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| Lower bound | Estimate | Upper bound | |
|---|---|---|---|
| Slope | 12372.4548 stalled_fe_cycles | 12588.9812 stalled_fe_cycles | 12783.6714 stalled_fe_cycles |
| Throughput | 0.9554 stalled_fe_cycles/byte | 0.9409 stalled_fe_cycles/byte | 0.9247 stalled_fe_cycles/byte |
| R² | 0.2713181 | 0.2741135 | 0.2718491 |
| Mean | 9216.9067 stalled_fe_cycles | 10130.1644 stalled_fe_cycles | 11012.0285 stalled_fe_cycles |
| Std. Dev. | 4092.8909 stalled_fe_cycles | 4605.1448 stalled_fe_cycles | 4991.8265 stalled_fe_cycles |
| Median | 12396.1674 stalled_fe_cycles | 12614.8826 stalled_fe_cycles | 12847.0632 stalled_fe_cycles |
| MAD | 1154.7452 stalled_fe_cycles | 1953.3552 stalled_fe_cycles | 2747.7463 stalled_fe_cycles |
The plot on the left displays the average time per iteration for this benchmark. The shaded region shows the estimated probabilty 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.
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.
See the documentation for more details on the additional statistics.
| Lower bound | Estimate | Upper bound | ||
|---|---|---|---|---|
| Change in time | -84.320% | -81.886% | -79.117% | (p = 0.00 < 0.05) |
| Change in throughput | +537.75% | +452.06% | +378.85% |
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.
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.
See the documentation for more details on the additional statistics.