suite Corrections expés 5.4.1

Merge branch 'master' of ssh://bilbo.iut-bm.univ-fcomte.fr/rce2015

diff --git a/cluster_x_nodes_nx_150_and_nx_170.pdf b/cluster_x_nodes_nx_150_and_nx_170.pdf
index 4ade647913b31f60f89f7d6842f0de51962957fd..063a8ea932a1e37a40b146f2633cf9ea5f5c4f09 100644 (file)
Binary files a/cluster_x_nodes_nx_150_and_nx_170.pdf and b/cluster_x_nodes_nx_150_and_nx_170.pdf differ

diff --git a/paper.tex b/paper.tex
index 1fdc62bbe39f1bac97fac168282818107e6b9e58..8bdc8f3cf5d3ee8e1bc9c31b86042ac7d4fa72a8 100644 (file)
--- a/paper.tex
+++ b/paper.tex
@@ -639,7 +639,7 @@ network  latency  from  $8.10^{-6}$  to $6.10^{-5}$  implies  an  absolute  time
 increase of more than $75\%$ (resp.   $82\%$) of the execution for the classical
 GMRES  (resp.   Krylov  multisplitting)  algorithm. The  execution  time  factor
 between the two algorithms  varies from 2.2 to 1.5 times  with a network latency
-decreasing from $8.10^{-6}$ to $6.10^{-5}$.
+decreasing from $8.10^{-6}$ to $6.10^{-5}$ second.
 
 
 \subsubsection{Network bandwidth impacts on performance}
@@ -712,7 +712,8 @@ targeted environment for the application deployment when focusing on the problem
 size scale up.  It  should be noticed that the same test has  been done with the
 grid 4 $\times$ 8 leading to the same conclusion.
 
-\subsubsection{CPU Power impacts on performance}
+\subsubsection{CPU Power impacts on performance\\}
+
 
 \begin{table} [htbp]
 \centering