Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.154 IF 5.154
  • IF 5-year value: 5.697 IF 5-year
    5.697
  • CiteScore value: 5.56 CiteScore
    5.56
  • SNIP value: 1.761 SNIP 1.761
  • IPP value: 5.30 IPP 5.30
  • SJR value: 3.164 SJR 3.164
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 59 Scimago H
    index 59
  • h5-index value: 49 h5-index 49
Volume 9, issue 9
Geosci. Model Dev., 9, 3483–3491, 2016
https://doi.org/10.5194/gmd-9-3483-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: The Modular Earth Submodel System (MESSy) (ACP/GMD inter-journal...

Geosci. Model Dev., 9, 3483–3491, 2016
https://doi.org/10.5194/gmd-9-3483-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Development and technical paper 29 Sep 2016

Development and technical paper | 29 Sep 2016

Earth system modelling on system-level heterogeneous architectures: EMAC (version 2.42) on the Dynamical Exascale Entry Platform (DEEP)

Michalis Christou et al.
Download
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Theodoros Christoudias on behalf of the Authors (30 May 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (25 Aug 2016) by Didier Roche
RR by Anonymous Referee #1 (25 Aug 2016)
ED: Publish subject to technical corrections (15 Sep 2016) by Didier Roche
Publications Copernicus
Download
Short summary
We examine an alternative approach to heterogeneous cluster-computing for Earth system models, using the EMAC model as a pilot application on the Dynamical Exascale Entry Platform (DEEP). A set of autonomous interconnected coprocessors complements a conventional HPC cluster to increase computing performance and offer extra flexibility to expose multiple levels of parallelism and achieve better scalability, towards exploiting the potential of a fully Exascale-capable platform.
We examine an alternative approach to heterogeneous cluster-computing for Earth system models,...
Citation