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GemV: A Validated Micro-architecture Vulnerability Estimation Tool


Abstract Several decades of transistor technology scaling has brought the threat of soft errors to modern embedded processors. Several techniques have been proposed to protect these systems from soft errors. However, their effectiveness in protecting the computation cannot be ascertained without accurate and quantitative estimation of system reliability. Vulnerability -- a metric that defines the probability of system-failure (reliability) through analytical models -- is the most effective mechanism for our current estimation and early design space exploration needs. Previous vulnerability estimation tools are based around the Sim-Alpha simulator which has been to shown to have several limitations. In this thesis, I present gemV: an accurate and com... (more)
Created Date 2016
Contributor Tanikella, Srinivas Karthik (Author) / Shrivastava, Aviral (Advisor) / Bazzi, Rida (Committee member) / Wu, Carole-Jean (Committee member) / Arizona State University (Publisher)
Subject Computer science / Reliability / Soft errors / Vulnerabillity
Type Masters Thesis
Extent 35 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note Masters Thesis Computer Science 2016
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis