[Trilinos-Users] trilinos and CUDA

[Chris Baker]

Gianluca,

The Tpetra library of distributed linear algebra objects is currently being
refactored to supported multi-core/many-core shared memory nodes. The plan
is to support CUDA for Tpetra objects as well (rudimentary support is
already in place). By combining Tpetra with Trilinos's Belos linear solver
or Anasazi eigenvalue solver, this would provide the ability to run these
solvers mostly on the GPU (where "mostly" refers to the large
vector/multivector and matrix operations).

This capability may release with the next version of Trilinos in September.
I say may because our priority is multi-core CPUs before GPGPU. However,
most of our GPU implementations have been tested outside of Trilinos and are
waiting to be moved in.

Chris


On Tue, Jul 28, 2009 at 06:37, Gianluca Moro <giangiammy at gmail.com> wrote:

> Hi all,
>
> I'm working on GPGPU, in particular using CUDA, in
> a numerical linear algebra application.
>
> As part of the work there will be the necessity of a
> Linear Solver Package, something like the AztecOO
> Trilinos package.
>
> Do you know of a similar package?
> If not, does anyone tried to implement it?
> (with or without success?)
>
> If I do not find anything, and I implement it by myself,
> is there interest on such a package?
>
> Thanks
> Gianluca Moro
>
> --
> Gianluca Moro                  http://www.giammy.com
> Ph.D. Student                   http://www.math.unipd.it/~giammy/<http://www.math.unipd.it/%7Egiammy/>
> Department of Pure and Applied Mathematics - University of Padova
>
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