Ifpack2_Details_CrsArrays.hpp

Go to the documentation of this file.

/*@HEADER
// ***********************************************************************
//
//       Ifpack2: Templated Object-Oriented Algebraic Preconditioner Package
//                 Copyright (2009) Sandia Corporation
//
// Under terms of Contract DE-AC04-94AL85000, there is a non-exclusive
// license for use of this work by or on behalf of the U.S. Government.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY
// EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE
// CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
// PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
// LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
// NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
//
// Questions? Contact Michael A. Heroux (maherou@sandia.gov)
//
// ***********************************************************************
//@HEADER
*/
 
 
#ifndef __IFPACK2_CRSARRAYS_DECL_HPP__
#define __IFPACK2_CRSARRAYS_DECL_HPP__
 
#include <Tpetra_RowMatrix.hpp>
#include <Tpetra_CrsMatrix.hpp>
#include <Kokkos_DefaultNode.hpp>
#include <KokkosSparse_CrsMatrix.hpp>
#include <Ifpack2_LocalFilter.hpp>
#include <Ifpack2_ReorderFilter.hpp>
 
namespace Ifpack2
{
namespace Details
{
 
//Utility for getting the local values, rowptrs and colinds (in Kokkos::Views) for any RowMatrix
//Used by Fic, Filu and Fildl but may also be useful in other classes
template<typename Scalar, typename LocalOrdinal, typename GlobalOrdinal, typename Node>
struct CrsArrayReader
{
  typedef typename Node::device_type device_type;
  typedef typename device_type::execution_space execution_space;
  typedef Tpetra::RowMatrix<Scalar, LocalOrdinal, GlobalOrdinal, Node> TRowMatrix;
  typedef Tpetra::CrsMatrix<Scalar, LocalOrdinal, GlobalOrdinal, Node> TCrsMatrix;
  typedef Ifpack2::LocalFilter<TRowMatrix> Filter;
  typedef Ifpack2::ReorderFilter<TRowMatrix> ReordFilter;
  typedef KokkosSparse::CrsMatrix<Scalar, LocalOrdinal, execution_space> KCrsMatrix;
  typedef Kokkos::View<LocalOrdinal*, execution_space> OrdinalArray;
  typedef Kokkos::View<Scalar*, execution_space> ScalarArray;
  typedef Kokkos::View<LocalOrdinal*, Kokkos::HostSpace> OrdinalArrayHost;
  typedef Kokkos::View<Scalar*, Kokkos::HostSpace> ScalarArrayHost;
  typedef Kokkos::Serial functor_space;
  typedef Kokkos::RangePolicy<functor_space, int> RangePol;
 
  struct CountEntriesFunctor
  {
    CountEntriesFunctor(const TRowMatrix* A_, OrdinalArrayHost& rowptrs_) : A(A_), rowptrs(rowptrs_) {}
    KOKKOS_INLINE_FUNCTION void operator()(const int row) const
    {
      rowptrs(row) = A->getNumEntriesInLocalRow(row);
    }
    const TRowMatrix* A;
    OrdinalArrayHost& rowptrs;
  };
 
  struct GetIndicesFunctor
  {
    GetIndicesFunctor(const TRowMatrix* A_, const OrdinalArrayHost& rowptrs_, OrdinalArrayHost& colinds_) :
      A(A_), rowptrs(rowptrs_), colinds(colinds_) {}
    KOKKOS_INLINE_FUNCTION void operator()(const int row) const
    {
      LocalOrdinal offset = rowptrs(row);
      size_t entries = rowptrs(row + 1) - offset;
      Teuchos::Array<Scalar> valsArray(entries);
      Teuchos::Array<LocalOrdinal> indicesArray(entries);
      auto valsView = valsArray();
      auto indicesView = indicesArray();
      A->getLocalRowCopy(row, indicesView, valsView, entries);
      std::sort(indicesView.getRawPtr(), indicesView().getRawPtr() + entries);
      for(LocalOrdinal i = 0; i < entries; i++)
      {
        colinds(offset + i) = indicesView[i];
      }
    }
    const TRowMatrix* A;
    const OrdinalArrayHost& rowptrs;
    OrdinalArrayHost& colinds;
  };
 
  struct GetValuesFunctor
  {
    GetValuesFunctor(const TRowMatrix* A_, const OrdinalArrayHost& rowptrs_, ScalarArrayHost& vals_) :
      A(A_), rowptrs(rowptrs_), vals(vals_) {}
    KOKKOS_INLINE_FUNCTION void operator()(const int row) const
    {
      LocalOrdinal offset = rowptrs(row);
      size_t entries = rowptrs(row + 1) - offset;
      Teuchos::Array<Scalar> valsArray(entries);
      Teuchos::Array<LocalOrdinal> indicesArray(entries);
      auto valsView = valsArray();
      auto indicesView = indicesArray();
      A->getLocalRowCopy(row, indicesView, valsView, entries);
      Tpetra::sort2(indicesView.getRawPtr(), indicesView.getRawPtr() + entries, valsView.getRawPtr());
      for(LocalOrdinal i = 0; i < entries; i++)
      {
        vals(offset + i) = valsView[i];
      }
    }
    const TRowMatrix* A;
    const OrdinalArrayHost& rowptrs;
    ScalarArrayHost& vals;
  };
 
