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Add reverse-bench.html
2017-05-18 16:41:47 +00:00
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
<title>criterion report</title>
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<h1>criterion performance measurements</h1>
<h2>overview</h2>
<p><a href="#grokularation">want to understand this report?</a></p>
<div id="overview" class="ovchart" style="width:900px;height:100px;"></div>
<h2><a name="b0">5/reverse</a></h2>
<table width="100%">
<tbody>
<tr>
<td><div id="kde0" class="kdechart"
style="width:450px;height:278px;"></div></td>
<td><div id="time0" class="timechart"
style="width:450px;height:278px;"></div></td>
<!--
<td><div id="cycle0" class="cyclechart"
style="width:300px;height:278px;"></div></td>
-->
</tr>
</tbody>
</table>
<table>
<thead class="analysis">
<th></th>
<th class="cibound"
title="0.95 confidence level">lower bound</th>
<th>estimate</th>
<th class="cibound"
title="0.95 confidence level">upper bound</th>
</thead>
<tbody>
<tr>
<td>OLS regression</td>
<td><span class="confinterval olstimelb0">xxx</span></td>
<td><span class="olstimept0">xxx</span></td>
<td><span class="confinterval olstimeub0">xxx</span></td>
</tr>
<tr>
<td>R&#xb2; goodness-of-fit</td>
<td><span class="confinterval olsr2lb0">xxx</span></td>
<td><span class="olsr2pt0">xxx</span></td>
<td><span class="confinterval olsr2ub0">xxx</span></td>
</tr>
<tr>
<td>Mean execution time</td>
<td><span class="confinterval citime">2.1825676261906123e-8</span></td>
<td><span class="time">2.2358490252398955e-8</span></td>
<td><span class="confinterval citime">2.37844799339728e-8</span></td>
</tr>
<tr>
<td>Standard deviation</td>
<td><span class="confinterval citime">1.0410718832927102e-9</span></td>
<td><span class="time">2.679739388766841e-9</span></td>
<td><span class="confinterval citime">5.028759887265124e-9</span></td>
</tr>
</tbody>
</table>
<span class="outliers">
<p>Outlying measurements have severe
(<span class="percent">0.9412781297226944</span>%)
effect on estimated standard deviation.</p>
</span>
<h2><a name="b1">5/myReverse</a></h2>
<table width="100%">
<tbody>
<tr>
<td><div id="kde1" class="kdechart"
style="width:450px;height:278px;"></div></td>
<td><div id="time1" class="timechart"
style="width:450px;height:278px;"></div></td>
<!--
<td><div id="cycle1" class="cyclechart"
style="width:300px;height:278px;"></div></td>
-->
</tr>
</tbody>
</table>
<table>
<thead class="analysis">
<th></th>
<th class="cibound"
title="0.95 confidence level">lower bound</th>
<th>estimate</th>
<th class="cibound"
title="0.95 confidence level">upper bound</th>
</thead>
<tbody>
<tr>
<td>OLS regression</td>
<td><span class="confinterval olstimelb1">xxx</span></td>
<td><span class="olstimept1">xxx</span></td>
<td><span class="confinterval olstimeub1">xxx</span></td>
</tr>
<tr>
<td>R&#xb2; goodness-of-fit</td>
<td><span class="confinterval olsr2lb1">xxx</span></td>
<td><span class="olsr2pt1">xxx</span></td>
<td><span class="confinterval olsr2ub1">xxx</span></td>
</tr>
<tr>
<td>Mean execution time</td>
<td><span class="confinterval citime">4.3976666496170086e-8</span></td>
<td><span class="time">4.4436941145299556e-8</span></td>
<td><span class="confinterval citime">4.485953844319826e-8</span></td>
</tr>
<tr>
<td>Standard deviation</td>
<td><span class="confinterval citime">1.1846412312215601e-9</span></td>
<td><span class="time">1.4129818567543152e-9</span></td>
<td><span class="confinterval citime">1.7437750926423863e-9</span></td>
</tr>
</tbody>
</table>
<span class="outliers">
<p>Outlying measurements have severe
(<span class="percent">0.5048047041113867</span>%)
effect on estimated standard deviation.</p>
</span>
<h2><a name="b2">5/betterReverse</a></h2>
<table width="100%">
<tbody>
<tr>
<td><div id="kde2" class="kdechart"
style="width:450px;height:278px;"></div></td>
<td><div id="time2" class="timechart"
style="width:450px;height:278px;"></div></td>
<!--
<td><div id="cycle2" class="cyclechart"
style="width:300px;height:278px;"></div></td>
-->
</tr>
</tbody>
</table>
<table>
<thead class="analysis">
<th></th>
<th class="cibound"
title="0.95 confidence level">lower bound</th>
<th>estimate</th>
<th class="cibound"
title="0.95 confidence level">upper bound</th>
</thead>
<tbody>
<tr>
<td>OLS regression</td>
<td><span class="confinterval olstimelb2">xxx</span></td>
<td><span class="olstimept2">xxx</span></td>
<td><span class="confinterval olstimeub2">xxx</span></td>
</tr>
<tr>
<td>R&#xb2; goodness-of-fit</td>
<td><span class="confinterval olsr2lb2">xxx</span></td>
<td><span class="olsr2pt2">xxx</span></td>
<td><span class="confinterval olsr2ub2">xxx</span></td>
</tr>
<tr>
<td>Mean execution time</td>
<td><span class="confinterval citime">2.2468511683032136e-8</span></td>
<td><span class="time">2.275122735723411e-8</span></td>
<td><span class="confinterval citime">2.308338369611327e-8</span></td>
</tr>
<tr>
<td>Standard deviation</td>
<td><span class="confinterval citime">8.368738485812947e-10</span></td>
<td><span class="time">1.0551141730817191e-9</span></td>
<td><span class="confinterval citime">1.4280336158690675e-9</span></td>
</tr>
</tbody>
</table>
<span class="outliers">
<p>Outlying measurements have severe
(<span class="percent">0.7000303924411976</span>%)
effect on estimated standard deviation.</p>
</span>
<h2><a name="b3">5/vectorReverse</a></h2>
<table width="100%">
<tbody>
<tr>
<td><div id="kde3" class="kdechart"
style="width:450px;height:278px;"></div></td>
<td><div id="time3" class="timechart"
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</tr>
</tbody>
</table>
<table>
<thead class="analysis">
<th></th>
<th class="cibound"
title="0.95 confidence level">lower bound</th>
<th>estimate</th>
<th class="cibound"
title="0.95 confidence level">upper bound</th>
</thead>
<tbody>
<tr>
<td>OLS regression</td>
<td><span class="confinterval olstimelb3">xxx</span></td>
<td><span class="olstimept3">xxx</span></td>
<td><span class="confinterval olstimeub3">xxx</span></td>
</tr>
<tr>
<td>R&#xb2; goodness-of-fit</td>
<td><span class="confinterval olsr2lb3">xxx</span></td>
<td><span class="olsr2pt3">xxx</span></td>
<td><span class="confinterval olsr2ub3">xxx</span></td>
</tr>
<tr>
<td>Mean execution time</td>
<td><span class="confinterval citime">4.113268125528561e-7</span></td>
<td><span class="time">4.1671732796036996e-7</span></td>
<td><span class="confinterval citime">4.2302707007282097e-7</span></td>
</tr>
<tr>
<td>Standard deviation</td>
<td><span class="confinterval citime">1.497270976211413e-8</span></td>
<td><span class="time">2.0058069721556883e-8</span></td>
<td><span class="confinterval citime">2.7911287812056826e-8</span></td>
</tr>
</tbody>
</table>
<span class="outliers">
<p>Outlying measurements have severe
(<span class="percent">0.6633637246704727</span>%)
