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.
Viewed  
Total article views: 1,453 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
973 397 83 1,453 81 98
  • HTML: 973
  • PDF: 397
  • XML: 83
  • Total: 1,453
  • BibTeX: 81
  • EndNote: 98
Views and downloads (calculated since 28 Jan 2016)
Cumulative views and downloads (calculated since 28 Jan 2016)
Cited  
Saved (final revised paper)  
No saved metrics found.
Saved (discussion paper)  
No saved metrics found.
Discussed (final revised paper)  
No discussed metrics found.
Discussed (discussion paper)  
No discussed metrics found.
Latest update: 13 Nov 2019
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