>The ‘<samp>-T</samp>’ option causes <code>gprof</code> to print its output in
- “traditional” BSD style.
- </p>
- </dd>
- <dt><code>-w <var>width</var></code></dt>
- <dt><code>--width=<var>width</var></code></dt>
- <dd><p>Sets width of output lines to <var>width</var>.
- Currently only used when printing the function index at the bottom
- of the call graph.
- </p>
- </dd>
- <dt><code>-x</code></dt>
- <dt><code>--all-lines</code></dt>
- <dd><p>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 is annotated by repeating the annotation for the
- first line. This behavior is similar to <code>tcov</code>’s ‘<samp>-a</samp>’.
- </p>
- </dd>
- <dt><code>--demangle[=<var>style</var>]</code></dt>
- <dt><code>--no-demangle</code></dt>
- <dd><p>These options control whether C++ symbol names should be demangled when
- printing output. The default is to demangle symbols. The
- <code>--no-demangle</code> option may be used to turn off demangling. Different
- compilers have different mangling styles. The optional demangling style
- argument can be used to choose an appropriate demangling style for your
- compiler.
- </p></dd>
- </dl>
- <hr>
- <span id="Analysis-Options"></span><div class="header">
- <p>
- Next: <a href="#Miscellaneous-Options" accesskey="n" rel="next">Miscellaneous Options</a>, Previous: <a href="#Output-Options" accesskey="p" rel="prev">Output Options</a>, Up: <a href="#Invoking" accesskey="u" rel="up">Invoking</a> [<a href="#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
- </div>
- <span id="Analysis-Options-1"></span><h3 class="section">4.2 Analysis Options</h3>
- <dl compact="compact">
- <dt><code>-a</code></dt>
- <dt><code>--no-static</code></dt>
- <dd><p>The ‘<samp>-a</samp>’ option causes <code>gprof</code> to suppress the printing of
- statically declared (private) functions. (These are functions whose
- names are not listed as global, and which are not visible outside the
- file/function/block where they were defined.) Time spent in these
- functions, calls to/from them, etc., will all be attributed to the
- function that was loaded directly before it in the executable file.
- This option affects both the flat profile and the call graph.
- </p>
- </dd>
- <dt><code>-c</code></dt>
- <dt><code>--static-call-graph</code></dt>
- <dd><p>The ‘<samp>-c</samp>’ option causes the call graph of the program to be
- augmented by a heuristic which examines the text space of the object
- file and identifies function calls in the binary machine code.
- Since normal call graph records are only generated when functions are
- entered, this option identifies children that could have been called,
- but never were. Calls to functions that were not compiled with
- profiling enabled are also identified, but only if symbol table
- entries are present for them.
- Calls to dynamic library routines are typically <em>not</em> found
- by this option.
- Parents or children identified via this heuristic
- are indicated in the call graph with call counts of ‘<samp>0</samp>’.
- </p>
- </dd>
- <dt><code>-D</code></dt>
- <dt><code>--ignore-non-functions</code></dt>
- <dd><p>The ‘<samp>-D</samp>’ option causes <code>gprof</code> to ignore symbols which
- are not known to be functions. This option will give more accurate
- profile data on systems where it is supported (Solaris and HPUX for
- example).
- </p>
- </dd>
- <dt><code>-k <var>from</var>/<var>to</var></code></dt>
- <dd><p>The ‘<samp>-k</samp>’ option allows you to delete from the call graph any arcs from
- symbols matching symspec <var>from</var> to those matching symspec <var>to</var>.
- </p>
- </dd>
- <dt><code>-l</code></dt>
- <dt><code>--line</code></dt>
- <dd><p>The ‘<samp>-l</samp>’ option enables line-by-line profiling, which causes
- histogram hits to be charged to individual source code lines,
- instead of functions. This feature only works with programs compiled
- by older versions of the <code>gcc</code> compiler. Newer versions of
- <code>gcc</code> are designed to work with the <code>gcov</code> tool instead.
- </p>
- <p>If the program was compiled with basic-block counting enabled,
- this option will also identify how many times each line of
- code was executed.
- While line-by-line profiling can help isolate where in a large function
- a program is spending its time, it also significantly increases
- the running time of <code>gprof</code>, and magnifies statistical
- inaccuracies.
- See <a href="#Sampling-Error">Statistical Sampling Error</a>.
- </p>
- </dd>
- <dt><code>--inline-file-names</code></dt>
- <dd><p>This option causes <code>gprof</code> to print the source file after each
- symbol in both the flat profile and the call graph. The full path to the
- file is printed if used with the ‘<samp>-L</samp>’ option.
- </p>
- </dd>
- <dt><code>-m <var>num</var></code></dt>
- <dt><code>--min-count=<var>num</var></code></dt>
- <dd><p>This option affects execution count output only.
- Symbols that are executed less than <var>num</var> times are suppressed.
- </p>
- </dd>
- <dt><code>-n<var>symspec</var></code></dt>
- <dt><code>--time=<var>symspec</var></code></dt>
- <dd><p>The ‘<samp>-n</samp>’ option causes <code>gprof</code>, in its call graph analysis,
- to only propagate times for symbols matching <var>symspec</var>.
- </p>
- </dd>
- <dt><code>-N<var>symspec</var></code></dt>
- <dt><code>--no-time=<var>symspec</var></code></dt>
- <dd><p>The ‘<samp>-n</samp>’ option causes <code>gprof</code>, in its call graph analysis,
- not to propagate times for symbols matching <var>symspec</var>.
- </p>
- </dd>
- <dt><code>-S<var>filename</var></code></dt>
- <dt><code>--external-symbol-table=<var>filename</var></code></dt>
- <dd><p>The ‘<samp>-S</samp>’ option causes <code>gprof</code> to read an external symbol table
- file, such as <samp>/proc/kallsyms</samp>, rather than read the symbol table
- from the given object file (the default is <code>a.out</code>). This is useful
- for profiling kernel modules.
- </p>
- </dd>
- <dt><code>-z</code></dt>
- <dt><code>--display-unused-functions</code></dt>
- <dd><p>If you give the ‘<samp>-z</samp>’ option, <code>gprof</code> will mention all
- functions in the flat profile, even those that were never called, and
- that had no time spent in them. This is useful in conjunction with the
- ‘<samp>-c</samp>’ option for discovering which routines were never called.
- </p>
- </dd>
- </dl>
- <hr>
- <span id="Miscellaneous-Options"></span><div class="header">
- <p>
- Next: <a href="#Deprecated-Options" accesskey="n" rel="next">Deprecated Options</a>, Previous: <a href="#Analysis-Options" accesskey="p" rel="prev">Analysis Options</a>, Up: <a href="#Invoking" accesskey="u" rel="up">Invoking</a> [<a href="#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
- </div>
- <span id="Miscellaneous-Options-1"></span><h3 class="section">4.3 Miscellaneous Options</h3>
- <dl compact="compact">
- <dt><code>-d[<var>num</var>]</code></dt>
- <dt><code>--debug[=<var>num</var>]</code></dt>
- <dd><p>The ‘<samp>-d <var>num</var></samp>’ option specifies debugging options.
- If <var>num</var> is not specified, enable all debugging.
- See <a href="#Debugging">Debugging <code>gprof</code></a>.
- </p>
- </dd>
- <dt><code>-h</code></dt>
- <dt><code>--help</code></dt>
- <dd><p>The ‘<samp>-h</samp>’ option prints command line usage.
- </p>
- </dd>
- <dt><code>-O<var>name</var></code></dt>
- <dt><code>--file-format=<var>name</var></code></dt>
- <dd><p>Selects the format of the profile data files. Recognized formats are
- ‘<samp>auto</samp>’ (the default), ‘<samp>bsd</samp>’, ‘<samp>4.4bsd</samp>’, ‘<samp>magic</samp>’, and
- ‘<samp>prof</samp>’ (not yet supported).
- </p>
- </dd>
- <dt><code>-s</code></dt>
- <dt><code>--sum</code></dt>
- <dd><p>The ‘<samp>-s</samp>’ option causes <code>gprof</code> to summarize the information
- in the profile data files it read in, and write out a profile data
- file called <samp>gmon.sum</samp>, which contains all the information from
- the profile data files that <code>gprof</code> read in. The file <samp>gmon.sum</samp>
- may be one of the specified input files; the effect of this is to
- merge the data in the other input files into <samp>gmon.sum</samp>.
- </p>
- <p>Eventually you can run <code>gprof</code> again without ‘<samp>-s</samp>’ to analyze the
- cumulative data in the file <samp>gmon.sum</samp>.
- </p>
- </dd>
- <dt><code>-v</code></dt>
- <dt><code>--version</code></dt>
- <dd><p>The ‘<samp>-v</samp>’ flag causes <code>gprof</code> to print the current version
- number, and then exit.
- </p>
- </dd>
- </dl>
- <hr>
- <span id="Deprecated-Options"></span><div class="header">
- <p>
- Next: <a href="#Symspecs" accesskey="n" rel="next">Symspecs</a>, Previous: <a href="#Miscellaneous-Options" accesskey="p" rel="prev">Miscellaneous Options</a>, Up: <a href="#Invoking" accesskey="u" rel="up">Invoking</a> [<a href="#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
- </div>
- <span id="Deprecated-Options-1"></span><h3 class="section">4.4 Deprecated Options</h3>
- <p>These options have been replaced with newer versions that use symspecs.
- </p>
- <dl compact="compact">
- <dt><code>-e <var>function_name</var></code></dt>
- <dd><p>The ‘<samp>-e <var>function</var></samp>’ option tells <code>gprof</code> to not print
- information about the function <var>function_name</var> (and its
- children…) in the call graph. The function will still be listed
- as a child of any functions that call it, but its index number will be
- shown as ‘<samp>[not printed]</samp>’. More than one ‘<samp>-e</samp>’ option may be
- given; only one <var>function_name</var> may be indicated with each ‘<samp>-e</samp>’
- option.
- </p>
- </dd>
- <dt><code>-E <var>function_name</var></code></dt>
- <dd><p>The <code>-E <var>function</var></code> option works like the <code>-e</code> option, but
- time spent in the function (and children who were not called from
- anywhere else), will not be used to compute the percentages-of-time for
- the call graph. More than one ‘<samp>-E</samp>’ option may be given; only one
- <var>function_name</var> may be indicated with each ‘<samp>-E</samp>’ option.
