A Supply Voltage-dependent Variation Aware Reliability Evaluation Model

Bo Yang, Emanuel Popovici, Michael Alan Quille, Andreas Amann, Sorin Cotofana

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

2 Citations (Scopus)

Abstract

With the continuous scaling of CMOS VLSI technology well into the nano-meter regime, and the increasing demand for ultra low power/low voltage circuits and systems, reliability is becoming an extra design optimisation goal in addition to
size, performance, and energy. In this paper, a supply voltage Vdd-) dependent, transistor threshold voltage variation aware propagation delay estimation model and a comprehensive statistical model to evaluate the reliability of the VLSI
circuits is proposed. This accurate Vdd-dependent reliability evaluation model can be applied in the process of reliability driven multi-objective optimisation, which deals with tradeoffs between reliability, area, performance and energy. The
experimental results show that the average estimation error is within 3% when compared to Monte-Carlo SPICE simulation while saving runtime by at least 100 times for generic enchmark circuits.


Original languageEnglish
Title of host publication2016 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH)
EditorsW. Zhao, C.A. Moritz
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages79-84
Number of pages6
ISBN (Electronic)978-1-4503-4330-5
ISBN (Print)978-1-4673-8927-3
DOIs
Publication statusPublished - 2016
Event2016 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH) - Beijing, China
Duration: 18 Jul 201620 Jul 2016

Conference

Conference2016 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH)
Abbreviated titleNANOARCH 2016
CountryChina
CityBeijing
Period18/07/1620/07/16

Keywords

  • Statistical Timing Analysis
  • Delay Estimation
  • Delay PDF Propagation
  • Reliability
  • VLSI

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  • Cite this

    Yang, B., Popovici, E., Quille, M. A., Amann, A., & Cotofana, S. (2016). A Supply Voltage-dependent Variation Aware Reliability Evaluation Model. In W. Zhao, & C. A. Moritz (Eds.), 2016 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH) (pp. 79-84). Association for Computing Machinery (ACM). https://doi.org/10.1145/2950067.2950089