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Not sure if this is really useful, will be getting back to this.
==Note of advice==
Simple functions gets close to the baseline in run time and because of that will be very noisy. When calculating a mean we actually do a low-pass filtering, removing high frequency noise. Still there will be noise and the only way to avoid it is to make longer runs (larger sets and more sets). Take note of the maximum and minimum run time, if they are to far from each other, or the standard deviation gets large, then it is very likely that the load situation on the server makes it difficult to get good results.
Note that a function consisting of one or two lines can be just fractions slower than the baseline function, but add a few function calls and the load explodes.
If the function is very simple, use the timing info. If the function is rather complex, use the relative load info.
Do not trust the measurement if they seems fishy, do trust your instinct. Especially, do not use higher order functions without thorough investigation even if they look very promising on simple cases!
==See also==
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