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Enhancing Performance and Energy Consumption of HER Caches by Adding Associativity

机译:通过添加关联性提高她的高速缓存的性能和能量消耗

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Unlike other previous techniques, the recently proposed Hard Error Recovery (HER) fault-tolerant cache provides 100% fault-coverage in L1 data caches. This full coverage makes the HER cache appropiate for fault-dominated future technology nodes. An n-way set-associative HER cache implements one cache way with fast SRAM banks and the remaining ways with eDRAM banks to address power and area. Since the number of eDRAM cache blocks used in a specific HER cache organization depends on the cache associativity (i.e., the implemented number of ways), we expect that the performance and energy consumption provided by a given HER cache design strongly depends on the cache geometry. In this work we study the behavior of the HER cache design when applied to a highly associative L1 cache like those found in some modern microprocessors. In particular this work explores a 32KB 8-way associative L1 data cache such as the one used in Intel Haswell microarchitecture. Experimental results show that, at low-power modes compared to a conventional cache with the same storage capacity and number of ways, area, leakage power, and dynamic energy savings of a 4-way HER cache are by 25%, 85%, and 62%, respectively. These percentages are further improved (by 40%, 89%, and 68%, respectively) when the cache associativity is increased to 8 ways, while the performance loss with respect to both an 8-way conventional cache and the 4-way HER cache is minimal.
机译:与其他先前的技术不同,最近提出的硬错误恢复(她)容错高速缓存在L1数据缓存中提供100%的故障覆盖。此全部覆盖范围使她的缓存适用于故障主导的未来技术节点。一个N-Way Set-Compariative她的缓存用快速SRAM银行和eDRAM银行的剩余方式实现一个缓存方式,以解决电力和区域。由于特定缓存组织中使用的EDRAM缓存块的数量取决于高速缓存关联性(即,实现的方式),因此我们期望给定的她的缓存设计提供的性能和能量消耗强烈取决于缓存几何形状。在这项工作中,我们研究她的缓存设计的行为,当应用于一些现代微处理器中发现的高度关联L1缓存时。特别是这项工作探讨了32KB的8路关联L1数据缓存,例如英特尔Haswelit Microchitecture中使用的。实验结果表明,与具有相同存储容量的传统高速缓存和方式,区域,泄漏功率和动态节能相比,在低功率模式下,4向其缓存的常规高速缓存是25%,85%,和分别为62%。当高速缓存相关性增加到8种方式时,这些百分比分别进一步改善(分别为40%,89%和68%),而相对于8路常规缓存的性能损失和她的缓存的4路是最小的。

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