limit the performance degradation. They also show that the energy saving
percentage decreases when the number of computing nodes increases. This
reduction is due to the increase of the communication times compared to the
-execution times when the benchmarks are run over a high number of nodes.
+execution times when the benchmarks are run over a higher number of nodes.
Indeed, the benchmarks with the same class, C, are executed on different numbers
of nodes, so the computation required for each iteration is divided by the
number of computing nodes. On the other hand, more communications are required
\begin{figure}[!t]
\centering
- \subfloat[Energy saving]{%
+ \subfloat[Energy saving (\%)]{%
\includegraphics[width=.33\textwidth]{fig/energy}\label{fig:energy}}%
- \subfloat[Performance degradation ]{%
+ \subfloat[Performance degradation (\%)]{%
\includegraphics[width=.33\textwidth]{fig/per_deg}\label{fig:per_deg}}
\label{fig:avg}
\caption{The energy and performance for all NAS benchmarks running with a different number of nodes}
