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This repository contains a beta Collective Knowledge workflow to automate installation, execution, customization and validation of the SeisSol application from the Student Cluster Competition Reproducibility Challenge at Supercomputing'18 across different platforms, environments and datasets. It supports our long-term community initiative to improve reproducibility of experimental results from published papers, automate artifact evaluation, and help the community share code, data and workflows as reusable components! Documentation: github.com/ctuning/ck-scc18/wiki
{"references": ["Uphoff, Carsten et.al. (2017). Extreme scale multi-physics simulations of the tsunamigenic 2004 sumatra megathrust earthquake. Supercomputing 2017.", "Fursin, Grigori et.al.(2016). Collective Knowledge: Towards R&D sustainability. DATE 2016: 864-869"]}
Supercomputing'18, Student Cluster Competition, Research Automation, Reproducibility Challenge, Artifact Reusability, Artifact Evaluation, Collective Knowledge Workflow
Supercomputing'18, Student Cluster Competition, Research Automation, Reproducibility Challenge, Artifact Reusability, Artifact Evaluation, Collective Knowledge Workflow
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 9 |

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