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Message #20950
Re: [Bug 706909] [NEW] [python] matrix multiplication fails in parallel
On Monday January 24 2011 09:54:15 Garth N. Wells wrote:
> On 24/01/11 17:45, Johan Hake wrote:
> > On Monday January 24 2011 09:43:45 Johan Hake wrote:
> >> On Monday January 24 2011 09:33:12 Garth N. Wells wrote:
> >>> On 24/01/11 17:17, Johan Hake wrote:
> >>>> Isn't there a way to initialize a paralell vector with arbitrary
> >>>> distribution pattern?
> >>>>
> >>>> There is a way to general a local range from a given entity size using
> >>>> MPI.local_range. One should be able to generate a distributed Vector
> >>>> with this information.
> >>>
> >>> This isn't guaranteed to work since using MPI.local_range may produce a
> >>> vector with a layout that is inconsistent with the matrix layout.
> >>
> >> Ok.
> >>
> >>> A Vector could be created using the local range data from the Matrix.
> >>
> >> Is this possible to do using the GenericMatrix inteface?
> >
> > GenericVector that should be.
>
> Yes, via
>
> GenericVector::resize(std::pair<uint, uint> range)
Simple enough ;) I just looked at the top of GenericVector...
I think we need a typemap for stad::pair<uin, uint>. Will look into it.
Johan
> Garth
>
> > Johan
> >
> >> Johan
> >>
> >>> Garth
> >>>
> >>>> Johan
> >>>>
> >>>> On Monday January 24 2011 05:17:21 Joachim Haga wrote:
> >>>>> Public bug reported:
> >>>>>
> >>>>> The python code for __mul__() assumes an empty vector suitable for
> >>>>>
> >>>>> mult() can be created from just the dimensions of the matrix:
> >>>>> if type(other) == Vector:
> >>>>> ret = Vector(self.size(0))
> >>>>>
> >>>>> This is not true in parallel. And it won't help to copy the input
> >>>>> vector, as that only works for square matrices.
> >>>>>
> >>>>> How to create a vector which is compatible with a given matrix at
> >>>>> this point (only the matrix available, not the sparsity pattern)?
> >>>>> Would it perhaps be acceptable to add methods create_rhs_vector(),
> >>>>> create_lhs_vector() to GenericMatrix?
> >>>>>
> >>>>> ** Affects: dolfin
> >>>>>
> >>>>> Importance: Undecided
> >>>>>
> >>>>> Status: New
> >>>>
> >>>> _______________________________________________
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> >>>
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