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 MPI_Neighbor_allgatherv, MPI_Ineighbor_allgatherv, MPI_Neighbor_allgatherv_init — Gathers and distributes data from and to all neighbors. Each process may contribute a different amount of data. SYNTAXC Syntax#include <mpi.h> int MPI_Neighbor_allgatherv(const void *sendbuf, int sendcount, Fortran SyntaxUSE MPI ! or the older form: INCLUDE 'mpif.h' MPI_NEIGHBOR_ALLGATHERV(SENDBUF, SENDCOUNT, SENDTYPE, RECVBUF, Fortran 2008 SyntaxUSE mpi_f08 MPI_Neighbor_allgatherv(sendbuf, sendcount, sendtype, recvbuf, recvcounts, INPUT PARAMETERS
 OUTPUT PARAMETERS
 DESCRIPTIONMPI_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 jth neighbor is received by every neighbor and placed in the jth 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. NEIGHBOR ORDERINGFor 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. 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. NOTESThe MPI_IN_PLACE option for sendbuf is not meaningful for this operation. ERRORSAlmost 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 applications can also implement their own error handlers by calling: 
 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: 
 COPYRIGHT2003-2025, The Open MPI Community 
 
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