- </p>
- </dd>
- <dt><code>-f <var>function_name</var></code></dt>
- <dd><p>The ‘<samp>-f <var>function</var></samp>’ option causes <code>gprof</code> to limit the
- call graph to the function <var>function_name</var> and its children (and
- their children…). More than one ‘<samp>-f</samp>’ option may be given;
- only one <var>function_name</var> may be indicated with each ‘<samp>-f</samp>’
- option.
- </p>
- </dd>
- <dt><code>-F <var>function_name</var></code></dt>
- <dd><p>The ‘<samp>-F <var>function</var></samp>’ option works like the <code>-f</code> option, but
- only time spent in the function and its children (and their
- children…) will be used to determine total-time and
- percentages-of-time for the call graph. More than one ‘<samp>-F</samp>’ option
- may be given; only one <var>function_name</var> may be indicated with each
- ‘<samp>-F</samp>’ option. The ‘<samp>-F</samp>’ option overrides the ‘<samp>-E</samp>’ option.
- </p>
- </dd>
- </dl>
- <p>Note that only one function can be specified with each <code>-e</code>,
- <code>-E</code>, <code>-f</code> or <code>-F</code> option. To specify more than one
- function, use multiple options. For example, this command:
- </p>
- <div class="example">
- <pre class="example">gprof -e boring -f foo -f bar myprogram > gprof.output
- </pre></div>
- <p>lists in the call graph all functions that were reached from either
- <code>foo</code> or <code>bar</code> and were not reachable from <code>boring</code>.
- </p>
- <hr>
- <span id="Symspecs"></span><div class="header">
- <p>
- Previous: <a href="#Deprecated-Options" accesskey="p" rel="prev">Deprecated Options</a>, Up: <a href="#Invoking" accesskey="u" rel="up">Invoking</a> [<a href="#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
- </div>
- <span id="Symspecs-1"></span><h3 class="section">4.5 Symspecs</h3>
- <p>Many of the output options allow functions to be included or excluded
- using <em>symspecs</em> (symbol specifications), which observe the
- following syntax:
- </p>
- <div class="example">
- <pre class="example"> filename_containing_a_dot
- | funcname_not_containing_a_dot
- | linenumber
- | ( [ any_filename ] `:' ( any_funcname | linenumber ) )
- </pre></div>
- <p>Here are some sample symspecs:
- </p>
- <dl compact="compact">
- <dt>‘<samp>main.c</samp>’</dt>
- <dd><p>Selects everything in file <samp>main.c</samp>—the
- dot in the string tells <code>gprof</code> to interpret
- the string as a filename, rather than as
- a function name. To select a file whose
- name does not contain a dot, a trailing colon
- should be specified. For example, ‘<samp>odd:</samp>’ is
- interpreted as the file named <samp>odd</samp>.
- </p>
- </dd>
- <dt>‘<samp>main</samp>’</dt>
- <dd><p>Selects all functions named ‘<samp>main</samp>’.
- </p>
- <p>Note that there may be multiple instances of the same function name
- because some of the definitions may be local (i.e., static). Unless a
- function name is unique in a program, you must use the colon notation
- explained below to specify a function from a specific source file.
- </p>
- <p>Sometimes, function names contain dots. In such cases, it is necessary
- to add a leading colon to the name. For example, ‘<samp>:.mul</samp>’ selects
- function ‘<samp>.mul</samp>’.
- </p>
- <p>In some object file formats, symbols have a leading underscore.
- <code>gprof</code> will normally not print these underscores. When you name a
- symbol in a symspec, you should type it exactly as <code>gprof</code> prints
- it in its output. For example, if the compiler produces a symbol
- ‘<samp>_main</samp>’ from your <code>main</code> function, <code>gprof</code> still prints
- it as ‘<samp>main</samp>’ in its output, so you should use ‘<samp>main</samp>’ in
- symspecs.
- </p>
- </dd>
- <dt>‘<samp>main.c:main</samp>’</dt>
- <dd><p>Selects function ‘<samp>main</samp>’ in file <samp>main.c</samp>.
- </p>
- </dd>
- <dt>‘<samp>main.c:134</samp>’</dt>
- <dd><p>Selects line 134 in file <samp>main.c</samp>.
- </p></dd>
- </dl>
- <hr>
- <span id="Output"></span><div class="header">
- <p>
- Next: <a href="#Inaccuracy" accesskey="n" rel="next">Inaccuracy</a>, Previous: <a href="#Invoking" accesskey="p" rel="prev">Invoking</a>, Up: <a href="#Top" accesskey="u" rel="up">Top</a> [<a href="#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
- </div>
- <span id="Interpreting-gprof_0027s-Output"></span><h2 class="chapter">5 Interpreting <code>gprof</code>’s Output</h2>
- <p><code>gprof</code> can produce several different output styles, the
- most important of which are described below. The simplest output
- styles (file information, execution count, and function and file ordering)
- are not described here, but are documented with the respective options
- that trigger them.
- See <a href="#Output-Options">Output Options</a>.
- </p>
- <table class="menu" border="0" cellspacing="0">
- <tr><td align="left" valign="top">• <a href="#Flat-Profile" accesskey="1">Flat Profile</a></td><td> </td><td align="left" valign="top">The flat profile shows how much time was spent
- executing directly in each function.
- </td></tr>
- <tr><td align="left" valign="top">• <a href="#Call-Graph" accesskey="2">Call Graph</a></td><td> </td><td align="left" valign="top">The call graph shows which functions called which
- others, and how much time each function used
- when its subroutine calls are included.
- </td></tr>
- <tr><td align="left" valign="top">• <a href="#Line_002dby_002dline" accesskey="3">Line-by-line</a></td><td> </td><td align="left" valign="top"><code>gprof</code> can analyze individual source code lines
- </td></tr>
- <tr><td align="left" valign="top">• <a href="#Annotated-Source" accesskey="4">Annotated Source</a></td><td> </td><td align="left" valign="top">The annotated source listing displays source code
- labeled with execution counts
- </td></tr>
- </table>
- <hr>
- <span id="Flat-Profile"></span><div class="header">
- <p>
- Next: <a href="#Call-Graph" accesskey="n" rel="next">Call Graph</a>, Up: <a href="#Output" accesskey="u" rel="up">Output</a> [<a href="#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
- </div>
- <span id="The-Flat-Profile"></span><h3 class="section">5.1 The Flat Profile</h3>
- <span id="index-flat-profile"></span>
- <p>The <em>flat profile</em> shows the total amount of time your program
- spent executing each function. Unless the ‘<samp>-z</samp>’ option is given,
- functions with no apparent time spent in them, and no apparent calls
- to them, are not 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.
- </p>
- <p>This is part of a flat profile for a small program:
- </p>
- <div class="example">
- <pre class="example">Flat profile:
- Each sample counts as 0.01 seconds.
- % cumulative self self total
- time seconds seconds calls ms/call ms/call name
- 33.34 0.02 0.02 7208 0.00 0.00 open
- 16.67 0.03 0.01 244 0.04 0.12 offtime
- 16.67 0.04 0.01 8 1.25 1.25 memccpy
- 16.67 0.05 0.01 7 1.43 1.43 write
- 16.67 0.06 0.01 mcount
- 0.00 0.06 0.00 236 0.00 0.00 tzset
- 0.00 0.06 0.00 192 0.00 0.00 tolower
- 0.00 0.06 0.00 47 0.00 0.00 strlen
- 0.00 0.06 0.00 45 0.00 0.00 strchr
- 0.00 0.06 0.00 1 0.00 50.00 main
- 0.00 0.06 0.00 1 0.00 0.00 memcpy
- 0.00 0.06 0.00 1 0.00 10.11 print
- 0.00 0.06 0.00 1 0.00 0.00 profil
- 0.00 0.06 0.00 1 0.00 50.00 report
- …
- </pre></div>
- <p>The functions are sorted first by decreasing run-time spent in them,
- then by decreasing number of calls, then alphabetically by name. The
- functions ‘<samp>mcount</samp>’ and ‘<samp>profil</samp>’ are part of the profiling
- apparatus and appear in every flat profile; their time gives a measure of
- the amount of overhead due to profiling.
- </p>
- <p>Just before the column headers, a statement appears indicating
- how much time each sample counted as.
- This <em>sampling period</em> estimates the margin of error in each of the time
- figures. A time figure that is not much larger than this is not
- reliable. In this example, each sample counted as 0.01 seconds,
- suggesting a 100 Hz sampling rate.
- The program’s total execution time was 0.06
- seconds, as indicated by the ‘<samp>cumulative seconds</samp>’ field. Since
- each sample counted for 0.01 seconds, this means only six samples
- were taken during the run. Two of the samples occurred while the
- program was in the ‘<samp>open</samp>’ function, as indicated by the
- ‘<samp>self seconds</samp>’ field. Each of the other four samples
- occurred one each in ‘<samp>offtime</samp>’, ‘<samp>memccpy</samp>’, ‘<samp>write</samp>’,
- and ‘<samp>mcount</samp>’.
- Since only six samples were taken, none of these values can
- be regarded as particularly reliable.
- In another run,
- the ‘<samp>self seconds</samp>’ field for
- ‘<samp>mcount</samp>’ might well be ‘<samp>0.00</samp>’ or ‘<samp>0.02</samp>’.
- See <a href="#Sampling-Error">Statistical Sampling Error</a>,
- for a complete discussion.
- </p>
- <p>The remaining functions in the listing (those whose
- ‘<samp>self seconds</samp>’ field is ‘<samp>0.00</samp>’) didn’t appear
- in the histogram samples at all. However, the call graph
- indicated that they were called, so therefore they are listed,
- sorted in decreasing order by the ‘<samp>calls</samp>’ field.
- Clearly some time was spent executing these functions,
- but the paucity of histogram samples prevents any
- determination of how much time each took.
- </p>
- <p>Here is what the fields in each line mean:
- </p>
- <dl compact="compact">
- <dt><code>% time</code></dt>
- <dd><p>This is the percentage of the total execution time your program spent
- in this function. These should all add up to 100%.
