\documentclass{article}
+\usepackage[utf8]{inputenc}
+\usepackage{amsfonts,amssymb}
+\usepackage{amsmath}
+\usepackage{graphicx}
+
+\title{A scalable multisplitting algorithm for solving large sparse linear systems}
+
+
\begin{document}
+\author{Raphaël Couturier \and Lilia Ziane Khodja}
+
+\maketitle
+
+
+\begin{abstract}
+In this paper we revist the krylov multisplitting algorithm presented in [ref]
+which uses a scalar method to minimize the krylov iterations computed by a
+multisplitting algorithm. Our new algorithm is simply a parallel multisplitting
+algorithm with few blocks of large size and a parallel krylov minimization is
+used to improve the convergence. Some large scale experiments with a 3D Poisson
+problem are presented. They show the obtained improvements compared to a
+classical GMRES both in terms of number of iterations and execution times.
+\end{abstract}
+
+\section{Introduction}
-This paper presents ....
-It's done...
+Iterative methods used to solve large sparse linear systems of the form $Ax=b$
+because they are easier to parallelize than direct ones.
\end{document}
