活动简介

The growing complexity and shrinking geometries of modern manufacturing technologies are making high-density, low-voltage devices increasingly susceptible to the influences of electrical noise, process variation, transistor aging, and the effects of natural radiation. The system-level impact of these errors can be far-reaching. Growing concern about intermittent errors, unstable storage cells, and the effects of aging are influencing system design and failures in memories account for a significant fraction of costly product returns. Emerging logic and memory device technologies introduce several reliability challenges that need to be addressed to make these technologies viable. Finally, reliability is a key issue for large-scale systems, such as those in data centers. The SELSE workshop provides a forum for discussion of current research and practice in system-level error management. Participants from industry and academia explore both current technologies and future research directions (including nanotechnology). SELSE is soliciting papers that address the system-level effects of errors from a variety of perspectives: architectural, logical, circuit-level, and semiconductor processes. Case studies are also solicited.

征稿信息

重要日期

2017-12-20
摘要截稿日期
2018-01-12
初稿截稿日期
2018-02-16
初稿录用日期
2018-03-01
终稿截稿日期

Key areas of interest are (but not limited to):

  • Technology trends and their impact on error rates.
  • New error mitigation techniques.
  • Error handling protocols (higher-level protocols for robust system design).
  • Characterizing the overhead and design complexity of error mitigation techniques.
  • Case studies describing the tradeoff analysis for reliable systems.
  • System-level models: derating factors and validation of error models.
  • Experimental data on failures in current and emerging technologies
  • Characterization of reliability of systems deployed in the field and mitigation of issues.
  • Software-level impact of hardware failures.
  • Software frameworks for resilience.
  • Impact of machine learning components on system resilience.
  • Resilient accelerator-rich systems.
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重要日期
  • 会议日期

    04月03日

    2018

    04月04日

    2018

  • 12月20日 2017

    摘要截稿日期

  • 01月12日 2018

    初稿截稿日期

  • 02月16日 2018

    初稿录用通知日期

  • 03月01日 2018

    终稿截稿日期

  • 04月04日 2018

    注册截止日期

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