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

机译:使ARM CPU的软错误评估策略神秘化:微体系结构故障注入与中子束实验

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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.
机译:早期的微体系结构级仿真CPU模型中的故障注入和最终物理CPU芯片上的波束实验是在微处理器设计流程的不同阶段访问微处理器的软错误可靠性的两种已建立方法。束流实验一方面通过将设备暴露在加速的粒子通量下,估算设备在实际物理条件下的预期软错误率。另一方面,处理器的微体系结构模型中的故障注入提供了有关故障在整个系统堆栈(包括操作系统)中传播的深刻见解。将束流实验和故障注入数据结合在一起,可以提供有关在现场部署时设备预期可靠性的深刻见解。但是,目前尚不清楚是否可以将故障注入错误率与波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就可以做出明智的软错误保护决策。

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