effect on estimated standard deviation.</p>
</span>
<h2><a name="b4">5/svectorReverse</a></h2>
<table width="100%">
<tbody>
<tr>
<td><div id="kde4" class="kdechart"
style="width:450px;height:278px;"></div></td>
<td><div id="time4" class="timechart"
style="width:450px;height:278px;"></div></td>
<!--
<td><div id="cycle4" class="cyclechart"
style="width:300px;height:278px;"></div></td>
-->
</tr>
</tbody>
</table>
<table>
<thead class="analysis">
<th></th>
<th class="cibound"
title="0.95 confidence level">lower bound</th>
<th>estimate</th>
<th class="cibound"
title="0.95 confidence level">upper bound</th>
</thead>
<tbody>
<tr>
<td>OLS regression</td>
<td><span class="confinterval olstimelb4">xxx</span></td>
<td><span class="olstimept4">xxx</span></td>
<td><span class="confinterval olstimeub4">xxx</span></td>
</tr>
<tr>
<td>R&#xb2; goodness-of-fit</td>
<td><span class="confinterval olsr2lb4">xxx</span></td>
<td><span class="olsr2pt4">xxx</span></td>
<td><span class="confinterval olsr2ub4">xxx</span></td>
</tr>
<tr>
<td>Mean execution time</td>
<td><span class="confinterval citime">6.920398407902705e-8</span></td>
<td><span class="time">6.975841936879646e-8</span></td>
<td><span class="confinterval citime">7.046564991423694e-8</span></td>
</tr>
<tr>
<td>Standard deviation</td>
<td><span class="confinterval citime">1.8066599476484786e-9</span></td>
<td><span class="time">2.172896214537708e-9</span></td>
<td><span class="confinterval citime">2.6467403234113016e-9</span></td>
</tr>
</tbody>
</table>
<span class="outliers">
<p>Outlying measurements have moderate
(<span class="percent">0.48839555023650844</span>%)
effect on estimated standard deviation.</p>
</span>
<h2><a name="b5">5/uvectorReverse</a></h2>
<table width="100%">
<tbody>
<tr>
<td><div id="kde5" class="kdechart"
style="width:450px;height:278px;"></div></td>
<td><div id="time5" class="timechart"
style="width:450px;height:278px;"></div></td>
<!--
<td><div id="cycle5" class="cyclechart"
style="width:300px;height:278px;"></div></td>
-->
</tr>
</tbody>
</table>
<table>
<thead class="analysis">
<th></th>
<th class="cibound"
title="0.95 confidence level">lower bound</th>
<th>estimate</th>
<th class="cibound"
title="0.95 confidence level">upper bound</th>
</thead>
<tbody>
<tr>
<td>OLS regression</td>
<td><span class="confinterval olstimelb5">xxx</span></td>
<td><span class="olstimept5">xxx</span></td>
<td><span class="confinterval olstimeub5">xxx</span></td>
</tr>
<tr>
<td>R&#xb2; goodness-of-fit</td>
<td><span class="confinterval olsr2lb5">xxx</span></td>
<td><span class="olsr2pt5">xxx</span></td>
<td><span class="confinterval olsr2ub5">xxx</span></td>
</tr>
<tr>
<td>Mean execution time</td>
<td><span class="confinterval citime">6.851679597092373e-8</span></td>
<td><span class="time">6.925843908280533e-8</span></td>
<td><span class="confinterval citime">7.01740396232455e-8</span></td>
</tr>
<tr>
<td>Standard deviation</td>
<td><span class="confinterval citime">2.210327892769043e-9</span></td>
<td><span class="time">2.927763932650304e-9</span></td>
<td><span class="confinterval citime">4.326065221198047e-9</span></td>
</tr>
</tbody>
</table>
<span class="outliers">
<p>Outlying measurements have severe
(<span class="percent">0.6400701063900864</span>%)
effect on estimated standard deviation.</p>
</span>
<h2><a name="b6">100/reverse</a></h2>
<table width="100%">
<tbody>
<tr>
<td><div id="kde6" class="kdechart"
style="width:450px;height:278px;"></div></td>
<td><div id="time6" class="timechart"
style="width:450px;height:278px;"></div></td>
<!--
<td><div id="cycle6" class="cyclechart"
style="width:300px;height:278px;"></div></td>
-->
</tr>
</tbody>
</table>
<table>
<thead class="analysis">
<th></th>
<th class="cibound"
title="0.95 confidence level">lower bound</th>
<th>estimate</th>
<th class="cibound"
title="0.95 confidence level">upper bound</th>
</thead>
<tbody>
<tr>
<td>OLS regression</td>
<td><span class="confinterval olstimelb6">xxx</span></td>
<td><span class="olstimept6">xxx</span></td>
<td><span class="confinterval olstimeub6">xxx</span></td>
</tr>
<tr>
<td>R&#xb2; goodness-of-fit</td>
<td><span class="confinterval olsr2lb6">xxx</span></td>
<td><span class="olsr2pt6">xxx</span></td>
<td><span class="confinterval olsr2ub6">xxx</span></td>
</tr>
<tr>
<td>Mean execution time</td>
<td><span class="confinterval citime">4.4247980578490166e-7</span></td>
<td><span class="time">4.486931689301164e-7</span></td>
<td><span class="confinterval citime">4.715765238594911e-7</span></td>
</tr>
<tr>
<td>Standard deviation</td>
<td><span class="confinterval citime">1.384237597896298e-8</span></td>
<td><span class="time">3.4265713859801746e-8</span></td>
<td><span class="confinterval citime">7.91561949401906e-8</span></td>
</tr>
</tbody>
</table>
<span class="outliers">
<p>Outlying measurements have severe
(<span class="percent">0.8337723416690731</span>%)
effect on estimated standard deviation.</p>
</span>
<h2><a name="b7">100/myReverse</a></h2>
<table width="100%">
<tbody>
<tr>
<td><div id="kde7" class="kdechart"
style="width:450px;height:278px;"></div></td>
<td><div id="time7" class="timechart"
style="width:450px;height:278px;"></div></td>
<!--
<td><div id="cycle7" class="cyclechart"
style="width:300px;height:278px;"></div></td>
-->
</tr>
</tbody>
</table>
<table>
<thead class="analysis">
<th></th>
<th class="cibound"
title="0.95 confidence level">lower bound</th>
<th>estimate</th>
<th class="cibound"
title="0.95 confidence level">upper bound</th>
</thead>
<tbody>
<tr>
<td>OLS regression</td>
<td><span class="confinterval olstimelb7">xxx</span></td>
<td><span class="olstimept7">xxx</span></td>
<td><span class="confinterval olstimeub7">xxx</span></td>
</tr>
<tr>
<td>R&#xb2; goodness-of-fit</td>
<td><span class="confinterval olsr2lb7">xxx</span></td>
<td><span class="olsr2pt7">xxx</span></td>
<td><span class="confinterval olsr2ub7">xxx</span></td>
</tr>
<tr>
<td>Mean execution time</td>
<td><span class="confinterval citime">1.007891519190093e-6</span></td>
<td><span class="time">1.0195661875784653e-6</span></td>
<td><span class="confinterval citime">1.039020302638846e-6</span></td>
</tr>
<tr>
<td>Standard deviation</td>
<td><span class="confinterval citime">3.817967123630337e-8</span></td>
<td><span class="time">5.2243289403871843e-8</span></td>
<td><span class="confinterval citime">7.427452481277e-8</span></td>
</tr>
</tbody>
</table>
<span class="outliers">
<p>Outlying measurements have severe
(<span class="percent">0.6738845808731594</span>%)
effect on estimated standard deviation.</p>
</span>
<h2><a name="b8">100/betterReverse</a></h2>
<table width="100%">
<tbody>
<tr>
<td><div id="kde8" class="kdechart"
style="width:450px;height:278px;"></div></td>
<td><div id="time8" class="timechart"
style="width:450px;height:278px;"></div></td>
<!--
<td><div id="cycle8" class="cyclechart"
style="width:300px;height:278px;"></div></td>
-->
</tr>
</tbody>
</table>
<table>
<thead class="analysis">
<th></th>
<th class="cibound"
title="0.95 confidence level">lower bound</th>
<th>estimate</th>
<th class="cibound"
title="0.95 confidence level">upper bound</th>
</thead>
<tbody>
<tr>
<td>OLS regression</td>
<td><span class="confinterval olstimelb8">xxx</span></td>
<td><span class="olstimept8">xxx</span></td>
<td><span class="confinterval olstimeub8">xxx</span></td>
</tr>
<tr>
<td>R&#xb2; goodness-of-fit</td>
<td><span class="confinterval olsr2lb8">xxx</span></td>
<td><span class="olsr2pt8">xxx</span></td>
<td><span class="confinterval olsr2ub8">xxx</span></td>
</tr>
<tr>
<td>Mean execution time</td>
<td><span class="confinterval citime">4.295364364477159e-7</span></td>
<td><span class="time">4.3298605299216234e-7</span></td>
<td><span class="confinterval citime">4.3799217841438554e-7</span></td>
</tr>
<tr>
<td>Standard deviation</td>
<td><span class="confinterval citime">1.112311803558022e-8</span></td>
<td><span class="time">1.3612046474153825e-8</span></td>
<td><span class="confinterval citime">1.7582641093090672e-8</span></td>
</tr>
</tbody>
</table>
<span class="outliers">
<p>Outlying measurements have moderate
(<span class="percent">0.4540266643025085</span>%)
effect on estimated standard deviation.</p>
</span>
<h2><a name="b9">100/vectorReverse</a></h2>
<table width="100%">
<tbody>
<tr>
<td><div id="kde9" class="kdechart"
style="width:450px;height:278px;"></div></td>
<td><div id="time9" class="timechart"
style="width:450px;height:278px;"></div></td>
<!--
<td><div id="cycle9" class="cyclechart"
style="width:300px;height:278px;"></div></td>
-->
</tr>
</tbody>
</table>
<table>
<thead class="analysis">
<th></th>
<th class="cibound"
title="0.95 confidence level">lower bound</th>
<th>estimate</th>
<th class="cibound"
title="0.95 confidence level">upper bound</th>
</thead>
<tbody>
<tr>
<td>OLS regression</td>
<td><span class="confinterval olstimelb9">xxx</span></td>
<td><span class="olstimept9">xxx</span></td>
<td><span class="confinterval olstimeub9">xxx</span></td>
</tr>
<tr>
<td>R&#xb2; goodness-of-fit</td>
<td><span class="confinterval olsr2lb9">xxx</span></td>
<td><span class="olsr2pt9">xxx</span></td>
<td><span class="confinterval olsr2ub9">xxx</span></td>
</tr>
<tr>
<td>Mean execution time</td>
<td><span class="confinterval citime">3.3057291168636383e-6</span></td>
<td><span class="time">3.38274136179026e-6</span></td>
<td><span class="confinterval citime">3.548252976134029e-6</span></td>
</tr>
<tr>
<td>Standard deviation</td>
<td><span class="confinterval citime">1.0608095029319091e-7</span></td>
<td><span class="time">3.541439684399015e-7</span></td>
<td><span class="confinterval citime">6.096734294907109e-7</span></td>
</tr>
</tbody>
</table>
<span class="outliers">
<p>Outlying measurements have severe
(<span class="percent">0.8869680939351119</span>%)
effect on estimated standard deviation.</p>
</span>
<h2><a name="b10">100/svectorReverse</a></h2>
<table width="100%">
<tbody>
<tr>
<td><div id="kde10" class="kdechart"
style="width:450px;height:278px;"></div></td>
<td><div id="time10" class="timechart"
style="width:450px;height:278px;"></div></td>
<!--
<td><div id="cycle10" class="cyclechart"
style="width:300px;height:278px;"></div></td>
-->
</tr>
</tbody>
</table>
<table>
<thead class="analysis">
<th></th>
<th class="cibound"
title="0.95 confidence level">lower bound</th>
<th>estimate</th>
<th class="cibound"
title="0.95 confidence level">upper bound</th>
</thead>
<tbody>
<tr>
<td>OLS regression</td>
<td><span class="confinterval olstimelb10">xxx</span></td>
<td><span class="olstimept10">xxx</span></td>
<td><span class="confinterval olstimeub10">xxx</span></td>
</tr>
<tr>
<td>R&#xb2; goodness-of-fit</td>
<td><span class="confinterval olsr2lb10">xxx</span></td>
<td><span class="olsr2pt10">xxx</span></td>
<td><span class="confinterval olsr2ub10">xxx</span></td>
</tr>
<tr>
<td>Mean execution time</td>
<td><span class="confinterval citime">6.866557693995546e-7</span></td>
<td><span class="time">6.934741716236048e-7</span></td>
<td><span class="confinterval citime">7.021896276554826e-7</span></td>
</tr>
<tr>
<td>Standard deviation</td>
<td><span class="confinterval citime">2.1479242834733937e-8</span></td>
<td><span class="time">2.4882765696493914e-8</span></td>
<td><span class="confinterval citime">3.0244553441558444e-8</span></td>
</tr>
</tbody>
</table>
<span class="outliers">
<p>Outlying measurements have severe
(<span class="percent">0.5098333358544204</span>%)
effect on estimated standard deviation.</p>
</span>
<h2><a name="b11">100/uvectorReverse</a></h2>
<table width="100%">
<tbody>
<tr>
<td><div id="kde11" class="kdechart"
style="width:450px;height:278px;"></div></td>
<td><div id="time11" class="timechart"
style="width:450px;height:278px;"></div></td>
<!--
<td><div id="cycle11" class="cyclechart"
style="width:300px;height:278px;"></div></td>
-->
</tr>
</tbody>
</table>
<table>
<thead class="analysis">
<th></th>
<th class="cibound"
title="0.95 confidence level">lower bound</th>
<th>estimate</th>
<th class="cibound"
title="0.95 confidence level">upper bound</th>
</thead>
<tbody>
<tr>
<td>OLS regression</td>
<td><span class="confinterval olstimelb11">xxx</span></td>
<td><span class="olstimept11">xxx</span></td>
<td><span class="confinterval olstimeub11">xxx</span></td>
</tr>
<tr>
<td>R&#xb2; goodness-of-fit</td>
<td><span class="confinterval olsr2lb11">xxx</span></td>
<td><span class="olsr2pt11">xxx</span></td>
<td><span class="confinterval olsr2ub11">xxx</span></td>
</tr>
<tr>
<td>Mean execution time</td>
<td><span class="confinterval citime">6.6949455396143e-7</span></td>
<td><span class="time">6.763147099577562e-7</span></td>
<td><span class="confinterval citime">6.8492834272938e-7</span></td>
</tr>
<tr>
<td>Standard deviation</td>
<td><span class="confinterval citime">2.090563167335844e-8</span></td>
<td><span class="time">2.6756765803271828e-8</span></td>
<td><span class="confinterval citime">3.911103210894066e-8</span></td>
</tr>
</tbody>
</table>
<span class="outliers">
<p>Outlying measurements have severe
(<span class="percent">0.560253509340352</span>%)
effect on estimated standard deviation.</p>
</span>
<h2><a name="b12">10000/reverse</a></h2>
<table width="100%">
<tbody>
<tr>
<td><div id="kde12" class="kdechart"
style="width:450px;height:278px;"></div></td>
<td><div id="time12" class="timechart"
style="width:450px;height:278px;"></div></td>
<!--
<td><div id="cycle12" class="cyclechart"
style="width:300px;height:278px;"></div></td>
-->
</tr>
</tbody>
</table>
<table>
<thead class="analysis">
<th></th>
<th class="cibound"
title="0.95 confidence level">lower bound</th>
