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<title>Random Number Generator Performance - GNU Scientific Library -- Reference Manual</title>
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<h3 class="section">17.12 Performance</h3>
<!-- I made the original plot like this -->
<!-- ./benchmark > tmp; cat tmp | perl -n -e '($n,$s) = split(" ",$_); printf("%17s ",$n); print "-" x ($s/1e5), "\n";' -->
<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 <span class="sc">ranlux</span> algorithm.
<!-- The large number of generators based on single linear congruences are -->
<!-- represented by the @code{random} generator below. These generators are -->
<!-- fast but have the lowest statistical quality. -->
<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
1852 k ints/sec, 935 k doubles/sec, ran3
813 k ints/sec, 575 k doubles/sec, ran0
787 k ints/sec, 476 k doubles/sec, ran1
379 k ints/sec, 292 k doubles/sec, ran2
</pre>
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