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MPI_Scatter - Sends data from one task to all tasks in a group.
int MPI_Scatter(void *sendbuf, int sendcount, MPI_Datatype sendtype,
void *recvbuf, int recvcount, MPI_Datatype recvtype, int root,
MPI_SCATTER(SENDBUF, SENDCOUNT, SENDTYPE, RECVBUF, RECVCOUNT,
RECVTYPE, ROOT, COMM, IERROR)
<type> SENDBUF(*), RECVBUF(*)
INTEGER SENDCOUNT, SENDTYPE, RECVCOUNT, RECVTYPE, ROOT
INTEGER COMM, IERROR
void MPI::Comm::Scatter(const void* sendbuf, int sendcount,
const MPI::Datatype& sendtype, void* recvbuf,
int recvcount, const MPI::Datatype& recvtype,
int root) const
sendbuf Address of send buffer (choice, significant only at root).
sendcount Number of elements sent to each process (integer, significant
only at root).
sendtype Datatype of send buffer elements (handle, significant only at
recvcount Number of elements in receive buffer (integer).
recvtype Datatype of receive buffer elements (handle).
root Rank of sending process (integer).
comm Communicator (handle).
recvbuf Address of receive buffer (choice).
IERROR Fortran only: Error status (integer).
MPI_Scatter is the inverse operation to MPI_Gather.
The outcome is as if the root executed n send operations,
MPI_Send(sendbuf, sendcount * n, sendtype, ...). This message is split
into n equal segments, the ith segment is sent to the ith process in
the group, and each process receives this message as above.
The send buffer is ignored for all nonroot processes.
The type signature associated with sendcount, sendtype at the root must
be equal to the type signature associated with recvcount, recvtype at
all processes (however, the type maps may be different). This implies
that the amount of data sent must be equal to the amount of data
received, pairwise between each process and the root. Distinct type
maps between sender and receiver are still allowed.
All arguments to the function are significant on process root, while on
other processes, only arguments recvbuf, recvcount, recvtype, root,
comm are significant. The arguments root and comm must have identical
values on all processes.
The specification of counts and types should not cause any location on
the root to be read more than once.
Rationale: Though not needed, the last restriction is imposed so as to
achieve symmetry with MPI_Gather, where the corresponding restriction
(a multiple-write restriction) is necessary.
Example: The reverse of Example 1 in the MPI_Gather manpage. Scatter
sets of 100 ints from the root to each process in the group.
int root, rbuf;
sendbuf = (int *)malloc(gsize*100*sizeof(int));
MPI_Scatter(sendbuf, 100, MPI_INT, rbuf, 100,
MPI_INT, root, comm);
USE OF IN-PLACE OPTION
When the communicator is an intracommunicator, you can perform a gather
operation in-place (the output buffer is used as the input buffer).
Use the variable MPI_IN_PLACE as the value of the root process recvbuf.
In this case, recvcount and recvtype are ignored, and the root process
sends no data to itself.
Note that MPI_IN_PLACE is a special kind of value; it has the same
restrictions on its use as MPI_BOTTOM.
Because the in-place option converts the receive buffer into a send-
and-receive buffer, a Fortran binding that includes INTENT must mark
these as INOUT, not OUT.
WHEN COMMUNICATOR IS AN INTER-COMMUNICATOR
When the communicator is an inter-communicator, the root process in the
first group sends data to all processes in the second group. The first
group defines the root process. That process uses MPI_ROOT as the
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
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.
Open MPI 1.2 September 2006 MPI_Scatter(3OpenMPI)
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