<th>estimate</th>
<th class="cibound"
title="0.95 confidence level">upper bound</th>
</thead>
<tbody>
<tr>
<td>OLS regression</td>
<td><span class="confinterval olstimelb12">xxx</span></td>
<td><span class="olstimept12">xxx</span></td>
<td><span class="confinterval olstimeub12">xxx</span></td>
</tr>
<tr>
<td>R&#xb2; goodness-of-fit</td>
<td><span class="confinterval olsr2lb12">xxx</span></td>
<td><span class="olsr2pt12">xxx</span></td>
<td><span class="confinterval olsr2ub12">xxx</span></td>
</tr>
<tr>
<td>Mean execution time</td>
<td><span class="confinterval citime">8.226367938376666e-5</span></td>
<td><span class="time">8.404068339648452e-5</span></td>
<td><span class="confinterval citime">8.709085964902236e-5</span></td>
</tr>
<tr>
<td>Standard deviation</td>
<td><span class="confinterval citime">4.522568050534064e-6</span></td>
<td><span class="time">7.86691139839666e-6</span></td>
<td><span class="confinterval citime">1.430260632818422e-5</span></td>
</tr>
</tbody>
</table>
<span class="outliers">
<p>Outlying measurements have severe
(<span class="percent">0.8002504670977215</span>%)
effect on estimated standard deviation.</p>
</span>
<h2><a name="b13">10000/myReverse</a></h2>
<table width="100%">
<tbody>
<tr>
<td><div id="kde13" class="kdechart"
style="width:450px;height:278px;"></div></td>
<td><div id="time13" class="timechart"
style="width:450px;height:278px;"></div></td>
<!--
<td><div id="cycle13" class="cyclechart"
style="width:300px;height:278px;"></div></td>
-->
</tr>
</tbody>
</table>
<table>
<thead class="analysis">
<th></th>
<th class="cibound"
title="0.95 confidence level">lower bound</th>
<th>estimate</th>
<th class="cibound"
title="0.95 confidence level">upper bound</th>
</thead>
<tbody>
<tr>
<td>OLS regression</td>
<td><span class="confinterval olstimelb13">xxx</span></td>
<td><span class="olstimept13">xxx</span></td>
<td><span class="confinterval olstimeub13">xxx</span></td>
</tr>
<tr>
<td>R&#xb2; goodness-of-fit</td>
<td><span class="confinterval olsr2lb13">xxx</span></td>
<td><span class="olsr2pt13">xxx</span></td>
<td><span class="confinterval olsr2ub13">xxx</span></td>
</tr>
<tr>
<td>Mean execution time</td>
<td><span class="confinterval citime">9.89039039905634e-4</span></td>
<td><span class="time">1.018843258186528e-3</span></td>
<td><span class="confinterval citime">1.0672437545241342e-3</span></td>
</tr>
<tr>
<td>Standard deviation</td>
<td><span class="confinterval citime">8.176285380106038e-5</span></td>
<td><span class="time">1.257903479559935e-4</span></td>
<td><span class="confinterval citime">2.101625919477303e-4</span></td>
</tr>
</tbody>
</table>
<span class="outliers">
<p>Outlying measurements have severe
(<span class="percent">0.8045762396300628</span>%)
effect on estimated standard deviation.</p>
</span>
<h2><a name="b14">10000/betterReverse</a></h2>
<table width="100%">
<tbody>
<tr>
<td><div id="kde14" class="kdechart"
style="width:450px;height:278px;"></div></td>
<td><div id="time14" class="timechart"
style="width:450px;height:278px;"></div></td>
<!--
<td><div id="cycle14" class="cyclechart"
style="width:300px;height:278px;"></div></td>
-->
</tr>
</tbody>
</table>
<table>
<thead class="analysis">
<th></th>
<th class="cibound"
title="0.95 confidence level">lower bound</th>
<th>estimate</th>
<th class="cibound"
title="0.95 confidence level">upper bound</th>
</thead>
<tbody>
<tr>
<td>OLS regression</td>
<td><span class="confinterval olstimelb14">xxx</span></td>
<td><span class="olstimept14">xxx</span></td>
<td><span class="confinterval olstimeub14">xxx</span></td>
</tr>
<tr>
<td>R&#xb2; goodness-of-fit</td>
<td><span class="confinterval olsr2lb14">xxx</span></td>
<td><span class="olsr2pt14">xxx</span></td>
<td><span class="confinterval olsr2ub14">xxx</span></td>
</tr>
<tr>
<td>Mean execution time</td>
<td><span class="confinterval citime">8.037007935207724e-5</span></td>
<td><span class="time">8.094225189166519e-5</span></td>
<td><span class="confinterval citime">8.184021433892617e-5</span></td>
</tr>
<tr>
<td>Standard deviation</td>
<td><span class="confinterval citime">1.6701071654065847e-6</span></td>
<td><span class="time">2.23963860459826e-6</span></td>
<td><span class="confinterval citime">3.3025989615865156e-6</span></td>
</tr>
</tbody>
</table>
<span class="outliers">
<p>Outlying measurements have moderate
(<span class="percent">0.25266616390534796</span>%)
effect on estimated standard deviation.</p>
</span>
<h2><a name="b15">10000/vectorReverse</a></h2>
<table width="100%">
<tbody>
<tr>
<td><div id="kde15" class="kdechart"
style="width:450px;height:278px;"></div></td>
<td><div id="time15" class="timechart"
style="width:450px;height:278px;"></div></td>
<!--
<td><div id="cycle15" class="cyclechart"
style="width:300px;height:278px;"></div></td>
-->
</tr>
</tbody>
</table>
<table>
<thead class="analysis">
<th></th>
<th class="cibound"
title="0.95 confidence level">lower bound</th>
<th>estimate</th>
<th class="cibound"
title="0.95 confidence level">upper bound</th>
</thead>
<tbody>
<tr>
<td>OLS regression</td>
<td><span class="confinterval olstimelb15">xxx</span></td>
<td><span class="olstimept15">xxx</span></td>
<td><span class="confinterval olstimeub15">xxx</span></td>
</tr>
<tr>
<td>R&#xb2; goodness-of-fit</td>
<td><span class="confinterval olsr2lb15">xxx</span></td>
<td><span class="olsr2pt15">xxx</span></td>
<td><span class="confinterval olsr2ub15">xxx</span></td>
</tr>
<tr>
<td>Mean execution time</td>
<td><span class="confinterval citime">4.671121652397968e-4</span></td>
<td><span class="time">4.874406423516324e-4</span></td>
<td><span class="confinterval citime">5.260025225863243e-4</span></td>
</tr>
<tr>
<td>Standard deviation</td>
<td><span class="confinterval citime">5.3060569609557984e-5</span></td>
<td><span class="time">8.807508602942347e-5</span></td>
<td><span class="confinterval citime">1.399993272699004e-4</span></td>
</tr>
</tbody>
</table>
<span class="outliers">
<p>Outlying measurements have severe
(<span class="percent">0.9129058424341375</span>%)
effect on estimated standard deviation.</p>
</span>
<h2><a name="b16">10000/svectorReverse</a></h2>
<table width="100%">
<tbody>
<tr>
<td><div id="kde16" class="kdechart"
style="width:450px;height:278px;"></div></td>
<td><div id="time16" class="timechart"
style="width:450px;height:278px;"></div></td>
<!--
<td><div id="cycle16" class="cyclechart"
style="width:300px;height:278px;"></div></td>
-->
</tr>
</tbody>
</table>
<table>
<thead class="analysis">
<th></th>
<th class="cibound"
title="0.95 confidence level">lower bound</th>
<th>estimate</th>
<th class="cibound"
title="0.95 confidence level">upper bound</th>
</thead>
<tbody>
<tr>
<td>OLS regression</td>
<td><span class="confinterval olstimelb16">xxx</span></td>
<td><span class="olstimept16">xxx</span></td>
