具有近似感知投票的高可靠近似四模冗余

Mahmoud Masadeh, Alain Aoun, O. Hasan, S. Tahar
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引用次数: 2

摘要

冗余一直是产生容错系统的通用方法。具有多数投票人的三模冗余(TMR)覆盖了100%的单个故障屏蔽,其中最小面积开销为200%。另一方面,近似计算适用于在底层计算中可以容忍错误和不精确的应用程序。因此,不精确的结果可以在提高性能和能效的同时降低计算复杂性和硬件需求。这项工作解释了近似计算如何能够提供低成本的容错架构,并增强系统的可靠性。特别是,我们实现了一种新的四重模块冗余(QMR)设计,除了精确模块外,还使用了三个相同的近似模块。此外,还提出了一种基于两步幅度的选择器,该选择器能够容忍近似误差。为了验证我们的方法,我们进行了实验,结果表明,与传统的TMR相比,该方法能够实现高容错性,即99.88%,同时将系统故障概率降低15%,面积和功耗分别减少62%和49.5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Highly-Reliable Approximate Quadruple Modular Redundancy with Approximation-Aware Voting
Redundancy has been a general method to produce a fault-tolerance system. The Triple Modular Redundancy (TMR) with majority voters covers 100% single fault-masking, where the minimum area overhead is 200%. On the other hand, approximate computing is suitable for applications that can tolerate errors and imprecision in their underlying computations. Thus, inexact results allow reducing the computational complexity and hardware requirements with increased performance and power efficiency. This work explains how approximate computing could provide low-cost fault-tolerant architectures with an enhanced system’s reliability. In particular, we implement a novel Quadruple Modular Redundancy (QMR) designs using three identical approximate modules in addition to the exact module. Moreover, a two-steps magnitude-based voter is proposed to be able to tolerate approximation error. To validate our approach, we conducted experiments and the results showed the ability to achieve high fault tolerance, i.e., 99.88%, while reducing the probability of system failure by 15%, with 62% and 49.5% reduced area and power, respectively, compared to the traditional TMR.
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