- </p>
- </dd>
- <dt><code>cumulative seconds</code></dt>
- <dd><p>This is the cumulative total number of seconds the computer spent
- executing this functions, plus the time spent in all the functions
- above this one in this table.
- </p>
- </dd>
- <dt><code>self seconds</code></dt>
- <dd><p>This is the number of seconds accounted for by this function alone.
- The flat profile listing is sorted first by this number.
- </p>
- </dd>
- <dt><code>calls</code></dt>
- <dd><p>This is the total number of times the function was called. If the
- function was never called, or the number of times it was called cannot
- be determined (probably because the function was not compiled with
- profiling enabled), the <em>calls</em> field is blank.
- </p>
- </dd>
- <dt><code>self ms/call</code></dt>
- <dd><p>This represents the average number of milliseconds spent in this
- function per call, if this function is profiled. Otherwise, this field
- is blank for this function.
- </p>
- </dd>
- <dt><code>total ms/call</code></dt>
- <dd><p>This represents the average number of milliseconds spent in this
- function and its descendants per call, if this function is profiled.
- Otherwise, this field is blank for this function.
- This is the only field in the flat profile that uses call graph analysis.
- </p>
- </dd>
- <dt><code>name</code></dt>
- <dd><p>This is the name of the function. The flat profile is sorted by this
- field alphabetically after the <em>self seconds</em> and <em>calls</em>
- fields are sorted.
- </p></dd>
- </dl>
- <hr>
- <span id="Call-Graph"></span><div class="header">
- <p>
- Next: <a href="#Line_002dby_002dline" accesskey="n" rel="next">Line-by-line</a>, Previous: <a href="#Flat-Profile" accesskey="p" rel="prev">Flat Profile</a>, Up: <a href="#Output" accesskey="u" rel="up">Output</a> [<a href="#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
- </div>
- <span id="The-Call-Graph"></span><h3 class="section">5.2 The Call Graph</h3>
- <span id="index-call-graph"></span>
- <p>The <em>call graph</em> shows how much time was spent in each function
- and its children. From this information, you can find functions that,
- while they themselves may not have used much time, called other
- functions that did use unusual amounts of time.
- </p>
- <p>Here is a sample call from a small program. This call came from the
- same <code>gprof</code> run as the flat profile example in the previous
- section.
- </p>
- <div class="example">
- <pre class="example">granularity: each sample hit covers 2 byte(s) for 20.00% of 0.05 seconds
- index % 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]
- -----------------------------------------------
- </pre></div>
- <p>The lines full of dashes divide this table into <em>entries</em>, one for each
- function. Each entry has one or more lines.
- </p>
- <p>In each entry, the primary line is the one that starts with an index number
- in square brackets. The end of this line says which function the entry is
- for. The preceding lines in the entry describe the callers of this
- function and the following lines describe its subroutines (also called
- <em>children</em> when we speak of the call graph).
- </p>
- <p>The entries are sorted by time spent in the function and its subroutines.
- </p>
- <p>The internal profiling function <code>mcount</code> (see <a href="#Flat-Profile">The
- Flat Profile</a>) is never mentioned in the call graph.
- </p>
- <table class="menu" border="0" cellspacing="0">
- <tr><td align="left" valign="top">• <a href="#Primary" accesskey="1">Primary</a></td><td> </td><td align="left" valign="top">Details of the primary line’s contents.
- </td></tr>
- <tr><td align="left" valign="top">• <a href="#Callers" accesskey="2">Callers</a></td><td> </td><td align="left" valign="top">Details of caller-lines’ contents.
- </td></tr>
- <tr><td align="left" valign="top">• <a href="#Subroutines" accesskey="3">Subroutines</a></td><td> </td><td align="left" valign="top">Details of subroutine-lines’ contents.
- </td></tr>
- <tr><td align="left" valign="top">• <a href="#Cycles" accesskey="4">Cycles</a></td><td> </td><td align="left" valign="top">When there are cycles of recursion,
- such as <code>a</code> calls <code>b</code> calls <code>a</code>…
- </td></tr>
- </table>
- <hr>
- <span id="Primary"></span><div class="header">
- <p>
- Next: <a href="#Callers" accesskey="n" rel="next">Callers</a>, Up: <a href="#Call-Graph" accesskey="u" rel="up">Call Graph</a> [<a href="#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
- </div>
- <span id="The-Primary-Line"></span><h4 class="subsection">5.2.1 The Primary Line</h4>
- <p>The <em>primary line</em> in a call graph entry is the line that
- describes the function which the entry is about and gives the overall
- statistics for this function.
- </p>
- <p>For reference, we repeat the primary line from the entry for function
- <code>report</code> in our main example, together with the heading line that
- shows the names of the fields:
- </p>
- <div class="example">
- <pre class="example">index % time self children called name
- …
- [3] 100.0 0.00 0.05 1 report [3]
- </pre></div>
- <p>Here is what the fields in the primary line mean:
- </p>
- <dl compact="compact">
- <dt><code>index</code></dt>
- <dd><p>Entries are numbered with consecutive integers. Each function
- therefore has an index number, which appears at the beginning of its
- primary line.
- </p>
- <p>Each cross-reference to a function, as a caller or subroutine of
- another, gives its index number as well as its name. The index number
- guides you if you wish to look for the entry for that function.
- </p>
- </dd>
- <dt><code>% time</code></dt>
- <dd><p>This is the percentage of the total time that was spent in this
- function, including time spent in subroutines called from this
- function.
- </p>
- <p>The time spent in this function is counted again for the callers of
- this function. Therefore, adding up these percentages is meaningless.
- </p>
- </dd>
- <dt><code>self</code></dt>
- <dd><p>This is the total amount of time spent in this function. This
- should be identical to the number printed in the <code>seconds</code> field
- for this function in the flat profile.
- </p>
- </dd>
- <dt><code>children</code></dt>
- <dd><p>This is the total amount of time spent in the subroutine calls made by
- this function. This should be equal to the sum of all the <code>self</code>
- and <code>children</code> entries of the children listed directly below this
- function.
- </p>
- </dd>
- <dt><code>called</code></dt>
- <dd><p>This is the number of times the function was called.
- </p>
- <p>If the function called itself recursively, there are two numbers,
- separated by a ‘<samp>+</samp>’. The first number counts non-recursive calls,
- and the second counts recursive calls.
- </p>
- <p>In the example above, the function <code>report</code> was called once from
- <code>main</code>.
- </p>
- </dd>
- <dt><code>name</code></dt>
- <dd><p>This is the name of the current function. The index number is
- repeated after it.
- </p>
- <p>If the function is part of a cycle of recursion, the cycle number is
- printed between the function’s name and the index number
- (see <a href="#Cycles">How Mutually Recursive Functions Are Described</a>).
- For example, if function <code>gnurr</code> is part of
- cycle number one, and has index number twelve, its primary line would
- be end like this:
- </p>
- <div class="example">
- <pre class="example">gnurr <cycle 1> [12]
- </pre></div>
- </dd>
- </dl>
- <hr>
- <span id="Callers"></span><div class="header">
- <p>
- Next: <a href="#Subroutines" accesskey="n" rel="next">Subroutines</a>, Previous: <a href="#Primary" accesskey="p" rel="prev">Primary</a>, Up: <a href="#Call-Graph" accesskey="u" rel="up">Call Graph</a> [<a href="#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
- </div>
- <span id="Lines-for-a-Function_0027s-Callers"></span><h4 class="subsection">5.2.2 Lines for a Function’s Callers</h4>
- <p>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, but
- their meanings are different because of the difference in context.
- </p>
- <p>For reference, we repeat two lines from the entry for the function
- <code>report</code>, the primary line and one caller-line preceding it, together
- with the heading line that shows the names of the fields:
- </p>
- <div class="example">
- <pre class="example">index % time self children called name
- …
- 0.00 0.05 1/1 main [2]
- [3] 100.0 0.00 0.05 1 report [3]
- </pre></div>
- <p>Here are the meanings of the fields in the caller-line for <code>report</code>
- called from <code>main</code>:
- </p>
- <dl compact="compact">
- <dt><code>self</code></dt>
- <dd><p>An estimate of the amount of time spent in <code>report</code> itself when it was
- called from <code>main</code>.
- </p>
- </dd>
- <dt><code>children</code></dt>
- <dd><p>An estimate of the amount of time spent in subroutines of <code>report</code>
- when <code>report</code> was called from <code>main</code>.
- </p>
- <p>The sum of the <code>self</code> and <code>children</code> fields is an estimate
- of the amount of time spent within calls to <code>report</code> from <code>main</code>.
- </p>
- </dd>
- <dt><code>called</code></dt>
- <dd><p>Two numbers: the number of times <code>report</code> was called from <code>main</code>,
- followed by the total number of non-recursive calls to <code>report</code> from
- all its callers.
- </p>
- </dd>
- <dt><code>name and index number</code></dt>
- <dd><p>The name of the caller of <code>report</code> to which this line applies,
- followed by the caller’s index number.
- </p>
- <p>Not all functions have entries in the call graph; some
- options to <code>gprof</code> request the omission of certain functions.
- When a caller has no entry of its own, it still has caller-lines
- in the entries of the functions it calls.
- </p>
- <p>If the caller is part of a recursion cycle, the cycle number is
- printed between the name and the index number.
- </p></dd>
- </dl>
- <p>If the identity of the callers of a function cannot be determined, a
- dummy caller-line is printed which has ‘<samp><spontaneous></samp>’ as the
- “caller’s name” and all other fields blank. This can happen for
- signal handlers.
- </p>
- <hr>
- <span id="Subroutines"></span><div class="header">
- <p>
- Next: <a href="#Cycles" accesskey="n" rel="next">Cycles</a>, Previous: <a href="#Callers" accesskey="p" rel="prev">Callers</a>, Up: <a href="#Call-Graph" accesskey="u" rel="up">Call Graph</a> [<a href="#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
- </div>
- <span id="Lines-for-a-Function_0027s-Subroutines"></span><h4 class="subsection">5.2.3 Lines for a Function’s Subroutines</h4>
- <p>A function’s entry has a line for each of its subroutines—in other
- words, a line for each other function that it called. These lines’
- fields correspond to the fields of the primary line, but their meanings
- are different because of the difference in context.