<td><span class="confinterval olstimeub16">xxx</span></td>
</tr>
<tr>
<td>R&#xb2; goodness-of-fit</td>
<td><span class="confinterval olsr2lb16">xxx</span></td>
<td><span class="olsr2pt16">xxx</span></td>
<td><span class="confinterval olsr2ub16">xxx</span></td>
</tr>
<tr>
<td>Mean execution time</td>
<td><span class="confinterval citime">8.363981457710693e-5</span></td>
<td><span class="time">8.465469716167873e-5</span></td>
<td><span class="confinterval citime">8.572704740430688e-5</span></td>
</tr>
<tr>
<td>Standard deviation</td>
<td><span class="confinterval citime">2.8557446230897197e-6</span></td>
<td><span class="time">3.46327049505151e-6</span></td>
<td><span class="confinterval citime">4.740792412320742e-6</span></td>
</tr>
</tbody>
</table>
<span class="outliers">
<p>Outlying measurements have moderate
(<span class="percent">0.4309142876000203</span>%)
effect on estimated standard deviation.</p>
</span>
<h2><a name="b17">10000/uvectorReverse</a></h2>
<table width="100%">
<tbody>
<tr>
<td><div id="kde17" class="kdechart"
style="width:450px;height:278px;"></div></td>
<td><div id="time17" class="timechart"
style="width:450px;height:278px;"></div></td>
<!--
<td><div id="cycle17" class="cyclechart"
style="width:300px;height:278px;"></div></td>
-->
</tr>
</tbody>
</table>
<table>
<thead class="analysis">
<th></th>
<th class="cibound"
title="0.95 confidence level">lower bound</th>
<th>estimate</th>
<th class="cibound"
title="0.95 confidence level">upper bound</th>
</thead>
<tbody>
<tr>
<td>OLS regression</td>
<td><span class="confinterval olstimelb17">xxx</span></td>
<td><span class="olstimept17">xxx</span></td>
<td><span class="confinterval olstimeub17">xxx</span></td>
</tr>
<tr>
<td>R&#xb2; goodness-of-fit</td>
<td><span class="confinterval olsr2lb17">xxx</span></td>
<td><span class="olsr2pt17">xxx</span></td>
<td><span class="confinterval olsr2ub17">xxx</span></td>
</tr>
<tr>
<td>Mean execution time</td>
<td><span class="confinterval citime">8.180549446549271e-5</span></td>
<td><span class="time">8.302433383267748e-5</span></td>
<td><span class="confinterval citime">8.507035683076922e-5</span></td>
</tr>
<tr>
<td>Standard deviation</td>
<td><span class="confinterval citime">3.0654232002257616e-6</span></td>
<td><span class="time">5.168280070836902e-6</span></td>
<td><span class="confinterval citime">8.482840131547177e-6</span></td>
</tr>
</tbody>
</table>
<span class="outliers">
<p>Outlying measurements have severe
(<span class="percent">0.6386877066044123</span>%)
effect on estimated standard deviation.</p>
</span>
<h2><a name="b18">1000000/reverse</a></h2>
<table width="100%">
<tbody>
<tr>
<td><div id="kde18" class="kdechart"
style="width:450px;height:278px;"></div></td>
<td><div id="time18" class="timechart"
style="width:450px;height:278px;"></div></td>
<!--
<td><div id="cycle18" class="cyclechart"
style="width:300px;height:278px;"></div></td>
-->
</tr>
</tbody>
</table>
<table>
<thead class="analysis">
<th></th>
<th class="cibound"
title="0.95 confidence level">lower bound</th>
<th>estimate</th>
<th class="cibound"
title="0.95 confidence level">upper bound</th>
</thead>
<tbody>
<tr>
<td>OLS regression</td>
<td><span class="confinterval olstimelb18">xxx</span></td>
<td><span class="olstimept18">xxx</span></td>
<td><span class="confinterval olstimeub18">xxx</span></td>
</tr>
<tr>
<td>R&#xb2; goodness-of-fit</td>
<td><span class="confinterval olsr2lb18">xxx</span></td>
<td><span class="olsr2pt18">xxx</span></td>
<td><span class="confinterval olsr2ub18">xxx</span></td>
</tr>
<tr>
<td>Mean execution time</td>
<td><span class="confinterval citime">5.82335887983178e-2</span></td>
<td><span class="time">6.070360608160647e-2</span></td>
<td><span class="confinterval citime">6.351763956607893e-2</span></td>
</tr>
<tr>
<td>Standard deviation</td>
<td><span class="confinterval citime">3.493123458566975e-3</span></td>
<td><span class="time">4.869657126862904e-3</span></td>
<td><span class="confinterval citime">6.661851617464323e-3</span></td>
</tr>
</tbody>
</table>
<span class="outliers">
<p>Outlying measurements have moderate
(<span class="percent">0.23735406305053863</span>%)
effect on estimated standard deviation.</p>
</span>
<h2><a name="b19">1000000/myReverse</a></h2>
<table width="100%">
<tbody>
<tr>
<td><div id="kde19" class="kdechart"
style="width:450px;height:278px;"></div></td>
<td><div id="time19" class="timechart"
style="width:450px;height:278px;"></div></td>
<!--
<td><div id="cycle19" class="cyclechart"
style="width:300px;height:278px;"></div></td>
-->
</tr>
</tbody>
</table>
<table>
<thead class="analysis">
<th></th>
<th class="cibound"
title="0.95 confidence level">lower bound</th>
<th>estimate</th>
<th class="cibound"
title="0.95 confidence level">upper bound</th>
</thead>
<tbody>
<tr>
<td>OLS regression</td>
<td><span class="confinterval olstimelb19">xxx</span></td>
<td><span class="olstimept19">xxx</span></td>
<td><span class="confinterval olstimeub19">xxx</span></td>
</tr>
<tr>
<td>R&#xb2; goodness-of-fit</td>
<td><span class="confinterval olsr2lb19">xxx</span></td>
<td><span class="olsr2pt19">xxx</span></td>
<td><span class="confinterval olsr2ub19">xxx</span></td>
</tr>
<tr>
<td>Mean execution time</td>
<td><span class="confinterval citime">0.1521053190443865</span></td>
<td><span class="time">0.15616956000529855</span></td>
<td><span class="confinterval citime">0.16591606631843145</span></td>
</tr>
<tr>
<td>Standard deviation</td>
<td><span class="confinterval citime">1.4696875602100575e-3</span></td>
<td><span class="time">8.218916793373316e-3</span></td>
<td><span class="confinterval citime">1.2116156633981663e-2</span></td>
</tr>
</tbody>
</table>
<span class="outliers">
<p>Outlying measurements have moderate
(<span class="percent">0.12641003608244392</span>%)
effect on estimated standard deviation.</p>
</span>
<h2><a name="b20">1000000/betterReverse</a></h2>
<table width="100%">
<tbody>
<tr>
<td><div id="kde20" class="kdechart"
style="width:450px;height:278px;"></div></td>
<td><div id="time20" class="timechart"
style="width:450px;height:278px;"></div></td>
<!--
<td><div id="cycle20" class="cyclechart"
style="width:300px;height:278px;"></div></td>
-->
</tr>
</tbody>
</table>
<table>
<thead class="analysis">
<th></th>
<th class="cibound"
title="0.95 confidence level">lower bound</th>
<th>estimate</th>
<th class="cibound"
title="0.95 confidence level">upper bound</th>
</thead>
<tbody>
<tr>
<td>OLS regression</td>
<td><span class="confinterval olstimelb20">xxx</span></td>
<td><span class="olstimept20">xxx</span></td>
<td><span class="confinterval olstimeub20">xxx</span></td>
</tr>
<tr>
<td>R&#xb2; goodness-of-fit</td>
<td><span class="confinterval olsr2lb20">xxx</span></td>
<td><span class="olsr2pt20">xxx</span></td>
