Quantifying Uncertainty in Emulations (LDRD Report)

Technical Report · Tue Oct 01 04:00:00 EDT 2019

DOI:https://doi.org/10.2172/1571878· OSTI ID:1571878

Crussell, Jonathan ^[1]; Brown, Aaron ^[1]; Jennings, Jeremy Kyle ^[1]; Kavaler, David ^[1]; Kroeger, Thomas M. ^[1]; Phillips, Cynthia A. ^[2]

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1. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

This report summarizes the work performed under the project “Quantifying Uncertainty in Emulations.” Emulation can be used to model real-world systems, typically using virtualization to run the real software on virtualized hardware. Emulations are increasingly used to answer mission-oriented questions, but how well they represent the real-world systems is still an open area of research. The goal of the project was to quantify where and how emulations differ from the real world. To do so, we ran a representative workload on both, and collected and compared metrics to identify differences. We aimed to capture behaviors, rather than performance, differences as the latter is more well-understood in the literature.

• Research Organization: Sandia National Laboratories (SNL-CA), Livermore, CA (United States); Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• DOE Contract Number: AC04-94AL85000; NA0003525
• OSTI ID: 1571878
• Report Number(s): SAND--2019-12785; 680622
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING