Exploring multi-banked shared-L1 program cache on ultra-low power, tightly coupled processor clusters

Igor Loi, D. Rossi, Germain Haugou, Michael Gautschi, L. Benini
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引用次数: 19

Abstract

L1 instruction caches in many-core systems represent a sizable fraction of the total power consumption. Although large instruction caches can significantly improve performance, they have the potential to increase power consumption. Private caches are usually able to achieve higher speed, due to their simpler design, but the smaller L1 memory space seen by each core induces a high miss ratio. Shared instruction cache can be seen as an attractive solution to improve performance and energy efficiency while reducing area. In this paper we propose a multi-banked, shared instruction cache architecture suitable for ultra-low power multicore systems, where parallelism and near threshold operation is used to achieve minimum energy. We implemented the cluster architecture with different configurations of cache sharing, utilizing the 28nm UTBB FD-SOI from STMicroelectronics as reference technology. Experimental results, based on several real-life applications, demonstrate that sharing mechanisms have no impact on the system operating frequency, and allow to reduce the energy consumption of the cache subsystem by up to 10%, while keeping the same area footprint, or reducing by 2× the overall shared cache area, while keeping the same performance and energy efficiency with respect to a cluster of processing elements with private program caches.
探索超低功耗、紧耦合处理器集群上的多银行共享l1程序缓存
在多核系统中,L1指令缓存占总功耗的很大一部分。尽管大型指令缓存可以显著提高性能,但它们有可能增加功耗。私有缓存通常能够实现更高的速度,因为它们的设计更简单,但是每个核心看到的较小的L1内存空间会导致较高的丢失率。共享指令缓存可以看作是一个有吸引力的解决方案,以提高性能和能源效率,同时减少面积。本文提出了一种适用于超低功耗多核系统的多银行共享指令缓存架构,该架构采用并行性和近阈值运算来实现最小能量。我们利用意法半导体的28nm UTBB FD-SOI作为参考技术,实现了不同配置的缓存共享集群架构。基于几个实际应用的实验结果表明,共享机制对系统的工作频率没有影响,并且可以在保持相同的区域足迹的情况下将缓存子系统的能耗降低10%,或者将总体共享缓存面积减少2倍,同时保持具有私有程序缓存的处理元素集群的相同性能和能源效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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