Demystifying Soft Error Assessment Strategies on ARM CPUs: Microarchitectural Fault Injection vs. Neutron Beam Experiments

Athanasios Chatzidimitriou, Pablo Bodmann, G. Papadimitriou, D. Gizopoulos, P. Rech
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引用次数: 32

Abstract

Fault injection in early microarchitecture-level simulation CPU models and beam experiments on the final physical CPU chip are two established methodologies to access the soft error reliability of a microprocessor at different stages of its design flow. Beam experiments, on one hand, estimate the devices expected soft error rate in realistic physical conditions by exposing it to accelerated particles fluxes. Fault injection in microarchitectural models of the processor, on the other hand, provides deep insights on faults propagation through the entire system stack, including the operating system. Combining beam experiments and fault injection data can deliver deep insights about the devices expected reliability when deployed in the field. However, it is yet largely unclear if the fault injection error rates can be compared to those reported by beam experiments and how this comparison can lead to informed soft error protection decisions in early stages of the system design.
ARM cpu软错误评估策略揭密:微架构故障注入与中子束实验
早期微架构级仿真CPU模型中的故障注入和最终物理CPU芯片上的波束实验是两种常用的方法,用于获取微处理器在设计流程不同阶段的软误差可靠性。束流实验一方面通过将器件暴露在加速粒子流中来估计其在现实物理条件下预期的软错误率。另一方面,处理器微体系结构模型中的故障注入可以深入了解故障在整个系统堆栈(包括操作系统)中的传播情况。结合波束实验和故障注入数据,可以深入了解设备在现场部署时的预期可靠性。然而,目前还不清楚是否可以将故障注入错误率与光束实验报告的错误率进行比较,以及这种比较如何在系统设计的早期阶段导致知情的软错误保护决策。
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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