hi
If I have a local vector and I want to update all its ghost values from
its non-ghost values, should I use DMLocalToLocalBegin()/End() ?
I have tried it and it gives me an error: "This DM does not support
local to local maps".
The DM is a DMPlex. Is the local-to-local operation not
On MS-Windows - you need the location of the DLLs in PATH
Or use --with-shared-libraries=0
Satish
On Thu, 29 Aug 2019, Sam Guo via petsc-users wrote:
> When I use intel mpi, configuration, compile and test all work fine but I
> cannot use dll in my application.
>
> On Thu, Aug 29, 2019 at
After I removed following lines inin config/BuildSystem/config/package.py,
configuration finished without error.
self.executeTest(self.checkDependencies)
self.executeTest(self.configureLibrary)
self.executeTest(self.checkSharedLibrary)
I then add my mpi wrapper to
On Thu, 29 Aug 2019, Sam Guo via petsc-users wrote:
> I can link when I add my wrapper to
> PCC_LINKER_FLAGS =-MD -wd4996 -Z7
> /home/xianzhongg/dev/star/lib/win64/intel18.3vc14/lib/StarMpiWrapper.lib
I don't understand what you mean here. Add PCC_LINKER_FLAGS to where? This is a
variable
> El 29 ago 2019, a las 22:20, Povolotskyi, Mykhailo
> escribió:
>
> Thank you for suggestion.
>
> Is it interfaced to SLEPC?
No, could be a future project...
>
>
> On 08/29/2019 04:14 PM, Jose E. Roman wrote:
>> I am not an expert in contour integral eigensolvers. I think difficulties
I can link when I add my wrapper to
PCC_LINKER_FLAGS =-MD -wd4996 -Z7
/home/xianzhongg/dev/star/lib/win64/intel18.3vc14/lib/StarMpiWrapper.lib
(I don't understand why configure does not include my wrapper)
On Thu, Aug 29, 2019 at 1:28 PM Matthew Knepley wrote:
> On Thu, Aug 29, 2019 at
It is not a symmetric matrix
On 08/29/2019 04:30 PM, Matthew Knepley wrote:
On Thu, Aug 29, 2019 at 4:29 PM Jed Brown via petsc-users
mailto:petsc-users@mcs.anl.gov>> wrote:
Elemental also has distributed-memory eigensolvers that should be at
least as good as ScaLAPACK's. There is support for
Elemental also has distributed-memory eigensolvers that should be at
least as good as ScaLAPACK's. There is support for Elemental in PETSc,
but not yet in SLEPc.
"Povolotskyi, Mykhailo via petsc-users" writes:
> Thank you for suggestion.
>
> Is it interfaced to SLEPC?
>
>
> On 08/29/2019 04:14
Thank you for suggestion.
Is it interfaced to SLEPC?
On 08/29/2019 04:14 PM, Jose E. Roman wrote:
> I am not an expert in contour integral eigensolvers. I think difficulties
> come with corners, so ellipses are the best choice. I don't think ring
> regions are relevant here.
>
> Have you
I am not an expert in contour integral eigensolvers. I think difficulties come
with corners, so ellipses are the best choice. I don't think ring regions are
relevant here.
Have you considered using ScaLAPACK. Some time ago we were able to address
problems of size up to 400k
Thanks for the quick response. Attached please find the configure.log
containing the configure error.
Regarding our dup, our wrapper does support it. In fact, everything works
fine on Linux. I suspect on windows, PETSc picks the system mpi.h somehow.
I am investigating it.
Thanks,
Sam
On Thu,
Thank you, Jose,
what about rings? Are they better than rectangles?
Michael.
On 08/29/2019 03:44 PM, Jose E. Roman wrote:
> The CISS solver is supposed to estimate the number of eigenvalues contained
> in the contour. My impression is that the estimation is less accurate in case
> of
The CISS solver is supposed to estimate the number of eigenvalues contained in
the contour. My impression is that the estimation is less accurate in case of
rectangular contours, compared to elliptic ones. But of course, with ellipses
it is not possible to fully cover the complex plane unless
Dear PETSc dev team,
I am looking some tips porting petsc to windows. We have our mpi wrapper
(so we can switch different mpi). I configure petsc using --with-mpi-lib
and --with-mpi-include
./configure --with-cc="win32fe cl" --with-fc=0 --download-f2cblaslapack
Hello everyone,
this is a question about SLEPc.
The problem that I need to solve is as follows.
I have a matrix and I need a full spectrum of it (both eigenvalues and
eigenvectors).
The regular way is to use Lapack, but it is slow. I decided to try the
following:
a) compute the bounds of
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