multiprecision/doc/html/boost_multiprecision/perf/realworld.html
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<title>Floating-Point Real World Tests</title>
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<div class="titlepage"><div><div><h3 class="title">
<a name="boost_multiprecision.perf.realworld"></a><a class="link" href="realworld.html" title="Floating-Point Real World Tests">Floating-Point Real
World Tests</a>
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<p>
These tests test the total time taken to execute all of Boost.Math's test
cases for these functions. In each case the best performing library gets
a relative score of 1, with the total execution time given in brackets. The
first three libraries listed are the various floating-point types provided
by this library, while for comparison, two popular C++ front-ends to <a href="http://www.mpfr.org" target="_top">MPFR</a> ( <a href="http://math.berkeley.edu/~wilken/code/gmpfrxx/" target="_top">mpfr_class</a>
and <a href="http://www.holoborodko.com/pavel/mpfr/" target="_top">mpreal</a>) are
also shown.
</p>
<div class="table">
<a name="boost_multiprecision.perf.realworld.bessel_function_performance"></a><p class="title"><b>Table&#160;1.12.&#160;Bessel Function Performance</b></p>
<div class="table-contents"><table class="table" summary="Bessel Function Performance">
<colgroup>
<col>
<col>
<col>
</colgroup>
<thead><tr>
<th>
<p>
Library
</p>
</th>
<th>
<p>
50 Decimal Digits
</p>
</th>
<th>
<p>
100 Decimal Digits
</p>
</th>
</tr></thead>
<tbody>
<tr>
<td>
<p>
mpfr_float
</p>
</td>
<td>
<p>
1.2 (5.78s)
</p>
</td>
<td>
<p>
1.2 (9.56s)
</p>
</td>
</tr>
<tr>
<td>
<p>
static_mpfr_float
</p>
</td>
<td>
<p>
1.1 (5.47s)
</p>
</td>
<td>
<p>
1.1 (9.09s)
</p>
</td>
</tr>
<tr>
<td>
<p>
mpf_float
</p>
</td>
<td>
<p>
<span class="bold"><strong>1.0</strong></span> (4.82s)
</p>
</td>
<td>
<p>
<span class="bold"><strong>1.0</strong></span>(8.07s)
</p>
</td>
</tr>
<tr>
<td>
<p>
cpp_dec_float
</p>
</td>
<td>
<p>
1.8 (8.54s)
</p>
</td>
<td>
<p>
2.6 (20.66s)
</p>
</td>
</tr>
<tr>
<td>
<p>
<a href="http://math.berkeley.edu/~wilken/code/gmpfrxx/" target="_top">mpfr_class</a>
</p>
</td>
<td>
<p>
1.3 (6.28s)
</p>
</td>
<td>
<p>
1.2(10.06s)
</p>
</td>
</tr>
<tr>
<td>
<p>
<a href="http://www.holoborodko.com/pavel/mpfr/" target="_top">mpreal</a>
</p>
</td>
<td>
<p>
2.0 (9.54s)
</p>
</td>
<td>
<p>
1.7 (14.08s)
</p>
</td>
</tr>
</tbody>
</table></div>
</div>
<br class="table-break"><div class="table">
<a name="boost_multiprecision.perf.realworld.non_central_t_distribution_perfo"></a><p class="title"><b>Table&#160;1.13.&#160;Non-Central T Distribution Performance</b></p>
<div class="table-contents"><table class="table" summary="Non-Central T Distribution Performance">
<colgroup>
<col>
<col>
</colgroup>
<thead><tr>
<th>
<p>
Library
</p>
</th>
<th>
<p>
50 Decimal Digits
</p>
</th>
</tr></thead>
<tbody>
<tr>
<td>
<p>
mpfr_float
</p>
</td>
<td>
<p>
1.3 (263.27s)
</p>
</td>
</tr>
<tr>
<td>
<p>
static_mpfr_float
</p>
</td>
<td>
<p>
1.2 (232.88s)
</p>
</td>
</tr>
<tr>
<td>
<p>
mpf_float
</p>
</td>
<td>
<p>
<span class="bold"><strong>1.0</strong></span> (195.73s)
</p>
</td>
</tr>
<tr>
<td>
<p>
cpp_dec_float
</p>
</td>
<td>
<p>
1.9 (366.38s)
</p>
</td>
</tr>
<tr>
<td>
<p>
<a href="http://math.berkeley.edu/~wilken/code/gmpfrxx/" target="_top">mpfr_class</a>
</p>
</td>
<td>
<p>
1.5 (286.94s)
</p>
</td>
</tr>
<tr>
<td>
<p>
<a href="http://www.holoborodko.com/pavel/mpfr/" target="_top">mpreal</a>
</p>
</td>
<td>
<p>
2.0 (388.70s)
</p>
</td>
</tr>
</tbody>
</table></div>
</div>
<br class="table-break"><p>
Test code was compiled with Microsoft Visual Studio 2010 with all optimisations
turned on (/Ox), and used MPIR-2.3.0 and <a href="http://www.mpfr.org" target="_top">MPFR</a>-3.0.0.
The tests were run on 32-bit Windows Vista machine.
</p>
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<td align="right"><div class="copyright-footer">Copyright &#169; 2002-2019 John Maddock
and Christopher Kormanyos<p>
Distributed under the Boost Software License, Version 1.0. (See accompanying
file LICENSE_1_0.txt or copy at <a href="http://www.boost.org/LICENSE_1_0.txt" target="_top">http://www.boost.org/LICENSE_1_0.txt</a>)
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