2017-03-14 15:42 GMT+01:00 Nick Coghlan <ncogh...@gmail.com>: > That would suggest that the implicit assumption of a measure-of-centrality > with a measure-of-symmetric-deviation may need to be challenged, as at least > some meaningful performance problems are going to show up as non-normal > distributions in the benchmark results. > > Network services typically get around the "inherent variance" problem by > looking at a few key percentiles like 50%, 90% and 95%. Perhaps that would > be appropriate here as well?
Right now, there is almost no visualisation tool for perf :-( It started to list projects that may be reused to visualize benchmark results, to "see" the distribution. A first step would be to add these "key percentiles like 50%, 90% and 95%" to the perf stats command. I don't know how to compute them. But my question is for the most important summary: the result of the "perf show" command, which is what most users see except if they use more advanced commands. Victor _______________________________________________ Speed mailing list Speed@python.org https://mail.python.org/mailman/listinfo/speed
