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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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12
Eigen/src/Core/Assign.h
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@@ -78,7 +78,7 @@ struct ei_matrix_assignment_packet_unroller
{
ei_matrix_assignment_packet_unroller<Derived1, Derived2,
Index-ei_packet_traits<typename Derived1::Scalar>::size>::run(dst, src);
dst.writePacketCoeff(row, col, src.packetCoeff(row, col));
dst.template writePacketCoeff<Aligned>(row, col, src.template packetCoeff<Aligned>(row, col));
}
};
@@ -87,7 +87,7 @@ struct ei_matrix_assignment_packet_unroller<Derived1, Derived2, 0 >
{
static void run(Derived1 &dst, const Derived2 &src)
{
dst.writePacketCoeff(0, 0, src.packetCoeff(0, 0));
dst.template writePacketCoeff<Aligned>(0, 0, src.template packetCoeff<Aligned>(0, 0));
}
};
@@ -211,7 +211,7 @@ struct ei_assignment_impl<Derived, OtherDerived, true, false>
// FIXME the following is not really efficient
int i = index/dst.rows();
int j = index%dst.rows();
dst.writePacketCoeff(i, j, src.packetCoeff(i, j));
dst.template writePacketCoeff<Aligned>(i, j, src.template packetCoeff<Aligned>(i, j));
}
for(int i = alignedSize/dst.rows(); i < dst.rows(); i++)
for(int j = alignedSize%dst.rows(); j < dst.cols(); j++)
@@ -222,7 +222,7 @@ struct ei_assignment_impl<Derived, OtherDerived, true, false>
// std::cout << "vectorized normal row major\n";
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));
dst.template writePacketCoeff<Aligned>(i, j, src.template packetCoeff<Aligned>(i, j));
}
}
else
@@ -240,7 +240,7 @@ struct ei_assignment_impl<Derived, OtherDerived, true, false>
// FIXME the following is not really efficient
int i = index%dst.rows();
int j = index/dst.rows();
dst.writePacketCoeff(i, j, src.packetCoeff(i, j));
dst.template writePacketCoeff<Aligned>(i, j, src.template packetCoeff<Aligned>(i, j));
}
for(int j = alignedSize/dst.rows(); j < dst.cols(); j++)
for(int i = alignedSize%dst.rows(); i < dst.rows(); i++)
@@ -251,7 +251,7 @@ struct ei_assignment_impl<Derived, OtherDerived, true, false>
// std::cout << "vectorized normal col major\n";
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));
dst.template writePacketCoeff<Aligned>(i, j, src.template packetCoeff<Aligned>(i, j));
}
}
}