Tpetra_BlockMultiVector_def.hpp

// @HEADER
// *****************************************************************************
//          Tpetra: Templated Linear Algebra Services Package
//
// Copyright 2008 NTESS and the Tpetra contributors.
// SPDX-License-Identifier: BSD-3-Clause
// *****************************************************************************
// @HEADER
 
#ifndef TPETRA_BLOCKMULTIVECTOR_DEF_HPP
#define TPETRA_BLOCKMULTIVECTOR_DEF_HPP
 
#include "Tpetra_BlockMultiVector_decl.hpp"
#include "Tpetra_Details_Behavior.hpp"
#include "Tpetra_BlockView.hpp"
#include "Teuchos_OrdinalTraits.hpp"
 
namespace Tpetra {
 
template <class Scalar, class LO, class GO, class Node>
const typename BlockMultiVector<Scalar, LO, GO, Node>::mv_type&
BlockMultiVector<Scalar, LO, GO, Node>::
    getMultiVectorView() const {
  return mv_;
}
 
template <class Scalar, class LO, class GO, class Node>
typename BlockMultiVector<Scalar, LO, GO, Node>::mv_type&
BlockMultiVector<Scalar, LO, GO, Node>::
    getMultiVectorView() {
  return mv_;
}
 
template <class Scalar, class LO, class GO, class Node>
Teuchos::RCP<const BlockMultiVector<Scalar, LO, GO, Node> >
BlockMultiVector<Scalar, LO, GO, Node>::
    getBlockMultiVectorFromSrcDistObject(const Tpetra::SrcDistObject& src) {
  typedef BlockMultiVector<Scalar, LO, GO, Node> BMV;
  const BMV* src_bmv = dynamic_cast<const BMV*>(&src);
  TEUCHOS_TEST_FOR_EXCEPTION(
      src_bmv == nullptr, std::invalid_argument,
      "Tpetra::"
      "BlockMultiVector: The source object of an Import or Export to a "
      "BlockMultiVector, must also be a BlockMultiVector.");
  return Teuchos::rcp(src_bmv, false);  // nonowning RCP
}
 
template <class Scalar, class LO, class GO, class Node>
BlockMultiVector<Scalar, LO, GO, Node>::
    BlockMultiVector(const BlockMultiVector<Scalar, LO, GO, Node>& in,
                     const Teuchos::DataAccess copyOrView)
  : dist_object_type(in)
  , meshMap_(in.meshMap_)
  , pointMap_(in.pointMap_)
  , mv_(in.mv_, copyOrView)
  , blockSize_(in.blockSize_) {}
 
template <class Scalar, class LO, class GO, class Node>
BlockMultiVector<Scalar, LO, GO, Node>::
    BlockMultiVector(const map_type& meshMap,
                     const LO blockSize,
                     const LO numVecs)
  : dist_object_type(Teuchos::rcp(new map_type(meshMap)))
  ,  // shallow copy
  meshMap_(meshMap)
  , pointMap_(makePointMapRCP(meshMap, blockSize))
  , mv_(pointMap_, numVecs)
  ,  // nonowning RCP is OK, since pointMap_ won't go away
  blockSize_(blockSize) {}
 
template <class Scalar, class LO, class GO, class Node>
BlockMultiVector<Scalar, LO, GO, Node>::
    BlockMultiVector(const map_type& meshMap,
                     const map_type& pointMap,
                     const LO blockSize,
                     const LO numVecs)
  : dist_object_type(Teuchos::rcp(new map_type(meshMap)))
  ,  // shallow copy
  meshMap_(meshMap)
  , pointMap_(new map_type(pointMap))
  , mv_(pointMap_, numVecs)
  , blockSize_(blockSize) {}
 
template <class Scalar, class LO, class GO, class Node>
BlockMultiVector<Scalar, LO, GO, Node>::
    BlockMultiVector(const mv_type& X_mv,
                     const map_type& meshMap,
                     const LO blockSize)
  : dist_object_type(Teuchos::rcp(new map_type(meshMap)))
  ,  // shallow copy
  meshMap_(meshMap)
  , blockSize_(blockSize) {
  using Teuchos::RCP;
 
