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title="Built by Maven" class="poweredBy"><img class="builtBy" alt="Built by Maven" src="../../images/logos/maven-feather.png" /></a> + </div> </div> </div> - - - <div id="bodyColumn" class="span9" > - - <h1>HyperLogLogPlus</h1> + <div id="bodyColumn" class="span10" > +<!-- +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + +http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. +--> +<h1>HyperLogLogPlus</h1> <p><a name="HyperLogLogPlus"></a></p> <div class="section"> -<h2><a name="Preliminaries_-_Distinct_Value_cardinality_Estimation"></a>Preliminaries - Distinct Value (cardinality) Estimation</h2> +<h2><a name="Preliminaries_-_Distinct_Value_.28cardinality.29_Estimation"></a>Preliminaries - Distinct Value (cardinality) Estimation</h2> <p>Calculating the number of distinct values (DV) in a specific finite-sized list of values using brute force (e.g. a HashSet) techniques is fairly straight forward provided that linear scaling to your number of values fits within your memory constraints. For many cases, the simple calculation serves just fine. However, in many other instances the simple linear approach simply will not scale as well as we would like, and a more robust algorithm is desirable. Enter probabilistic distinct value estimation algorithms: k-minimum-values (KMV), LogLog, HyperLogLog (HLL), and most recently HyperLogLog++ (HLLP). As data volume grows it becomes impractical to store all values in memory in order to reasonably calculate set cardinality. This is where probabilistic estimation algorithms become extremely useful. Often, we are happy to trade a handful of memory and better performance in exchange for an inexact, yet reasonably close approximation of the actual cardinality.</p></div> <div class="section"> <h2><a name="The_Case_For_An_Improvement"></a>The Case For An Improvement</h2> @@ -239,31 +114,30 @@ <h3><a name="Overview"></a>Overview</h3> <p>Below is a table detailing the performance characteristics when running HLLP over multiple data set sizes. There are three primary variables manipulated during the test: cardinality, sparse set precision, and normal set precision. Each of these values will have an impact on error rates, execution time, and total memory consumption.</p></div> <div class="section"> -<h3><a name="Choosing_p_sp"></a>Choosing p, sp</h3> +<h3><a name="Choosing_p.2C_sp"></a>Choosing p, sp</h3> <p>There is a tradeoff when choosing values for p and sp. A higher value for sp means a lower error rate for instances when the sparse set is being used. However, a higher value for sp also requires more memory, which means the algorithm will cut over to the dense representation more quickly. The Google paper (listed above) recommends settings of p=25, sp=14 for optimal memory use and algorithm accuracy, and these are the defaults provided by the Apache Metron implementation in Stellar. You’ll notice in the tests below, memory consumption tops out around 12KB for this setting, regardless of cardinality size.</p></div> <div class="section"> -<h3><a name="Key"></a>Key</h3> -<hr /> +<h3><a name="Key"></a>Key</h3><hr /> -<div class="source"> -<div class="source"> -<pre>card: cardinality<br> +<div> +<div> +<pre class="source">card: cardinality<br> sp: sparse precision value<br> p: normal (dense) precision value<br> err: error as a percent of the expected cardinality<br> time: total time to add values to the hllp estimator and calculate a cardinality estimate<br> size: size of the hllp set in bytes once all values have been added for the specified cardinality<br> l=low, m=mid(based on percentile chosen), h=high, std=standard deviation<br> -</pre></div></div></div> +</pre></div></div> +</div> <div