bionic (3) MPI_Gatherv.openmpi.3.gz

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NAME

       MPI_Gatherv, MPI_Igatherv - Gathers varying amounts of data from all processes to the root process

SYNTAX

C Syntax

       #include <mpi.h>
       int MPI_Gatherv(const void *sendbuf, int sendcount, MPI_Datatype sendtype,
            void *recvbuf, const int recvcounts[], const int displs[], MPI_Datatype recvtype,
            int root, MPI_Comm comm)

       int MPI_Igatherv(const void *sendbuf, int sendcount, MPI_Datatype sendtype,
            void *recvbuf, const int recvcounts[], const int displs[], MPI_Datatype recvtype,
            int root, MPI_Comm comm, MPI_Request *request)

Fortran Syntax

       INCLUDE 'mpif.h'
       MPI_GATHERV(SENDBUF, SENDCOUNT, SENDTYPE, RECVBUF, RECVCOUNTS,
                 DISPLS, RECVTYPE, ROOT, COMM, IERROR)
            <type>    SENDBUF(*), RECVBUF(*)
            INTEGER   SENDCOUNT, SENDTYPE, RECVCOUNTS(*), DISPLS(*)
            INTEGER   RECVTYPE, ROOT, COMM, IERROR

       MPI_IGATHERV(SENDBUF, SENDCOUNT, SENDTYPE, RECVBUF, RECVCOUNTS,
                 DISPLS, RECVTYPE, ROOT, COMM, REQUEST, IERROR)
            <type>    SENDBUF(*), RECVBUF(*)
            INTEGER   SENDCOUNT, SENDTYPE, RECVCOUNTS(*), DISPLS(*)
            INTEGER   RECVTYPE, ROOT, COMM, REQUEST, IERROR

C++ Syntax

       #include <mpi.h>
       void MPI::Comm::Gatherv(const void* sendbuf, int sendcount,
            const MPI::Datatype& sendtype, void* recvbuf,
            const int recvcounts[], const int displs[],
            const MPI::Datatype& recvtype, int root) const = 0

INPUT PARAMETERS

       sendbuf   Starting address of send buffer (choice).

       sendcount Number of elements in send buffer (integer).

       sendtype  Datatype of send buffer elements (handle).

       recvcounts
                 Integer  array  (of length group size) containing the number of elements that are received from
                 each process (significant only at root).

       displs    Integer array (of length group size). Entry i specifies the displacement relative to recvbuf at
                 which to place the incoming data from process i (significant only at root).

       recvtype  Datatype of recv buffer elements (significant only at root) (handle).

       root      Rank of receiving process (integer).

       comm      Communicator (handle).

OUTPUT PARAMETERS

       recvbuf   Address of receive buffer (choice, significant only at root).

       request   Request (handle, non-blocking only).

       IERROR    Fortran only: Error status (integer).

DESCRIPTION

       MPI_Gatherv  extends  the  functionality  of  MPI_Gather  by  allowing  a varying count of data from each
       process, since recvcounts is now an array. It also allows more flexibility as to where the data is placed
       on the root, by providing the new argument, displs.

       The outcome is as if each process, including the root process, sends a message to the root,

           MPI_Send(sendbuf, sendcount, sendtype, root, ...)

       and the root executes n receives,

           MPI_Recv(recvbuf + disp[i] * extent(recvtype), \
                    recvcounts[i], recvtype, i, ...)

       Messages  are placed in the receive buffer of the root process in rank order, that is, the data sent from
       process j is placed in the jth portion of the receive buffer recvbuf on process root. The jth portion  of
       recvbuf begins at offset displs[j] elements (in terms of recvtype) into recvbuf.

       The receive buffer is ignored for all nonroot processes.

       The  type  signature  implied  by  sendcount,  sendtype  on process i must be equal to the type signature
       implied by recvcounts[i], recvtype at the root. 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, as illustrated in Example 2, below.

       All arguments to the function are significant on process root, while on other processes,  only  arguments
       sendbuf, sendcount, sendtype, 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
       written more than once. Such a call is erroneous.