  if (X_mv.getCopyOrView() == Teuchos::View) {
    // The input MultiVector has view semantics, so assignment just
    // does a shallow copy.
    mv_ = X_mv;
  } else if (X_mv.getCopyOrView() == Teuchos::Copy) {
    // The input MultiVector has copy semantics.  We can't change
    // that, but we can make a view of the input MultiVector and
    // change the view to have view semantics.  (That sounds silly;
    // shouldn't views always have view semantics? but remember that
    // "view semantics" just governs the default behavior of the copy
    // constructor and assignment operator.)
    RCP<const mv_type> X_view_const;
    const size_t numCols = X_mv.getNumVectors();
    if (numCols == 0) {
      Teuchos::Array<size_t> cols(0);  // view will have zero columns
      X_view_const = X_mv.subView(cols());
    } else {  // Range1D is an inclusive range
      X_view_const = X_mv.subView(Teuchos::Range1D(0, numCols - 1));
    }
    TEUCHOS_TEST_FOR_EXCEPTION(
        X_view_const.is_null(), std::logic_error,
        "Tpetra::"
        "BlockMultiVector constructor: X_mv.subView(...) returned null.  This "
        "should never happen.  Please report this bug to the Tpetra developers.");
 
    // It's perfectly OK to cast away const here.  Those view methods
    // should be marked const anyway, because views can't change the
    // allocation (just the entries themselves).
    RCP<mv_type> X_view = Teuchos::rcp_const_cast<mv_type>(X_view_const);
    TEUCHOS_TEST_FOR_EXCEPTION(
        X_view->getCopyOrView() != Teuchos::View, std::logic_error,
        "Tpetra::"
        "BlockMultiVector constructor: We just set a MultiVector "
        "to have view semantics, but it claims that it doesn't have view "
        "semantics.  This should never happen.  "
        "Please report this bug to the Tpetra developers.");
    mv_ = *X_view;  // MultiVector::operator= does a shallow copy here
  }
 
  // At this point, mv_ has been assigned, so we can ignore X_mv.
  Teuchos::RCP<const map_type> pointMap = mv_.getMap();
  pointMap_                             = pointMap;
}
 
template <class Scalar, class LO, class GO, class Node>
BlockMultiVector<Scalar, LO, GO, Node>::
    BlockMultiVector(const BlockMultiVector<Scalar, LO, GO, Node>& X,
                     const map_type& newMeshMap,
                     const map_type& newPointMap,
                     const size_t offset)
  : dist_object_type(Teuchos::rcp(new map_type(newMeshMap)))
  ,  // shallow copy
  meshMap_(newMeshMap)
  , pointMap_(new map_type(newPointMap))
  , mv_(X.mv_, newPointMap, offset * X.getBlockSize())
  ,  // MV "offset view" constructor
  blockSize_(X.getBlockSize()) {}
 
template <class Scalar, class LO, class GO, class Node>
BlockMultiVector<Scalar, LO, GO, Node>::
    BlockMultiVector(const BlockMultiVector<Scalar, LO, GO, Node>& X,
                     const map_type& newMeshMap,
                     const size_t offset)
  : dist_object_type(Teuchos::rcp(new map_type(newMeshMap)))
  ,  // shallow copy
  meshMap_(newMeshMap)
  , pointMap_(makePointMapRCP(newMeshMap, X.getBlockSize()))
  , mv_(X.mv_, pointMap_, offset * X.getBlockSize())
  ,  // MV "offset view" constructor
  blockSize_(X.getBlockSize()) {}
 
template <class Scalar, class LO, class GO, class Node>
BlockMultiVector<Scalar, LO, GO, Node>::
    BlockMultiVector()
  : dist_object_type(Teuchos::null)
  , blockSize_(0) {}
 
template <class Scalar, class LO, class GO, class Node>
typename BlockMultiVector<Scalar, LO, GO, Node>::map_type
BlockMultiVector<Scalar, LO, GO, Node>::
    makePointMap(const map_type& meshMap, const LO blockSize) {
  typedef Tpetra::global_size_t GST;
  typedef typename Teuchos::ArrayView<const GO>::size_type size_type;
 
  const GST gblNumMeshMapInds =
      static_cast<GST>(meshMap.getGlobalNumElements());
  const size_t lclNumMeshMapIndices =
      static_cast<size_t>(meshMap.getLocalNumElements());
  const GST gblNumPointMapInds =
      gblNumMeshMapInds * static_cast<GST>(blockSize);
  const size_t lclNumPointMapInds =
      lclNumMeshMapIndices * static_cast<size_t>(blockSize);
  const GO indexBase = meshMap.getIndexBase();
 
