...
首页> 外文期刊>IEEE transactions on very large scale integration (VLSI) systems >Trading off transient fault tolerance and power consumption in deep submicron (DSM) VLSI circuits
【24h】

Trading off transient fault tolerance and power consumption in deep submicron (DSM) VLSI circuits

机译:在深亚微米(DSM)VLSI电路中权衡瞬态容错能力和功耗

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

High fault tolerance for transient faults and low-power consumption are key objectives in the design of critical embedded systems. Systems like smart cards, PDAs, wearable computers, pacemakers, defibrillators, and other electronic gadgets must not only be designed for fault tolerance but also for ultra-low-power consumption due to limited battery life. In this paper, a highly accurate method of estimating fault tolerance in terms of mean time to failure (MTTF) is presented. The estimation is based on circuit-level simulations (HSPICE) and uses a double exponential current-source fault model. Using counters, it is shown that the transient fault tolerance and power dissipation of low-power circuits are at odds and allow for a power fault-tolerance tradeoff. Architecture and circuit level fault tolerance and low-power techniques are used to demonstrate and quantify this tradeoff. Estimates show that incorporation of these techniques results either in a design with an MTTF of 36 years and power consumption of 102 ΜW or a design with an MTTF of 12 years and power consumption of 20 ΜW. Depending on the criticality of the system and the power budget, certain techniques might be preferred over others, resulting in either a more fault tolerant or a lower power design, at the sacrifice of the alternative objective.
机译:瞬态故障的高容错能力和低功耗是关键嵌入式系统设计的关键目标。智能卡,PDA,可穿戴计算机,起搏器,除纤颤器和其他电子产品等系统不仅必须设计为具有容错能力,而且还必须由于电池寿命有限而实现超低功耗。本文提出了一种基于平均故障时间(MTTF)估算容错能力的高精度方法。该估计基于电路级仿真(HSPICE),并使用双指数电流源故障模型。使用计数器表明,低功率电路的瞬态容错能力和功耗是矛盾的,并且需要权衡容错能力。架构和电路级的容错能力以及低功耗技术被用来证明和量化这种折衷。估计表明,这些技术的结合导致MTTF为36年,功耗为102兆瓦的设计或MTTF为12年,功耗为20兆瓦的设计。取决于系统的关键性和功率预算,某些技术可能比其他技术更可取,从而导致了更高的容错能力或更低的功率设计,而牺牲了替代目标。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号