From: laiymani <laiymani@MacBook-Pro-de-laiymani.local>
Date: Mon, 28 Apr 2014 13:44:26 +0000 (+0200)
Subject: Merge branch 'master' of ssh://info.iut-bm.univ-fcomte.fr/hpcc2014
X-Git-Tag: hpcc2014_submission~34
X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/hpcc2014.git/commitdiff_plain/0e6d063a9e15647ffb71be54897a88cbe7c9a5b4?hp=2cc5590f929bcdb64636969b81f6529f2be6a09e

Merge branch 'master' of ssh://info.iut-bm.univ-fcomte.fr/hpcc2014
---

diff --git a/hpcc.tex b/hpcc.tex
index a074868..c79ed41 100644
--- a/hpcc.tex
+++ b/hpcc.tex
@@ -705,17 +705,18 @@ of the cluster and network specifications permitting to save time in
 executing the algorithm in asynchronous mode.
 \end{enumerate}
 Our results have shown that in certain conditions, asynchronous mode is 
-speeder up to \np[\%]{40} than executing the algorithm in synchronous mode
+speeder up to \np[\%]{40} comparing to the synchronous GMRES method
 which is not negligible for solving complex practical problems with more 
 and more increasing size.
 
- Several studies have already addressed the performance execution time of 
+Several studies have already addressed the performance execution time of 
 this class of algorithm. The work presented in this paper has 
 demonstrated an original solution to optimize the use of a simulation 
 tool to run efficiently an iterative parallel algorithm in asynchronous 
 mode in a grid architecture. 
 
-\LZK{Perspectives???}
+For our futur works, we plan to extend our experimentations to larger scale platforms by increasing the number of computing cores and the number of clusters. 
+We will also have to increase the size of the input problem which will require the use of a more powerful simulation platform. At last, we expect to compare our simulation results to real execution results on real architectures in order to experimentally validate our study.
 
 \section*{Acknowledgment}