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Improved Way Prediction Policy for Low-Energy Instruction Caches

机译:低能耗指令缓存的改进方法预测策略

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摘要

In this paper, a multi-way way prediction policy (MWWP) with a two-port Way Predictor (TPWP) is proposed for reducing the dynamic and leakage energy in multi-way set associative drowsy I-Cache without dramatic loss of performance. One port of TPWP is used for predicting the matching way in current set, only the predicted way and not all the ways is accessed to reduce the dynamic energy. The other is used for predicting the matching way in subsequent set, only the cache line in predicted way is pre-woken up from the drowsy mode to reduce the leakage energy. Different with the traditional way prediction policy, the MWWP has the lower performance overhead by selecting multiple ways speculatively for each access to improve way prediction hit ratio (WPHR). The simulation and estimation results show that, in a 4-way set-associative drowsy I-Cache, with 0.98% and 0.4% performance overhead respectively, our proposed 2-way and 3-way way prediction policy with TPWP can reduce 59% and 47% of energy in I-Cache, and save the 6.1% and 5.4% of the whole processor energy. The EDP is improved by 4.5% and 4.1% on average.
机译:本文提出了一种具有两端口路径预测器(TPWP)的多路径预测策略(MWWP),以减少多路径集关联困倦I-Cache中的动态和泄漏能量,而不会显着降低性能。 TPWP的一个端口用于预测当前组中的匹配方式,仅访问预测的方式而不是访问所有方式来降低动态能量。另一个用于预测后续集合中的匹配方式,仅将处于预测方式的高速缓存行从困倦模式中唤醒,以减少泄漏能量。与传统的方式预测策略不同,MWWP通过为每个访问推测性地选择多种方式来提高方式预测命中率(WPHR),从而降低了性能开销。仿真和估计结果表明,在4路集关联沉睡I缓存中,分别具有0.98%和0.4%的性能开销,我们提出的带有TPWP的2路和3路预测策略可以减少59%和I-Cache中有47%的能量,并节省了整个处理器能量的6.1%和5.4%。 EDP​​平均提高了4.5%和4.1%。

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