[flang-commits] [flang] [FLANG] [DOCS] Update current status details of DO CONCURRENT support (PR #194582)

[Tarun Prabhu via flang-commits]

================
@@ -47,11 +47,17 @@ See `-fopenmp-targets` and `--offload-arch` for more info.
 
 ## Current status
 
-Under the hood, `do concurrent` mapping is implemented in the
-`DoConcurrentConversionPass`. This is still an experimental pass which means
-that:
-* It has been tested in a very limited way so far.
-* It has been tested mostly on simple synthetic inputs.
+As of LLVM 22, flang adds more extensive support for parallelizing do concurrent loops
+on the CPU and the GPU. In particular, the local specifier, partial support for reduce,
+and automatic mapping of user-defined types are now supported.
+On the CPU, we validated the feature using FIATS' inference and training codes where
+`do concurrent` and OpenMP had very similar acceleration results (for more info see: [1]).
+On the GPU, we have basic support that is still in progress; we have offload tests for 
+1D and 2D saxpy. We also validated using codes that do not use extensive user-defined
+types and/or allocatables.
+
+[1] Automatically Parallelizing Batch Inference on Deep Neural Networks Using Fiats
+and Fortran 2023 “Do Concurrent”(https://link.springer.com/chapter/10.1007/978-3-032-07612-0_11)
----------------
tarunprabhu wrote:

```suggestion
and Fortran 2023 “Do Concurrent” (https://link.springer.com/chapter/10.1007/978-3-032-07612-0_11)
```

https://github.com/llvm/llvm-project/pull/194582