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Data Cache Techniques to Save Power and Deliver High Performance in Embedded Systems

机译:数据缓存技术可节省功耗并在嵌入式系统中提供高性能

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Minimizing power consumption continues to grow as a critical design issue for many platforms, from embedded systems to CMPs to ul-trascale parallel systems. As growing cache sizes consume larger portions of the die, reducing their power consumption becomes increasingly important. Voltage scaling reduces leakage power for cache lines unlikely to be referenced soon. Partitioning reduces dynamic power via smaller, specialized structures. We introduce a reuse distance (RD) drowsy caching mechanism that exploits temporal locality, delivers equivalent or better energy savings than the best policies from the literature, suffers little performance overhead, is simple to implement, and scales with cache size and hierarchy depth.
机译:从嵌入式系统到CMP,再到超大规模并行系统,使功耗最小化一直是许多平台的关键设计问题。随着不断增长的高速缓存大小消耗了更多的裸片,降低其功耗变得越来越重要。电压缩放可减少不太可能很快引用的高速缓存行的泄漏功率。分区通过较小的专用结构降低了动态功耗。我们引入了重用距离(RD)昏昏欲睡的缓存机制,该机制利用时间局部性,与文献中的最佳策略相比,可以提供同等或更好的节能效果,几乎没有性能开销,易于实现,并且可以根据缓存大小和层次深度进行扩展。

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