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- By and large the performance of this library should be acceptable for most
- needs. However, often the library has to make a choice whether to be accurate
- or fast and by default it chooses accuracy over speed. If you would rather
- have fast rather than fully accurate routines, then refer to the <a class="link" href="../perf.html" title="Chapter 21. Performance">performance
- section</a> for information and examples on how to achieve this.
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- In terms of the algorithms used, this library aims to use the same "best
- of breed" algorithms as many other libraries: the principle difference
- is that this library is implemented in C++ - taking advantage of all the abstraction
- mechanisms that C++ offers - where as most traditional numeric libraries are
- implemented in C or FORTRAN. Traditionally languages such as C or FORTRAN are
- perceived as easier to optimise than more complex languages like C++, so in
- a sense this library provides a good test of current compiler technology, and
- the "abstraction penalty" - if any - of C++ compared to other languages.
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- The three most important things you can do to ensure the best performance from
- this library are:
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- Turn on your compilers optimisations: the difference between "release"
- 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
- of 20</a>.
- </li>
- <li class="listitem">
- Pick your compiler carefully: <a class="link" href="comp_compilers.html" title="Comparing Different Compilers">performance
- differences of up to 8 fold</a> have been found between some Windows
- compilers for example.
- </li>
- <li class="listitem">
- Disable internal use of <code class="computeroutput"><span class="keyword">long</span> <span class="keyword">double</span></code>, this will reduce accuracy but typically
- yield a 2x speedup on modern x64 hardware/compilers.
- </li>
- </ol></div>
- <p>
- The <a class="link" href="../perf.html" title="Chapter 21. Performance">performance section</a> contains more information
- on the performance of this library, what you can do to fine tune it, and how
- this library compares to some other open source alternatives.
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- Hubert Holin, Bruno Lalande, John Maddock, Jeremy Murphy, Matthew Pulver, Johan
- Råde, Gautam Sewani, Benjamin Sobotta, Nicholas Thompson, Thijs van den Berg,
- Daryle Walker and Xiaogang Zhang<p>
- Distributed under the Boost Software License, Version 1.0. (See accompanying
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