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SLIP: Reducing wire energy in the memory hierarchy

机译:SLIP:减少存储器层次结构中的线能量

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Wire energy has become the major contributor to energy in large lower level caches. While wire energy is related to wire latency its costs are exposed differently in the memory hierarchy. We propose Sub-Level Insertion Policy (SLIP), a cache management policy which improves cache energy consumption by increasing the number of accesses from energy efficient locations while simultaneously decreasing intra-level data movement. In SLIP, each cache level is partitioned into several cache sublevels of differing sizes. Then, the recent reuse distance distribution of a line is used to choose an energy-optimized insertion and movement policy for the line. The policy choice is made by a hardware unit that predicts the number of accesses and inter-level movements. Using a full-system simulation including OS interactions and hardware overheads, we show that SLIP saves 35% energy at the L2 and 22% energy at the L3 level and performs 0.75% better than a regular cache hierarchy in a single core system. When configured to include a bypassing policy, SLIP reduces traffic to DRAM by 2.2%. This is achieved at the cost of storing 12b metadata per cache line (2.3% overhead), a 6b policy in the PTE, and 32b distribution metadata for each page in the DRAM (a overhead of 0.1%). Using SLIP in a multiprogrammed system saves 47% LLC energy, and reduces traffic to DRAM by 5.5%.
机译:线能量已成为大型低级缓存中能量的主要贡献者。尽管线能量与线等待时间有关,但其成本在内存层次结构中的暴露方式有所不同。我们提出了子级插入策略(SLIP),这是一种缓存管理策略,可通过增加从高能效位置访问的次数同时减少内部数据移动来提高缓存能耗。在SLIP中,每个缓存级别都分为几个大小不同的缓存子级别。然后,使用一条线的最近重用距离分布来为该线选择能量优化的插入和移动策略。策略选择由预测访问次数和级别间移动的硬件单元决定。通过使用包括操作系统交互和硬件开销在内的全系统模拟,我们显示SLIP在L2级别上节省了35%的能量,在L3级别上节省了22%的能量,并且比单核心系统中的常规缓存层次结构好0.75%。当配置为包括旁路策略时,SLIP会将DRAM的流量减少2.2%。这是以每条缓存行存储12b元数据(2.3%开销),在PTE中存储6b策略以及在DRAM中为每个页面存储32b分发元数据(开销为0.1%)为代价的。在多程序系统中使用SLIP可以节省47%的LLC能量,并减少5.5%的DRAM流量。

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