       Example 1:  Now have each process send 100 ints to root, but place each set (of 100) stride ints apart at
       receiving end. Use MPI_Gatherv and the displs argument to achieve this effect. Assume stride >= 100.

             MPI_Comm comm;
             int gsize,sendarray[100];
             int root, *rbuf, stride;
             int *displs,i,*rcounts;

         ...

             MPI_Comm_size(comm, &gsize);
             rbuf = (int *)malloc(gsize*stride*sizeof(int));
             displs = (int *)malloc(gsize*sizeof(int));
             rcounts = (int *)malloc(gsize*sizeof(int));
             for (i=0; i<gsize; ++i) {
                 displs[i] = i*stride;
                 rcounts[i] = 100;
             }
             MPI_Gatherv(sendarray, 100, MPI_INT, rbuf, rcounts,
                         displs, MPI_INT, root, comm);

       Note that the program is erroneous if stride < 100.

       Example 2: Same as Example 1 on the receiving side, but send the 100 ints from the 0th column of a 100  *
       150 int array, in C.

             MPI_Comm comm;
             int gsize,sendarray[100][150];
             int root, *rbuf, stride;
             MPI_Datatype stype;
             int *displs,i,*rcounts;

         ...

             MPI_Comm_size(comm, &gsize);
             rbuf = (int *)malloc(gsize*stride*sizeof(int));
             displs = (int *)malloc(gsize*sizeof(int));
             rcounts = (int *)malloc(gsize*sizeof(int));
             for (i=0; i<gsize; ++i) {
                 displs[i] = i*stride;
                 rcounts[i] = 100;
             }
             /* Create datatype for 1 column of array
              */
             MPI_Type_vector(100, 1, 150, MPI_INT, &stype);
             MPI_Type_commit( &stype );
             MPI_Gatherv(sendarray, 1, stype, rbuf, rcounts,
                         displs, MPI_INT, root, comm);

       Example  3:  Process  i  sends  (100-i)  ints  from  the ith column of a 100 x 150 int array, in C. It is
       received into a buffer with stride, as in the previous two examples.

             MPI_Comm comm;
             int gsize,sendarray[100][150],*sptr;
             int root, *rbuf, stride, myrank;
             MPI_Datatype stype;
             int *displs,i,*rcounts;

         ...

             MPI_Comm_size(comm, &gsize);
             MPI_Comm_rank( comm, &myrank );
             rbuf = (int *)malloc(gsize*stride*sizeof(int));
             displs = (int *)malloc(gsize*sizeof(int));
             rcounts = (int *)malloc(gsize*sizeof(int));
             for (i=0; i<gsize; ++i) {
                 displs[i] = i*stride;
                 rcounts[i] = 100-i;  /* note change from previous example */
             }
             /* Create datatype for the column we are sending
              */
             MPI_Type_vector(100-myrank, 1, 150, MPI_INT, &stype);
             MPI_Type_commit( &stype );
             /* sptr is the address of start of "myrank" column
              */
             sptr = &sendarray[0][myrank];
             MPI_Gatherv(sptr, 1, stype, rbuf, rcounts, displs, MPI_INT,
                root, comm);

       Note that a different amount of data is received from each process.

       Example 4: Same as Example 3, but done in a different way at the sending end. We create a  datatype  that
       causes the correct striding at the sending end so that we read a column of a C array.

             MPI_Comm comm;
             int gsize,sendarray[100][150],*sptr;
             int root, *rbuf, stride, myrank, disp[2], blocklen[2];
             MPI_Datatype stype,type[2];
             int *displs,i,*rcounts;

         ...

