mg_level_global_transfer.cc

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// ------------------------------------------------------------------------
//
// SPDX-License-Identifier: LGPL-2.1-or-later
// Copyright (C) 2016 - 2023 by the deal.II authors
//
// This file is part of the deal.II library.
//
// Part of the source code is dual licensed under Apache-2.0 WITH
// LLVM-exception OR LGPL-2.1-or-later. Detailed license information
// governing the source code and code contributions can be found in
// LICENSE.md and CONTRIBUTING.md at the top level directory of deal.II.
//
// ------------------------------------------------------------------------
 
 
#include <deal.II/base/function.h>
#include <deal.II/base/logstream.h>
 
#include <deal.II/dofs/dof_accessor.h>
 
#include <deal.II/fe/fe.h>
 
#include <deal.II/grid/tria.h>
#include <deal.II/grid/tria_iterator.h>
 
#include <deal.II/lac/block_vector.h>
#include <deal.II/lac/la_parallel_block_vector.h>
#include <deal.II/lac/la_parallel_vector.h>
#include <deal.II/lac/trilinos_epetra_vector.h>
#include <deal.II/lac/trilinos_parallel_block_vector.h>
#include <deal.II/lac/trilinos_vector.h>
#include <deal.II/lac/vector.h>
 
#include <deal.II/multigrid/mg_tools.h>
#include <deal.II/multigrid/mg_transfer.h>
#include <deal.II/multigrid/mg_transfer.templates.h>
#include <deal.II/multigrid/mg_transfer_internal.h>
 
#include <algorithm>
 
DEAL_II_NAMESPACE_OPEN
 
 
/* ------------------ MGLevelGlobalTransfer<VectorType> ----------------- */
 
 
template <typename VectorType>
template <int dim, int spacedim>
void
MGLevelGlobalTransfer<VectorType>::fill_and_communicate_copy_indices(
  const DoFHandler<dim, spacedim> &mg_dof)
{
  internal::MGTransfer::fill_copy_indices(mg_dof,
                                          mg_constrained_dofs,
                                          copy_indices,
                                          copy_indices_global_mine,
                                          copy_indices_level_mine);
 
  // check if we can run a plain copy operation between the global DoFs and
  // the finest level.
  bool my_perform_plain_copy =
    (copy_indices.back().size() == mg_dof.locally_owned_dofs().n_elements()) &&
    (mg_dof.locally_owned_dofs().n_elements() ==
     mg_dof
       .locally_owned_mg_dofs(mg_dof.get_triangulation().n_global_levels() - 1)
       .n_elements());
  if (my_perform_plain_copy)
    {
      AssertDimension(copy_indices_global_mine.back().size(), 0);
      AssertDimension(copy_indices_level_mine.back().size(), 0);
 
      // check whether there is a renumbering of degrees of freedom on
      // either the finest level or the global dofs, which means that we
      // cannot apply a plain copy
      for (const auto &copy_index : copy_indices.back())
        if (copy_index.first != copy_index.second)
          {
            my_perform_plain_copy = false;
            break;
          }
    }
 
  // now do a global reduction over all processors to see what operation
  // they can agree upon
  if (const parallel::TriangulationBase<dim, spacedim> *ptria =
        dynamic_cast<const parallel::TriangulationBase<dim, spacedim> *>(
          &mg_dof.get_triangulation()))
    perform_plain_copy =
      (Utilities::MPI::min(my_perform_plain_copy ? 1 : 0,
                           ptria->get_mpi_communicator()) == 1);
  else
    perform_plain_copy = my_perform_plain_copy;
}
 
 
 
template <typename VectorType>
void
MGLevelGlobalTransfer<VectorType>::clear()
{
  sizes.resize(0);
  copy_indices.clear();
  copy_indices_global_mine.clear();
  copy_indices_level_mine.clear();
  component_to_block_map.resize(0);
  mg_constrained_dofs = nullptr;
  perform_plain_copy  = false;
}
 
