Re: [isabelle-dev] Nontermination in HOL-Corec_Examples on Epyc

2018-06-22 Thread Lars Hupel
> But there are still (spurious) issues with some AFP sessions. With high
> contention (a total of 64 worker threads at the same time, e.g. with
> threads=2 and -j 32), some sessions will run into suspicious timeouts:
> 
> Timing Median_Of_Medians_Selection (2 threads, 25.039s elapsed time,
> 44.468s cpu time, 2.451s GC time, factor 1.78)
> *** Timeout
> Median_Of_Medians_Selection FAILED

Here are the offending sessions:

Dict_Construction
Hidden_Markov_Models
Median_Of_Medians_Selection
Mason_Stothers

They fail spuriously (except for the last one, which fails reproducibly)
when running with a total of 64 or even 128 worker threads:

./isabelle/bin/isabelle build -cbv -a -d afp-devel/thys/ -X slow -o
threads=2 -j 32

./isabelle/bin/isabelle build -cbv -a -d afp-devel/thys/ -X slow -o
threads=4 -j 32

None of this happens when using a total of just 32 worker threads.

Makarius, David, this probably requires another round of analysis.

Isabelle/b6e48841d0a5
AFP/00e13b87d199
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Re: [isabelle-dev] Nontermination in HOL-Corec_Examples on Epyc

2018-06-22 Thread Lars Hupel
>> So far it looks good, but we still need to test all of AFP.
> 
> I will do that today and report my findings.

The machine has been busy since yesterday running the distribution and
the AFP (except for slow) multiple times using different parameters.

The distribution is working fine.

But there are still (spurious) issues with some AFP sessions. With high
contention (a total of 64 worker threads at the same time, e.g. with
threads=2 and -j 32), some sessions will run into suspicious timeouts:

Timing Median_Of_Medians_Selection (2 threads, 25.039s elapsed time,
44.468s cpu time, 2.451s GC time, factor 1.78)
*** Timeout
Median_Of_Medians_Selection FAILED

The timeout for this session is 50 seconds. So I assume that this is
again a problem where the session itself runs through fine, but
something after that is not working well.

I'll send an update when I have more data points.
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