X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/mpi-energy2.git/blobdiff_plain/f4aa8b7fa32fbfd15c5e3019d8091e79c090c5f5..e2d0acd1461bf4e64de95e87f02267cc513c1094:/Heter_paper.tex?ds=inline diff --git a/Heter_paper.tex b/Heter_paper.tex index a697d6e..8b0f807 100644 --- a/Heter_paper.tex +++ b/Heter_paper.tex @@ -785,13 +785,13 @@ nodes were connected via an Ethernet network with 1 Gbit/s bandwidth. The proposed algorithm was applied to the seven parallel NAS benchmarks (EP, CG, -MG, FT, BT, LU and SP) and the benchmarks were executed with the three classes: +MG, FT, BT, LU and SP) and the benchmarks were executed with the three classes: A, B and C. However, due to the lack of space in this paper, only the results of -the biggest class, C, are presented while being run on different number of -nodes, ranging from 4 to 128 or 144 nodes depending on the benchmark being -executed. Indeed, the benchmarks CG, MG, LU, EP and FT had to be executed on $1, -2, 4, 8, 16, 32, 64, 128$ nodes. The other benchmarks such as BT and SP had to -be executed on $1, 4, 9, 16, 36, 64, 144$ nodes. +the biggest class, C, are presented while being run on different number of +nodes, ranging from 4 to 128 or 144 nodes depending on the benchmark being +executed. Indeed, the benchmarks CG, MG, LU, EP and FT had to be executed on 1, +2, 4, 8, 16, 32, 64, or 128 nodes. The other benchmarks such as BT and SP had +to be executed on 1, 4, 9, 16, 36, 64, or 144 nodes. @@ -981,7 +981,7 @@ significantly reduces the energy consumption (up to \np[\%]{35}) and tries to 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 @@ -1004,10 +1004,10 @@ the computation times are small when compared to the communication times. \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}