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<TITLE>MPI_Get_accumulate</TITLE>
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MPI_Get_accumulate
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Perform an atomic, one-sided read-and-accumulate operation.
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Synopsis
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int MPI_Get_accumulate(const void *origin_addr, int origin_count,
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MPI_Datatype origin_datatype, void *result_addr, int result_count,
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MPI_Datatype result_datatype, int target_rank, MPI_Aint target_disp,
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int target_count, MPI_Datatype target_datatype, MPI_Op op, MPI_Win win)
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Accumulate origin_count elements of type origin_datatype from the origin buffer
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(origin_addr) to the buffer at offset target_disp, in the target window
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specified by target_rank and win, using the operation op and return in the
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result buffer result_addr the content of the target buffer before the
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accumulation.
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Input Parameters
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origin_addr initial address of buffer (choice)
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origin_count number of entries in buffer (nonnegative integer)
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origin_datatype datatype of each buffer entry (handle)
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result_addr initial address of result buffer (choice)
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result_count number of entries in result buffer (non-negative integer)
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result_datatype datatype of each entry in result buffer (handle)
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target_rank rank of target (nonnegative integer)
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target_disp displacement from start of window to beginning of target
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buffer (nonnegative integer)
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target_count number of entries in target buffer (nonnegative integer)
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target_datatype datatype of each entry in target buffer (handle)
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op predefined reduce operation (handle)
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win window object (handle)
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Notes
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This operations is atomic with respect to other "accumulate" operations.
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The get and accumulate steps are executed atomically for each basic element in
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the datatype (see MPI 3.0 Section 11.7 for details). The predefined operation
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<tt>MPI_REPLACE</tt> provides fetch-and-set behavior.
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The origin and result buffers (origin_addr and result_addr) must be disjoint.
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Each datatype argument must be a predefined datatype or a derived datatype
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where all basic components are of the same predefined datatype. All datatype
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arguments must be constructed from the same predefined datatype. The
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operation op applies to elements of that predefined type. target_datatype must
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not specify overlapping entries, and the target buffer must fit in the target
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window or in attached memory in a dynamic window.
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Any of the predefined operations for <tt>MPI_Reduce</tt>, as well as <tt>MPI_NO_OP</tt> or
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<tt>MPI_REPLACE</tt> can be specified as op. User-defined functions cannot be used. A
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new predefined operation, <tt>MPI_NO_OP</tt>, is defined. It corresponds to the
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associative function f (a, b) = a; i.e., the current value in the target memory
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is returned in the result buffer at the origin and no operation is performed on
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the target buffer. <tt>MPI_NO_OP</tt> can be used only in <tt>MPI_Get_accumulate</tt>,
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<tt>MPI_Rget_accumulate</tt>, and <tt>MPI_Fetch_and_op</tt>. <tt>MPI_NO_OP</tt> cannot be used in
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<tt>MPI_Accumulate</tt>, <tt>MPI_Raccumulate</tt>, or collective reduction operations, such as
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<tt>MPI_Reduce</tt> and others.
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Notes for Fortran
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All MPI routines in Fortran (except for <tt>MPI_WTIME</tt> and <tt>MPI_WTICK</tt>) have
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an additional argument <tt>ierr</tt> at the end of the argument list. <tt>ierr
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</tt>is an integer and has the same meaning as the return value of the routine
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in C. In Fortran, MPI routines are subroutines, and are invoked with the
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<tt>call</tt> statement.
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All MPI objects (e.g., <tt>MPI_Datatype</tt>, <tt>MPI_Comm</tt>) are of type <tt>INTEGER
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</tt>in Fortran.
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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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MPI_ERR_ARG Invalid argument. Some argument is invalid and is not
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identified by a specific error class (e.g., <tt>MPI_ERR_RANK</tt>).
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MPI_ERR_COUNT Invalid count argument. Count arguments must be
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non-negative; a count of zero is often valid.
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MPI_ERR_RANK Invalid source or destination rank. Ranks must be between
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zero and the size of the communicator minus one; ranks in a receive
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(<tt>MPI_Recv</tt>, <tt>MPI_Irecv</tt>, <tt>MPI_Sendrecv</tt>, etc.) may also be <tt>MPI_ANY_SOURCE</tt>.
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MPI_ERR_TYPE Invalid datatype argument. Additionally, this error can
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occur if an uncommitted MPI_Datatype (see <tt>MPI_Type_commit</tt>) is used
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in a communication call.
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MPI_ERR_WIN Invalid MPI window object
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See Also
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MPI_Rget_accumulate MPI_Fetch_and_op
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