  if (meshMap.isContiguous()) {
    return map_type(gblNumPointMapInds, lclNumPointMapInds, indexBase,
                    meshMap.getComm());
  } else {
    // "Hilbert's Hotel" trick: multiply each process' GIDs by
    // blockSize, and fill in.  That ensures correctness even if the
    // mesh Map is overlapping.
    Teuchos::ArrayView<const GO> lclMeshGblInds = meshMap.getLocalElementList();
    const size_type lclNumMeshGblInds           = lclMeshGblInds.size();
    Teuchos::Array<GO> lclPointGblInds(lclNumPointMapInds);
    for (size_type g = 0; g < lclNumMeshGblInds; ++g) {
      const GO meshGid       = lclMeshGblInds[g];
      const GO pointGidStart = indexBase +
                               (meshGid - indexBase) * static_cast<GO>(blockSize);
      const size_type offset = g * static_cast<size_type>(blockSize);
      for (LO k = 0; k < blockSize; ++k) {
        const GO pointGid                                   = pointGidStart + static_cast<GO>(k);
        lclPointGblInds[offset + static_cast<size_type>(k)] = pointGid;
      }
    }
    return map_type(gblNumPointMapInds, lclPointGblInds(), indexBase,
                    meshMap.getComm());
  }
}
 
template <class Scalar, class LO, class GO, class Node>
Teuchos::RCP<const typename BlockMultiVector<Scalar, LO, GO, Node>::map_type>
BlockMultiVector<Scalar, LO, GO, Node>::
    makePointMapRCP(const map_type& meshMap, const LO blockSize) {
  typedef Tpetra::global_size_t GST;
  typedef typename Teuchos::ArrayView<const GO>::size_type size_type;
 
  const GST gblNumMeshMapInds =
      static_cast<GST>(meshMap.getGlobalNumElements());
  const size_t lclNumMeshMapIndices =
      static_cast<size_t>(meshMap.getLocalNumElements());
  const GST gblNumPointMapInds =
      gblNumMeshMapInds * static_cast<GST>(blockSize);
  const size_t lclNumPointMapInds =
      lclNumMeshMapIndices * static_cast<size_t>(blockSize);
  const GO indexBase = meshMap.getIndexBase();
 
  if (meshMap.isContiguous()) {
    return Teuchos::rcp(new map_type(gblNumPointMapInds, lclNumPointMapInds, indexBase,
                                     meshMap.getComm()));
  } else {
    // "Hilbert's Hotel" trick: multiply each process' GIDs by
    // blockSize, and fill in.  That ensures correctness even if the
    // mesh Map is overlapping.
    Teuchos::ArrayView<const GO> lclMeshGblInds = meshMap.getLocalElementList();
    const size_type lclNumMeshGblInds           = lclMeshGblInds.size();
    Teuchos::Array<GO> lclPointGblInds(lclNumPointMapInds);
    for (size_type g = 0; g < lclNumMeshGblInds; ++g) {
      const GO meshGid       = lclMeshGblInds[g];
      const GO pointGidStart = indexBase +
                               (meshGid - indexBase) * static_cast<GO>(blockSize);
      const size_type offset = g * static_cast<size_type>(blockSize);
      for (LO k = 0; k < blockSize; ++k) {
        const GO pointGid                                   = pointGidStart + static_cast<GO>(k);
        lclPointGblInds[offset + static_cast<size_type>(k)] = pointGid;
      }
    }
    return Teuchos::rcp(new map_type(gblNumPointMapInds, lclPointGblInds(), indexBase,
                                     meshMap.getComm()));
  }
}
 
template <class Scalar, class LO, class GO, class Node>
void BlockMultiVector<Scalar, LO, GO, Node>::
    replaceLocalValuesImpl(const LO localRowIndex,
                           const LO colIndex,
                           const Scalar vals[]) {
  auto X_dst = getLocalBlockHost(localRowIndex, colIndex, Access::ReadWrite);
  typename const_little_vec_type::host_mirror_type::const_type X_src(reinterpret_cast<const impl_scalar_type*>(vals),
                                                                     getBlockSize());
  // DEEP_COPY REVIEW - HOSTMIRROR-TO-DEVICE
  using exec_space = typename device_type::execution_space;
  Kokkos::deep_copy(exec_space(), X_dst, X_src);
}
 
