eprintid: 1434531
rev_number: 30
eprint_status: archive
userid: 608
dir: disk0/01/43/45/31
datestamp: 2014-07-14 18:40:18
lastmod: 2021-09-19 23:43:05
status_changed: 2014-07-14 18:40:18
type: article
metadata_visibility: show
item_issues_count: 0
creators_name: Borgdorff, J
creators_name: Ben Belgacem, M
creators_name: Bona-Casas, C
creators_name: Fazendeiro, L
creators_name: Groen, D
creators_name: Hoenen, O
creators_name: Mizeranschi, A
creators_name: Suter, JL
creators_name: Coster, D
creators_name: Coveney, PV
creators_name: Dubitzky, W
creators_name: Hoekstra, AG
creators_name: Strand, P
creators_name: Chopard, B
title: Performance of distributed multiscale simulations.
ispublished: pub
divisions: UCL
divisions: B04
divisions: C06
divisions: F56
keywords: distributed multiscale computing, multiscale simulation, performance
note: © 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.
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.
date: 2014-08-06
official_url: http://dx.doi.org/10.1098/rsta.2013.0407
vfaculties: VMPS
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
article_type_text: Journal Article
verified: verified_manual
elements_source: PubMed
elements_id: 960703
doi: 10.1098/rsta.2013.0407
pii: rsta.2013.0407
lyricists_name: Coveney, Peter
lyricists_name: Groen, Derk Jan
lyricists_name: Suter, James
lyricists_id: PCOVE58
lyricists_id: DJGRO97
lyricists_id: JSUTE05
full_text_status: public
publication: Philos Trans A Math Phys Eng Sci
volume: 372
number: 2021
event_location: England
issn: 1364-503X
citation:        Borgdorff, J;    Ben Belgacem, M;    Bona-Casas, C;    Fazendeiro, L;    Groen, D;    Hoenen, O;    Mizeranschi, A;                             ... Chopard, B; + view all <#>        Borgdorff, J;  Ben Belgacem, M;  Bona-Casas, C;  Fazendeiro, L;  Groen, D;  Hoenen, O;  Mizeranschi, A;  Suter, JL;  Coster, D;  Coveney, PV;  Dubitzky, W;  Hoekstra, AG;  Strand, P;  Chopard, B;   - view fewer <#>    (2014)    Performance of distributed multiscale simulations.                   Philos Trans A Math Phys Eng Sci , 372  (2021)      10.1098/rsta.2013.0407 <https://doi.org/10.1098/rsta.2013.0407>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/1434531/1/Phil._Trans._R._Soc._A-2014-Borgdorff-.pdf