On Mon, Dec 6, 2021 at 7:02 PM Fande Kong <[email protected]> wrote:
> Thanks, Matt > > On Mon, Dec 6, 2021 at 4:47 PM Matthew Knepley <[email protected]> wrote: > >> On Mon, Dec 6, 2021 at 6:40 PM Fande Kong <[email protected]> wrote: >> >>> Dear PETSc team, >>> >>> I am interested in a careful evaluation of PETSc GPU performance in our >>> INL cluster. >>> >>> Any example in PETSc that can show GPU speedup with solving a nonlinear >>> equation? >>> >>> I talked to Junchao; he suggested that I try SNES/tutorial/ex56. I tried >>> that, but I could not find any speedup using the GPU. I could attach some >>> results of "log_view" later if we would like to see that. >>> >> >> We should note that you will only see speedup in the solver, so that >> problem has to be pretty large. I believe Mark has good results with it. >> The assembly is still all on the CPU. I am working on this over break, >> and hope to have a CEED version of it by the new year. >> > > Are both function and matrix assmelies on CPU? Or just the matrix assembly? > There is no GPU assembly right now. Matt > OK, I will try to check the solver part > > Thanks, again > > Fande > > > >> >> Thanks, >> >> Matt >> >> >>> Appreciate any instructions/comments about running a simple PETSc GPU >>> example to get a speedup. >>> >>> Thanks, >>> >>> Fande >>> >> >> >> -- >> What most experimenters take for granted before they begin their >> experiments is infinitely more interesting than any results to which their >> experiments lead. >> -- Norbert Wiener >> >> https://www.cse.buffalo.edu/~knepley/ >> <http://www.cse.buffalo.edu/~knepley/> >> > -- What most experimenters take for granted before they begin their experiments is infinitely more interesting than any results to which their experiments lead. -- Norbert Wiener https://www.cse.buffalo.edu/~knepley/ <http://www.cse.buffalo.edu/~knepley/>
