[firedrake] operations on matrices
David Ham
David.Ham at imperial.ac.uk
Mon Jan 5 10:02:42 GMT 2015
On 5 January 2015 at 09:48, Cotter, Colin J <colin.cotter at imperial.ac.uk>
wrote:
> Does it help if the matrices are columnwise-blocks? I could assemble the
> entire matrix in a "column kernel" and then perform surgery on it?
>
>
The issue with doing things via a column kernel is that you would lose all
of the UFL infrastructure, so you would have to code your own assembly in C.
> --cjc
>
> On 05/01/15 09:39, David Ham wrote:
> >
> >
> > On 5 January 2015 at 09:37, Cotter, Colin J <colin.cotter at imperial.ac.uk
> > <mailto:colin.cotter at imperial.ac.uk>> wrote:
> >
> > Oh yes, good isolation of the problem.
> >
> > If alpha also depends on values of A, do we have a problem there too?
> >
> >
> > Yes. Same problem. There is no current way for a parallel loop to read
> > the entries of a matrix.
> >
> > -cjc
> >
> > On 05/01/15 09:33, David Ham wrote:
> > > Hi Colin,
> > >
> > > There is no way for a parallel loop to read from a matrix. However
> the
> > > operation you describe appears to be:
> > >
> > > assemble A
> > > assemble alpha
> > >
> > > scale entries of A by the corresponding entries of alpha.
> > >
> > > The last step is clearly the problem. I wonder if this could be
> achieved
> > > by some PETSc operation on the matrices.
> > >
> > > On 5 January 2015 at 09:02, Cotter, Colin J <
> colin.cotter at imperial.ac.uk <mailto:colin.cotter at imperial.ac.uk>
> > > <mailto:colin.cotter at imperial.ac.uk
> > <mailto:colin.cotter at imperial.ac.uk>>> wrote:
> > >
> > > Dear all,
> > > Happy New Year!
> > >
> > > Perhaps I made the mistake of making some complex explanation
> > before
> > > asking my question.
> > >
> > > What is the best way to make adjustments to matrix entries as
> > part of a
> > > loop over elements?
> > >
> > > cheers
> > > --cjc
> > >
> > > On 22/12/14 11:13, Cotter, Colin J wrote:
> > > > Dear Firedrakers,
> > > > I've been recently revisiting the "algebraic flux
> > correction"
> > > schemes
> > > > of Dmitri Kuzmin, with the aim of getting a
> > conservative+bounded
> > > > advection scheme for temperature in our NWP setup. These
> > schemes
> > > involve
> > > > the following steps:
> > > >
> > > > 1) Forming the consistent mass matrix (which is
> > column-diagonal)
> > > M_C for
> > > > the temperature space.
> > > > 2) Constructing the following matrix with the same
> > sparsity as M_C:
> > > >
> > > > A_{ij} = (M_C)_{ij}(T_i-T_j)
> > > >
> > > > where T_i is the value of temperature at node i.
> > > >
> > > > 3) "Limiting" the matrix by replacing
> > > >
> > > > A_{ij} -> A_{ij}\alpha_{ij}
> > > >
> > > > where \alpha_{ij} depends on various field values at nodes
> > i and
> > > j (only
> > > > needs to be evaluated when nodes i and j share an element).
> > > >
> > > > 4) Evaluating Ax where x is the vector containing 1s, and
> > adding x to
> > > > the RHS of mass-matrix projection equation before solving.
> > > >
> > > > My question is: how to implement this in an efficient and
> > > parallel-safe
> > > > way in the Firedrake/PyOP2 framework? In particular, step
> (3)
> > > involves
> > > > looping over elements, and correcting matrix entries.
> > Also, I'm
> > > not sure
> > > > of the best way to assemble A.
> > > >
> > > > all the best
> > > > --Colin
> > >
> > >
> > > _______________________________________________
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> > <mailto:firedrake at imperial.ac.uk <mailto:firedrake at imperial.ac.uk>>
> > > https://mailman.ic.ac.uk/mailman/listinfo/firedrake
> > >
> > >
> > >
> > >
> > > --
> > > Dr David Ham
> > > Departments of Mathematics and Computing
> > > Imperial College London
> > >
> > > http://www.imperial.ac.uk/people/david.ham
> > >
> > >
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> >
> >
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> >
> >
> >
> > --
> > Dr David Ham
> > Departments of Mathematics and Computing
> > Imperial College London
> >
> > http://www.imperial.ac.uk/people/david.ham
> >
> >
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>
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--
Dr David Ham
Departments of Mathematics and Computing
Imperial College London
http://www.imperial.ac.uk/people/david.ham
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