From: lilia Date: Thu, 21 Aug 2014 13:26:38 +0000 (+0200) Subject: v4-21-08-2014 X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/GMRES2stage.git/commitdiff_plain/a77eb57aac4b8cfd03ac650c5a61167f8647e458?ds=inline v4-21-08-2014 --- diff --git a/paper.tex b/paper.tex index 709ae37..0c0299f 100644 --- a/paper.tex +++ b/paper.tex @@ -431,7 +431,7 @@ Email: lilia.ziane@inria.fr} \end{abstract} \begin{IEEEkeywords} -Iterative Krylov methods; sparse linear systems; error minimization; PETSC; %à voir... +Iterative Krylov methods; sparse linear systems; error minimization; PETSc; %à voir... \end{IEEEkeywords} @@ -546,7 +546,7 @@ However, the iterative methods suffer from scalability problems on parallel comp In this paper we propose a two-stage algorithm based on two nested iterations called inner-outer iterations. The algorithm consists in solving the sparse linear system iteratively with a small number of inner iterations and restarts the outer step with a new solution minimizing some error function over a Krylov subspace. The algorithm is iterative and easy to parallelize on large clusters and the minimization technique improves its convergence and performances. -The present paper is organized as follows. In Section~\ref{sec:02} some related works are presented. Section~\ref{sec:03} presents our two-stage algorithm based on Krylov subspace iteration methods. Section~\ref{sec:04} shows some experimental results obtained on large clusters of our algorithm using routines of PETSc toolkit. +The present paper is organized as follows. In Section~\ref{sec:02} some related works are presented. Section~\ref{sec:03} presents our two-stage algorithm based on Krylov subspace iteration methods. Section~\ref{sec:04} shows some experimental results obtained on large clusters of our algorithm using routines of PETSc toolkit. %%%********************************************************* %%%*********************************************************