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MueLu_AggregationPhase3Algorithm_kokkos_def.hpp
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46 #ifndef MUELU_AGGREGATIONPHASE3ALGORITHM_KOKKOS_DEF_HPP
47 #define MUELU_AGGREGATIONPHASE3ALGORITHM_KOKKOS_DEF_HPP
48 
49 #ifdef HAVE_MUELU_KOKKOS_REFACTOR
50 
51 #include <Teuchos_Comm.hpp>
52 #include <Teuchos_CommHelpers.hpp>
53 
54 #include <Xpetra_Vector.hpp>
55 
57 
58 #include "MueLu_Aggregates_kokkos.hpp"
59 #include "MueLu_Exceptions.hpp"
60 #include "MueLu_LWGraph_kokkos.hpp"
61 #include "MueLu_Monitor.hpp"
62 
63 namespace MueLu {
64 
65  // Try to stick unaggregated nodes into a neighboring aggregate if they are
66  // not already too big. Otherwise, make a new aggregate
67  template <class LocalOrdinal, class GlobalOrdinal, class Node>
68  void AggregationPhase3Algorithm_kokkos<LocalOrdinal, GlobalOrdinal, Node>::BuildAggregates(const ParameterList& params, const LWGraph_kokkos& graph, Aggregates_kokkos& aggregates, std::vector<unsigned>& aggStat, LO& numNonAggregatedNodes) const {
69  Monitor m(*this, "BuildAggregates");
70 
71  bool makeNonAdjAggs = false;
72  bool error_on_isolated = false;
73  if(params.isParameter("aggregation: error on nodes with no on-rank neighbors"))
74  error_on_isolated = params.get<bool>("aggregation: error on nodes with no on-rank neighbors");
75  if(params.isParameter("aggregation: phase3 avoid singletons"))
76  makeNonAdjAggs = params.get<bool>("aggregation: phase3 avoid singletons");
77 
78  const LO numRows = graph.GetNodeNumVertices();
79  const int myRank = graph.GetComm()->getRank();
80 
81  ArrayRCP<LO> vertex2AggId = aggregates.GetVertex2AggId()->getDataNonConst(0);
82  ArrayRCP<LO> procWinner = aggregates.GetProcWinner() ->getDataNonConst(0);
83 
84  LO numLocalAggregates = aggregates.GetNumAggregates();
85 
86  for (LO i = 0; i < numRows; i++) {
87  if (aggStat[i] == AGGREGATED || aggStat[i] == IGNORED)
88  continue;
89 
90  auto neighOfINode = graph.getNeighborVertices(i);
91 
92  // We don't want a singleton. So lets see if there is an unaggregated
93  // neighbor that we can also put with this point.
94  bool isNewAggregate = false;
95  bool failedToAggregate = true;
96  for (int j = 0; j < as<int>(neighOfINode.length); j++) {
97  LO neigh = neighOfINode(j);
98 
99  if (neigh != i && graph.isLocalNeighborVertex(neigh) && aggStat[neigh] == READY) {
100  isNewAggregate = true;
101 
102  aggStat [neigh] = AGGREGATED;
103  vertex2AggId[neigh] = numLocalAggregates;
104  procWinner [neigh] = myRank;
105 
106  numNonAggregatedNodes--;
107  }
108  }
109 
110  if (isNewAggregate) {
111  // Create new aggregate (not singleton)
112  aggStat [i] = AGGREGATED;
113  procWinner [i] = myRank;
114  numNonAggregatedNodes--;
115  aggregates.SetIsRoot(i);
116  vertex2AggId[i] = numLocalAggregates++;
117 
118  failedToAggregate = false;
119  } else {
120  // We do not want a singleton, but there are no non-aggregated
121  // neighbors. Lets see if we can connect to any other aggregates
122  // NOTE: This is very similar to phase 2b, but simpler: we stop with
123  // the first found aggregate
124  int j = 0;
125  for (; j < as<int>(neighOfINode.length); j++) {
126  LO neigh = neighOfINode(j);
127 
128  // We don't check (neigh != rootCandidate), as it is covered by checking (aggStat[neigh] == AGGREGATED)
129  if (graph.isLocalNeighborVertex(neigh) && aggStat[neigh] == AGGREGATED)
130  break;
131  }
132 
133  if (j < as<int>(neighOfINode.length)) {
134  // Assign to an adjacent aggregate
135  vertex2AggId[i] = vertex2AggId[neighOfINode(j)];
136  numNonAggregatedNodes--;
137  failedToAggregate = false;
138  }
139  }
140 
141  if (failedToAggregate && makeNonAdjAggs) {
142  // it we are still didn't find an aggregate home for i (i.e., we have
143  // a potential singleton), we are desperate. Basically, we seek to
144  // group i with any other local point to form an aggregate (even if
145  // it is not a neighbor of i. Either we find a vertex that is already
146  // aggregated or not aggregated.
147  // 1) if found vertex is aggregated, then assign i to this aggregate
148  // 2) if found vertex is not aggregated, create new aggregate
149 
150 
151  for (LO ii = 0; ii < numRows; ii++) { // look for anyone else
152  if ( (ii != i) && (aggStat[ii] != IGNORED) ) {
153  failedToAggregate = false; // found someone so start
154  aggStat[i] = AGGREGATED; // marking i as aggregated
155  procWinner[i]= myRank;
156 
157  if (aggStat[ii] == AGGREGATED)
158  vertex2AggId[i] = vertex2AggId[ii];
159  else {
160  vertex2AggId[i] = numLocalAggregates;
161  vertex2AggId[ii] = numLocalAggregates;
162  aggStat [ii] = AGGREGATED;
163  procWinner [ii] = myRank;
164  numNonAggregatedNodes--; // acounts for ii now being aggregated
165  aggregates.SetIsRoot(i);
166  numLocalAggregates++;
167  }
168  numNonAggregatedNodes--; // accounts for i now being aggregated
169  break;
170  } //if ( (ii != i) && (aggStat[ii] != IGNORED ...
171  } //for (LO ii = 0; ...
172  }
173  if (failedToAggregate) {
174  if (error_on_isolated) {
175  // Error on this isolated node, as the user has requested
176  std::ostringstream oss;
177  oss<<"MueLu::AggregationPhase3Algorithm::BuildAggregates: MueLu has detected a non-Dirichlet node that has no on-rank neighbors and is terminating (by user request). "<<std::endl;
178  oss<<"If this error is being generated at level 0, this is due to an initial partitioning problem in your matrix."<<std::endl;
179  oss<<"If this error is being generated at any other level, try turning on repartitioning, which may fix this problem."<<std::endl;
180  throw Exceptions::RuntimeError(oss.str());
181  } else {
182  // Create new aggregate (singleton)
183  this->GetOStream(Warnings1) << "Found singleton: " << i << std::endl;
184 
185  aggregates.SetIsRoot(i);
186  vertex2AggId[i] = numLocalAggregates++;
187  numNonAggregatedNodes--;
188  }
189  }
190 
191  // One way or another, the node is aggregated (possibly into a singleton)
192  aggStat [i] = AGGREGATED;
193  procWinner[i] = myRank;
194 
195  }
196 
197  // update aggregate object
198  aggregates.SetNumAggregates(numLocalAggregates);
199  }
200 
201 } // end namespace
202 
203 #endif // HAVE_MUELU_KOKKOS_REFACTOR
204 #endif // MUELU_AGGREGATIONPHASE3ALGORITHM_KOKKOS_DEF_HPP
LocalOrdinal LO
Additional warnings.