* Started support for unaligned vectorization.

* 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.

Eigen/src/Core/CwiseUnaryOp.h

@@ -82,9 +82,10 @@ class CwiseUnaryOp : ei_no_assignment_operator,
       return m_functor(m_matrix.coeff(row, col));
     }
 
+    template<int LoadMode>
     PacketScalar _packetCoeff(int row, int col) const
     {
-      return m_functor.packetOp(m_matrix.packetCoeff(row, col));
+      return m_functor.packetOp(m_matrix.template packetCoeff<LoadMode>(row, col));
     }
 
   protected: