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LP-NUCA: Networks-in-Cache for High-Performance Low-Power Embedded Processors

机译:LP-NUCA:高性能低功耗嵌入式处理器的缓存网络

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High-end embedded processors demand complex on-chip cache hierarchies satisfying several contradicting design requirements such as high-performance operation and low energy consumption. This paper introduces light-power (LP) nonuniform cache architecture (NUCA), a tiled-cache addressing both goals. LP-NUCA places a group of small and low-latency tiles between the L1 and the last level cache (LLC) that adapt better to the application working sets and keep most recently evicted blocks close to L1. LP-NUCA is built around three specialized “networks-in-cache,” each aimed at a separate cache operation. To prove the design feasibility, we have fully implemented LP-NUCA in a 90-nm technology. From the VLSI implementation, we observe that the proposed networks-in-cache incur minimal area, latency, and power overhead. To further reduce the energy consumption, LP-NUCA employs two network-wide techniques (miss wave stopping and sectoring) that together reduce the dynamic cache energy by 35% without degrading performance. Our evaluations also show that LP-NUCA improves performance with respect to cache hierarchies similar to those found in high-end embedded processors. Similar results have been obtained after scaling to a 32-nm technology.
机译:高端嵌入式处理器要求复杂的片上缓存层次结构,以满足诸如高性能操作和低能耗等矛盾的设计要求。本文介绍了光功率(LP)非均匀缓存体系结构(NUCA),这是一种同时满足两个目标的分块缓存。 LP-NUCA在L1和最后一级缓存(LLC)之间放置了一组小而低延迟的图块,这些图块更适合应用程序工作集,并使最近清除的块保持在L1附近。 LP-NUCA围绕三个专门的“缓存中网络”构建,每个网络都针对单独的缓存操作。为了证明设计的可行性,我们已经在90纳米技术中完全实施了LP-NUCA。从VLSI实施中,我们观察到拟议的缓存中网络会产生最小的面积,延迟和功耗。为了进一步降低能耗,LP-NUCA采用了两种网络范围的技术(停止波停止和扇区划分),它们共同将动态缓存能量降低了35%,而不会降低性能。我们的评估还表明,LP-NUCA在缓存层次结构方面的性能与在高端嵌入式处理器中发现的相似。扩展到32纳米技术后,也获得了类似的结果。

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