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University of Illinois at Urbana-Champaign
Soft Error Modeling and Analysis for Microprocessors
Abstract
dc:descriptionTo sum up, this dissertation studies the architecture level soft error modeling and analysis problems. It provides new techniques to examine and take advantage of architecture level soft error behavior. We apply our tool to investigate the impact of technology scaling on soft errors. We also propose an efficient online AVF estimation algorithm.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Computer Science
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2008
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Li, Xiaodong
- Contributors dc:contributor
-
- Adve, Sarita V.
Subjects
dc:subject × 1Rights
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
- (MiAaPQ)AAI3314837
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/81812