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CE-Based Optimization for Real-time System Availability under Learned Soft Error Rate

  • Liying Li
  • , Tongquan Wei*
  • , Junlong Zhou
  • , Mingsong Chen
  • , Xiaobo Sharon Hu
  • *此作品的通讯作者
  • East China Normal University
  • Nanjing University of Science and Technology
  • University of Notre Dame

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

As the density of integrated circuits continues to increase, the possibility that real-time systems suffer from transient and permanent failures rises significantly, resulting in a degraded availability of system functionality. In this paper, we investigate the dynamic modeling of transient failure rate based on Back Propagation (BP) neural network, and propose an optimization strategy for system availability based on Cross Entropy (CE). Specifically, the neural network is trained using cross-layer simulation data obtained from SPICE simulation while the CE-based optimization for system functionality availability is achieved by judiciously selecting an optimal supply voltage for processors under timing constraints. Simulation results show that the proposed method can achieve system availability improvement of up to 32% compared to benchmarking methods.

源语言英语
主期刊名Proceedings of the 2019 Design, Automation and Test in Europe Conference and Exhibition, DATE 2019
出版商Institute of Electrical and Electronics Engineers Inc.
1331-1336
页数6
ISBN(电子版)9783981926323
DOI
出版状态已出版 - 14 5月 2019
活动22nd Design, Automation and Test in Europe Conference and Exhibition, DATE 2019 - Florence, 意大利
期限: 25 3月 201929 3月 2019

出版系列

姓名Proceedings of the 2019 Design, Automation and Test in Europe Conference and Exhibition, DATE 2019

会议

会议22nd Design, Automation and Test in Europe Conference and Exhibition, DATE 2019
国家/地区意大利
Florence
时期25/03/1929/03/19

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