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  • #ifndef MATRIXCOMMUNICATOR_HH
    #define MATRIXCOMMUNICATOR_HH
    
    #include <vector>
    
    #include <dune/istl/matrixindexset.hh>
    
    
    #include <dune/gfe/parallel/globalindex.hh>
    
    #include <dune/gfe/parallel/mpifunctions.hh>
    
    
    
    template<typename GUIndex, typename MatrixType, typename ColGUIndex=GUIndex>
    
      struct TransferMatrixTuple {
        typedef typename MatrixType::block_type EntryType;
    
        size_t row, col;
        EntryType entry;
    
        TransferMatrixTuple() {}
        TransferMatrixTuple(const size_t& r, const size_t& c, const EntryType& e) : row(r), col(c), entry(e) {}
      };
    
      void transferMatrix(const MatrixType& localMatrix) {
        // Create vector for transfer data
        std::vector<TransferMatrixTuple> localMatrixEntries;
    
        // Convert local matrix to serializable array
        typedef typename MatrixType::row_type::ConstIterator ColumnIterator;
    
        for (typename MatrixType::ConstIterator rIt = localMatrix.begin(); rIt != localMatrix.end(); ++rIt)
          for (ColumnIterator cIt = rIt->begin(); cIt != rIt->end(); ++cIt) {
            const int i = rIt.index();
            const int j = cIt.index();
    
    
            localMatrixEntries.push_back(TransferMatrixTuple(guIndex1_.globalIndex(i), guIndex2_.globalIndex(j), *cIt));
    
          }
    
        // Get number of matrix entries on each process
    
        std::vector<int> localMatrixEntriesSizes(MPIFunctions::shareSizes(guIndex1_.getGridView(), localMatrixEntries.size()));
    
    
        // Get matrix entries from every process
    
        globalMatrixEntries = MPIFunctions::gatherv(guIndex1_.getGridView(), localMatrixEntries, localMatrixEntriesSizes, root_rank);
    
    public:
      MatrixCommunicator(const GUIndex& rowIndex, const int& root)
      : guIndex1_(rowIndex),
        guIndex2_(rowIndex),
        root_rank(root)
      {}
    
    
      MatrixCommunicator(const GUIndex& rowIndex, const ColGUIndex& colIndex, const int& root)
    
      : guIndex1_(rowIndex),
        guIndex2_(colIndex),
        root_rank(root)
      {}
    
      MatrixType reduceAdd(const MatrixType& local)
      {
        transferMatrix(local);
    
    
        MatrixType globalMatrix;
    
        // Create occupation pattern in matrix
        Dune::MatrixIndexSet occupationPattern;
    
    
        occupationPattern.resize(guIndex1_.nGlobalEntity(), guIndex2_.nGlobalEntity());
    
    
        for (size_t k = 0; k < globalMatrixEntries.size(); ++k)
          occupationPattern.add(globalMatrixEntries[k].row, globalMatrixEntries[k].col);
    
        occupationPattern.exportIdx(globalMatrix);
    
        // Initialize matrix to zero
        globalMatrix = 0;
    
        // Move entries to matrix
        for(size_t k = 0; k < globalMatrixEntries.size(); ++k)
          globalMatrix[globalMatrixEntries[k].row][globalMatrixEntries[k].col] += globalMatrixEntries[k].entry;
    
        return globalMatrix;
      }
    
    
      MatrixType reduceCopy(const MatrixType& local)
      {
        transferMatrix(local);
    
    
        MatrixType globalMatrix;
    
        // Create occupation pattern in matrix
        Dune::MatrixIndexSet occupationPattern;
    
    
        occupationPattern.resize(guIndex1_.nGlobalEntity(), guIndex2_.nGlobalEntity());
    
    
        for (size_t k = 0; k < globalMatrixEntries.size(); ++k)
          occupationPattern.add(globalMatrixEntries[k].row, globalMatrixEntries[k].col);
    
        occupationPattern.exportIdx(globalMatrix);
    
        // Move entries to matrix
        for(size_t k = 0; k < globalMatrixEntries.size(); ++k)
          globalMatrix[globalMatrixEntries[k].row][globalMatrixEntries[k].col] = globalMatrixEntries[k].entry;
    
    
        return globalMatrix;
      }
    
    private:
    
      const GUIndex& guIndex1_;
    
      int root_rank;
    
      std::vector<TransferMatrixTuple> globalMatrixEntries;
    };
    
    #endif