template <class Scalar, class LO, class GO, class Node>
bool BlockMultiVector<Scalar, LO, GO, Node>::
    replaceLocalValues(const LO localRowIndex,
                       const LO colIndex,
                       const Scalar vals[]) {
  if (!meshMap_.isNodeLocalElement(localRowIndex)) {
    return false;
  } else {
    replaceLocalValuesImpl(localRowIndex, colIndex, vals);
    return true;
  }
}
 
template <class Scalar, class LO, class GO, class Node>
bool BlockMultiVector<Scalar, LO, GO, Node>::
    replaceGlobalValues(const GO globalRowIndex,
                        const LO colIndex,
                        const Scalar vals[]) {
  const LO localRowIndex = meshMap_.getLocalElement(globalRowIndex);
  if (localRowIndex == Teuchos::OrdinalTraits<LO>::invalid()) {
    return false;
  } else {
    replaceLocalValuesImpl(localRowIndex, colIndex, vals);
    return true;
  }
}
 
template <class Scalar, class LO, class GO, class Node>
void BlockMultiVector<Scalar, LO, GO, Node>::
    sumIntoLocalValuesImpl(const LO localRowIndex,
                           const LO colIndex,
                           const Scalar vals[]) {
  auto X_dst = getLocalBlockHost(localRowIndex, colIndex, Access::ReadWrite);
  typename const_little_vec_type::host_mirror_type::const_type X_src(reinterpret_cast<const impl_scalar_type*>(vals),
                                                                     getBlockSize());
  AXPY(static_cast<impl_scalar_type>(STS::one()), X_src, X_dst);
}
 
template <class Scalar, class LO, class GO, class Node>
bool BlockMultiVector<Scalar, LO, GO, Node>::
    sumIntoLocalValues(const LO localRowIndex,
                       const LO colIndex,
                       const Scalar vals[]) {
  if (!meshMap_.isNodeLocalElement(localRowIndex)) {
    return false;
  } else {
    sumIntoLocalValuesImpl(localRowIndex, colIndex, vals);
    return true;
  }
}
 
template <class Scalar, class LO, class GO, class Node>
bool BlockMultiVector<Scalar, LO, GO, Node>::
    sumIntoGlobalValues(const GO globalRowIndex,
                        const LO colIndex,
                        const Scalar vals[]) {
  const LO localRowIndex = meshMap_.getLocalElement(globalRowIndex);
  if (localRowIndex == Teuchos::OrdinalTraits<LO>::invalid()) {
    return false;
  } else {
    sumIntoLocalValuesImpl(localRowIndex, colIndex, vals);
    return true;
  }
}
 
template <class Scalar, class LO, class GO, class Node>
typename BlockMultiVector<Scalar, LO, GO, Node>::const_little_host_vec_type
BlockMultiVector<Scalar, LO, GO, Node>::
    getLocalBlockHost(const LO localRowIndex,
                      const LO colIndex,
                      const Access::ReadOnlyStruct) const {
  if (!isValidLocalMeshIndex(localRowIndex)) {
    return const_little_host_vec_type();
  } else {
    const size_t blockSize = getBlockSize();
    auto hostView          = mv_.getLocalViewHost(Access::ReadOnly);
    LO startRow            = localRowIndex * blockSize;
    LO endRow              = startRow + blockSize;
    return Kokkos::subview(hostView, Kokkos::make_pair(startRow, endRow),
                           colIndex);
  }
}
 
template <class Scalar, class LO, class GO, class Node>
typename BlockMultiVector<Scalar, LO, GO, Node>::little_host_vec_type
BlockMultiVector<Scalar, LO, GO, Node>::
    getLocalBlockHost(const LO localRowIndex,
                      const LO colIndex,
                      const Access::OverwriteAllStruct) {
  if (!isValidLocalMeshIndex(localRowIndex)) {
    return little_host_vec_type();
  } else {
    const size_t blockSize = getBlockSize();
    auto hostView          = mv_.getLocalViewHost(Access::OverwriteAll);
    LO startRow            = localRowIndex * blockSize;
    LO endRow              = startRow + blockSize;
    return Kokkos::subview(hostView, Kokkos::make_pair(startRow, endRow),
                           colIndex);
  }
}
 
