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WALL: A writeback-aware LLC management for PCM-based main memory systems

机译:WALL:基于PCM的主存储系统的回写感知LLC管理

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In this paper, we propose WALL, a novel writeback-aware LLC management scheme to reduce the number of LLC writebacks and consequently improve performance, energy efficiency, and lifetime of a PCM-based main memory system. First, we investigate the writeback behavior of LLC sets and show that writebacks are not uniformly distributed among sets; some sets observe much higher writeback rates than others. We then propose a writeback-aware set-balancing mechanism, which employs the underutilized LLC sets with few writebacks as an auxiliary storage for storing the evicted dirty lines of sets with frequent writebacks. We also propose a simple and effective writeback-aware replacement policy to avoid the eviction of the writeback blocks that are highly reused after being evicted from the cache. Our experimental results show that WALL achieves an average of 26.6% reduction in the total number of LLC writebacks, compared to the baseline scheme, which uses the LRU replacement policy. As a result, WALL can reduce the memory energy consumption by 19.2% and enhance PCM lifetime by 1.25x, on average, on an 8-core system with a 4GB PCM main memory, running memory intensive applications.
机译:在本文中,我们提出了WALL,这是一种新颖的可感知回写的LLC管理方案,可减少LLC回写的次数,从而提高基于PCM的主存储系统的性能,能效和使用寿命。首先,我们研究LLC集的写回行为,并表明写回在集之间的分布不均匀。有些集的回写率比其他集高得多。然后,我们提出了一种可感知回写的集平衡机制,该机制将回写少的未充分利用的LLC集合用作辅助存储,用于存储频繁回写的集合的脏行。我们还提出了一种简单有效的回写感知替换策略,以避免驱逐从缓存中逐出的高度复用的回写块。我们的实验结果表明,与使用LRU替换策略的基准方案相比,WALL的LLC回写总数平均减少了26.6%。因此,在具有4GB PCM主内存的8核系统上,WALL可以将内存能耗平均降低19.2%,并将PCM寿命平均延长1.25倍,从而运行内存密集型应用程序。

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