\end{center}
\end{table}
-\subsubsection{Simulations for various grid architectures and scaling-up matrix sizes}
-\ \\
-% environment
+\subsubsection{Simulations for various grid architectures and scaling-up matrix sizes\\}
+
In this section, we analyze the simulations conducted on various grid
configurations and for different sizes of the 3D Poisson problem. The parameters
of the network between clusters is fixed to $N2$ (see
\label{fig:01}
\end{figure}
-\subsubsection{Simulations for two different inter-clusters network speeds \\}
+\subsubsection{Simulations for two different inter-clusters network speeds\\}
In this section, the experiments compare the behavior of the algorithms running on a
speeder inter-cluster network (N2) and also on a less performant network (N1) respectively defined in the test conditions Table~\ref{tab:02}.
-\subsubsection{Network latency impacts on performance}
-\ \\
+\subsubsection{Network latency impacts on performance\\}
+
\begin{table} [ht!]
\centering
\begin{tabular}{r c }
decreasing from $8.10^{-6}$ to $6.10^{-5}$ second.
-\subsubsection{Network bandwidth impacts on performance}
-\ \\
+\subsubsection{Network bandwidth impacts on performance\\}
+
\begin{table} [ht!]
\centering
\begin{tabular}{r c }
presents a better performance in the considered bandwidth interval with a gain
of $40\%$ which is only around $24\%$ for the classical GMRES.
-\subsubsection{Input matrix size impacts on performance}
-\ \\
+\subsubsection{Input matrix size impacts on performance\\}
+
\begin{table} [ht!]
\centering
\begin{tabular}{r c }
