Parallel Computing in Memory Paradigm based on Reconfigurable Spin-Orbit Torque

Zhongkui Zhang, Chao Wang, Zhaohao Wang
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Abstract

We proposed a parallel computing in memory paradigm based on reconfigurable spin-orbit torque switching. The proposed paradigm can efficiently perform XNOR operation without complicated steps or modifications to array structure. Compared to traditional design, 50% writing energy and 2× sensing margin can be achieved.
基于可重构自旋-轨道转矩的内存范式并行计算
提出了一种基于可重构自旋-轨道转矩开关的内存并行计算模式。该方法无需复杂的操作步骤,也无需对数组结构进行修改,即可有效地完成XNOR操作。与传统设计相比,可实现50%的书写能量和2倍的感应余量。
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