+\maketitle
+
+\begin{abstract}
+This is the abstract
+\end{abstract}
+
+\section{Introduction}
+
+Interet des itérations chaotiques pour générer des nombre alea\\
+Interet de générer des nombres alea sur GPU
+...
+
+\section{Chaotic iterations}
+
+Présentation des itérations chaotiques
+
+\section{Efficient prng based on chaotic iterations}
+
+On parle du séquentiel avec des nombres 64 bits\\
+
+Faire le lien avec le paragraphe précédent (je considère que la stratégie s'appelle $S^i$\\
+
+In order to implement efficiently a PRNG based on chaotic iterations it is
+possible to improve previous works [ref]. One solution consists in considering
+that the strategy used $S^i$ contains all the bits for which the negation is
+achieved out. Then instead of applying the negation on these bits we can simply
+apply the xor operator between the current number and the strategy $S^i$. In
+order to obtain the strategy we also use a classical PRNG.
+
+\begin{figure}[htbp]
+\begin{center}
+\fbox{
+\begin{minipage}{14cm}
+unsigned int CIprng() \{\\
+ static unsigned int x = 123123123;\\
+ unsigned long t1 = xorshift();\\
+ unsigned long t2 = xor128();\\
+ unsigned long t3 = xorwow();\\
+ x = x\textasciicircum (unsigned int)t1;\\
+ x = x\textasciicircum (unsigned int)(t2$>>$32);\\
+ x = x\textasciicircum (unsigned int)(t3$>>$32);\\
+ x = x\textasciicircum (unsigned int)t2;\\
+ x = x\textasciicircum (unsigned int)(t1$>>$32);\\
+ x = x\textasciicircum (unsigned int)t3;\\
+ return x;\\
+\}
+\end{minipage}
+}
+\end{center}
+\caption{sequential Chaotic Iteration PRNG}
+\label{algo:seqCIprng}
+\end{figure}
+
+In Figure~\ref{algo:seqCIprng} a sequential version of our chaotic iterations
+based PRNG is presented. This version uses three classical 64 bits PRNG: the
+\texttt{xorshift}, the \texttt{xor128} and the \texttt{xorwow}. These three
+PRNGs are presented in~\cite{Marsaglia2003}. As each PRNG used works with
+64-bits and as our PRNG works with 32 bits, the use of \texttt{(unsigned int)}
+selects the 32 least significant bits whereas \texttt{(unsigned int)(t3$>>$32)}
+selects the 32 most significants bits of the variable \texttt{t}. This version
+sucesses the BigCrush of the TestU01 battery [P. L’ecuyer and
+ R. Simard. Testu01].
+
+\section{Efficient prng based on chaotic iterations on GPU}
+
+On parle du passage du sequentiel au GPU
+
+\section{Experiments}
+
+On passe le BigCrush\\
+On donne des temps de générations sur GPU/CPU\\
+On donne des temps de générations de nombre sur GPU puis on rappatrie sur CPU / CPU ? bof bof, on verra
+
+\section{Lyapunov}
+
+\section{Conclusion}
+\bibliographystyle{plain}
+\bibliography{mabase}
