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Automated design space exploration of transient fault detectable datapath based on user specified power and delay constraints

机译:基于用户指定的功率和延迟约束条件的瞬态故障可检测数据路径的自动设计空间探索

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A novel automated design space exploration (DSE) approach of multi-cycle transient fault detectable datapath based on multi-objective user constraints (power and delay) during high level synthesis (HLS) is presented in this paper. To the best of the authors' knowledge, this is the first work in the literature to solve this problem. The presented approach, driven by bacterial foraging optimization (BFO) algorithm provides easy flexibility to change direction in the design space through tumble/swim actions if a search path is found ineffective. The approach is highly capable of reaching true Pareto optimal region indicated by the closeness of our non-dominated solutions to the true Pareto front and their uniform spreading over the Pareto curve (implying diversity). The contributions of this paper are as follows: a) novel exploration approach for generating high quality transient fault detectable structure based on user provided requirements of power-delay, which is capable of transient error detection; b) novel fault detectable algorithm for handling single and multi-cycle transient faults. The results of the proposed approach indicated an average improvement in Quality of Results (QoR) of >9% and reduction in hardware usage of > 26 % compared to recent approaches that are closer in solving a similar objective.
机译:本文提出了一种在高级综合(HLS)期间基于多目标用户约束(功率和延迟)的多周期瞬态故障可检测数据路径的自动化设计空间探索(DSE)方法。据作者所知,这是文献中解决此问题的第一篇著作。如果发现搜索路径无效,则由细菌觅食优化(BFO)算法驱动的所提出的方法提供了轻松的灵活性,可通过滚转/游泳动作来改变设计空间中的方向。该方法非常有能力达到真实的帕累托最优区域,这是由我们的非支配解与真实帕累托前沿的接近程度以及它们在帕累托曲线上的均匀分布所暗示的(暗示多样性)。本文的贡献如下:a)根据用户提供的对功率延迟的要求生成高品质瞬态故障可检测结构的新颖探索方法,该方法能够进行瞬态错误检测; b)新颖的故障检测算法,用于处理单周期和多周期瞬态故障。与较接近解决类似目标的最新方法相比,该方法的结果表明结果质量(QoR)平均提高了> 9%,硬件使用量减少了> 26%。

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