On Sun, Oct 26, 2014 at 7:20 PM, Ashwin Srinath <ashwinsrnth@gmail.com> wrote:

Hi,

I re-wrote the code to include the code from this branch - it's made everything a lot simpler:
https://github.com/ashwinsrnth/petsc-pycuda/blob/master/GPUArray.pyx

Some notes:

  1) You can check the return type of the PETSc calls for errors

  2) Lisandro, do you have an automatic converter from PetscScalar to a numpy dtype? Using np.dtype.float64 is dicey.

  Thanks,

    Matt

 

If I can help with adding the functionality to `petsc4py`, I'd be glad to :)

Thanks,

Ashwin

On Fri, Oct 24, 2014 at 2:43 PM, Lisandro Dalcin <dalcinl@gmail.com> wrote:

On 24 October 2014 03:56, Karl Rupp <rupp@iue.tuwien.ac.at> wrote:
>
> Both 1) and 2) are now pushed to the feature branch. Any feedback
> appreciated :-)
>

Thanks! Looks good. Ashwin, could you please re-write your code to
test this branch? Once you confirm everything's working, we can follow
discussing how to better support this in petsc4py.

--
Lisandro Dalcin
============
Research Scientist
Computer, Electrical and Mathematical Sciences & Engineering (CEMSE)
Numerical Porous Media Center (NumPor)
King Abdullah University of Science and Technology (KAUST)
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