* Start of the LU module, with matrix inversion already there and

fully optimized.
* Even if LargeBit is set, only parallelize for large enough objects
  (controlled by EIGEN_PARALLELIZATION_TRESHOLD).
This commit is contained in:
Benoit Jacob
2008-04-14 08:20:24 +00:00
parent ab4046970b
commit ea3ccb1e8c
14 changed files with 360 additions and 23 deletions

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@@ -135,6 +135,11 @@ Derived& MatrixBase<Derived>
}
}
template<typename T1, typename T2> bool ei_should_parallelize_assignment(const T1& t, const T2&)
{
return (T1::Flags & T2::Flags & LargeBit) && t.size() >= EIGEN_PARALLELIZATION_TRESHOLD;
}
template <typename Derived, typename OtherDerived>
struct ei_assignment_impl<Derived, OtherDerived, false>
{
@@ -157,7 +162,7 @@ struct ei_assignment_impl<Derived, OtherDerived, false>
for(int j = 0; j < dst.cols(); j++) \
for(int i = 0; i < dst.rows(); i++) \
dst.coeffRef(i, j) = src.coeff(i, j);
EIGEN_RUN_PARALLELIZABLE_LOOP(Derived::Flags & OtherDerived::Flags & LargeBit)
EIGEN_RUN_PARALLELIZABLE_LOOP(ei_should_parallelize_assignment(dst, src))
#undef EIGEN_THE_PARALLELIZABLE_LOOP
}
else
@@ -168,7 +173,7 @@ struct ei_assignment_impl<Derived, OtherDerived, false>
for(int i = 0; i < dst.rows(); i++) \
for(int j = 0; j < dst.cols(); j++) \
dst.coeffRef(i, j) = src.coeff(i, j);
EIGEN_RUN_PARALLELIZABLE_LOOP(Derived::Flags & OtherDerived::Flags & LargeBit)
EIGEN_RUN_PARALLELIZABLE_LOOP(ei_should_parallelize_assignment(dst, src))
#undef EIGEN_THE_PARALLELIZABLE_LOOP
}
}
@@ -198,7 +203,7 @@ struct ei_assignment_impl<Derived, OtherDerived, true>
for(int i = 0; i < dst.rows(); i++) \
for(int j = 0; j < dst.cols(); j+=ei_packet_traits<typename Derived::Scalar>::size) \
dst.writePacketCoeff(i, j, src.packetCoeff(i, j));
EIGEN_RUN_PARALLELIZABLE_LOOP(Derived::Flags & OtherDerived::Flags & LargeBit)
EIGEN_RUN_PARALLELIZABLE_LOOP(ei_should_parallelize_assignment(dst, src))
#undef EIGEN_THE_PARALLELIZABLE_LOOP
}
else
@@ -207,7 +212,7 @@ struct ei_assignment_impl<Derived, OtherDerived, true>
for(int j = 0; j < dst.cols(); j++) \
for(int i = 0; i < dst.rows(); i+=ei_packet_traits<typename Derived::Scalar>::size) \
dst.writePacketCoeff(i, j, src.packetCoeff(i, j));
EIGEN_RUN_PARALLELIZABLE_LOOP(Derived::Flags & OtherDerived::Flags & LargeBit)
EIGEN_RUN_PARALLELIZABLE_LOOP(ei_should_parallelize_assignment(dst, src))
#undef EIGEN_THE_PARALLELIZABLE_LOOP
}
}

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@@ -67,11 +67,11 @@ struct ei_traits<Block<MatrixType, BlockRows, BlockCols> >
: (BlockRows==Dynamic ? MatrixType::MaxRowsAtCompileTime : BlockRows),
MaxColsAtCompileTime = ColsAtCompileTime == 1 ? 1
: (BlockCols==Dynamic ? MatrixType::MaxColsAtCompileTime : BlockCols),
FlagsLargeBit = ((RowsAtCompileTime != Dynamic && MatrixType::RowsAtCompileTime == Dynamic)
|| (ColsAtCompileTime != Dynamic && MatrixType::ColsAtCompileTime == Dynamic))
? ~LargeBit
: ~(unsigned int)0,
Flags = MatrixType::Flags & FlagsLargeBit & ~VectorizableBit,
FlagsMaskLargeBit = ((RowsAtCompileTime != Dynamic && MatrixType::RowsAtCompileTime == Dynamic)
|| (ColsAtCompileTime != Dynamic && MatrixType::ColsAtCompileTime == Dynamic))
? ~LargeBit
: ~(unsigned int)0,
Flags = MatrixType::Flags & FlagsMaskLargeBit & ~VectorizableBit,
CoeffReadCost = MatrixType::CoeffReadCost
};
};

