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<div class="section">
<div class="titlepage"><div><div><h2 class="title" style="clear: both">
<a name="boost_random.performance"></a><a class="link" href="performance.html" title="Performance">Performance</a>
</h2></div></div></div>
<p>
For some people, performance of random number generation is an important consideration
when choosing a random number generator or a particular distribution function.
This page provides numerous performance tests with the wide variety of generators
and distributions available in the boost library.
</p>
<p>
The performance has been evaluated on an Intel(R) Xeon(TM) MP CPU 3.66GHz,
Gentoo Base System release 1.12.11.1, GCC 4.3.2, glibc 2.9 and on an Intel(R)
Core(TM)2 CPU T7600 @2.33 Ghz with Microsoft Windows XP Professional, Service
Pack 2 Build 2600, Microsoft Visual C++ 2008 9.0.21022. The speed is reported
in million random numbers per second (M rn/sec), generated in a tight loop.
</p>
<div class="table">
<a name="boost_random.performance.basic_generators__linux_"></a><p class="title"><b>Table 16.7. Basic Generators (Linux)</b></p>
<div class="table-contents"><table class="table" summary="Basic Generators (Linux)">
<colgroup>
<col>
<col>
<col>
<col>
</colgroup>
<thead><tr>
<th>
<p>
generator
</p>
</th>
<th>
<p>
M rn/sec
</p>
</th>
<th>
<p>
time per random number [nsec]
</p>
</th>
<th>
<p>
relative speed compared to fastest [percent]
</p>
</th>
</tr></thead>
<tbody>
<tr>
<td>
<p>
rand48
</p>
</td>
<td>
<p>
312.5
</p>
</td>
<td>
<p>
3.2
</p>
</td>
<td>
<p>
100%
</p>
</td>
</tr>
<tr>
<td>
<p>
lrand48 run-time
</p>
</td>
<td>
<p>
303.03
</p>
</td>
<td>
<p>
3.3
</p>
</td>
<td>
<p>
96%
</p>
</td>
</tr>
<tr>
<td>
<p>
lrand48 (C library)
</p>
</td>
<td>
<p>
67.5676
</p>
</td>
<td>
<p>
14.8
</p>
</td>
<td>
<p>
21%
</p>
</td>
</tr>
<tr>
<td>
<p>
minstd_rand0
</p>
</td>
<td>
<p>
96.1538
</p>
</td>
<td>
<p>
10.4
</p>
</td>
<td>
<p>
30%
</p>
</td>
</tr>
<tr>
<td>
<p>
minstd_rand
</p>
</td>
<td>
<p>
93.4579
</p>
</td>
<td>
<p>
10.7
</p>
</td>
<td>
<p>
29%
</p>
</td>
</tr>
<tr>
<td>
<p>
ecuyer combined
</p>
</td>
<td>
<p>
60.6061
</p>
</td>
<td>
<p>
16.5
</p>
</td>
<td>
<p>
19%
</p>
</td>
</tr>
<tr>
<td>
<p>
kreutzer1986
</p>
</td>
<td>
<p>
97.0874
</p>
</td>
<td>
<p>
10.3
</p>
</td>
<td>
<p>
31%
</p>
</td>
</tr>
<tr>
<td>
<p>
taus88
</p>
</td>
<td>
<p>
243.902
</p>
</td>
<td>
<p>
4.1
</p>
</td>
<td>
<p>
78%
</p>
</td>
</tr>
<tr>
<td>
<p>
hellekalek1995 (inversive)
</p>
</td>
<td>
<p>
2.405
</p>
</td>
<td>
<p>
415.8
</p>
</td>
<td>
<p>
0%
</p>
</td>
</tr>
<tr>
<td>
<p>
mt11213b
</p>
</td>
<td>
<p>
138.889
</p>
</td>
<td>
<p>
7.2
</p>
</td>
<td>
<p>
44%
</p>
</td>
</tr>
<tr>
<td>
<p>
mt19937
</p>
</td>
<td>
<p>
138.889
</p>
</td>
<td>
<p>
7.2
</p>
</td>
<td>
<p>
44%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci607
</p>
</td>
<td>
<p>
81.9672
</p>
</td>
<td>
<p>
12.2
</p>
</td>
<td>
<p>
26%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci1279
</p>
</td>
<td>
<p>
81.9672
</p>
</td>
<td>
<p>
12.2
</p>
</td>
<td>
<p>
26%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci2281
</p>
</td>
<td>
<p>
81.9672
</p>
</td>
<td>
<p>
12.2
</p>
</td>
<td>
<p>
26%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci3217
</p>
</td>
<td>
<p>
81.3008
</p>
</td>
<td>
<p>
12.3
</p>
</td>
<td>
<p>
26%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci4423
