NAME

       MPI_Abort - Terminates MPI execution environment.

SYNTAX

C Syntax

       #include <mpi.h>
       int MPI_Abort(MPI_Comm comm, int errorcode)

Fortran Syntax

       INCLUDE 'mpif.h'
       MPI_ABORT(COMM, ERRORCODE, IERROR)
            INTEGER        COMM, ERRORCODE, IERROR

C++ Syntax

       #include <mpi.h>
       void Comm::Abort(int errorcode)

INPUT PARAMETERS

       comm      Communicator of tasks to abort.

       errorcode Error code to return to invoking environment.

OUTPUT PARAMETER

       IERROR    Fortran only: Error status (integer).

DESCRIPTION

       This routine makes a "best attempt" to abort all tasks in the group of comm. This function
       does not require that the invoking environment  take  any  action  with  the  error  code.
       However,  a  UNIX  or  POSIX environment should handle this as a return errorcode from the
       main program or an abort (errorcode).

       The long-term goal of the Open MPI implementation is to terminate  all  processes  in  all
       tasks  that  contain a process in comm, and the error code is not returned to the invoking
       environment. At the moment, this isn't fully implemented and MPI_Abort will terminate  the
       entire job.

       Note: All associated processes are sent a SIGTERM.

ERRORS

       Almost all MPI routines return an error value; C routines as the value of the function and
       Fortran routines in the last argument. C++ functions do not return errors. If the  default
       error  handler  is  set  to  MPI::ERRORS_THROW_EXCEPTIONS, then on error the C++ exception
       mechanism will be used to throw an MPI::Exception object.

       Before the error value is returned, the current MPI error handler is called.  By  default,
       this  error  handler aborts the MPI job, except for I/O function errors. The error handler
       may   be   changed   with   MPI_Comm_set_errhandler;   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.