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Towards Aging-Induced Approximations

  • Humanoid Technologies Lab (H2T)
  • Sharif University of Technology
  • University of Texas at Austin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

33 Scopus citations

Abstract

In recent technology nodes, wide guardbands are needed to overcome reliability degradations due to aging. Such guardbands manifest as reduced efficiency and performance. Existing approaches to reduce guardbands trade off aging impact for increased circuit overhead. By contrast, the goal of this work is to completely remove guardbands through exploring, for the first time, application of approximate computing principles in the context of aging. As a result of naively narrowing or removing guardbands, timing errors start to appear as transistors age. We demonstrate that even in circuits that may tolerate errors, aging can be catastrophic due to unacceptable quality loss. Furthermore, quantifying such aging-induced quality loss necessitates expensive (often infeasible) gate-level simulations of the complete design. We show how nondeterministic aging-induced timing errors can be converted into deterministic and controlled approximations instead. We first translate the required guardband over time into an equivalent reduction in precision for individual RTL components. We then demonstrate how, based on pre-characterization of RTL components, we can quantify aging-induced approximation at the whole microarchitecture level without the need for further gate-level simulations. Results show that a 3 bit reduction in precision is sufficient to sustain 10 years of operation under worst-case aging in the context of an image processing circuit. This corresponds to an acceptable PSNR reduction of merely 8 dB, while at the same time increasing area and energy efficiency by 13%.

Original languageEnglish
Title of host publicationProceedings of the 54th Annual Design Automation Conference 2017, DAC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781450349277
DOIs
StatePublished - 18 Jun 2017
Externally publishedYes
Event54th Annual Design Automation Conference, DAC 2017 - Austin, United States
Duration: 18 Jun 201722 Jun 2017

Publication series

NameProceedings - Design Automation Conference
VolumePart 128280
ISSN (Print)0738-100X

Conference

Conference54th Annual Design Automation Conference, DAC 2017
Country/TerritoryUnited States
CityAustin
Period18/06/1722/06/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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