MueLu_EdgeProlongatorPatternFactory_def.hpp

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// @HEADER
// *****************************************************************************
//        MueLu: A package for multigrid based preconditioning
//
// Copyright 2012 NTESS and the MueLu contributors.
// SPDX-License-Identifier: BSD-3-Clause
// *****************************************************************************
// @HEADER
 
#ifndef MUELU_EDGEPROLONGATORPATTERNFACTORY_DEF_HPP
#define MUELU_EDGEPROLONGATORPATTERNFACTORY_DEF_HPP
 
#include <Xpetra_Matrix.hpp>
#include <Xpetra_MatrixMatrix.hpp>
 
#include "MueLu_EdgeProlongatorPatternFactory_decl.hpp"
 
#include "MueLu_Monitor.hpp"
#include "Teuchos_ScalarTraits.hpp"
 
namespace MueLu {
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
RCP<const ParameterList> EdgeProlongatorPatternFactory<Scalar, LocalOrdinal, GlobalOrdinal, Node>::GetValidParameterList() const {
  RCP<ParameterList> validParamList = rcp(new ParameterList());
 
  validParamList->set<RCP<const FactoryBase> >("FineD0", Teuchos::null, "Generating factory for the fine discrete gradient");
  validParamList->set<RCP<const FactoryBase> >("CoarseD0", Teuchos::null, "Generating factory for the coarse discrete gradient");
  validParamList->set<RCP<const FactoryBase> >("PnodalEmin", Teuchos::null, "Generating factory for the nodal prolongator");
 
  return validParamList;
}
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
void EdgeProlongatorPatternFactory<Scalar, LocalOrdinal, GlobalOrdinal, Node>::DeclareInput(Level& fineLevel, Level& coarseLevel) const {
  Input(fineLevel, "D0", "FineD0");
  Input(coarseLevel, "D0", "CoarseD0");
  Input(coarseLevel, "PnodalEmin");
}
 
template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
void EdgeProlongatorPatternFactory<Scalar, LocalOrdinal, GlobalOrdinal, Node>::Build(Level& fineLevel, Level& coarseLevel) const {
  FactoryMonitor m(*this, "EdgeProlongatorPattern", coarseLevel);
 
  auto D  = Get<RCP<Matrix> >(fineLevel, "D0", "FineD0");
  auto Dc = Get<RCP<Matrix> >(coarseLevel, "D0", "CoarseD0");
  auto Pn = Get<RCP<Matrix> >(coarseLevel, "PnodalEmin");
 
  const auto one = Teuchos::ScalarTraits<Scalar>::one();
 
  // |FineD| * |Pnodal| * |CoarseD^T|
 
  RCP<Matrix> absD_absPn_absDcT;
  RCP<Matrix> absDc;
  {
    SubFactoryMonitor m2(*this, "Matrix manipulations", coarseLevel);
 
    auto absD = MatrixFactory::BuildCopy(D);
    absD->setAllToScalar(one);
 
    auto absPn = MatrixFactory::BuildCopy(Pn);
    absPn->setAllToScalar(one);
 
    RCP<Matrix> absD_absPn = MatrixMatrix::Multiply(*absD, false, *absPn, false, GetOStream(Statistics2), true, true);
    absD_absPn->setAllToScalar(one);
 
    // If we rebalanced then Dc lives on a smaller communicator than D.
    // Since we need to perform matrix-matrix multiplications with Dc, we construct a version of it that lives on the same communicator.
    auto comm = absD_absPn->getRowMap()->getComm();
    if (Dc.is_null() || Dc->getRowMap()->getComm()->getSize() < comm->getSize()) {
      auto lib = absD_absPn->getRowMap()->lib();
      if (Dc.is_null()) {
        Kokkos::View<GlobalOrdinal*, typename Node::memory_space> dummy("", 0);
        auto big_coarse_nodal_map    = MapFactory::Build(lib, -1, dummy, 0, comm);
        auto big_coarse_edge_map     = MapFactory::Build(lib, -1, dummy, 0, comm);
        auto big_coarse_nodal_colmap = MapFactory::Build(lib, -1, dummy, 0, comm);
 
        typename Matrix::local_matrix_device_type dummyLocalMatrix;
        Dc = MatrixFactory::Build(dummyLocalMatrix, big_coarse_edge_map, big_coarse_nodal_colmap, big_coarse_nodal_map, big_coarse_edge_map);
 
