@@ -756,20 +756,19 @@ The properties of the dual meshes are summarized in \cref{tab:meshes poly}.
\begin{table}[bt]
\caption{Hardware used for the computation of benchmarks \cite{intel:2017XeonGold,nvidia:2017V100}. The cluster is operated by the \emph{Research Center for Informatics} (\url{http://rci.cvut.cz/}).}
% \caption{Hardware used for the computation of benchmarks. The Intel Turbo Boost technology was disabled during all computations.}
\label{tab:hardware}
\centering
\input{./data/hardware_table_rci_v100.tex}
\end{table}
\begin{table}[bt]
\caption{Properties of the triangular (2D$^\triangle_\iota$) and tetrahedral (3D$^\triangle_\iota$) meshes used in the benchmarks: mesh size $h$, number of vertices $\#\mathcal V$, number of faces $\#\mathcal F$, and number of cells $\#\mathcal C$.}
\caption{Properties of the triangular (2D$^\triangle_\iota$) and tetrahedral (3D$^\triangle_\iota$) meshes used in the benchmarks: mesh size $h$ (radius of the largest sphere circumscribed around a cell), number of vertices $\#\mathcal V$, number of faces $\#\mathcal F$, and number of cells $\#\mathcal C$.}
\label{tab:meshes}
\centering
\input{./data/meshes/meshes.tex}
\end{table}
\begin{table}[bt]
\caption{Properties of the polygonal (2D$^\ast_\iota$) and polyhedral (3D$^\ast_\iota$) meshes used in the benchmarks: mesh size $h$, number of vertices $\#\mathcal V$, number of faces $\#\mathcal F$, number of cells $\#\mathcal C$, average number of subvertices per cell $\#\mathcal{VC}$, average number of vertices per face $\#\mathcal{VF}$, and average number of faces per cell $\#\mathcal{FC}$.}
\caption{Properties of the polygonal (2D$^\ast_\iota$) and polyhedral (3D$^\ast_\iota$) meshes used in the benchmarks: number of vertices $\#\mathcal V$, number of faces $\#\mathcal F$, number of cells $\#\mathcal C$, average number of subvertices per cell $\#\mathcal{VC}$, average number of vertices per face $\#\mathcal{VF}$, and average number of faces per cell $\#\mathcal{FC}$.}
