澳门:基于马尔可夫模型的单位和多位故障下高速缓存可靠性评估

Jinho Suh, M. Annavaram, M. Dubois
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引用次数: 33

摘要

由于单事件扰流(SEU)可能导致空间多比特扰流(MBUs)的趋势日益增长,空间MBUs的影响最近成为一个重要但非常具有挑战性的问题,特别是在受保护代码保护的大型最后一级缓存(llc)中。在存在空间mbu的情况下,保护码的强度成为一个关键的设计问题。建立一个包含重叠SBUs、时间MBUs和空间MBUs累积效应的可靠性模型是一个非常具有挑战性的问题,特别是当保护代码处于激活状态时。在本文中,我们引入了一个名为澳门的新框架。澳门是基于马尔可夫链模型,可以计算擦洗缓存的内在mttf,以及受各种代码保护的基准缓存。澳门是第一个量化由于SBUs、时间MBUs和空间MBUs的综合影响而导致的缓存故障率的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MACAU: A Markov model for reliability evaluations of caches under Single-bit and Multi-bit Upsets
Due to the growing trend that a Single Event Upset (SEU) can cause spatial Multi-Bit Upsets (MBUs), the effects of spatial MBUs has recently become an important yet very challenging issue, especially in large, last-level caches (LLCs) protected by protection codes. In the presence of spatial MBUs, the strength of the protection codes becomes a critical design issue. Developing a reliability model that includes the cumulative effects of overlapping SBUs, temporal MBUs and spatial MBUs is a very challenging problem, especially when protection codes are active. In this paper, we introduce a new framework called MACAU. MACAU is based on a Markov chain model and can compute the intrinsic MTTFs of scrubbed caches as well as benchmark caches protected by various codes. MACAU is the first framework that quantifies the failure rates of caches due to the combined effects of SBUs, temporal MBUs and spatial MBUs.
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