<td><span class="confinterval olsr2ub20">xxx</span></td>
</tr>
<tr>
<td>Mean execution time</td>
<td><span class="confinterval citime">5.8424205701204296e-2</span></td>
<td><span class="time">6.046765499354529e-2</span></td>
<td><span class="confinterval citime">6.389965309082378e-2</span></td>
</tr>
<tr>
<td>Standard deviation</td>
<td><span class="confinterval citime">2.7554816954297187e-3</span></td>
<td><span class="time">4.6048879250182835e-3</span></td>
<td><span class="confinterval citime">6.9992153869534645e-3</span></td>
</tr>
</tbody>
</table>
<span class="outliers">
<p>Outlying measurements have moderate
(<span class="percent">0.23596776268571917</span>%)
effect on estimated standard deviation.</p>
</span>
<h2><a name="b21">1000000/vectorReverse</a></h2>
<table width="100%">
<tbody>
<tr>
<td><div id="kde21" class="kdechart"
style="width:450px;height:278px;"></div></td>
<td><div id="time21" class="timechart"
style="width:450px;height:278px;"></div></td>
<!--
<td><div id="cycle21" class="cyclechart"
style="width:300px;height:278px;"></div></td>
-->
</tr>
</tbody>
</table>
<table>
<thead class="analysis">
<th></th>
<th class="cibound"
title="0.95 confidence level">lower bound</th>
<th>estimate</th>
<th class="cibound"
title="0.95 confidence level">upper bound</th>
</thead>
<tbody>
<tr>
<td>OLS regression</td>
<td><span class="confinterval olstimelb21">xxx</span></td>
<td><span class="olstimept21">xxx</span></td>
<td><span class="confinterval olstimeub21">xxx</span></td>
</tr>
<tr>
<td>R&#xb2; goodness-of-fit</td>
<td><span class="confinterval olsr2lb21">xxx</span></td>
<td><span class="olsr2pt21">xxx</span></td>
<td><span class="confinterval olsr2ub21">xxx</span></td>
</tr>
<tr>
<td>Mean execution time</td>
<td><span class="confinterval citime">5.391284686073217e-2</span></td>
<td><span class="time">5.609325219775799e-2</span></td>
<td><span class="confinterval citime">5.804273318320527e-2</span></td>
</tr>
<tr>
<td>Standard deviation</td>
<td><span class="confinterval citime">2.5813403288497466e-3</span></td>
<td><span class="time">3.581623161602982e-3</span></td>
<td><span class="confinterval citime">5.10770701971325e-3</span></td>
</tr>
</tbody>
</table>
<span class="outliers">
<p>Outlying measurements have moderate
(<span class="percent">0.15779515270543848</span>%)
effect on estimated standard deviation.</p>
</span>
<h2><a name="b22">1000000/svectorReverse</a></h2>
<table width="100%">
<tbody>
<tr>
<td><div id="kde22" class="kdechart"
style="width:450px;height:278px;"></div></td>
<td><div id="time22" class="timechart"
style="width:450px;height:278px;"></div></td>
<!--
<td><div id="cycle22" class="cyclechart"
style="width:300px;height:278px;"></div></td>
-->
</tr>
</tbody>
</table>
<table>
<thead class="analysis">
<th></th>
<th class="cibound"
title="0.95 confidence level">lower bound</th>
<th>estimate</th>
<th class="cibound"
title="0.95 confidence level">upper bound</th>
</thead>
<tbody>
<tr>
<td>OLS regression</td>
<td><span class="confinterval olstimelb22">xxx</span></td>
<td><span class="olstimept22">xxx</span></td>
<td><span class="confinterval olstimeub22">xxx</span></td>
</tr>
<tr>
<td>R&#xb2; goodness-of-fit</td>
<td><span class="confinterval olsr2lb22">xxx</span></td>
<td><span class="olsr2pt22">xxx</span></td>
<td><span class="confinterval olsr2ub22">xxx</span></td>
</tr>
<tr>
<td>Mean execution time</td>
<td><span class="confinterval citime">1.3087657836357023e-2</span></td>
<td><span class="time">1.3486536819947735e-2</span></td>
<td><span class="confinterval citime">1.4577670676972554e-2</span></td>
</tr>
<tr>
<td>Standard deviation</td>
<td><span class="confinterval citime">6.632674890790757e-4</span></td>
<td><span class="time">1.5583727257841432e-3</span></td>
<td><span class="confinterval citime">2.871073235275729e-3</span></td>
</tr>
</tbody>
</table>
<span class="outliers">
<p>Outlying measurements have severe
(<span class="percent">0.5619420802481624</span>%)
effect on estimated standard deviation.</p>
</span>
<h2><a name="b23">1000000/uvectorReverse</a></h2>
<table width="100%">
<tbody>
<tr>
<td><div id="kde23" class="kdechart"
style="width:450px;height:278px;"></div></td>
<td><div id="time23" class="timechart"
style="width:450px;height:278px;"></div></td>
<!--
<td><div id="cycle23" class="cyclechart"
style="width:300px;height:278px;"></div></td>
-->
</tr>
</tbody>
</table>
<table>
<thead class="analysis">
<th></th>
<th class="cibound"
title="0.95 confidence level">lower bound</th>
<th>estimate</th>
<th class="cibound"
title="0.95 confidence level">upper bound</th>
</thead>
<tbody>
<tr>
<td>OLS regression</td>
<td><span class="confinterval olstimelb23">xxx</span></td>
<td><span class="olstimept23">xxx</span></td>
<td><span class="confinterval olstimeub23">xxx</span></td>
</tr>
<tr>
<td>R&#xb2; goodness-of-fit</td>
<td><span class="confinterval olsr2lb23">xxx</span></td>
<td><span class="olsr2pt23">xxx</span></td>
<td><span class="confinterval olsr2ub23">xxx</span></td>
</tr>
<tr>
<td>Mean execution time</td>
<td><span class="confinterval citime">1.207082513587815e-2</span></td>
<td><span class="time">1.2224248519543568e-2</span></td>
<td><span class="confinterval citime">1.2365601516715435e-2</span></td>
</tr>
<tr>
<td>Standard deviation</td>
<td><span class="confinterval citime">3.05961188737579e-4</span></td>
<td><span class="time">3.8840682394674676e-4</span></td>
<td><span class="confinterval citime">4.906517806114332e-4</span></td>
</tr>
</tbody>
</table>
<span class="outliers">
<p>Outlying measurements have moderate
(<span class="percent">0.10403423030173367</span>%)
effect on estimated standard deviation.</p>
</span>
<h2><a name="grokularation">understanding this report</a></h2>
<p>In this report, each function benchmarked by criterion is assigned
a section of its own. The charts in each section are active; if
you hover your mouse over data points and annotations, you will see
more details.</p>
<ul>
<li>The chart on the left is a
<a href="http://en.wikipedia.org/wiki/Kernel_density_estimation">kernel
density estimate</a> (also known as a KDE) of time
measurements. This graphs the probability of any given time
measurement occurring. A spike indicates that a measurement of a
particular time occurred; its height indicates how often that
measurement was repeated.</li>
<li>The chart on the right is the raw data from which the kernel
density estimate is built. The <i>x</i> axis indicates the
number of loop iterations, while the <i>y</i> axis shows measured
execution time for the given number of loop iterations. The
line behind the values is the linear regression prediction of
execution time for a given number of iterations. Ideally, all
measurements will be on (or very near) this line.</li>
</ul>
<p>Under the charts is a small table.
