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MueLu_OnePtAggregationAlgorithm_kokkos_def.hpp
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46 #ifndef MUELU_ONEPTAGGREGATIONALGORITHM_DEF_HPP
47 #define MUELU_ONEPTAGGREGATIONALGORITHM_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 
56 #include "MueLu_OnePtAggregationAlgorithm_kokkos.hpp"
57 
58 #include "MueLu_LWGraph_kokkos.hpp"
59 #include "MueLu_Aggregates_kokkos.hpp"
60 #include "MueLu_Exceptions.hpp"
61 #include "MueLu_Monitor.hpp"
62 
63 namespace MueLu {
64 
65  template <class LocalOrdinal, class GlobalOrdinal, class Node>
66  OnePtAggregationAlgorithm_kokkos<LocalOrdinal, GlobalOrdinal, Node>::OnePtAggregationAlgorithm_kokkos(RCP<const FactoryBase> const &/* graphFact */)
67  {
68  }
69 
70  template <class LocalOrdinal, class GlobalOrdinal, class Node>
71  void OnePtAggregationAlgorithm_kokkos<LocalOrdinal, GlobalOrdinal, Node>::
72  BuildAggregates(Teuchos::ParameterList const & /* params */,
73  LWGraph_kokkos const & graph,
74  Aggregates_kokkos & aggregates,
76  LO& numNonAggregatedNodes) const {
77  Monitor m(*this, "BuildAggregates");
78 
80  = Kokkos::create_mirror(aggstat);
81  Kokkos::deep_copy(aggstatHost, aggstat);
82  std::vector<unsigned> aggStat;
83  aggStat.resize(aggstatHost.extent(0));
84  for(size_t idx = 0; idx < aggstatHost.extent(0); ++idx) {
85  aggStat[idx] = aggstatHost(idx);
86  }
87 
88  const LocalOrdinal nRows = graph.GetNodeNumVertices();
89  const int myRank = graph.GetComm()->getRank();
90 
91  // vertex ids for output
92  Teuchos::ArrayRCP<LocalOrdinal> vertex2AggId = aggregates.GetVertex2AggId()->getDataNonConst(0);
93  Teuchos::ArrayRCP<LocalOrdinal> procWinner = aggregates.GetProcWinner()->getDataNonConst(0);
94 
95  // some internal variables
96  LocalOrdinal nLocalAggregates = aggregates.GetNumAggregates(); // number of local aggregates on current proc
97  LocalOrdinal iNode1 = 0; // current node
98 
99  // main loop over all local rows of graph(A)
100  while (iNode1 < nRows) {
101 
102  if (aggStat[iNode1] == ONEPT) {
103 
104  aggregates.SetIsRoot(iNode1); // mark iNode1 as root node for new aggregate 'ag'
105  std::vector<int> aggList;
106  aggList.push_back(iNode1);
107  int aggIndex = nLocalAggregates++;
108 
109  // finalize aggregate
110  for (size_t k = 0; k < aggList.size(); k++) {
111  aggStat[aggList[k]] = IGNORED;
112  vertex2AggId[aggList[k]] = aggIndex;
113  procWinner[aggList[k]] = myRank;
114  }
115  numNonAggregatedNodes -= aggList.size();
116  }
117 
118  iNode1++;
119  } // end while
120 
121  for(size_t idx = 0; idx < aggstatHost.extent(0); ++idx) {
122  aggstatHost(idx) = aggStat[idx];
123  }
124  Kokkos::deep_copy(aggstat, aggstatHost);
125 
126  // update aggregate object
127  aggregates.SetNumAggregates(nLocalAggregates);
128  }
129 
130 } // end namespace
131 
132 #endif // HAVE_MUELU_KOKKOS_REFACTOR
133 #endif // MUELU_ONEPTAGGREGATIONALGORITHM_KOKKOS_DEF_HPP
MueLu::DefaultLocalOrdinal LocalOrdinal
void deep_copy(const View< DT, DP...> &dst, typename ViewTraits< DT, DP...>::const_value_type &value, typename std::enable_if< std::is_same< typename ViewTraits< DT, DP...>::specialize, void >::value >::type *=nullptr)
KOKKOS_INLINE_FUNCTION constexpr std::enable_if< std::is_integral< iType >::value, size_t >::type extent(const iType &r) const noexcept
size_type size() const