A Compiler Analysis to Determine Useful Cache Size for Energy Efficiency

Sanket Tavarageri, P. Sadayappan
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引用次数: 12

Abstract

As processor and memory system speeds have significantly diverged, system designers have introduced ever larger caches in an effort to supply the processor with data at a rate it is capable of processing it. However, application characteristics vary and not all programs can effectively utilize large caches due to their inherent data reuse properties. The inability to use all the available cache capacity leads to wasted cache power dissipation. The rising specter of "dark silicon" makes it critical to avoid wasted power on a chip.In this paper, we develop a compile-time approach to analyze data reuse characteristics of affine computations and deduce the useful cache size(s) for a given system configuration. The non-useful cache can be power-gated to save power. Analysis of benchmarks shows that significant fractions of the last level cache of current processors may be turned off with no performance loss.
一个编译器分析,以确定有用的缓存大小为能源效率
由于处理器和存储系统的速度已经显著地偏离,系统设计者已经引入了更大的缓存,以便以处理器能够处理的速度向处理器提供数据。但是,应用程序的特征各不相同,并且由于其固有的数据重用属性,并非所有程序都可以有效地利用大型缓存。无法使用所有可用的缓存容量会导致缓存功耗浪费。“暗硅”的幽灵不断上升,避免在芯片上浪费能量变得至关重要。在本文中,我们开发了一种编译时方法来分析仿射计算的数据重用特征,并推断出给定系统配置的有用缓存大小。无用的缓存可以通过电源门控来节省电力。对基准测试的分析表明,当前处理器的最后一级缓存的很大一部分可以在没有性能损失的情况下关闭。
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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