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MueLu_StructuredAggregationFactory_kokkos_def.hpp
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46#ifndef MUELU_STRUCTUREDAGGREGATIONFACTORY_KOKKOS_DEF_HPP
47#define MUELU_STRUCTUREDAGGREGATIONFACTORY_KOKKOS_DEF_HPP
48
49#ifdef HAVE_MUELU_KOKKOS_REFACTOR
50
51// Xpetra includes
52#include <Xpetra_Map.hpp>
53#include <Xpetra_CrsGraph.hpp>
54
55// MueLu generic includes
56#include "MueLu_Level.hpp"
57#include "MueLu_MasterList.hpp"
58#include "MueLu_Monitor.hpp"
59#include "MueLu_Utilities.hpp"
60
61// MueLu specific includes (kokkos version)
62#include "MueLu_LWGraph_kokkos.hpp"
63#include "MueLu_Aggregates_kokkos.hpp"
64#include "MueLu_IndexManager_kokkos.hpp"
65#include "MueLu_AggregationStructuredAlgorithm_kokkos.hpp"
66
68
69namespace MueLu {
70
71 template <class LocalOrdinal, class GlobalOrdinal, class Node>
72 StructuredAggregationFactory_kokkos<LocalOrdinal, GlobalOrdinal, Node>::
73 StructuredAggregationFactory_kokkos() : bDefinitionPhase_(true) { }
74
75 template <class LocalOrdinal, class GlobalOrdinal, class Node>
76 RCP<const ParameterList> StructuredAggregationFactory_kokkos<LocalOrdinal, GlobalOrdinal, Node>::
77 GetValidParameterList() const {
78 RCP<ParameterList> validParamList = rcp(new ParameterList());
79
80#define SET_VALID_ENTRY(name) validParamList->setEntry(name, MasterList::getEntry(name))
81 SET_VALID_ENTRY("aggregation: preserve Dirichlet points");
82 SET_VALID_ENTRY("aggregation: allow user-specified singletons");
83 SET_VALID_ENTRY("aggregation: error on nodes with no on-rank neighbors");
84 SET_VALID_ENTRY("aggregation: phase3 avoid singletons");
85#undef SET_VALID_ENTRY
86
87 // general variables needed in StructuredAggregationFactory
88 validParamList->set<std::string> ("aggregation: output type", "Aggregates",
89 "Type of object holding the aggregation data: Aggregtes or CrsGraph");
90 validParamList->set<std::string> ("aggregation: coarsening rate", "{3}",
91 "Coarsening rate per spatial dimensions");
92 validParamList->set<int> ("aggregation: coarsening order", 0,
93 "The interpolation order used to construct grid transfer operators based off these aggregates.");
94 validParamList->set<RCP<const FactoryBase> >("Graph", Teuchos::null,
95 "Graph of the matrix after amalgamation but without dropping.");
96 validParamList->set<RCP<const FactoryBase> >("DofsPerNode", Teuchos::null,
97 "Number of degrees of freedom per mesh node, provided by the coalsce drop factory.");
98 validParamList->set<RCP<const FactoryBase> >("numDimensions", Teuchos::null,
99 "Number of spatial dimension provided by CoordinatesTransferFactory.");
100 validParamList->set<RCP<const FactoryBase> >("lNodesPerDim", Teuchos::null,
101 "Number of nodes per spatial dimmension provided by CoordinatesTransferFactory.");
102
103 return validParamList;
104 } // GetValidParameterList()
105
106 template <class LocalOrdinal, class GlobalOrdinal, class Node>
107 void StructuredAggregationFactory_kokkos<LocalOrdinal, GlobalOrdinal, Node>::
108 DeclareInput(Level& currentLevel) const {
109 Input(currentLevel, "Graph");
110 Input(currentLevel, "DofsPerNode");
