Amesos2_Lapack_def.hpp

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#ifndef AMESOS2_LAPACK_DEF_HPP
#define AMESOS2_LAPACK_DEF_HPP
 
#include <Teuchos_RCP.hpp>
 
#include "Amesos2_SolverCore_def.hpp"
#include "Amesos2_Lapack_decl.hpp"
 
namespace Amesos2 {
 
 
  template <class Matrix, class Vector>
  Lapack<Matrix,Vector>::Lapack(Teuchos::RCP<const Matrix> A,
                                Teuchos::RCP<Vector>       X,
                                Teuchos::RCP<const Vector> B)
    : SolverCore<Amesos2::Lapack,Matrix,Vector>(A, X, B) // instantiate superclass
    , is_contiguous_(true)
  {
    // Set default parameters
    Teuchos::RCP<Teuchos::ParameterList> default_params
      = Teuchos::parameterList( *(this->getValidParameters()) );
    this->setParameters(default_params);
  }
 
 
  template <class Matrix, class Vector>
  Lapack<Matrix,Vector>::~Lapack( )
  {
    /*
     * Free any memory allocated by the Lapack library functions (i.e. none)
     */
  }
 
 
  template<class Matrix, class Vector>
  int
  Lapack<Matrix,Vector>::preOrdering_impl()
  {
    return(0);
  }
 
 
  template <class Matrix, class Vector>
  int
  Lapack<Matrix,Vector>::symbolicFactorization_impl()
  {
    return(0);
  }
 
 
  template <class Matrix, class Vector>
  int
  Lapack<Matrix,Vector>::numericFactorization_impl()
  {
    int factor_ierr = 0;
 
    if( this->root_ ){
      // Set here so that solver_ can refresh it's internal state
      solver_.setMatrix( Teuchos::rcpFromRef(lu_) );
 
      {
#ifdef HAVE_AMESOS2_TIMERS
        Teuchos::TimeMonitor numFactTimer( this->timers_.numFactTime_ );
#endif
        factor_ierr = solver_.factor();
      }
    }
 
    Teuchos::broadcast(*(this->getComm()), 0, &factor_ierr);
    TEUCHOS_TEST_FOR_EXCEPTION( factor_ierr != 0,
                                std::runtime_error,
                                "Lapack factor routine returned error code "
                                << factor_ierr );
    return( 0 );
  }
 
 
  template <class Matrix, class Vector>
  int
  Lapack<Matrix,Vector>::solve_impl(const Teuchos::Ptr<MultiVecAdapter<Vector> >       X,
                                    const Teuchos::Ptr<const MultiVecAdapter<Vector> > B) const
  {
    using Teuchos::as;
 
    // Convert X and B to SerialDenseMatrix's
    const global_size_type ld_rhs = this->root_ ? X->getGlobalLength() : 0;
    const size_t nrhs = X->getGlobalNumVectors();
 
    const size_t val_store_size = as<size_t>(ld_rhs * nrhs);
    if( this->root_ ){
      rhsvals_.resize(val_store_size);
    }
 
    {                             // Get values from RHS B
#ifdef HAVE_AMESOS2_TIMERS
      Teuchos::TimeMonitor mvConvTimer( this->timers_.vecConvTime_ );
      Teuchos::TimeMonitor redistTimer( this->timers_.vecRedistTime_ );
#endif
      typedef Util::get_1d_copy_helper<MultiVecAdapter<Vector>,
                                       scalar_type> copy_helper;
      if ( is_contiguous_ == true ) {
        copy_helper::do_get(B, rhsvals_(), as<size_t>(ld_rhs), ROOTED, 0);
      }
      else {
        copy_helper::do_get(B, rhsvals_(), as<size_t>(ld_rhs), CONTIGUOUS_AND_ROOTED, 0);
      }
    }
 
    int solve_ierr         = 0;
    // int unequilibrate_ierr = 0; // unused
 
    if( this->root_ ){
#ifdef HAVE_AMESOS2_TIMERS
      Teuchos::TimeMonitor solveTimer( this->timers_.solveTime_ );
#endif
 
      using Teuchos::rcpFromRef;
      typedef Teuchos::SerialDenseMatrix<int,scalar_type> DenseMat;
 
      DenseMat rhs_dense_mat(Teuchos::View, rhsvals_.getRawPtr(),
                                  as<int>(ld_rhs), as<int>(ld_rhs), as<int>(nrhs));
 
      solver_.setVectors( rcpFromRef(rhs_dense_mat),
                          rcpFromRef(rhs_dense_mat) );
 
      solve_ierr = solver_.solve();
 
      // Solution is found in rhsvals_
    }
 
    // Consolidate and check error codes
    Teuchos::broadcast(*(this->getComm()), 0, &solve_ierr);
    TEUCHOS_TEST_FOR_EXCEPTION( solve_ierr != 0,
                                std::runtime_error,
                                "Lapack solver solve method returned with error code "
                                << solve_ierr );
 