             MPI_Comm_size(comm, &gsize);
             MPI_Comm_rank( comm, &myrank );
             rbuf = (int *)alloc(gsize*stride*sizeof(int));
             displs = (int *)malloc(gsize*sizeof(int));
             rcounts = (int *)malloc(gsize*sizeof(int));
             for (i=0; i<gsize; ++i) {
                 displs[i] = i*stride;
                 rcounts[i] = 100-i;
             }
             /* Create datatype for one int, with extent of entire row
              */
             disp[0] = 0;       disp[1] = 150*sizeof(int);
             type[0] = MPI_INT; type[1] = MPI_UB;
             blocklen[0] = 1;   blocklen[1] = 1;
             MPI_Type_struct( 2, blocklen, disp, type, &stype );
             MPI_Type_commit( &stype );
             sptr = &sendarray[0][myrank];
             MPI_Gatherv(sptr, 100-myrank, stype, rbuf, rcounts,
                         displs, MPI_INT, root, comm);

       Example  5: Same as Example 3 at sending side, but at receiving side we make the  stride between received
       blocks vary from block to block.

             MPI_Comm comm;
             int gsize,sendarray[100][150],*sptr;
             int root, *rbuf, *stride, myrank, bufsize;
             MPI_Datatype stype;
             int *displs,i,*rcounts,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
              */
         /* set up displs and rcounts vectors first
              */
             displs = (int *)malloc(gsize*sizeof(int));
             rcounts = (int *)malloc(gsize*sizeof(int));
             offset = 0;
             for (i=0; i<gsize; ++i) {
                 displs[i] = offset;
                 offset += stride[i];
                 rcounts[i] = 100-i;
             }
             /* the required buffer size for rbuf is now easily obtained
              */
             bufsize = displs[gsize-1]+rcounts[gsize-1];
             rbuf = (int *)malloc(bufsize*sizeof(int));
             /* Create datatype for the column we are sending
              */
             MPI_Type_vector(100-myrank, 1, 150, MPI_INT, &stype);
             MPI_Type_commit( &stype );
             sptr = &sendarray[0][myrank];
             MPI_Gatherv(sptr, 1, stype, rbuf, rcounts,
                         displs, MPI_INT, root, comm);

       Example 6: Process i sends num ints from the ith column of a 100 x 150 int array, in C.  The complicating
       factor is that the various values of num are not known to root, so a separate gather must first be run to
       find these out. The data is placed contiguously at the receiving end.

             MPI_Comm comm;
             int gsize,sendarray[100][150],*sptr;
             int root, *rbuf, stride, myrank, disp[2], blocklen[2];
             MPI_Datatype stype,types[2];
             int *displs,i,*rcounts,num;

         ...

             MPI_Comm_size( comm, &gsize);
             MPI_Comm_rank( comm, &myrank );

         /* First, gather nums to root
              */
             rcounts = (int *)malloc(gsize*sizeof(int));
             MPI_Gather( &num, 1, MPI_INT, rcounts, 1, MPI_INT, root, comm);
             /* root now has correct rcounts, using these we set
              * displs[] so that data is placed contiguously (or
              * concatenated) at receive end
              */
             displs = (int *)malloc(gsize*sizeof(int));
             displs[0] = 0;
             for (i=1; i<gsize; ++i) {
                 displs[i] = displs[i-1]+rcounts[i-1];
             }
             /* And, create receive buffer
              */
             rbuf = (int *)malloc(gsize*(displs[gsize-1]+rcounts[gsize-1])
                     *sizeof(int));
             /* Create datatype for one int, with extent of entire row
              */
             disp[0] = 0;       disp[1] = 150*sizeof(int);
             type[0] = MPI_INT; type[1] = MPI_UB;
             blocklen[0] = 1;   blocklen[1] = 1;
             MPI_Type_struct( 2, blocklen, disp, type, &stype );
             MPI_Type_commit( &stype );
             sptr = &sendarray[0][myrank];
             MPI_Gatherv(sptr, num, stype, rbuf, rcounts,
                         displs, MPI_INT, root, comm);

USE OF IN-PLACE OPTION

       The in-place option operates in the same way as it does for MPI_Gather.   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  sendbuf.   In  this  case,
       sendcount  and  sendtype  are ignored, and the contribution of the root process to the gathered vector is
       assumed to already be in the correct place in the receive buffer.

       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 gathers data from all
       the 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 send buffer argument of the processes in the first group must be
       consistent with the receive buffer argument of the root process 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_Scatter
       MPI_Scatterv