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@@ -95,11 +95,8 @@ struct ei_traits<Matrix<_Scalar, _Rows, _Cols, _Flags, _MaxRows, _MaxCols> >
};
};
template<typename _Scalar, int _Rows, int _Cols,
unsigned int _Flags = EIGEN_DEFAULT_MATRIX_FLAGS,
int _MaxRows = _Rows, int _MaxCols = _Cols>
class Matrix : public MatrixBase<Matrix<_Scalar, _Rows, _Cols,
_Flags, _MaxRows, _MaxCols> >
template<typename _Scalar, int _Rows, int _Cols, unsigned int _Flags, int _MaxRows, int _MaxCols>
class Matrix : public MatrixBase<Matrix<_Scalar, _Rows, _Cols, _Flags, _MaxRows, _MaxCols> >
{
public:

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@@ -506,6 +506,15 @@ template<typename Derived> class MatrixBase
{ return *static_cast<Derived*>(const_cast<MatrixBase*>(this)); }
//@}
/** \name LU module
*
* \code #include <Eigen/LU> \endcode
*/
//@{
const Inverse<Derived, true> inverse() const;
const Inverse<Derived, false> quickInverse() const;
//@}
private:
PacketScalar _packetCoeff(int , int) const { ei_internal_assert(false && "_packetCoeff not defined"); }

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@@ -280,6 +280,8 @@ void Product<Lhs,Rhs,EvalMode>::_cacheOptimalEval(DestDerived& res) const
{
res.setZero();
const int cols4 = m_lhs.cols() & 0xfffffffC;
const bool should_parallelize = (Flags & DestDerived::Flags & LargeBit)
&& res.size() >= EIGEN_PARALLELIZATION_TRESHOLD;
#ifdef EIGEN_VECTORIZE
if( (Flags & VectorizableBit) && (!(Lhs::Flags & RowMajorBit)) )
{
@@ -318,7 +320,7 @@ void Product<Lhs,Rhs,EvalMode>::_cacheOptimalEval(DestDerived& res) const
res.writePacketCoeff(i,k,ei_pmul(tmp, m_lhs.packetCoeff(i,j))); \
} \
}
EIGEN_RUN_PARALLELIZABLE_LOOP(Flags & DestDerived::Flags & LargeBit)
EIGEN_RUN_PARALLELIZABLE_LOOP(should_parallelize)
#undef EIGEN_THE_PARALLELIZABLE_LOOP
}
else
@@ -345,7 +347,7 @@ void Product<Lhs,Rhs,EvalMode>::_cacheOptimalEval(DestDerived& res) const
res.coeffRef(i,k) += tmp * m_lhs.coeff(i,j); \
} \
}
EIGEN_RUN_PARALLELIZABLE_LOOP(Flags & DestDerived::Flags & LargeBit)
EIGEN_RUN_PARALLELIZABLE_LOOP(should_parallelize)
#undef EIGEN_THE_PARALLELIZABLE_LOOP
}
}

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@@ -29,7 +29,11 @@ template<typename T> struct ei_traits;
template<typename Lhs, typename Rhs> struct ei_product_eval_mode;
template<typename T> struct NumTraits;
template<typename _Scalar, int _Rows, int _Cols, unsigned int _Flags, int _MaxRows, int _MaxCols> class Matrix;
template<typename _Scalar, int _Rows, int _Cols,
unsigned int _Flags = EIGEN_DEFAULT_MATRIX_FLAGS,
int _MaxRows = _Rows, int _MaxCols = _Cols>
class Matrix;
template<typename ExpressionType> class Lazy;
template<typename ExpressionType> class Temporary;
template<typename MatrixType> class Minor;
@@ -47,7 +51,6 @@ template<typename MatrixType> class DiagonalCoeffs;
template<typename MatrixType> class Identity;
template<typename MatrixType> class Map;
template<typename Derived> class Eval;
template<typename Derived> class EvalOMP;
template<int Direction, typename UnaryOp, typename MatrixType> class PartialRedux;
template<typename Scalar> struct ei_scalar_sum_op;
@@ -70,4 +73,6 @@ template<typename Scalar> struct ei_scalar_quotient1_op;
template<typename Scalar> struct ei_scalar_min_op;
template<typename Scalar> struct ei_scalar_max_op;
template<typename ExpressionType, bool CheckExistence = true> class Inverse;
#endif // EIGEN_FORWARDDECLARATIONS_H

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@@ -37,6 +37,10 @@
#define EIGEN_UNROLLING_LIMIT 400
#endif
#ifndef EIGEN_PARALLELIZATION_TRESHOLD
#define EIGEN_PARALLELIZATION_TRESHOLD 2000
#endif
#ifdef EIGEN_DEFAULT_TO_ROW_MAJOR
#define EIGEN_DEFAULT_MATRIX_STORAGE_ORDER RowMajorBit
#else

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@@ -182,5 +182,4 @@ template<typename T> struct ei_packet_traits
enum {size=1};
};
#endif // EIGEN_META_H