From: afanfakh Date: Mon, 19 Oct 2015 14:38:05 +0000 (+0200) Subject: correcting some paragraphs and adding the conclusions X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/mpi-energy2.git/commitdiff_plain/e71f2efd5963df24a527e596ea349077f0c0055b?ds=inline;hp=--cc correcting some paragraphs and adding the conclusions --- e71f2efd5963df24a527e596ea349077f0c0055b 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.