class="section"> -<h3><a name="Table_Cardinality_200-1000_step_by_200"></a>Table Cardinality 200-1000, step by 200</h3> -<hr /> +<h3><a name="Table_Cardinality_200-1000.2C_step_by_200"></a>Table Cardinality 200-1000, step by 200</h3><hr /> <div class="section"> <h4><a name="Options_Used"></a>Options Used</h4> -<div class="source"> -<div class="source"> -<pre>num trials: 5000 +<div> +<div> +<pre class="source">num trials: 5000 card min: 200 card max: 1000 card step: 200 @@ -278,2735 +152,1288 @@ format err as %: true </pre></div></div> <table border="0" class="table table-striped"> - <thead> - -<tr class="a"> - -<th>card </th> - -<th>sp </th> - -<th>p </th> - -<th>err l/m/h/std (% of actual) </th> - -<th>time l/m/h/std (ms) </th> - -<th>size l/m/h/std (b) </th> - </tr> - </thead> - <tbody> - -<tr class="b"> - -<td>200 </td> - -<td>4 </td> - -<td>4 </td> - -<td>0.000 / 17.000 / 180.000 / 17.470 </td> - -<td>0.070 / 0.118 / 10.092 / 0.204 </td> - -<td>218 / 220 / 220 / 1 </td> - </tr> - -<tr class="a"> - -<td>200 </td> - -<td>8 </td> - -<td>4 </td> - -<td>0.000 / 17.000 / 209.500 / 18.060 </td> - -<td>0.071 / 0.085 / 8.786 / 0.128 </td> - -<td>219 / 221 / 221 / 1 </td> - </tr> - -<tr class="b"> - -<td>200 </td> - -<td>8 </td> - -<td>8 </td> - -<td>0.000 / 3.500 / 21.500 / 3.185 </td> - -<td>0.082 / 0.085 / 8.375 / 0.119 </td> - -<td>531 / 587 / 637 / 14 </td> - </tr> - -<tr class="a"> - -<td>200 </td> - -<td>12 </td> - -<td>4 </td> - -<td>0.000 / 17.000 / 174.000 / 17.376 </td> - -<td>0.070 / 0.085 / 8.708 / 0.128 </td> - -<td>219 / 221 / 221 / 1 </td> - </tr> - -<tr class="b"> - -<td>200 </td> - -<td>12 </td> - -<td>8 </td> - -<td>0.000 / 3.000 / 25.500 / 2.847 </td> - -<td>0.086 / 0.119 / 8.984 / 0.151 </td> - -<td>353 / 372 / 627 / 74 </td> - </tr> - -<tr class="a"> - -<td>200 </td> - -<td>12 </td> - -<td>12 </td> - -<td>0.000 / 0.500 / 5.500 / 0.659 </td> - -<td>0.082 / 0.096 / 17.208 / 0.243 </td> - -<td>775 / 816 / 834 / 9 </td> - </tr> - -<tr class="b"> - -<td>200 </td> - -<td>16 </td> - -<td>4 </td> - -<td>0.000 / 17.500 / 172.000 / 16.622 </td> - -<td>0.068 / 0.075 / 9.553 / 0.137 </td> - -<td>220 / 222 / 222 / 1 </td> - </tr> - -<tr class="a"> - -<td>200 </td> - -<td>16 </td> - -<td>8 </td> - -<td>0.000 / 3.500 / 18.000 / 2.899 </td> - -<td>0.095 / 0.118 / 0.663 / 0.031 </td> - -<td>354 / 373 / 390 / 5 </td> - </tr> - -<tr class="b"> - -<td>200 </td> - -<td>16 </td> - -<td>12 </td> - -<td>0.000 / 0.000 / 1.500 / 0.276 </td> - -<td>0.085 / 0.108 / 13.977 / 0.199 </td> - -<td>802 / 833 / 852 / 6 </td> - </tr> - -<tr class="a"> - -<td>200 </td> - -<td>16 </td> - -<td>16 </td> - -<td>0.000 / 0.000 / 2.500 / 0.279 </td> - -<td>0.079 / 0.085 / 0.271 / 0.017 </td> - -<td>990 / 1027 / 1044 / 6 </td> - </tr> - -<tr class="b"> - -<td>200 </td> - -<td>20 </td> - -<td>4 </td> - -<td>0.000 / 17.000 / 209.500 / 17.424 </td> - -<td>0.068 / 0.072 / 0.250 / 0.014 </td> - -<td>221 / 223 / 223 / 1 </td> - </tr> - -<tr class="a"> - -<td>200 </td> - -<td>20 </td> - -<td>8 </td> - -<td>0.000 / 3.500 / 18.000 / 2.944 </td> - -<td>0.096 / 0.106 / 13.581 / 0.192 </td> - -<td>357 / 374 / 388 / 5 </td> - </tr> - -<tr class="b"> - -<td>200 </td> - -<td>20 </td> - -<td>12 </td> - -<td>0.000 / 0.000 / 1.000 / 0.066 </td> - -<td>0.084 / 0.088 / 1.096 / 0.019 </td> - -<td>915 / 945 / 972 / 8 </td> - </tr> - -<tr class="a"> - -<td>200 </td> - -<td>20 </td> - -<td>16 </td> - -<td>0.000 / 0.000 / 0.500 / 0.070 </td> - -<td>0.083 / 0.087 / 10.272 / 0.145 </td> - -<td>912 / 953 / 982 / 8 </td> - </tr> - -<tr class="b"> - -<td>200 </td> - -<td>20 </td> - -<td>20 </td> - -<td>0.000 / 0.000 / 1.000 / 0.069 </td> - -<td>0.079 / 0.081 / 0.210 / 0.017 </td> - -<td>1028 / 1056 / 1058 / 