 
 
template <typename VectorType>
void
MGLevelGlobalTransfer<VectorType>::print_indices(std::ostream &os) const
{
  for (unsigned int level = 0; level < copy_indices.size(); ++level)
    {
      for (unsigned int i = 0; i < copy_indices[level].size(); ++i)
        os << "copy_indices[" << level << "]\t" << copy_indices[level][i].first
           << '\t' << copy_indices[level][i].second << std::endl;
    }
 
  for (unsigned int level = 0; level < copy_indices_level_mine.size(); ++level)
    {
      for (unsigned int i = 0; i < copy_indices_level_mine[level].size(); ++i)
        os << "copy_ifrom  [" << level << "]\t"
           << copy_indices_level_mine[level][i].first << '\t'
           << copy_indices_level_mine[level][i].second << std::endl;
    }
  for (unsigned int level = 0; level < copy_indices_global_mine.size(); ++level)
    {
      for (unsigned int i = 0; i < copy_indices_global_mine[level].size(); ++i)
        os << "copy_ito    [" << level << "]\t"
           << copy_indices_global_mine[level][i].first << '\t'
           << copy_indices_global_mine[level][i].second << std::endl;
    }
}
 
 
 
template <typename VectorType>
std::size_t
MGLevelGlobalTransfer<VectorType>::memory_consumption() const
{
  std::size_t result = sizeof(*this);
  result += MemoryConsumption::memory_consumption(sizes);
  result += MemoryConsumption::memory_consumption(copy_indices);
  result += MemoryConsumption::memory_consumption(copy_indices_global_mine);
  result += MemoryConsumption::memory_consumption(copy_indices_level_mine);
 
  return result;
}
 
 
 
/* ------------------ MGLevelGlobalTransfer<VectorType> ----------------- */
 
namespace
{
  template <int dim, int spacedim, typename Number>
  void
  fill_internal(
    const DoFHandler<dim, spacedim>            &mg_dof,
    ObserverPointer<const MGConstrainedDoFs>    mg_constrained_dofs,
    const MPI_Comm                              mpi_communicator,
    const bool                                  transfer_solution_vectors,
    std::vector<Table<2, unsigned int>>        &copy_indices,
    std::vector<Table<2, unsigned int>>        &copy_indices_global_mine,
    std::vector<Table<2, unsigned int>>        &copy_indices_level_mine,
    LinearAlgebra::distributed::Vector<Number> &ghosted_global_vector,
    MGLevelObject<LinearAlgebra::distributed::Vector<Number>>
      &ghosted_level_vector)
  {
    // first go to the usual routine...
    std::vector<
      std::vector<std::pair<types::global_dof_index, types::global_dof_index>>>
      my_copy_indices;
    std::vector<
      std::vector<std::pair<types::global_dof_index, types::global_dof_index>>>
      my_copy_indices_global_mine;
    std::vector<
      std::vector<std::pair<types::global_dof_index, types::global_dof_index>>>
      my_copy_indices_level_mine;
 
    internal::MGTransfer::fill_copy_indices(mg_dof,
                                            mg_constrained_dofs,
                                            my_copy_indices,
                                            my_copy_indices_global_mine,
                                            my_copy_indices_level_mine,
                                            !transfer_solution_vectors);
 
    // get all degrees of freedom that we need read access to in copy_to_mg
    // and copy_from_mg, respectively. We fill an IndexSet once on each level
    // (for the global_mine indices accessing remote level indices) and once
    // globally (for the level_mine indices accessing remote global indices).
 
    // the variables index_set and level_index_set are going to define the
    // ghost indices of the respective vectors (due to construction, these are
    // precisely the indices that we need)
 
    IndexSet index_set(mg_dof.locally_owned_dofs().size());
    std::vector<types::global_dof_index> accessed_indices;
    ghosted_level_vector.resize(0,
                                mg_dof.get_triangulation().n_global_levels() -
                                  1);
    std::vector<IndexSet> level_index_set(
      mg_dof.get_triangulation().n_global_levels());
    for (unsigned int l = 0; l < mg_dof.get_triangulation().n_global_levels();
         ++l)
      {
        for (const auto &indices : my_copy_indices_level_mine[l])
          accessed_indices.push_back(indices.first);
        std::vector<types::global_dof_index> accessed_level_indices;
        for (const auto &indices : my_copy_indices_global_mine[l])
          accessed_level_indices.push_back(indices.second);
        std::sort(accessed_level_indices.begin(), accessed_level_indices.end());
        level_index_set[l].set_size(mg_dof.locally_owned_mg_dofs(l).size());
        level_index_set[l].add_indices(accessed_level_indices.begin(),
                                       accessed_level_indices.end());
        level_index_set[l].compress();
        ghosted_level_vector[l].reinit(mg_dof.locally_owned_mg_dofs(l),
                                       level_index_set[l],
                                       mpi_communicator);
      }
    std::sort(accessed_indices.begin(), accessed_indices.end());
    index_set.add_indices(accessed_indices.begin(), accessed_indices.end());
    index_set.compress();
    ghosted_global_vector.reinit(mg_dof.locally_owned_dofs(),
                                 index_set,
                                 mpi_communicator);
 
