There are a few papers that discuss this modified/augmented Taylor-Hood
elements for Stokes equations in detail (e.g.,
http://link.springer.com/article/10.1007%2Fs10915-011-9549-4). From what I
have seem, it seems people primarily use this to ensure local mass
conservation while attaining the desir
Justin Chang writes:
> I am referring to P2 / (P1 + P0) elements, I think this is the correct way
> of expressing it. Some call it modified Taylor Hood, others call it
> something else, but it's not Crouzeix-Raviart elements.
Okay, thanks. This pressure space is not a disjoint union (the consta
> On May 30, 2015, at 10:14 PM, Harshad Sahasrabudhe
> wrote:
>
> Is your intent to solve a problem that matters in a way that makes sense for
> a scientist or engineer
>
> I want to see if we can speed up the time stepper for a large system using
> GPUs. For large systems with sparse matrix
venkatesh,
As we discussed previously, even on smaller problems,
both mumps and superlu_dist failed, although Mumps gave "OOM" error in
numerical factorization.
You acknowledged that B is singular, which may need additional
reformulation for your eigenvalue problems. The option '-st_type sinvert'
Hi Barry,
Thanks for your reply.
I have no idea how to pass a vector into the FormFunctionLocal() right
now. I will try to read the NASM source code and hope can find a way to
do it.
Best regards,
Rongliang
On 05/31/2015 10:41 AM, Barry Smith wrote:
Rongliang,
It appears the NASM
It failed due to a lack of memory. "OOM" stands for "out of memory". OOM
killer terminated your job means you ran out of memory.
On Sunday, 31 May 2015, venkatesh g > wrote:
> Hi all,
>
> I tried to run my Generalized Eigenproblem in 120 x 24 = 2880 cores.
> The matrix size of A = 20GB and B =
Sorry the command was:
aprun -n 2880 -N 24 ./ex7 -f1 a110t -f2 b110t -st_type sinvert -eps_nev 1
-st_ksp_type preonly -st_pc_type lu -st_pc_factor_mat_solver_package mumps
-mat_mumps_cntl_1 1e-6 -mat_mumps_icntl_4 2
cheers,
Venkatesh
On Sun, May 31, 2015 at 6:07 PM, venkatesh g
wrote:
> Hi all,
Hi all,
I tried to run my Generalized Eigenproblem in 120 x 24 = 2880 cores.
The matrix size of A = 20GB and B = 5GB.
It got killed after 7 Hrs of run time. Please see the mumps error log. Why
must it fail ?
I gave the command:
aprun -n 240 -N 24 ./ex7 -f1 a110t -f2 b110t -st_type sinvert -eps_n
