From: afanfakh <afanfakh@fanfakh.afanfakh>
Date: Thu, 27 Oct 2016 12:15:51 +0000 (+0200)
Subject: corrections
X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/ThesisAhmed.git/commitdiff_plain/c0e283963e036526dd575326d4f257b270ac03e9?ds=sidebyside

corrections
---

diff --git a/CHAPITRE_01.tex b/CHAPITRE_01.tex
index cc23717..306bcf7 100644
--- a/CHAPITRE_01.tex
+++ b/CHAPITRE_01.tex
@@ -652,7 +652,7 @@ There are two drawbacks in this energy model as follows:
       types of  processors, which  consume different dynamic and static powers. 
 \end{itemize}
 
-Therefore, one of the more important goals of this work is to develop a new energy models that 
+Therefore, one of the most important goals of this work is to develop a new energy models that 
  take into consideration the communication times in addition to the  computation times in order to modelize and measure the energy consumptions of the parallel iterative methods. These models must be suitable to  homogeneous or heterogeneous parallel architectures.  
 
 \section{Conclusion}
diff --git a/CHAPITRE_02.tex b/CHAPITRE_02.tex
index c6a9a29..c3b1245 100644
--- a/CHAPITRE_02.tex
+++ b/CHAPITRE_02.tex
@@ -44,7 +44,7 @@ benchmarks (NPB v3.3) developed by the  NASA~\cite{ref65}.  Our experiments are
 SimGrid/SMPI v3.10~\cite{ref66} over an homogeneous
 distributed memory architecture. 
 
-This chapter is composed of two parts. The first part, the proposed frequency scaling selection algorithm  uses the energy model of the Rauber and Rünger \cite{ref47} and  is compared to Rauber and Rünger's method.  The comparison results show that our algorithm gives better energy-time trade-off. In the second part,  a new energy model  that takes into account both the communication and computation times of the MPI programs running over a homogeneous cluster is developed.
+This chapter is composed of two parts. In the first part, the proposed frequency scaling selection algorithm  uses the energy model of  Rauber and Rünger \cite{ref47} and  is compared to Rauber and Rünger's method.  The comparison results show that our algorithm gives better energy-time trade-off. In the second part,  a new energy model  that takes into account both the communication and computation times of the MPI programs running over a homogeneous cluster is developed.
 It  also shows the new results obtained using the new energy model. The results are compared to the  ones given by Rauber and Rünger's energy model.  
 
 
diff --git a/entete.tex b/entete.tex
index f3662a3..d8b12ae 100644
--- a/entete.tex
+++ b/entete.tex
@@ -97,8 +97,8 @@
 %\addjury{Karine}{Deschinkel}{Co-Supervisor}{Assistant Professor at University of Franche-Comt\'e}
 %\addjury{Michel}{Salomon}{Co-Supervisor}{Assistant Professor at University of Franche-Comt\'e}
 \fi
- \addjury {} {Pr Jean-Marc Pierson} {University of Paul Sabatier} {Reviewer}
 \addjury{} {DR Fabienne Jézéquel(HDR)} {University of Paris 6} {Reviewer}
+ \addjury {} {Pr Jean-Marc Pierson} {University of Toulouse 3} {Reviewer}
 \addjury {}{Pr Nabil Abdennadher} {University of HES-SO, Switzerland} {Examiner}
 \addjury {} {Pr Raphaël Couturier} {University of Franche-Comt\'e} {Supervisor}
 \addjury {} {Dr Jean-Claude Charr} {University of Franche-Comt\'e} { Co-supervisor}