A CAM fault-tolerant strategy for multiprocessor by using bloom filter and history lookup table

Mian Lou, Yuanyuan Cui, Xunying Zhang, Jianqing Xiao
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Abstract

A content addressable memory (CAM) like conventional memories can be affected by the occurrence of single event upsets (SEUs) to cause different effects. In this paper, a fault-tolerant strategy proposed at system level can be applied to a CAM used as the coherence directory in the context of multiprocessor. For one thing, with the combined use of an interleaved parity bits protection scheme, a probabilistic structure called Bloom filter is adopted to signal if a given data is presented. Moreover, a novel history lookup table is proposed to compensate the limitation of the Bloom filter used in multiprocessor. It could denote an accurate count of data sharers to check the response of the CAM in conjunction with the Bloom filter. For the different types of errors detected, the proposed strategy further presents the corresponding solutions to maintain coherence amongst the private caches. Simulation results show that, the proposed technique can reduce the incremental execution time by an average 40% at the cost of slightly increased area and power consumption.
基于布隆滤波和历史查找表的多处理机CAM容错策略
与传统存储器一样,内容可寻址存储器(CAM)也会受到单事件干扰(seu)的影响,从而产生不同的效果。本文提出了一种系统级容错策略,可以应用于多处理器环境下作为相干目录的CAM。一方面,结合使用交错奇偶位保护方案,采用一种称为布隆滤波器的概率结构来表示是否存在给定的数据。此外,提出了一种新的历史查找表,以弥补布隆滤波器在多处理器环境下的局限性。它可以表示数据共享器的准确计数,以检查CAM与Bloom过滤器的响应。对于检测到的不同类型的错误,建议的策略进一步提出了相应的解决方案,以保持私有缓存之间的一致性。仿真结果表明,该方法可将增量执行时间平均减少40%,但代价是面积和功耗略有增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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