Evidence map›Paper›PMID 24982258›Full record

ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2014

Performance of distributed multiscale simulations.

J Borgdorff, M Ben Belgacem, C Bona-Casas, L Fazendeiro, D Groen, O Hoenen, A Mizeranschi, J L Suter, D Coster, P V Coveney and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Multiscale computing for science and engineering in the era of exascale performance.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2019
    Article
  3. Article
  4. Towards the virtual artery: a multiscale model for vascular physiology at the physics-chemistry-biology interface.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2016
    Article
  5. Article
  6. A framework for multi-scale modelling.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2014
    Article
  7. Multiscale modelling: approaches and challenges.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2014
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

J BorgdorffComputational Science, Informatics Institute, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands j.borgdorff@uva.nl.
M Ben BelgacemComputer Science Department, University of Geneva, 1227 Carouge, Switzerland.
C Bona-CasasDepartment of Applied Mathematics, University of A Coruña, 15001 A Coruña, Spain.
L FazendeiroDepartment of Earth and Space Sciences, Chalmers University of Technology, 41296 Göteborg, Sweden.
D GroenCentre for Computational Science, University College London, 20 Gordon Street, London WC1H OAJ, UK.
O HoenenMax-Planck-Institut für Plasmaphysik, 85748 Garching, Germany.
A MizeranschiNano Systems Biology, School of Biomedicine, University of Ulster, Coleraine BTS2 1SA, UK.
J L SuterCentre for Computational Science, University College London, 20 Gordon Street, London WC1H OAJ, UK.
D CosterMax-Planck-Institut für Plasmaphysik, 85748 Garching, Germany.
P V CoveneyCentre for Computational Science, University College London, 20 Gordon Street, London WC1H OAJ, UK.
W DubitzkyNano Systems Biology, School of Biomedicine, University of Ulster, Coleraine BTS2 1SA, UK.
A G HoekstraComputational 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.
P StrandDepartment of Earth and Space Sciences, Chalmers University of Technology, 41296 Göteborg, Sweden.
B ChopardComputer Science Department, University of Geneva, 1227 Carouge, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AlgorithmsModels, BiologicalSoftwareSoftware DesignComputer SimulationSystems Integrationdistributed multiscale computingmultiscale simulationperformance

Identifiers

PMID24982258
PMCPMC4084531

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.