在基于fpga的汽车应用中减轻多事件干扰的影响

Manar N. Shaker, A. Hussien, G. Alkady, H. Amer, I. Adly
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引用次数: 5

摘要

在汽车工业中,许多应用目前都是在现场可编程门阵列(fpga)上实现的。如今,由于晶体管尺寸的不断缩小,fpga除了受到充分研究的单事件干扰(seu)之外,还受到多事件干扰(meu)的影响。容错通常用来缓解这个问题。本文解释了为什么目前使用的容错技术(如擦洗)可能会产生一些错误的输出;此外,三模冗余可能无法从meu恢复。Penta模块化冗余可以有效地从meu和seu中恢复;但是,它无法检测到一些故障场景。采用六边形模块冗余容错技术解决了这一问题。使用马尔可夫模型计算五边形和六边形模块化冗余的可靠性,以研究系统可靠性的预期增加是否超过额外增加冗余的成本。最后,使用Xilinx Vivado工具估计由于增加冗余而导致的架构消耗的额外功率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mitigating the Effect of Multiple Event Upsets in FPGA-Based Automotive Applications
In the Automotive Industry, many applications are currently implemented on Field Programmable Gate Arrays (FPGAs). Nowadays, due to the continuous shrinking of transistor dimensions, FPGAs are subjected to Multiple Event Upsets (MEUs) in addition to the well-studied Single Event Upsets (SEUs). Fault tolerance is often used to mitigate this problem. This paper explains why the currently utilized fault-tolerant techniques such as scrubbing will probably produce some erroneous outputs; further more Triple Modular Redundancy may not recover from MEUs. Penta Modular Redundancy can efficiently recover from MEUs as well as SEUs; however, it cannot detect some faulty scenarios. This problem is solved by using the Hexa Modular Redundancy fault tolerant technique. The reliabilities of both Penta and Hexa Modular Redundancy are calculated using Markov models to investigate whether the expected increase in system reliability outweighs the cost of extra added redundancy. Finally, the extra power consumed by the architecture due to the added redundancy is estimated using Xilinx Vivado tools.
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