1 | <html> |
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2 | |
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3 | <head> |
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4 | <meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1"> |
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5 | <title>Boost Random Number Library Performance</title> |
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6 | </head> |
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7 | |
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8 | <body bgcolor="#FFFFFF" text="#000000"> |
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9 | |
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10 | <h1>Random Number Library Performance</h1> |
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11 | |
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12 | For some people, performance of random number generation is an |
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13 | important consideration when choosing a random number generator or a |
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14 | particular distribution function. This page provides numerous |
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15 | performance tests with the wide variety of generators and |
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16 | distributions available in the boost library. |
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17 | <p> |
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18 | The performance has been evaluated on a Pentium Pro 200 MHz with gcc |
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19 | 2.95.2, Linux 2.2.13, glibc 2.1.2. The speed is reported in million |
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20 | random numbers per second (M rn/sec), generated in a tight loop. |
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21 | <p> |
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22 | |
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23 | |
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24 | <h2>Basic Generators</h2> |
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25 | |
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26 | <table border="1"> |
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27 | |
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28 | <tr> |
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29 | <th>generator</th> |
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30 | <th>M rn/sec</th> |
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31 | <th>time per random number [usec]</th> |
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32 | <th>relative speed compared to fastest [percent]</th> |
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33 | </tr> |
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34 | |
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35 | <tr> |
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36 | <td>rand48</td> |
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37 | <td>5.38</td> |
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38 | <td>0.183</td> |
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39 | <td>61%</td> |
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40 | </tr> |
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41 | |
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42 | <tr> |
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43 | <td>rand48 run-time configurable</td> |
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44 | <td>1.48</td> |
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45 | <td>0.677</td> |
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46 | <td>17%</td> |
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47 | </tr> |
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48 | |
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49 | <tr> |
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50 | <td>lrand48 glibc 2.1.2</td> |
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51 | <td>1.19</td> |
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52 | <td>0.843</td> |
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53 | <td>13%</td> |
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54 | </tr> |
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55 | |
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56 | <tr> |
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57 | <td>minstd_rand</td> |
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58 | <td>2.39</td> |
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59 | <td>0.318</td> |
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60 | <td>35%</td> |
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61 | </tr> |
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62 | |
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63 | <tr> |
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64 | <td>ecuyer1988</td> |
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65 | <td>1.12</td> |
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66 | <td>0.892</td> |
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67 | <td>13%</td> |
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68 | </tr> |
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69 | |
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70 | <tr> |
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71 | <td>kreutzer1986</td> |
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72 | <td>3.87</td> |
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73 | <td>0.258</td> |
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74 | <td>43%</td> |
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75 | </tr> |
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76 | |
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77 | <tr> |
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78 | <td>hellekalek1995 (inversive)</td> |
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79 | <td>0.20</td> |
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80 | <td>5.12</td> |
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81 | <td>2%</td> |
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82 | </tr> |
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83 | |
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84 | <tr> |
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85 | <td>mt11213b</td> |
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86 | <td>6.07</td> |
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87 | <td>0.165</td> |
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88 | <td>68%</td> |
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89 | </tr> |
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90 | |
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91 | <tr> |
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92 | <td>mt19937</td> |
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93 | <td>6.06</td> |
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94 | <td>0.165</td> |
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95 | <td>68%</td> |
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96 | </tr> |
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97 | |
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98 | <tr> |
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99 | <td>mt19937 original</td> |
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100 | <td>5.33</td> |
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101 | <td>0.188</td> |
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102 | <td>60%</td> |
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103 | </tr> |
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104 | |
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105 | <tr> |
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106 | <td>lagged_fibonacci607</td> |
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107 | <td>8.90</td> |
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108 | <td>0.112</td> |
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109 | <td>100%</td> |
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110 | </tr> |
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111 | |
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112 | <tr> |
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113 | <td>lagged_fibonacci4423</td> |
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114 | <td>8.54</td> |
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115 | <td>0.117</td> |
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116 | <td>96%</td> |
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117 | </tr> |
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118 | |
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119 | <tr> |
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120 | <td>lagged_fibonacci19937</td> |
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121 | <td>7.49</td> |