The first two rows are the results of a linear regression run
on the measurements displayed in the right-hand chart.</p>
<ul>
<li><i>OLS regression</i> indicates the
time estimated for a single loop iteration using an ordinary
least-squares regression model. This number is more accurate
than the <i>mean</i> estimate below it, as it more effectively
eliminates measurement overhead and other constant factors.</li>
<li><i>R&#xb2; goodness-of-fit</i> is a measure of how
accurately the linear regression model fits the observed
measurements. If the measurements are not too noisy, R&#xb2;
should lie between 0.99 and 1, indicating an excellent fit. If
the number is below 0.99, something is confounding the accuracy
of the linear model.</li>
<li><i>Mean execution time</i> and <i>standard deviation</i> are
statistics calculated from execution time
divided by number of iterations.</li>
</ul>
<p>We use a statistical technique called
the <a href="http://en.wikipedia.org/wiki/Bootstrapping_(statistics)">bootstrap</a>
to provide confidence intervals on our estimates. The
bootstrap-derived upper and lower bounds on estimates let you see
how accurate we believe those estimates to be. (Hover the mouse
over the table headers to see the confidence levels.)</p>
<p>A noisy benchmarking environment can cause some or many
measurements to fall far from the mean. These outlying
measurements can have a significant inflationary effect on the
estimate of the standard deviation. We calculate and display an
estimate of the extent to which the standard deviation has been
inflated by outliers.</p>
<script type="text/javascript">
$(function () {
function mangulate(rpt) {
var measured = function(key) {
var idx = rpt.reportKeys.indexOf(key);
return rpt.reportMeasured.map(function(r) { return r[idx]; });
};
var number = rpt.reportNumber;
var name = rpt.reportName;
var mean = rpt.reportAnalysis.anMean.estPoint;
var iters = measured("iters");
var times = measured("time");
var kdetimes = rpt.reportKDEs[0].kdeValues;
var kdepdf = rpt.reportKDEs[0].kdePDF;
var meanSecs = mean;
var units = $.timeUnits(mean);
var rgrs = rpt.reportAnalysis.anRegress[0];
var scale = units[0];
var olsTime = rgrs.regCoeffs.iters;
$(".olstimept" + number).text(function() {
return $.renderTime(olsTime.estPoint);
});
$(".olstimelb" + number).text(function() {
return $.renderTime(olsTime.estLowerBound);
});
$(".olstimeub" + number).text(function() {
return $.renderTime(olsTime.estUpperBound);
});
$(".olsr2pt" + number).text(function() {
return rgrs.regRSquare.estPoint.toFixed(3);
});
$(".olsr2lb" + number).text(function() {
return rgrs.regRSquare.estLowerBound.toFixed(3);
});
$(".olsr2ub" + number).text(function() {
return rgrs.regRSquare.estUpperBound.toFixed(3);
});
mean *= scale;
kdetimes = $.scaleBy(scale, kdetimes);
var kq = $("#kde" + number);
var k = $.plot(kq,
[{ label: name + " time densities",
data: $.zip(kdetimes, kdepdf),
}],
{ xaxis: { tickFormatter: $.unitFormatter(scale) },
yaxis: { ticks: false },
grid: { borderColor: "#777",
hoverable: true, markings: [ { color: '#6fd3fb',
lineWidth: 1.5, xaxis: { from: mean, to: mean } } ] },
});
var o = k.pointOffset({ x: mean, y: 0});
kq.append('<div class="meanlegend" title="' + $.renderTime(meanSecs) +
'" style="position:absolute;left:' + (o.left + 4) +
'px;bottom:139px;">mean</div>');
$.addTooltip("#kde" + number,
function(secs) { return $.renderTime(secs / scale); });
var timepairs = new Array(times.length);
var lastiter = iters[iters.length-1];
var olspairs = [[0,0], [lastiter, lastiter * scale * olsTime.estPoint]];
for (var i = 0; i < times.length; i++)
timepairs[i] = [iters[i],times[i]*scale];
iterFormatter = function() {
var denom = 0;
return function(iters) {
if (iters == 0)
return '';
if (denom > 0)
return (iters / denom).toFixed();
var power;
if (iters >= 1e9) {
denom = '1e9'; power = '&#x2079;';
}
if (iters >= 1e6) {
denom = '1e6'; power = '&#x2076;';
}
else if (iters >= 1e3) {
denom = '1e3'; power = '&#xb3;';
}
else denom = 1;
if (denom > 1) {
iters = (iters / denom).toFixed();
iters += '&times;10' + power + ' iters';
} else {
iters += ' iters';
}
return iters;
};
};
$.plot($("#time" + number),
[{ label: "regression", data: olspairs,
lines: { show: true } },
{ label: name + " times", data: timepairs,
points: { show: true } }],
{ grid: { borderColor: "#777", hoverable: true },
xaxis: { tickFormatter: iterFormatter() },
yaxis: { tickFormatter: $.unitFormatter(scale) } });
$.addTooltip("#time" + number,
function(iters,secs) {
return ($.renderTime(secs / scale) + ' / ' +
iters.toLocaleString() + ' iters');
});
if (0) {
var cyclepairs = new Array(cycles.length);
for (var i = 0; i < cycles.length; i++)
cyclepairs[i] = [cycles[i],i];
$.plot($("#cycle" + number),
[{ label: name + " cycles",
data: cyclepairs }],
{ points: { show: true },
grid: { borderColor: "#777", hoverable: true },
xaxis: { tickFormatter:
function(cycles,axis) { return cycles + ' cycles'; }},
yaxis: { ticks: false },
});
$.addTooltip("#cycles" + number, function(x,y) { return x + ' cycles'; });
}
};
var reports = [{"reportAnalysis":{"anMean":{"estUpperBound":2.37844799339728e-8,"estLowerBound":2.1825676261906123e-8,"estPoint":2.2358490252398955e-8,"estConfidenceLevel":0.95},"anRegress":[{"regRSquare":{"estUpperBound":0.9989817208021706,"estLowerBound":0.9387215822677026,"estPoint":0.9672797888132841,"estConfidenceLevel":0.95},"regResponder":"time","regCoeffs":{"y":{"estUpperBound":1.0084293191572847e-4,"estLowerBound":-1.155226968308219e-3,"estPoint":-4.469561509729347e-4,"estConfidenceLevel":0.95},"iters":{"estUpperBound":2.5456751523679732e-8,"estLowerBound":2.1606130773209622e-8,"estPoint":2.328437625058826e-8,"estConfidenceLevel":0.95}}}],"anStdDev":{"estUpperBound":5.028759887265124e-9,"estLowerBound":1.0410718832927102e-9,"estPoint":2.679739388766841e-9,"estConfidenceLevel":0.95},"anOutlierVar":{"ovFraction":0.9412781297226944,"ovDesc":"severe","ovEffect":"Severe"},"anOverhead":2.5188901607525295e-6},"reportKDEs":[{"kdeValues":[1.838833839962708e-8,1.854717510352417e-8,1.870601180742126e-8,1.8864848511318346e-8,1.9023685215215433e-8,1.9182521919112523e-8,1.934135862300961e-8,1.9500195326906697e-8,1.9659032030803787e-8,1.9817868734700874e-8,1.997670543859796e-8,2.013554214249505e-8,2.0294378846392138e-8,2.0453215550289225e-8,2.0612052254186315e-8,2.0770888958083402e-8,2.092972566198049e-8,2.108