Articles | Volume 11, issue 7
Development and technical paper
13 Jul 2018
Development and technical paper |  | 13 Jul 2018

A run control framework to streamline profiling, porting, and tuning simulation runs and provenance tracking of geoscientific applications

Wendy Sharples, Ilya Zhukov, Markus Geimer, Klaus Goergen, Sebastian Luehrs, Thomas Breuer, Bibi Naz, Ketan Kulkarni, Slavko Brdar, and Stefan Kollet


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Wendy Sharples on behalf of the Authors (29 Jan 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (13 Feb 2018) by Steve Easterbrook
RR by Anonymous Referee #1 (29 Mar 2018)
RR by Anonymous Referee #3 (20 Apr 2018)
ED: Publish subject to minor revisions (review by editor) (08 May 2018) by Steve Easterbrook
AR by Wendy Sharples on behalf of the Authors (23 May 2018)  Author's response    Manuscript
ED: Publish as is (12 Jun 2018) by Steve Easterbrook
Short summary
Next-generation geoscientific models are based on complex model implementations and workflows. Next-generation HPC systems require new programming paradigms and code optimization. In order to meet the challenge of running complex simulations on new massively parallel HPC systems, we developed a run control framework that facilitates code portability, code profiling, and provenance tracking to reduce both the duration and the cost of code migration and development, while ensuring reproducibility.