INADA Naoki songofacandy at gmail.com
Thu Mar 30 04:30:22 EDT 2017

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>
> Running further trials indicate that the problem actually is related to
> swapping. If I reduce the model size in the benchmark slightly so that
> everything fits into the main memory, the problem disappears. Only when the
> memory usage exceeds the 32GB that I have, Python 3.6 will acquire way more
> memory (from the swap) than Python 3.5.
>
> Jan
> --

It's very hard to believe...
I think there are some factor other than swap cause the problem.
Or, can't it reproducible in 64GB RAM machine?

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