From 7314cfe257c8b75f34a34995a4a2075edc1d3888 Mon Sep 17 00:00:00 2001 From: raphael couturier Date: Sun, 27 Apr 2014 19:23:24 +0200 Subject: [PATCH] modif pour merger --- hpcc.tex | 32 ++------------------------------ 1 file changed, 2 insertions(+), 30 deletions(-) diff --git a/hpcc.tex b/hpcc.tex index 640f3ae..865fb94 100644 --- a/hpcc.tex +++ b/hpcc.tex @@ -135,35 +135,7 @@ iterative asynchronous algorithms to solve a given problem on a large-scale simulated environment challenges to find optimal configurations giving the best results with a lowest residual error and in the best of execution time. -<<<<<<< HEAD -To our knowledge, there is no existing work on the large-scale simulation of a -real AIAC application. The aim of this paper is twofold. First we give a first -approach of the simulation of AIAC algorithms using a simulation tool (i.e. the -SimGrid toolkit~\cite{SimGrid}). Second, we confirm the effectiveness of -asynchronous mode algorithms by comparing their performance with the synchronous -mode. More precisely, we had implemented a program for solving large -linear system of equations by numerical method GMRES (Generalized -Minimal Residual) \cite{ref1}. We show, that with minor modifications of the -initial MPI code, the SimGrid toolkit allows us to perform a test campaign of a -real AIAC application on different computing architectures. The simulated -results we obtained are in line with real results exposed in ??\AG[]{ref?}. -SimGrid had allowed us to launch the application from a modest computing -infrastructure by simulating different distributed architectures composed by -clusters nodes interconnected by variable speed networks. In the simulated environment, after setting appropriate -network and cluster parameters like the network bandwidth, latency or the processors power, -the experimental results have demonstrated a asynchronous execution time saving up to \np[\%]{40} in -compared to the synchronous mode. -\AG{Il faudrait revoir la phrase précédente (couper en deux?). Là, on peut - avoir l'impression que le gain de \np[\%]{40} est entre une exécution réelle - et une exécution simulée!} -\CER{La phrase a été modifiée} - -This article is structured as follows: after this introduction, the next section will give a brief description of -iterative asynchronous model. Then, the simulation framework SimGrid is presented with the settings to create various -distributed architectures. The algorithm of the multisplitting method based on GMRES \LZK{??? GMRES n'utilise pas la méthode de multisplitting! Sinon ne doit on pas expliquer le choix d'une méthode de multisplitting?} \CER{La phrase a été corrigée} written with MPI primitives and -its adaptation to SimGrid with SMPI (Simulated MPI) is detailed in the next section. At last, the experiments results -carried out will be presented before some concluding remarks and future works. -======= + To our knowledge, there is no existing work on the large-scale simulation of a real AIAC application. {\bf The contribution of the present paper can be summarised in two main points}. First we give a first approach of the @@ -196,7 +168,7 @@ based on GMRES to solve each block obtained of the splitting. This code is written with MPI primitives and its adaptation to SimGrid with SMPI (Simulated MPI) is detailed in the next section. At last, the simulation results carried out will be presented before some concluding remarks and future works. ->>>>>>> 6785b9ef58de0db67c33ca901c7813f3dfdc76e0 + \section{Motivations and scientific context} -- 2.39.5