From b0edf302ac768feded941239848e97818eb0ae61 Mon Sep 17 00:00:00 2001
From: Wolfgang Bangerth <bangerth@colostate.edu>
Date: Wed, 14 Aug 2019 17:26:10 -0600
Subject: [PATCH] Avoid a couple FP subtractions.

By noting that the existing code performs dim subtractions of
terms that are each a product of two values, we can reorder
things in such a way that we first accumulate the products
(which is a dot product) and then subtract the result. This
should allow for some vectorization.

The performance gain is almost certainly completely negligible,
but it makes the code marginally easier to read. The reason
why the indices involved here allow for this is because
'jacobian_pushed_forward_grads[i]' happens to be a
Tensor<3,dim> and 'shape_gradients[k][i]' is a
Tensor<1,dim>. So the types are so that their product
is in fact equivalent to the summation of the last index
as was written before.
---
 include/deal.II/fe/fe_poly.templates.h | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/include/deal.II/fe/fe_poly.templates.h b/include/deal.II/fe/fe_poly.templates.h
index 2d0938665e..867fa10c73 100644
--- a/include/deal.II/fe/fe_poly.templates.h
+++ b/include/deal.II/fe/fe_poly.templates.h
@@ -268,10 +268,9 @@ FE_Poly<PolynomialType, dim, spacedim>::fill_fe_values(
 
       for (unsigned int k = 0; k < this->dofs_per_cell; ++k)
         for (unsigned int i = 0; i < quadrature.size(); ++i)
-          for (unsigned int j = 0; j < spacedim; ++j)
-            output_data.shape_hessians[k][i] -=
-              mapping_data.jacobian_pushed_forward_grads[i][j] *
-              output_data.shape_gradients[k][i][j];
+          output_data.shape_hessians[k][i] -=
+            output_data.shape_gradients[k][i] *
+            mapping_data.jacobian_pushed_forward_grads[i];
     }
 
   if (flags & update_3rd_derivatives &&
-- 
2.39.5