First try at artificial nodes
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3e409bea26
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@ -13,6 +13,7 @@
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#include "util/json_container.hpp"
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#include "util/log.hpp"
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#include <algorithm>
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#include <iterator>
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#include <vector>
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@ -137,6 +138,12 @@ int Partitioner::Run(const PartitionConfig &config)
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LogStatistics(config.compressed_node_based_graph_path.string(),
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recursive_bisection.BisectionIDs());
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// Up until now we worked on the compressed node based graph.
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// But what we actually need is a partition for the edge based graph to work on.
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// The following loads a mapping from node based graph to edge based graph.
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// Then loads the edge based graph tanslates the partition and modifies it.
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// For details see #3205
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auto mapping = LoadNodeBasedGraphToEdgeBasedGraphMapping(config.nbg_ebg_mapping_path.string());
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util::Log() << "Loaded node based graph to edge based graph mapping";
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@ -145,6 +152,14 @@ int Partitioner::Run(const PartitionConfig &config)
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<< edge_based_graph->GetNumberOfEdges() << " edges, "
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<< edge_based_graph->GetNumberOfNodes() << " nodes";
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// TODO: put translation into own function / file
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const auto &partition_ids = recursive_bisection.BisectionIDs();
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// Keyed by ebg node - stores flag if ebg node is border node or not.
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std::vector<bool> is_edge_based_border_node(edge_based_graph->GetNumberOfNodes());
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// Extract edge based border nodes, based on node based partition and mapping.
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for (const auto node_id : util::irange(0u, edge_based_graph->GetNumberOfNodes()))
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{
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const auto node_based_nodes = mapping.Lookup(node_id);
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@ -152,13 +167,47 @@ int Partitioner::Run(const PartitionConfig &config)
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const auto u = node_based_nodes.u;
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const auto v = node_based_nodes.v;
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auto partition_id = [](auto) {
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return 0; /*dummy*/
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};
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if (partition_id(u) != partition_id(v))
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if (partition_ids[u] == partition_ids[v])
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{
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// TODO: resolve border nodes u, v
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// Can use partition_ids[u/v] as partition for edge based graph `node_id`
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is_edge_based_border_node[node_id] = false;
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}
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else
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{
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// Border nodes u,v - need to be resolved. What we can do:
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// - 1) Pick one of the partitions randomly or by minimizing border edges.
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// - 2) Or: modify edge based graph, introducing artificial edges. We do this.
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is_edge_based_border_node[node_id] = true;
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}
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}
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const auto num_border_nodes =
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std::count(begin(is_edge_based_border_node), end(is_edge_based_border_node), true);
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util::Log() << "Fixing " << num_border_nodes << " edge based graph border nodes";
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// Keyed by ebg node - stores associated border nodes for nodes
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std::unordered_map<NodeID, NodeID> edge_based_border_node;
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edge_based_border_node.reserve(num_border_nodes);
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// For all edges in the edge based graph: if they start and end in different partitions
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// introduce artificial nodes and re-wire incoming / outgoing edges to these artificial ones.
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for (const auto source : util::irange(0u, edge_based_graph->GetNumberOfNodes()))
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{
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for (auto edge : edge_based_graph->GetAdjacentEdgeRange(source))
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{
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const auto target = edge_based_graph->GetTarget(edge);
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const auto opposite_edge = edge_based_graph->FindEdge(target, source);
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if (!is_edge_based_border_node[source] || !is_edge_based_border_node[target])
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continue;
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// TODO: assign and store partition ids to new nodes
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const auto artificial_node = edge_based_graph->InsertNode();
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EdgeBasedGraphEdgeData dummy{SPECIAL_EDGEID, /*is_boundary_arc=*/1, 0, 0, false, false};
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}
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}
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