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* Started support for unaligned vectorization.

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* Introduce a new highly optimized matrix-matrix product for large
  matrices. The code is still highly experimental and it is activated
  only if you define EIGEN_WIP_PRODUCT at compile time.
  Currently the third dimension of the product must be a factor of
  the packet size (x4 for floats) and the right handed side matrix
  must be column major.
  Moreover, currently c = a*b; actually computes c += a*b !!
  Therefore, the code is provided for experimentation purpose only !
  These limitations will be fixed soon or later to become the default
  product implementation.
This commit is contained in:
Gael Guennebaud
2008-05-05 10:23:29 +00:00
parent 8c6007f80e
commit 46fa4c713f
15 changed files with 663 additions and 79 deletions
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6
Eigen/src/Core/Transpose.h
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@@ -79,14 +79,16 @@ template<typename MatrixType> class Transpose
return m_matrix.coeff(col, row);
}
template<int LoadMode>
PacketScalar _packetCoeff(int row, int col) const
{
return m_matrix.packetCoeff(col, row);
return m_matrix.template packetCoeff<LoadMode>(col, row);
}
template<int LoadMode>
void _writePacketCoeff(int row, int col, const PacketScalar& x)
{
m_matrix.const_cast_derived().writePacketCoeff(col, row, x);
m_matrix.const_cast_derived().template writePacketCoeff<LoadMode>(col, row, x);
}
protected: