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146 lines
6.3 KiB
HTML
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
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<html>
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<!-- This file documents the gprof profiler of the GNU system.
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Copyright (C) 1988-2019 Free Software Foundation, Inc.
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Permission is granted to copy, distribute and/or modify this document
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under the terms of the GNU Free Documentation License, Version 1.3
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or any later version published by the Free Software Foundation;
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with no Invariant Sections, with no Front-Cover Texts, and with no
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<!-- Created by GNU Texinfo 6.4, http://www.gnu.org/software/texinfo/ -->
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<head>
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<title>Sampling Error (GNU gprof)</title>
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<meta name="description" content="Sampling Error (GNU gprof)">
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<meta name="keywords" content="Sampling Error (GNU gprof)">
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<link href="index.html#Top" rel="start" title="Top">
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<link href="index.html#SEC_Contents" rel="contents" title="Table of Contents">
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<link href="Inaccuracy.html#Inaccuracy" rel="up" title="Inaccuracy">
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<link href="Assumptions.html#Assumptions" rel="next" title="Assumptions">
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<link href="Inaccuracy.html#Inaccuracy" rel="prev" title="Inaccuracy">
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</head>
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<body lang="en">
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<a name="Sampling-Error"></a>
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<div class="header">
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<p>
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Next: <a href="Assumptions.html#Assumptions" accesskey="n" rel="next">Assumptions</a>, Up: <a href="Inaccuracy.html#Inaccuracy" accesskey="u" rel="up">Inaccuracy</a> [<a href="index.html#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
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</div>
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<hr>
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<a name="Statistical-Sampling-Error"></a>
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<h3 class="section">6.1 Statistical Sampling Error</h3>
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<p>The run-time figures that <code>gprof</code> gives you are based on a sampling
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process, so they are subject to statistical inaccuracy. If a function runs
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only a small amount of time, so that on the average the sampling process
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ought to catch that function in the act only once, there is a pretty good
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chance it will actually find that function zero times, or twice.
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</p>
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<p>By contrast, the number-of-calls and basic-block figures are derived
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by counting, not sampling. They are completely accurate and will not
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vary from run to run if your program is deterministic and single
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threaded. In multi-threaded applications, or single threaded
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applications that link with multi-threaded libraries, the counts are
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only deterministic if the counting function is thread-safe. (Note:
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beware that the mcount counting function in glibc is <em>not</em>
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thread-safe). See <a href="Implementation.html#Implementation">Implementation of Profiling</a>.
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</p>
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<p>The <em>sampling period</em> that is printed at the beginning of the flat
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profile says how often samples are taken. The rule of thumb is that a
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run-time figure is accurate if it is considerably bigger than the sampling
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period.
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</p>
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<p>The actual amount of error can be predicted.
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For <var>n</var> samples, the <em>expected</em> error
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is the square-root of <var>n</var>. For example,
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if the sampling period is 0.01 seconds and <code>foo</code>’s run-time is 1 second,
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<var>n</var> is 100 samples (1 second/0.01 seconds), sqrt(<var>n</var>) is 10 samples, so
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the expected error in <code>foo</code>’s run-time is 0.1 seconds (10*0.01 seconds),
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or ten percent of the observed value.
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Again, if the sampling period is 0.01 seconds and <code>bar</code>’s run-time is
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100 seconds, <var>n</var> is 10000 samples, sqrt(<var>n</var>) is 100 samples, so
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the expected error in <code>bar</code>’s run-time is 1 second,
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or one percent of the observed value.
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It is likely to
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vary this much <em>on the average</em> from one profiling run to the next.
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(<em>Sometimes</em> it will vary more.)
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</p>
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<p>This does not mean that a small run-time figure is devoid of information.
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If the program’s <em>total</em> run-time is large, a small run-time for one
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function does tell you that that function used an insignificant fraction of
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the whole program’s time. Usually this means it is not worth optimizing.
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</p>
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<p>One way to get more accuracy is to give your program more (but similar)
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input data so it will take longer. Another way is to combine the data from
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several runs, using the ‘<samp>-s</samp>’ option of <code>gprof</code>. Here is how:
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</p>
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<ol>
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<li> Run your program once.
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</li><li> Issue the command ‘<samp>mv gmon.out gmon.sum</samp>’.
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</li><li> Run your program again, the same as before.
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</li><li> Merge the new data in <samp>gmon.out</samp> into <samp>gmon.sum</samp> with this command:
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<div class="example">
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<pre class="example">gprof -s <var>executable-file</var> gmon.out gmon.sum
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</pre></div>
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</li><li> Repeat the last two steps as often as you wish.
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</li><li> Analyze the cumulative data using this command:
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<div class="example">
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<pre class="example">gprof <var>executable-file</var> gmon.sum > <var>output-file</var>
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</pre></div>
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</li></ol>
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<hr>
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<div class="header">
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<p>
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Next: <a href="Assumptions.html#Assumptions" accesskey="n" rel="next">Assumptions</a>, Up: <a href="Inaccuracy.html#Inaccuracy" accesskey="u" rel="up">Inaccuracy</a> [<a href="index.html#SEC_Contents" title="Table of contents" rel="contents">Contents</a>]</p>
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</div>
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</body>
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</html>
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