- </p>
- <p>For reference, we repeat two lines from the entry for the function
- <code>main</code>, the primary line and a line for a subroutine, together
- with the heading line that shows the names of the fields:
- </p>
- <div class="example">
- <pre class="example">index % time self children called name
- …
- [2] 100.0 0.00 0.05 1 main [2]
- 0.00 0.05 1/1 report [3]
- </pre></div>
- <p>Here are the meanings of the fields in the subroutine-line for <code>main</code>
- calling <code>report</code>:
- </p>
- <dl compact="compact">
- <dt><code>self</code></dt>
- <dd><p>An estimate of the amount of time spent directly within <code>report</code>
- when <code>report</code> was called from <code>main</code>.
- </p>
- </dd>
- <dt><code>children</code></dt>
- <dd><p>An estimate of the amount of time spent in subroutines of <code>report</code>
- when <code>report</code> was called from <code>main</code>.
- </p>
- <p>The sum of the <code>self</code> and <code>children</code> fields is an estimate
- of the total time spent in calls to <code>report</code> from <code>main</code>.
- </p>
- </dd>
- <dt><code>called</code></dt>
- <dd><p>Two numbers, the number of calls to <code>report</code> from <code>main</code>
- followed by the total number of non-recursive calls to <code>report</code>.
- This ratio is used to determine how much of <code>report</code>’s <code>self</code>
- and <code>children</code> time gets credited to <code>main</code>.
- See <a href="#Assumptions">Estimating <code>children</code> Times</a>.
- </p>
- </dd>
- <dt><code>name</code></dt>
- <dd><p>The name of the subroutine of <code>main</code> to which this line applies,
- followed by the subroutine’s index number.
- </p>
- <p>If the caller is part of a recursion cycle, the cycle number is
- printed between the name and the index number.
- </p></dd>
- </dl>
- <hr>
- <span id="Cycles"></span><div class="header">
- <p>
- Previous: <a href="#Subroutines" accesskey="p" rel="prev">Subroutines</a>, Up: <a href="#Call-Graph" accesskey="u" rel="up">Call Graph</a> [<a href="#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
- </div>
- <span id="How-Mutually-Recursive-Functions-Are-Described"></span><h4 class="subsection">5.2.4 How Mutually Recursive Functions Are Described</h4>
- <span id="index-cycle"></span>
- <span id="index-recursion-cycle"></span>
- <p>The graph may be complicated by the presence of <em>cycles of
- recursion</em> in the call graph. A cycle exists if a function calls
- another function that (directly or indirectly) calls (or appears to
- call) the original function. For example: if <code>a</code> calls <code>b</code>,
- and <code>b</code> calls <code>a</code>, then <code>a</code> and <code>b</code> form a cycle.
- </p>
- <p>Whenever there are call paths both ways between a pair of functions, they
- belong to the same cycle. If <code>a</code> and <code>b</code> call each other and
- <code>b</code> and <code>c</code> call each other, all three make one cycle. Note that
- even if <code>b</code> only calls <code>a</code> if it was not called from <code>a</code>,
- <code>gprof</code> cannot determine this, so <code>a</code> and <code>b</code> are still
- considered a cycle.
- </p>
- <p>The cycles are numbered with consecutive integers. When a function
- belongs to a cycle, each time the function name appears in the call graph
- it is followed by ‘<samp><cycle <var>number</var>></samp>’.
- </p>
- <p>The reason cycles matter is that they make the time values in the call
- graph paradoxical. The “time spent in children” of <code>a</code> should
- include the time spent in its subroutine <code>b</code> and in <code>b</code>’s
- subroutines—but one of <code>b</code>’s subroutines is <code>a</code>! How much of
- <code>a</code>’s time should be included in the children of <code>a</code>, when
- <code>a</code> is indirectly recursive?
- </p>
- <p>The way <code>gprof</code> resolves this paradox is by creating a single entry
- for the cycle as a whole. The primary line of this entry describes the
- total 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, that called functions in
- the cycle.
- </p>
- <p>Here is an example portion of a call graph which shows a cycle containing
- functions <code>a</code> and <code>b</code>. The cycle was entered by a call to
- <code>a</code> from <code>main</code>; both <code>a</code> and <code>b</code> called <code>c</code>.
- </p>
- <div class="example">
- <pre class="example">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]
- ----------------------------------------
- </pre></div>
- <p>(The entire call graph for this program contains in addition an entry for
- <code>main</code>, which calls <code>a</code>, and an entry for <code>c</code>, with callers
- <code>a</code> and <code>b</code>.)
- </p>
- <div class="example">
- <pre class="example">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]
- ----------------------------------------
- </pre></div>
- <p>The <code>self</code> field of the cycle’s primary line is the total time
- spent in all the functions of the cycle. It equals the sum of the
- <code>self</code> fields for the individual functions in the cycle, found
- in the entry in the subroutine lines for these functions.
- </p>
- <p>The <code>children</code> fields of the cycle’s primary line and subroutine lines
- count only subroutines outside the cycle. Even though <code>a</code> calls
- <code>b</code>, the time spent in those calls to <code>b</code> is not counted in
- <code>a</code>’s <code>children</code> time. Thus, we do not encounter the problem of
- what to do when the time in those calls to <code>b</code> includes indirect
- recursive calls back to <code>a</code>.
- </p>
- <p>The <code>children</code> field of a caller-line in the cycle’s entry estimates
- the amount of time spent <em>in the whole cycle</em>, and its other
- subroutines, on the times when that caller called a function in the cycle.
- </p>
- <p>The <code>called</code> field in the primary line for the cycle has two numbers:
- first, the number of times functions in the cycle were called by functions
- outside the cycle; second, the number of times they were called by
- functions in the cycle (including times when a function in the cycle calls
- itself). This is a generalization of the usual split into non-recursive and
- recursive calls.
- </p>
- <p>The <code>called</code> field of a subroutine-line for a cycle member in the
- cycle’s entry says how many time that function was called from functions in
- the cycle. The total of all these is the second number in the primary line’s
- <code>called</code> field.
- </p>
- <p>In the individual entry for a function in a cycle, the other functions in
- the same cycle can appear as subroutines and as callers. These lines show
- how many times each function in the cycle called or was called from each other
- function in the cycle. The <code>self</code> and <code>children</code> fields in these
- lines are blank because of the difficulty of defining meanings for them
- when recursion is going on.
- </p>
- <hr>
- <span id="Line_002dby_002dline"></span><div class="header">
- <p>
- Next: <a href="#Annotated-Source" accesskey="n" rel="next">Annotated Source</a>, Previous: <a href="#Call-Graph" accesskey="p" rel="prev">Call Graph</a>, Up: <a href="#Output" accesskey="u" rel="up">Output</a> [<a href="#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
- </div>
- <span id="Line_002dby_002dline-Profiling"></span><h3 class="section">5.3 Line-by-line Profiling</h3>
- <p><code>gprof</code>’s ‘<samp>-l</samp>’ option causes the program to perform
- <em>line-by-line</em> profiling. In this mode, histogram
- samples are assigned not to functions, but to individual
- lines of source code. This only works with programs compiled with
- older versions of the <code>gcc</code> compiler. Newer versions of <code>gcc</code>
- use a different program - <code>gcov</code> - to display line-by-line
- profiling information.
- </p>
- <p>With the older versions of <code>gcc</code> the program usually has to be
- compiled with a ‘<samp>-g</samp>’ option, in addition to ‘<samp>-pg</samp>’, in order
- to generate debugging symbols for tracking source code lines.
- Note, in much older versions of <code>gcc</code> the program had to be
- compiled with the ‘<samp>-a</samp>’ command-line option as well.
- </p>
- <p>The flat profile is the most useful output table
- in line-by-line mode.
- The call graph isn’t as useful as normal, since
- the current version of <code>gprof</code> does not propagate
- call graph arcs from source code lines to the enclosing function.
- The call graph does, however, show each line of code
- that called each function, along with a count.
- </p>
- <p>Here is a section of <code>gprof</code>’s output, without line-by-line profiling.
- Note that <code>ct_init</code> accounted for four histogram hits, and
- 13327 calls to <code>init_block</code>.
- </p>
- <div class="example">
- <pre class="example">Flat profile:
- Each sample counts as 0.01 seconds.
- % cumulative self self total
- time seconds seconds calls us/call us/call name
- 30.77 0.13 0.04 6335 6.31 6.31 ct_init
- Call graph (explanation follows)
- granularity: each sample hit covers 4 byte(s) for 7.69% of 0.13 seconds
- index % time self children called name
- 0.00 0.00 1/13496 name_too_long
- 0.00 0.00 40/13496 deflate
- 0.00 0.00 128/13496 deflate_fast
- 0.00 0.00 13327/13496 ct_init
- [7] 0.0 0.00 0.00 13496 init_block
- </pre></div>
- <p>Now let’s look at some of <code>gprof</code>’s output from the same program run,
- this time with line-by-line profiling enabled. Note that <code>ct_init</code>’s
- four 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 call graph,
- note how
- <code>ct_init</code>’s 13327 calls to <code>init_block</code> are broken down
- into one call from line 396, 3071 calls from line 384, 3730 calls
- from line 385, and 6525 calls from 387.
- </p>
- <div class="example">
- <pre class="example">Flat profile:
- Each sample counts as 0.01 seconds.
- % cumulative self
- time seconds seconds calls name
- 7.69 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 name
- 0.00 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)
- </pre></div>
- <hr>
- <span id="Annotated-Source"></span><div class="header">
- <p>
- Previous: <a href="#Line_002dby_002dline" accesskey="p" rel="prev">Line-by-line</a>, Up: <a href="#Output" accesskey="u" rel="up">Output</a> [<a href="#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
- </div>
- <span id="The-Annotated-Source-Listing"></span><h3 class="section">5.4 The Annotated Source Listing</h3>
- <p><code>gprof</code>’s ‘<samp>-A</samp>’ option triggers an annotated source listing,
- which lists the program’s source code, each function labeled with the
- number of times it was called. You may also need to specify the
- ‘<samp>-I</samp>’ option, if <code>gprof</code> can’t find the source code files.
