From 5d16721b368257188bbe8059e25772619bdf72da Mon Sep 17 00:00:00 2001 From: Arnaud Giersch Date: Tue, 25 Mar 2014 16:50:27 +0100 Subject: [PATCH] Reintroduce changes lost by last merge. --- paper.tex | 19 ++++++++++++------- 1 file changed, 12 insertions(+), 7 deletions(-) diff --git a/paper.tex b/paper.tex index 47be6a4..e3efb32 100644 --- a/paper.tex +++ b/paper.tex @@ -16,6 +16,7 @@ \usepackage{xspace} \usepackage[textsize=footnotesize]{todonotes} \newcommand{\AG}[2][inline]{\todo[color=green!50,#1]{\sffamily\textbf{AG:} #2}\xspace} +\newcommand{\JC}[2][inline]{\todo[color=red!10,#1]{\sffamily\textbf{JC:} #2}\xspace} \begin{document} @@ -31,14 +32,15 @@ \IEEEauthorblockA{% FEMTO-ST Institute\\ University of Franche-Comté\\ - IUT de Belfort-Montb\'{e}liard, Rue Engel Gros, BP 27, 90016 Belfort, France\\ - Fax : (+33)~3~84~58~77~32\\ - Email: \{jean-claude.charr, raphael.couturier, ahmed.fanfakh\_badri\_muslim, arnaud.giersch\}@univ-fcomte.fr + IUT de Belfort-Montbéliard, 19 avenue du Maréchal Juin, BP 527, 90016 Belfort cedex, France\\ + Fax : +33~3~84~58~77~32\\ + Email: \{jean-claude.charr,raphael.couturier,ahmed.fanfakh\_badri\_muslim,arnaud.giersch\}@univ-fcomte.fr } } \maketitle +\AG{Is the fax number correct? Shall we add a telephone number?} \begin{abstract} Dynamic Voltage Frequency Scaling (DVFS) can be applied to modern CPUs. This technique is usually used to reduce the energy consumed by a CPU while @@ -114,7 +116,7 @@ we conclude in Section~\ref{sec.concl}. \section{Related works} \label{sec.relwork} -\AG{Consider introducing the models sec.~\ref{sec.exe} maybe before related works} +\AG{Consider introducing the models (sec.~\ref{sec.exe}) before related works} In this section, some heuristics to compute the scaling factor are presented and classified into two categories: offline and online methods. @@ -164,7 +166,7 @@ The primary contribution of this paper is presenting a new online scaling factor \section{Execution and energy of parallel tasks on homogeneous platform} \label{sec.exe} -%\AG{The whole subsection ``Parallel Tasks Execution on Homogeneous Platform'', can be deleted if we need space, we can just say we are interested in this paper in homogeneous clusters} +%\JC{The whole subsection ``Parallel Tasks Execution on Homogeneous Platform'', can be deleted if we need space, we can just say we are interested in this paper in homogeneous clusters} \subsection{Parallel tasks execution on homogeneous platform} A homogeneous cluster consists of identical nodes in terms of hardware and software. Each node has its own memory and at least one processor which can @@ -264,7 +266,7 @@ EQ~(\ref{eq:energy}). The optimal scaling factor is computed by minimizing the d \left( 1 + \sum_{i=2}^{N} \frac{T_i^3}{T_1^3} \right) } \end{equation} -\AG{The following 2 sections can be merged easily} +\JC{The following 2 sections can be merged easily} \section{Performance evaluation of MPI programs} \label{sec.mpip} @@ -551,7 +553,9 @@ optimal level without considering the performance as in EQ~(\ref{eq:sopt}). We refer to this scenario as $R_{E}$. The second scenario is similar to the first except setting the slower task to the maximum frequency (when the scale $S=1$) to keep the performance from degradation as mush as possible. We refer to this -scenario as $R_{E-P}$. While we refer to our algorithm as EPSA. The comparison is made in tables~(\ref{table:compareA},\ref{table:compareB},\ref{table:compareC}). These +scenario as $R_{E-P}$. While we refer to our algorithm as EPSA. The comparison +is made in tables \ref{table:compareA}, \ref{table:compareB}, +and~\ref{table:compareC}. These tables show the results of our method and Rauber and Rünger scenarios for all the NAS benchmarks programs for classes A,B and C. \begin{table}[p] @@ -703,6 +707,7 @@ In the near future, we would like to adapt this scaling factor selection method \section*{Acknowledgment} +\AG{Jean-Claude, why did you remove the Mésocentre here?} As a PhD student, M. Ahmed Fanfakh, would like to thank the University of Babylon (Iraq) for supporting his work. -- 2.39.5