[gpaw-users] Gpaw on taito (CSC)
Marcin Dulak
Marcin.Dulak at fysik.dtu.dk
Fri Jul 25 15:35:26 CEST 2014
On 07/25/2014 03:26 PM, Marcin Dulak wrote:
> On 07/25/2014 02:04 PM, leonardo espinosa wrote:
>> Hi,
>>
>> I've have tested different combinations of optimization algorithms
>> with the option that
>> Marcin suggested: export OMP_NUM_THREADS=1, and different
>> combinations of versions of ase/gpaw.
>> The calculation still crashes with the same error message. I tried
>> other options such us:
>>
>> export NUMEXPR_NUM_THREADS=1
>> export MKL_NUM_THREADS=1
>> export MKL_DOMAIN_NUM_THREADS=1
>> export OMP_NUM_THREADS=1
>> export OPENBLAS_NUM_THREADS=1
>> export GOTO_NUM_THREADS=1
>>
>> But nothing, the same error message.
>>
>> Maybe I should start from the scratch, installing my own version.
>> However I though that somebody, gpaw user in TAITO can give
>> me a hand with a script o some hints.
>>
> when you run tests in parallel (e.g. on 8 cores), do any fail?
> mpiexec gpaw-python `which gpaw-test`
please see also this comment (are you using scalapack?):
http://listserv.fysik.dtu.dk/pipermail/gpaw-users/2014-January/002523.html
Best regards,
Marcin
>
> Best regards,
>
> Marcin
>
>> Thanks again and any help with this annoying bug is always welcome.
>>
>> Best,
>>
>> leo
>>
>>
>>
>> ---
>> Leonardo A. Espinosa L.
>> Postdoctoral Researcher,
>> Aalto University,
>> Espoo, Finland.
>> http://goo.gl/WjBIXv <http://yonk.is/gI3>
>>
>>
>>
>>
>> On Thu, Jul 24, 2014 at 5:33 PM, Marcin Dulak
>> <Marcin.Dulak at fysik.dtu.dk <mailto:Marcin.Dulak at fysik.dtu.dk>> wrote:
>>
>> On 07/24/2014 08:39 AM, Jens Jørgen Mortensen wrote:
>>> On 07/23/2014 04:41 PM, leonardo espinosa wrote:
>>>> Hi Ask,
>>>>
>>>> Here I attached you the files,
>>>> thanks for your help.
>>>
>>> It looks like the positions are out of sync on the different
>>> cores. I think GPAW should return identical energies and forces
>>> from all cores. Maybe the BFGS algorithm is causing this? If
>>> that is the case then how do we deal with this?
>> is GPAW or numpy linked against a multithreaded blas?
>> From
>> https://wiki.fysik.dtu.dk/gpaw/install/installationguide.html -
>> "Multithreading is not supported."
>> For some libraries like mkl,openblas you can disable
>> multithreading with: export OMP_NUM_THREADS=1
>>
>> Best regards,
>>
>> Marcin
>>
>>
>>>
>>> Maybe GPAW should accept a small divergence in the positions due
>>> to numerical noise and then just use the positions from rank 0?
>>>
>>> Jens Jørgen
>>>
>>>> leo
>>>>
>>>> ---
>>>> Leonardo A. Espinosa L.
>>>> Postdoctoral Researcher,
>>>> Aalto University,
>>>> Espoo, Finland.
>>>> http://goo.gl/WjBIXv <http://yonk.is/gI3>
>>>>
>>>>
>>>>
>>>>
>>>> On Wed, Jul 23, 2014 at 5:26 PM, Ask Hjorth Larsen
>>>> <asklarsen at gmail.com <mailto:asklarsen at gmail.com>> wrote:
>>>>
>>>> Hi Leonardo
>>>>
>>>> What is the error? Also the logfile.
>>>>
>>>> Best regards
>>>> Ask
>>>>
>>>> 2014-07-23 16:23 GMT+02:00 leonardo espinosa
>>>> <espinosa.leal at gmail.com <mailto:espinosa.leal at gmail.com>>:
>>>> > Dear gpaw users,
>>>> >
>>>> > I'm trying to run a simple BFGS optimization of a benzene
>>>> > molecule on taito cluster
>>>> (https://research.csc.fi/taito-user-guide),
>>>> > using different versions of gpaw: 0.9.0 and 0.10.0. I'm
>>>> having
>>>> > some problems because after certain number of iterations the
>>>> > calculation crashes, anybody here that use gpaw-0.10.0 on
>>>> taito
>>>> > without problem? Can you supply me with an example that runs?
>>>> >
>>>> > I attached you here the files that I'm using.
>>>> >
>>>> > Best regards,
>>>> >
>>>> > leo
>>>> >
>>>> >
>>>> >
>>>> >
>>>> > ---
>>>> > Leonardo A. Espinosa L.
>>>> > Postdoctoral Researcher,
>>>> > Aalto University,
>>>> > Espoo, Finland.
>>>> > http://goo.gl/WjBIXv
>>>> >
>>>> >
>>>> >
>>>>
>
--
***********************************
Marcin Dulak
Technical University of Denmark
Department of Physics
Building 307, Room 229
DK-2800 Kongens Lyngby
Denmark
Tel.: (+45) 4525 3157
Fax.: (+45) 4593 2399
email: Marcin.Dulak at fysik.dtu.dk
***********************************
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