</p>
</td>
<td>
<p>
80.6452
</p>
</td>
<td>
<p>
12.4
</p>
</td>
<td>
<p>
25%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci9689
</p>
</td>
<td>
<p>
80.6452
</p>
</td>
<td>
<p>
12.4
</p>
</td>
<td>
<p>
25%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci19937
</p>
</td>
<td>
<p>
80
</p>
</td>
<td>
<p>
12.5
</p>
</td>
<td>
<p>
25%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci23209
</p>
</td>
<td>
<p>
80.6452
</p>
</td>
<td>
<p>
12.4
</p>
</td>
<td>
<p>
25%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci44497
</p>
</td>
<td>
<p>
79.3651
</p>
</td>
<td>
<p>
12.6
</p>
</td>
<td>
<p>
25%
</p>
</td>
</tr>
<tr>
<td>
<p>
subtract_with_carry
</p>
</td>
<td>
<p>
76.9231
</p>
</td>
<td>
<p>
13
</p>
</td>
<td>
<p>
24%
</p>
</td>
</tr>
<tr>
<td>
<p>
subtract_with_carry_01
</p>
</td>
<td>
<p>
45.045
</p>
</td>
<td>
<p>
22.2
</p>
</td>
<td>
<p>
14%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux3
</p>
</td>
<td>
<p>
8.78735
</p>
</td>
<td>
<p>
113.8
</p>
</td>
<td>
<p>
2%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux4
</p>
</td>
<td>
<p>
5.11771
</p>
</td>
<td>
<p>
195.4
</p>
</td>
<td>
<p>
1%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux3_01
</p>
</td>
<td>
<p>
5.29381
</p>
</td>
<td>
<p>
188.9
</p>
</td>
<td>
<p>
1%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux4_01
</p>
</td>
<td>
<p>
3.04599
</p>
</td>
<td>
<p>
328.3
</p>
</td>
<td>
<p>
0%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux64_3
</p>
</td>
<td>
<p>
8.74126
</p>
</td>
<td>
<p>
114.4
</p>
</td>
<td>
<p>
2%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux64_4
</p>
</td>
<td>
<p>
5.09684
</p>
</td>
<td>
<p>
196.2
</p>
</td>
<td>
<p>
1%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux64_3_01
</p>
</td>
<td>
<p>
5.30786
</p>
</td>
<td>
<p>
188.4
</p>
</td>
<td>
<p>
1%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux64_4_01
</p>
</td>
<td>
<p>
3.02847
</p>
</td>
<td>
<p>
330.2
</p>
</td>
<td>
<p>
0%
</p>
</td>
</tr>
<tr>
<td>
<p>
mt19937ar.c
</p>
</td>
<td>
<p>
95.2381
</p>
</td>
<td>
<p>
10.5
</p>
</td>
<td>
<p>
30%
</p>
</td>
</tr>
</tbody>
</table></div>
</div>
<br class="table-break"><div class="table">
<a name="boost_random.performance.basic_generators__windows_"></a><p class="title"><b>Table 16.8. Basic Generators (Windows)</b></p>
<div class="table-contents"><table class="table" summary="Basic Generators (Windows)">
<colgroup>
<col>
<col>
<col>
<col>
</colgroup>
<thead><tr>
<th>
<p>
generator
</p>
</th>
<th>
<p>
M rn/sec
</p>
</th>
<th>
<p>
time per random number [nsec]
</p>
</th>
<th>
<p>
relative speed compared to fastest [percent]
</p>
</th>
</tr></thead>
<tbody>
<tr>
<td>
<p>
rand48
</p>
</td>
<td>
<p>
98.5222
</p>
</td>
<td>
<p>
10.15
</p>
</td>
<td>
<p>
67%
</p>
</td>
</tr>
<tr>
<td>
<p>
lrand48 run-time
</p>
</td>
<td>
<p>
17.343
</p>
</td>
<td>
<p>
57.66
</p>
</td>
<td>
<p>
11%
</p>
</td>
</tr>
<tr>
<td>
<p>
minstd_rand0
</p>
</td>
<td>
<p>
46.3822
</p>
</td>
<td>
<p>
21.56
</p>
</td>
<td>
<p>
31%
</p>
</td>
</tr>
<tr>
<td>
<p>
minstd_rand
</p>
</td>
<td>
<p>
38.5505
</p>
</td>
<td>
<p>
25.94
</p>
</td>
<td>
<p>
26%
</p>
</td>
</tr>
<tr>
<td>
<p>
ecuyer combined
</p>
</td>
<td>
<p>
15.8028
</p>
</td>
<td>
<p>
63.28
</p>
</td>
<td>
<p>
10%
</p>
</td>
</tr>
<tr>
<td>
<p>
kreutzer1986
</p>
</td>
<td>
<p>
66.6667
</p>
</td>
<td>
<p>
15
</p>
</td>
<td>
<p>
45%
</p>
</td>
