|Initial address of buffer (choice).|
|Number of entries in buffer (nonnegative integer).|
|Data type of each buffer entry (handle).|
|Rank of target (nonnegative integer).|
|Displacement from start of window to beginning of target buffer (nonnegative integer).|
|Number of entries in target buffer (nonnegative integer).|
|Data type of each entry in target buffer (handle).|
|op||Reduce operation (handle).|
Window object (handle).
MPI_Raccumulate: RMA request
Fortran only: Error status (integer).
MPI_Accumulate is a function used for one-sided MPI communication that adds the contents of the origin buffer (as defined by origin_addr, origin_count, and origin_datatype) to the buffer specified by the arguments target_count and target_datatype, at offset target_disp, in the target window specified by target_rank and win, using the operation op. The target window can only be accessed by processes within the same node. This is similar to MPI_Put, except that data is combined into the target area instead of overwriting it.
Any of the predefined operations for MPI_Reduce can be used. User-defined functions cannot be used. For example, if op is MPI_SUM, each element of the origin buffer is added to the corresponding element in the target, replacing the former value in the target.
Each datatype argument must be a predefined data type or a derived data type, where all basic components are of the same predefined data type. Both datatype arguments must be constructed from the same predefined data type. The operation op applies to elements of that predefined type. The target_datatype argument must not specify overlapping entries, and the target buffer must fit in the target window.
A new predefined operation, MPI_REPLACE, is defined. It corresponds to the associative function f(a, b) =b; that is, the current value in the target memory is replaced by the value supplied by the origin.
MPI_Raccumulate is similar to MPI_Accumulate, except that it allocates a communication request object and associates it with the request handle (the argument request) that can be used to wait or test for completion. The completion of an MPI_Raccumulate operation indicates that the origin_addr buffer is free to be updated. It does not indicate that the operation has completed at the target window.
The MPI standard prescribes portable Fortran syntax for the TARGET_DISP argument only for Fortran 90. FORTRAN 77 users may use the non-portable syntax
where MPI_ADDRESS_KIND is a constant defined in mpif.h and gives the length of the declared integer in bytes.
MPI_Put is a special case of MPI_Accumulate, with the operation MPI_REPLACE. Note, however, that MPI_Put and MPI_Accumulate have different constraints on concurrent updates.
It is the users responsibility to guarantee that, when using the accumulate functions, the target displacement argument is such that accesses to the window are properly aligned according to the data type arguments in the call to the MPI_Accumulate function.
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.
MPI_Put MPI_Get_accumulate MPI_Reduce
|1.10.2||MPI_ACCUMULATE (3)||Jan 21, 2016|