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

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.

Authors:
 [1];  [1]
  1. ORNL
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1265800
DOE Contract Number:
AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: ASCR Cybersecurity Workshop 2, Arlington, VA, USA, 20150602, 20150603
Country of Publication:
United States
Language:
English

Citation Formats

Prowell, Stacy J, and Symons, Christopher T. Position Paper: Applying Machine Learning to Software Analysis to Achieve Trusted, Repeatable Scientific Computing. United States: N. p., 2015. Web.
Prowell, Stacy J, & Symons, Christopher T. Position Paper: Applying Machine Learning to Software Analysis to Achieve Trusted, Repeatable Scientific Computing. United States.
Prowell, Stacy J, and Symons, Christopher T. Thu . "Position Paper: Applying Machine Learning to Software Analysis to Achieve Trusted, Repeatable Scientific Computing". United States. doi:. https://www.osti.gov/servlets/purl/1265800.
@article{osti_1265800,
title = {Position Paper: Applying Machine Learning to Software Analysis to Achieve Trusted, Repeatable Scientific Computing},
author = {Prowell, Stacy J and Symons, Christopher T},
abstractNote = {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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Jan 01 00:00:00 EST 2015},
month = {Thu Jan 01 00:00:00 EST 2015}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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