Improved monitoring-path selection algorithm for suspicious timing error prediction based timing speculation

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    As process technology is scaling down, timing speculation techniques such as Razor and STEP are emerged as alternative solutions to reduce required margins due to various variation effects. Unlike Razor, STEP is a prediction-based timing speculation method to predict suspicious timing errors before they really appear, and thus it can result in more performance improvement. Therefore, an improved monitoring-path selection algorithm for STEP-based timing speculation is proposed in this paper, in which candidate monitoring-paths are selected based on short path removement and path length estimation. Experimental results show that the proposed algorithm realizes an average of 1.71X overclocking compared with worst-case based designs.

    Original languageEnglish
    Title of host publicationProceedings - 2015 IEEE 11th International Conference on ASIC, ASICON 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781479984831
    DOIs
    Publication statusPublished - 2016 Jul 19
    Event11th IEEE International Conference on Advanced Semiconductor Integrated Circuits (ASIC), ASICON 2015 - Chengdu, China
    Duration: 2015 Nov 32015 Nov 6

    Other

    Other11th IEEE International Conference on Advanced Semiconductor Integrated Circuits (ASIC), ASICON 2015
    CountryChina
    CityChengdu
    Period15/11/315/11/6

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    ASJC Scopus subject areas

    • Hardware and Architecture
    • Electrical and Electronic Engineering

    Cite this

    Yoshida, S., Shi, Y., Yanagisawa, M., & Togawa, N. (2016). Improved monitoring-path selection algorithm for suspicious timing error prediction based timing speculation. In Proceedings - 2015 IEEE 11th International Conference on ASIC, ASICON 2015 [7516962] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASICON.2015.7516962