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MueLu_PreserveDirichletAggregationAlgorithm_kokkos_def.hpp
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46 #ifndef MUELU_PRESERVEDIRICHLETAGGREGATIONALGORITHM_KOKKOS_DEF_HPP
47 #define MUELU_PRESERVEDIRICHLETAGGREGATIONALGORITHM_KOKKOS_DEF_HPP
48 
49 #include <Teuchos_Comm.hpp>
50 #include <Teuchos_CommHelpers.hpp>
51 
52 #include <Xpetra_Vector.hpp>
53 
55 
56 #include "MueLu_LWGraph_kokkos.hpp"
57 #include "MueLu_Aggregates.hpp"
58 #include "MueLu_Exceptions.hpp"
59 #include "MueLu_Monitor.hpp"
60 
61 namespace MueLu {
62 
63 template <class LocalOrdinal, class GlobalOrdinal, class Node>
66  LWGraph_kokkos const& graph,
67  Aggregates& aggregates,
68  Kokkos::View<unsigned*, typename LWGraph_kokkos::device_type>& aggStat,
69  LO& numNonAggregatedNodes) const {
70  Monitor m(*this, "BuildAggregates");
71  using local_ordinal_type = typename LWGraph_kokkos::local_ordinal_type;
72 
73  // Extract parameters and data from:
74  // 1) the parameter list
75  const bool preserve = params.get<bool>("aggregation: preserve Dirichlet points");
76 
77  // 2) the amalgamated graph
78  const LO numNodes = graph.GetNodeNumVertices();
79  const int myRank = graph.GetComm()->getRank();
80 
81  // 3) the aggregates
82  auto vertex2AggId = aggregates.GetVertex2AggId()->getDeviceLocalView(Xpetra::Access::ReadWrite);
83  auto procWinner = aggregates.GetProcWinner()->getDeviceLocalView(Xpetra::Access::ReadWrite);
84 
85  // A view is needed to count on the fly the current number of local aggregates
86  Kokkos::View<LO, device_type> aggCount("aggCount");
87  if (preserve) {
88  Kokkos::deep_copy(aggCount, aggregates.GetNumAggregates());
89  }
90  Kokkos::parallel_for(
91  "MueLu - PreserveDirichlet: tagging ignored nodes",
92  Kokkos::RangePolicy<local_ordinal_type, execution_space>(0, numNodes),
93  KOKKOS_LAMBDA(const local_ordinal_type nodeIdx) {
94  if (aggStat(nodeIdx) == BOUNDARY) {
95  aggStat(nodeIdx) = IGNORED;
96  const LO aggIdx = Kokkos::atomic_fetch_add(&aggCount(), 1);
97 
98  if (preserve) {
99  // aggregates.SetIsRoot(nodeIdx);
100 
101  vertex2AggId(nodeIdx, 0) = aggIdx;
102  procWinner(nodeIdx, 0) = myRank;
103  }
104  }
105  });
106  typename Kokkos::View<LO, device_type>::HostMirror aggCount_h = Kokkos::create_mirror_view(aggCount);
107  Kokkos::deep_copy(aggCount_h, aggCount);
108  // In this phase the number of new aggregates is the same
109  // as the number of newly aggregated nodes.
110  numNonAggregatedNodes -= (aggCount_h() - aggregates.GetNumAggregates());
111 
112  // update aggregate object
113  if (preserve) {
114  aggregates.SetNumAggregates(aggCount_h());
115  }
116 }
117 
118 } // namespace MueLu
119 
120 #endif // MUELU_PRESERVEDIRICHLETAGGREGATIONALGORITHM_KOKKOS_DEF_HPP
Lightweight MueLu representation of a compressed row storage graph.
const RCP< LOVector > & GetProcWinner() const
Returns constant vector that maps local node IDs to owning processor IDs.
Container class for aggregation information.
KOKKOS_INLINE_FUNCTION LO GetNumAggregates() const
T & get(const std::string &name, T def_value)
void BuildAggregates(const Teuchos::ParameterList &params, const LWGraph_kokkos &graph, Aggregates &aggregates, Kokkos::View< unsigned *, device_type > &aggStat, LO &numNonAggregatedNodes) const
Local aggregation.
LocalOrdinal LO
KOKKOS_INLINE_FUNCTION size_type GetNodeNumVertices() const
Return number of graph vertices.
const RCP< LOMultiVector > & GetVertex2AggId() const
Returns constant vector that maps local node IDs to local aggregates IDs.
Timer to be used in non-factories.
const RCP< const Teuchos::Comm< int > > GetComm() const
void SetNumAggregates(LO nAggregates)
Set number of local aggregates on current processor.