TY  - JOUR
VL  - 372
N1  - © 2014 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/3.0/, which permits unrestricted use, provided the original author and source are credited.
JF  - Philos Trans A Math Phys Eng Sci
A1  - Borgdorff, J
A1  - Ben Belgacem, M
A1  - Bona-Casas, C
A1  - Fazendeiro, L
A1  - Groen, D
A1  - Hoenen, O
A1  - Mizeranschi, A
A1  - Suter, JL
A1  - Coster, D
A1  - Coveney, PV
A1  - Dubitzky, W
A1  - Hoekstra, AG
A1  - Strand, P
A1  - Chopard, B
KW  - distributed multiscale computing
KW  -  multiscale simulation
KW  -  performance
AV  - public
Y1  - 2014/08/06/
SN  - 1364-503X
TI  - Performance of distributed multiscale simulations.
UR  - http://dx.doi.org/10.1098/rsta.2013.0407
ID  - discovery1434531
N2  - 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.
IS  - 2021
ER  -