基于可重构自旋-轨道转矩的内存范式并行计算

Proceedings of the 17th ACM International Symposium on Nanoscale Architectures Pub Date : 2022-12-07 DOI:10.1145/3565478.3572531

Zhongkui Zhang, Chao Wang, Zhaohao Wang

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引用次数: 0

摘要

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

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.

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Proceedings of the 17th ACM International Symposium on Nanoscale Architectures

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