    // localize the copy indices for faster access. Since all access will be
    // through the ghosted vector in 'data', we can use this (much faster)
    // option
    copy_indices.resize(mg_dof.get_triangulation().n_global_levels());
    copy_indices_level_mine.resize(
      mg_dof.get_triangulation().n_global_levels());
    copy_indices_global_mine.resize(
      mg_dof.get_triangulation().n_global_levels());
    for (unsigned int level = 0;
         level < mg_dof.get_triangulation().n_global_levels();
         ++level)
      {
        const Utilities::MPI::Partitioner &global_partitioner =
          *ghosted_global_vector.get_partitioner();
        const Utilities::MPI::Partitioner &level_partitioner =
          *ghosted_level_vector[level].get_partitioner();
 
        auto translate_indices =
          [&](const std::vector<
                std::pair<types::global_dof_index, types::global_dof_index>>
                                     &global_copy_indices,
              Table<2, unsigned int> &local_copy_indices) {
            local_copy_indices.reinit(2, global_copy_indices.size());
            for (unsigned int i = 0; i < global_copy_indices.size(); ++i)
              {
                local_copy_indices(0, i) = global_partitioner.global_to_local(
                  global_copy_indices[i].first);
                local_copy_indices(1, i) = level_partitioner.global_to_local(
                  global_copy_indices[i].second);
              }
          };
 
        // owned-owned case
        translate_indices(my_copy_indices[level], copy_indices[level]);
 
        // remote-owned case
        translate_indices(my_copy_indices_level_mine[level],
                          copy_indices_level_mine[level]);
 
        // owned-remote case
        translate_indices(my_copy_indices_global_mine[level],
                          copy_indices_global_mine[level]);
      }
  }
} // namespace
 
template <typename Number>
template <int dim, int spacedim>
void
MGLevelGlobalTransfer<LinearAlgebra::distributed::Vector<Number>>::
  fill_and_communicate_copy_indices(const DoFHandler<dim, spacedim> &mg_dof)
{
  const MPI_Comm mpi_communicator = mg_dof.get_mpi_communicator();
 
  fill_internal(mg_dof,
                mg_constrained_dofs,
                mpi_communicator,
                false,
                this->copy_indices,
                this->copy_indices_global_mine,
                this->copy_indices_level_mine,
                ghosted_global_vector,
                ghosted_level_vector);
 
  // in case we have hanging nodes which imply different ownership of
  // global and level dof indices, we must also fill the solution indices
  // which contain additional indices, otherwise they can re-use the
  // indices of the standard transfer.
  int have_refinement_edge_dofs = 0;
  if (mg_constrained_dofs != nullptr)
    for (unsigned int level = 0;
         level < mg_dof.get_triangulation().n_global_levels();
         ++level)
      if (mg_constrained_dofs->get_refinement_edge_indices(level).n_elements() >
          0)
        {
          have_refinement_edge_dofs = 1;
          break;
        }
  if (Utilities::MPI::max(have_refinement_edge_dofs, mpi_communicator) == 1)
    {
      // note: variables not needed
      std::vector<Table<2, unsigned int>> solution_copy_indices_global_mine;
      MGLevelObject<LinearAlgebra::distributed::Vector<Number>>
        solution_ghosted_level_vector;
 
      fill_internal(mg_dof,
                    mg_constrained_dofs,
                    mpi_communicator,
                    true,
                    this->solution_copy_indices,
                    solution_copy_indices_global_mine,
                    this->solution_copy_indices_level_mine,
                    solution_ghosted_global_vector,
                    solution_ghosted_level_vector);
    }
  else
    {
      this->solution_copy_indices            = this->copy_indices;
      this->solution_copy_indices_level_mine = this->copy_indices_level_mine;
      solution_ghosted_global_vector         = ghosted_global_vector;
    }
 
