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MPI_Scatterv(3)			   Open MPI		       MPI_Scatterv(3)

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

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

       int MPI_Iscatterv(const void *sendbuf, const int sendcounts[], const int displs[],
	    MPI_Datatype sendtype, void *recvbuf, int recvcount,
	    MPI_Datatype recvtype, int root, MPI_Comm comm, MPI_Request *request)

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

       MPI_ISCATTERV(SENDBUF, SENDCOUNTS, DISPLS, SENDTYPE, RECVBUF,
		 RECVCOUNT, RECVTYPE, ROOT, COMM, REQUEST, IERROR)
	    <type>    SENDBUF(*), RECVBUF(*)
	    INTEGER   SENDCOUNTS(*), DISPLS(*), SENDTYPE
	    INTEGER   RECVCOUNT, RECVTYPE, ROOT, COMM, REQUEST, 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 processor.

       displs	 Integer  array	 (of length group size). Entry i specifies the
		 displacement (relative to sendbuf) 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).

       request	 Request (handle, non-blocking only).

       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 arguments	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  receiv‐
       ing 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 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
       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++ 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.

SEE ALSO
       MPI_Gather
       MPI_Gatherv
       MPI_Scatter

1.7.4				 Feb 04, 2014		       MPI_Scatterv(3)
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