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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
63namespace 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
KOKKOS_INLINE_FUNCTION constexpr std::enable_if< std::is_integral< iType >::value, size_t >::type extent(const iType &r) const noexcept
Namespace for MueLu classes and methods.