Efficient metacomputing of elliptic linear and non-linear problems

Nicolas Barberou, Marc Garbey, Matthias Hess, Michael M. Resch, Tuomo Rossi, Jari Toivanen, Damien Tromeur-Dervout

Research output: Contribution to journalArticlepeer-review

37 Scopus citations


Metacomputing is a method of using the GRID, which originated in the US and quickly was also picked up by European and Japanese researchers where a number of challenging projects were aiming at the exploitation of such distributed resources. Especially the GLOBUS project (The globus project: a status report, Proceedings IPPS/SPDP'98 Heterogeneous Computing Workshop, 1998, pp. 4-18) has contributed to the success of metacomputing substantially. However, high latency and low bandwidth have made people doubt the feasibility of this concept for big simulation codes. In this paper we present new numerical methods that help to exploit such configurations and overcome the problems of low network performance. To proof the feasibility of our approach we show results of simulations in an innovative GRID environment of supercomputers.

Original languageEnglish (US)
Pages (from-to)564-577
Number of pages14
JournalJournal of Parallel and Distributed Computing
Issue number5
StatePublished - May 1 2003


  • GRID
  • Metacomputing
  • Numerical methods
  • Simulation

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computer Networks and Communications
  • Artificial Intelligence


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