FullSWOF Paral: Comparison of two parallelization strategies (MPI and SKELGIS) on a software designed for hydrology applications^*,**

¹ MAPMO, fédération Denis Poisson, University of Orléans, France,
e-mail : stephane.cordier@math.cnrs.fr
² LIFO, University of Orléans & Géo-Hyd, France,
e-mail : helene.coullon@univ-orleans.fr
³ Lab. J.A. Dieudonné & EPU Nice Sophia, University of Nice, France,
e-mail : delestre@math.unice.fr
⁴ MAPMO, fédération Denis Poisson, University of Orléans, France,
e-mail : christian.laguerre@math.cnrs.fr
⁵ MAPMO & BRGM, University of Orléans, France,
e-mail : Minh.Hoang.Le@math.cnrs.fr
⁶ Géo-Hyd, 101 rue Jacques Charles, 45160 Olivet, France,
e-mail : daniel.pierre@geo-hyd.com
⁷ LAMFA, University of Picardie, France,
e-mail : georges.sadaka@u-picardie.fr

Abstract

In this paper, we perform a comparison of two approaches for the parallelization of an existing, free software, FullSWOF2D (http ://www.univ-orleans.fr/mapmo/soft/FullSWOF/ that solves shallow water equations for applications in hydrology) based on a domain decomposition strategy. The first approach is based on the classical MPI library while the second approach uses Parallel Algorithmic Skeletons and more precisely a library named SkelGIS (Skeletons for Geographical Information Systems). The first results presented in this article show that the two approaches are similar in terms of performance and scalability. The two implementation strategies are however very different and we discuss the advantages of each one.