[Python-Dev] OS-X builds for 3.7.0

[Steve Holden]

The horizontal axis labelling in that graph is useless with so many tests
included!

Would a graphic with hover labels over the bars be more useful?

Steve Holden

On Wed, Jan 31, 2018 at 1:06 PM, Victor Stinner <victor.stinner at gmail.com>
wrote:

> There is https://speed.python.org/comparison/ to compare Python 2.7, 3.5,
> 3.6 and master (future 3.7).
>
> Victor
>
> Le 31 janv. 2018 13:14, "Ray Donnelly" <mingw.android at gmail.com> a écrit :
>
>> On Wed, Jan 31, 2018 at 11:16 AM, Joni Orponen <j.orponen at 4teamwork.ch>
>> wrote:
>> > On Wed, Jan 31, 2018 at 9:31 AM, Ray Donnelly <mingw.android at gmail.com>
>> > wrote:
>> >>
>> >> We see a 1.1 to 1.2 times performance benefit over official releases as
>> >> measured using 'python performance'.
>> >>
>> >> Apart from a static interpreter we also enable LTO and PGO and only
>> build
>> >> for 64-bit so I'm not sure how much each bit continues. Our recipe for
>> >> python 3.6 can be found at:
>> >
>> >
>> > Do you metrify LTO and PGO independent of each other as well or only the
>> > "enable everything" combo? I've had mixed results with LTO so far, but
>> this
>> > is probably hardware / compiler combination specific.
>>
>> I've never found enough time to take detailed metrics, sorry. Maybe
>> one day? Looking at my performance graphs again:
>>
>> Against the official CPython 3.6 (probably .3 or .4) release I see:
>> 1 that is 2.01x faster (python-startup, 24.6ms down to 12.2ms)
>> 5 that are >=1.5x,<1.6x faster.
>> 13 that are >=1.4x,<1.5x faster.
>> 21 that are >=1.3x,<1.4x faster.
>> 14 that are >=1.2x,<1.3x faster.
>> 5 that are >=1.1x,<1.2x faster.
>> 0 that are < 1.1x faster/slower.
>>
>> Pretty good numbers overall I think.
>>
>>
>>
>>
>> >
>> > --
>> > Joni Orponen
>> >
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>> >
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>
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