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<title>GNU Scientific Library &ndash; Reference Manual: Random Number Generator Performance</title>

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<a name="Random-Number-Generator-Performance"></a>
<div class="header">
<p>
Next: <a href="Random-Number-Generator-Examples.html#Random-Number-Generator-Examples" accesskey="n" rel="next">Random Number Generator Examples</a>, Previous: <a href="Other-random-number-generators.html#Other-random-number-generators" accesskey="p" rel="previous">Other random number generators</a>, Up: <a href="Random-Number-Generation.html#Random-Number-Generation" accesskey="u" rel="up">Random Number Generation</a> &nbsp; [<a href="Function-Index.html#Function-Index" title="Index" rel="index">Index</a>]</p>
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<hr>
<a name="Performance"></a>
<h3 class="section">18.12 Performance</h3>


<p>The following table shows the relative performance of a selection the
available random number generators.  The fastest simulation quality
generators are <code>taus</code>, <code>gfsr4</code> and <code>mt19937</code>.  The
generators which offer the best mathematically-proven quality are those
based on the <small>RANLUX</small> algorithm.
</p>

<div class="example">
<pre class="example">1754 k ints/sec,    870 k doubles/sec, taus
1613 k ints/sec,    855 k doubles/sec, gfsr4
1370 k ints/sec,    769 k doubles/sec, mt19937
 565 k ints/sec,    571 k doubles/sec, ranlxs0
 400 k ints/sec,    405 k doubles/sec, ranlxs1
 490 k ints/sec,    389 k doubles/sec, mrg
 407 k ints/sec,    297 k doubles/sec, ranlux
 243 k ints/sec,    254 k doubles/sec, ranlxd1
 251 k ints/sec,    253 k doubles/sec, ranlxs2
 238 k ints/sec,    215 k doubles/sec, cmrg
 247 k ints/sec,    198 k doubles/sec, ranlux389
 141 k ints/sec,    140 k doubles/sec, ranlxd2
</pre></div>




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