template <class Scalar, class LO, class GO, class Node>
typename BlockMultiVector<Scalar, LO, GO, Node>::little_host_vec_type
BlockMultiVector<Scalar, LO, GO, Node>::
    getLocalBlockHost(const LO localRowIndex,
                      const LO colIndex,
                      const Access::ReadWriteStruct) {
  if (!isValidLocalMeshIndex(localRowIndex)) {
    return little_host_vec_type();
  } else {
    const size_t blockSize = getBlockSize();
    auto hostView          = mv_.getLocalViewHost(Access::ReadWrite);
    LO startRow            = localRowIndex * blockSize;
    LO endRow              = startRow + blockSize;
    return Kokkos::subview(hostView, Kokkos::make_pair(startRow, endRow),
                           colIndex);
  }
}
 
template <class Scalar, class LO, class GO, class Node>
Teuchos::RCP<const typename BlockMultiVector<Scalar, LO, GO, Node>::mv_type>
BlockMultiVector<Scalar, LO, GO, Node>::
    getMultiVectorFromSrcDistObject(const Tpetra::SrcDistObject& src) {
  using Teuchos::rcp;
  using Teuchos::rcpFromRef;
 
  // The source object of an Import or Export must be a
  // BlockMultiVector or MultiVector (a Vector is a MultiVector).  Try
  // them in that order; one must succeed.  Note that the target of
  // the Import or Export calls checkSizes in DistObject's doTransfer.
  typedef BlockMultiVector<Scalar, LO, GO, Node> this_BMV_type;
  const this_BMV_type* srcBlkVec = dynamic_cast<const this_BMV_type*>(&src);
  if (srcBlkVec == nullptr) {
    const mv_type* srcMultiVec = dynamic_cast<const mv_type*>(&src);
    if (srcMultiVec == nullptr) {
      // FIXME (mfh 05 May 2014) Tpetra::MultiVector's operator=
      // currently does a shallow copy by default.  This is why we
      // return by RCP, rather than by value.
      return rcp(new mv_type());
    } else {                           // src is a MultiVector
      return rcp(srcMultiVec, false);  // nonowning RCP
    }
  } else {                              // src is a BlockMultiVector
    return rcpFromRef(srcBlkVec->mv_);  // nonowning RCP
  }
}
 
template <class Scalar, class LO, class GO, class Node>
bool BlockMultiVector<Scalar, LO, GO, Node>::
    checkSizes(const Tpetra::SrcDistObject& src) {
  return !getMultiVectorFromSrcDistObject(src).is_null();
}
 
template <class Scalar, class LO, class GO, class Node>
void BlockMultiVector<Scalar, LO, GO, Node>::
    copyAndPermute(const SrcDistObject& src,
                   const size_t numSameIDs,
                   const Kokkos::DualView<const local_ordinal_type*,
                                          buffer_device_type>& permuteToLIDs,
                   const Kokkos::DualView<const local_ordinal_type*,
                                          buffer_device_type>& permuteFromLIDs,
                   const CombineMode CM) {
  TEUCHOS_TEST_FOR_EXCEPTION(true, std::logic_error,
                             "Tpetra::BlockMultiVector::copyAndPermute: Do NOT use this "
                             "instead, create a point importer using makePointMap function.");
}
 
template <class Scalar, class LO, class GO, class Node>
void BlockMultiVector<Scalar, LO, GO, Node>::
    packAndPrepare(const SrcDistObject& src,
                   const Kokkos::DualView<const local_ordinal_type*,
                                          buffer_device_type>& exportLIDs,
                   Kokkos::DualView<packet_type*,
                                    buffer_device_type>& exports,
                   Kokkos::DualView<size_t*,
                                    buffer_device_type>
                       numPacketsPerLID,
                   size_t& constantNumPackets) {
  TEUCHOS_TEST_FOR_EXCEPTION(true, std::logic_error,
                             "Tpetra::BlockMultiVector::packAndPrepare: Do NOT use this; "
                             "instead, create a point importer using makePointMap function.");
}
 
template <class Scalar, class LO, class GO, class Node>
void BlockMultiVector<Scalar, LO, GO, Node>::
    unpackAndCombine(const Kokkos::DualView<const local_ordinal_type*,
                                            buffer_device_type>& importLIDs,
                     Kokkos::DualView<packet_type*,
                                      buffer_device_type>
                         imports,
                     Kokkos::DualView<size_t*,
                                      buffer_device_type>
                         numPacketsPerLID,
                     const size_t constantNumPackets,
                     const CombineMode combineMode) {
  TEUCHOS_TEST_FOR_EXCEPTION(true, std::logic_error,
                             "Tpetra::BlockMultiVector::unpackAndCombine: Do NOT use this; "
                             "instead, create a point importer using makePointMap function.");
}
 
