deletions | additions       diff --git a/Parallelization.tex b/Parallelization.tex  index 61606b3..e326f00 100644  --- a/Parallelization.tex  +++ b/Parallelization.tex 
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memory with the objective of using processor caches more efficiently  in finite-difference operators. We have found that by using space  filling curves~\cite{Peano_1890}, as shown in Fig.~\ref{fig:gridmaps},  in particular the Hilbert curve~\cite{Hilbert_1891,Skilling2004} we can produce a significant improvement in the performance of semi-local operations. For example in Fig.\ref{fig:gpu_laplacian} shows that a performance gain of around 50\% can be obtained for the finite-difference Laplacian operator. operator running on a GPU.  Parallelization in Octopus is performed on different levels. The most  basic one is domain decomposition, were the grid is divided in