[petsc-users] Hypre (GPU) memory consumption

[Mark Adams]

You might try with -pc_type jacobi (and remove mat_type hypre) to get a
baseline. Does that work and how much memory usage do you see?
>From there you could try -pc_type gamg to test the built-in AMG.
However, 32M equations in 3D (Lapalcian?) might be too much. AMG does use a
lot of memory.

On Fri, Dec 3, 2021 at 7:57 AM Karthikeyan Chockalingam - STFC UKRI <
karthikeyan.chockalingam at stfc.ac.uk> wrote:

> Hello,
>
>
>
> I am able to successfully run hypre on gpus but the problem seems to
> consumption a lot of memory.  I ran ksp/ksp/tutorial/ex45 on a grid of 320
> x 320 x 320 using 6 gpus by the following options
>
>
>
> mpirun -n 6 ./ex45 -da_grid_x 320 -da_grid_y 320 -da_grid_z 320
> -dm_mat_type hypre -dm_vec_type cuda -ksp_type cg -pc_type hypre
> -pc_hypre_type boomeramg  -ksp_monitor -log_view -malloc_dump  -memory_view
> -malloc_log
>
>
>
> From the log_view out (also attached) I get the following memory
> consumption:
>
>
>
> Summary of Memory Usage in PETSc
>
> Maximum (over computational time) process memory:           total
> 9.7412e+09 max 1.6999e+09 min 1.5368e+09
>
> Current process memory:
>                               total 8.1640e+09 max 1.4359e+09 min 1.2733e+09
>
> Maximum (over computational time) space PetscMalloc()ed: total 7.7661e+08
> max 1.3401e+08 min 1.1148e+08
>
> Current space PetscMalloc()ed:
>                                     total 1.8356e+06 max 3.0594e+05 min
> 3.0594e+05
>
>
>
> Each gpu is a Nvidia Tesla V100 – even using 4 gpus the system runs out of
> cuda memory alloc for the above problem. From the above listed memory
> output I believe the problem should be able to run on one gpu. Is the
> memory usage of hypre not listed include above?
>
>
>
> Best,
>
> Karthik.
>
>
>
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