[llvm-bugs] [Bug 41767] OpenMP default(none) + schedule(dynamic, variable) - difference with gcc

via llvm-bugs llvm-bugs at lists.llvm.org
Thu May 9 03:47:55 PDT 2019


https://bugs.llvm.org/show_bug.cgi?id=41767

Roman Lebedev <lebedev.ri at gmail.com> changed:

           What    |Removed                     |Added
----------------------------------------------------------------------------
                 CC|                            |jdoerfert at anl.gov
             Status|RESOLVED                    |REOPENED
           See Also|                            |https://gcc.gnu.org/bugzill
                   |                            |a/show_bug.cgi?id=90406
         Resolution|FIXED                       |---

--- Comment #3 from Roman Lebedev <lebedev.ri at gmail.com> ---
... and i had to revert this & the other commit. Sorry :(
This implementation isn't sound as per the standard.
It erroneously diagnoses e.g. the following case:
```
$ cat test.cpp
void f(int n) {
 #pragma omp parallel default(none) if(n)
    ;
}
```
```
$ ./bin/clang -fopenmp test.cpp
test.cpp:2:40: error: variable 'n' must have explicitly specified data sharing
attributes
 #pragma omp parallel default(none) if(n)
                                       ^
test.cpp:2:31: note: explicit data sharing attribute requested here
 #pragma omp parallel default(none) if(n)
                              ^
1 error generated.
```

As per OpenMP Application Programming Interface Version 5.0 November 2018:
* 2.19.4.1default Clause
  The default clause explicitly determines the data-sharing attributes of
  variables that are referenced *in a parallel, teams, or task generating
  construct and would otherwise be implicitly determined
  (see Section 2.19.1.1 on page 270).
* 2.6.1 Determining the Number of Threads for a parallel Region
  Using a variable in an if or num_threads clause expression of a parallel
  construct causes an implicit reference to the variable in all enclosing
  constructs. The if clause expression and the num_threads clause expression
  are evaluated in the context outside of the parallel construct,

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