Position Paper: Applying Machine Learning to Software Analysis to Achieve Trusted, Repeatable Scientific Computing

Conference · Thu Jan 01 04:00:00 EST 2015

OSTI ID:1265800

Prowell, Stacy J ^[1]; Symons, Christopher T ^[1]

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1. ORNL

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.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1265800
• Country of Publication: United States
• Language: English