Hi folks,
I'm trying to solve a 3D problem in parallel using an AMG preconditioner,
but the performance is bad. I'm wondering if I can get some advice from
someone who has experience choosing and tuning multigrid preconditioners,
particularly for problems in 3D.
For context:
- The problem
On 3/3/22 03:48, PUNITH M wrote:
*/apps/libs/Trillions-13.2/lib/libkokkoscore.a(Kokkos_Profiling.cpp.o):
requires dynamic R_X86_64_32 reloc which may overflow at runtime; recompile
with -fPIC*
You will need to install Trilinos with shared libraries. Nothing should be
built with static librari
Hermes,
There is a couple of things that you could do but it probably won't give
you a significant speed up. Are you sure that you are running in Release
mode and not in Debug? Do you evaluate complicated functions in the
assembly?
A couple changes that could help:
- don't use *fe.system_to_com
Hello All,
I'm trying to build deal.II 9.2.0 but it throwing an error like this
*/apps/libs/Trillions-13.2/lib/libkokkoscore.a(Kokkos_Profiling.cpp.o):
requires dynamic R_X86_64_32 reloc which may overflow at runtime; recompile
with -fPIC*
I' ve used make option like this
*cmake -DCMAKE_INSTALL
Dear all,
I am experiencing long times when computing the assembling and I would like
to ask if this is common or there is something wrong with my implementation.
My model is built in a similar way as step-29 and step-40 (using complex
values ad solving with a direct solver using distributed p
Dear all,
I am experiencing long time to computee the assembling and I would like to
ask if this is common or there is something wrong with my implementation.
My model is built in a similar way as step-29 and step-40 (using complex
values ad solving with a direct solver using distributed paral
