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

机译:ARM CPU上搅拌的软错误评估策略:微体建筑故障注射与中子束实验

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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:早期微架构级模拟CPU模型的故障注入和最终物理CPU芯片上的光束实验是两个建立的方法,以便在其设计流程的不同阶段访问微处理器的软误差可靠性。梁实验一方面,通过将其暴露于加速粒子通量,估计在现实物理状况中的预期软错误率。另一方面,处理器的微架构模型中的故障注入为通过整个系统堆栈(包括操作系统)的故障传播提供深入了解。结合光束实验和故障注入数据可以在现场部署时对设备的预期可靠性进行深度见解。然而,如果可以将故障注射误差率与光束实验报告的那些进行比较,并且这种比较可以在系统设计的早期阶段中通知软错误保护决策,这还尚不清楚。

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