AgeOpt-RMT: Compiler-driven variation-aware aging optimization for redundant multithreading

Florian Knebel, Semeen Rehman, Muhammad Shafique, Jorg Henkel

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Reliability optimization in the nano-era needs to account for multiple reliability concerns. Redundant Multithreading (RMT) has emerged as a promising technique to mitigate soft-errors in multi-cores. Since variation- and aging-unawareness during RMT may increase aging of slow cores due to high utilization or lead to unbalanced aging under varying workload scenarios, we propose to leverage variations in vulnerability and duty cycle by means of multiple compiled versions. We perform variation-aware task mapping to proactively reduce the aging of slower cores and thereby maintaining the minimum processing capabilities. Afterwards, we perform an aging-aware activation/deactivation of RMT considering tasks' variable resilience properties and select appropriate reliable versions for the mapped tasks. Experimental results demonstrate that compared to state-of-the-art aging-unaware RMT techniques, our ageOpt-RMT provides improved and balanced aging profiles by 2x on average.

Original languageEnglish (US)
Title of host publicationProceedings of the 2016 53rd ACM/EDAC/IEEE Design Automation Conference, DAC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467387293
StatePublished - Aug 15 2016
Event53rd ACM/EDAC/IEEE Design Automation Conference, DAC 2016 - Austin, United States
Duration: Jun 5 2016Jun 9 2016

Publication series

NameProceedings - Design Automation Conference
ISSN (Print)0738-100X


Conference53rd ACM/EDAC/IEEE Design Automation Conference, DAC 2016
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modeling and Simulation


Dive into the research topics of 'AgeOpt-RMT: Compiler-driven variation-aware aging optimization for redundant multithreading'. Together they form a unique fingerprint.

Cite this