Reproducibility Practice in High-Performance Computing: Community Survey Results

Reproducibility Practice in High-Performance Computing: Community Survey Results
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高性能计算中的可重复性实践:社区调查结果

DOI:
10.1109/mcse.2021.3096678
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发表时间:
2021
影响因子:
2.1
通讯作者:
Pouchard, Line C.
Pouchard, Line C.
中科院分区:
计算机科学4区
文献类型:
--
作者:
Plale, Beth A.;Malik, Tanu;Pouchard, Line C.

文献摘要

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科学和工程研究的完整性是建立在从事这种研究的人的严谨性和透明度的假设基础上的。HPC社区努力加强严格性和透明度,采取可重复性努力的形式。在最近对SC会议社区的调查中,我们收集了有关SC再现性倡议活动的信息。我们在这篇文章中介绍了调查结果。结果表明,再现性倡议活动有助于提高SC会议技术项目参与者的认识水平,并暗示有助于提高SC会议系列发表论文的科学影响力。由于我们指出的原因,严格的副本提交点验证是有问题的,因为HPC中计算再现性的固有困难。未来的努力应该更好地将社区教育目标与通过5-10年后的重用来具体加强研究工作长期影响潜力的目标分离开来。
The integrity of science and engineering research is grounded in assumptions of rigor and transparency on the part of those engaging in such research. HPC community effort to strengthen rigor and transparency take the form of reproducibility efforts. In a recent survey of the SC conference community, we collected information about the SC reproducibility initiative activities. We present the survey results in this article. Results show that the reproducibility initiative activities have contributed to higher levels of awareness on the part of SC conference technical program participants, and hint at contributing to greater scientific impact for the published papers of the SC conference series. Stringent point-of-manuscript-submission verification is problematic for reasons we point out, as are inherent difficulties of computational reproducibility in HPC. Future efforts should better decouple the community educational goals from goals that specifically strengthen a research work’s potential for long-term impact through reuse 5–10 years down the road.
DOI: 10.1109/mcse.2020.3048406
发表时间: 2021-01
影响因子: 2.1
作者:
通讯作者: --
大规模计算科学中的透明度和可重复性实践:特别部分的前言
DOI: 10.1109/tpds.2021.3058393
发表时间: 2021
期刊: IEEE Trans. Parallel Distributed Syst.
影响因子: --
作者:
Beth Plale;Stephen Lien Harrell
通讯作者: Stephen Lien Harrell
极端规模的科学工作流程的计算再现性
DOI: 10.1177/1094342019839124
发表时间: 2019
期刊: The International Journal of High Performance Computing Applications
影响因子: --
作者:
Line C. Pouchard;Sterling Baldwin;Todd O. Elsethagen;S. Jha;B. Raju;E. Stephan;L. Tang;K. K. van Dam
通讯作者: K. K. van Dam