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An energy-efficient hybrid (CMOS-MTJ) TCAM using stochastic writes for approximate computing

机译:使用随机写入进行近似计算的高能效混合(CMOS-MTJ)TCAM

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We propose a novel writing scheme for hybrid CMOSMTJ TCAM cells to achieve low write energy for approximate computing applications, by exploiting the noise tolerant behavior of such computational paradigms. We show that by exploiting stochastic MTJ switching TCAM cell write energy and latency can be improved. In particular, for an n-bit TCAM, used for approximate computing application, the least significant bits (LSBs) can be operated with weak stochastic write conditions without a significant drop on match accuracy. Distance match accuracy for a 3-bit (LSB), 4T-2MTJ TCAM, designed using 90 nm CMOS technology node and 57 nm (diameter) perpendicular magnetic anisotropic (PMA) MTJ devices was investigated. Using a write probability of 0.97, the overall write energy per LSB was decreased by a factor of 2.3 x, while keeping the cell write latency ˜ 7 ns. Impact of MTJ device variability on TCAM cell parameters such as search noise margin (NM) was also analyzed.
机译:我们提出了一种用于混合CMOSMTJ TCAM单元的新颖写入方案,以通过利用这种计算范例的噪声容忍行为来实现近似计算应用的低写入能量。我们表明,通过利用随机MTJ切换,TCAM单元的写入能量和等待时间可以得到改善。特别是,对于用于近似计算应用的n位TCAM,最低有效位(LSB)可以在较弱的随机写入条件下运行,而不会显着降低匹配精度。研究了使用90 nm CMOS技术节点和57 nm(直径)垂直磁各向异性(PMA)MTJ器件设计的3位(LSB),4T-2MTJ TCAM的距离匹配精度。使用0.97的写入概率,每个LSB的总写入能量降低了2.3倍,同时保持单元写入等待时间〜7ns。还分析了MTJ设备可变性对TCAM单元参数(例如搜索噪声容限(NM))的影响。

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