[aspect-devel] Active tracers with AMR

[Timo Heister]

Lev,

I ran a modified example here successfully. Could it be that you are
running out of memory? You are generating 30+GB of particle output for
a single time step and this has to fit into main memory temporarily.

On Wed, Nov 29, 2017 at 9:14 PM, Timo Heister <heister at clemson.edu> wrote:
> Lev,
>
> first, is this reproducible? Does the number of processors matter?
>
> Also, I don't have the necessary plugins to run this here. Can you
> also share the output.txt so I can see when the problem happens?
>
>
>
> On Wed, Nov 29, 2017 at 7:55 PM, Lev Karatun <lev.karatun at gmail.com> wrote:
>> Hi Timo,
>>
>> sure, I attached the prm file.
>>
>> Best regards,
>> Lev Karatun.
>>
>> 2017-11-29 16:06 GMT-05:00 Timo Heister <heister at clemson.edu>:
>>>
>>> Lev,
>>>
>>> can you share the complete setup with us (or me privately)?
>>>
>>> On Nov 29, 2017 16:04, "Lev Karatun" <lev.karatun at gmail.com> wrote:
>>>
>>> Hi everyone,
>>>
>>> I was trying to run a model with active tracers and AMR, but it crashes at
>>> initial adaptive refinement step. This is the error that I get:
>>>>
>>>> [titan:42726] *** An error occurred in MPI_Irecv
>>>> [titan:42726] *** reported by process [140028719661057,214748364813]
>>>> [titan:42726] *** on communicator MPI COMMUNICATOR 4 DUP FROM 3
>>>> [titan:42726] *** MPI_ERR_COUNT: invalid count argument
>>>> [titan:42726] *** MPI_ERRORS_ARE_FATAL (processes in this communicator
>>>> will now abort,
>>>> [titan:42726] ***    and potentially your MPI job)
>>>
>>>
>>> Here are the relevant model parameters:
>>>
>>> subsection Particles
>>> set Number of particles = 1e7
>>> set List of particle properties = velocity, initial composition,
>>> composition, initial position, integrated strain, integrated strain
>>> invariant
>>> set Interpolation scheme = cell average
>>> set Particle generator name = random uniform
>>> set Minimum particles per cell = 10
>>> set Time between data output = 1e6
>>> set Particle weight = 20
>>> end
>>>
>>> I tried the same model without AMR (refinement 5+0 instead of 4+1) and it
>>> works fine. If anyone has any ideas on what I can try to do to fix the
>>> problem, I'd appreciate it!
>>>
>>> Best regards,
>>> Lev Karatun.
>>>
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>>>
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>>
>>
>>
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>
>
>
> --
> Timo Heister
> http://www.math.clemson.edu/~heister/



-- 
Timo Heister
http://www.math.clemson.edu/~heister/