Longevity Framework: Leveraging Online Integrated Aging-Aware Hierarchical Mapping and VF-Selection for Lifetime Reliability Optimization in Manycore Processors

Vijeta Rathore, Vivek Chaturvedi, Amit K. Singh, Thambipillai Srikanthan, Muhammad Shafique

Research output: Contribution to journalArticlepeer-review

Abstract

Rapid device aging in the nano era threatens system lifetime reliability, posing a major intrinsic threat to system functionality. Traditional techniques to overcome the aging-induced device slowdown, such as guardbanding are static and incur performance, power, and area penalties. In a manycore processor, the system-level design abstraction offers dynamic opportunities through the control of task-to-core mappings and per-core operation frequency towards more balanced core aging profile across the chip, optimizing the system lifetime reliability while meeting the application performance requirements. This article presents Longevity Framework (LF) that leverages online integrated aging-aware hierarchical mapping and voltage frequency (VF)-selection for lifetime reliability optimization in manycore processors. The mapping exploration is hierarchical to achieve scalability. The VF-selection builds on the trade-offs involved between power, performance, and aging as the VF is scaled while leveraging the per-core DVFS capabilities. The methodology takes the chip-wide process variation into account. Extensive experimentation, comparing the proposed approach with two state-of-the-art methods, for 64-core and 256-core systems running applications from PARSEC and SPLASH-2 benchmark suites, show an improvement of up to 3.2 years in the system lifetime reliability and 4× improvement in the average core health.

Original languageEnglish (US)
Article number9132642
Pages (from-to)1106-1119
Number of pages14
JournalIEEE Transactions on Computers
Volume70
Issue number7
DOIs
StatePublished - Jul 1 2021

Keywords

  • aging
  • DVFS
  • Lifetime reliability
  • manycore systems
  • optimization
  • process variation

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computational Theory and Mathematics

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