  // \param[in] A The matrix
  // \param[out] vals The values array on device (allocated inside function)
  // \param[in] rowptrs The rowptrs host view provided by getStructure()
  static void getValues(const TRowMatrix* A, ScalarArray& vals, OrdinalArrayHost& rowptrs)
  {
    auto Acrs = dynamic_cast<const TCrsMatrix*>(A);
    if(Acrs)
    {
      getValuesCrs(Acrs, vals);
      return;
    }
    //Allocate host values and device values
    LocalOrdinal nrows = A->getNodeNumRows();
    ScalarArrayHost valsHost("Values (host)", rowptrs[nrows]);
    vals = ScalarArray("Values", rowptrs[nrows]);
    GetValuesFunctor funct(A, rowptrs, valsHost);
    Kokkos::parallel_for(RangePol(0, nrows), funct);
    Kokkos::deep_copy(vals, valsHost);
  }
 
  // \param[in] A The matrix
  // \param[out] rowptrsHost The rowptrs array, in host space (allocated inside function)
  // \param[out] rowptrs The rowptrs host array, in device space (allocated inside function). Will have exactly the same values as rowptrsHost.
  // \param[out] colinds The colinds array, in device space (allocated inside function)
  static void getStructure(const TRowMatrix* A, OrdinalArrayHost& rowptrsHost, OrdinalArray& rowptrs, OrdinalArray& colinds)
  {
    auto Acrs = dynamic_cast<const TCrsMatrix*>(A);
    if(Acrs)
    {
      getStructureCrs(Acrs, rowptrs, colinds);
      return;
    }
    //Need to allocate new array, then copy in one row at a time
    //note: actual rowptrs in the CrsMatrix implementation is size_t, but
    //FastILU needs them as LocalOrdinal so this function provides an OrdinalArray
    LocalOrdinal nrows = A->getNodeNumRows();
    rowptrsHost = OrdinalArrayHost("RowPtrs (host)", nrows + 1);
    rowptrs = OrdinalArray("RowPtrs", nrows + 1);
    CountEntriesFunctor countFunct(A, rowptrsHost);
    Kokkos::parallel_for(RangePol(0, nrows), countFunct);
    //convert rowptrsHost to prefix sum
    {
      LocalOrdinal accum = 0;
      for(LocalOrdinal i = 0; i < nrows; i++)
      {
        LocalOrdinal temp = rowptrsHost[i];
        rowptrsHost[i] = accum;
        accum += temp;
      }
      rowptrsHost[nrows] = accum;
    }
    //Get colinds (host)
    OrdinalArrayHost colindsHost = OrdinalArrayHost("ColInds (host)", rowptrsHost[nrows]);
    colinds = OrdinalArray("ColInds", rowptrsHost[nrows]);
    GetIndicesFunctor indicesFunct(A, rowptrsHost, colindsHost);
    Kokkos::parallel_for(RangePol(0, nrows), indicesFunct);
    //copy rowptrs and colinds to device
    Kokkos::deep_copy(rowptrs, rowptrsHost);
    Kokkos::deep_copy(colinds, colindsHost);
  }
 
  private:
 
  static void getValuesCrs(const TCrsMatrix* A, ScalarArray& vals)
  {
    vals = A->getLocalMatrix().values;
  }
 
  static void getStructureCrs(const TCrsMatrix* A, OrdinalArray& rowptrs, OrdinalArray& colinds)
  {
    //rowptrs really have data type size_t, but need them as LocalOrdinal, so must convert manually
    auto rowmap = A->getLocalMatrix().graph.row_map;
    //allocate rowptrs, it's a deep copy (colinds is a shallow copy so not necessary for it)
    rowptrs = OrdinalArray("RowPtrs", A->getNodeNumRows() + 1);
    for(size_t i = 0; i < rowmap.extent(0); i++)
    {
      rowptrs[i] = rowmap[i];
    }
    colinds = A->getLocalMatrix().graph.entries;
  }
};
 
} //Details
} //Ifpack2
 
#endif