correction

[mpi-energy2.git] / mpi-energy2-extension / Heter_paper.tex

diff --git a/mpi-energy2-extension/Heter_paper.tex b/mpi-energy2-extension/Heter_paper.tex
index 8ada2a0b96a2b372d42beb6546a4207014bc4886..8344ac8f1bbe7d63680651aabc037ba202b1b266 100644 (file)
--- a/mpi-energy2-extension/Heter_paper.tex
+++ b/mpi-energy2-extension/Heter_paper.tex
@@ -755,21 +755,17 @@ time is measured for all the benchmarks over these different scenarios.
 The energy consumptions  and the execution times for all the benchmarks are 
 presented in the plots \ref{fig:eng_sen} and \ref{fig:time_sen} respectively. 
 
 The energy consumptions  and the execution times for all the benchmarks are 
 presented in the plots \ref{fig:eng_sen} and \ref{fig:time_sen} respectively. 
 

-In general, the energy consumed while executing  the NAS benchmarks over one site scenario 
-for  16 and 32 nodes is lower than the energy consumed while executing over the two sites. 
-The long distance communications between the two distributed sites increases the idle time which leads to more static energy consumption. 
+For the majority of the benchmarks, the energy consumed while executing  the NAS benchmarks over one site scenario 
+for  16 and 32 nodes is lower than the energy consumed while using two sites. 
+The long distance communications between the two distributed sites increase the idle time which leads to more static energy consumption. 

  The execution times of these benchmarks 
 over one site with 16 and 32 nodes are also lower when  compared to those of the  two sites 
 scenario.
 
 
 
  The execution times of these benchmarks 
 over one site with 16 and 32 nodes are also lower when  compared to those of the  two sites 
 scenario.
 
 
 

-The EP and MG benchmarks, where there are no or small communications, showed 
-that their execution times and the energy consumptions are not effected 
-significantly in both scenarios and when the number of nodes is increase, 
-while the other benchmarks showed the inverse, because they have more communications 
-that proportionally increase the communication times if there are slow 
-communications or using more number of nodes or both of them.
+However, the  execution times and the energy consumptions of EP and MG benchmarks, which have no or small communications, are not significantly affected 
+ in both scenarios. Even when the number of nodes is doubled. On the other hand, the communications of the rest of the benchmarks increases when using long distance communications between two sites or increasing the number of computing nodes.

 
 \begin{figure}
   \centering
 
 \begin{figure}
   \centering