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首页> 外文期刊>Micro, IEEE >Decoupled Compressed Cache: Exploiting Spatial Locality for Energy Optimization
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Decoupled Compressed Cache: Exploiting Spatial Locality for Energy Optimization

机译:解耦的压缩缓存:利用空间局部性进行能源优化

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摘要

Last-level caches (LLCs) play a crucial role in reducing multicore system energy by filtering out expensive accesses to main memory. Cache compression can increase effective LLC capacity and reduce misses. However, previous designs limit compression benefits caused by internal fragmentation, limited tags, and energy-expensive recompaction when a block's size changes. The authors propose decoupled compressed cache (DCC), which uses decoupled superblocks and noncontiguous sub-block allocation to decrease tag overhead without increasing internal fragmentation and to eliminate the need for energy-expensive recompaction. They also demonstrate a practical design based on a recent commercial LLC design.
机译:末级缓存(LLC)通过过滤掉对主内存的昂贵访问,在降低多核系统能耗方面起着至关重要的作用。高速缓存压缩可以增加有效的LLC容量并减少遗漏。但是,以前的设计限制了内部碎片,有限标签和块大小变化时耗能的重新压缩所带来的压缩优势。作者提出了解耦的压缩缓存(DCC),该技术使用解耦的超级块和不连续的子块分配来减少标签开销,而又不增加内部碎片,并消除了耗费能源的重新压缩的需求。他们还展示了基于最新商业LLC设计的实用设计。

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