template <class Scalar, class LO, class GO, class Node>
bool BlockMultiVector<Scalar, LO, GO, Node>::
    isValidLocalMeshIndex(const LO meshLocalIndex) const {
  return meshLocalIndex != Teuchos::OrdinalTraits<LO>::invalid() &&
         meshMap_.isNodeLocalElement(meshLocalIndex);
}
 
template <class Scalar, class LO, class GO, class Node>
void BlockMultiVector<Scalar, LO, GO, Node>::
    putScalar(const Scalar& val) {
  mv_.putScalar(val);
}
 
template <class Scalar, class LO, class GO, class Node>
void BlockMultiVector<Scalar, LO, GO, Node>::
    scale(const Scalar& val) {
  mv_.scale(val);
}
 
template <class Scalar, class LO, class GO, class Node>
void BlockMultiVector<Scalar, LO, GO, Node>::
    update(const Scalar& alpha,
           const BlockMultiVector<Scalar, LO, GO, Node>& X,
           const Scalar& beta) {
  mv_.update(alpha, X.mv_, beta);
}
 
namespace Impl {
// Y := alpha * D * X
template <typename Scalar, typename ViewY, typename ViewD, typename ViewX>
struct BlockWiseMultiply {
  typedef typename ViewD::size_type Size;
 
 private:
  typedef typename ViewD::device_type Device;
  typedef typename ViewD::non_const_value_type ImplScalar;
  typedef Kokkos::MemoryTraits<Kokkos::Unmanaged> Unmanaged;
 
  template <typename View>
  using UnmanagedView = Kokkos::View<typename View::data_type, typename View::array_layout,
                                     typename View::device_type, Unmanaged>;
  typedef UnmanagedView<ViewY> UnMViewY;
  typedef UnmanagedView<ViewD> UnMViewD;
  typedef UnmanagedView<ViewX> UnMViewX;
 
  const Size block_size_;
  Scalar alpha_;
  UnMViewY Y_;
  UnMViewD D_;
  UnMViewX X_;
 
 public:
  BlockWiseMultiply(const Size block_size, const Scalar& alpha,
                    const ViewY& Y, const ViewD& D, const ViewX& X)
    : block_size_(block_size)
    , alpha_(alpha)
    , Y_(Y)
    , D_(D)
    , X_(X) {}
 
  KOKKOS_INLINE_FUNCTION
  void operator()(const Size k) const {
    const auto zero     = KokkosKernels::ArithTraits<Scalar>::zero();
    auto D_curBlk       = Kokkos::subview(D_, k, Kokkos::ALL(), Kokkos::ALL());
    const auto num_vecs = X_.extent(1);
    for (Size i = 0; i < num_vecs; ++i) {
      Kokkos::pair<Size, Size> kslice(k * block_size_, (k + 1) * block_size_);
      auto X_curBlk = Kokkos::subview(X_, kslice, i);
      auto Y_curBlk = Kokkos::subview(Y_, kslice, i);
      // Y_curBlk := alpha * D_curBlk * X_curBlk.
      // Recall that GEMV does an update (+=) of the last argument.
      Tpetra::FILL(Y_curBlk, zero);
      Tpetra::GEMV(alpha_, D_curBlk, X_curBlk, Y_curBlk);
    }
  }
};
 
template <typename Scalar, typename ViewY, typename ViewD, typename ViewX>
inline BlockWiseMultiply<Scalar, ViewY, ViewD, ViewX>
createBlockWiseMultiply(const int block_size, const Scalar& alpha,
                        const ViewY& Y, const ViewD& D, const ViewX& X) {
  return BlockWiseMultiply<Scalar, ViewY, ViewD, ViewX>(block_size, alpha, Y, D, X);
}
 
template <typename ViewY,
          typename Scalar,
          typename ViewD,
          typename ViewZ,
          typename LO = typename ViewY::size_type>
class BlockJacobiUpdate {
 private:
  typedef typename ViewD::device_type Device;
  typedef typename ViewD::non_const_value_type ImplScalar;
  typedef Kokkos::MemoryTraits<Kokkos::Unmanaged> Unmanaged;
 
  template <typename ViewType>
  using UnmanagedView = Kokkos::View<typename ViewType::data_type,
                                     typename ViewType::array_layout,
                                     typename ViewType::device_type,
                                     Unmanaged>;
  typedef UnmanagedView<ViewY> UnMViewY;
  typedef UnmanagedView<ViewD> UnMViewD;
  typedef UnmanagedView<ViewZ> UnMViewZ;
 