</tr>
<tr>
<td>
<p>
taus88
</p>
</td>
<td>
<p>
145.56
</p>
</td>
<td>
<p>
6.87
</p>
</td>
<td>
<p>
100%
</p>
</td>
</tr>
<tr>
<td>
<p>
hellekalek1995 (inversive)
</p>
</td>
<td>
<p>
4.26658
</p>
</td>
<td>
<p>
234.38
</p>
</td>
<td>
<p>
2%
</p>
</td>
</tr>
<tr>
<td>
<p>
mt11213b
</p>
</td>
<td>
<p>
139.082
</p>
</td>
<td>
<p>
7.19
</p>
</td>
<td>
<p>
95%
</p>
</td>
</tr>
<tr>
<td>
<p>
mt19937
</p>
</td>
<td>
<p>
142.248
</p>
</td>
<td>
<p>
7.03
</p>
</td>
<td>
<p>
97%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci607
</p>
</td>
<td>
<p>
61.5385
</p>
</td>
<td>
<p>
16.25
</p>
</td>
<td>
<p>
42%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci1279
</p>
</td>
<td>
<p>
58.7199
</p>
</td>
<td>
<p>
17.03
</p>
</td>
<td>
<p>
40%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci2281
</p>
</td>
<td>
<p>
64.0205
</p>
</td>
<td>
<p>
15.62
</p>
</td>
<td>
<p>
43%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci3217
</p>
</td>
<td>
<p>
62.1118
</p>
</td>
<td>
<p>
16.1
</p>
</td>
<td>
<p>
42%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci4423
</p>
</td>
<td>
<p>
63.3714
</p>
</td>
<td>
<p>
15.78
</p>
</td>
<td>
<p>
43%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci9689
</p>
</td>
<td>
<p>
64.6412
</p>
</td>
<td>
<p>
15.47
</p>
</td>
<td>
<p>
44%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci19937
</p>
</td>
<td>
<p>
63.3714
</p>
</td>
<td>
<p>
15.78
</p>
</td>
<td>
<p>
43%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci23209
</p>
</td>
<td>
<p>
64.6412
</p>
</td>
<td>
<p>
15.47
</p>
</td>
<td>
<p>
44%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci44497
</p>
</td>
<td>
<p>
64.0205
</p>
</td>
<td>
<p>
15.62
</p>
</td>
<td>
<p>
43%
</p>
</td>
</tr>
<tr>
<td>
<p>
subtract_with_carry
</p>
</td>
<td>
<p>
92.7644
</p>
</td>
<td>
<p>
10.78
</p>
</td>
<td>
<p>
63%
</p>
</td>
</tr>
<tr>
<td>
<p>
subtract_with_carry_01
</p>
</td>
<td>
<p>
78.0031
</p>
</td>
<td>
<p>
12.82
</p>
</td>
<td>
<p>
53%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux3
</p>
</td>
<td>
<p>
9.86193
</p>
</td>
<td>
<p>
101.4
</p>
</td>
<td>
<p>
6%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux4
</p>
</td>
<td>
<p>
5.80754
</p>
</td>
<td>
<p>
172.19
</p>
</td>
<td>
<p>
3%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux3_01
</p>
</td>
<td>
<p>
7.15103
</p>
</td>
<td>
<p>
139.84
</p>
</td>
<td>
<p>
4%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux4_01
</p>
</td>
<td>
<p>
3.8345
</p>
</td>
<td>
<p>
260.79
</p>
</td>
<td>
<p>
2%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux64_3
</p>
</td>
<td>
<p>
9.10415
</p>
</td>
<td>
<p>
109.84
</p>
</td>
<td>
<p>
6%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux64_4
</p>
</td>
<td>
<p>
5.05919
</p>
</td>
<td>
<p>
197.66
</p>
</td>
<td>
<p>
3%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux64_3_01
</p>
</td>
<td>
<p>
6.12445
</p>
</td>
<td>
<p>
163.28
</p>
</td>
<td>
<p>
4%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux64_4_01
</p>
</td>
<td>
<p>
3.39167
</p>
</td>
<td>
<p>
294.84
</p>
</td>
<td>
<p>
2%
</p>
</td>
</tr>
<tr>
<td>
<p>
mt19937ar.c
</p>
</td>
<td>
<p>
125.471
</p>
</td>
<td>
<p>
7.97
</p>
</td>
<td>
<p>
86%
</p>
</td>
</tr>
</tbody>
</table></div>
</div>
<br class="table-break"><p>
Note that the lagged Fibonacci and ranlux_01 generators produce floating-point
numbers, whereas all others produce integers.
