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<title>event_serialization/262144 - Criterion.rs</title>
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<div class="body">
<h2>event_serialization/262144</h2>
<div class="absolute">
<section class="plots">
<table width="100%">
<tbody>
<tr>
<td>
<a href="pdf.svg">
<img src="pdf_small.svg" alt="PDF of Slope" width="450" height="300" />
</a>
</td>
<td>
<a href="regression.svg">
<img src="regression_small.svg" alt="Regression" width="450" height="300" />
</a>
</td>
</tr>
</tbody>
</table>
</section>
<section class="stats">
<div class="additional_stats">
<h4>Additional Statistics:</h4>
<table>
<thead>
<tr>
<th></th>
<th title="0.95 confidence level" class="ci-bound">Lower bound</th>
<th>Estimate</th>
<th title="0.95 confidence level" class="ci-bound">Upper bound</th>
</tr>
</thead>
<tbody>
<tr>
<td>Slope</td>
<td class="ci-bound">11.788 us</td>
<td>11.882 us</td>
<td class="ci-bound">11.993 us</td>
</tr>
<tr>
<td>Throughput</td>
<td class="ci-bound">20.357 GiB/s</td>
<td>20.547 GiB/s</td>
<td class="ci-bound">20.712 GiB/s</td>
</tr>
<tr>
<td>R&#xb2;</td>
<td class="ci-bound">0.8054082</td>
<td>0.8126215</td>
<td class="ci-bound">0.8026100</td>
</tr>
<tr>
<td>Mean</td>
<td class="ci-bound">12.233 us</td>
<td>12.339 us</td>
<td class="ci-bound">12.446 us</td>
</tr>
<tr>
<td title="Standard Deviation">Std. Dev.</td>
<td class="ci-bound">460.63 ns</td>
<td>544.55 ns</td>
<td class="ci-bound">637.58 ns</td>
</tr>
<tr>
<td>Median</td>
<td class="ci-bound">12.291 us</td>
<td>12.429 us</td>
<td class="ci-bound">12.594 us</td>
</tr>
<tr>
<td title="Median Absolute Deviation">MAD</td>
<td class="ci-bound">350.89 ns</td>
<td>567.43 ns</td>
<td class="ci-bound">707.92 ns</td>
</tr>
</tbody>
</table>
</div>
<div class="additional_plots">
<h4>Additional Plots:</h4>
<ul>
<li>
<a href="typical.svg">Typical</a>
</li>
<li>
<a href="mean.svg">Mean</a>
</li>
<li>
<a href="SD.svg">Std. Dev.</a>
</li>
<li>
<a href="median.svg">Median</a>
</li>
<li>
<a href="MAD.svg">MAD</a>
</li>
<li>
<a href="slope.svg">Slope</a>
</li>
</ul>
</div>
</section>
<section class="explanation">
<h4>Understanding this report:</h4>
<p>The plot on the left displays the average time per iteration for this benchmark. The shaded region
shows the estimated probability of an iteration taking a certain amount of time, while the line
shows the mean. Click on the plot for a larger view showing the outliers.</p>
<p>The plot on the right shows the linear regression calculated from the measurements. Each point
represents a sample, though here it shows the total time for the sample rather than time per
iteration. The line is the line of best fit for these measurements.</p>
<p>See <a href="https://bheisler.github.io/criterion.rs/book/user_guide/command_line_output.html#additional-statistics">the
documentation</a> for more details on the additional statistics.</p>
</section>
</div>
<section class="plots">
<h3>Change Since Previous Benchmark</h3>
<div class="relative">
<table width="100%">
<tbody>
<tr>
<td>
<a href="both/pdf.svg">
<img src="relative_pdf_small.svg" alt="PDF Comparison" width="450"
height="300" />
</a>
</td>
<td>
<a href="both/regression.svg">
<img src="relative_regression_small.svg" alt="Regression Comparison" width="450"
height="300" />
</a>
</td>
</tr>
</tbody>
</table>
</div>
</section>
<section class="stats">
<div class="additional_stats">
<h4>Additional Statistics:</h4>
<table>
<thead>
<tr>
<th></th>
<th title="0.95 confidence level" class="ci-bound">Lower bound</th>
<th>Estimate</th>
<th title="0.95 confidence level" class="ci-bound">Upper bound</th>
<th></th>
</tr>
</thead>
<tbody>
<tr>
<td>Change in time</td>
<td class="ci-bound">-40.550%</td>
<td>-39.836%</td>
<td class="ci-bound">-39.179%</td>
<td>(p = 0.00 &lt;
0.05)</td>
</tr>
<tr>
<td>Change in throughput</td>
<td class="ci-bound">+68.209%</td>
<td>+66.211%</td>
<td class="ci-bound">+64.417%</td>
<td></td>
</tr>
</tbody>
</table>
Performance has improved.
</div>
<div class="additional_plots">
<h4>Additional Plots:</h4>
<ul>
<li>
<a href="change/mean.svg">Change in mean</a>
</li>
<li>
<a href="change/median.svg">Change in median</a>
</li>
<li>
<a href="change/t-test.svg">T-Test</a>
</li>
</ul>
</div>
</section>
<section class="explanation">
<h4>Understanding this report:</h4>
<p>The plot on the left shows the probability of the function taking a certain amount of time. The red
curve represents the saved measurements from the last time this benchmark was run, while the blue curve
shows the measurements from this run. The lines represent the mean time per iteration. Click on the
plot for a larger view.</p>
<p>The plot on the right shows the two regressions. Again, the red line represents the previous measurement
while the blue line shows the current measurement.</p>
<p>See <a href="https://bheisler.github.io/criterion.rs/book/user_guide/command_line_output.html#change">the
documentation</a> for more details on the additional statistics.</p>
</section>
</div>
<div id="footer">
<p>This report was generated by
<a href="https://github.com/bheisler/criterion.rs">Criterion.rs</a>, a statistics-driven benchmarking
library in Rust.</p>
</div>
</body>
</html>