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Performance of distributed multiscale simulations.
Borgdorff, J; Ben Belgacem, M; Bona-Casas, C; Fazendeiro, L; Groen, D; Hoenen, O; Mizeranschi, A; Suter, J L; Coster, D; Coveney, P V; Dubitzky, W; Hoekstra, A G; Strand, P; Chopard, B.
Afiliação
  • Borgdorff J; Computational Science, Informatics Institute, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands j.borgdorff@uva.nl.
  • Ben Belgacem M; Computer Science Department, University of Geneva, 1227 Carouge, Switzerland.
  • Bona-Casas C; Department of Applied Mathematics, University of A Coruña, 15001 A Coruña, Spain.
  • Fazendeiro L; Department of Earth and Space Sciences, Chalmers University of Technology, 41296 Göteborg, Sweden.
  • Groen D; Centre for Computational Science, University College London, 20 Gordon Street, London WC1H OAJ, UK.
  • Hoenen O; Max-Planck-Institut für Plasmaphysik, 85748 Garching, Germany.
  • Mizeranschi A; Nano Systems Biology, School of Biomedicine, University of Ulster, Coleraine BTS2 1SA, UK.
  • Suter JL; Centre for Computational Science, University College London, 20 Gordon Street, London WC1H OAJ, UK.
  • Coster D; Max-Planck-Institut für Plasmaphysik, 85748 Garching, Germany.
  • Coveney PV; Centre for Computational Science, University College London, 20 Gordon Street, London WC1H OAJ, UK.
  • Dubitzky W; Nano Systems Biology, School of Biomedicine, University of Ulster, Coleraine BTS2 1SA, UK.
  • Hoekstra AG; Computational Science, Informatics Institute, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands National Research University ITMO, Kronverkskiy prospekt 49, 197101 St Petersburg, Russia.
  • Strand P; Department of Earth and Space Sciences, Chalmers University of Technology, 41296 Göteborg, Sweden.
  • Chopard B; Computer Science Department, University of Geneva, 1227 Carouge, Switzerland.
Philos Trans A Math Phys Eng Sci ; 372(2021)2014 Aug 06.
Article em En | MEDLINE | ID: mdl-24982258
ABSTRACT
Multiscale simulations model phenomena across natural scales using monolithic or component-based code, running on local or distributed resources. In this work, we investigate the performance of distributed multiscale computing of component-based models, guided by six multiscale applications with different characteristics and from several disciplines. Three modes of distributed multiscale computing are identified supplementing local dependencies with large-scale resources, load distribution over multiple resources, and load balancing of small- and large-scale resources. We find that the first mode has the apparent benefit of increasing simulation speed, and the second mode can increase simulation speed if local resources are limited. Depending on resource reservation and model coupling topology, the third mode may result in a reduction of resource consumption.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Design de Software / Software / Modelos Biológicos Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Design de Software / Software / Modelos Biológicos Idioma: En Ano de publicação: 2014 Tipo de documento: Article