Jerry, See https://github.com/BerkeleyLab/fiats/blob/c256784fbd3eb28053daad657fc01c3caaf562d4/src/fiats/neural_network_s.F90#L871. The F2023_LOCALITY macro switches on the use of reduce locality. The F2018_LOCALITY macro uses only locality specifiers that were in Fortran 2018. The F2008_LOCALITY macro switches to default locality. In this code, the biggest savings comes from reduce locality.
Damian On Mon, Mar 10, 2025 at 10:20 Jerry D <jvdelis...@gmail.com> wrote: > On 3/10/25 4:29 AM, Damian Rouson wrote: > > If this moves forward, I’d like to offer example code to target in Fiats > > (https://go.lbl.gov/fiats <https://go.lbl.gov/fiats>). I presented > > automatic parallelization results produced by compiling with LLVM flang- > > new for inference at the PAW-ATM workshop at SC24 (see https:// > > go.lbl.gov/just-write-fortran <https://go.lbl.gov/just-write-fortran>). > > It would be great to have a similar capability with gfortran. And I > > would be especially excited if Fortran 2023 reduce locality is > > supported. In our training algorithm, the use of reduce locality reduces > > one block of code from around 10 statements to one statement. > > > > Damian > > > Damian, > > Can you send an example of that one block of code as an example. You may > have already done so, I have lost track in between some other burning > issues. > > Regards, > > Jerry >