    /* Update X's global values */
    {
#ifdef HAVE_AMESOS2_TIMERS
      Teuchos::TimeMonitor redistTimer( this->timers_.vecRedistTime_ );
#endif
 
      if ( is_contiguous_ == true ) {
        Util::put_1d_data_helper<
          MultiVecAdapter<Vector>,scalar_type>::do_put(X, rhsvals_(),
              as<size_t>(ld_rhs),
              ROOTED);
      }
      else {
        Util::put_1d_data_helper<
          MultiVecAdapter<Vector>,scalar_type>::do_put(X, rhsvals_(),
              as<size_t>(ld_rhs),
              CONTIGUOUS_AND_ROOTED);
      }
    }
 
    return( 0 );
  }
 
 
  template <class Matrix, class Vector>
  bool
  Lapack<Matrix,Vector>::matrixShapeOK_impl() const
  {
    // Factorization of rectangular matrices is supported, but not
    // their solution.  For solution we can have square matrices.
 
    return( this->globalNumCols_ == this->globalNumRows_ );
  }
 
 
  template <class Matrix, class Vector>
  void
  Lapack<Matrix,Vector>::setParameters_impl(const Teuchos::RCP<Teuchos::ParameterList> & parameterList )
  {
    solver_.solveWithTranspose( parameterList->get<bool>("Transpose",
                                                         this->control_.useTranspose_) );
 
    solver_.factorWithEquilibration( parameterList->get<bool>("Equilibrate", true) );
 
    if( parameterList->isParameter("IsContiguous") ){
      is_contiguous_ = parameterList->get<bool>("IsContiguous");
    }
 
    // solver_.solveToRefinedSolution( parameterList->get<bool>("Refine", false) );
  }
 
  template <class Matrix, class Vector>
  Teuchos::RCP<const Teuchos::ParameterList>
  Lapack<Matrix,Vector>::getValidParameters_impl() const
  {
    using Teuchos::ParameterList;
 
    static Teuchos::RCP<const Teuchos::ParameterList> valid_params;
 
    if( is_null(valid_params) ){
      Teuchos::RCP<Teuchos::ParameterList> pl = Teuchos::parameterList();
 
      pl->set("Equilibrate", true, "Whether to equilibrate the input matrix");
 
      pl->set("IsContiguous", true, "Whether GIDs contiguous");
 
      // TODO: Refinement does not seem to be working with the SerialDenseSolver.  Not sure why.
      // pl->set("Refine", false, "Whether to apply iterative refinement");
 
      valid_params = pl;
    }
 
    return valid_params;
  }
 
  template <class Matrix, class Vector>
  bool
  Lapack<Matrix,Vector>::loadA_impl(EPhase current_phase)
  {
#ifdef HAVE_AMESOS2_TIMERS
    Teuchos::TimeMonitor convTimer(this->timers_.mtxConvTime_);
#endif
 
    // We only load the matrix when numericFactorization is called
    if( current_phase < NUMFACT ) return( false );
 
    if( this->root_ ){
      Kokkos::resize(nzvals_view_,this->globalNumNonZeros_);
      Kokkos::resize(rowind_view_,this->globalNumNonZeros_);
      Kokkos::resize(colptr_view_,this->globalNumCols_ + 1);
    }
 
    // global_size_type nnz_ret = 0;
    int nnz_ret = 0;
    {
#ifdef HAVE_AMESOS2_TIMERS
      Teuchos::TimeMonitor mtxRedistTimer( this->timers_.mtxRedistTime_ );
#endif
 
      // typedef Util::get_ccs_helper<MatrixAdapter<Matrix>,
      //        scalar_type, global_ordinal_type, global_size_type> ccs_helper;
    typedef Util::get_ccs_helper_kokkos_view<MatrixAdapter<Matrix>,
        host_value_type_array, host_ordinal_type_array, host_ordinal_type_array> ccs_helper;
    if ( is_contiguous_ == true ) {
      ccs_helper::do_get(this->matrixA_.ptr(),
                         nzvals_view_, rowind_view_, colptr_view_,
                         nnz_ret, ROOTED, ARBITRARY, this->rowIndexBase_);
    }
    else {
      ccs_helper::do_get(this->matrixA_.ptr(),
                         nzvals_view_, rowind_view_, colptr_view_,
                         nnz_ret, CONTIGUOUS_AND_ROOTED, ARBITRARY, this->rowIndexBase_);
    }
  }
 
    if( this->root_ ){
      // entries are initialized to zero in here:
      lu_.shape(this->globalNumRows_, this->globalNumCols_);
 
      // Put entries of ccs representation into the dense matrix
      global_size_type end_col = this->globalNumCols_;
      for( global_size_type col = 0; col < end_col; ++col ){
        global_ordinal_type ptr = colptr_view_[col];
        global_ordinal_type end_ptr = colptr_view_[col+1];
        for( ; ptr < end_ptr; ++ptr ){
          lu_(rowind_view_[ptr], col) = nzvals_view_[ptr];
        }
      }
 
      // lu_.print(std::cout);
    }
 
  return( true );
}
 
 
  template<class Matrix, class Vector>
  const char* Lapack<Matrix,Vector>::name = "LAPACK";
 
 
} // end namespace Amesos2
 
#endif  // AMESOS2_LAPACK_DEF_HPP