Use Cases of Computational Reproducibility for Scientific Workflows at Exascale

We propose an approach for improved reproducibility that includes capturing and relating provenance characteristics and performance metrics, in a hybrid queriable system, the ProvEn server. The system capabilities are illustrated on two use cases: scientific reproducibility of results in the ACME cl...

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Bibliographic Details
Published in:arXiv.org 2018-04
Main Authors: Pouchard, Line, Baldwin, Sterling, Elsethagen, Todd, Gamboa, Carlos, Jha, Shantenu, Raju, Bibi, Stephan, Eric, Tang, Li, Kerstin Kleese Van Dam
Format: Article
Language:English
Subjects:
Computer simulation
Hybrid systems
Molecular dynamics
Performance measurement
Reproducibility
Online Access:Get full text
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Summary:We propose an approach for improved reproducibility that includes capturing and relating provenance characteristics and performance metrics, in a hybrid queriable system, the ProvEn server. The system capabilities are illustrated on two use cases: scientific reproducibility of results in the ACME climate simulations and performance reproducibility in molecular dynamics workflows on HPC computing platforms.
ISSN:2331-8422