Hi Ramoni,
All EM induction methods solved numerically like finite differences are
difficult already because of the null-space of the curl-curl equations and then
adding air layers on top of your model also introduce another singularity.
These have been dealt with in the past by adding in some
We are solving the Direct Problem of Controlled Source Electromagnetics
(CSEM) using finite difference discretization.
Em qua., 8 de nov. de 2023 às 13:22, Jed Brown escreveu:
> What sort of problem are you solving? Algebraic multigrid like gamg or
> hypre are good choices for elliptic
What sort of problem are you solving? Algebraic multigrid like gamg or hypre
are good choices for elliptic problems. Sparse triangular solves have horrific
efficiency even on one GPU so you generally want to do your best to stay away
from them.
"Ramoni Z. Sedano Azevedo" writes:
> Hey!
>
> I
Unfortunately, ILU(3) is not something that runs well on GPUs so ideally,
we should find a preconditioner that works well in terms of iteration count but
also runs well on GPUs. You can start by saying a bit about the nature of your
problem. Is it a PDE? What type of discretization?
Hey!
I am using PETSC in Fortran code and we apply the MPI process to
parallelize the code.
At the moment, the options that have been used are
-ksp_monitor_true_residual
-ksp_type bcgs
-pc_type bjacobi
-sub_pc_type ilu
-sub_pc_factor_levels 3
-sub_pc_factor_fill 6
Now, we want to use multiple