2 </td> - </tr> - -<tr class="a"> - -<td>200 </td> - -<td>24 </td> - -<td>4 </td> - -<td>0.000 / 17.500 / 136.000 / 16.589 </td> - -<td>0.068 / 0.071 / 0.952 / 0.025 </td> - -<td>221 / 223 / 223 / 1 </td> - </tr> - -<tr class="b"> - -<td>200 </td> - -<td>24 </td> - -<td>8 </td> - -<td>0.000 / 3.500 / 18.000 / 2.955 </td> - -<td>0.095 / 0.106 / 10.387 / 0.148 </td> - -<td>353 / 373 / 390 / 5 </td> - </tr> - -<tr class="a"> - -<td>200 </td> - -<td>24 </td> - -<td>12 </td> - -<td>0.000 / 0.000 / 0.500 / 0.016 </td> - -<td>0.082 / 0.083 / 0.235 / 0.014 </td> - -<td>1035 / 1048 / 1056 / 3 </td> - </tr> - -<tr class="b"> - -<td>200 </td> - -<td>24 </td> - -<td>16 </td> - -<td>0.000 / 0.000 / 0.500 / 0.012 </td> - -<td>0.082 / 0.084 / 10.904 / 0.154 </td> - -<td>1038 / 1051 / 1059 / 3 </td> - </tr> - -<tr class="a"> - -<td>200 </td> - -<td>24 </td> - -<td>20 </td> - -<td>0.000 / 0.000 / 0.500 / 0.010 </td> - -<td>0.082 / 0.085 / 0.410 / 0.019 </td> - -<td>1049 / 1064 / 1082 / 5 </td> - </tr> - -<tr class="b"> - -<td>200 </td> - -<td>24 </td> - -<td>24 </td> - -<td>0.000 / 0.000 / 0.500 / 0.023 </td> - -<td>0.079 / 0.084 / 11.926 / 0.168 </td> - -<td>1247 / 1264 / 1275 / 4 </td> - </tr> - -<tr class="a"> - -<td>200 </td> - -<td>28 </td> - -<td>4 </td> - -<td>0.000 / 17.500 / 229.000 / 17.294 </td> - -<td>0.068 / 0.072 / 0.369 / 0.015 </td> - -<td>222 / 224 / 224 / 1 </td> - </tr> - -<tr class="b"> - -<td>200 </td> - -<td>28 </td> - -<td>8 </td> - -<td>83.000 / 83.000 / 84.000 / 0.118 </td> - -<td>0.093 / 0.098 / 10.918 / 0.157 </td> - -<td>272 / 276 / 278 / 1 </td> - </tr> - -<tr class="a"> - -<td>200 </td> - -<td>28 </td> - -<td>12 </td> - -<td>0.000 / 0.000 / 0.500 / 0.016 </td> - -<td>0.082 / 0.083 / 10.157 / 0.143 </td> - -<td>1032 / 1067 / 1075 / 3 </td> - </tr> - -<tr class="b"> - -<td>200 </td> - -<td>28 </td> - -<td>16 </td> - -<td>0.000 / 0.000 / 0.500 / 0.007 </td> - -<td>0.082 / 0.083 / 0.617 / 0.020 </td> - -<td>1058 / 1069 / 1077 / 3 </td> - </tr> - -<tr class="a"> - -<td>200 </td> - -<td>28 </td> - -<td>20 </td> - -<td>0.000 / 0.000 / 0.500 / 0.010 </td> - -<td>0.082 / 0.085 / 11.619 / 0.165 </td> - -<td>1060 / 1071 / 1080 / 3 </td> - </tr> - -<tr class="b"> - -<td>200 </td> - -<td>28 </td> - -<td>24 </td> - -<td>0.000 / 0.000 / 0.500 / 0.007 </td> - -<td>0.083 / 0.085 / 0.516 / 0.022 </td> - -<td>1065 / 1083 / 1100 / 4 </td> - </tr> - -<tr class="a"> - -<td>200 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16.987 / 0.335 </td> - -<td>4517 / 4641 / 4651 / 5 </td> - </tr> - -<tr class="a"> - -<td>1000 </td> - -<td>24 </td> - -<td>4 </td> - -<td>0.000 / 17.600 / 226.700 / 17.761 </td> - -<td>0.339 / 0.351 / 12.804 / 0.275 </td> - -<td>222 / 223 / 223 / 0 </td> - </tr> - -<tr class="b"> - -<td>1000 </td> - -<td>24 </td> - -<td>8 </td> - -<td>0.000 / 3.800 / 24.100 / 3.403 </td> - -<td>0.371 / 0.406 / 15.710 / 0.298 </td> - -<td>390 / 400 / 412 / 3 </td> - </tr> - -<tr class="a"> - -<td>1000 </td> - -<td>24 </td> - -<td>12 </td> - -<td>0.000 / 0.000 / 0.200 / 0.018 </td> - -<td>0.417 / 0.449 / 12.253 / 0.294 </td> - -<td>4494 / 4614 / 4636 / 7 </td> - </tr> - -<tr class="b"> - -<td>1000 </td> - -<td>24 </td> - -<td>16 </td> - -<td>0.000 / 0.000 / 0.100 / 0.018 </td> - -<td>0.417 / 0.434 / 11.046 / 0.254 </td> - -<td>4594 / 4620 / 4641 / 7 </td> - </tr> - -<tr class="a"> - -<td>1000 </td> - -<td>24 </td> - -<td>20 </td> - -<td>0.000 / 0.000 / 0.200 / 0.019 </td> - -<td>0.422 / 0.458 / 13.433 / 0.270 </td> - -<td>4645 / 4682 / 4722 / 11 </td> - </tr> - -<tr class="b"> - -<td>1000 </td> - -<td>24 </td> - -<td>24 </td> - -<td>0.000 / 0.000 / 0.200 / 0.016 </td> - -<td>0.405 / 0.435 / 11.470 / 0.189 </td> - -<td>5635 / 5672 / 5703 / 9 </td> - </tr> - -<tr