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Predicting Architectural Vulnerability on Multithreaded Processors under Resource Contention and Sharing

机译:在资源争用和共享下预测多线程处理器上的体系结构漏洞

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摘要

Architectural vulnerability factor (AVF) characterizes a processor's vulnerability to soft errors. Interthread resource contention and sharing on a multithreaded processor (e.g., SMT, CMP) shows nonuniform impact on a program's AVF when it is co-scheduled with different programs. However, measuring the AVF is extremely expensive in terms of hardware and computation. This paper proposes a scalable two-level predictive mechanism capable of predicting a program's AVF on a SMT/CMP architecture from easily measured metrics. Essentially, the first-level model correlates the AVF in a contention-free environment with important performance metrics and the processor configuration, while the second-level model captures the interthread resource contention and sharing via processor structures' occupancies. By utilizing the proposed scheme, we can accurately estimate any unseen program's soft error vulnerability under resource contention and sharing with any other program(s), on an arbitrarily configured multithreaded processor. In practice, the proposed model can be used to find soft error resilient thread-to-core scheduling for multithreaded processors.
机译:架构脆弱性因素(AVF)表征了处理器对软错误的脆弱性。当与不同程序共同调度时,在多线程处理器(例如SMT,CMP)上的线程间资源争用和共享对程序的AVF产生不均匀的影响。但是,就硬件和计算而言,测量AVF极其昂贵。本文提出了一种可扩展的两级预测机制,该机制能够根据易于测量的指标来预测SMT / CMP架构上程序的AVF。本质上,第一层模型将无争用环境中的AVF与重要的性能指标和处理器配置相关联,而第二层模型捕获线程间资源争用并通过处理器结构的占用率进行共享。通过利用所提出的方案,我们可以在任意配置的多线程处理器上,在资源争用并与任何其他程序共享的情况下,准确估计任何看不见的程序的软错误漏洞。在实践中,提出的模型可用于为多线程处理器找到软错误弹性线程到核心调度。

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