Lightweight Parallelism library based on Ada 2022 features (update)

A full implementation of the parallel features of Ada 2022 is yet to be released. In the meantime, here is a light-weight-threading library that provides essentially all of the parallel features of Ada 2022, using various generics, etc. Scheduling is provided using a plug-in architecture. If no scheduler is plugged in, the light-weight threads are simply executed sequentially. If a light-weight-thread scheduler is plugged in, then the light-weight threads spawned by instances of the various generic packages are managed by that scheduler.

The light-weight threading library is available at:
https://github.com/parasail-lang/parasail/tree/main/lwt

Details:

The only work that AdaCore has done is with CUDA, which includes new aspects “with CUDA_Global” and “with Designated_Storage_Model => …” and a new “pragma CUDA_Execute(…)”.

AdaCore is yet to support the Ada 2022 parallel syntax.
As far as pragma OMP, that might have been implemented by Sara Royuela et al, but it is not directly supported by the GNAT distributed by AdaCore.

Using the OpenMP API rather than OpenMP pragmas works pretty well, but it doesn’t support offloading to accelerators.
You might be able to figure out a way to combine GNAT’s CUDA-oriented pragmas and aspects with uses of the OpenMP API and/or the lightweight parallelism library that I (Tucker) described, but I have not personally tried that.

Read more on https://forum.ada-lang.io/t/lightweight-parallelism-library-based-on-ada-2022-features/516