Re: [petsc-dev] Questions around benchmarking and data loading with PETSc
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 <[email protected]> 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)
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Rohan Yadav