Back to results

University of Illinois at Urbana-Champaign

Architectural Techniques to Mitigate the Effect of Spatial and Temporal Variations in Processors

Abstract

dc:description

To address this problem, we show how to hide the effects of aging and slow it down. Our framework is called Facelift. It hides aging through aging-driven application scheduling. It slows down aging by applying voltage changes at key times---it uses a non-linear optimization algorithm to carefully balance the impact on the aging rate and on the critical path delays. Moreover, it can gainfully configure the chip for a short lifetime. We can take a multicore with a 7-year lifetime and, by hiding and slowing down aging, enable it to cycle, on average, at a 14--15% higher frequency. Alternatively, we can design a multicore for a 5 to 7-month lifetime and use it for 7 years.

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
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Tiwari, Abhishek
Contributors dc:contributor
  • Torrellas, Josep

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI3337941
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/81837

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Tiwari, Abhishek. Architectural Techniques to Mitigate the Effect of Spatial and Temporal Variations in Processors. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/81837