[petsc-dev] CUDA white paper of interest

[Karl Rupp]

Hi Jonathan,

thanks for your message and the pointer.

The incomplete factorizations have been around for a while, and with 
recent hardware they tend to be less competitive (note that they use a 
Tesla 2050 in their benchmarks, which is ~7 years old).

The fine-grained parallel version here:
  http://epubs.siam.org/doi/abs/10.1137/140968896
is an attractive alternative (and available in the master-branch of 
PETSc through ViennaCL), yet it also has drawbacks.

Best regards,
Karli


On 02/14/2018 12:02 AM, Jonathan Perry-Houts wrote:
> Hi all,
> 
> I'm not sure if this is the right place to post this, but I wanted to
> point out a new white paper I stumbled across about preconditioned
> iterative solvers on GPU's:
> http://docs.nvidia.com/cuda/incomplete-lu-cholesky/index.html
> The speed-ups are not huge, but they're not negligible either. I thought
> it might be of interest to some of you.
> 
> Cheers,
> Jonathan
>