Verifying quantitative reliability for programs that execute on unreliable hardware

Emerging high-performance architectures are anticipated to contain unreliable components that may exhibit soft errors, which silently corrupt the results of computations. Full detection and masking of soft errors is challenging, expensive, and, for some applications, unnecessary. For example, approx...

Full description

Bibliographic Details
Main Authors: Misailovic, Sasa (Contributor), Rinard, Martin C. (Contributor), Carbin, Michael James (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Association for Computing Machinery (ACM), 2015-02-06T15:14:44Z.
Subjects:
Online Access:Get fulltext