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Time-Slicing Soft Error Resilience in Microprocessors for Reliable and Energy-Efficient Execution

机译:微处理器中的时间分片软错误复原能力,可实现可靠且节能的执行

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摘要

Resilience to soft errors is essential for ensuring the robustness of a computing system. In this paper, we present a new soft error resilience approach called TSSER (time-sliced soft error resilience), which enables resilience features for instructions that are most likely to cause errors only to minimize system-level energy costs while achieving high levels of resilience. Our TSSER idea (1) takes advantage of the observation that protecting a fraction of the instructions in an application already achieves most of the resilience benefits, (2) utilizes circuit-level features that allow resilience mode to be turned on/off, and (3) bridges the gap between application knowledge and circuit features by devising novel ISA and microarchitectural techniques to achieve optimized tradeoffs. Our results obtained from RTL implementation and detailed simulation show that, for various applications from the SPEC and PARSEC benchmark suites, TSSER achieves 65X reduction in SDC rate (a common metric to measure soft error resilience) while imposing 16.8% (11.3%) processor-level energy cost for in-order (out-of-order) processors. This is a significant improvement compared to existing techniques that impose 32% - 81% (18% -83 %) energy overhead. Our technique also enables flexible tradeoffs between SDC rate and system costs.
机译:对软错误的恢复对于确保计算系统的健壮性至关重要。在本文中,我们提出了一种称为TSSER(时间分片的软错误弹性)的新软错误弹性方法,该方法可为最有可能导致错误的指令启用弹性功能,从而最大程度地降低了系统级能源成本,同时实现了较高的弹性水平。我们的TSSER思想(1)充分利用了以下观察力:保护应用程序中的一部分指令已经实现了大部分弹性优势;(2)利用电路级功能允许打开/关闭弹性模式,并且( 3)通过设计新颖的ISA和微体系结构技术来实现优化的权衡,弥合了应用知识与电路功能之间的鸿沟。我们从RTL实施和详细模拟获得的结果表明,对于SPEC和PARSEC基准套件的各种应用,TSSER将SDC速率(衡量软错误恢复能力的通用指标)降低了65倍,同时采用了16.8%(11.3%)的处理器,有序(无序)处理器的能源成本水平。与施加32%-81%(18%-83%)的能源开销的现有技术相比,这是一个重大改进。我们的技术还可以在SDC速率和系统成本之间进行灵活的权衡。

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