Articles | Volume 15, issue 17
Geosci. Model Dev., 15, 6695–6708, 2022
https://doi.org/10.5194/gmd-15-6695-2022
Geosci. Model Dev., 15, 6695–6708, 2022
https://doi.org/10.5194/gmd-15-6695-2022
Methods for assessment of models
05 Sep 2022
Methods for assessment of models | 05 Sep 2022

Characterizing uncertainties of Earth system modeling with heterogeneous many-core architecture computing

Yangyang Yu et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2022-71', Anonymous Referee #1, 23 May 2022
    • AC1: 'Reply on RC1', Yangyang Yu, 08 Jul 2022
  • RC2: 'Comment on gmd-2022-71', Peter Düben, 28 May 2022
    • AC2: 'Reply on RC2', Yangyang Yu, 08 Jul 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Yangyang Yu on behalf of the Authors (08 Jul 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (09 Aug 2022) by James Kelly
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Short summary
To understand the scientific consequence of perturbations caused by slave cores in heterogeneous computing environments, we examine the influence of perturbation amplitudes on the determination of the cloud bottom and cloud top and compute the probability density function (PDF) of generated clouds. A series of comparisons of the PDFs between homogeneous and heterogeneous systems show consistently acceptable error tolerances when using slave cores in heterogeneous computing environments.