X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/mpi-energy2.git/blobdiff_plain/eac9d615d9ae026613914cc0aac04335d39cff5c..e71f2efd5963df24a527e596ea349077f0c0055b:/mpi-energy2-extension/Heter_paper.tex?ds=sidebyside

diff --git a/mpi-energy2-extension/Heter_paper.tex b/mpi-energy2-extension/Heter_paper.tex
index 82c4e24..ef4982b 100644
--- a/mpi-energy2-extension/Heter_paper.tex
+++ b/mpi-energy2-extension/Heter_paper.tex
@@ -446,13 +446,15 @@ appropriate frequency scaling factor for each processor while considering the
 characteristics of each processor (computation power, range of frequencies,
 dynamic and static powers) and the task executed (computation/communication
 ratio). The aim being to reduce the overall energy consumption and to avoid
-increasing significantly the execution time.  In our previous
+increasing significantly the execution time.
+\textcolor{blue}{  In our previous
 works~\cite{Our_first_paper} and \cite{pdsec2015}, we proposed a methods that select the optimal
 frequency scaling factors for a homogeneous and a heterogeneous clusters respectively. 
 Both of the two methods executing a message passing
 iterative synchronous application while giving the best trade-off between the
 energy consumption and the performance for such applications.  In this work we
-are interested in heterogeneous grid as described above.  Due to the
+are interested in heterogeneous grid as described above.}
+Due to the
 heterogeneity of the processors, a vector of scaling factors should be selected
 and it must give the best trade-off between energy consumption and performance.