Modifs dans le summary

diff --git a/paper.tex b/paper.tex
index 9cfb25899df52832a17b81ea9fe4c7282ed78567..9bd9b8ba55bc7345cc179fe005b9f81f487440f4 100644 (file)
--- a/paper.tex
+++ b/paper.tex
@@ -94,7 +94,7 @@ analysis of simulated grid-enabled numerical iterative algorithms}
   Email:~\email{l.zianekhodja@ulg.ac.be}
 }
 
   Email:~\email{l.zianekhodja@ulg.ac.be}
 }
 

-\begin{abstract}   The behavior of multi-core applications is always a challenge
+\begin{abstract} The behavior of multi-core 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
 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


@@ -102,19 +102,23 @@ tool which allows us to change many parameters of the architecture (network
 bandwidth, latency, number of processors) and to simulate the execution of such
 applications. The main contribution of this paper is to show that the use of a
 simulation tool (here we have decided to use the SimGrid toolkit) can really
 bandwidth, latency, number of processors) and to simulate the execution of such
 applications. The main contribution of this paper is to show that the use of a
 simulation tool (here we have decided to use the SimGrid toolkit) can really

-help developpers to better tune their applications for a given multi-core
+help developers to better tune their applications for a given multi-core

 architecture.
 
 architecture.
 

-In particular we focus our attention on two parallel iterative algorithms based
-on the  Multisplitting algorithm  and we  compare them  to the  GMRES algorithm.
-These algorithms  are used to  solve linear  systems. Two different  variants of
-the Multisplitting are studied: one  using synchronoous  iterations and  another
-one  with asynchronous iterations. For each algorithm we have simulated
+%In particular we focus our attention on two parallel iterative algorithms based
+%on the  Multisplitting algorithm  and we  compare them  to the  GMRES algorithm.
+%These algorithms  are used to  solve linear  systems. Two different  variants of
+%the Multisplitting are studied: one  using synchronoous  iterations and  another
+%one  with asynchronous iterations.
+In this paper we focus our attention on the simulation of iterative algorithms to solve sparse linear systems on large clusters. We study the behavior of the widely used GMRES algorithm and two different variants of the Multisplitting algorithms: one using synchronous iterations and another one with asynchronous iterations.  
+For each algorithm we have simulated

 different architecture parameters to evaluate their influence on the overall
 different architecture parameters to evaluate their influence on the overall

-execution time.  The obtain simulated results confirm the real results
-previously obtained on different real multi-core architectures and also confirm
-the efficiency of the asynchronous multisplitting algorithm compared to the
-synchronous GMRES method.
+execution time. 
+%The obtain simulated results confirm the real results
+%previously obtained on different real multi-core architectures and also confirm
+%the efficiency of the asynchronous Multisplitting algorithm compared to the
+%synchronous GMRES method.
+The simulations confirm the real results previously obtained on different real multi-core architectures and also confirm the efficiency of the asynchronous Multisplitting algorithm on distant clusters compared to the synchronous GMRES algorithm.

 
 \end{abstract}
 
 
 \end{abstract}