Position Paper: Applying Machine Learning to Software Analysis to Achieve Trusted, Repeatable Scientific Computing
Producing trusted results from high-performance codes is essential for policy and has significant economic impact. We propose combining rigorous analytical methods with machine learning techniques to achieve the goal of repeatable, trustworthy scientific computing.
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- Resource Relation:
- Conference: ASCR Cybersecurity Workshop 2, Arlington, VA, USA, 20150602, 20150603
- Research Org:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
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- Country of Publication:
- United States
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