- </p>
- <p>With older versions of <code>gcc</code> compiling with ‘<samp>gcc … -g
- -pg -a</samp>’ augments your program with basic-block counting code, in
- addition to function counting code. This enables <code>gprof</code> to
- determine how many times each line of code was executed. With newer
- versions of <code>gcc</code> support for displaying basic-block counts is
- provided by the <code>gcov</code> program.
- </p>
- <p>For example, consider the following function, taken from gzip,
- with line numbers added:
- </p>
- <div class="example">
- <pre class="example"> 1 ulg updcrc(s, n)
- 2 uch *s;
- 3 unsigned n;
- 4 {
- 5 register ulg c;
- 6
- 7 static ulg crc = (ulg)0xffffffffL;
- 8
- 9 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 }
- </pre></div>
- <p><code>updcrc</code> has at least five basic-blocks.
- One is the function itself. The
- <code>if</code> statement on line 9 generates two more basic-blocks, one
- for each branch of the <code>if</code>. A fourth basic-block results from
- the <code>if</code> on line 13, and the contents of the <code>do</code> loop form
- the fifth basic-block. The compiler may also generate additional
- basic-blocks to handle various special cases.
- </p>
- <p>A program augmented for basic-block counting can be analyzed with
- ‘<samp>gprof -l -A</samp>’.
- The ‘<samp>-x</samp>’ option is also helpful,
- to ensure that each line of code is labeled at least once.
- Here is <code>updcrc</code>’s
- annotated source listing for a sample <code>gzip</code> run:
- </p>
- <div class="example">
- <pre class="example"> 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 ->}
- </pre></div>
- <p>In this example, the function was called twice, passing once through
- each branch of the <code>if</code> statement. The body of the <code>do</code>
- loop was executed a total of 26312 times. Note how the <code>while</code>
- statement is annotated. It began execution 26312 times, once for
- each iteration through the loop. One of those times (the last time)
- it exited, while it branched back to the beginning of the loop 26311 times.
- </p>
- <hr>
- <span id="Inaccuracy"></span><div class="header">
- <p>
- Next: <a href="#How-do-I_003f" accesskey="n" rel="next">How do I?</a>, Previous: <a href="#Output" accesskey="p" rel="prev">Output</a>, Up: <a href="#Top" accesskey="u" rel="up">Top</a> [<a href="#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
- </div>
- <span id="Inaccuracy-of-gprof-Output"></span><h2 class="chapter">6 Inaccuracy of <code>gprof</code> Output</h2>
- <table class="menu" border="0" cellspacing="0">
- <tr><td align="left" valign="top">• <a href="#Sampling-Error" accesskey="1">Sampling Error</a></td><td> </td><td align="left" valign="top">Statistical margins of error
- </td></tr>
- <tr><td align="left" valign="top">• <a href="#Assumptions" accesskey="2">Assumptions</a></td><td> </td><td align="left" valign="top">Estimating children times
- </td></tr>
- </table>
- <hr>
- <span id="Sampling-Error"></span><div class="header">
- <p>
- Next: <a href="#Assumptions" accesskey="n" rel="next">Assumptions</a>, Up: <a href="#Inaccuracy" accesskey="u" rel="up">Inaccuracy</a> [<a href="#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
- </div>
- <span id="Statistical-Sampling-Error"></span><h3 class="section">6.1 Statistical Sampling Error</h3>
- <p>The run-time figures that <code>gprof</code> gives you are based on a sampling
- process, so they are subject to statistical inaccuracy. If a function runs
- only a small amount of time, so that on the average the sampling process
- ought to catch that function in the act only once, there is a pretty good
- chance it will actually find that function zero times, or twice.
- </p>
- <p>By contrast, the number-of-calls and basic-block figures are derived
- by counting, not sampling. They are completely accurate and will not
- vary from run to run if your program is deterministic and single
- threaded. In multi-threaded applications, or single threaded
- applications that link with multi-threaded libraries, the counts are
- only deterministic if the counting function is thread-safe. (Note:
- beware that the mcount counting function in glibc is <em>not</em>
- thread-safe). See <a href="#Implementation">Implementation of Profiling</a>.
- </p>
- <p>The <em>sampling period</em> that is printed at the beginning of the flat
- profile says how often samples are taken. The rule of thumb is that a
- run-time figure is accurate if it is considerably bigger than the sampling
- period.
- </p>
- <p>The actual amount of error can be predicted.
- For <var>n</var> samples, the <em>expected</em> error
- is the square-root of <var>n</var>. For example,
- if the sampling period is 0.01 seconds and <code>foo</code>’s run-time is 1 second,
- <var>n</var> is 100 samples (1 second/0.01 seconds), sqrt(<var>n</var>) is 10 samples, so
- the expected error in <code>foo</code>’s run-time is 0.1 seconds (10*0.01 seconds),
- or ten percent of the observed value.
- Again, if the sampling period is 0.01 seconds and <code>bar</code>’s run-time is
- 100 seconds, <var>n</var> is 10000 samples, sqrt(<var>n</var>) is 100 samples, so
- the expected error in <code>bar</code>’s run-time is 1 second,
- or one percent of the observed value.
- It is likely to
- vary this much <em>on the average</em> from one profiling run to the next.
- (<em>Sometimes</em> it will vary more.)
- </p>
- <p>This does not mean that a small run-time figure is devoid of information.
- If the program’s <em>total</em> run-time is large, a small run-time for one
- function does tell you that that function used an insignificant fraction of
- the whole program’s time. Usually this means it is not worth optimizing.
- </p>
- <p>One way to get more accuracy is to give your program more (but similar)
- input data so it will take longer. Another way is to combine the data from
- several runs, using the ‘<samp>-s</samp>’ option of <code>gprof</code>. Here is how:
- </p>
- <ol>
- <li> Run your program once.
- </li><li> Issue the command ‘<samp>mv gmon.out gmon.sum</samp>’.
- </li><li> Run your program again, the same as before.
- </li><li> Merge the new data in <samp>gmon.out</samp> into <samp>gmon.sum</samp> with this command:
- <div class="example">
- <pre class="example">gprof -s <var>executable-file</var> gmon.out gmon.sum
- </pre></div>
- </li><li> Repeat the last two steps as often as you wish.
- </li><li> Analyze the cumulative data using this command:
- <div class="example">
- <pre class="example">gprof <var>executable-file</var> gmon.sum > <var>output-file</var>
- </pre></div>
- </li></ol>
- <hr>
- <span id="Assumptions"></span><div class="header">
- <p>
- Previous: <a href="#Sampling-Error" accesskey="p" rel="prev">Sampling Error</a>, Up: <a href="#Inaccuracy" accesskey="u" rel="up">Inaccuracy</a> [<a href="#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
- </div>
- <span id="Estimating-children-Times"></span><h3 class="section">6.2 Estimating <code>children</code> Times</h3>
- <p>Some of the figures in the call graph are estimates—for example, the
- <code>children</code> time values and all the time figures in caller and
- subroutine lines.
- </p>
- <p>There is no direct information about these measurements in the profile
- data itself. Instead, <code>gprof</code> estimates them by making an assumption
- about your program that might or might not be true.
- </p>
- <p>The assumption made is that the average time spent in each call to any
- function <code>foo</code> is not correlated with who called <code>foo</code>. If
- <code>foo</code> used 5 seconds in all, and 2/5 of the calls to <code>foo</code> came
- from <code>a</code>, then <code>foo</code> contributes 2 seconds to <code>a</code>’s
- <code>children</code> time, by assumption.
- </p>
- <p>This assumption is usually true enough, but for some programs it is far
- from true. Suppose that <code>foo</code> returns very quickly when its argument
- is zero; suppose that <code>a</code> always passes zero as an argument, while
- other callers of <code>foo</code> pass other arguments. In this program, all the
- time spent in <code>foo</code> is in the calls from callers other than <code>a</code>.
- But <code>gprof</code> has no way of knowing this; it will blindly and
- incorrectly charge 2 seconds of time in <code>foo</code> to the children of
- <code>a</code>.
- </p>
- <p>We hope some day to put more complete data into <samp>gmon.out</samp>, so that
- this assumption is no longer needed, if we can figure out how. For the
- novice, the estimated figures are usually more useful than misleading.
- </p>
- <hr>
- <span id="How-do-I_003f"></span><div class="header">
- <p>
- Next: <a href="#Incompatibilities" accesskey="n" rel="next">Incompatibilities</a>, Previous: <a href="#Inaccuracy" accesskey="p" rel="prev">Inaccuracy</a>, Up: <a href="#Top" accesskey="u" rel="up">Top</a> [<a href="#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
- </div>
- <span id="Answers-to-Common-Questions"></span><h2 class="chapter">7 Answers to Common Questions</h2>
- <dl compact="compact">
- <dt>How can I get more exact information about hot spots in my program?</dt>
- <dd>
- <p>Looking at the per-line call counts only tells part of the story.
- Because <code>gprof</code> can only report call times and counts by function,
- the best way to get finer-grained information on where the program
- is spending its time is to re-factor large functions into sequences
- of calls to smaller ones. Beware however that this can introduce
- artificial hot spots since compiling with ‘<samp>-pg</samp>’ adds a significant
- overhead to function calls. An alternative solution is to use a
- non-intrusive profiler, e.g. oprofile.
- </p>
- </dd>
- <dt>How do I find which lines in my program were executed the most times?</dt>
- <dd>
- <p>Use the <code>gcov</code> program.
- </p>
- </dd>
- <dt>How do I find which lines in my program called a particular function?</dt>
- <dd>
- <p>Use ‘<samp>gprof -l</samp>’ and lookup the function in the call graph.
- The callers will be broken down by function and line number.
- </p>
- </dd>
- <dt>How do I analyze a program that runs for less than a second?</dt>
- <dd>
- <p>Try using a shell script like this one:
- </p>
- <div class="example">
- <pre class="example">for i in `seq 1 100`; do
- fastprog
- mv gmon.out gmon.out.$i
- done
- gprof -s fastprog gmon.out.*
- gprof fastprog gmon.sum
- </pre></div>
- <p>If your program is completely deterministic, all the call counts
- will be simple multiples of 100 (i.e., a function called once in
- each run will appear with a call count of 100).