111
112 // Request the local number of nodes per dimensions
113 if(currentLevel.GetLevelID() == 0) {
114 if(currentLevel.IsAvailable("numDimensions", NoFactory::get())) {
115 currentLevel.DeclareInput("numDimensions", NoFactory::get(), this);
116 } else {
117 TEUCHOS_TEST_FOR_EXCEPTION(currentLevel.IsAvailable("numDimensions", NoFactory::get()),
118 Exceptions::RuntimeError,
119 "numDimensions was not provided by the user on level0!");
120 }
121 if(currentLevel.IsAvailable("lNodesPerDim", NoFactory::get())) {
122 currentLevel.DeclareInput("lNodesPerDim", NoFactory::get(), this);
123 } else {
124 TEUCHOS_TEST_FOR_EXCEPTION(currentLevel.IsAvailable("lNodesPerDim", NoFactory::get()),
125 Exceptions::RuntimeError,
126 "lNodesPerDim was not provided by the user on level0!");
127 }
128 } else {
129 Input(currentLevel, "lNodesPerDim");
130 Input(currentLevel, "numDimensions");
131 }
132 } // DeclareInput()
133
134 template <class LocalOrdinal, class GlobalOrdinal, class Node>
135 void StructuredAggregationFactory_kokkos<LocalOrdinal, GlobalOrdinal, Node>::
136 Build(Level &currentLevel) const {
137 FactoryMonitor m(*this, "Build", currentLevel);
138
139 RCP<Teuchos::FancyOStream> out;
140 if(const char* dbg = std::getenv("MUELU_STRUCTUREDAGGREGATION_DEBUG")) {
141 out = Teuchos::fancyOStream(Teuchos::rcpFromRef(std::cout));
142 out->setShowAllFrontMatter(false).setShowProcRank(true);
143 } else {
144 out = Teuchos::getFancyOStream(rcp(new Teuchos::oblackholestream()));
145 }
146
147 using device_type = typename LWGraph_kokkos::local_graph_type::device_type;
148 using execution_space = typename LWGraph_kokkos::local_graph_type::device_type::execution_space;
149 using memory_space = typename LWGraph_kokkos::local_graph_type::device_type::memory_space;
150
151 *out << "Entering structured aggregation" << std::endl;
152
153 ParameterList pL = GetParameterList();
154 bDefinitionPhase_ = false; // definition phase is finished, now all aggregation algorithm information is fixed
155
156 // General problem informations are gathered from data stored in the problem matix.
157 RCP<const LWGraph_kokkos> graph = Get<RCP<LWGraph_kokkos> >(currentLevel, "Graph");
158 RCP<const Map> fineMap = graph->GetDomainMap();
159 const int myRank = fineMap->getComm()->getRank();
160 const LO dofsPerNode = Get<LO>(currentLevel, "DofsPerNode");
161
162 // Since we want to operate on nodes and not dof, we need to modify the rowMap in order to
163 // obtain a nodeMap.
164 const int interpolationOrder = pL.get<int>("aggregation: coarsening order");
165 std::string outputType = pL.get<std::string>("aggregation: output type");
166 const bool outputAggregates = (outputType == "Aggregates" ? true : false);
167 Array<LO> lFineNodesPerDir(3);
168 int numDimensions;
169 if(currentLevel.GetLevelID() == 0) {
170 // On level 0, data is provided by applications and has no associated factory.
171 lFineNodesPerDir = currentLevel.Get<Array<LO> >("lNodesPerDim", NoFactory::get());
172 numDimensions = currentLevel.Get<int>("numDimensions", NoFactory::get());
173 } else {
174 // On level > 0, data is provided directly by generating factories.
