RCE : Corrections

[rce2015.git] / paper.tex

diff --git a/paper.tex b/paper.tex
index 64c70c892ffbf183f609e7d939557d45bee9bec0..94bdb91a7c9117115e0927184e80bc427d97d202 100644 (file)
--- a/paper.tex
+++ b/paper.tex
@@ -322,7 +322,7 @@ In the scope of this paper, our first objective is to demonstrate the
 Algo-2 (Multisplitting method) shows a better performance in grid 
 architecture compared with Algo-1 (Classical GMRES) both running in 
 \textbf{\textit{synchronous mode}}. Better algorithm performance 
 Algo-2 (Multisplitting method) shows a better performance in grid 
 architecture compared with Algo-1 (Classical GMRES) both running in 
 \textbf{\textit{synchronous mode}}. Better algorithm performance 

-should mean a less number of iterations output and a less execution time 
+should means a less number of iterations output and a less execution time 

 before reaching the convergence. For a systematic study, the experiments 
 should figure out that, for various grid parameters values, the 
 simulator will confirm the targeted outcomes, particularly for poor and 
 before reaching the convergence. For a systematic study, the experiments 
 should figure out that, for various grid parameters values, the 
 simulator will confirm the targeted outcomes, particularly for poor and 


@@ -330,7 +330,7 @@ slow networks, focusing on the impact on the communication performance
 on the chosen class of algorithm.
 
 The following paragraphs present the test conditions, the output results 
 on the chosen class of algorithm.
 
 The following paragraphs present the test conditions, the output results 

-and our comments.
+and our comments.\\

 
 
 \textit{3.a Executing the algorithms on various computational grid 
 
 
 \textit{3.a Executing the algorithms on various computational grid 


@@ -342,11 +342,11 @@ architecture scaling up the input matrix size}
 \begin{tabular}{r c }
  \hline  
  Grid & 2x16, 4x8, 4x16 and 8x8\\ %\hline
 \begin{tabular}{r c }
  \hline  
  Grid & 2x16, 4x8, 4x16 and 8x8\\ %\hline

- Network & N2 : bw=1Gbs-lat=5E-05 \\ %\hline
- Input matrix size & N$_{x}$ =150 x 150 x 150 and\\ %\hline
- - & N$_{x}$ =170 x 170 x 170    \\ \hline
+ Network & N2 : bw=1Gbits/s - lat=\np{5E-5} \\ %\hline
+ Input matrix size & N$_{x}$ x N$_{y}$ x N$_{z}$ =150 x 150 x 150\\ %\hline
+ - &  N$_{x}$ x N$_{y}$ x N$_{z}$  =170 x 170 x 170    \\ \hline

  \end{tabular}
  \end{tabular}

-Table 1 : Clusters x Nodes with NX=150 or NX=170 \\
+Table 1 : Clusters x Nodes with N$_{x}$=150 or N$_{x}$=170 \\

 
 \end{footnotesize}
 
 
 \end{footnotesize}
 


@@ -355,7 +355,7 @@ Table 1 : Clusters x Nodes with NX=150 or NX=170 \\
 %\RCE{J'ai voulu mettre les tableaux des données mais je pense que c'est inutile et ça va surcharger}
 
 
 %\RCE{J'ai voulu mettre les tableaux des données mais je pense que c'est inutile et ça va surcharger}
 
 

-The results in figure 1 show the non-variation of the number of 
+The results in figure 3 show the non-variation of the number of 

 iterations of classical GMRES for a given input matrix size; it is not 
 the case for the multisplitting method. 
 
 iterations of classical GMRES for a given input matrix size; it is not 
 the case for the multisplitting method.