- </p>
- </dd>
- </dl>
- <hr>
- <span id="Incompatibilities"></span><div class="header">
- <p>
- Next: <a href="#Details" accesskey="n" rel="next">Details</a>, Previous: <a href="#How-do-I_003f" accesskey="p" rel="prev">How do I?</a>, Up: <a href="#Top" accesskey="u" rel="up">Top</a> [<a href="#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
- </div>
- <span id="Incompatibilities-with-Unix-gprof"></span><h2 class="chapter">8 Incompatibilities with Unix <code>gprof</code></h2>
- <p><small>GNU</small> <code>gprof</code> and Berkeley Unix <code>gprof</code> use the same data
- file <samp>gmon.out</samp>, and provide essentially the same information. But
- there are a few differences.
- </p>
- <ul>
- <li> <small>GNU</small> <code>gprof</code> uses a new, generalized file format with support
- for basic-block execution counts and non-realtime histograms. A magic
- cookie and version number allows <code>gprof</code> to easily identify
- new style files. Old BSD-style files can still be read.
- See <a href="#File-Format">Profiling Data File Format</a>.
- </li><li> For a recursive function, Unix <code>gprof</code> lists the function as a
- parent and as a child, with a <code>calls</code> field that lists the number
- of recursive calls. <small>GNU</small> <code>gprof</code> omits these lines and puts
- the number of recursive calls in the primary line.
- </li><li> When a function is suppressed from the call graph with ‘<samp>-e</samp>’, <small>GNU</small>
- <code>gprof</code> still lists it as a subroutine of functions that call it.
- </li><li> <small>GNU</small> <code>gprof</code> accepts the ‘<samp>-k</samp>’ with its argument
- in the form ‘<samp>from/to</samp>’, instead of ‘<samp>from to</samp>’.
- </li><li> In the annotated source listing,
- if there are multiple basic blocks on the same line,
- <small>GNU</small> <code>gprof</code> prints all of their counts, separated by commas.
- </li><li> The blurbs, field widths, and output formats are different. <small>GNU</small>
- <code>gprof</code> prints blurbs after the tables, so that you can see the
- tables without skipping the blurbs.
- </li></ul>
- <hr>
- <span id="Details"></span><div class="header">
- <p>
- Next: <a href="#GNU-Free-Documentation-License" accesskey="n" rel="next">GNU Free Documentation License</a>, Previous: <a href="#Incompatibilities" accesskey="p" rel="prev">Incompatibilities</a>, Up: <a href="#Top" accesskey="u" rel="up">Top</a> [<a href="#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
- </div>
- <span id="Details-of-Profiling"></span><h2 class="chapter">9 Details of Profiling</h2>
- <table class="menu" border="0" cellspacing="0">
- <tr><td align="left" valign="top">• <a href="#Implementation" accesskey="1">Implementation</a></td><td> </td><td align="left" valign="top">How a program collects profiling information
- </td></tr>
- <tr><td align="left" valign="top">• <a href="#File-Format" accesskey="2">File Format</a></td><td> </td><td align="left" valign="top">Format of ‘<samp>gmon.out</samp>’ files
- </td></tr>
- <tr><td align="left" valign="top">• <a href="#Internals" accesskey="3">Internals</a></td><td> </td><td align="left" valign="top"><code>gprof</code>’s internal operation
- </td></tr>
- <tr><td align="left" valign="top">• <a href="#Debugging" accesskey="4">Debugging</a></td><td> </td><td align="left" valign="top">Using <code>gprof</code>’s ‘<samp>-d</samp>’ option
- </td></tr>
- </table>
- <hr>
- <span id="Implementation"></span><div class="header">
- <p>
- Next: <a href="#File-Format" accesskey="n" rel="next">File Format</a>, Up: <a href="#Details" accesskey="u" rel="up">Details</a> [<a href="#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
- </div>
- <span id="Implementation-of-Profiling"></span><h3 class="section">9.1 Implementation of Profiling</h3>
- <p>Profiling works by changing how every function in your program is compiled
- so that when it is called, it will stash away some information about where
- it was called from. From this, the profiler can figure out what function
- called it, and can count how many times it was called. This change is made
- by the compiler when your program is compiled with the ‘<samp>-pg</samp>’ option,
- which causes every function to call <code>mcount</code>
- (or <code>_mcount</code>, or <code>__mcount</code>, depending on the OS and compiler)
- as one of its first operations.
- </p>
- <p>The <code>mcount</code> routine, included in the profiling library,
- is responsible for recording in an in-memory call graph table
- both its parent routine (the child) and its parent’s parent. This is
- typically done by examining the stack frame to find both
- the address of the child, and the return address in the original parent.
- Since this is a very machine-dependent operation, <code>mcount</code>
- itself is typically a short assembly-language stub routine
- that extracts the required
- information, and then calls <code>__mcount_internal</code>
- (a normal C function) with two arguments—<code>frompc</code> and <code>selfpc</code>.
- <code>__mcount_internal</code> is responsible for maintaining
- the in-memory call graph, which records <code>frompc</code>, <code>selfpc</code>,
- and the number of times each of these call arcs was traversed.
- </p>
- <p>GCC Version 2 provides a magical function (<code>__builtin_return_address</code>),
- which allows a generic <code>mcount</code> function to extract the
- required information from the stack frame. However, on some
- architectures, most notably the SPARC, using this builtin can be
- very computationally expensive, and an assembly language version
- of <code>mcount</code> is used for performance reasons.
- </p>
- <p>Number-of-calls information for library routines is collected by using a
- special version of the C library. The programs in it are the same as in
- the usual C library, but they were compiled with ‘<samp>-pg</samp>’. If you
- link your program with ‘<samp>gcc … -pg</samp>’, it automatically uses the
- profiling version of the library.
- </p>
- <p>Profiling also involves watching your program as it runs, and keeping a
- histogram of where the program counter happens to be every now and then.
- Typically the program counter is looked at around 100 times per second of
- run time, but the exact frequency may vary from system to system.
- </p>
- <p>This is done is one of two ways. Most UNIX-like operating systems
- provide a <code>profil()</code> system call, which registers a memory
- array with the kernel, along with a scale
- factor that determines how the program’s address space maps
- into the array.
- Typical scaling values cause every 2 to 8 bytes of address space
- to map into a single array slot.
- On every tick of the system clock
- (assuming the profiled program is running), the value of the
- program counter is examined and the corresponding slot in
- the memory array is incremented. Since this is done in the kernel,
- which had to interrupt the process anyway to handle the clock
- interrupt, very little additional system overhead is required.
- </p>
- <p>However, some operating systems, most notably Linux 2.0 (and earlier),
- do not provide a <code>profil()</code> system call. On such a system,
- arrangements are made for the kernel to periodically deliver
- a signal to the process (typically via <code>setitimer()</code>),
- which then performs the same operation of examining the
- program counter and incrementing a slot in the memory array.
- Since this method requires a signal to be delivered to
- user space every time a sample is taken, it uses considerably
- more overhead than kernel-based profiling. Also, due to the
- added delay required to deliver the signal, this method is
- less accurate as well.
- </p>
- <p>A special startup routine allocates memory for the histogram and
- either calls <code>profil()</code> or sets up
- a clock signal handler.
- This routine (<code>monstartup</code>) can be invoked in several ways.
- On Linux systems, a special profiling startup file <code>gcrt0.o</code>,
- which invokes <code>monstartup</code> before <code>main</code>,
- is used instead of the default <code>crt0.o</code>.
- Use of this special startup file is one of the effects
- of using ‘<samp>gcc … -pg</samp>’ to link.
- On SPARC systems, no special startup files are used.
- Rather, the <code>mcount</code> routine, when it is invoked for
- the first time (typically when <code>main</code> is called),
- calls <code>monstartup</code>.
- </p>
- <p>If the compiler’s ‘<samp>-a</samp>’ option was used, basic-block counting
- is also enabled. Each object file is then compiled with a static array
- of counts, initially zero.
- In the executable code, every time a new basic-block begins
- (i.e., when an <code>if</code> statement appears), an extra instruction
- is inserted to increment the corresponding count in the array.
- At compile time, a paired array was constructed that recorded
- the starting address of each basic-block. Taken together,
- the two arrays record the starting address of every basic-block,
- along with the number of times it was executed.
- </p>
- <p>The profiling library also includes a function (<code>mcleanup</code>) which is
- typically registered using <code>atexit()</code> to be called as the
- program exits, and is responsible for writing the file <samp>gmon.out</samp>.
- Profiling is turned off, various headers are output, and the histogram
- is written, followed by the call-graph arcs and the basic-block counts.
- </p>
- <p>The output from <code>gprof</code> gives no indication of parts of your program that
- are limited by I/O or swapping bandwidth. This is because samples of the
- program counter are taken at fixed intervals of the program’s run time.
- Therefore, the
- time measurements in <code>gprof</code> output say nothing about time that your
- program was not running. For example, a part of the program that creates
- so much data that it cannot all fit in physical memory at once may run very
- slowly due to thrashing, but <code>gprof</code> will say it uses little time. On
- the other hand, sampling by run time has the advantage that the amount of
- load due to other users won’t directly affect the output you get.
- </p>
- <hr>
- <span id="File-Format"></span><div class="header">
- <p>
- Next: <a href="#Internals" accesskey="n" rel="next">Internals</a>, Previous: <a href="#Implementation" accesskey="p" rel="prev">Implementation</a>, Up: <a href="#Details" accesskey="u" rel="up">Details</a> [<a href="#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
- </div>
- <span id="Profiling-Data-File-Format"></span><h3 class="section">9.2 Profiling Data File Format</h3>
- <p>The old BSD-derived file format used for profile data does not contain a
- magic cookie that allows one to check whether a data file really is a
- <code>gprof</code> file. Furthermore, it does not provide a version number, thus
- rendering changes to the file format almost impossible. <small>GNU</small> <code>gprof</code>
- uses a new file format that provides these features. For backward
- compatibility, <small>GNU</small> <code>gprof</code> continues to support the old BSD-derived
- format, but not all features are supported with it. For example,
- basic-block execution counts cannot be accommodated by the old file
- format.
