X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/mpi-energy2.git/blobdiff_plain/d9b19f4d196a6480adf6a68b1e39d6eca733b6b0..e638338c1cc32044b2b1782b02457903d228827d:/Heter_paper.tex?ds=sidebyside

diff --git a/Heter_paper.tex b/Heter_paper.tex
index 630c7fe..4f62cc6 100644
--- a/Heter_paper.tex
+++ b/Heter_paper.tex
@@ -71,7 +71,7 @@
     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
@@ -780,7 +780,7 @@ highest frequency, each node consumed an amount of power proportional to its
 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}
@@ -1004,11 +1004,11 @@ Algorithm~\ref{HSA} is less effective in reducing the overall energy savings. It
 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.
 
@@ -1249,7 +1249,7 @@ the iterative system.
 \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.