criterion performance measurements

overview

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vector, pure

lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 5.7774416513684904e-5 5.786299529054173e-5 5.800763557211316e-5
Standard deviation 2.8450897785973335e-7 3.979815779558528e-7 5.535760263512166e-7

Outlying measurements have no (7.751464843750192e-3%) effect on estimated standard deviation.

vector, monadic

lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 3.0445285073367397e-4 3.047244100465291e-4 3.053036702422851e-4
Standard deviation 7.592917484590238e-7 1.3017537856182755e-6 2.3620772058639825e-6

Outlying measurements have slight (1.0525124490719783e-2%) effect on estimated standard deviation.

conduit, pure

lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 5.805609321175472e-5 5.8224971073199394e-5 5.8502686143135456e-5
Standard deviation 5.102876940446677e-7 6.819033115391721e-7 1.0123197262726193e-6

Outlying measurements have slight (5.902349342649713e-2%) effect on estimated standard deviation.

conduit, monadic

lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 8.619200844734316e-5 8.627590696536751e-5 8.637983278871134e-5
Standard deviation 2.4294026820002905e-7 2.9620449605356533e-7 3.9233199238636454e-7

Outlying measurements have no (8.263888888888888e-3%) effect on estimated standard deviation.

understanding this report

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.

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.

We use a statistical technique called the bootstrap 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.)

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.