- </p>
- <p>The new file format is defined in header file <samp>gmon_out.h</samp>. It
- consists of a header containing the magic cookie and a version number,
- as well as some spare bytes available for future extensions. All data
- in a profile data file is in the native format of the target for which
- the profile was collected. <small>GNU</small> <code>gprof</code> adapts automatically
- to the byte-order in use.
- </p>
- <p>In the new file format, the header is followed by a sequence of
- records. Currently, there are three different record types: histogram
- records, call-graph arc records, and basic-block execution count
- records. Each file can contain any number of each record type. When
- reading a file, <small>GNU</small> <code>gprof</code> will ensure records of the same type are
- compatible with each other and compute the union of all records. For
- example, for basic-block execution counts, the union is simply the sum
- of all execution counts for each basic-block.
- </p>
- <span id="Histogram-Records"></span><h4 class="subsection">9.2.1 Histogram Records</h4>
- <p>Histogram records consist of a header that is followed by an array of
- bins. The header contains the text-segment range that the histogram
- spans, the size of the histogram in bytes (unlike in the old BSD
- format, this does not include the size of the header), the rate of the
- profiling clock, and the physical dimension that the bin counts
- represent after being scaled by the profiling clock rate. The
- physical dimension is specified in two parts: a long name of up to 15
- characters and a single character abbreviation. For example, a
- histogram representing real-time would specify the long name as
- “seconds” and the abbreviation as “s”. This feature is useful for
- architectures that support performance monitor hardware (which,
- fortunately, is becoming increasingly common). For example, under DEC
- OSF/1, the “uprofile” command can be used to produce a histogram of,
- say, instruction cache misses. In this case, the dimension in the
- histogram header could be set to “i-cache misses” and the abbreviation
- could be set to “1” (because it is simply a count, not a physical
- dimension). Also, the profiling rate would have to be set to 1 in
- this case.
- </p>
- <p>Histogram bins are 16-bit numbers and each bin represent an equal
- amount of text-space. For example, if the text-segment is one
- thousand bytes long and if there are ten bins in the histogram, each
- bin represents one hundred bytes.
- </p>
- <span id="Call_002dGraph-Records"></span><h4 class="subsection">9.2.2 Call-Graph Records</h4>
- <p>Call-graph records have a format that is identical to the one used in
- the BSD-derived file format. It consists of an arc in the call graph
- and a count indicating the number of times the arc was traversed
- during program execution. Arcs are specified by a pair of addresses:
- the first must be within caller’s function and the second must be
- within the callee’s function. When performing profiling at the
- function level, these addresses can point anywhere within the
- respective function. However, when profiling at the line-level, it is
- better if the addresses are as close to the call-site/entry-point as
- possible. This will ensure that the line-level call-graph is able to
- identify exactly which line of source code performed calls to a
- function.
- </p>
- <span id="Basic_002dBlock-Execution-Count-Records"></span><h4 class="subsection">9.2.3 Basic-Block Execution Count Records</h4>
- <p>Basic-block execution count records consist of a header followed by a
- sequence of address/count pairs. The header simply specifies the
- length of the sequence. In an address/count pair, the address
- identifies a basic-block and the count specifies the number of times
- that basic-block was executed. Any address within the basic-address can
- be used.
- </p>
- <hr>
- <span id="Internals"></span><div class="header">
- <p>
- Next: <a href="#Debugging" accesskey="n" rel="next">Debugging</a>, Previous: <a href="#File-Format" accesskey="p" rel="prev">File Format</a>, Up: <a href="#Details" accesskey="u" rel="up">Details</a> [<a href="#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
- </div>
- <span id="gprof_0027s-Internal-Operation"></span><h3 class="section">9.3 <code>gprof</code>’s Internal Operation</h3>
- <p>Like most programs, <code>gprof</code> begins by processing its options.
- During this stage, it may building its symspec list
- (<code>sym_ids.c:sym_id_add</code>), if
- options are specified which use symspecs.
- <code>gprof</code> maintains a single linked list of symspecs,
- which will eventually get turned into 12 symbol tables,
- organized into six include/exclude pairs—one
- pair each 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).
- </p>
- <p>After option processing, <code>gprof</code> finishes
- building the symspec list by adding all the symspecs in
- <code>default_excluded_list</code> to the exclude lists
- EXCL_TIME and EXCL_GRAPH, and if line-by-line profiling is specified,
- EXCL_FLAT as well.
- These default excludes are not added to EXCL_ANNO, EXCL_ARCS, and EXCL_EXEC.
- </p>
- <p>Next, the BFD library is called to open the object file,
- verify that it is an object file,
- and read its symbol table (<code>core.c:core_init</code>),
- using <code>bfd_canonicalize_symtab</code> after mallocing
- an appropriately sized array of symbols. At this point,
- function mappings are read (if the ‘<samp>--file-ordering</samp>’ option
- has been specified), and the core text space is read into
- memory (if the ‘<samp>-c</samp>’ option was given).
- </p>
- <p><code>gprof</code>’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
- on whether line-by-line profiling (‘<samp>-l</samp>’ option) has been
- enabled.
- For normal profiling, the BFD canonical symbol table is scanned.
- For line-by-line profiling, every
- text space address is examined, and a new symbol table entry
- gets created every time the line number changes.
- In either case, two passes are made through the symbol
- table—one to count the size of the symbol table required,
- and the other to actually read the symbols. In between the
- two passes, a single array of type <code>Sym</code> is created of
- the appropriate length.
- Finally, <code>symtab.c:symtab_finalize</code>
- is called to sort the symbol table and remove duplicate entries
- (entries with the same memory address).
- </p>
- <p>The symbol table must be a contiguous array for two reasons.
- First, the <code>qsort</code> library function (which sorts an array)
- will be used to sort the symbol table.
- Also, the symbol lookup routine (<code>symtab.c:sym_lookup</code>),
- which finds symbols
- based on memory address, uses a binary search algorithm
- which requires the symbol table to be a sorted array.
- Function symbols are indicated with an <code>is_func</code> flag.
- Line number symbols have no special flags set.
- Additionally, a symbol can have an <code>is_static</code> flag
- to indicate that it is a local symbol.
- </p>
- <p>With the symbol table read, the symspecs can now be translated
- into Syms (<code>sym_ids.c:sym_id_parse</code>). Remember that a single
- symspec can match multiple symbols.
- An array of symbol tables
- (<code>syms</code>) is created, each entry of which is a symbol table
- of Syms to be included or excluded from a particular listing.
- The master symbol table and the symspecs are examined by nested
- loops, and every symbol that matches a symspec is inserted
- into the appropriate syms table. This is done twice, once to
- count the size of each required symbol table, and again to build
- the tables, which have been malloced between passes.
- From now on, to determine whether a symbol is on an include
- or exclude symspec list, <code>gprof</code> simply uses its
- standard symbol lookup routine on the appropriate table
- in the <code>syms</code> array.
- </p>
- <p>Now the profile data file(s) themselves are read
- (<code>gmon_io.c:gmon_out_read</code>),
- first by checking for a new-style ‘<samp>gmon.out</samp>’ header,
- then assuming this is an old-style BSD ‘<samp>gmon.out</samp>’
- if the magic number test failed.
- </p>
- <p>New-style histogram records are read by <code>hist.c:hist_read_rec</code>.
- For the first histogram record, allocate a memory array to hold
- all the bins, and read them in.
- When multiple profile data files (or files with multiple histogram
- records) are read, the memory ranges of each pair of histogram records
- must be either equal, or non-overlapping. For each pair of histogram
- records, the resolution (memory region size divided by the number of
- bins) must be the same. The time unit must be the same for all
- histogram records. If the above containts are met, all histograms
- for the same memory range are merged.
- </p>
- <p>As each call graph record is read (<code>call_graph.c:cg_read_rec</code>),
- the parent and child addresses
- are matched to symbol table entries, and a call graph arc is
- created by <code>cg_arcs.c:arc_add</code>, unless the arc fails a symspec
- check against INCL_ARCS/EXCL_ARCS. As each arc is added,
- a linked list is maintained of the parent’s child arcs, and of the child’s
- parent arcs.
- Both the child’s call count and the arc’s call count are
- incremented by the record’s call count.
- </p>
- <p>Basic-block records are read (<code>basic_blocks.c:bb_read_rec</code>),
- but only if line-by-line profiling has been selected.
- Each basic-block address 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, the call counts
- are cumulative.
- </p>
- <p>A gmon.sum file is dumped, if requested (<code>gmon_io.c:gmon_out_write</code>).
- </p>
- <p>If histograms were present in the data files, assign them to symbols
- (<code>hist.c:hist_assign_samples</code>) by iterating over all the sample
- bins and assigning them to symbols. Since the symbol table
- is sorted in order of ascending memory addresses, we can
- simple follow along in the symbol table as we make our pass
- over the sample bins.
- This step includes a symspec check against INCL_FLAT/EXCL_FLAT.
- Depending on the histogram
- scale factor, a sample bin may span multiple symbols,
- in which case a fraction of the sample count is allocated
- to each symbol, proportional to the degree of overlap.
- This effect is rare for normal profiling, but overlaps
- are more common during line-by-line profiling, and can
- cause each of two adjacent lines to be credited with half
- a hit, for example.
- </p>
- <p>If call graph data is present, <code>cg_arcs.c:cg_assemble</code> is called.
- First, if ‘<samp>-c</samp>’ was specified, a machine-dependent
- routine (<code>find_call</code>) scans through each symbol’s machine code,
- looking for subroutine call instructions, and adding them
- to the call graph with a zero call count.
- A topological sort is performed by depth-first numbering
- all the symbols (<code>cg_dfn.c:cg_dfn</code>), so that
- children are always numbered less than their parents,
- then making a array of pointers into the symbol table and sorting it into
- numerical order, which is reverse topological
- order (children appear before parents).
- Cycles are also detected at this point, all members
- of which are assigned the same topological number.
- Two passes are now made through this sorted array of symbol pointers.
