On Sun, Oct 26, 2014 at 7:20 PM, Ashwin Srinath <[email protected]> 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 <[email protected]> wrote:

...

On 24 October 2014 03:56, Karl Rupp <[email protected]> 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) http://numpor.kaust.edu.sa/

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