coquille

diff --git a/hpcc.tex b/hpcc.tex
index d60fd6ae91906910775825f2aadf108178e7aadb..dabef52b9a0d2946e4ade41b098ecc7339c06d2d 100644 (file)
--- a/hpcc.tex
+++ b/hpcc.tex
@@ -45,7 +45,7 @@
 
 \begin{document}
 
-\title{Simulation of Asynchronous Iterative Numerical Algorithms Using SimGrid}
+\title{Simulation of Asynchronous Iterative Algorithms Using SimGrid}
 
 \author{%
   \IEEEauthorblockN{%
@@ -73,9 +73,9 @@
 
 \begin{abstract}
 
-Synchronous  iterative  algorithms  is  often less  scalable  than  asynchronous
+Synchronous  iterative  algorithms  are  often less  scalable  than  asynchronous
 iterative  ones.  Performing  large  scale experiments  with  different kind  of
-networks parameters is not easy  because with supercomputers such parameters are
+network parameters is not easy  because with supercomputers such parameters are
 fixed. So one  solution consists in using simulations first  in order to analyze
 what parameters  could influence or not  the behaviors of an  algorithm. In this
 paper, we show  that it is interesting to use SimGrid  to simulate the behaviors
@@ -83,7 +83,7 @@ of asynchronous  iterative algorithms. For that,  we compare the  behaviour of a
 synchronous  GMRES  algorithm  with  an  asynchronous  multisplitting  one  with
 simulations  in  which we  choose  some parameters.   Both  codes  are real  MPI
 codes. Experiments allow us to see when the multisplitting algorithm can be more
-efficience than the GMRES one to solve a 3D Poisson problem.
+efficient than the GMRES one to solve a 3D Poisson problem.
 
 
 % no keywords for IEEE conferences