\AG{``Optimal'' is a bit pretentious in the title}
\begin{abstract}
- \AG{FIXME}
+ \AG{complete the abstract\dots}
\end{abstract}
\section{Introduction}
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}
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]
%\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}
\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
\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 \\
\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}
