Performance of distributed multiscale simulations
Journal article, 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

University of Geneva

C. Bona-Casas

University of A Coruña

Luis Fazendeiro

Chalmers, Earth and Space Sciences, Plasma Physics and Fusion Energy

D. Groen

University College London (UCL)

O. Hoenen

Max Planck Society

A. Mizeranschi

Ulster University

J. L. Suter

University College London (UCL)

D. Coster

Max Planck Society

P. V. Coveney

University College London (UCL)

W. Dubitzky

Ulster University

A. G. Hoekstra

ITMO University

Pär Strand

Chalmers, Earth and Space Sciences, Plasma Physics and Fusion Energy

B. Chopard

University of Geneva

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

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

Vol. 372 2021 20130407

Multiscale Applications on European e-Infrastructures (MAPPER)

European Commission (EC) (EC/FP7/261507), 2010-10-01 -- 2013-09-30.

Subject Categories

Astronomy, Astrophysics and Cosmology



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