MPI_GRAPH_CREATE(comm_old, nnodes, index, edges, reorder, comm_graph) | |
IN comm_old | input communicator (handle) |
IN nnodes | number of nodes in graph (integer) |
IN index | array of integers describing node degrees (see below) |
IN edges | array of integers describing graph edges (see below) |
IN reorder | ranking may be reordered ( true) or not ( false) (logical) |
OUT comm_graph | communicator with graph topology added (handle) |
int MPI_Graph_create(MPI_Comm comm_old, int nnodes, int *index, int *edges, int reorder, MPI_Comm *comm_graph)
MPI_GRAPH_CREATE(COMM_OLD, NNODES, INDEX, EDGES, REORDER, COMM_GRAPH, IERROR)
INTEGER COMM_OLD, NNODES, INDEX(*), EDGES(*), COMM_GRAPH, IERROR
LOGICAL REORDER
{ MPI::Graphcomm MPI::Intracomm::Create_graph(int nnodes, const int index[], const int edges[], bool reorder) const (binding deprecated, see Section Deprecated since MPI-2.2
) }
MPI_GRAPH_CREATE returns a handle to a new communicator to which the
graph topology information is attached. If reorder = false then the
rank of each process in the new group is identical to its rank in the old
group. Otherwise, the function may reorder the processes. If the size,
nnodes, of the graph is smaller than the size of the group of
comm, then some processes are returned MPI_COMM_NULL, in
analogy to MPI_CART_CREATE and MPI_COMM_SPLIT.
If the graph is empty, i.e., nnodes == 0,
then MPI_COMM_NULL is returned in all processes.
The call
is erroneous if it specifies a graph that is larger than the group size of the
input communicator.
The three parameters nnodes, index and edges define the graph structure. nnodes is the number of nodes of the graph. The nodes are numbered from 0 to nnodes-1. The i-th entry of array index stores the total number of neighbors of the first i graph nodes. The lists of neighbors of nodes 0, 1, ..., nnodes-1 are stored in consecutive locations in array edges. The array edges is a flattened representation of the edge lists. The total number of entries in index is nnodes and the total number of entries in edges is equal to the number of graph edges.
The definitions of the arguments nnodes, index, and edges are illustrated with the following simple example.
Example
Assume there are four processes 0, 1, 2, 3 with the following
adjacency matrix:
process neighbors
0 1, 3
1 0
2 3
3 0, 2
Then, the input arguments are:
nnodes = 4
index = 2, 3, 4, 6
edges = 1, 3, 0, 3, 0, 2
Thus, in C, index[0] is the degree of node zero, and index[i] - index[i-1] is the degree of node i, i=1, ..., nnodes-1; the list of neighbors of node zero is stored in edges[j], for and the list of neighbors of node i, i > 0, is stored in edges[j], .
In Fortran, index(1) is the degree of node zero, and index(i+1) - index(i) is the degree of node i, i=1, ..., nnodes-1; the list of neighbors of node zero is stored in edges(j), for and the list of neighbors of node i, i > 0, is stored in edges(j), .
A single process is allowed to be defined multiple times in the list of
neighbors of a process (i.e., there may be multiple edges between two
processes). A process is also allowed to be a neighbor to itself (i.e., a self
loop in the graph). The adjacency matrix is allowed to be non-symmetric.
Advice to users.
Performance implications of using multiple edges or a non-symmetric
adjacency matrix are not defined. The definition of a node-neighbor
edge does not imply a direction of the communication.
( End of advice to users.)
Advice
to implementors.
The following topology information is likely to be stored with a communicator: