<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01//EN"
          "http://www.w3.org/TR/html4/strict.dtd">
<html>
<head>
  <META http-equiv="Content-Type" content="text/html; charset=ISO-8859-1">
  <title>Clang - Performance</title>
  <link type="text/css" rel="stylesheet" href="menu.css">
  <link type="text/css" rel="stylesheet" href="content.css">
  <style type="text/css">
</style>
</head>
<body>

<!--#include virtual="menu.html.incl"-->

<div id="content">

<!--*************************************************************************-->
<h1>Clang - Performance</h1>
<!--*************************************************************************-->

<p>This page tracks the compile time performance of Clang on two
interesting benchmarks:</p>
<ul>
  <li><i>Sketch</i>: The Objective-C example application shipped on
    Mac OS X as part of Xcode. <i>Sketch</i> is indicative of a
    "typical" Objective-C app. The source itself has a relatively
    small amount of code (~7,500 lines of source code), but it relies
    on the extensive Cocoa APIs to build its functionality. Like many
    Objective-C applications, it includes
    <tt>Cocoa/Cocoa.h</tt> in all of its source files, which represents a
    significant stress test of the front-end's performance on lexing,
    preprocessing, parsing, and syntax analysis.</li>
  <li><i>176.gcc</i>: This is the gcc-2.7.2.2 code base as present in
  SPECINT 2000. In contrast to Sketch, <i>176.gcc</i> consists of a
  large amount of C source code (~220,000 lines) with few system
  dependencies. This stresses the back-end's performance on generating
  assembly code and debug information.</li>
</ul>

<!--*************************************************************************-->
<h2><a name="enduser">Experiments</a></h2>
<!--*************************************************************************-->

<p>Measurements are done by serially processing each file in the
respective benchmark, using Clang, gcc, and llvm-gcc as compilers. In
order to track the performance of various subsystems the timings have
been broken down into separate stages where possible:</p>

<ul>
  <li><tt>-Eonly</tt>: This option runs the preprocessor but does not
    perform any output. For gcc and llvm-gcc, the -MM option is used
    as a rough equivalent to this step.</li>
  <li><tt>-parse-noop</tt>: This option runs the parser on the input,
    but without semantic analysis or any output. gcc and llvm-gcc have
    no equivalent for this option.</li>
  <li><tt>-fsyntax-only</tt>: This option runs the parser with semantic
    analysis.</li>
  <li><tt>-emit-llvm -O0</tt>: For Clang and llvm-gcc, this option
    converts to the LLVM intermediate representation but doesn't
    generate native code.</li>
  <li><tt>-S -O0</tt>: Perform actual code generation to produce a
    native assembler file.</li>
  <li><tt>-S -O0 -g</tt>: This adds emission of debug information to
    the assembly output.</li>
</ul>

<p>This set of stages is chosen to be approximately additive, that is
each subsequent stage simply adds some additional processing. The
timings measure the delta of the given stage from the previous
one. For example, the timings for <tt>-fsyntax-only</tt> below show
the difference of running with <tt>-fsyntax-only</tt> versus running
with <tt>-parse-noop</tt> (for clang) or <tt>-MM</tt> with gcc and
llvm-gcc. This amounts to a fairly accurate measure of only the time
to perform semantic analysis (and parsing, in the case of gcc and llvm-gcc).</p>

<p>These timings are chosen to break down the compilation process for
clang as much as possible. The graphs below show these numbers
combined so that it is easy to see how the time for a particular task
is divided among various components. For example, <tt>-S -O0</tt>
includes the time of <tt>-fsyntax-only</tt> and <tt>-emit-llvm -O0</tt>.</p>

<p>Note that we already know that the LLVM optimizers are substantially (30-40%)
faster than the GCC optimizers at a given -O level, so we only focus on -O0
compile time here.</p>

<!--*************************************************************************-->
<h2><a name="enduser">Timing Results</a></h2>
<!--*************************************************************************-->

<!--=======================================================================-->
<h3><a name="2008-10-31">2008-10-31</a></h3>
<!--=======================================================================-->

<h4 style="text-align:center">Sketch</h4>
<img class="img_slide" 
     src="timing-data/2008-10-31/sketch.png" alt="Sketch Timings">

<p>This shows Clang's substantial performance improvements in
preprocessing and semantic analysis; over 90% faster on
-fsyntax-only. As expected, time spent in code generation for this
benchmark is relatively small. One caveat, Clang's debug information
generation for Objective-C is very incomplete; this means the <tt>-S
-O0 -g</tt> numbers are unfair since Clang is generating substantially
less output.</p>

<p>This chart also shows the effect of using precompiled headers (PCH)
on compiler time. gcc and llvm-gcc see a large performance improvement
with PCH; about 4x in wall time. Unfortunately, Clang does not yet
have an implementation of PCH-style optimizations, but we are actively
working to address this.</p>

<h4 style="text-align:center">176.gcc</h4>
<img class="img_slide" 
     src="timing-data/2008-10-31/176.gcc.png" alt="176.gcc Timings">

<p>Unlike the <i>Sketch</i> timings, compilation of <i>176.gcc</i>
involves a large amount of code generation. The time spent in Clang's
LLVM IR generation and code generation is on par with gcc's code
generation time but the improved parsing & semantic analysis
performance means Clang still comes in at ~29% faster versus gcc
on <tt>-S -O0 -g</tt> and ~20% faster versus llvm-gcc.</p>

<p>These numbers indicate that Clang still has room for improvement in
several areas, notably our LLVM IR generation is significantly slower
than that of llvm-gcc, and both Clang and llvm-gcc incur a
significantly higher cost for adding debugging information compared to
gcc.</p>

</div>
</body>
</html>