[petsc-dev] Questions around benchmarking and data loading with PETSc

[Rohan Yadav]

FWIW, the real benefits of TACO come from generating code that contracts
higher order sparse tensors, which are difficult to code by hand and
unlikely to be a kernel in a hand-tuned library. The "novel compiler
techniques" mentioned on the website enable the compiler to reason about
co-iteration through multiple sparse tensors at a time.

Rohan

On Sun, Dec 12, 2021 at 9:50 AM Mark Adams <mfadams at lbl.gov> wrote:

>
>>    It may be different with the optimization turned on. I am surprised
>> that it is 40 usually it is lower.
>>
>>
> Sure, he was underperforming by 4x so he was using ~10 cores of a P9. Way
> below saturation (20-30).
> (but he only got 20x speedup, not sure about that, load balance?, the
> matrix looks huge so probably not communication, but maybe)
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.mcs.anl.gov/pipermail/petsc-dev/attachments/20211212/d9bd2814/attachment.html>