- The first pass, from end to beginning (parents to children),
- computes the fraction of child time to propagate to each parent
- and a print flag.
- The print flag reflects symspec handling of INCL_GRAPH/EXCL_GRAPH,
- with a parent’s include or exclude (print or no print) property
- being propagated to its children, unless they themselves explicitly appear
- in INCL_GRAPH or EXCL_GRAPH.
- A second pass, from beginning to end (children to parents) actually
- propagates the timings along the call graph, subject
- to a check against INCL_TIME/EXCL_TIME.
- With the print flag, fractions, and timings now stored in the symbol
- structures, the topological sort array is now discarded, and a
- new array of pointers is assembled, this time sorted by propagated time.
- </p>
- <p>Finally, print the various outputs the user requested, which is now fairly
- straightforward. The call graph (<code>cg_print.c:cg_print</code>) and
- flat profile (<code>hist.c:hist_print</code>) are regurgitations of values
- already computed. The annotated source listing
- (<code>basic_blocks.c:print_annotated_source</code>) uses basic-block
- information, if present, to label each line of code with call counts,
- otherwise only the function call counts are presented.
- </p>
- <p>The function ordering code is marginally well documented
- in the source code itself (<code>cg_print.c</code>). Basically,
- the functions with the most use and the most parents are
- placed first, followed by other functions with the most use,
- followed by lower use functions, followed by unused functions
- at the end.
- </p>
- <hr>
- <span id="Debugging"></span><div class="header">
- <p>
- Previous: <a href="#Internals" accesskey="p" rel="prev">Internals</a>, Up: <a href="#Details" accesskey="u" rel="up">Details</a> [<a href="#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
- </div>
- <span id="Debugging-gprof"></span><h3 class="section">9.4 Debugging <code>gprof</code></h3>
- <p>If <code>gprof</code> was compiled with debugging enabled,
- the ‘<samp>-d</samp>’ option triggers debugging output
- (to stdout) which can be helpful in understanding its operation.
- The debugging number specified is interpreted as a sum of the following
- options:
- </p>
- <dl compact="compact">
- <dt>2 - Topological sort</dt>
- <dd><p>Monitor depth-first numbering of symbols during call graph analysis
- </p></dd>
- <dt>4 - Cycles</dt>
- <dd><p>Shows symbols as they are identified as cycle heads
- </p></dd>
- <dt>16 - Tallying</dt>
- <dd><p>As the call graph arcs are read, show each arc and how
- the total calls to each function are tallied
- </p></dd>
- <dt>32 - Call graph arc sorting</dt>
- <dd><p>Details sorting individual parents/children within each call graph entry
- </p></dd>
- <dt>64 - Reading histogram and call graph records</dt>
- <dd><p>Shows address ranges of histograms as they are read, and each
- call graph arc
- </p></dd>
- <dt>128 - Symbol table</dt>
- <dd><p>Reading, classifying, and sorting the symbol table from the object file.
- For line-by-line profiling (‘<samp>-l</samp>’ option), also shows line numbers
- being assigned to memory addresses.
- </p></dd>
- <dt>256 - Static call graph</dt>
- <dd><p>Trace operation of ‘<samp>-c</samp>’ option
- </p></dd>
- <dt>512 - Symbol table and arc table lookups</dt>
- <dd><p>Detail operation of lookup routines
- </p></dd>
- <dt>1024 - Call graph propagation</dt>
- <dd><p>Shows how function times are propagated along the call graph
- </p></dd>
- <dt>2048 - Basic-blocks</dt>
- <dd><p>Shows basic-block records as they are read from profile data
- (only meaningful with ‘<samp>-l</samp>’ option)
- </p></dd>
- <dt>4096 - Symspecs</dt>
- <dd><p>Shows symspec-to-symbol pattern matching operation
- </p></dd>
- <dt>8192 - Annotate source</dt>
- <dd><p>Tracks operation of ‘<samp>-A</samp>’ option
- </p></dd>
- </dl>
- <hr>
- <span id="GNU-Free-Documentation-License"></span><div class="header">
- <p>
- Previous: <a href="#Details" accesskey="p" rel="prev">Details</a>, Up: <a href="#Top" accesskey="u" rel="up">Top</a> [<a href="#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
- </div>
- <span id="GNU-Free-Documentation-License-1"></span><h2 class="appendix">Appendix A GNU Free Documentation License</h2>
- <div align="center">Version 1.3, 3 November 2008
- </div>
- <div class="display">
- <pre class="display">Copyright © 2000, 2001, 2002, 2007, 2008 Free Software Foundation, Inc.
- <a href="http://fsf.org/">http://fsf.org/</a>
- Everyone is permitted to copy and distribute verbatim copies
- of this license document, but changing it is not allowed.
- </pre></div>
- <ol start="0">
- <li> PREAMBLE
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- translations of some or all Invariant Sections in addition to the
- original versions of these Invariant Sections. You may include a
- translation of this License, and all the license notices in the
- Document, and any Warranty Disclaimers, provided that you also include
- the original English version of this License and the original versions
- of those notices and disclaimers. In case of a disagreement between
- the translation and the original version of this License or a notice
- or disclaimer, the original version will prevail.
- </p>
- <p>If a section in the Document is Entitled “Acknowledgements”,
- “Dedications”, or “History”, the requirement (section 4) to Preserve
- its Title (section 1) will typically require changing the actual
- title.
- </p>
- </li><li> TERMINATION
- <p>You may not copy, modify, sublicense, or distribute the Document
- except as expressly provided under this License. Any attempt
- otherwise to copy, modify, sublicense, or distribute it is void, and
- will automatically terminate your rights under this License.
- </p>
- <p>However, if you cease all violation of this License, then your license
- from a particular copyright holder is reinstated (a) provisionally,
- unless and until the copyright holder explicitly and finally
- terminates your license, and (b) permanently, if the copyright holder
- fails to notify you of the violation by some reasonable means prior to
- 60 days after the cessation.
- </p>
- <p>Moreover, your license from a particular copyright holder is
- reinstated permanently if the copyright holder notifies you of the
- violation by some reasonable means, this is the first time you have
- received notice of violation of this License (for any work) from that
- copyright holder, and you cure the violation prior to 30 days after
- your receipt of the notice.
- </p>
- <p>Termination of your rights under this section does not terminate the
- licenses of parties who have received copies or rights from you under
- this License. If your rights have been terminated and not permanently
- reinstated, receipt of a copy of some or all of the same material does
- not give you any rights to use it.
- </p>
- </li><li> FUTURE REVISIONS OF THIS LICENSE
- <p>The Free Software Foundation may publish new, revised versions
- of the GNU Free Documentation License from time to time. Such new
- versions will be similar in spirit to the present version, but may
- differ in detail to address new problems or concerns. See
- <a href="http://www.gnu.org/copyleft/">http://www.gnu.org/copyleft/</a>.
- </p>
- <p>Each version of the License is given a distinguishing version number.
- If the Document specifies that a particular numbered version of this
- License “or any later version” applies to it, you have the option of
- following the terms and conditions either of that specified version or
- of any later version that has been published (not as a draft) by the
- Free Software Foundation. If the Document does not specify a version
- number of this License, you may choose any version ever published (not
- as a draft) by the Free Software Foundation. If the Document
- specifies that a proxy can decide which future versions of this
- License can be used, that proxy’s public statement of acceptance of a
- version permanently authorizes you to choose that version for the
- Document.
- </p>
- </li><li> RELICENSING
- <p>“Massive Multiauthor Collaboration Site” (or “MMC Site”) means any
- World Wide Web server that publishes copyrightable works and also
- provides prominent facilities for anybody to edit those works. A
- public wiki that anybody can edit is an example of such a server. A
- “Massive Multiauthor Collaboration” (or “MMC”) contained in the
- site means any set of copyrightable works thus published on the MMC
- site.
- </p>
- <p>“CC-BY-SA” means the Creative Commons Attribution-Share Alike 3.0
- license published by Creative Commons Corporation, a not-for-profit
- corporation with a principal place of business in San Francisco,
- California, as well as future copyleft versions of that license
- published by that same organization.
- </p>
- <p>“Incorporate” means to publish or republish a Document, in whole or
- in part, as part of another Document.
- </p>
- <p>An MMC is “eligible for relicensing” if it is licensed under this
- License, and if all works that were first published under this License
- somewhere other than this MMC, and subsequently incorporated in whole
- or in part into the MMC, (1) had no cover texts or invariant sections,
- and (2) were thus incorporated prior to November 1, 2008.
- </p>
- <p>The operator of an MMC Site may republish an MMC contained in the site
- under CC-BY-SA on the same site at any time before August 1, 2009,
- provided the MMC is eligible for relicensing.
- </p>
- </li></ol>
- <span id="ADDENDUM_003a-How-to-use-this-License-for-your-documents"></span><h3 class="heading">ADDENDUM: How to use this License for your documents</h3>
- <p>To use this License in a document you have written, include a copy of
- the License in the document and put the following copyright and
- license notices just after the title page:
- </p>
- <div class="example">
- <pre class="example"> Copyright (C) <var>year</var> <var>your name</var>.
- Permission is granted to copy, distribute and/or modify this document
- under the terms of the GNU Free Documentation License, Version 1.3
- or any later version published by the Free Software Foundation;
- with no Invariant Sections, no Front-Cover Texts, and no Back-Cover
- Texts. A copy of the license is included in the section entitled ``GNU
- Free Documentation License''.
- </pre></div>
- <p>If you have Invariant Sections, Front-Cover Texts and Back-Cover Texts,
- replace the “with…Texts.” line with this:
- </p>
- <div class="example">
- <pre class="example"> with the Invariant Sections being <var>list their titles</var>, with
- the Front-Cover Texts being <var>list</var>, and with the Back-Cover Texts
- being <var>list</var>.
- </pre></div>
- <p>If you have Invariant Sections without Cover Texts, or some other
- combination of the three, merge those two alternatives to suit the
- situation.
- </p>
- <p>If your document contains nontrivial examples of program code, we
- recommend releasing these examples in parallel under your choice of
- free software license, such as the GNU General Public License,
- to permit their use in free software.
- </p>
- <hr>
- </body>
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