From: Arnaud Giersch <arnaud.giersch@iut-bm.univ-fcomte.fr>
Date: Fri, 14 Mar 2014 09:13:19 +0000 (+0100)
Subject: Remove/add some todos.
X-Git-Tag: ispa14_submission~43
X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/mpi-energy.git/commitdiff_plain/7efcd15c3006ff3285a51ee079808b452c969a39?ds=inline;hp=-c

Remove/add some todos.
---

7efcd15c3006ff3285a51ee079808b452c969a39
diff --git a/paper.tex b/paper.tex
index 373e18b..a405346 100644
--- a/paper.tex
+++ b/paper.tex
@@ -28,7 +28,7 @@
 \AG{``Optimal'' is a bit pretentious in the title}
 
 \begin{abstract}
-  \AG{FIXME}
+  \AG{complete the abstract\dots}
 \end{abstract}
 
 \section{Introduction}
@@ -293,8 +293,6 @@ with all available scaling factors on 8 or 9 nodes to produce real execution
 time values. These scaling factors are computed by dividing the maximum
 frequency by the new one see EQ~(\ref{eq:s}). In all tests, we use the simulator
 SimGrid/SMPI v3.10 to run the NAS programs.
-\AG{Fig.~\ref{fig:pred} is hard to read when printed in black and white,
-  especially the ``Normalize Real Perf.'' curve.}
 \begin{figure}[width=\textwidth,height=\textheight,keepaspectratio]
   \centering
   \includegraphics[scale=0.60]{cg_per.eps}
@@ -403,7 +401,7 @@ goal in discovering optimal scaling factor for both performance and energy at
 the same time. Therefore, we develop an energy to performance scaling algorithm
 (EPSA). This algorithm is simple and has a direct way to calculate the optimal
 scaling factor for both energy and performance at the same time.
-\begin{algorithm}[t]
+\begin{algorithm}[tp]
   \caption{EPSA}
   \label{EPSA}
   \begin{algorithmic}[1]
@@ -442,7 +440,7 @@ in the MPI program.
 %\begin{minipage}{\textwidth}
 %\AG{Use the same format as for Algorithm~\ref{EPSA}}
 
-\begin{algorithm}[d]
+\begin{algorithm}[tp]
   \caption{DVFS}
   \label{dvfs}
   \begin{algorithmic}
@@ -459,7 +457,7 @@ in the MPI program.
 \EndFor
 \end{algorithmic}
 \end{algorithm}
-\clearpage
+
 After obtaining the optimal scale factor from the EPSA algorithm. The program
 calculates the new frequency $F_i$ for each task proportionally to its time
 value $T_i$. By substitution of the EQ~(\ref{eq:s}) in the EQ~(\ref{eq:si}), we
@@ -492,7 +490,6 @@ frequencies.
   \caption{Platform File Parameters}
   % title of Table
   \centering
-  \AG{Use e.g. $5\times 10^{-7}$ instead of 5E-7}
   \begin{tabular}{ | l | l | l |l | l |l |l |  p{2cm} |}
     \hline
     Max & Min & Backbone & Backbone&Link &Link& Sharing  \\
@@ -730,8 +727,16 @@ than the first.
   \label{fig:compare}
 \end{figure}
 
-\AG{\texttt{bibtex} gives many errors, please correct them  !!  Its correct }
-\clearpage
+\section{Conclusion}
+\label{sec.conc}
+
+\AG{the conclusion needs to be written\dots{} one day}
+
+\section*{Acknowledgment}
+
+Computations have been performed on the supercomputer facilities of the
+Mésocentre de calcul de Franche-Comté.
+
 \bibliographystyle{plain}
 \bibliography{my_reference}
 \end{document}