  // Check if we can perform a cheaper "plain copy" (with or without
  // renumbering) instead of having to translate individual entries
  // using copy_indices*. This only works if a) we don't have to send
  // or receive any DoFs and we have all locally owned DoFs in our
  // copy_indices (so no adaptive refinement) and b) all processors
  // agree on the choice (see below).
  const bool my_perform_renumbered_plain_copy =
    (this->copy_indices.back().n_cols() ==
     mg_dof.locally_owned_dofs().n_elements()) &&
    (this->copy_indices_global_mine.back().n_rows() == 0) &&
    (this->copy_indices_level_mine.back().n_rows() == 0);
 
  bool my_perform_plain_copy = false;
  if (my_perform_renumbered_plain_copy)
    {
      my_perform_plain_copy = true;
      // check whether there is a renumbering of degrees of freedom on
      // either the finest level or the global dofs, which means that we
      // cannot apply a plain copy
      for (unsigned int i = 0; i < this->copy_indices.back().n_cols(); ++i)
        if (this->copy_indices.back()(0, i) != this->copy_indices.back()(1, i))
          {
            my_perform_plain_copy = false;
            break;
          }
    }
 
  // now do a global reduction over all processors to see what operation
  // they can agree upon
  perform_plain_copy =
    Utilities::MPI::min(static_cast<int>(my_perform_plain_copy),
                        mpi_communicator);
  perform_renumbered_plain_copy =
    Utilities::MPI::min(static_cast<int>(my_perform_renumbered_plain_copy),
                        mpi_communicator);
 
  // if we do a plain copy, no need to hold additional ghosted vectors
  if (perform_renumbered_plain_copy)
    {
      for (unsigned int i = 0; i < this->copy_indices.back().n_cols(); ++i)
        AssertDimension(this->copy_indices.back()(0, i), i);
 
      ghosted_global_vector.reinit(0);
      ghosted_level_vector.resize(0, 0);
      solution_ghosted_global_vector.reinit(0);
    }
}
 
 
 
template <typename Number>
void
MGLevelGlobalTransfer<LinearAlgebra::distributed::Vector<Number>>::clear()
{
  sizes.resize(0);
  copy_indices.clear();
  solution_copy_indices.clear();
  copy_indices_global_mine.clear();
  copy_indices_level_mine.clear();
  solution_copy_indices_level_mine.clear();
  component_to_block_map.resize(0);
  mg_constrained_dofs = nullptr;
  ghosted_global_vector.reinit(0);
  solution_ghosted_global_vector.reinit(0);
  ghosted_level_vector.resize(0, 0);
  perform_plain_copy            = false;
  perform_renumbered_plain_copy = false;
  initialize_dof_vector         = nullptr;
}
 
 
 
template <typename Number>
void
MGLevelGlobalTransfer<LinearAlgebra::distributed::Vector<Number>>::
  print_indices(std::ostream &os) const
{
  for (unsigned int level = 0; level < copy_indices.size(); ++level)
    {
      for (unsigned int i = 0; i < copy_indices[level].n_cols(); ++i)
        os << "copy_indices[" << level << "]\t" << copy_indices[level](0, i)
           << '\t' << copy_indices[level](1, i) << std::endl;
    }
 
  for (unsigned int level = 0; level < copy_indices_level_mine.size(); ++level)
    {
      for (unsigned int i = 0; i < copy_indices_level_mine[level].n_cols(); ++i)
        os << "copy_ifrom  [" << level << "]\t"
           << copy_indices_level_mine[level](0, i) << '\t'
           << copy_indices_level_mine[level](1, i) << std::endl;
    }
  for (unsigned int level = 0; level < copy_indices_global_mine.size(); ++level)
    {
      for (unsigned int i = 0; i < copy_indices_global_mine[level].n_cols();
           ++i)
        os << "copy_ito    [" << level << "]\t"
           << copy_indices_global_mine[level](0, i) << '\t'
           << copy_indices_global_mine[level](1, i) << std::endl;
    }
}
 
 
 
template <typename Number>
std::size_t
MGLevelGlobalTransfer<
  LinearAlgebra::distributed::Vector<Number>>::memory_consumption() const
{
  std::size_t result = sizeof(*this);
  result += MemoryConsumption::memory_consumption(sizes);
  result += MemoryConsumption::memory_consumption(copy_indices);
  result += MemoryConsumption::memory_consumption(copy_indices_global_mine);
  result += MemoryConsumption::memory_consumption(copy_indices_level_mine);
  result += ghosted_global_vector.memory_consumption();
  for (unsigned int i = ghosted_level_vector.min_level();
       i <= ghosted_level_vector.max_level();
       ++i)
    result += ghosted_level_vector[i].memory_consumption();
 
  return result;
}
 
 
 
// explicit instantiation
#include "mg_level_global_transfer.inst"
 
// create an additional instantiation currently not supported by the automatic
// template instantiation scheme
template class MGLevelGlobalTransfer<LinearAlgebra::distributed::Vector<float>>;
 
 
DEAL_II_NAMESPACE_CLOSE