</p>
<div class="table">
<a name="boost_random.performance.distributions__linux_"></a><p class="title"><b>Table 16.9. Distributions (Linux)</b></p>
<div class="table-contents"><table class="table" summary="Distributions (Linux)">
<colgroup>
<col>
<col>
<col>
<col>
<col>
</colgroup>
<thead><tr>
<th>
<p>
[M rn/sec]
</p>
</th>
<th>
<p>
minstd_rand
</p>
</th>
<th>
<p>
kreutzer1986
</p>
</th>
<th>
<p>
mt19937
</p>
</th>
<th>
<p>
lagged_fibonacci607
</p>
</th>
</tr></thead>
<tbody>
<tr>
<td>
<p>
uniform_int
</p>
</td>
<td>
<p>
31.25
</p>
</td>
<td>
<p>
30.581
</p>
</td>
<td>
<p>
11.5607
</p>
</td>
<td>
<p>
16.0514
</p>
</td>
</tr>
<tr>
<td>
<p>
geometric
</p>
</td>
<td>
<p>
5.20833
</p>
</td>
<td>
<p>
6.66223
</p>
</td>
<td>
<p>
6.68449
</p>
</td>
<td>
<p>
6.73854
</p>
</td>
</tr>
<tr>
<td>
<p>
binomial
</p>
</td>
<td>
<p>
5.01505
</p>
</td>
<td>
<p>
21.7865
</p>
</td>
<td>
<p>
4.38982
</p>
</td>
<td>
<p>
10.9529
</p>
</td>
</tr>
<tr>
<td>
<p>
poisson
</p>
</td>
<td>
<p>
22.8311
</p>
</td>
<td>
<p>
22.1729
</p>
</td>
<td>
<p>
20.8768
</p>
</td>
<td>
<p>
24.3902
</p>
</td>
</tr>
<tr>
<td>
<p>
uniform_real
</p>
</td>
<td>
<p>
18.2815
</p>
</td>
<td>
<p>
84.0336
</p>
</td>
<td>
<p>
67.1141
</p>
</td>
<td>
<p>
72.4638
</p>
</td>
</tr>
<tr>
<td>
<p>
triangle
</p>
</td>
<td>
<p>
13.2802
</p>
</td>
<td>
<p>
33.4448
</p>
</td>
<td>
<p>
33.67
</p>
</td>
<td>
<p>
36.4964
</p>
</td>
</tr>
<tr>
<td>
<p>
exponential
</p>
</td>
<td>
<p>
6.19195
</p>
</td>
<td>
<p>
8.49618
</p>
</td>
<td>
<p>
8.2713
</p>
</td>
<td>
<p>
8.65052
</p>
</td>
</tr>
<tr>
<td>
<p>
normal polar
</p>
</td>
<td>
<p>
5.78369
</p>
</td>
<td>
<p>
6.56599
</p>
</td>
<td>
<p>
6.49773
</p>
</td>
<td>
<p>
6.48508
</p>
</td>
</tr>
<tr>
<td>
<p>
lognormal
</p>
</td>
<td>
<p>
4.13565
</p>
</td>
<td>
<p>
4.53515
</p>
</td>
<td>
<p>
4.51467
</p>
</td>
<td>
<p>
4.57875
</p>
</td>
</tr>
<tr>
<td>
<p>
cauchy
</p>
</td>
<td>
<p>
6.07533
</p>
</td>
<td>
<p>
7.92393
</p>
</td>
<td>
<p>
7.77605
</p>
</td>
<td>
<p>
8.35422
</p>
</td>
</tr>
<tr>
<td>
<p>
gamma
</p>
</td>
<td>
<p>
6.07533
</p>
</td>
<td>
<p>
7.92393
</p>
</td>
<td>
<p>
7.83085
</p>
</td>
<td>
<p>
8.34725
</p>
</td>
</tr>
<tr>
<td>
<p>
uniform_on_sphere
</p>
</td>
<td>
<p>
1.43472
</p>
</td>
<td>
<p>
1.62075
</p>
</td>
<td>
<p>
1.5625
</p>
</td>
<td>
<p>
1.5949
</p>
</td>
</tr>
</tbody>
</table></div>
</div>
<br class="table-break"><div class="table">
<a name="boost_random.performance.distributions__windows_"></a><p class="title"><b>Table 16.10. Distributions (Windows)</b></p>
<div class="table-contents"><table class="table" summary="Distributions (Windows)">
