[petsc-users] petsc4py: parallel matrix-vector multiplication
Jed Brown
jed at jedbrown.org
Sun May 6 11:18:38 CDT 2018
See formJacobian() in bratu3d.py for matrix assembly using DMDA.
Robert Speck <r.speck at fz-juelich.de> writes:
> OK, thanks, I see. This is basically what happens in the poisson2d.py
> example, too, right?
>
> I tried it with the shell matrix (?) used in the poisson2d example and
> it works right away, but then I fail to see how to make use of the
> preconditioners for KSP (see my original message)..
>
> Thanks again!
> -Robert-
>
>
> On 06.05.18 16:52, Jed Brown wrote:
>> Robert Speck <r.speck at fz-juelich.de> writes:
>>
>>> Thanks for your reply and help. Yes, this is going to be a PDE solver
>>> for structured grids. The first goal would be IDC (or Crank-Nicholson)
>>> for the heat equation, which would require both solving a linear system
>>> and application of the matrix.
>>>
>>> The code I wrote for testing parallel matrix-vector multiplication can
>>> be found here:
>>> https://github.com/Parallel-in-Time/pySDC/blob/petsc/pySDC/playgrounds/PETSc/playground_matmult.py
>>>
>>> Both vectors and matrix come from the DMDA, but I guess filling them is
>>> done in a wrong way? Or do I need to convert global/natural vectors to
>>> local ones somewhere?
>>
>> Global and Natural are not the same (see user's manual for details).
>> The matrix acts on a Global vector. See
>> petsc4py/demo/bratu3d/bratu3d.py for examples of efficiently setting
>> values (and computing residuals) using Global vectors. It should be
>> simpler/cleaner code than you currently have.
>>
>>>
>>> Best
>>> -Robert-
>>>
>>>
>>>
>>> On 06.05.18 14:44, Dave May wrote:
>>>> On Sun, 6 May 2018 at 10:40, Robert Speck <r.speck at fz-juelich.de
>>>> <mailto:r.speck at fz-juelich.de>> wrote:
>>>>
>>>> Hi!
>>>>
>>>> I would like to do a matrix-vector multiplication (besides using linear
>>>> solvers and so on) with petsc4py. I took the matrix from this example
>>>>
>>>> (https://bitbucket.org/petsc/petsc4py/src/master/demo/kspsolve/petsc-mat.py)
>>>>
>>>>
>>>> This example only produces a matrix. And from the code the matrix
>>>> produced is identical in serial or parallel.
>>>>
>>>>
>>>>
>>>> and applied it to a PETSc Vector. All works well in serial, but in
>>>> parallel (in particular if ordering becomes relevant) the resulting
>>>> vector looks very different.
>>>>
>>>>
>>>> Given this, the way you defined the x vector in y = A x must be
>>>> different when run on 1 versus N mpi ranks.
>>>>
>>>>
>>>> Using the shell matrix of this example
>>>> (https://bitbucket.org/petsc/petsc4py/src/master/demo/poisson2d/poisson2d.py)
>>>> helps, but then I cannot use matrix-based preconditioners for KSP
>>>> directly (right?). I also tried using DMDA for creating vectors and
>>>> matrix and for taking care of their ordering (which seems to be my
>>>> problem here), but that did not help either.
>>>>
>>>> So, my question is this: How do I do easy parallel matrix-vector
>>>> multiplication with petsc4py in a way that allows me to use parallel
>>>> linear solvers etc. later on? I want to deal with spatial decomposition
>>>> as little as possible.
>>>>
>>>>
>>>> What's the context - are you solving a PDE?
>>>>
>>>> Assuming you are using your own grid object (e.g. as you might have if
>>>> solving a PDE), and assuming you are not solving a 1D problem, you
>>>> actually have to "deal" with the spatial decomposition otherwise
>>>> performance could be quite terrible - even for something simple like a 5
>>>> point Laplacian on a structured grid in 2D
>>>>
>>>> What data structures should I use? DMDA or
>>>> PETSc.Vec() and PETSc.Mat() or something else?
>>>>
>>>>
>>>> The mat vec product is not causing you a problem. Your issue appears to
>>>> be that you do not have a way to label entries in a vector in a
>>>> consistent manner.
>>>>
>>>> What's the objective? Are you solving a PDE? If yes, structured grid? If
>>>> yes again, use the DMDA. It takes care of all the local-to-global and
>>>> global-to-local mapping you need.
>>>>
>>>> Thanks,
>>>> Dave
>>>>
>>>>
>>>>
>>>> Thanks!
>>>> -Robert-
>>>>
>>>> --
>>>> Dr. Robert Speck
>>>> Juelich Supercomputing Centre
>>>> Institute for Advanced Simulation
>>>> Forschungszentrum Juelich GmbH
>>>> 52425 Juelich, Germany
>>>>
>>>> Tel: +49 2461 61 1644
>>>> Fax: +49 2461 61 6656
>>>>
>>>> Email: r.speck at fz-juelich.de <mailto:r.speck at fz-juelich.de>
>>>> Website: http://www.fz-juelich.de/ias/jsc/speck_r
>>>> PinT: http://www.fz-juelich.de/ias/jsc/pint
>>>>
>>>>
>>>>
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>>>>
>>>
>>> --
>>> Dr. Robert Speck
>>> Juelich Supercomputing Centre
>>> Institute for Advanced Simulation
>>> Forschungszentrum Juelich GmbH
>>> 52425 Juelich, Germany
>>>
>>> Tel: +49 2461 61 1644
>>> Fax: +49 2461 61 6656
>>>
>>> Email: r.speck at fz-juelich.de
>>> Website: http://www.fz-juelich.de/ias/jsc/speck_r
>>> PinT: http://www.fz-juelich.de/ias/jsc/pint
>
> --
> Dr. Robert Speck
> Juelich Supercomputing Centre
> Institute for Advanced Simulation
> Forschungszentrum Juelich GmbH
> 52425 Juelich, Germany
>
> Tel: +49 2461 61 1644
> Fax: +49 2461 61 6656
>
> Email: r.speck at fz-juelich.de
> Website: http://www.fz-juelich.de/ias/jsc/speck_r
> PinT: http://www.fz-juelich.de/ias/jsc/pint
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