Could anyone help me with this one please? How could I copy the contents of
a serial matrix into a parallel matrix? Would having a dof_map help me in
this process? How could I build one?

Miguel


On Fri, Aug 29, 2014 at 9:32 AM, Miguel Angel Salazar de Troya <
[email protected]> wrote:

> I started parallelizing my code. I have part of the code that is serial
> because I need to have access to the whole mesh. In this part of the code,
> I build a PetscMatrix. Once I'm done building it (in serial), I would like
> to scatter it through the other processors.
>
> Now, given that I built the PetscMatrix in serial (the local dimensions
> are the same than the global dimensions) I assume I should build another
> matrix with local dimensions in parallel. I need to set this size equal to
> a solution vector in one of my systems (that's what I found here,
> http://www.mcs.anl.gov/petsc/petsc-current/docs/manualpages/Mat/MatSetSizes.html)
> If this system is called "densities", will I just set it equal
> to densities.solution->local_size()?
>
> Once the local dimensions are set, I need to copy the contents. Because
> the original matrix is run in serial in all the processors, I wouldn't need
> to make any communication, right? I would copy the matrix value by value,
> or there is a better way to do this?
>
> Thanks in advance
> Miguel
>
>
> On Thu, Aug 28, 2014 at 9:45 PM, Miguel Angel Salazar de Troya <
> [email protected]> wrote:
>
>> Yeah, it says 4. I think I will try to parallelize my code with MPI to
>> get better performance.
>>
>>
>> On Thu, Aug 28, 2014 at 9:10 PM, Roy Stogner <[email protected]>
>> wrote:
>>
>>>
>>>
>>> On Thu, 28 Aug 2014, Miguel Angel Salazar de Troya wrote:
>>>
>>>  How can I give one MPI rank per shared-memory system in my own
>>>> computer? I thought that running the program in serial with the
>>>> option "--n_threads=4" would work, but it doesn't seem so.
>>>>
>>>
>>> On a single computer, no clustering, that should have been sufficient.
>>>
>>> Do you have a mesh.print_info() in your app, and if so what does it
>>> say n_threads is?
>>>
>>> If it says n_threads is 1, is it possible that you configured without
>>> TBB installed?
>>>
>>>
>>>  It might be that the rest of my code that is not "threaded" is too
>>>> slow.
>>>>
>>>
>>> Yes, or it might be possible that the unthreaded parts of our code are
>>> too slow.  Getting the algebraic solver to run multithreaded is
>>> tricky, and in a lot of codes the solve is the expensive part.
>>> ---
>>> Roy
>>
>>
>>
>>
>> --
>> *Miguel Angel Salazar de Troya*
>>
>> Graduate Research Assistant
>> Department of Mechanical Science and Engineering
>> University of Illinois at Urbana-Champaign
>> (217) 550-2360
>> [email protected]
>>
>>
>
>
> --
> *Miguel Angel Salazar de Troya*
> Graduate Research Assistant
> Department of Mechanical Science and Engineering
> University of Illinois at Urbana-Champaign
> (217) 550-2360
> [email protected]
>
>


-- 
*Miguel Angel Salazar de Troya*
Graduate Research Assistant
Department of Mechanical Science and Engineering
University of Illinois at Urbana-Champaign
(217) 550-2360
[email protected]
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