首页> 外文会议>European conference on modelling and simulation >PHASED DROWSY I-CACHE WITH ON-DEMAND WAKEUP PREDICTION POLICY FOR HIGH-PERFORMANCE LOW-ENERGY MICROPROCESSORS
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PHASED DROWSY I-CACHE WITH ON-DEMAND WAKEUP PREDICTION POLICY FOR HIGH-PERFORMANCE LOW-ENERGY MICROPROCESSORS

机译:逐步昏昏欲睡的I-Cache,具有按需唤醒预测策略,适用于高性能低能量微处理器

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摘要

In this paper, we propose a phased drowsy instruction cache with on-demand wakeup prediction policy (called "phased on-demand policy") to reduce the leakage and dynamic energy with less performance overhead. As in prior non-phased on-demand policy, an extra stage for wakeup is inserted before the fetch stage in pipeline. The drowsy cache lines are woken up in wakeup stage and the wakeup latency is overlapped with the fetch latency. Unlike in non-phased on-demand policy, The tag and data array are accessed in two phases. The tag blocks are in active mode all the time and are accessed in wakeup stage. The data blocks are in drowsy mode except when they are accessed in fetch stage. The optimum trade-off point is tried to be reached between the increment of energy caused by always active tag array in wakeup stage and reduction of energy profitted from perfect way prediction. Experiments on 9 SPCE2000 benchmarks show that, compared with prior non-phased on-demand policy, our proposed policy can save 75.4% of energy for I-Cache and improve the EDP of whole processor by 6.9%. The performance overhead is only 0.42% on average.
机译:在本文中,我们提出了一个随需按需唤醒预测策略(称为“分阶段按需政策”)的相位昏昏欲的昏昏欲的指令缓存,以减少泄漏和动态能量,表现较小。与先前未分阶段的按需策略一样,在管道中的获取阶段之前插入唤醒的额外阶段。在唤醒阶段唤醒昏昏欲睡的缓存行,唤醒延迟与获取延迟重叠。与非分阶段的按需策略不同,标签和数据阵列分为两个阶段。标签块一直处于活动模式,并在唤醒阶段访问。除了在获取阶段访问时,数据块处于昏昏欲睡模式。尝试在唤醒阶段中始终处于活动标签阵列引起的能量增量和从完美的方式预测中的能量减少来达到最佳权衡点。 9个SPCE2000基准测试表明,与先前的非分阶段按需政策相比,我们拟议的政策可以节省75.4%的能源为I-Cache节省6.9%的整个处理器EDP。性能开销平均仅为0.42%。

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