Dear Prof. Giannozzi,
Thank you for your explanation. Since then, I have tried many
combinations of {Fermi-Dirac, Gaussian} smearing and {0.0020, 0.0043,
0.0062, 0.0081, and 0.0570} degauss with respect to {24, 32, 40, 56}
MPI. By using Gaussian broadening, calculations were faster than
Fermi-Dirac, but I still obtained discrepancies in any combination of
smearing and degauss, unfortunately. I collected the results in the
PDF below. Differences in my input are shown in blue, and resulting
discrepancies are shown in red.
==Result table==
https://www.scl.kyoto-u.ac.jp/~tchiba/SCF-discrepancy.pdf
==
Can I conclude that this is unavoidable? Is there anything that I can try?
---Sender---
Takahiro Chiba
Graduate school of CSE, Hokkaido University, Japan
takahiro_ch...@eis.hokudai.ac.jp
-----
On Fri, Oct 7, 2022 at 5:42 AM Paolo Giannozzi <paolo.gianno...@uniud.it> wrote:
>
> On 06/10/2022 09:18, Takahiro Chiba wrote:
> > It does not always happen. For example, no discrepancy was found with
> > the "ausurf" benchmark. Therefore, I expect there is something wrong
> > with my input rather than compile/install issues.
>
> it's not necessarily something wrong in your input. Apparently your run
> is quite hard to converge. Even the numerical noise that is unavoidable
> in a large calculation may occasionally lead the scf procedure towards a
> different path that converges badly (or better), for no apparent good
> reason. Notice that the run that exhibits the largest discrepancy in the
> energy (the one with 32 processors) is also the one that makes a
> disproportionate number of iterations (452 vs 63-67 for the three other
> runs).
>
> Something that might help is to use a larger broadening (degauss) and a
> gaussian broadening
>
> Paolo
>
> >
> >
> >
> > ---Sender---
> > Takahiro Chiba
> > Grad. school of chem. sci. and eng., Hokkaido Univ.
> > Group:
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> --
> Paolo Giannozzi, Dip. Scienze Matematiche Informatiche e Fisiche,
> Univ. Udine, via delle Scienze 208, 33100 Udine, Italy
> Phone +39-0432-558216, fax +39-0432-558222
_______________________________________________
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