class="a"> - -<td>1000 </td> - -<td>28 </td> - -<td>4 </td> - -<td>0.000 / 17.200 / 148.500 / 17.046 </td> - -<td>0.338 / 0.363 / 20.446 / 0.380 </td> - -<td>224 / 224 / 224 / 0 </td> - </tr> - -<tr class="b"> - -<td>1000 </td> - -<td>28 </td> - -<td>8 </td> - -<td>0.000 / 15.100 / 30.700 / 4.794 </td> - -<td>0.371 / 0.389 / 18.272 / 0.359 </td> - -<td>390 / 400 / 411 / 3 </td> - </tr> - -<tr class="a"> - -<td>1000 </td> - -<td>28 </td> - -<td>12 </td> - -<td>0.000 / 0.000 / 0.100 / 0.013 </td> - -<td>0.417 / 0.432 / 13.575 / 0.264 </td> - -<td>4677 / 4700 / 4719 / 6 </td> - </tr> - -<tr class="b"> - -<td>1000 </td> - -<td>28 </td> - -<td>16 </td> - -<td>0.000 / 0.000 / 0.200 / 0.013 </td> - -<td>0.417 / 0.435 / 18.060 / 0.381 </td> - -<td>4545 / 4702 / 4723 / 6 </td> - </tr> - -<tr class="a"> - -<td>1000 </td> - -<td>28 </td> - -<td>20 </td> - -<td>0.000 / 0.000 / 0.200 / 0.013 </td> - -<td>0.417 / 0.448 / 17.596 / 0.344 </td> - -<td>4679 / 4707 / 4728 / 6 </td> - </tr> - -<tr class="b"> - -<td>1000 </td> - -<td>28 </td> - -<td>24 </td> - -<td>0.000 / 0.000 / 0.200 / 0.012 </td> - -<td>0.421 / 0.454 / 13.807 / 0.297 </td> - -<td>4733 / 4764 / 4801 / 10 </td> - </tr> - -<tr class="a"> - -<td>1000 </td> - -<td>28 </td> - -<td>28 </td> - -<td>0.000 / 0.000 / 0.200 / 0.013 </td> - -<td>0.406 / 0.456 / 20.533 / 0.353 </td> - -<td>5646 / 5675 / 5704 / 9 </td> - </tr> - -<tr class="b"> - -<td>1000 </td> - -<td>32 </td> - -<td>4 </td> - -<td>0.000 / 18.150 / 177.600 / 19.537 </td> - -<td>0.338 / 0.352 / 12.293 / 0.252 </td> - -<td>223 / 224 / 224 / 0 </td> - </tr> - -<tr class="a"> - -<td>1000 </td> - -<td>32 </td> - -<td>8 </td> - -<td>1.500 / 22.100 / 35.100 / 4.399 </td> - -<td>0.371 / 0.407 / 17.782 / 0.386 </td> - -<td>388 / 398 / 412 / 3 </td> - </tr> - -<tr class="b"> - -<td>1000 </td> - -<td>32 </td> - -<td>12 </td> - -<td>0.000 / 0.000 / 0.200 / 0.011 </td> - -<td>0.417 / 0.435 / 11.830 / 0.247 </td> - -<td>4698 / 4717 / 4730 / 5 </td> - </tr> - -<tr class="a"> - -<td>1000 </td> - -<td>32 </td> - -<td>16 </td> - -<td>0.000 / 0.000 / 0.200 / 0.013 </td> - -<td>0.417 / 0.443 / 18.214 / 0.276 </td> - -<td>4700 / 4719 / 4733 / 5 </td> - </tr> - -<tr class="b"> - -<td>1000 </td> - -<td>32 </td> - -<td>20 </td> - -<td>0.000 / 0.000 / 0.200 / 0.012 </td> - -<td>0.417 / 0.437 / 11.208 / 0.232 </td> - -<td>4703 / 4720 / 4737 / 5 </td> - </tr> - -<tr class="a"> - -<td>1000 </td> - -<td>32 </td> - -<td>24 </td> - -<td>0.000 / 0.000 / 0.200 / 0.013 </td> - -<td>0.417 / 0.448 / 18.288 / 0.405 </td> - -<td>4706 / 4724 / 4740 / 5 </td> - </tr> - -<tr class="b"> - -<td>1000 </td> - -<td>32 </td> - -<td>28 </td> - -<td>0.000 / 0.000 / 0.200 / 0.011 </td> - -<td>0.420 / 0.437 / 13.389 / 0.245 </td> - -<td>4613 / 4782 / 4814 / 9 </td> - </tr> - -<tr class="a"> - -<td>1000 </td> - -<td>32 </td> - -<td>32 </td> - -<td>0.000 / 0.000 / 0.100 / 0.012 </td> - -<td>0.406 / 0.424 / 12.513 / 0.232 </td> - -<td>5641 / 5675 / 5704 / 9 </td> - </tr> - </tbody> +<thead> + +<tr class="a"> +<th>card </th> +<th>sp </th> +<th>p </th> +<th>err l/m/h/std (% of actual) </th> +<th>time l/m/h/std (ms) </th> +<th>size l/m/h/std (b) </th></tr> +</thead><tbody> + +<tr class="b"> +<td>200 </td> +<td>4 </td> +<td>4 </td> +<td>0.000 / 17.000 / 180.000 / 17.470 </td> +<td>0.070 / 0.118 / 10.092 / 0.204 </td> +<td>218 / 220 / 220 / 1 </td></tr> +<tr class="a"> +<td>200 </td> +<td>8 </td> +<td>4 </td> +<td>0.000 / 17.000 / 209.500 / 18.060 </td> +<td>0.071 / 0.085 / 8.786 / 0.128 </td> +<td>219 / 221 / 221 / 1 </td></tr> +<tr class="b"> +<td>200 </td> +<td>8 </td> +<td>8 </td> +<td>0.000 / 3.500 / 21.500 / 3.185 </td> +<td>0.082 / 0.085 / 8.375 / 0.119 </td> +<td>531 / 587 / 637 / 14 </td></tr> +<tr class="a"> 