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Workload assignment considering NBTI degradation in multicore systems

Workload assignment considering NBTI degradation in multicore systems Workload Assignment Considering NBTI Degradation in Multicore Systems JIN SUN and ROMAN LYSECKY, The University of Arizona KARTHIK SHANKAR, University of Texas at Austin AVINASH KODI, Ohio University AHMED LOURI and JANET ROVEDA, The University of Arizona With continuously shrinking technology, reliability issues such as Negative Bias Temperature Instability (NBTI) has resulted in considerable degradation of device performance, and eventually the short mean-timeto-failure (MTTF) of the whole multicore system. This article proposes a new workload balancing scheme based on device-level fractional NBTI model to balance the workload among active cores while relaxing stressed ones. Starting with NBTI-induced threshold voltage degradation, we define a concept of Capacity Rate (CR) as an indication of one core's ability to accept workload. Capacity rate captures core's performance variability in terms of delay and power metrics under the impact of NBTI aging. The proposed workload balancing framework employs the capacity rates as workload constraints, applies a Dynamic Zoning (DZ) algorithm to group cores into zones to process task flows, and then uses Dynamic Task Scheduling (DTS) to allocate tasks in each zone with balanced workload and minimum communication cost. Experimental results on a 64-core system show that by allowing a small part of http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Journal on Emerging Technologies in Computing Systems (JETC) Association for Computing Machinery

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References (40)

Publisher
Association for Computing Machinery
Copyright
Copyright © 2014 by ACM Inc.
ISSN
1550-4832
DOI
10.1145/2539124
Publisher site
See Article on Publisher Site

Abstract

Workload Assignment Considering NBTI Degradation in Multicore Systems JIN SUN and ROMAN LYSECKY, The University of Arizona KARTHIK SHANKAR, University of Texas at Austin AVINASH KODI, Ohio University AHMED LOURI and JANET ROVEDA, The University of Arizona With continuously shrinking technology, reliability issues such as Negative Bias Temperature Instability (NBTI) has resulted in considerable degradation of device performance, and eventually the short mean-timeto-failure (MTTF) of the whole multicore system. This article proposes a new workload balancing scheme based on device-level fractional NBTI model to balance the workload among active cores while relaxing stressed ones. Starting with NBTI-induced threshold voltage degradation, we define a concept of Capacity Rate (CR) as an indication of one core's ability to accept workload. Capacity rate captures core's performance variability in terms of delay and power metrics under the impact of NBTI aging. The proposed workload balancing framework employs the capacity rates as workload constraints, applies a Dynamic Zoning (DZ) algorithm to group cores into zones to process task flows, and then uses Dynamic Task Scheduling (DTS) to allocate tasks in each zone with balanced workload and minimum communication cost. Experimental results on a 64-core system show that by allowing a small part of

Journal

ACM Journal on Emerging Technologies in Computing Systems (JETC)Association for Computing Machinery

Published: Jan 1, 2014

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