90 lines
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90 lines
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<link rel="up" href="../perf.html" title="Chapter 21. Performance">
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<table cellpadding="2" width="100%"><tr>
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<div class="section">
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<div class="titlepage"><div><div><h2 class="title" style="clear: both">
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<a name="math_toolkit.perf_over2"></a><a class="link" href="perf_over2.html" title="Performance Overview">Performance Overview</a>
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</h2></div></div></div>
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<p>
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By and large the performance of this library should be acceptable for most
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needs. However, often the library has to make a choice whether to be accurate
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or fast and by default it chooses accuracy over speed. If you would rather
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have fast rather than fully accurate routines, then refer to the <a class="link" href="../perf.html" title="Chapter 21. Performance">performance
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section</a> for information and examples on how to achieve this.
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</p>
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<p>
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In terms of the algorithms used, this library aims to use the same "best
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of breed" algorithms as many other libraries: the principle difference
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is that this library is implemented in C++ - taking advantage of all the abstraction
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mechanisms that C++ offers - where as most traditional numeric libraries are
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implemented in C or FORTRAN. Traditionally languages such as C or FORTRAN are
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perceived as easier to optimise than more complex languages like C++, so in
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a sense this library provides a good test of current compiler technology, and
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the "abstraction penalty" - if any - of C++ compared to other languages.
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</p>
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<p>
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The three most important things you can do to ensure the best performance from
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this library are:
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</p>
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<div class="orderedlist"><ol class="orderedlist" type="1">
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<li class="listitem">
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Turn on your compilers optimisations: the difference between "release"
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and "debug" builds can easily be a <a class="link" href="getting_best.html" title="Getting the Best Performance from this Library: Compiler and Compiler Options">factor
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of 20</a>.
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</li>
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<li class="listitem">
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Pick your compiler carefully: <a class="link" href="comp_compilers.html" title="Comparing Different Compilers">performance
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differences of up to 8 fold</a> have been found between some Windows
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compilers for example.
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</li>
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<li class="listitem">
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Disable internal use of <code class="computeroutput"><span class="keyword">long</span> <span class="keyword">double</span></code>, this will reduce accuracy but typically
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yield a 2x speedup on modern x64 hardware/compilers.
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</li>
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</ol></div>
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<p>
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The <a class="link" href="../perf.html" title="Chapter 21. Performance">performance section</a> contains more information
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on the performance of this library, what you can do to fine tune it, and how
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this library compares to some other open source alternatives.
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</p>
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</div>
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<table xmlns:rev="http://www.cs.rpi.edu/~gregod/boost/tools/doc/revision" width="100%"><tr>
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<td align="left"></td>
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<td align="right"><div class="copyright-footer">Copyright © 2006-2019 Nikhar
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Agrawal, Anton Bikineev, Paul A. Bristow, Marco Guazzone, Christopher Kormanyos,
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Hubert Holin, Bruno Lalande, John Maddock, Jeremy Murphy, Matthew Pulver, Johan
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Råde, Gautam Sewani, Benjamin Sobotta, Nicholas Thompson, Thijs van den Berg,
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Daryle Walker and Xiaogang Zhang<p>
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Distributed under the Boost Software License, Version 1.0. (See accompanying
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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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</p>
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</div></td>
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</tr></table>
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