  const LO blockSize_;
  UnMViewY Y_;
  const Scalar alpha_;
  UnMViewD D_;
  UnMViewZ Z_;
  const Scalar beta_;
 
 public:
  BlockJacobiUpdate(const ViewY& Y,
                    const Scalar& alpha,
                    const ViewD& D,
                    const ViewZ& Z,
                    const Scalar& beta)
    : blockSize_(D.extent(1))
    ,
    // numVecs_ (static_cast<int> (ViewY::rank) == 1 ? static_cast<size_type> (1) : static_cast<size_type> (Y_.extent (1))),
    Y_(Y)
    , alpha_(alpha)
    , D_(D)
    , Z_(Z)
    , beta_(beta) {
    static_assert(static_cast<int>(ViewY::rank) == 1,
                  "Y must have rank 1.");
    static_assert(static_cast<int>(ViewD::rank) == 3, "D must have rank 3.");
    static_assert(static_cast<int>(ViewZ::rank) == 1,
                  "Z must have rank 1.");
    // static_assert (static_cast<int> (ViewZ::rank) ==
    //                static_cast<int> (ViewY::rank),
    //                "Z must have the same rank as Y.");
  }
 
  KOKKOS_INLINE_FUNCTION void
  operator()(const LO& k) const {
    using Kokkos::ALL;
    using Kokkos::subview;
    typedef Kokkos::pair<LO, LO> range_type;
    typedef KokkosKernels::ArithTraits<Scalar> KAT;
 
    // We only have to implement the alpha != 0 case.
 
    auto D_curBlk = subview(D_, k, ALL(), ALL());
    const range_type kslice(k * blockSize_, (k + 1) * blockSize_);
 
    // Z.update (STS::one (), X, -STS::one ()); // assume this is done
 
    auto Z_curBlk = subview(Z_, kslice);
    auto Y_curBlk = subview(Y_, kslice);
    // Y_curBlk := beta * Y_curBlk + alpha * D_curBlk * Z_curBlk
    if (beta_ == KAT::zero()) {
      Tpetra::FILL(Y_curBlk, KAT::zero());
    } else if (beta_ != KAT::one()) {
      Tpetra::SCAL(beta_, Y_curBlk);
    }
    Tpetra::GEMV(alpha_, D_curBlk, Z_curBlk, Y_curBlk);
  }
};
 
template <class ViewY,
          class Scalar,
          class ViewD,
          class ViewZ,
          class LO = typename ViewD::size_type>
void blockJacobiUpdate(const ViewY& Y,
                       const Scalar& alpha,
                       const ViewD& D,
                       const ViewZ& Z,
                       const Scalar& beta) {
  static_assert(Kokkos::is_view<ViewY>::value, "Y must be a Kokkos::View.");
  static_assert(Kokkos::is_view<ViewD>::value, "D must be a Kokkos::View.");
  static_assert(Kokkos::is_view<ViewZ>::value, "Z must be a Kokkos::View.");
  static_assert(static_cast<int>(ViewY::rank) == static_cast<int>(ViewZ::rank),
                "Y and Z must have the same rank.");
  static_assert(static_cast<int>(ViewD::rank) == 3, "D must have rank 3.");
 
  const auto lclNumMeshRows = D.extent(0);
 
#ifdef HAVE_TPETRA_DEBUG
  // D.extent(0) is the (local) number of mesh rows.
  // D.extent(1) is the block size.  Thus, their product should be
  // the local number of point rows, that is, the number of rows in Y.
  const auto blkSize      = D.extent(1);
  const auto lclNumPtRows = lclNumMeshRows * blkSize;
  TEUCHOS_TEST_FOR_EXCEPTION(Y.extent(0) != lclNumPtRows, std::invalid_argument,
                             "blockJacobiUpdate: Y.extent(0) = " << Y.extent(0) << " != "
                                                                                   "D.extent(0)*D.extent(1) = "
                                                                 << lclNumMeshRows << " * " << blkSize
                                                                 << " = " << lclNumPtRows << ".");
  TEUCHOS_TEST_FOR_EXCEPTION(Y.extent(0) != Z.extent(0), std::invalid_argument,
                             "blockJacobiUpdate: Y.extent(0) = " << Y.extent(0) << " != "
                                                                                   "Z.extent(0) = "
                                                                 << Z.extent(0) << ".");
  TEUCHOS_TEST_FOR_EXCEPTION(Y.extent(1) != Z.extent(1), std::invalid_argument,
                             "blockJacobiUpdate: Y.extent(1) = " << Y.extent(1) << " != "
                                                                                   "Z.extent(1) = "
                                                                 << Z.extent(1) << ".");
#endif  // HAVE_TPETRA_DEBUG
 
