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Author vstinner
Recipients SilentGhost, Stefan Pochmann, paul.moore, rhettinger, serhiy.storchaka, steve.dower, terry.reedy, tim.golden, vstinner, zach.ware
Date 2020-02-11.13:00:47
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I close this issue. It's likely just a hiccup in the PGO compilation. It's not the thing that we can easily control. The good thing is that the common code path iter(list) is efficient ;-)

> The code for listiter_next() and listreviter_next() is almost the same. 

Right. It cannot explain a 2x slowdown.

> python -m timeit -s "a = list(range(1000))" "list(iter(a))"
> 50000 loops, best of 5: 5.73 usec per loop

It means around 5.73 ns per iteration. This is almost "nothing": just a few CPU cycles. For such microbenchmark, you are very close to the bare metal. You have to take in account CPU low-level metrics like usage of the CPU caches.

> Another possible cause is that this is just a random build outcome due to PGO or incidental branch mis-prediction from aliasing (as described in ).

If someone cares about such microbenchmark, I suggest to get access to a profiling tool and measure the CPU cache usage and other metrics like that. On Linux, I know the "perf" command which can be used. I don't know performance tooling on Windows. Maybe search in Intel developer tools.

I expect that list(iter(a)) better uses the CPU (cache? branch predictor?) than list(reversed(a)), because of how listiter_next() and listreviter_next() have been optimized.

Bad code placement has a high cost on performance on such microbenchmarks. See:

Date User Action Args
2020-02-11 13:00:48vstinnersetrecipients: + vstinner, rhettinger, terry.reedy, paul.moore, tim.golden, SilentGhost, zach.ware, serhiy.storchaka, steve.dower, Stefan Pochmann
2020-02-11 13:00:48vstinnersetmessageid: <>
2020-02-11 13:00:48vstinnerlinkissue39521 messages
2020-02-11 13:00:47vstinnercreate