<colgroup>
<col>
<col>
<col>
<col>
<col>
</colgroup>
<thead><tr>
<th>
<p>
[M rn/sec]
</p>
</th>
<th>
<p>
minstd_rand
</p>
</th>
<th>
<p>
kreutzer1986
</p>
</th>
<th>
<p>
mt19937
</p>
</th>
<th>
<p>
lagged_fibonacci607
</p>
</th>
</tr></thead>
<tbody>
<tr>
<td>
<p>
uniform_int
</p>
</td>
<td>
<p>
14.7449
</p>
</td>
<td>
<p>
27.465
</p>
</td>
<td>
<p>
6.65292
</p>
</td>
<td>
<p>
28.5714
</p>
</td>
</tr>
<tr>
<td>
<p>
geometric
</p>
</td>
<td>
<p>
7.10328
</p>
</td>
<td>
<p>
5.53649
</p>
</td>
<td>
<p>
3.73622
</p>
</td>
<td>
<p>
9.38438
</p>
</td>
</tr>
<tr>
<td>
<p>
binomial
</p>
</td>
<td>
<p>
6.20155
</p>
</td>
<td>
<p>
5.78135
</p>
</td>
<td>
<p>
2.65118
</p>
</td>
<td>
<p>
4.65463
</p>
</td>
</tr>
<tr>
<td>
<p>
poisson
</p>
</td>
<td>
<p>
15.9617
</p>
</td>
<td>
<p>
8.77886
</p>
</td>
<td>
<p>
12.5486
</p>
</td>
<td>
<p>
17.9276
</p>
</td>
</tr>
<tr>
<td>
<p>
uniform_real
</p>
</td>
<td>
<p>
49.6032
</p>
</td>
<td>
<p>
27.1223
</p>
</td>
<td>
<p>
31.6857
</p>
</td>
<td>
<p>
60.35
</p>
</td>
</tr>
<tr>
<td>
<p>
triangle
</p>
</td>
<td>
<p>
21.3356
</p>
</td>
<td>
<p>
11.7
</p>
</td>
<td>
<p>
14.2857
</p>
</td>
<td>
<p>
22.3015
</p>
</td>
</tr>
<tr>
<td>
<p>
exponential
</p>
</td>
<td>
<p>
14.3493
</p>
</td>
<td>
<p>
6.05473
</p>
</td>
<td>
<p>
10.8472
</p>
</td>
<td>
<p>
12.982
</p>
</td>
</tr>
<tr>
<td>
<p>
normal polar
</p>
</td>
<td>
<p>
4.24394
</p>
</td>
<td>
<p>
2.75748
</p>
</td>
<td>
<p>
7.04871
</p>
</td>
<td>
<p>
6.09533
</p>
</td>
</tr>
<tr>
<td>
<p>
lognormal
</p>
</td>
<td>
<p>
3.30066
</p>
</td>
<td>
<p>
1.34822
</p>
</td>
<td>
<p>
5.36913
</p>
</td>
<td>
<p>
4.0024
</p>
</td>
</tr>
<tr>
<td>
<p>
cauchy
</p>
</td>
<td>
<p>
11.4286
</p>
</td>
<td>
<p>
2.92372
</p>
</td>
<td>
<p>
12.0525
</p>
</td>
<td>
<p>
7.55629
</p>
</td>
</tr>
<tr>
<td>
<p>
gamma
</p>
</td>
<td>
<p>
10.5263
</p>
</td>
<td>
<p>
3.72523
</p>
</td>
<td>
<p>
12.1433
</p>
</td>
<td>
<p>
5.87682
</p>
</td>
</tr>
<tr>
<td>
<p>
uniform_on_sphere
</p>
</td>
<td>
<p>
0.680874
</p>
</td>
<td>
<p>
0.38004
</p>
</td>
<td>
<p>
1.18737
</p>
</td>
<td>
<p>
0.486334
</p>
</td>
</tr>
</tbody>
</table></div>
</div>
<br class="table-break">
</div>
<table xmlns:rev="http://www.cs.rpi.edu/~gregod/boost/tools/doc/revision" width="100%"><tr>
<td align="left"></td>
<td align="right"><div class="copyright-footer">Copyright © 2000 -2005 Jens Maurer, 2009 Steven Watanabe<p>
Distributed under the Boost Software License, Version 1.0. (See accompanying
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>)
</p>
</div></td>
</tr></table>
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