GlobalMatrix.cpp

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///////////////////////////////////////////////////////////////////////////////
//
// File: GlobalMatrix.cpp
//
// For more information, please see: http://www.nektar.info
//
// The MIT License
//
// Copyright (c) 2006 Division of Applied Mathematics, Brown University (USA),
// Department of Aeronautics, Imperial College London (UK), and Scientific
// Computing and Imaging Institute, University of Utah (USA).
//
// Permission is hereby granted, free of charge, to any person obtaining a
// copy of this software and associated documentation files (the "Software"),
// to deal in the Software without restriction, including without limitation
// the rights to use, copy, modify, merge, publish, distribute, sublicense,
// and/or sell copies of the Software, and to permit persons to whom the
// Software is furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included
// in all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
// THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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// DEALINGS IN THE SOFTWARE.
//
// Description: GlobalMatrix definition
//
///////////////////////////////////////////////////////////////////////////////
 
#include <LibUtilities/LinearAlgebra/SparseMatrix.hpp>
#include <LibUtilities/LinearAlgebra/SparseUtils.hpp>
#include <LibUtilities/LinearAlgebra/StorageSmvBsr.hpp>
#include <MultiRegions/GlobalMatrix.h>
 
#include <fstream>
#include <iomanip>
 
using namespace std;
 
namespace Nektar
{
namespace MultiRegions
{
std::string GlobalMatrix::def =
    LibUtilities::SessionReader::RegisterDefaultSolverInfo(
        "GlobalMatrixStorageType", "SmvBSR");
std::string GlobalMatrix::lookupIds[3] = {
    LibUtilities::SessionReader::RegisterEnumValue(
        "GlobalMatrixStorageType", "SmvBSR", MultiRegions::eSmvBSR)};
 
/**
 * @class GlobalMatrix
 * This matrix is essentially a wrapper around a DNekSparseMat.
 */
 
/**
 * Allocates a new DNekSparseMat object from the given specification.
 * @param   rows        Number of rows in matrix.
 * @param   columns     Number of columns in matrix.
 * @param   cooMat      ?
 */
GlobalMatrix::GlobalMatrix(const LibUtilities::SessionReaderSharedPtr &pSession,
                           unsigned int rows, unsigned int columns,
                           const COOMatType &cooMat,
                           const MatrixStorage &matStorage)
    : m_smvbsrmatrix(), m_rows(rows), m_mulCallsCounter(0)
{
    MatrixStorageType storageType =
        pSession->GetSolverInfoAsEnum<MatrixStorageType>(
            "GlobalMatrixStorageType");
 
    unsigned int brows, bcols;
 
    // Size of dense matrix sub-blocks
    int block_size = 1;
 
    BCOMatType bcoMat;
 
    // assuming current sparse format allows
    // block-sparse data representation
 
    if (pSession->DefinesParameter("SparseBlockSize"))
    {
        pSession->LoadParameter("SparseBlockSize", block_size);
        ASSERTL1(block_size > 0,
                 "SparseBlockSize parameter must to be positive");
    }
 
    brows = rows / block_size + (rows % block_size > 0);
    bcols = columns / block_size + (columns % block_size > 0);
 
    if (rows % block_size > 0)
        m_copyOp = true;
 
    if (m_copyOp)
    {
        m_tmpin  = Array<OneD, NekDouble>(brows * block_size, 0.0);
        m_tmpout = Array<OneD, NekDouble>(brows * block_size, 0.0);
    }
 
    convertCooToBco(block_size, cooMat, bcoMat);
 
    size_t matBytes = 0;
    switch (storageType)
    {
        case eSmvBSR:
        {
 
            // Create zero-based Smv-multiply BSR sparse storage holder
            DNekSmvBsrMat::SparseStorageSharedPtr sparseStorage =
                MemoryManager<DNekSmvBsrMat::StorageType>::AllocateSharedPtr(
                    brows, bcols, block_size, bcoMat, matStorage);
 
            // Create sparse matrix
            m_smvbsrmatrix =
                MemoryManager<DNekSmvBsrMat>::AllocateSharedPtr(sparseStorage);
 
            matBytes = m_smvbsrmatrix->GetMemoryFootprint();
        }
        break;
 
        default:
            NEKERROR(ErrorUtil::efatal,
                     "Unsupported sparse storage type chosen");
    }
 
    cout << "Global matrix storage type: " << MatrixStorageTypeMap[storageType]
         << endl;
    std::cout << "Global matrix memory, bytes = " << matBytes;
    if (matBytes / (1024 * 1024) > 0)
    {
        std::cout << " (" << matBytes / (1024 * 1024) << " MB)" << std::endl;
    }
    else
    {
        std::cout << " (" << matBytes / 1024 << " KB)" << std::endl;
    }
    std::cout << "Sparse storage block size = " << block_size << std::endl;
}
 
/**
 * Performs a matrix-vector multiply using the sparse format-specific
 * multiply routine.
 * @param   in          Input vector.
 * @param   out         Output vector.
 */
void GlobalMatrix::Multiply(const Array<OneD, const NekDouble> &in,
                            Array<OneD, NekDouble> &out)
{
    if (!m_copyOp)
    {
        if (m_smvbsrmatrix)
            m_smvbsrmatrix->Multiply(in, out);
    }
    else
    {
        // if block size makes the last row/column bigger, one needs
        // using temporary storage for rhs and result vectors.
        Vmath::Vcopy(m_rows, &in[0], 1, &m_tmpin[0], 1);
 
        if (m_smvbsrmatrix)
            m_smvbsrmatrix->Multiply(m_tmpin, m_tmpout);
 
        Vmath::Vcopy(m_rows, &m_tmpout[0], 1, &out[0], 1);
    }
 
    m_mulCallsCounter++;
}
 
unsigned long GlobalMatrix::GetMulCallsCounter() const
{
    if (m_smvbsrmatrix)
        return m_smvbsrmatrix->GetMulCallsCounter();
    return -1;
}
 
unsigned int GlobalMatrix::GetNumNonZeroEntries() const
{
    if (m_smvbsrmatrix)
        return m_smvbsrmatrix->GetNumNonZeroEntries();
    return -1;
}
 
} // namespace MultiRegions
} // namespace Nektar