17.2.165. MPI_Gatherv_init — Open MPI 5.0.10 documentation

# 17.2.165. MPI_Gatherv_init

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

## 17.2.165.1. SYNTAX

### 17.2.165.1.1. 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)

    int MPI_Gatherv_init(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_Info info, MPI_Request *request)

### 17.2.165.1.2. Fortran Syntax

    USE MPI
    ! or the older form: 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

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

### 17.2.165.1.3. Fortran 2008 Syntax

    USE mpi_f08

    MPI_Gatherv(sendbuf, sendcount, sendtype, recvbuf, recvcounts, displs,
            recvtype, root, comm, ierror)
        TYPE(*), DIMENSION(..), INTENT(IN) :: sendbuf
        TYPE(*), DIMENSION(..) :: recvbuf
        INTEGER, INTENT(IN) :: sendcount, recvcounts(*), displs(*), root
        TYPE(MPI_Datatype), INTENT(IN) :: sendtype, recvtype
        TYPE(MPI_Comm), INTENT(IN) :: comm
        INTEGER, OPTIONAL, INTENT(OUT) :: ierror

    MPI_Igatherv(sendbuf, sendcount, sendtype, recvbuf, recvcounts, displs,
            recvtype, root, comm, request, ierror)
        TYPE(*), DIMENSION(..), INTENT(IN), ASYNCHRONOUS :: sendbuf
        TYPE(*), DIMENSION(..), ASYNCHRONOUS :: recvbuf
        INTEGER, INTENT(IN) :: sendcount, root
        INTEGER, INTENT(IN), ASYNCHRONOUS :: recvcounts(*), displs(*)
        TYPE(MPI_Datatype), INTENT(IN) :: sendtype, recvtype
        TYPE(MPI_Comm), INTENT(IN) :: comm
        TYPE(MPI_Request), INTENT(OUT) :: request
        INTEGER, OPTIONAL, INTENT(OUT) :: ierror

    MPI_Gatherv_init(sendbuf, sendcount, sendtype, recvbuf, recvcounts, displs,
            recvtype, root, comm, info, request, ierror)
        TYPE(*), DIMENSION(..), INTENT(IN), ASYNCHRONOUS :: sendbuf
        TYPE(*), DIMENSION(..), ASYNCHRONOUS :: recvbuf
        INTEGER, INTENT(IN) :: sendcount, root
        INTEGER, INTENT(IN), ASYNCHRONOUS :: recvcounts(*), displs(*)
        TYPE(MPI_Datatype), INTENT(IN) :: sendtype, recvtype
        TYPE(MPI_Comm), INTENT(IN) :: comm
        TYPE(MPI_Info), INTENT(IN) :: info
        TYPE(MPI_Request), INTENT(OUT) :: request
        INTEGER, OPTIONAL, INTENT(OUT) :: ierror

## 17.2.165.2. 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).

- `info` : Info (handle, persistent only).

## 17.2.165.3. OUTPUT PARAMETERS

- `recvbuf`Address of receive buffer (choice, significant only at

    root).

- `request` : Request (handle, non-blocking only).

- `ierror` : Fortran only: Error status (integer).

## 17.2.165.4. 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 );
    de = (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);

## 17.2.165.5. 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.

## 17.2.165.6. 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.

## 17.2.165.7. ERRORS

Almost all MPI routines return an error value; C routines as the return result of the function and Fortran routines in the last argument.

Before the error value is returned, the current MPI error handler associated with the communication object (e.g., communicator, window, file) is called. If no communication object is associated with the MPI call, then the call is considered attached to MPI_COMM_SELF and will call the associated MPI error handler. When MPI_COMM_SELF is not initialized (i.e., before MPI_Init/MPI_Init_thread, after MPI_Finalize, or when using the Sessions Model exclusively) the error raises the initial error handler. The initial error handler can be changed by calling MPI_Comm_set_errhandler on MPI_COMM_SELF when using the World model, or the mpi_initial_errhandler CLI argument to mpiexec or info key to MPI_Comm_spawn/MPI_Comm_spawn_multiple. If no other appropriate error handler has been set, then the MPI_ERRORS_RETURN error handler is called for MPI I/O functions and the MPI_ERRORS_ABORT error handler is called for all other MPI functions.

Open MPI includes three predefined error handlers that can be used:

- `MPI_ERRORS_ARE_FATAL` Causes the program to abort all connected MPI processes.

- `MPI_ERRORS_ABORT` An error handler that can be invoked on a communicator, window, file, or session. When called on a communicator, it acts as if MPI_Abort was called on that communicator. If called on a window or file, acts as if MPI_Abort was called on a communicator containing the group of processes in the corresponding window or file. If called on a session, aborts only the local process.

- `MPI_ERRORS_RETURN` Returns an error code to the application.

MPI applications can also implement their own error handlers by calling:

- MPI_Comm_create_errhandler then MPI_Comm_set_errhandler

- MPI_File_create_errhandler then MPI_File_set_errhandler

- MPI_Session_create_errhandler then MPI_Session_set_errhandler or at MPI_Session_init

- MPI_Win_create_errhandler then MPI_Win_set_errhandler

Note that MPI does not guarantee that an MPI program can continue past an error.

See the MPI man page for a full list of MPI error codes.

See the Error Handling section of the MPI-3.1 standard for more information.

See also

MPI_Gather