opm-simulators/opm/simulators/linalg/bda/BlockedMatrix.hpp
2022-11-17 09:38:01 +01:00

131 lines
4.4 KiB
C++

/*
Copyright 2019 Equinor ASA
This file is part of the Open Porous Media project (OPM).
OPM is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
OPM is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with OPM. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef OPM_BLOCKED_MATRIX_HPP
#define OPM_BLOCKED_MATRIX_HPP
namespace Opm
{
namespace Accelerator
{
/// This struct resembles a blocked csr matrix, like Dune::BCRSMatrix.
/// The data is stored in contiguous memory, such that they can be copied to a device in one transfer.
class BlockedMatrix
{
public:
/// Allocate BlockedMatrix and data arrays with given sizes
/// \param[in] Nb number of blockrows
/// \param[in] nnzbs number of nonzero blocks
/// \param[in] block_size the number of rows and columns for each block
BlockedMatrix(int Nb_, int nnzbs_, unsigned int block_size_)
: nnzValues(new double[nnzbs_*block_size_*block_size_]),
colIndices(new int[nnzbs_*block_size_*block_size_]),
rowPointers(new int[Nb_+1]),
Nb(Nb_),
nnzbs(nnzbs_),
block_size(block_size_),
deleteNnzs(true),
deleteSparsity(true)
{}
/// Allocate BlockedMatrix, but copy sparsity pattern instead of allocating new memory
/// \param[in] M matrix to be copied
BlockedMatrix(const BlockedMatrix& M)
: nnzValues(new double[M.nnzbs*M.block_size*M.block_size]),
colIndices(M.colIndices),
rowPointers(M.rowPointers),
Nb(M.Nb),
nnzbs(M.nnzbs),
block_size(M.block_size),
deleteNnzs(true),
deleteSparsity(false)
{}
/// Allocate BlockedMatrix, but let data arrays point to existing arrays
/// \param[in] Nb number of blockrows
/// \param[in] nnzbs number of nonzero blocks
/// \param[in] block_size the number of rows and columns for each block
/// \param[in] nnzValues array of nonzero values, contains nnzb*block_size*block_size scalars
/// \param[in] colIndices array of column indices, contains nnzb entries
/// \param[in] rowPointers array of row pointers, contains Nb+1 entries
BlockedMatrix(int Nb_, int nnzbs_, unsigned int block_size_, double *nnzValues_, int *colIndices_, int *rowPointers_)
: nnzValues(nnzValues_),
colIndices(colIndices_),
rowPointers(rowPointers_),
Nb(Nb_),
nnzbs(nnzbs_),
block_size(block_size_),
deleteNnzs(false),
deleteSparsity(false)
{}
~BlockedMatrix(){
if (deleteNnzs) {
delete[] nnzValues;
}
if (deleteSparsity) {
delete[] colIndices;
delete[] rowPointers;
}
}
double *nnzValues;
int *colIndices;
int *rowPointers;
int Nb;
int nnzbs;
unsigned int block_size;
bool deleteNnzs;
bool deleteSparsity;
};
/// Sort a row of matrix elements from a CSR-format, where the nonzeroes are ints
/// These ints aren't actually nonzeroes, but represent a mapping used later
/// \param[inout] colIndices represent keys in sorting
/// \param[inout] data sorted according to the colIndices
/// \param[in] left lower index of data of row
/// \param[in] right upper index of data of row
void sortRow(int *colIndices, int *data, int left, int right);
/// Multiply and subtract blocks
/// a = a - (b * c)
/// \param[inout] a block to be subtracted from
/// \param[in] b input block
/// \param[in] c input block
/// \param[in] block_size size of block
void blockMultSub(double *a, double *b, double *c, unsigned int block_size);
/// Perform a matrix-matrix multiplication on two blocks
/// resMat = mat1 * mat2
/// \param[in] mat1 input block 1
/// \param[in] mat2 input block 2
/// \param[out] resMat output block
/// \param[in] block_size size of block
void blockMult(double *mat1, double *mat2, double *resMat, unsigned int block_size);
} // namespace Accelerator
} // namespace Opm
#endif