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A Hybrid Concurrent Error Detection Scheme for Simultaneous Improvement on Probability of Detection and Diagnosability

机译:一种混合并发误差检测方案,用于同时改进检测概率和诊断

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In this work we propose a hybrid concurrent error detection (CED) scheme that combines the implication-based method with the parity check method. The parity check method is easy to implement and has high probability of detecting errors, while the implication-based method has high flexibility to be easily integrated with other CED methods for improving the probability of detecting errors. In addition, fault diagnosis capability can even be enabled by integrating implications. We show that by combining these two methods, not only the probability of detecting errors can be significantly increased, but also the diagnosability of the target circuit can be effectively enhanced. A systematical flow is developed to add the required checking logic of implications into the most appropriate locations in the target circuit for detecting undetected errors by the parity check method. This minimizes the total number of the employed implications and thus the incurred area overhead. The experimental results show that 89.08% of area overhead is required yet the probability of detecting errors is improved from 88.32% to 97.73% by the proposed hybrid scheme. The results also show that the achievable diagnosability of our scheme enhances from 91.79% to 96.36% on average. More than 200 equivalent faults also become distinguishable in our scheme.
机译:在这项工作中,我们提出了一种混合并发错误检测(CED)方案,其将基于逻辑的方法与奇偶校验方法相结合。奇偶校验方法易于实现并且具有高概率检测误差,而基于含义的方法具有高灵活性,可以容易地与其他CED方法集成,以改善检测误差的概率。此外,甚至可以通过整合含义来实现故障诊断功能。我们表明,通过组合这两种方法,不仅可以显着增加检测误差的概率,而且可以有效地增强目标电路的诊断性。开发系统流量以将所需的检查逻辑添加到目标电路中最合适的位置,以通过奇偶校验方法检测未检测到的错误。这最大限度地减少了所采用的含义的总数,从而最大限度地产生所产生的区域开销。实验结果表明,需要89.08%的面积开销,但检测误差的可能性从提出的杂交方案的88.32%提高到97.73%。结果还表明,我们的计划可实现的可判断性平均增强91.79%至96.36%。我们的计划中有超过200个等同的故障也变得可区分。

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