some changes

[mpi-energy.git] / paper.tex

diff --git a/paper.tex b/paper.tex
index 613e83bc78a5840d3726c960879c543466ae0ed1..190a50a76db74b5f0d3ddbe895ef609406cb84b1 100644 (file)
--- a/paper.tex
+++ b/paper.tex
@@ -386,7 +386,7 @@ performance as follows:
 Then, we can modelize our objective function as finding the maximum distance
 between the energy curve EQ~(\ref{eq:enorm}) and the inverse of performance
 curve EQ~(\ref{eq:pnorm_en}) over all available scaling factors $S_j$. This represent
 Then, we can modelize our objective function as finding the maximum distance
 between the energy curve EQ~(\ref{eq:enorm}) and the inverse of performance
 curve EQ~(\ref{eq:pnorm_en}) over all available scaling factors $S_j$. This represent

-the minimum energy consumption with minimum execution time (better performwhere F is the number of available frequenciesance)
+the minimum energy consumption with minimum execution time (better performance)

 in the same time, see figure~(\ref{fig:r1}). Then our objective function has the
 following form:
 \begin{equation}
 in the same time, see figure~(\ref{fig:r1}). Then our objective function has the
 following form:
 \begin{equation}