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13.977 / 0.199 </td> +<td>802 / 833 / 852 / 6 </td></tr> +<tr class="a"> +<td>200 </td> +<td>16 </td> +<td>16 </td> +<td>0.000 / 0.000 / 2.500 / 0.279 </td> +<td>0.079 / 0.085 / 0.271 / 0.017 </td> +<td>990 / 1027 / 1044 / 6 </td></tr> +<tr class="b"> +<td>200 </td> +<td>20 </td> +<td>4 </td> +<td>0.000 / 17.000 / 209.500 / 17.424 </td> +<td>0.068 / 0.072 / 0.250 / 0.014 </td> +<td>221 / 223 / 223 / 1 </td></tr> +<tr class="a"> +<td>200 </td> +<td>20 </td> +<td>8 </td> +<td>0.000 / 3.500 / 18.000 / 2.944 </td> +<td>0.096 / 0.106 / 13.581 / 0.192 </td> +<td>357 / 374 / 388 / 5 </td></tr> +<tr class="b"> +<td>200 </td> +<td>20 </td> +<td>12 </td> +<td>0.000 / 0.000 / 1.000 / 0.066 </td> +<td>0.084 / 0.088 / 1.096 / 0.019 </td> +<td>915 / 945 / 972 / 8 </td></tr> +<tr class="a"> +<td>200 </td> +<td>20 </td> +<td>16 </td> +<td>0.000 / 0.000 / 0.500 / 0.070 </td> +<td>0.083 / 0.087 / 10.272 / 0.145 </td> +<td>912 / 953 / 982 / 8 </td></tr> +<tr class="b"> +<td>200 </td> +<td>20 </td> 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/ 1075 / 2 </td></tr> +<tr class="a"> +<td>200 </td> +<td>32 </td> +<td>16 </td> +<td>0.000 / 0.000 / 0.500 / 0.010 </td> +<td>0.082 / 0.085 / 1.458 / 0.027 </td> +<td>1061 / 1073 / 1077 / 2 </td></tr> +<tr class="b"> +<td>200 </td> +<td>32 </td> +<td>20 </td> +<td>0.000 / 0.000 / 0.500 / 0.012 </td> +<td>0.082 / 0.084 / 10.499 / 0.148 </td> +<td>1065 / 1074 / 1079 / 2 </td></tr> +<tr class="a"> +<td>200 </td> +<td>32 </td> +<td>24 </td> +<td>0.000 / 0.000 / 0.500 / 0.012 </td> +<td>0.082 / 0.085 / 0.420 / 0.020 </td> +<td>1066 / 1075 / 1082 / 2 </td></tr> +<tr class="b"> +<td>200 </td> +<td>32 </td> +<td>28 </td> +<td>0.000 / 0.000 / 0.500 / 0.016 </td> +<td>0.082 / 0.086 / 8.753 / 0.124 </td> +<td>1076 / 1088 / 1102 / 4 </td></tr> +<tr class="a"> +<td>200 </td> +<td>32 </td> +<td>32 </td> +<td>0.000 / 0.000 / 0.500 / 0.010 </td> +<td>0.080 / 0.081 / 13.248 / 0.188 </td> +<td>1249 / 1268 / 1279 / 4 </td></tr> +<tr class="b"> +<td>400 </td> +<td>4 </td> +<td>4 </td> +<td>0.000 / 17.500 / 175.250 / 17.530 </td> +<td>0.136 / 0.142 / 0.591 / 0.035 </td> +<td>218 / 220 / 220 / 0 </td></tr> +<tr class="a"> +<td>400 </td> +<td>8 </td> +<td>4 </td> +<td>0.000 / 17.000 / 148.500 / 17.174 </td> +<td>0.136 / 0.156 / 12.882 / 0.241 </td> +<td>219 / 221 / 221 / 0 </td></tr> +<tr class="b"> +<td>400 </td> +<td>8 </td> +<td>8 </td> +<td>0.000 / 3.500 / 21.250 / 3.215 </td> +<td>0.159 / 0.186 / 10.396 / 0.151 </td> +<td>375 / 387 / 802 / 62 </td></tr> +<tr class="a"> +<td>400 </td> +<td>12 </td> +<td>4 </td> +<td>0.000 / 17.750 / 166.000 / 17.363 </td> +<td>0.135 / 0.142 / 11.607 / 0.165 </td> +<td>219 / 221 / 221 / 0 </td></tr> +<tr class="b"> +<td>400 </td> +<td>12 </td> +<td>8 </td> +<td>0.000 / 3.250 / 23.750 / 3.133 </td> +<td>0.166 / 0.179 / 8.713 / 0.130 </td> +<td>376 / 387 / 401 / 3 </td></tr> +<tr class="a"> +<td>400 </td> +<td>12 </td> +<td>12 </td> +<td>0.000 / 0.750 / 4.250 / 0.706 </td> +<td>0.159 / 0.163 / 10.537 / 0.189 </td> +<td>1334 / 1387 / 1434 / 14 </td></tr> 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+<td>0.165 / 0.183 / 9.271 / 0.139 </td> +<td>379 / 389 / 398 / 3 </td></tr> +<tr class="b"> +<td>400 </td> +<td>20 </td> +<td>12 </td> +<td>0.000 / 0.000 / 0.500 / 0.066 </td> +<td>0.164 / 0.182 / 11.093 / 0.162 </td> +<td>1617 / 1652 / 1683 / 10 </td></tr> +<tr class="a"> +<td>400 </td> +<td>20 </td> +<td>16 </td> +<td>0.000 / 0.000 / 0.500 / 0.070 </td> +<td>0.166 / 0.170 / 8.676 / 0.128 </td> +<td>1624 / 1665 / 1706 / 10 </td></tr> +<tr class="b"> +<td>400 </td> +<td>20 </td> +<td>20 </td> +<td>0.000 / 0.000 / 0.750 / 0.069 </td> +<td>0.159 / 0.162 / 12.846 / 0.183 </td> +<td>1840 / 1853 / 1856 / 2 </td></tr> +<tr class="a"> +<td>400 </td> +<td>24 </td> +<td>4 </td> +<td>0.000 / 16.750 / 174.750 / 16.786 </td> +<td>0.135 / 0.145 / 8.586 / 0.128 </td> +<td>221 / 223 / 223 / 0 </td></tr> +<tr class="b"> +<td>400 </td> +<td>24 </td> +<td>8 </td> +<td>0.000 / 3.500 / 24.500 / 3.090 </td> +<td>0.165 / 0.179 / 11.344 / 0.164 </td> +<td>377 / 389 / 399 / 3 </td></tr> +<tr class="a"> +<td>400 </td> +<td>24 </td> +<td>12 </td> +<td>0.000 / 0.000 / 0.250 / 0.016 </td> +<td>0.164 / 0.183 / 10.708 / 0.159 </td> +<td>1828 / 1841 / 1852 / 4 </td></tr> +<tr class="b"> +<td>400 </td> +<td>24 </td> +<td>16 </td> +<td>0.000 / 0.000 / 0.250 / 0.017 </td> +<td>0.164 / 0.172 / 11.180 / 0.161 </td> +<td>1830 / 1844 / 1855 / 4 </td></tr> +<tr class="a"> +<td>400 </td> +<td>24 </td> +<td>20 </td> +<td>0.000 / 0.000 / 0.250 / 0.015 </td> +<td>0.166 / 0.170 / 9.589 / 0.140 </td> +<td>1843 / 1868 / 1890 / 6 </td></tr> +<tr class="b"> +<td>400 </td> +<td>24 </td> +<td>24 </td> +<td>0.000 / 0.000 / 0.250 / 0.022 </td> +<td>0.160 / 0.162 / 9.137 / 0.134 </td> +<td>2213 / 2232 / 2247 / 5 </td></tr> +<tr class="a"> +<td>400 </td> +<td>28 </td> +<td>4 </td> +<td>0.000 / 18.250 / 164.000 / 16.587 </td> +<td>0.135 / 0.144 / 14.520 / 0.209 </td> +<td>222 / 224 / 224 / 0 </td></tr> +<tr class="b"> +<td>400 </td> +<td>28 </td> +<td>8 </td> +<td>33.000 / 47.750 / 56.750 / 3.588 </td> +<td>0.164 / 0.168 / 1.305 / 0.052 </td> +<td>355 / 375 / 394 / 5 </td></tr> +<tr class="a"> +<td>400 </td> +<td>28 </td> +<td>12 </td> +<td>0.000 / 0.000 / 0.250 / 0.006 </td> +<td>0.165 / 0.178 / 11.264 / 0.167 </td> +<td>1837 / 1848 / 1854 / 3 </td></tr> +<tr class="b"> +<td>400 </td> +<td>28 </td> +<td>16 </td> +<td>0.000 / 0.000 / 0.250 / 0.014 </td> +<td>0.164 / 0.167 / 8.689 / 0.130 </td> +<td>1838 / 1850 / 1857 / 3 </td></tr> +<tr class="a"> +<td>400 </td> +<td>28 </td> +<td>20 </td> +<td>0.000 / 0.000 / 0.250 / 0.011 </td> +<td>0.164 / 0.167 / 10.679 / 0.159 </td> +<td>1839 / 1852 / 1863 / 3 </td></tr> +<tr class="b"> +<td>400 </td> +<td>28 </td> +<td>24 </td> +<td>0.000 / 0.000 / 0.250 / 0.011 </td> +<td>0.166 / 0.175 / 12.887 / 0.190 </td> +<td>1857 / 1875 / 1896 / 5 </td></tr> +<tr class="a"> +<td>400 </td> +<td>28 </td> +<td>28 </td> +<td>0.000 / 0.000 / 0.250 / 0.015 </td> +<td>0.160 / 0.196 / 1.478 / 0.071 </td> +<td>2217 / 2235 / 2252 / 5 </td></tr> +<tr class="b"> +<td>400 </td> +<td>32 </td> +<td>4 </td> +<td>0.000 / 17.500 / 183.750 / 19.308 </td> +<td>0.135 / 0.142 / 9.949 / 0.148 </td> +<td>222 / 224 / 224 / 0 </td></tr> +<tr class="a"> +<td>400 </td> +<td>32 </td> +<td>8 </td> +<td>46.500 / 56.250 / 63.250 / 2.194 </td> +<td>0.164 / 0.181 / 1.209 / 0.063 </td> +<td>349 / 370 / 390 / 5 </td></tr> +<tr class="b"> +<td>400 </td> +<td>32 </td> +<td>12 </td> +<td>0.000 / 0.000 / 0.250 / 0.012 </td> +<td>0.164 / 0.171 / 11.529 / 0.170 </td> +<td>1837 / 1848 / 1854 / 3 </td></tr> +<tr class="a"> +<td>400 </td> +<td>32 </td> +<td>16 </td> +<td>0.000 / 0.000 / 0.250 / 0.016 </td> +<td>0.164 / 0.167 / 10.276 / 0.154 </td> +<td>1836 / 1850 / 1856 / 3 </td></tr> +<tr class="b"> +<td>400 </td> +<td>32 </td> +<td>20 </td> +<td>0.000 / 0.000 / 0.250 / 0.015 </td> +<td>0.164 / 0.184 / 11.611 / 0.227 </td> +<td>1839 / 1851 / 1858 / 3 </td></tr> +<tr class="a"> +<td>400 </td> +<td>32 </td> +<td>24 </td> +<td>0.000 / 0.000 / 0.250 / 0.012 </td> +<td>0.165 / 0.171 / 9.313 / 0.143 </td> +<td>1842 / 1853 / 1862 / 3 </td></tr> +<tr class="b"> +<td>400 </td> +<td>32 </td> +<td>28 </td> +<td>0.000 / 0.000 / 0.250 / 0.013 </td> +<td>0.166 / 0.180 / 10.708 / 0.162 </td> +<td>1860 / 1877 / 1900 / 5 </td></tr> +<tr class="a"> +<td>400 </td> +<td>32 </td> +<td>32 </td> +<td>0.000 / 0.000 / 