int MPI_Op_create(MPI_User_function *user_fn, int commute, MPI_Op *op)
int MPI_Op_create_c(MPI_User_function_c *user_fn, int commute, MPI_Op *op)
typedef void (MPI_User_function) (void * a,
void * b, int * len, MPI_Datatype *);
where the operation is b[i] = a[i] op b[i], for i=0,...,len-1. A pointer
to the datatype given to the MPI collective computation routine (i.e.,
MPI_Reduce, MPI_Allreduce, MPI_Scan, or MPI_Reduce_scatter) is also
passed to the user-specified routine.
The reduction functions (MPI_Op) do not return an error value. As a result, if the functions detect an error, all they can do is either call MPI_Abort or silently skip the problem. Thus, if you change the error handler from MPI_ERRORS_ARE_FATAL to something else, for example, MPI_ERRORS_RETURN, then no error may be indicated.
The reason for this is the performance problems in ensuring that all collective routines return the same error value.
This routine is thread-safe. This means that this routine may be safely used by multiple threads without the need for any user-provided thread locks. However, the routine is not interrupt safe. Typically, this is due to the use of memory allocation routines such as malloc or other non-MPICH runtime routines that are themselves not interrupt-safe.
All MPI objects (e.g., MPI_Datatype, MPI_Comm) are of type INTEGER in Fortran.
All MPI routines (except MPI_Wtime and MPI_Wtick) return an error value; C routines as the value of the function and Fortran routines in the last argument. Before the value is returned, the current MPI error handler is called. By default, this error handler aborts the MPI job. The error handler may be changed with MPI_Comm_set_errhandler (for communicators), MPI_File_set_errhandler (for files), and MPI_Win_set_errhandler (for RMA windows). The MPI-1 routine MPI_Errhandler_set may be used but its use is deprecated. The predefined error handler MPI_ERRORS_RETURN may be used to cause error values to be returned. Note that MPI does not guarantee that an MPI program can continue past an error; however, MPI implementations will attempt to continue whenever possible.