MPI_INEIGHBOR_ALLGATHERV(3)

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💅 MPI_INEIGHBOR_ALLGATHERV(3)

okay bestie, welcome to the Open MPI manual page for MPI_Neighbor_allgatherv, MPI_Ineighbor_allgatherv, and MPI_Neighbor_allgatherv_init — they gather and distribute data from and to all neighbors, and each process may contribute a different amount of data. slay. ✨

✨ SYNTAX ✨

🧁 C Syntax

          #include <mpi.h>

          int MPI_Neighbor_allgatherv(const void *sendbuf, int sendcount,
               MPI_Datatype sendtype, void *recvbuf, const int recvcounts[],
               const int displs[], MPI_Datatype recvtype, MPI_Comm comm)

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

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

🧁 Fortran Syntax

          USE MPI
          ! or the older form: INCLUDE 'mpif.h'
          MPI_NEIGHBOR_ALLGATHERV(SENDBUF, SENDCOUNT, SENDTYPE, RECVBUF,
                       RECVCOUNT, DISPLS, RECVTYPE, COMM, IERROR)
               <type>  SENDBUF(*), RECVBUF(*)
               INTEGER SENDCOUNT, SENDTYPE, RECVCOUNT(*),
               INTEGER DISPLS(*), RECVTYPE, COMM, IERROR

          MPI_INEIGHBOR_ALLGATHERV(SENDBUF, SENDCOUNT, SENDTYPE, RECVBUF,
                       RECVCOUNT, DISPLS, RECVTYPE, COMM, REQUEST, IERROR)
               <type>  SENDBUF(*), RECVBUF(*)
               INTEGER SENDCOUNT, SENDTYPE, RECVCOUNT(*),
               INTEGER DISPLS(*), RECVTYPE, COMM,REQUEST, IERROR

          MPI_NEIGHBOR_ALLGATHERV_INIT(SENDBUF, SENDCOUNT, SENDTYPE, RECVBUF,
                       RECVCOUNT, DISPLS, RECVTYPE, COMM, INFO, REQUEST, IERROR)
               <type>  SENDBUF(*), RECVBUF(*)
               INTEGER SENDCOUNT, SENDTYPE, RECVCOUNT(*),
               INTEGER DISPLS(*), RECVTYPE, COMM,INFO,REQUEST, IERROR

🧁 Fortran 2008 Syntax

          USE mpi_f08
          MPI_Neighbor_allgatherv(sendbuf, sendcount, sendtype, recvbuf, recvcounts,
                       displs, recvtype, comm, ierror)
               TYPE(*), DIMENSION(..), INTENT(IN) :: sendbuf
               TYPE(*), DIMENSION(..) :: recvbuf
               INTEGER, INTENT(IN) :: sendcount, recvcounts(*), displs(*)
               TYPE(MPI_Datatype), INTENT(IN) :: sendtype, recvtype
               TYPE(MPI_Comm), INTENT(IN) :: comm
               INTEGER, OPTIONAL, INTENT(OUT) :: ierror

          MPI_Ineighbor_allgatherv(sendbuf, sendcount, sendtype, recvbuf, recvcounts,
                       displs, recvtype, comm, request, ierror)
               TYPE(*), DIMENSION(..), INTENT(IN), ASYNCHRONOUS :: sendbuf
               TYPE(*), DIMENSION(..), ASYNCHRONOUS :: recvbuf
               INTEGER, INTENT(IN) :: sendcount
               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_Neighbor_allgatherv_init(sendbuf, sendcount, sendtype, recvbuf, recvcounts,
                       displs, recvtype, comm, info, request, ierror)
               TYPE(*), DIMENSION(..), INTENT(IN), ASYNCHRONOUS :: sendbuf
               TYPE(*), DIMENSION(..), ASYNCHRONOUS :: recvbuf
               INTEGER, INTENT(IN) :: sendcount
               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

🌸 INPUT PARAMETERS 🌸

  • sendbuf — starting address of the send buffer (choice). 💌
  • sendcount — number of elements in the send buffer (integer).
  • sendtype — datatype of send buffer elements (handle).
  • recvcount — integer array of length group size, holding the number of elements received from each neighbor. 🫶
  • displs — integer array of length group size. Entry i specifies the displacement relative to recvbuf at which to place the incoming data from neighbor i. 🎯
  • recvtype — datatype of receive buffer elements (handle).
  • comm — communicator (handle). the group chat itself, basically. 💬
  • info — Info (handle, persistent only).:

💖 OUTPUT PARAMETERS 💖

  • recvbuf — address of the receive buffer (choice).
  • request — request (handle, non-blocking only). your lil “bestie I’ll text you when it’s done” object. 📱
  • ierror — Fortran only: error status (integer).

🦋 DESCRIPTION 🦋

MPI_Neighbor_allgatherv is similar to MPI_Neighbor_allgather in that all processes gather data from all neighbors — except that each process can send a different amount of data. The block of data sent from the *j*th neighbor is received by every neighbor and placed in the *j*th block of the buffer. The neighbors and buffer layout is determined by the topology of comm. recvbuf.

The type signature associated with sendcount, sendtype, at process j must be equal to the type signature associated with the corresponding entry in recvcounts on neighboring processes. no cap, that match has to be exact. ✨

🌈 NEIGHBOR ORDERING 🌈

For a distributed graph topology, created with MPI_Dist_graph_create, the sequence of neighbors in the send and receive buffers at each process is defined as the sequence returned by MPI_Dist_graph_neighbors for destinations and sources, respectively.

For a general graph topology, created with MPI_Graph_create, the order of neighbors in the send and receive buffers is defined as the sequence of neighbors as returned by MPI_Graph_neighbors. Note that general graph topologies should generally be replaced by the distributed graph topologies. okay tiny glow-up advice, noted. 💅

For a Cartesian topology, created with MPI_Cart_create, the sequence of neighbors in the send and receive buffers at each process is defined by order of the dimensions, first the neighbor in the negative direction and then in the positive direction with displacement 1. The numbers of sources and destinations in the communication routines are 2*ndims with ndims defined in MPI_Cart_create. If a neighbor does not exist, i.e., at the border of a Cartesian topology in the case of a non-periodic virtual grid dimension (i.e., periods[…]==false), then this neighbor is defined to be MPI_PROC_NULL.

If a neighbor in any of the functions is MPI_PROC_NULL, then the neighborhood collective communication behaves like a point-to-point communication with MPI_PROC_NULL in this direction. That is, the buffer is still part of the sequence of neighbors but it is neither communicated nor updated. iconic ghosting behavior, honestly. 👻

🎀 NOTES 🎀

The MPI_IN_PLACE option for sendbuf is not meaningful for this operation. nope, not the vibe here. 🙈

🔥 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. bestie, that’s a real “we might not make it to brunch” situation. 🫠

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_Neighbor_allgather
  • MPI_Cart_create
  • MPI_Graph_create
  • MPI_Dist_graph_create

2003-2026, The Open MPI Community

okay that’s the whole page, bestie — source/version: Open MPI, dated Sep 11, 2026. stay iconic, and may all your neighbors be exactly where you expect them. 💖✨

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