0.250 / 0.014 </td> +<td>0.160 / 0.166 / 1.205 / 0.057 </td> +<td>2217 / 2235 / 2249 / 5 </td></tr> +<tr class="b"> +<td>600 </td> +<td>4 </td> +<td>4 </td> +<td>0.000 / 17.333 / 219.667 / 17.222 </td> +<td>0.202 / 0.240 / 13.390 / 0.237 </td> +<td>218 / 220 / 220 / 0 </td></tr> +<tr class="a"> +<td>600 </td> +<td>8 </td> +<td>4 </td> +<td>0.000 / 17.417 / 231.333 / 17.340 </td> +<td>0.202 / 0.224 / 9.662 / 0.150 </td> +<td>220 / 221 / 221 / 0 </td></tr> +<tr class="b"> +<td>600 </td> +<td>8 </td> +<td>8 </td> +<td>0.000 / 3.500 / 24.333 / 3.240 </td> +<td>0.234 / 0.271 / 11.443 / 0.216 </td> +<td>382 / 392 / 403 / 3 </td></tr> +<tr class="a"> +<td>600 </td> +<td>12 </td> +<td>4 </td> +<td>0.000 / 17.167 / 188.167 / 17.324 </td> +<td>0.202 / 0.210 / 1.320 / 0.055 </td> +<td>219 / 221 / 221 / 0 </td></tr> +<tr class="b"> +<td>600 </td> +<td>12 </td> +<td>8 </td> +<td>0.000 / 3.500 / 23.833 / 3.243 </td> +<td>0.235 / 0.246 / 10.821 / 0.164 </td> +<td>382 / 392 / 403 / 3 </td></tr> +<tr class="a"> +<td>600 </td> +<td>12 </td> +<td>12 </td> +<td>0.000 / 0.667 / 4.500 / 0.694 </td> +<td>0.240 / 0.259 / 12.004 / 0.183 </td> +<td>2015 / 2101 / 2178 / 21 </td></tr> +<tr class="b"> +<td>600 </td> +<td>16 </td> +<td>4 </td> +<td>0.000 / 17.500 / 170.000 / 17.882 </td> +<td>0.202 / 0.218 / 9.208 / 0.140 </td> +<td>221 / 222 / 222 / 0 </td></tr> +<tr class="a"> +<td>600 </td> +<td>16 </td> +<td>8 </td> +<td>0.000 / 3.667 / 22.667 / 3.276 </td> +<td>0.234 / 0.251 / 12.301 / 0.237 </td> +<td>383 / 393 / 408 / 3 </td></tr> +<tr class="b"> +<td>600 </td> +<td>16 </td> +<td>12 </td> +<td>0.000 / 0.167 / 1.000 / 0.170 </td> +<td>0.250 / 0.284 / 12.000 / 0.180 </td> +<td>2199 / 2243 / 2282 / 12 </td></tr> +<tr class="a"> +<td>600 </td> +<td>16 </td> +<td>16 </td> +<td>0.000 / 0.167 / 1.167 / 0.171 </td> +<td>0.239 / 0.291 / 21.163 / 0.333 </td> +<td>2811 / 2859 / 2901 / 13 </td></tr> +<tr class="b"> +<td>600 </td> +<td>20 </td> +<td>4 </td> +<td>0.000 / 17.667 / 176.667 / 18.162 </td> +<td>0.202 / 0.223 / 16.405 / 0.275 </td> +<td>221 / 223 / 223 / 0 </td></tr> +<tr class="a"> +<td>600 </td> +<td>20 </td> +<td>8 </td> +<td>0.000 / 3.500 / 20.833 / 3.180 </td> +<td>0.234 / 0.243 / 5.621 / 0.104 </td> +<td>385 / 394 / 405 / 3 </td></tr> +<tr class="b"> +<td>600 </td> +<td>20 </td> +<td>12 </td> +<td>0.000 / 0.000 / 0.500 / 0.066 </td> +<td>0.246 / 0.281 / 19.279 / 0.390 </td> +<td>2541 / 2604 / 2663 / 15 </td></tr> +<tr class="a"> +<td>600 </td> +<td>20 </td> +<td>16 </td> +<td>0.000 / 0.000 / 0.667 / 0.071 </td> +<td>0.248 / 0.258 / 24.627 / 0.387 </td> +<td>2569 / 2627 / 2682 / 15 </td></tr> +<tr class="b"> +<td>600 </td> +<td>20 </td> +<td>20 </td> +<td>0.000 / 0.000 / 0.500 / 0.069 </td> +<td>0.239 / 0.246 / 13.606 / 0.248 </td> +<td>2938 / 2954 / 2972 / 3 </td></tr> +<tr class="a"> +<td>600 </td> +<td>24 </td> +<td>4 </td> +<td>0.000 / 17.333 / 210.333 / 18.157 </td> +<td>0.202 / 0.218 / 11.991 / 0.180 </td> +<td>222 / 223 / 223 / 0 </td></tr> +<tr class="b"> +<td>600 </td> +<td>24 </td> +<td>8 </td> +<td>0.000 / 3.667 / 21.167 / 3.184 </td> +<td>0.234 / 0.258 / 11.130 / 0.238 </td> +<td>385 / 394 / 406 / 3 </td></tr> +<tr class="a"> +<td>600 </td> +<td>24 </td> +<td>12 </td> +<td>0.000 / 0.000 / 0.167 / 0.017 </td> +<td>0.246 / 0.272 / 12.032 / 0.191 </td> +<td>2912 / 2935 / 2954 / 5 </td></tr> +<tr class="b"> +<td>600 </td> +<td>24 </td> +<td>16 </td> +<td>0.000 / 0.000 / 0.167 / 0.019 </td> +<td>0.246 / 0.268 / 19.358 / 0.282 </td> +<td>2916 / 2940 / 2959 / 6 </td></tr> +<tr class="a"> +<td>600 </td> +<td>24 </td> +<td>20 </td> +<td>0.000 / 0.000 / 0.167 / 0.015 </td> +<td>0.248 / 0.259 / 20.293 / 0.343 </td> +<td>2948 / 2980 / 3009 / 9 </td></tr> +<tr class="b"> +<td>600 </td> +<td>24 </td> +<td>24 </td> +<td>0.000 / 0.000 / 0.167 / 0.017 </td> +<td>0.239 / 0.252 / 11.721 / 0.230 </td> +<td>3586 / 3618 / 3643 / 7 </td></tr> +<tr class="a"> +<td>600 </td> +<td>28 </td> +<td>4 </td> +<td>0.000 / 17.667 / 182.667 / 17.309 </td> +<td>0.202 / 0.210 / 11.957 / 0.177 </td> +<td>223 / 224 / 224 / 0 </td></tr> +<tr class="b"> +<td>600 </td> +<td>28 </td> +<td>8 </td> +<td>10.333 / 28.000 / 42.833 / 3.687 </td> +<td>0.233 / 0.238 / 10.166 / 0.210 </td> +<td>377 / 392 / 403 / 3 </td></tr> +<tr class="a"> +<td>600 </td> +<td>28 </td> +<td>12 </td> +<td>0.000 / 0.000 / 0.333 / 0.013 </td> +<td>0.246 / 0.252 / 9.907 / 0.158 </td> +<td>3005 / 3024 / 3041 / 5 </td></tr> +<tr class="b"> +<td>600 </td> +<td>28 </td> +<td>16 </td> +<td>0.000 / 0.000 / 0.167 / 0.012 </td> +<td>0.246 / 0.256 / 18.673 / 0.273 </td> +<td>3007 / 3026 / 3045 / 5 </td></tr> +<tr class="a"> +<td>600 </td> +<td>28 </td> +<td>20 </td> +<td>0.000 / 0.000 / 0.167 / 0.011 </td> +<td>0.246 / 0.283 / 17.762 / 0.355 </td> +<td>3005 / 3029 / 3047 / 6 </td></tr> +<tr class="b"> +<td>600 </td> +<td>28 </td> +<td>24 </td> +<td>0.000 / 0.000 / 0.167 / 0.011 </td> +<td>0.248 / 0.254 / 8.821 / 0.138 </td> +<td>3035 / 3065 / 3098 / 8 </td></tr> +<tr class="a"> +<td>600 </td> +<td>28 </td> +<td>28 </td> +<td>0.000 / 0.000 / 0.167 / 0.011 </td> +<td>0.239 / 0.242 / 12.171 / 0.177 </td> +<td>3589 / 3621 / 3646 / 7 </td></tr> +<tr class="b"> +<td>600 </td> +<td>32 </td> +<td>4 </td> +<td>0.000 / 17.333 / 200.000 / 18.294 </td> +<td>0.202 / 0.205 / 9.036 / 0.138 </td> +<td>223 / 224 / 224 / 0 </td></tr> +<tr class="a"> +<td>600 </td> +<td>32 </td> +<td>8 </td> +<td>25.167 / 37.167 / 46.833 / 3.185 </td> +<td>0.232 / 0.236 / 9.061 / 0.144 </td> +<td>377 / 389 / 403 / 3 </td></tr> +<tr class="b"> +<td>600 </td> +<td>32 </td> +<td>12 </td> +<td>0.000 / 0.000 / 0.167 / 0.013 </td> +<td>0.246 / 0.256 / 11.119 / 0.169 </td> +<td>3028 / 3043 / 3055 / 4 </td></tr> +<tr class="a"> +<td>600 </td> +<td>32 </td> +<td>16 </td> +<td>0.000 / 0.000 / 0.167 / 0.010 </td> +<td>0.246 / 0.257 / 11.557 / 0.213 </td> +<td>3030 / 3045 / 3057 / 4 </td></tr> +<tr class="b"> +<td>600 </td> +<td>32 </td> +<td>20 </td> +<td>0.000 / 0.000 / 0.167 / 0.011 </td> +<td>0.246 / 0.266 / 20.353 / 0.295 </td> +<td>3030 / 3047 / 3071 / 4 </td></tr> +<tr class="a"> +<td>600 </td> +<td>32 </td> +<td>24 </td> +<td>0.000 / 0.000 / 0.167 / 0.012 </td> +<td>0.246 / 0.270 / 11.461 / 0.183 </td> +<td>3035 / 3050 / 3073 / 4 </td></tr> +<tr class="b"> +<td>600 </td> +<td>32 </td> +<td>28 </td> +<td>0.000 / 0.000 / 0.167 / 0.013 </td> +<td>0.248 / 0.260 / 11.755 / 0.242 </td> +<td>3060 / 3085 / 3108 / 7 </td></tr> +<tr class="a"> +<td>600 </td> +<td>32 </td> +<td>32 </td> +<td>0.000 / 0.000 / 0.167 / 0.012 </td> +<td>0.239 / 0.248 / 10.380 / 0.157 </td> +<td>3593 / 3621 / 3645 / 7 </td></tr> +<tr class="b"> +<td>800 </td> +<td>4 </td> +<td>4 </td> +<td>0.000 / 17.250 / 188.250 / 17.248 </td> +<td>0.269 / 0.280 / 10.818 / 0.212 </td> +<td>219 / 220 / 220 / 0 </td></tr> +<tr class="a"> +<td>800 </td> +<td>8 </td> +<td>4 </td> +<td>0.000 / 17.875 / 184.125 / 17.721 </td> +<td>0.270 / 0.298 / 16.706 / 0.252 </td> +<td>220 / 221 / 221 / 0 </td></tr> +<tr class="b"> +<td>800 </td> +<td>8 </td> +<td>8 </td> +<td>0.000 / 3.625 / 22.000 / 3.420 </td> +<td>0.303 / 0.315 / 12.489 / 0.243 </td> +<td>386 / 395 / 406 / 3 </td></tr> +<tr class="a"> +<td>800 </td> +<td>12 </td> +<td>4 </td> +<td>0.000 / 17.750 / 196.500 / 16.870 </td> +<td>0.269 / 0.289 / 13.533 / 0.235 </td> +<td>220 / 221 / 221 / 0 </td></tr> +<tr class="b"> +<td>800 </td> +<td>12 </td> +<td>8 </td> +<td>0.000 / 3.750 / 25.875 / 3.359 </td> +<td>0.303 / 0.330 / 18.306 / 0.365 </td>
<TRUNCATED>
