compared with execution on real physical architectures. In addition of SMPI,
Simgrid provides other API which can be convienent for different distrbuted
applications: computational grid applications, High Performance Computing (HPC),
-P2P but also clouds applications.In this paper we use the SMPI API. It
+P2P but also clouds applications. In this paper we use the SMPI API. It
implements about \np[\%]{80} of the MPI 2.0 standard and allows minor
modifications of the initial code~\cite{bedaride+degomme+genaud+al.2013.toward}
-(see section 4.2).
+(see Section~\ref{sec:04.02}).
Provided as an input to the simulator, at least $3$ XML files describe the
computational grid resources: number of clusters in the grid, number of
processors/cores in each cluster, detailed description of the intra and inter
- networks and the list of the hosts in each cluster (see the details in
- paragraph ?). Simgrid uses a fluid model to simulate the program execution.
+ networks and the list of the hosts in each cluster (see the details in Section~\ref{sec:expe}). Simgrid uses a fluid model to simulate the program execution.
This gives several simulation modes which produce accurate
results~\cite{bedaride+degomme+genaud+al.2013.toward,
velho+schnorr+casanova+al.2013.validity}. For instance, the "in vivo" mode
\centering
\includegraphics[width=100mm]{cluster_x_nodes_n1_x_n2.pdf}
\caption{Various grid configurations with two networks parameters: $N1$ vs. $N2$}
-\LZK{CE, remplacer les ``,'' des décimales par un ``.''}
-\RCE{ok}
+%\LZK{CE, remplacer les ``,'' des décimales par un ``.''}
+%\RCE{ok}
\label{fig:02}
\end{figure}
