Abstract:
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 effor...Show MoreMetadata
Abstract:
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.
Published in: Computing in Science & Engineering ( Volume: 23, Issue: 5, 01 Sept.-Oct. 2021)
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- IEEE Keywords
- Index Terms
- High-performance Computing ,
- Community Survey Results ,
- Engineering Research ,
- Programming Techniques ,
- Scientific Integrity ,
- Scientific Impact ,
- Research Results ,
- Artificial Intelligence ,
- Consistent Results ,
- Process Evaluation ,
- Computer Science ,
- August 2020 ,
- Scientific Practice ,
- Original Authors ,
- Technical Documentation ,
- Research Transparency ,
- Reproducibility Issues ,
- Demographic Responses ,
- Level Of Rigor ,
- Reproducible Science ,
- Transparent Practices
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- High-performance Computing ,
- Community Survey Results ,
- Engineering Research ,
- Programming Techniques ,
- Scientific Integrity ,
- Scientific Impact ,
- Research Results ,
- Artificial Intelligence ,
- Consistent Results ,
- Process Evaluation ,
- Computer Science ,
- August 2020 ,
- Scientific Practice ,
- Original Authors ,
- Technical Documentation ,
- Research Transparency ,
- Reproducibility Issues ,
- Demographic Responses ,
- Level Of Rigor ,
- Reproducible Science ,
- Transparent Practices