TY - GEN
T1 - AgeOpt-RMT
T2 - 53rd ACM/EDAC/IEEE Design Automation Conference, DAC 2016
AU - Knebel, Florian
AU - Rehman, Semeen
AU - Shafique, Muhammad
AU - Henkel, Jorg
N1 - Publisher Copyright:
© 2016 IEEE.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016/8/15
Y1 - 2016/8/15
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84985897967&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84985897967&partnerID=8YFLogxK
U2 - 10.1145/2897937.2897980
DO - 10.1145/2897937.2897980
M3 - Conference contribution
AN - SCOPUS:84985897967
T3 - Proceedings - Design Automation Conference
BT - Proceedings of the 2016 53rd ACM/EDAC/IEEE Design Automation Conference, DAC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 5 June 2016 through 9 June 2016
ER -