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Using the geometric mean gives a consistent ranking, as in: Computer A is faster than computer B. If we use Arithmetic mean (average) we don't get a consistent ranking when ''we normalize to different machines''. However, the arithmetic does give you an ''execution time'' average while the geometric mean gives you a composite measure. | Using the geometric mean gives a consistent ranking ''no matter which machine you normalize to'', as in: Computer A is faster than computer B. The Arithmetic mean (average) does not give a consistent ranking when ''we normalize to different machines''. However, the arithmetic mean does give you an ''execution time'' average while the geometric mean ''''does not!'''' Instead, it gives you a composite measure. |
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Normalize: Given a reference execution time A, take the execution time you have (B) and divide it by the reference execution time. What you get is a normalized execution time of B with respect to A.
Excution time of B Normalized(B) = ---------------------------- Reference Execution Time A
Given several programs P1, P2, ..., Pn, the average (GeometricMean) normalized execution time is
For (i=1; i++, <= n) { P *= Normalized(Pi) } return P^(1/n) or _____________ / n n / __ / || Normalized(Pi) \/ i=1
Using the geometric mean gives a consistent ranking no matter which machine you normalize to, as in: Computer A is faster than computer B. The Arithmetic mean (average) does not give a consistent ranking when we normalize to different machines. However, the arithmetic mean does give you an execution time average while the geometric mean 'does not!' Instead, it gives you a composite measure.
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