  BlockJacobiUpdate<ViewY, Scalar, ViewD, ViewZ, LO> functor(Y, alpha, D, Z, beta);
  typedef Kokkos::RangePolicy<typename ViewY::execution_space, LO> range_type;
  // lclNumMeshRows must fit in LO, else the Map would not be correct.
  range_type range(0, static_cast<LO>(lclNumMeshRows));
  Kokkos::parallel_for(range, functor);
}
 
}  // namespace Impl
 
template <class Scalar, class LO, class GO, class Node>
void BlockMultiVector<Scalar, LO, GO, Node>::
    blockWiseMultiply(const Scalar& alpha,
                      const Kokkos::View<const impl_scalar_type***,
                                         device_type, Kokkos::MemoryUnmanaged>& D,
                      const BlockMultiVector<Scalar, LO, GO, Node>& X) {
  using Kokkos::ALL;
  typedef typename device_type::execution_space exec_space;
  const LO lclNumMeshRows = meshMap_.getLocalNumElements();
 
  if (alpha == STS::zero()) {
    this->putScalar(STS::zero());
  } else {  // alpha != 0
    const LO blockSize               = this->getBlockSize();
    const impl_scalar_type alphaImpl = static_cast<impl_scalar_type>(alpha);
    auto X_lcl                       = X.mv_.getLocalViewDevice(Access::ReadOnly);
    auto Y_lcl                       = this->mv_.getLocalViewDevice(Access::ReadWrite);
    auto bwm                         = Impl::createBlockWiseMultiply(blockSize, alphaImpl, Y_lcl, D, X_lcl);
 
    // Use an explicit RangePolicy with the desired execution space.
    // Otherwise, if you just use a number, it runs on the default
    // execution space.  For example, if the default execution space
    // is Cuda but the current execution space is Serial, using just a
    // number would incorrectly run with Cuda.
    Kokkos::RangePolicy<exec_space, LO> range(0, lclNumMeshRows);
    Kokkos::parallel_for(range, bwm);
  }
}
 
template <class Scalar, class LO, class GO, class Node>
void BlockMultiVector<Scalar, LO, GO, Node>::
    blockJacobiUpdate(const Scalar& alpha,
                      const Kokkos::View<const impl_scalar_type***,
                                         device_type, Kokkos::MemoryUnmanaged>& D,
                      const BlockMultiVector<Scalar, LO, GO, Node>& X,
                      BlockMultiVector<Scalar, LO, GO, Node>& Z,
                      const Scalar& beta) {
  using Kokkos::ALL;
  using Kokkos::subview;
  typedef impl_scalar_type IST;
 
  const IST alphaImpl = static_cast<IST>(alpha);
  const IST betaImpl  = static_cast<IST>(beta);
  const LO numVecs    = mv_.getNumVectors();
 
  if (alpha == STS::zero()) {  // Y := beta * Y
    this->scale(beta);
  } else {  // alpha != 0
    Z.update(STS::one(), X, -STS::one());
    for (LO j = 0; j < numVecs; ++j) {
      auto Y_lcl   = this->mv_.getLocalViewDevice(Access::ReadWrite);
      auto Z_lcl   = Z.mv_.getLocalViewDevice(Access::ReadWrite);
      auto Y_lcl_j = subview(Y_lcl, ALL(), j);
      auto Z_lcl_j = subview(Z_lcl, ALL(), j);
      Impl::blockJacobiUpdate(Y_lcl_j, alphaImpl, D, Z_lcl_j, betaImpl);
    }
  }
}
 
}  // namespace Tpetra
 
//
// Explicit instantiation macro
//
// Must be expanded from within the Tpetra namespace!
//
#define TPETRA_BLOCKMULTIVECTOR_INSTANT(S, LO, GO, NODE) \
  template class BlockMultiVector<S, LO, GO, NODE>;
 
#endif  // TPETRA_BLOCKMULTIVECTOR_DEF_HPP