      } else {
        auto big_coarse_nodal_map    = MapFactory::Build(lib, -1, Dc->getDomainMap()->getMyGlobalIndicesDevice(), 0, comm);
        auto big_coarse_edge_map     = MapFactory::Build(lib, -1, Dc->getRangeMap()->getMyGlobalIndicesDevice(), 0, comm);
        auto big_coarse_nodal_colmap = MapFactory::Build(lib, -1, Dc->getColMap()->getMyGlobalIndicesDevice(), 0, comm);
 
        Dc = MatrixFactory::Build(Dc->getLocalMatrixDevice(), big_coarse_edge_map, big_coarse_nodal_colmap, big_coarse_nodal_map, big_coarse_edge_map);
      }
    }
    absDc = MatrixFactory::BuildCopy(Dc);
    absDc->setAllToScalar(one);
 
    absD_absPn_absDcT = MatrixMatrix::Multiply(*absD_absPn, false, *absDc, true, GetOStream(Statistics2), true, true);
  }
 
  RCP<Matrix> filtered;
  {
    SubFactoryMonitor m2(*this, "Filtering", coarseLevel);
    using ATS           = KokkosKernels::ArithTraits<typename Matrix::impl_scalar_type>;
    using magnitudeType = typename ATS::magnitudeType;
    using magATS        = KokkosKernels::ArithTraits<magnitudeType>;
    auto eps            = magATS::epsilon();
 
    RCP<MultiVector> oneVec = MultiVectorFactory::Build(absDc->getDomainMap(), 1);
    oneVec->putScalar(one);
    RCP<MultiVector> singleParent = MultiVectorFactory::Build(absDc->getRowMap(), 1);
    absDc->apply(*oneVec, *singleParent, Teuchos::NO_TRANS);
    // ghost singleParent
    RCP<MultiVector> singleParentGhosted;
    auto importer = absD_absPn_absDcT->getCrsGraph()->getImporter();
    if (importer.is_null()) {
      singleParentGhosted = singleParent;
    } else {
      singleParentGhosted = MultiVectorFactory::Build(importer->getTargetMap(), 1);
      singleParentGhosted->doImport(*singleParent, *importer, Xpetra::INSERT);
    }
 
    auto lclSingleParent = singleParentGhosted->getLocalViewDevice(Tpetra::Access::ReadOnly);
 
    // Filter matrix using criterion
    filtered = Xpetra::applyFilter_LID(
        absD_absPn_absDcT,
        KOKKOS_LAMBDA(const LocalOrdinal row,
                      const LocalOrdinal col,
                      const typename Matrix::impl_scalar_type val) {
          return ((ATS::magnitude(val - 2.0) < eps) || ((lclSingleParent(col, 0) == 1.0) && (ATS::magnitude(val - 1.0) < eps)));
        });
 
    if (IsPrint(Statistics1)) {
      auto numEntriesBeforeFiltering = absD_absPn_absDcT->getGlobalNumEntries();
      auto numEntriesAfterFiltering  = filtered->getGlobalNumEntries();
      GetOStream(Statistics1) << "Number of kept entries in filtered pattern for P: " << numEntriesAfterFiltering << "/" << numEntriesBeforeFiltering << std::endl;
    }
  }
 
  auto Ppattern = filtered->getCrsGraph();
 
  Set(coarseLevel, "Ppattern", Ppattern);
}
 
}  // namespace MueLu
 
#endif  // MUELU_EDGEPROLONGATORPATTERNFACTORY_DEF_HPP