\begin{document}
-\title{Energy Consumption Reduction for Message Passing Iterative Applications in Heterogeneous Architecture Using DVFS}
+\title{Energy Consumption Reduction for \\
+ Message Passing Iterative Applications on \\
+ Heterogeneous Architectures Using DVFS}
\author{%
\IEEEauthorblockN{%
Arnaud Giersch
}
\IEEEauthorblockA{%
- FEMTO-ST Institute, University of Franche-Comte\\
+ FEMTO-ST Institute, University of Franche-Comté\\
IUT de Belfort-Montbéliard,
19 avenue du Maréchal Juin, BP 527, 90016 Belfort cedex, France\\
% Telephone: \mbox{+33 3 84 58 77 86}, % Raphaël
computing power (which corresponds to \np[\%]{80} of its dynamic power and the
remaining \np[\%]{20} to the static power), the same assumption was made in
\cite{Our_first_paper,Rauber_Analytical.Modeling.for.Energy}. Finally, These
-nodes were connected via an Ethernet network with 1 Gbit/s bandwidth.
+nodes were connected via an Ethernet network with \np[Gbit/s]{1} bandwidth.
\subsection{The experimental results of the scaling algorithm}
can also be noticed that for the benchmarks EP and SP that contain little or no
communications, the energy savings are not significantly affected by the high
number of nodes. No experiments were conducted using bigger classes than D,
-because they require a lot of memory (more than 64GB) when being executed by the
-simulator on one machine. The maximum distance between the normalized energy
-curve and the normalized performance for each instance is also shown in the
-result tables. It decrease in the same way as the energy saving percentage. The
-tables also show that the performance degradation percentage is not
+because they require a lot of memory (more than \np[GB]{64}) when being executed
+by the simulator on one machine. The maximum distance between the normalized
+energy curve and the normalized performance for each instance is also shown in
+the result tables. It decrease in the same way as the energy saving percentage.
+The tables also show that the performance degradation percentage is not
significantly increased when the number of computing nodes is increased because
the computation times are small when compared to the communication times.
\section*{Acknowledgment}
This work has been partially supported by the Labex
-ACTION project (contract “ANR-11-LABX-01-01”). As a PhD student,
+ACTION project (contract ``ANR-11-LABX-01-01''). As a PhD student,
Mr. Ahmed Fanfakh, would like to thank the University of
Babylon (Iraq) for supporting his work.
