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MPI_Scatterv(3OpenMPI)                                                                MPI_Scatterv(3OpenMPI)



NAME
       MPI_Scatterv - Scatters a buffer in parts to all tasks in a group.


SYNTAX
C Syntax
       #include <mpi.h>
       int MPI_Scatterv(void *sendbuf, int *sendcounts, int *displs,
            MPI_Datatype sendtype, void *recvbuf, int recvcount,
            MPI_Datatype recvtype, int root, MPI_Comm comm)


Fortran Syntax
       INCLUDE 'mpif.h'
       MPI_SCATTERV(SENDBUF, SENDCOUNTS, DISPLS, SENDTYPE, RECVBUF,
                 RECVCOUNT, RECVTYPE, ROOT, COMM, IERROR)
            <type>    SENDBUF(*), RECVBUF(*)
            INTEGER   SENDCOUNTS(*), DISPLS(*), SENDTYPE
            INTEGER   RECVCOUNT, RECVTYPE, ROOT, COMM, IERROR


C++ Syntax
       #include <mpi.h>
       void MPI::Comm::Scatterv(const void* sendbuf, const int sendcounts[],
            const int displs[], const MPI::Datatype& sendtype,
            void* recvbuf, int recvcount, const MPI::Datatype&
            recvtype, int root) const


INPUT PARAMETERS
       sendbuf   Address of send buffer (choice, significant only at root).

       sendcounts
                 Integer array (of length group size) specifying the number of elements to send to each pro-cessor. processor.
                 cessor.

       displs    Integer array (of length group size). Entry i specifies the displacement (relative to send-buf) sendbuf)
                 buf) from which to take the outgoing data to process i.

       sendtype  Datatype of send buffer elements (handle).

       recvcount Number of elements in receive buffer (integer).

       recvtype  Datatype of receive buffer elements (handle).

       root      Rank of sending process (integer).

       comm      Communicator (handle).


OUTPUT PARAMETERS
       recvbuf   Address of receive buffer (choice).

       IERROR    Fortran only: Error status (integer).


DESCRIPTION
       MPI_Scatterv is the inverse operation to MPI_Gatherv.

       MPI_Scatterv  extends the functionality of MPI_Scatter by allowing a varying count of data to be sent
       to each process, since sendcounts is now an array.  It also allows more flexibility as to  where  the
       data is taken from on the root, by providing the new argument, displs.

       The outcome is as if the root executed n send operations,

           MPI_Send(sendbuf + displs[i] * extent(sendtype), \
                    sendcounts[i], sendtype, i, ...)

       and each process executed a receive,

           MPI_Recv(recvbuf, recvcount, recvtype, root, ...)

       The send buffer is ignored for all nonroot processes.

       The  type signature implied by sendcount[i], sendtype at the root must be equal to the type signature
       implied by recvcount, recvtype at process i (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  argu-ments arguments
       ments recvbuf, recvcount, recvtype, root, comm are significant. The arguments root and comm must have
       identical values on all processes.

       The specification of counts, types, and displacements should not cause any location on the root to be
       read more than once.

       Example  1:  The  reverse  of  Example 5 in the MPI_Gatherv manpage. We have a varying stride between
       blocks at sending (root) side, at the receiving side we receive 100 - i elements into the ith  column
       of a 100 x 150 C array at process i.

           MPI_Comm comm;
               int gsize,recvarray[100][150],*rptr;
               int root, *sendbuf, myrank, bufsize, *stride;
               MPI_Datatype rtype;
               int i, *displs, *scounts, offset;
               ...
               MPI_Comm_size( comm, &gsize);
               MPI_Comm_rank( comm, &myrank );

               stride = (int *)malloc(gsize*sizeof(int));
               ...
               /* stride[i] for i = 0 to gsize-1 is set somehow
                * sendbuf comes from elsewhere
                */
               ...
               displs = (int *)malloc(gsize*sizeof(int));
               scounts = (int *)malloc(gsize*sizeof(int));
               offset = 0;
               for (i=0; i<gsize; ++i) {
                   displs[i] = offset;
                   offset += stride[i];
                   scounts[i] = 100 - i;
               }
               /* Create datatype for the column we are receiving
                */
               MPI_Type_vector( 100-myrank, 1, 150, MPI_INT, &rtype);
               MPI_Type_commit( &rtype );
               rptr = &recvarray[0][myrank];
               MPI_Scatterv(sendbuf, scounts, displs, MPI_INT,
                            rptr, 1, rtype, root, comm);

       Example  2: The reverse of Example 1 in the MPI_Gather manpage. The root process scatters sets of 100
       ints to the other processes, but the sets of 100  are  stride  ints  apart  in  the  sending  buffer.
       Requires use of MPI_Scatterv, where stride >= 100.

           MPI_Comm comm;
               int gsize,*sendbuf;
               int root, rbuf[100], i, *displs, *scounts;

           ...

           MPI_Comm_size(comm, &gsize);
               sendbuf = (int *)malloc(gsize*stride*sizeof(int));
               ...
               displs = (int *)malloc(gsize*sizeof(int));
               scounts = (int *)malloc(gsize*sizeof(int));
               for (i=0; i<gsize; ++i) {
                   displs[i] = i*stride;
                   scounts[i] = 100;
               }
               MPI_Scatterv(sendbuf, scounts, displs, 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 out-
       put 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 value of its root argument.  The remaining processes use MPI_PROC_NULL as the value  of  their
       root  argument.   All  processes  in  the second group use the rank of that root process in the first
       group as the value of their root argument.   The receive buffer argument of the root process  in  the
       first group must be consistent with the receive buffer argument of the processes in the second group.


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++ 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.


SEE ALSO
       MPI_Gather
       MPI_Gatherv
       MPI_Scatter






Open MPI 1.2                                   September 2006                         MPI_Scatterv(3OpenMPI)

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