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MPI_File_iread_shared(3) man page (version 1.2.9)

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NAME

       MPI_File_iread_shared  -  Reads  a  file  using the shared file pointer
       (nonblocking, noncollective).

SYNTAX

       C Syntax
           #include <mpi.h>
           int MPI_File_iread_shared(MPI_File fh, void *buf, int count,
                  MPI_Datatype datatype, MPI_Request *request)

       Fortran Syntax
           INCLUDE 'mpif.h'
           MPI_FILE_IREAD_SHARED(FH, BUF, COUNT, DATATYPE, REQUEST, IERROR)
                 <type>         BUF(*)
                 INTEGER        FH, COUNT, DATATYPE, REQUEST, IERROR

C++ Syntax

       #include <mpi.h>
       MPI::Request MPI::File::Iread_shared(void* buf, int count,
            const MPI::Datatype& datatype)

INPUT/OUTPUT PARAMETER

       fh        File handle (handle).

INPUT PARAMETERS

       count     Number of elements in buffer (integer).

       datatype  Data type of each buffer element (handle).

OUTPUT PARAMETERS

       buf       Initial address of buffer (choice).

       request   Request object (handle).

       IERROR    Fortran only: Error status (integer).

DESCRIPTION

       MPI_File_iread_shared    is    a    nonblocking    version    of    the
       MPI_File_read_shared interface. It uses the shared file pointer to read
       files. The order of serialization among the processors is not determin-
       istic  for this noncollective routine, so you need to use other methods
       of synchronization to impose a particular order among processors.

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++ func-
       tions 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

Open MPI 1.2                    September 2006 MPI_File_iread_shared(3OpenMPI)

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