Performance of distributed multiscale simulations
Artikel i vetenskaplig tidskrift, 2014

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.


J. Borgdorff

University of Amsterdam

M. Ben Belgacem

Universite de Geneve

C. Bona-Casas

Universidade da Coruña

Luis Fazendeiro

Chalmers, Rymd- och geovetenskap, Plasmafysik och fusionsenergi

D. Groen


O. Hoenen

Max Planck Institut fur Plasmaphysik

A. Mizeranschi

Ulster University

J. L. Suter


D. Coster

Max Planck Institut fur Plasmaphysik

P. V. Coveney


W. Dubitzky

Ulster University

A. G. Hoekstra

Saint Petersburg National Research University of Information Technologies, Mechanics and Optics University ITMO

Pär Strand

Chalmers, Rymd- och geovetenskap, Plasmafysik och fusionsenergi

B. Chopard

Universite de Geneve

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

1364-503X (ISSN) 1471-2962 (eISSN)

Vol. 372


Astronomi, astrofysik och kosmologi