175 lFineNodesPerDir = Get<Array<LO> >(currentLevel, "lNodesPerDim");
176 numDimensions = Get<int>(currentLevel, "numDimensions");
177 }
178
179
180 // First make sure that input parameters are set logically based on dimension
181 for(int dim = 0; dim < 3; ++dim) {
182 if(dim >= numDimensions) {
183 lFineNodesPerDir[dim] = 1;
184 }
185 }
186
187 // Get the coarsening rate
188 std::string coarseningRate = pL.get<std::string>("aggregation: coarsening rate");
189 Teuchos::Array<LO> coarseRate;
190 try {
191 coarseRate = Teuchos::fromStringToArray<LO>(coarseningRate);
192 } catch(const Teuchos::InvalidArrayStringRepresentation& e) {
193 GetOStream(Errors,-1) << " *** \"aggregation: coarsening rate\" must be a string convertible into an array! *** "
194 << std::endl;
195 throw e;
196 }
197 TEUCHOS_TEST_FOR_EXCEPTION((coarseRate.size() > 1) && (coarseRate.size() < numDimensions),
198 Exceptions::RuntimeError,
199 "\"aggregation: coarsening rate\" must have at least as many"
200 " components as the number of spatial dimensions in the problem.");
201
202 // Now that we have extracted info from the level, create the IndexManager
203 RCP<IndexManager_kokkos> geoData = rcp(new IndexManager_kokkos(numDimensions,
204 interpolationOrder, myRank,
205 lFineNodesPerDir,
206 coarseRate));
207
208 *out << "The index manager has now been built" << std::endl;
209 TEUCHOS_TEST_FOR_EXCEPTION(fineMap->getNodeNumElements()
210 != static_cast<size_t>(geoData->getNumLocalFineNodes()),
211 Exceptions::RuntimeError,
212 "The local number of elements in the graph's map is not equal to "
213 "the number of nodes given by: lNodesPerDim!");
214
215 // Now we are ready for the big loop over the fine node that will assign each
216 // node on the fine grid to an aggregate and a processor.
217 RCP<AggregationStructuredAlgorithm_kokkos> myStructuredAlgorithm
218 = rcp(new AggregationStructuredAlgorithm_kokkos());
219
220 if(interpolationOrder == 0 && outputAggregates){
221 RCP<Aggregates_kokkos> aggregates = rcp(new Aggregates_kokkos(graph->GetDomainMap()));
222 aggregates->setObjectLabel("ST");
223 aggregates->SetIndexManager(geoData);
224 aggregates->AggregatesCrossProcessors(false);
225 aggregates->SetNumAggregates(geoData->getNumCoarseNodes());
226
227 LO numNonAggregatedNodes = geoData->getNumLocalFineNodes();
228 Kokkos::View<unsigned*, device_type> aggStat("aggStat", numNonAggregatedNodes);
229 Kokkos::parallel_for("StructuredAggregation: initialize aggStat",
230 Kokkos::RangePolicy<execution_space>(0, numNonAggregatedNodes),
231 KOKKOS_LAMBDA(const LO nodeIdx) {aggStat(nodeIdx) = READY;});
232
233 myStructuredAlgorithm->BuildAggregates(pL, *graph, *aggregates, aggStat,
234 numNonAggregatedNodes);
235
236 *out << "numNonAggregatedNodes: " << numNonAggregatedNodes << std::endl;
237
238 TEUCHOS_TEST_FOR_EXCEPTION(numNonAggregatedNodes, Exceptions::RuntimeError,
239 "MueLu::StructuredAggregationFactory::Build: Leftover nodes found! Error!");
240 aggregates->ComputeAggregateSizes(true/*forceRecompute*/);
241 GetOStream(Statistics1) << aggregates->description() << std::endl;
242 Set(currentLevel, "Aggregates", aggregates);
243
244 } else {
245 // Create Coarse Data
246 RCP<CrsGraph> myGraph;
247 myStructuredAlgorithm->BuildGraph(*graph, geoData, dofsPerNode, myGraph);
248 Set(currentLevel, "prolongatorGraph", myGraph);
249 }
250
251 Set(currentLevel, "lCoarseNodesPerDim", geoData->getCoarseNodesPerDirArray());
252 Set(currentLevel, "indexManager", geoData);
253 Set(currentLevel, "structuredInterpolationOrder", interpolationOrder);
254 Set(currentLevel, "numDimensions", numDimensions);
255
256 } // Build()
257
258} //namespace MueLu
259
260#endif // HAVE_MUELU_KOKKOS_REFACTOR
261#endif /* MUELU_STRUCTUREDAGGREGATIONFACTORY_KOKKOS_DEF_HPP */
#define SET_VALID_ENTRY(name)
Namespace for MueLu classes and methods.
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