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| Lower bound | Estimate | Upper bound | |
|---|---|---|---|
| Slope | 40933.7571 stalled_fe_cycles | 41193.0752 stalled_fe_cycles | 41427.6034 stalled_fe_cycles |
| Throughput | 1.0357 stalled_fe_cycles/byte | 1.0298 stalled_fe_cycles/byte | 1.0233 stalled_fe_cycles/byte |
| R² | 0.8900351 | 0.8944922 | 0.8908432 |
| Mean | 39017.0244 stalled_fe_cycles | 40282.7579 stalled_fe_cycles | 41393.5827 stalled_fe_cycles |
| Std. Dev. | 2937.3979 stalled_fe_cycles | 6068.4026 stalled_fe_cycles | 8800.8193 stalled_fe_cycles |
| Median | 40558.1783 stalled_fe_cycles | 40977.1639 stalled_fe_cycles | 41200.1800 stalled_fe_cycles |
| MAD | 1314.3090 stalled_fe_cycles | 1686.4934 stalled_fe_cycles | 2122.2124 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 | -22.606% | -18.658% | -14.948% | (p = 0.00 < 0.05) |
| Change in throughput | +29.208% | +22.937% | +17.575% |
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.