X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/rce2015.git/blobdiff_plain/7f0014c901a78db6eabc4e705b0fb6f0dd7b681e..3214189bf7e42e60492beb8e8bfa3e2debcadea5:/paper.tex?ds=inline

diff --git a/paper.tex b/paper.tex
index cdbc6e7..8e5c695 100644
--- a/paper.tex
+++ b/paper.tex
@@ -92,14 +92,18 @@
 %% Lilia Ziane Khodja: Department of Aerospace \& Mechanical Engineering\\ Non Linear Computational Mechanics\\ University of Liege\\ Liege, Belgium. Email: l.zianekhodja@ulg.ac.be
 
 \begin{abstract}
-ABSTRACT
+  The behavior of multicore applications is always a challenge to predict, especially with a new architecture for which no experiment has been performed. With some applications, it is difficult, if not impossible, to build accurate performance models. That is why another solution is to use a simulation tools that allows us to change many parameters of the architecture (network bandwidth, latency, number of processors) and to simulate the execution of such applications.
+
+  In this paper, we focus our attention on two parallel iterative algorithms: one with synchronoous iterations and another one with asynchronous iterations.
+
+  
 \end{abstract}
 
 \keywords{Algorithm; distributed; iterative; asynchronous; simulation; simgrid; performance}
 
 \maketitle
 
-\section{Introduction}
+\section{Introduction} 
 
 \section{The asynchronous iteration model}
 
@@ -401,7 +405,7 @@ performance was increased in a factor of 2. The results depict also that
 when the network speed drops down, the difference between the execution 
 times can reach more than 25\%. 
 
-\textit{\\\\\\\\\\\\\\\\\\3.c Network latency impacts on performance}
+\textit{3.c Network latency impacts on performance}
 
 % environment
 \begin{footnotesize}
