[petsc-users] Low floating precision numerical solver?

[Jed Brown]

You can use reduced-precision preconditioning if you're writing your
own, but there isn't out-of-the-box support.  Note that the benefit is
limited when working with sparse matrices because a lot of the cost
comes from memory access (including column indices) and vectorization
for some operations is difficult.

Manuel Valera via petsc-users <petsc-users at mcs.anl.gov> writes:

> Hello,
>
> I was wondering if PETSc had some form of a low precision linear solver
> algorithm like seen in:
>
> https://www.dropbox.com/s/rv5quc3k72qdpmp/iciam_lowprec19.pdf?dl=0
>
> I understand this treatment is coming from one of the NAG library
> developers,
>
> Thanks,