X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/hpcc2014.git/blobdiff_plain/70f82cf5e87fbbebce020a9163579a602385a7ff..a1f69a7eed4bce700bca42062355b715b4ad6f9c:/hpcc.tex

diff --git a/hpcc.tex b/hpcc.tex
index a5f2768..59b4946 100644
--- a/hpcc.tex
+++ b/hpcc.tex
@@ -89,15 +89,14 @@ from the current work, a simulated environment like Simgrid provides
 accurate results which are difficult or even impossible to obtain in a 
 physical platform by exploiting the flexibility of the simulator on the 
 computing units clusters and the network structure design. Our 
-experimental outputs showed a saving of up to 40 \% for the algorithm 
+experimental outputs showed a saving of up to \np[\%]{40} for the algorithm
 execution time in asynchronous mode compared to the synchronous one with 
-a residual precision up to E-11. Such successful results open 
+a residual precision up to \np{E-11}. Such successful results open
 perspectives on experimentations for running the algorithm on a 
 simulated large scale growing environment and with larger problem size. 
 
-Keywords : Algorithm distributed iterative asynchronous simulation 
-simgrid
-
+% no keywords for IEEE conferences
+% Keywords: Algorithm distributed iterative asynchronous simulation simgrid
 \end{abstract}
 
 \section{Introduction}
@@ -378,7 +377,7 @@ For the 3 clusters architecture including a total of 100 hosts, Table~\ref{tab.c
 that it was difficult to have a combination which gives an efficiency of
 asynchronous below \np[\%]{80}. Indeed, for a matrix size of 62 elements, equality
 between the performance of the two modes (synchronous and asynchronous) is
-achieved with an inter cluster of \np[Mbits/s]{10} and a latency of \np{E-1} ms. To
+achieved with an inter cluster of \np[Mbits/s]{10} and a latency of \np[ms]{E-1}. To
 challenge an efficiency by \np[\%]{78} with a matrix size of 100 points, it was
 necessary to degrade the inter cluster network bandwidth from 5 to 2 Mbit/s.
 
@@ -408,7 +407,7 @@ executing the algorithm in asynchronous mode.
 \setcounter{numberedCntD}{\theenumi}
 \end{enumerate}
 Our results have shown that in certain conditions, asynchronous mode is 
-speeder up to 40 \% than executing the algorithm in synchronous mode 
+speeder up to \np[\%]{40} than executing the algorithm in synchronous mode
 which is not negligible for solving complex practical problems with more 
 and more increasing size.
 
