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Vulnerability-Aware Energy Optimization for Reconfigurable Caches in Multitasking Systems

机译:多任务系统中可重新配置缓存的漏洞感知能量优化

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摘要

Cache vulnerability due to soft errors is one of the reliability concerns in embedded systems. Dynamic reconfiguration techniques are widely studied for improving cache energy without considering the implications of cache vulnerability. Maintaining a useful data longer in the cache can be beneficial for energy improvement due to reduction in miss rates, however, longer data retention negatively impacts the vulnerability due to soft errors. This paper studies the tradeoff between energy efficiency improvement and reduction in cache vulnerability during cache reconfiguration. We propose a heuristic approach for both intertask and intratask cache reconfiguration in multitasking systems. Experimental results demonstrate that our proposed approach can significantly improve both vulnerability (25% on average) and energy efficiency (21% on average) for data cache without violating real-time constraints.
机译:由于软错误引起的缓存漏洞是嵌入式系统中的可靠性问题之一。在不考虑缓存脆弱性的情况下,广泛研究动态重新配置技术以改善缓存能量。在缓存中保持有用的数据,由于失常的速率降低,高速缓存中的能量改善可能是有益的,但是,由于软错误导致的漏洞,更长的数据保留会对脆弱性产生负面影响。本文研究了高速缓存重新配置期间能源效率提高和缓存漏洞之间的权衡。我们为多任务系统中提出了一种启发式方法,可以在多任务系统中进行intertask和intratism缓存重新配置。实验结果表明,我们的建议方法可以显着改善漏洞(平均平均25%)和能效(平均平均21%),而无需违反实时约束。

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