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122 | <td>0.133</td> |
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123 | <td>84%</td> |
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124 | </tr> |
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125 | |
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126 | <tr> |
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127 | <td>lagged_fibonacci23209</td> |
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128 | <td>6.63</td> |
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129 | <td>0.151</td> |
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130 | <td>74%</td> |
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131 | </tr> |
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132 | |
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133 | <tr> |
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134 | <td>lagged_fibonacci44497</td> |
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135 | <td>4.01</td> |
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136 | <td>0.250</td> |
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137 | <td>45%</td> |
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138 | </tr> |
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139 | |
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140 | </table> |
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141 | <p> |
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142 | Note that the lagged Fibonacci generators produce floating-point |
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143 | numbers, whereas all others produce integers. |
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144 | |
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145 | <h2>Distributions</h2> |
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146 | |
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147 | <table border="1"> |
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148 | |
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149 | <tr> |
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150 | <th>[M rn/sec]</th> |
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151 | <th>minstd_rand</th> |
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152 | <th>kreutzer1986</th> |
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153 | <th>mt19937</th> |
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154 | <th>lagged_fibonacci607</th> |
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155 | </tr> |
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156 | |
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157 | <tr> |
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158 | <th>uniform_smallint</th> |
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159 | <td>1.26</td> |
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160 | <td>1.55</td> |
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161 | <td>1.93</td> |
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162 | <td>-</td> |
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163 | </tr> |
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164 | |
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165 | <tr> |
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166 | <th>uniform_01</th> |
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167 | <td>1.79</td> |
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168 | <td>1.88</td> |
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169 | <td>3.03</td> |
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170 | <td>7.74</td> |
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171 | </tr> |
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172 | |
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173 | <tr> |
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174 | <th>uniform_real</th> |
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175 | <td>1.74</td> |
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176 | <td>1.56</td> |
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177 | <td>2.34</td> |
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178 | <td>6.62</td> |
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179 | </tr> |
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180 | |
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181 | <tr> |
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182 | <th>geometric</th> |
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183 | <td>0.593</td> |
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184 | <td>0.629</td> |
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185 | <td>0.753</td> |
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186 | <td>0.916</td> |
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187 | </tr> |
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188 | |
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189 | <tr> |
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190 | <th>triangle</th> |
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191 | <td>0.97</td> |
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192 | <td>1.02</td> |
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193 | <td>1.35</td> |
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194 | <td>1.31</td> |
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195 | </tr> |
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196 | |
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197 | <tr> |
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198 | <th>exponential</th> |
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199 | <td>0.849</td> |
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200 | <td>0.828</td> |
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201 | <td>0.887</td> |
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202 | <td>1.53</td> |
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203 | </tr> |
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204 | |
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205 | <tr> |
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206 | <th>normal (polar method)</th> |
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207 | <td>0.608</td> |
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208 | <td>0.626</td> |
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209 | <td>0.738</td> |
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210 | <td>0.755</td> |
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211 | </tr> |
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212 | |
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213 | <tr> |
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214 | <th>lognormal</th> |
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215 | <td>0.417</td> |
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216 | <td>0.442</td> |
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217 | <td>0.470</td> |
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218 | <td>0.481</td> |
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219 | </tr> |
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220 | |
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221 | <tr> |
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222 | <th>uniform_on_sphere</th> |
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223 | <td>0.154</td> |
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224 | <td>0.155</td> |
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225 | <td>0.174</td> |
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226 | <td>0.218</td> |
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227 | </tr> |
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228 | |
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229 | </table> |
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230 | <p> |
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231 | Note that the lagged Fibonacci generator is at least 2.5 times faster |
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232 | than the Mersenne twister when generating uniformly distributed |
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233 | floating-point numbers. For more sophisticated distributions, the |
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234 | speed improvement is less. Note however that these distributions have |
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235 | not been optimized for speed, yet. |
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236 | <p> |
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237 | <hr> |
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238 | Jens Maurer, 2001-04-15 |
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239 | |
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240 | </body> |
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241 | </html> |
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