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<TITLE>MPI_T_init_thread</TITLE>
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MPI_T_init_thread
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Initialize the MPI_T execution environment
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Synopsis
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int MPI_T_init_thread(int required, int *provided)
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Input Parameters
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required desired level of thread support (integer)
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Output Parameters
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provided provided level of thread support (integer)
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Notes
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The valid values for the level of thread support are
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MPI_THREAD_SINGLE Only one thread will execute.
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MPI_THREAD_FUNNELED The process may be multi-threaded, but only the main
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thread will make MPI_T calls (all MPI_T calls are funneled to the
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main thread).
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MPI_THREAD_SERIALIZED The process may be multi-threaded, and multiple
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threads may make MPI_T calls, but only one at a time: MPI_T calls are not
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made concurrently from two distinct threads (all MPI_T calls are serialized).
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MPI_THREAD_MULTIPLE Multiple threads may call MPI_T, with no restrictions.
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Thread and Interrupt Safety
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This routine is thread-safe. This means that this routine may be
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safely used by multiple threads without the need for any user-provided
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thread locks. However, the routine is not interrupt safe. Typically,
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this is due to the use of memory allocation routines such as <tt>malloc
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</tt>or other non-MPICH runtime routines that are themselves not interrupt-safe.
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Errors
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All MPI routines (except <tt>MPI_Wtime</tt> and <tt>MPI_Wtick</tt>) return an error value;
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C routines as the value of the function and Fortran routines in the last
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argument. Before the value is returned, the current MPI error handler is
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called. By default, this error handler aborts the MPI job. The error handler
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may be changed with <tt>MPI_Comm_set_errhandler</tt> (for communicators),
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<tt>MPI_File_set_errhandler</tt> (for files), and <tt>MPI_Win_set_errhandler</tt> (for
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RMA windows). The MPI-1 routine <tt>MPI_Errhandler_set</tt> may be used but
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its use is deprecated. The predefined error handler
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<tt>MPI_ERRORS_RETURN</tt> may be used to cause error values to be returned.
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Note that MPI does not guarentee that an MPI program can continue past
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an error; however, MPI implementations will attempt to continue whenever
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possible.
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MPI_SUCCESS No error; MPI routine completed successfully.
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See Also
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MPI_T_finalize
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