856236587758e-8,2.1247399069774666e-8,2.1406235773671753e-8,2.156507247756884e-8,2.172390918146593e-8,2.1882745885363017e-8,2.2041582589260108e-8,2.2200419293157195e-8,2.235925599705428e-8,2.251809270095137e-8,2.267692940484846e-8,2.2835766108745546e-8,2.2994602812642636e-8,2.3153439516539723e-8,2.331227622043681e-8,2.3471112924333897e-8,2.3629949628230987e-8,2.3788786332128074e-8,2.3947623036025164e-8,2.410645973992225e-8,2.4265296443819338e-8,2.4424133147716425e-8,2.4582969851613515e-8,2.4741806555510602e-8,2.4900643259407693e-8,2.505947996330478e-8,2.5218316667201866e-8,2.5377153371098953e-8,2.5535990074996044e-8,2.569482677889313e-8,2.585366348279022e-8,2.6012500186687308e-8,2.6171336890584395e-8,2.6330173594481482e-8,2.648901029837857e-8,2.664784700227566e-8,2.680668370617275e-8,2.6965520410069836e-8,2.7124357113966923e-8,2.728319381786401e-8,2.7442030521761097e-8,2.7600867225658187e-8,2.7759703929555277e-8,2.7918540633452364e-8,2.807737733734945e-8,2.8236214041246538e-8,2.8395050745143625e-8,2.8553887449040715e-8,2.8712724152937806e-8,2.8871560856834893e-8,2.903039756073198e-8,2.9189234264629067e-8,2.9348070968526154e-8,2.9506907672423244e-8,2.9665744376320334e-8,2.982458108021742e-8,2.998341778411451e-8,3.0142254488011595e-8,3.030109119190868e-8,3.0459927895805775e-8,3.061876459970286e-8,3.077760130359995e-8,3.0936438007497036e-8,3.109527471139412e-8,3.125411141529121e-8,3.14129481191883e-8,3.157178482308539e-8,3.173062152698248e-8,3.1889458230879565e-8,3.204829493477665e-8,3.220713163867374e-8,3.236596834257083e-8,3.252480504646791e-8,3.2683641750365006e-8,3.284247845426209e-8,3.300131515815918e-8,3.3160151862056267e-8,3.3318988565953354e-8,3.347782526985045e-8,3.3636661973747534e-8,3.379549867764462e-8,3.395433538154171e-8,3.4113172085438795e-8,3.427200878933589e-8,3.443084549323297e-8,3.458968219713006e-8,3.474851890102715e-8,3.4907355604924236e-8,3.506619230882132e-8,3.522502901271841e-8,3.5383865716615504e-8,3.5542702420512584e-8,3.570153912440968e-8,3.5860375828306765e-8,3.601921253220385e-8,3.6178049236100945e-8,3.6336885939998025e-8,3.649572264389512e-8,3.6654559347792206e-8,3.681339605168929e-8,3.697223275558638e-8,3.713106945948347e-8,3.728990616338056e-8,3.744874286727764e-8,3.7607579571174734e-8,3.776641627507182e-8,3.792525297896891e-8,3.8084089682866e-8,3.824292638676308e-8,3.8401763090660176e-8,3.856059979455726e-8],"kdeType":"time","kdePDF":[2.3481102410919257,63.894294495921024,1185.5540801316156,15699.582901092726,147236.84938511846,978637.8608385524,4609956.896432311,1.539427130940365e7,3.648314509726767e7,6.1663403711520754e7,7.597797849923423e7,7.485696235465941e7,7.749072326215708e7,1.0853881511996554e8,1.6908880759436116e8,2.3446059867843652e8,2.8403007058499676e8,3.291715402150776e8,3.991
reports.map(mangulate);
var benches = ["5/reverse","5/myReverse","5/betterReverse","5/vectorReverse","5/svectorReverse","5/uvectorReverse","100/reverse","100/myReverse","100/betterReverse","100/vectorReverse","100/svectorReverse","100/uvectorReverse","10000/reverse","10000/myReverse","10000/betterReverse","10000/vectorReverse","10000/svectorReverse","10000/uvectorReverse","1000000/reverse","1000000/myReverse","1000000/betterReverse","1000000/vectorReverse","1000000/svectorReverse","1000000/uvectorReverse",];
var ylabels = [[-0,'<a href="#b0">5/reverse</a>'],[-1,'<a href="#b1">5/myReverse</a>'],[-2,'<a href="#b2">5/betterReverse</a>'],[-3,'<a href="#b3">5/vectorReverse</a>'],[-4,'<a href="#b4">5/svectorReverse</a>'],[-5,'<a href="#b5">5/uvectorReverse</a>'],[-6,'<a href="#b6">100/reverse</a>'],[-7,'<a href="#b7">100/myReverse</a>'],[-8,'<a href="#b8">100/betterReverse</a>'],[-9,'<a href="#b9">100/vectorReverse</a>'],[-10,'<a href="#b10">100/svectorReverse</a>'],[-11,'<a href="#b11">100/uvectorReverse</a>'],[-12,'<a href="#b12">10000/reverse</a>'],[-13,'<a href="#b13">10000/myReverse</a>'],[-14,'<a href="#b14">10000/betterReverse</a>'],[-15,'<a href="#b15">10000/vectorReverse</a>'],[-16,'<a href="#b16">10000/svectorReverse</a>'],[-17,'<a href="#b17">10000/uvectorReverse</a>'],[-18,'<a href="#b18">1000000/reverse</a>'],[-19,'<a href="#b19">1000000/myReverse</a>'],[-20,'<a href="#b20">1000000/betterReverse</a>'],[-21,'<a href="#b21">1000000/vectorReverse</a>'],[-22,'<a href="#b22">1000000/svectorReverse</a>'],[-23,'<a href="#b23">1000000/uvectorReverse</a>'],];
var means = $.scaleTimes([2.2358490252398955e-8,4.4436941145299556e-8,2.275122735723411e-8,4.1671732796036996e-7,6.975841936879646e-8,6.925843908280533e-8,4.486931689301164e-7,1.0195661875784653e-6,4.3298605299216234e-7,3.38274136179026e-6,6.934741716236048e-7,6.763147099577562e-7,8.404068339648452e-5,1.018843258186528e-3,8.094225189166519e-5,4.874406423516324e-4,8.465469716167873e-5,8.302433383267748e-5,6.070360608160647e-2,0.15616956000529855,6.046765499354529e-2,5.609325219775799e-2,1.3486536819947735e-2,1.2224248519543568e-2,]);
var xs = [];
var prev = null;
for (var i = 0; i < means[0].length; i++) {
var name = benches[i].split(/\//);
name.pop();
name = name.join('/');
if (name != prev) {
xs.push({ label: name, data: [[means[0][i], -i]]});
prev = name;
}
else
xs[xs.length-1].data.push([means[0][i],-i]);
}
var oq = $("#overview");
o = $.plot(oq, xs, { bars: { show: true, horizontal: true,
barWidth: 0.75, align: "center" },
grid: { borderColor: "#777", hoverable: true },
legend: { show: xs.length > 1 },
xaxis: { max: Math.max.apply(undefined,means[0]) * 1.02 },
yaxis: { ticks: ylabels, tickColor: '#ffffff' } });
if (benches.length > 3)
o.getPlaceholder().height(28*benches.length);
o.resize();
o.setupGrid();
o.draw();
$.addTooltip("#overview", function(x,y) { return $.renderTime(x / means[1]); });
});
$(document).ready(function () {
$(".time").text(function(_, text) {
return $.renderTime(text);
});
$(".citime").text(function(_, text) {
return $.renderTime(text);
});
$(".percent").text(function(_, text) {
return (text*100).toFixed(1);
});
});
</script>
</div>
</div>
<div id="footer">
<div class="body">
<div class="footfirst">
<h2>colophon</h2>
<p>This report was created using the
<a href="http://hackage.haskell.org/package/criterion">criterion</a>
benchmark execution and performance analysis tool.</p>
<p>Criterion is developed and maintained
by <a href="http://www.serpentine.com/blog/">Bryan O'Sullivan</a>.</p>
</div>
</div>
</div>
</body>
</html>
Reference in a new issue Copy permalink