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<title>GNU Scientific Library – Reference Manual: Random Number Generator Performance</title>
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<a name="Random-Number-Generator-Performance"></a>
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<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> [<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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