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Speculative tag access for reduced energy dissipation in set-associative L1 data caches

机译:推测性标签访问,可减少与集合相关的L1数据高速缓存中的能耗

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Due to performance reasons, all ways in set-associative level-one (L1) data caches are accessed in parallel for load operations even though the requested data can only reside in one of the ways. Thus, a significant amount of energy is wasted when loads are performed. We propose a speculation technique that performs the tag comparison in parallel with the address calculation, leading to the access of only one way during the following cycle on successful speculations. The technique incurs no execution time penalty, has an insignificant area overhead, and does not require any customized SRAM implementation. Assuming a 16kB 4-way set-associative L1 data cache implemented in a 65-nm process technology, our evaluation based on 20 different MiBench benchmarks shows that the proposed technique on average leads to a 24% data cache energy reduction.
机译:由于性能原因,即使请求的数据只能以一种方式驻留,也可以并行访问集关联一级(L1)数据高速缓存中的所有方式以进行加载操作。因此,当执行负载时浪费了大量的能量。我们提出一种推测技术,该技术与地址计算并行执行标签比较,从而导致在下一个周期成功进行推测时仅以一种方式进行访问。该技术不会产生执行时间损失,面积开销也很小,并且不需要任何定制的SRAM实现。假设在65纳米工艺技术中实现了16kB 4路组关联L1数据缓存,我们基于20种不同的MiBench基准进行的评估表明,所提出的技术平均可将数据缓存的能耗降低24%。

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