[petsc-users] Memory usage scaling with number of processors

Matthew Knepley knepley at gmail.com
Wed Jul 24 05:41:04 CDT 2024


On Tue, Jul 23, 2024 at 8:02 PM Matthew Thomas <matthew.thomas1 at anu.edu.au>
wrote:

> Hello Matt,
>
> I have attached the output with mat_view for 8 and 40 processors.
>
> I am unsure what is meant by the matrix communicator and the partitioning.
> I am using the default behaviour in every case. How can I find this
> information?
>

This shows that the matrix is taking the same amount of memory for 8 and 40
procs, so that is not your problem. Also,
it is a very small amount of memory:

  100K rows x 3 nz/row x 8 bytes/nz = 2.4 MB

and 50% overhead for indexing, so something under 4MB. I am not sure what
is taking up the rest of the memory, but I do not
think it is PETSc from the log you included.

  Thanks,

     Matt


> I have attached the log view as well if that helps.
>
> Thanks,
> Matt
>
>
>
>
> On 23 Jul 2024, at 9:24 PM, Matthew Knepley <knepley at gmail.com> wrote:
>
> You don't often get email from knepley at gmail.com. Learn why this is
> important <https://urldefense.us/v3/__https://aka.ms/LearnAboutSenderIdentification__;!!G_uCfscf7eWS!b_JFRb7MxmdPHCjjuC42vps0Cvkz5tuUTRRK-Yh20xdmpvEHr2guqznV0TGVXhEiNnXVEZeCCPSlW0d23Zev$ >
> Also, you could run with
>
>   -mat_view ::ascii_info_detail
>
> and send the output for both cases. The storage of matrix values is not
> redundant, so something else is
> going on. First, what communicator do you use for the matrix, and what
> partitioning?
>
>   Thanks,
>
>      Matt
>
> On Mon, Jul 22, 2024 at 10:27 PM Barry Smith <bsmith at petsc.dev> wrote:
>
> This Message Is From an External Sender
> This message came from outside your organization.
>
>
>   Send the code.
>
> On Jul 22, 2024, at 9:18 PM, Matthew Thomas via petsc-users <
> petsc-users at mcs.anl.gov> wrote:
>
> This Message Is From an External Sender
> This message came from outside your organization.
>
> Hello,
>
> I am using petsc and slepc to solve an eigenvalue problem for sparse matrices. When I run my code with double the number of processors, the memory usage also doubles.
>
> I am able to reproduce this behaviour with ex1 of slepc’s hands on exercises.
>
> The issue is occurring with petsc not with slepc as this still occurs when I remove the solve step and just create and assemble the petsc matrix.
>
> With n=100000, this uses ~1Gb with 8 processors, but ~5Gb with 40 processors.
>
> This was done with petsc 3.21.3, on linux compiled with Intel using Intel-MPI
>
> Is this the expected behaviour? If not, how can I bug fix this?
>
>
> Thanks,
> Matt
>
>
>
>
> --
> What most experimenters take for granted before they begin their
> experiments is infinitely more interesting than any results to which their
> experiments lead.
> -- Norbert Wiener
>
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>
>

-- 
What most experimenters take for granted before they begin their
experiments is infinitely more interesting than any results to which their
experiments lead.
-- Norbert Wiener

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