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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra. Eigen itself is part of the KDE project.
//
// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
// Copyright (C) 2006-2008 Benoit Jacob <jacob@math.jussieu.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, 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 2 of
// the License, or (at your option) any later version.
//
// Eigen 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 Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
#ifndef EIGEN_EVAL_OMP_H
#define EIGEN_EVAL_OMP_H
/** \class EvalOMP
*
* \brief Parallel evaluation of an expression using OpenMP
*
* The template parameter Expression is the type of the expression that we are evaluating.
*
* This class is the return type of MatrixBase::evalOMP() and most of the time this is the
* only way it is used.
*
* Note that if OpenMP is not enabled, then this class is equivalent to Eval.
*
* \sa MatrixBase::evalOMP(), class Eval, MatrixBase::eval()
*/
template<typename ExpressionType> class EvalOMP : NoOperatorEquals,
public Matrix< typename ExpressionType::Scalar,
ExpressionType::Traits::RowsAtCompileTime,
ExpressionType::Traits::ColsAtCompileTime,
EIGEN_DEFAULT_MATRIX_STORAGE_ORDER,
ExpressionType::Traits::MaxRowsAtCompileTime,
ExpressionType::Traits::MaxColsAtCompileTime>
{
public:
typedef typename ExpressionType::Scalar Scalar;
/** The actual matrix type to evaluate to. This type can be used independently
* of the rest of this class to get the actual matrix type to evaluate and store
* the value of an expression.
*/
typedef Matrix<Scalar,
ExpressionType::Traits::RowsAtCompileTime,
ExpressionType::Traits::ColsAtCompileTime,
EIGEN_DEFAULT_MATRIX_STORAGE_ORDER,
ExpressionType::Traits::MaxRowsAtCompileTime,
ExpressionType::Traits::MaxColsAtCompileTime> MatrixType;
#ifdef _OPENMP
explicit EvalOMP(const ExpressionType& other)
: MatrixType(other.rows(), other.cols())
{
#ifdef __INTEL_COMPILER
#pragma omp parallel default(none) shared(other)
#else
#pragma omp parallel default(none)
#endif
{
if (this->cols()>this->rows())
{
#pragma omp for
for(int j = 0; j < this->cols(); j++)
for(int i = 0; i < this->rows(); i++)
this->coeffRef(i, j) = other.coeff(i, j);
}
else
{
#pragma omp for
for(int i = 0; i < this->rows(); i++)
for(int j = 0; j < this->cols(); j++)
this->coeffRef(i, j) = other.coeff(i, j);
}
}
}
#else
explicit EvalOMP(const ExpressionType& other) : MatrixType(other) {}
#endif
};
/** Evaluates *this in a parallel fashion using OpenMP and returns the obtained matrix.
*
* Of course, it only makes sense to call this function for complex expressions, and/or
* large matrices (>32x32), \b and if there is no outer loop which can be parallelized.
*
* It is the responsibility of the user manage the OpenMP parameters, for instance:
* \code
* #include <omp.h>
* // ...
* omp_set_num_threads(omp_get_num_procs());
* \endcode
* You also need to enable OpenMP on your compiler (e.g., -fopenmp) during both compilation and linking.
*
* Note that if OpenMP is not enabled, then evalOMP() is equivalent to eval().
*
* \sa class EvalOMP, eval()
*/
template<typename Derived>
const EvalOMP<Derived> MatrixBase<Derived>::evalOMP() const
{
return EvalOMP<Derived>(*static_cast<const Derived*>(this));
}
#endif // EIGEN_EVAL_OMP_H
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