- By:
- Prowell, Stacy J; Symons, Christopher T
- Publication Date:
- September 16, 2015
- Conference Name:
- ASCR Cybersecurity Workshop 2
- Conference Location:
- Arlington, Virginia, United States of America
- Conference Sponsor:
- DOE Office of Science
Abstract
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.