具有内容感知的高效多级Cell STT-MRAM缓存

Qi Zeng, R. Jha, J. Peir
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引用次数: 0

摘要

自旋转移转矩磁阻随机存取存储器(STT-MRAM)具有高密度、低漏功率、读取速度快、无易失性等优点,是一种很有前途的存储技术,适用于大容量的片上级缓存。最近,多层单元(MLC) STT-MRAM在单个单元中记录两个比特,以进一步提高密度,以便构建更大的片上缓存。然而,MLC使写入能耗和续航力恶化。其硬畴和软畴的磁化方向不能同时翻转到两个相反的方向,这导致某些2位值更新组合存在两步过渡问题。两步跃迁会导致软畴的额外翻转,消耗高能量,并对MLC STT-MRAM的寿命产生负面影响。在本文中,我们提出了一个新的维度来缓解MLC中的高写入能量问题。在缓存替换过程中,我们从靠近LRU位置的几个候选块中选择替换块,以降低写能量,同时对缓存性能的影响最小。我们提出了一种新的块内容编码方法,用几个比特来表示整个块,并使用编码比特来更好地替换缓存。在选择替换块后,我们对每个更新的2位值进行智能重映射,以进一步减少写能量。性能评估结果表明,与使用常规Pseudo-LRU替换策略的MLC缓存相比,这种内容感知缓存替换可以降低26.1%的写能量
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Energy-Efficient Multi-Level Cell STT-MRAM Caches with Content Awareness
Spin-Transfer Torque Magnetoresistive Random Access Memory (STT-MRAM) is a promising memory technology, which has high density, low leakage power, fast read speed, and non-volatility, and is suitable for on-chip last-level caches with large capacity. Recently, Multi-Level Cell (MLC) STT-MRAM records two bits in a single cell to further improve the density for building even bigger on-chip caches. However, MLC worsens write energy consumption and endurance. The magnetization directions of its hard and soft domains cannot be flipped to two opposite directions simultaneously, which leads to the two-step transition problem for certain combinations of updating the 2-bit value. The two-step transition incurs extra flip in the soft domains, consume high energy, and negatively impact the life time of MLC STT-MRAM. In this paper, we present a new dimension to alleviate high write energy issue in MLC. During cache replacement, we select among a few candidates blocks close to the LRU position for replacement to lower the write energy with minimum impact on cache performance. We propose a novel block content encoding method to represent whole block with a few bits and use the encoding bits for better cache replacement. After picking the replacement block, we apply intelligent remap of each updated 2-bit values to further reduce the write energy. Performance evaluation results show this content-aware cache replacement can lower the write energy by 26.1% in comparison with MLC caches using regular Pseudo-LRU replacement polic
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