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One Bit is (Not) Enough: An Empirical Study of the Impact of Single and Multiple Bit-Flip Errors

机译:一个位(不足)足够:单次和多次翻转的影响的实证研究

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Recent studies have shown that technology and voltage scaling are expected to increase the likelihood that particle-induced soft errors manifest as multiple-bit errors. This raises concerns about the validity of using single bit-flips for assessing the impact of soft errors in fault injection experiments. The goal of this paper is to investigate whether multiple-bit errors could cause a higher percentage of silent data corruptions (SDCs) compared to single-bit errors. Based on 2700 fault injection campaigns with 15 benchmark programs, featuring a total of 27 million experiments, our results show that single-bit errors in most cases yields a higher percentage of SDCs compared to multiple-bit errors. However, in 8% of the campaigns we observed a higher percentage of SDCs for multiple-bit errors. For most of these campaigns, the highest percentage of SDCs was obtained by flipping at most 3 bits. Moreover, we propose three ways of pruning the error space based on the results.
机译:最近的研究表明,技术和电压缩放有望增加粒子引起的软错误表现为多位错误的可能性。这引起了对使用单个位翻转评估故障注入实验中的软错误影响的有效性的关注。本文的目的是研究与单位错误相比,多位错误是否会导致更高百分比的静默数据损坏(SDC)。基于2700个故障注入活动和15个基准程序,总共进行了2700万次实验,我们的结果表明,与多位错误相比,大多数情况下单位错误产生的SDC百分比更高。但是,在8%的广告系列中,我们发现多位错误的SDC比例更高。对于大多数此类活动,最多翻转3位即可获得SDC的最高百分比。此外,我们根据结果提出了三种修剪错误空间的方法。

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